Name	Value Type	Description
events_gaid_accept_all_g_15day_ratio	NUMBER	The percentage of records with the decision result of accept in all events in all industries in the past 15 natural days with gaid
events_gaid_accept_all_g_180day_ratio	NUMBER	The percentage of records with the decision result of accept in all events in all industries in the past 180 natural days with gaid
events_gaid_accept_all_g_30day_ratio	NUMBER	The percentage of records with the decision result of accept in all events in all industries in the past 30 natural days with gaid
events_gaid_accept_all_g_365day_ratio	NUMBER	The percentage of records with the decision result of accept in all events in all industries in the past 365 natural days with gaid
events_gaid_accept_all_g_60day_ratio	NUMBER	The percentage of records with the decision result of accept in all events in all industries in the past 60 natural days with gaid
events_gaid_accept_all_g_90day_ratio	NUMBER	The percentage of records with the decision result of accept in all events in all industries in the past 90 natural days with gaid
events_gaid_all_g_15day_accept_count	NUMBER	The number of times all decision results are Accept in the past 15 natural days with gaid
events_gaid_all_g_15day_count	NUMBER	The number of times all events in the industry have appeared in the past 15 natural days with gaid
events_gaid_all_g_15day_daytime_count	NUMBER	The number of records that occurred during the day in all industries and all events in the past 15 natural days with gaid
events_gaid_all_g_15day_daytime_ratio	NUMBER	The proportion of all events in the industry that occurred during the day in the past 15 natural days with gaid
events_gaid_all_g_15day_l1imbank_count	NUMBER	The number of times all events in the non-bank financial industry occurred in the past 15 natural days with gaid
events_gaid_all_g_15day_l1imbank_daytime_count	NUMBER	The number of events in the non-bank financial industry that occurred during the day in the past 15 natural days with gaid
events_gaid_all_g_15day_l1imbank_daytime_ratio	NUMBER	The proportion of all events in the non-bank financial industry that occurred during the day in the past 15 natural days with gaid
events_gaid_all_g_15day_reject_count	NUMBER	The number of times all decision results are Reject in the past 15 natural days with gaid
events_gaid_all_g_15day_review_count	NUMBER	The number of records with the decision result of review in the past 15 natural days with gaid
events_gaid_all_g_15day_workday_count	NUMBER	The number of times all events in the industry occurred on working days in the past 15 natural days with gaid
events_gaid_all_g_15day_workday_ratio	NUMBER	The proportion of all events in the industry that occurred on working days in the past 15 natural days with gaid
events_gaid_all_g_180day_accept_count	NUMBER	The number of times all decision results are Accept in the past 180 natural days with gaid
events_gaid_all_g_180day_count	NUMBER	The number of occurrences of all events in the industry in the past 180 natural days with gaid
events_gaid_all_g_180day_daytime_count	NUMBER	The number of records that occurred during the day in all industries and all events in the past 180 natural days with gaid
events_gaid_all_g_180day_daytime_ratio	NUMBER	The proportion of all events in the industry that occurred during the day in the past 180 natural days with gaid
events_gaid_all_g_180day_l1imbank_count	NUMBER	The number of all events in the non-bank financial industry that occurred in the past 180 natural days with gaid
events_gaid_all_g_180day_l1imbank_daytime_count	NUMBER	The number of events in the non-bank financial industry that occurred during the day in the past 180 natural days with gaid
events_gaid_all_g_180day_l1imbank_daytime_ratio	NUMBER	The proportion of all events in the non-bank financial industry that occurred during the day in the past 180 natural days with gaid
events_gaid_all_g_180day_reject_count	NUMBER	The number of times all decision results are Reject in the past 180 natural days with gaid
events_gaid_all_g_180day_review_count	NUMBER	The number of records with the decision result of review in the past 180 natural days
events_gaid_all_g_180day_workday_count	NUMBER	The number of times all events in the industry occurred on working days in the past 180 natural days with gaid
events_gaid_all_g_180day_workday_ratio	NUMBER	The proportion of all events in the industry that occurred on working days in the past 180 natural days with gaid
events_gaid_all_g_30day_accept_count	NUMBER	The number of times all decision results are Accept in the past 30 natural days with gaid
events_gaid_all_g_30day_count	NUMBER	The number of occurrences in all events in the industry in the past 30 natural days with gaid
events_gaid_all_g_30day_daytime_count	NUMBER	The number of records that occurred during the day in all industries and all events in the past 30 natural days with gaid
events_gaid_all_g_30day_daytime_ratio	NUMBER	The proportion of all events in the industry that occurred during the day in the past 30 natural days with gaid
events_gaid_all_g_30day_l1imbank_count	NUMBER	The number of times all events in the non-bank financial industry occurred in the past 30 natural days with gaid
events_gaid_all_g_30day_l1imbank_daytime_count	NUMBER	The number of events in the non-bank financial industry that occurred during the day in the past 30 natural days with gaid
events_gaid_all_g_30day_l1imbank_daytime_ratio	NUMBER	The proportion of all events in the non-bank financial industry that occurred during the day in the past 30 natural days with gaid
events_gaid_all_g_30day_reject_count	NUMBER	The number of times all decision results are Reject in the past 30 natural days with gaid
events_gaid_all_g_30day_review_count	NUMBER	The number of records with the decision result of review in the past 30 natural days with gaid
events_gaid_all_g_30day_workday_count	NUMBER	The number of times all events in the industry occurred on working days in the past 30 natural days with gaid
events_gaid_all_g_30day_workday_ratio	NUMBER	The proportion of all events in the industry that occurred on working days in the past 30 natural days with gaid
events_gaid_all_g_365day_accept_count	NUMBER	The number of times all decision results are Accept in the past 365 natural days with gaid
events_gaid_all_g_365day_count	NUMBER	The number of times it appears in all events in the industry in the past 365 natural days with gaid
events_gaid_all_g_365day_daytime_count	NUMBER	The number of records that occurred during the day in all industries and all events in the past 365 natural days with gaid
events_gaid_all_g_365day_daytime_ratio	NUMBER	The proportion of all events in the industry that occurred during the day in the past 365 natural days with gaid
events_gaid_all_g_365day_l1imbank_count	NUMBER	The number of times all events in the non-bank financial industry occurred in the past 365 natural days with gaid
events_gaid_all_g_365day_l1imbank_daytime_count	NUMBER	The number of times all events in the non-bank financial industry occurred during the day in the past 365 natural days with gaid
events_gaid_all_g_365day_l1imbank_daytime_ratio	NUMBER	The proportion of all events in the non-bank financial industry that occurred during the day in the past 365 natural days with gaid
events_gaid_all_g_365day_reject_count	NUMBER	The number of times all decision results are Reject in the past 365 natural days with gaid
events_gaid_all_g_365day_review_count	NUMBER	The number of records with the decision result of review in the past 365 natural days with gaid
events_gaid_all_g_365day_workday_count	NUMBER	The number of times all events in the industry occurred on working days in the past 365 natural days with gaid
events_gaid_all_g_365day_workday_ratio	NUMBER	The proportion of all events in the industry that occurred on working days in the past 365 natural days with gaid
events_gaid_all_g_60day_accept_count	NUMBER	The number of times all decision results are Accept in the past 60 natural days with gaid
events_gaid_all_g_60day_count	NUMBER	The number of occurrences of all events in the industry in the past 60 natural days with gaid
events_gaid_all_g_60day_daytime_count	NUMBER	The number of records that occurred during the day in all industries and all events in the past 60 natural days with gaid
events_gaid_all_g_60day_daytime_ratio	NUMBER	The proportion of all events in the industry that occurred during the day in the past 60 natural days with gaid
events_gaid_all_g_60day_l1imbank_count	NUMBER	The number of times all events in the non-bank financial industry occurred in the past 60 natural days with gaid
events_gaid_all_g_60day_l1imbank_daytime_count	NUMBER	The number of events in the non-bank financial industry that occurred during the day in the past 60 natural days with gaid
events_gaid_all_g_60day_l1imbank_daytime_ratio	NUMBER	The proportion of all events in the non-bank financial industry that occurred during the day in the past 60 natural days with gaid
events_gaid_all_g_60day_reject_count	NUMBER	The number of times all decision results are Reject in the past 60 natural days with gaid
events_gaid_all_g_60day_review_count	NUMBER	The number of records with the decision result of review in the past 60 natural days
events_gaid_all_g_60day_workday_count	NUMBER	The number of times all events in the industry occurred on working days in the past 60 natural days with gaid
events_gaid_all_g_60day_workday_ratio	NUMBER	The proportion of all events in the industry that occurred on working days in the past 60 natural days with gaid
events_gaid_all_g_90day_accept_count	NUMBER	The number of times all decision results are Accept in the past 90 natural days with gaid
events_gaid_all_g_90day_count	NUMBER	The number of occurrences of all events in the industry in the past 90 natural days with gaid
events_gaid_all_g_90day_daytime_count	NUMBER	The number of records that occurred during the day in all industries and all events in the past 90 natural days with gaid
events_gaid_all_g_90day_daytime_ratio	NUMBER	The proportion of all events in the industry that occurred during the day in the past 90 natural days with gaid
events_gaid_all_g_90day_l1imbank_count	NUMBER	The number of all events in the non-bank financial industry that occurred in the past 90 natural days with gaid
events_gaid_all_g_90day_l1imbank_daytime_count	NUMBER	The number of events in the non-bank financial industry that occurred during the day in the past 90 natural days with gaid
events_gaid_all_g_90day_l1imbank_daytime_ratio	NUMBER	The proportion of all events in the non-bank financial industry that occurred during the day in the past 90 natural days with gaid
events_gaid_all_g_90day_reject_count	NUMBER	The number of times all decision results are Reject in the past 90 natural days with gaid
events_gaid_all_g_90day_review_count	NUMBER	The number of records with the decision result of review in the past 90 natural days with gaid
events_gaid_all_g_90day_workday_count	NUMBER	The number of times all events in the industry occurred on working days in the past 90 natural days with gaid
events_gaid_all_g_90day_workday_ratio	NUMBER	The proportion of all events in the industry that occurred on working days in the past 90 natural days with gaid
events_gaid_apptype_all_g_15day_count	NUMBER	The number of app types in all events in the industry within 15 natural days associated with gaid
events_gaid_apptype_all_g_15day_d_count	NUMBER	The number of app types in all events in the industry within 15 natural days associated with gaid
events_gaid_apptype_all_g_180day_count	NUMBER	The number of app types in all events in the industry within 180 natural days associated with gaid
events_gaid_apptype_all_g_180day_d_count	NUMBER	The number of app types in all events in the industry within 180 natural days associated with gaid
events_gaid_apptype_all_g_30day_count	NUMBER	The number of app types in all events in the industry within 30 natural days associated with gaid
events_gaid_apptype_all_g_30day_d_count	NUMBER	The number of app types in all events in the industry within 30 natural days associated with gaid
events_gaid_apptype_all_g_365day_count	NUMBER	The number of app types in all events in the industry within 365 natural days associated with gaid
events_gaid_apptype_all_g_365day_d_count	NUMBER	The number of app types in all events in the industry within 365 natural days associated with gaid
events_gaid_apptype_all_g_60day_count	NUMBER	The number of app types in all events in the industry within 60 natural days associated with gaid
events_gaid_apptype_all_g_60day_d_count	NUMBER	The number of app types in all events in the industry within 60 natural days associated with gaid
events_gaid_apptype_all_g_90day_count	NUMBER	The number of app types in all events in the industry within 90 natural days associated with gaid
events_gaid_apptype_all_g_90day_d_count	NUMBER	The number of app types in all events in the industry within 90 natural days associated with gaid
events_gaid_cv_30day_partner_all_g_180day_d_count	NUMBER	The coefficient of variation of the number of platforms in 30 days in all events in the industry within 180 natural days associated with gaid
events_gaid_cv_30day_partner_all_g_365day_d_count	NUMBER	The coefficient of variation of the number of platforms in 30 days in all events in the entire industry within 365 natural days associated with gaid
events_gaid_cv_30day_partner_all_g_60day_d_count	NUMBER	The coefficient of variation of the number of platforms in 30 days in all events in the industry within 60 natural days associated with gaid
events_gaid_cv_30day_partner_all_g_90day_d_count	NUMBER	The coefficient of variation of the number of platforms in 30 days in all events in the industry within 90 natural days associated with gaid
events_gaid_d_count_10day_partner_all_g_180day_l1imbank_avg	NUMBER	The average number of 10-day platforms in all events in the non-bank financial industry within 180 natural days associated with gaid
events_gaid_d_count_10day_partner_all_g_30day_l1imbank_avg	NUMBER	The average number of platforms in all events in the non-bank financial industry within 30 natural days associated with gaid
events_gaid_d_count_10day_partner_all_g_365day_l1imbank_avg	NUMBER	The average number of 10-day platforms in all events in the non-bank financial industry within 365 natural days associated with gaid
events_gaid_d_count_10day_partner_all_g_60day_l1imbank_avg	NUMBER	The average number of 10-day platforms in all events in the non-bank financial industry within 60 natural days associated with gaid
events_gaid_d_count_10day_partner_all_g_90day_l1imbank_avg	NUMBER	The average number of 10-day platforms in all events in the non-bank financial industry within 90 natural days associated with gaid
events_gaid_d_count_10day_partner_disburse_g_180day_l1imbank_avg	NUMBER	The average number of 10-day platforms in the non-bank financial industry credit incidents associated with gaid within 180 natural days
events_gaid_d_count_10day_partner_disburse_g_30day_l1imbank_avg	NUMBER	The average number of 10-day platforms in the non-bank financial industry credit incidents associated with gaid within 30 natural days
events_gaid_d_count_10day_partner_disburse_g_365day_l1imbank_avg	NUMBER	The average number of 10-day platforms in the non-bank financial industry credit incidents within 365 natural days associated with gaid
events_gaid_d_count_10day_partner_disburse_g_60day_l1imbank_avg	NUMBER	The average number of 10-day platforms in the non-bank financial industry credit incidents associated with gaid within 60 natural days
events_gaid_d_count_10day_partner_disburse_g_90day_l1imbank_avg	NUMBER	The average number of 10-day platforms in the non-bank financial industry credit incidents associated with gaid within 90 natural days
events_gaid_d_count_10day_partner_idv_g_180day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day identity authentication events in the non-bank financial industry within 180 natural days associated with gaid
events_gaid_d_count_10day_partner_idv_g_30day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day identity authentication events in the non-bank financial industry within 30 natural days associated with gaid
events_gaid_d_count_10day_partner_idv_g_365day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day identity authentication events in the non-bank financial industry within 365 natural days associated with gaid
events_gaid_d_count_10day_partner_idv_g_60day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day identity authentication events in the non-bank financial industry within 60 natural days associated with gaid
events_gaid_d_count_10day_partner_idv_g_90day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day identity authentication events in the non-bank financial industry within 90 natural days associated with gaid
events_gaid_d_count_10day_partner_loan_g_180day_l1imbank_avg	NUMBER	The average number of 10-day platforms in the credit granting events in the non-bank financial industry within 180 natural days associated with gaid
events_gaid_d_count_10day_partner_loan_g_30day_l1imbank_avg	NUMBER	The average number of 10-day platforms in the credit granting events in the non-bank financial industry within 30 natural days associated with gaid
events_gaid_d_count_10day_partner_loan_g_365day_l1imbank_avg	NUMBER	The average number of 10-day platforms in the credit granting events in the non-bank financial industry within 365 natural days associated with gaid
events_gaid_d_count_10day_partner_loan_g_60day_l1imbank_avg	NUMBER	The average of the 10-day platform number in the credit granting events in the non-bank financial industry within 60 natural days associated with gaid
events_gaid_d_count_10day_partner_loan_g_90day_l1imbank_avg	NUMBER	The average number of 10-day platforms in the credit granting events in the non-bank financial industry within 90 natural days associated with gaid
events_gaid_d_count_10day_partner_login_g_180day_l1imbank_avg	NUMBER	The average number of 10-day platforms in the login events of the non-bank financial industry within 180 natural days associated with gaid
events_gaid_d_count_10day_partner_login_g_30day_l1imbank_avg	NUMBER	The average number of 10-day platforms in the login events of the non-bank financial industry within 30 natural days associated with gaid
events_gaid_d_count_10day_partner_login_g_365day_l1imbank_avg	NUMBER	The average number of 10-day platforms in the login events of the non-bank financial industry within 365 natural days associated with gaid
events_gaid_d_count_10day_partner_login_g_60day_l1imbank_avg	NUMBER	The average number of 10-day platforms in the login events of the non-bank financial industry within 60 natural days associated with gaid
events_gaid_d_count_10day_partner_login_g_90day_l1imbank_avg	NUMBER	The average number of 10-day platforms in the login events of the non-bank financial industry within 90 natural days associated with gaid
events_gaid_d_count_partner_disburse_g_180day_ratio	NUMBER	The ratio of the number of different platforms in the industry's credit incidents in the past 30 natural days to the number of different platforms in the industry's credit incidents in 30-180 natural days
events_gaid_d_count_partner_disburse_g_365day_ratio	NUMBER	The ratio of the number of different platforms in the industry's credit incidents in the last 30 natural days to the number of different platforms in the industry's credit incidents in 30-365 natural days
events_gaid_d_count_partner_disburse_g_60day_ratio	NUMBER	The ratio of the number of different platforms in the industry's credit incidents in the past 30 natural days to the number of different platforms in the industry's credit incidents in 30-60 natural days
events_gaid_d_count_partner_disburse_g_90day_ratio	NUMBER	The ratio of the number of different platforms in the industry's credit incidents in the past 30 natural days to the number of different platforms in the industry's credit incidents in 30-90 natural days
events_gaid_d_count_partner_idv_g_180day_ratio	NUMBER	The ratio of the number of identity authentication events on different platforms in the industry within the last 30 natural days to the number of identity authentication events on different platforms in the industry within 30-180 natural days
events_gaid_d_count_partner_idv_g_365day_ratio	NUMBER	The ratio of the number of identity authentication events on different platforms in the industry within the last 30 natural days to the number of identity authentication events on different platforms in the industry within 30-365 natural days
events_gaid_d_count_partner_idv_g_60day_ratio	NUMBER	The ratio of the number of identity authentication events on different platforms in the industry within the last 30 natural days to the number of identity authentication events on different platforms in the industry within 30-60 natural days
events_gaid_d_count_partner_idv_g_90day_ratio	NUMBER	The ratio of the number of identity authentication events on different platforms in the industry within the last 30 natural days to the number of identity authentication events on different platforms in the industry within 30-90 natural days
events_gaid_d_count_partner_loan_g_180day_ratio	NUMBER	The ratio of the number of different platforms in the credit granting events in the whole industry within the last 30 natural days to the number of different platforms in the credit granting events in the whole industry within 30-180 natural days
events_gaid_d_count_partner_loan_g_365day_ratio	NUMBER	The ratio of the number of different platforms in the credit granting events in the whole industry within the last 30 natural days to the number of different platforms in the credit granting events in the whole industry within 30-365 natural days
events_gaid_d_count_partner_loan_g_60day_ratio	NUMBER	The ratio of the number of different platforms in the credit granting events in the whole industry within the last 30 natural days to the number of different platforms in the credit granting events in the whole industry within 30-60 natural days
events_gaid_d_count_partner_loan_g_90day_ratio	NUMBER	The ratio of the number of different platforms in the credit granting events in the whole industry within the last 30 natural days to the number of different platforms in the credit granting events in the whole industry within 30-90 natural days
events_gaid_d_count_partner_login_g_180day_ratio	NUMBER	The ratio of the number of different platforms in the industry's login events in the last 30 natural days to the number of different platforms in the industry's login events in the last 30-180 natural days
events_gaid_d_count_partner_login_g_365day_ratio	NUMBER	The ratio of the number of different platforms in the industry's login events in the last 30 natural days to the number of different platforms in the industry's login events in 30-365 natural days
events_gaid_d_count_partner_login_g_60day_ratio	NUMBER	The ratio of the number of different platforms in the industry's login events in the last 30 natural days to the number of different platforms in the industry's login events in 30-60 natural days
events_gaid_d_count_partner_login_g_90day_ratio	NUMBER	The ratio of the number of different platforms in the industry's login events in the last 30 natural days to the number of different platforms in the industry's login events in 30-90 natural days
events_gaid_daydiff_disburse_g_15day_l1imbank_max	NUMBER	The maximum record interval (days) of credit incidents in the non-bank financial industry in the past 15 natural days with gaid
events_gaid_daydiff_disburse_g_15day_l1imbank_min	NUMBER	The minimum record interval (days) of credit incidents in the non-bank financial industry in the past 15 natural days with gaid
events_gaid_daydiff_disburse_g_180day_l1imbank_max	NUMBER	The maximum record interval (days) of credit incidents in the non-bank financial industry in the past 180 natural days with gaid
events_gaid_daydiff_disburse_g_180day_l1imbank_min	NUMBER	The minimum record interval (days) of credit incidents in the non-bank financial industry in the past 180 natural days with gaid
events_gaid_daydiff_disburse_g_30day_l1imbank_max	NUMBER	The maximum record interval (days) of credit incidents in the non-bank financial industry in the past 30 natural days with gaid
events_gaid_daydiff_disburse_g_30day_l1imbank_min	NUMBER	The minimum record interval (days) of credit incidents in the non-bank financial industry in the past 30 natural days with gaid
events_gaid_daydiff_disburse_g_365day_l1imbank_max	NUMBER	The maximum record interval (days) of credit incidents in the non-bank financial industry in the past 365 natural days with gaid
events_gaid_daydiff_disburse_g_365day_l1imbank_min	NUMBER	The minimum record interval (days) of credit incidents in the non-bank financial industry in the past 365 natural days with gaid
events_gaid_daydiff_disburse_g_60day_l1imbank_max	NUMBER	The maximum record interval (days) of credit incidents in the non-bank financial industry in the past 60 natural days with gaid
events_gaid_daydiff_disburse_g_60day_l1imbank_min	NUMBER	The minimum record interval (days) of credit incidents in the non-bank financial industry in the past 60 natural days with gaid
events_gaid_daydiff_disburse_g_90day_l1imbank_max	NUMBER	The maximum record interval (days) of credit incidents in the non-bank financial industry in the past 90 natural days with gaid
events_gaid_daydiff_disburse_g_90day_l1imbank_min	NUMBER	The minimum record interval (days) of credit incidents in the non-bank financial industry in the past 90 natural days with gaid
events_gaid_daydiff_first_disburse_g_15day	NUMBER	The number of days from the first record of credit events in all industries in the past 15 natural days to the current time with gaid
events_gaid_daydiff_first_disburse_g_180day	NUMBER	The number of days from the first record of credit events in all industries in the past 180 natural days to the current time with gaid
events_gaid_daydiff_first_disburse_g_30day	NUMBER	The number of days from the first record of credit events in all industries in the past 30 natural days to the current time with gaid
events_gaid_daydiff_first_disburse_g_365day	NUMBER	The number of days from the current date to the first record of credit events in all industries in the past 365 natural days with gaid
events_gaid_daydiff_first_disburse_g_60day	NUMBER	The number of days from the first record of credit events in all industries in the past 60 natural days to the current time with gaid
events_gaid_daydiff_first_disburse_g_90day	NUMBER	The number of days from the current date to the first record of credit events in all industries in the past 90 natural days with gaid
events_gaid_daydiff_first_idv_g_15day	NUMBER	The number of days from the first record of identity authentication events in all industries in the past 15 natural days to the current time with gaid
events_gaid_daydiff_first_idv_g_180day	NUMBER	The number of days from the first record of identity authentication events in all industries in the past 180 natural days to the current time with gaid
events_gaid_daydiff_first_idv_g_30day	NUMBER	The number of days from the first record of identity authentication events in all industries in the past 30 natural days to the current time with gaid
events_gaid_daydiff_first_idv_g_365day	NUMBER	The number of days from the first record of identity authentication events in all industries in the past 365 natural days to the current time with gaid
events_gaid_daydiff_first_idv_g_60day	NUMBER	The number of days from the first record of identity authentication events in all industries in the past 60 natural days to the current time with gaid
events_gaid_daydiff_first_idv_g_90day	NUMBER	The number of days from the first record of identity authentication events in all industries in the past 90 natural days to the current time with gaid
events_gaid_daydiff_first_last_all_g_15day	NUMBER	The number of days from the first record to the last record of all events in the industry in the past 15 days with gaid
events_gaid_daydiff_first_last_all_g_180day	NUMBER	The number of days from the first record to the last record of all events in the industry in the past 180 days with gaid
events_gaid_daydiff_first_last_all_g_30day	NUMBER	The number of days from the first record to the last record of all events in the industry in the past 30 days with gaid
events_gaid_daydiff_first_last_all_g_365day	NUMBER	The number of days from the first record to the last record of all events in the industry in the past 365 days with gaid
events_gaid_daydiff_first_last_all_g_60day	NUMBER	The number of days from the first record to the last record of all events in the industry in the past 60 days with gaid
events_gaid_daydiff_first_last_all_g_90day	NUMBER	The number of days from the first record to the last record of all events in the industry in the past 90 days with gaid
events_gaid_daydiff_first_last_disburse_g_15day_l1imbank	NUMBER	The number of days from the first record to the last record in the credit event of non-bank financial industry in the past 15 natural days with gaid
events_gaid_daydiff_first_last_disburse_g_180day_l1imbank	NUMBER	The number of days from the first record to the last record in the credit event of non-bank financial industry in the past 180 natural days with gaid
events_gaid_daydiff_first_last_disburse_g_30day_l1imbank	NUMBER	The number of days from the first record to the last record in the credit event of non-bank financial industry in the past 30 natural days with gaid
events_gaid_daydiff_first_last_disburse_g_365day_l1imbank	NUMBER	The number of days from the first record to the last record in the credit event of non-bank financial industry in the past 365 natural days with gaid
events_gaid_daydiff_first_last_disburse_g_60day_l1imbank	NUMBER	The number of days from the first record to the last record in the credit event of non-bank financial industry in the past 60 natural days with gaid
events_gaid_daydiff_first_last_disburse_g_90day_l1imbank	NUMBER	The number of days from the first record to the last record in the credit event of non-bank financial industry in the past 90 natural days with gaid
events_gaid_daydiff_first_last_idv_g_15day_l1imbank	NUMBER	The number of days from the first record to the last record in the identity authentication event of the non-bank financial industry in the past 15 natural days with gaid
events_gaid_daydiff_first_last_idv_g_180day_l1imbank	NUMBER	The number of days from the first record to the last record in the identity authentication event in the non-bank financial industry in the past 180 natural days with gaid
events_gaid_daydiff_first_last_idv_g_30day_l1imbank	NUMBER	The number of days from the first record to the last record in the identity authentication event in the non-bank financial industry in the past 30 natural days with gaid
events_gaid_daydiff_first_last_idv_g_365day_l1imbank	NUMBER	The number of days from the first record to the last record in the identity authentication event of the non-bank financial industry in the past 365 natural days with gaid
events_gaid_daydiff_first_last_idv_g_60day_l1imbank	NUMBER	The number of days from the first record to the last record in the identity authentication event in the non-bank financial industry in the past 60 natural days with gaid
events_gaid_daydiff_first_last_idv_g_90day_l1imbank	NUMBER	The number of days from the first record to the last record in the identity authentication event in the non-bank financial industry in the past 90 natural days with gaid
events_gaid_daydiff_first_last_loan_g_15day_l1imbank	NUMBER	The number of days from the first record to the last record in the credit event of non-bank financial industry in the past 15 natural days with gaid
events_gaid_daydiff_first_last_loan_g_180day_l1imbank	NUMBER	The number of days from the first record to the last record in the credit event of non-bank financial industry in the past 180 natural days with gaid
events_gaid_daydiff_first_last_loan_g_30day_l1imbank	NUMBER	The number of days from the first record to the last record in the credit event of non-bank financial industry in the past 30 natural days with gaid
events_gaid_daydiff_first_last_loan_g_365day_l1imbank	NUMBER	The number of days from the first record to the last record in the credit event of non-bank financial industry in the past 365 natural days with gaid
events_gaid_daydiff_first_last_loan_g_60day_l1imbank	NUMBER	The number of days from the first record to the last record in the credit event of non-bank financial industry in the past 60 natural days with gaid
events_gaid_daydiff_first_last_loan_g_90day_l1imbank	NUMBER	The number of days from the first record to the last record in the credit event of non-bank financial industry in the past 90 natural days with gaid
events_gaid_daydiff_first_last_login_g_15day_l1imbank	NUMBER	The number of days between the first and last record of login events in the non-bank financial industry in the past 15 natural days with gaid
events_gaid_daydiff_first_last_login_g_180day_l1imbank	NUMBER	The number of days between the first and last record of login events in the non-bank financial industry in the past 180 natural days with gaid
events_gaid_daydiff_first_last_login_g_30day_l1imbank	NUMBER	The number of days between the first and last record of login events in the non-bank financial industry in the past 30 natural days with gaid
events_gaid_daydiff_first_last_login_g_365day_l1imbank	NUMBER	The number of days from the first record to the last record in the non-bank financial industry login event in the past 365 natural days with gaid
events_gaid_daydiff_first_last_login_g_60day_l1imbank	NUMBER	The number of days between the first and last record of login events in the non-bank financial industry in the past 60 natural days with gaid
events_gaid_daydiff_first_last_login_g_90day_l1imbank	NUMBER	The number of days from the first record to the last record in the non-bank financial industry login event in the past 90 natural days with gaid
events_gaid_daydiff_first_loan_g_15day	NUMBER	The number of days from the first record of credit events in all industries associated with gaid within 15 natural days to the current day
events_gaid_daydiff_first_loan_g_180day	NUMBER	The number of days from the first record of credit events in all industries associated with gaid within 180 natural days to the current day
events_gaid_daydiff_first_loan_g_30day	NUMBER	The number of days from the first record of credit events in all industries associated with gaid within 30 natural days to the current record
events_gaid_daydiff_first_loan_g_365day	NUMBER	The number of days from the first record of credit events in all industries associated with gaid within 365 natural days to the current day
events_gaid_daydiff_first_loan_g_60day	NUMBER	The number of days from the first record of credit events in all industries within 60 natural days to the current record.
events_gaid_daydiff_first_loan_g_90day	NUMBER	The number of days from the first record of credit events in all industries associated with gaid within 90 natural days to the current record
events_gaid_daydiff_first_login_g_15day	NUMBER	The number of days from the current time to the first record of login events in all industries in the past 15 natural days with gaid
events_gaid_daydiff_first_login_g_180day	NUMBER	The number of days from the first record of login events in all industries in the past 180 natural days to the current time with gaid
events_gaid_daydiff_first_login_g_30day	NUMBER	The number of days from the first record of login events in all industries in the past 30 natural days to the current time with gaid
events_gaid_daydiff_first_login_g_365day	NUMBER	The number of days from the first record of login events in all industries in the past 365 natural days to the current time with gaid
events_gaid_daydiff_first_login_g_60day	NUMBER	The number of days from the current time to the first record of login events in all industries in the past 60 natural days with gaid
events_gaid_daydiff_first_login_g_90day	NUMBER	The number of days from the current time to the first record of login events in all industries in the past 90 natural days with gaid
events_gaid_daydiff_idv_g_15day_l1imbank_max	NUMBER	The maximum recording interval (days) of identity authentication events in the non-bank financial industry in the past 15 natural days with gaid
events_gaid_daydiff_idv_g_15day_l1imbank_min	NUMBER	gaidMinimum record interval (days) of identity authentication events in the non-bank financial industry in the past 15 natural days
events_gaid_daydiff_idv_g_180day_l1imbank_max	NUMBER	The maximum recording interval (days) of identity authentication events in the non-bank financial industry in the past 180 natural days with gaid
events_gaid_daydiff_idv_g_180day_l1imbank_min	NUMBER	gaidMinimum record interval (days) of identity authentication events in the non-bank financial industry in the past 180 natural days
events_gaid_daydiff_idv_g_30day_l1imbank_max	NUMBER	The maximum recording interval (days) of identity authentication events in the non-bank financial industry in the past 30 natural days with gaid
events_gaid_daydiff_idv_g_30day_l1imbank_min	NUMBER	gaidMinimum record interval (days) of identity authentication events in the non-bank financial industry in the past 30 natural days
events_gaid_daydiff_idv_g_365day_l1imbank_max	NUMBER	The maximum recording interval (days) of identity authentication events in the non-bank financial industry in the past 365 natural days with gaid
events_gaid_daydiff_idv_g_365day_l1imbank_min	NUMBER	gaidMinimum record interval (days) of identity authentication events in the non-bank financial industry in the past 365 natural days
events_gaid_daydiff_idv_g_60day_l1imbank_max	NUMBER	The maximum recording interval (days) of identity authentication events in the non-bank financial industry in the past 60 natural days with gaid
events_gaid_daydiff_idv_g_60day_l1imbank_min	NUMBER	gaidMinimum record interval (days) of identity authentication events in the non-bank financial industry in the past 60 natural days
events_gaid_daydiff_idv_g_90day_l1imbank_max	NUMBER	The maximum recording interval (days) of identity authentication events in the non-bank financial industry in the past 90 natural days with gaid
events_gaid_daydiff_idv_g_90day_l1imbank_min	NUMBER	gaidMinimum record interval (days) of identity authentication events in the non-bank financial industry in the past 90 natural days
events_gaid_daydiff_last_all_g_15day_l1imbank	NUMBER	The number of days from the last record of all events in the non-bank financial industry in the past 15 natural days to the current day with gaid
events_gaid_daydiff_last_all_g_180day_l1imbank	NUMBER	The number of days from the last record of all events in the non-bank financial industry in the past 180 natural days to the current day with gaid
events_gaid_daydiff_last_all_g_30day_l1imbank	NUMBER	The number of days from the last record of all events in the non-bank financial industry in the past 30 natural days to the current day with gaid
events_gaid_daydiff_last_all_g_365day_l1imbank	NUMBER	The number of days from the last record of all events in the non-bank financial industry in the past 365 natural days to the current day with gaid
events_gaid_daydiff_last_all_g_60day_l1imbank	NUMBER	The number of days from the last record of all events in the non-bank financial industry in the past 60 natural days to the current day with gaid
events_gaid_daydiff_last_all_g_90day_l1imbank	NUMBER	The number of days from the last record of all events in the non-bank financial industry in the past 90 natural days to the current day with gaid
events_gaid_daydiff_loan_g_15day_l1imbank_max	NUMBER	The maximum record interval (days) of credit events in the non-bank financial industry in the past 15 natural days with gaid
events_gaid_daydiff_loan_g_15day_l1imbank_min	NUMBER	The minimum record interval (days) of credit events in the non-bank financial industry in the past 15 natural days with gaid
events_gaid_daydiff_loan_g_180day_l1imbank_max	NUMBER	The maximum record interval (days) of credit events in the non-bank financial industry in the past 180 natural days with gaid
events_gaid_daydiff_loan_g_180day_l1imbank_min	NUMBER	The minimum record interval (days) of credit events in the non-bank financial industry in the past 180 natural days with gaid
events_gaid_daydiff_loan_g_30day_l1imbank_max	NUMBER	The maximum record interval (days) of credit events in the non-bank financial industry in the past 30 natural days with gaid
events_gaid_daydiff_loan_g_30day_l1imbank_min	NUMBER	The minimum record interval (days) of credit events in the non-bank financial industry in the past 30 natural days with gaid
events_gaid_daydiff_loan_g_365day_l1imbank_max	NUMBER	The maximum record interval (days) of credit events in the non-bank financial industry in the past 365 natural days with gaid
events_gaid_daydiff_loan_g_365day_l1imbank_min	NUMBER	The minimum record interval of credit events in the non-bank financial industry in the past 365 natural days (days) with gaid
events_gaid_daydiff_loan_g_60day_l1imbank_max	NUMBER	The maximum record interval of credit events in the non-bank financial industry in the past 60 natural days (days) with gaid
events_gaid_daydiff_loan_g_60day_l1imbank_min	NUMBER	The minimum record interval (days) of credit events in the non-bank financial industry in the past 60 natural days with gaid
events_gaid_daydiff_loan_g_90day_l1imbank_max	NUMBER	The maximum record interval (days) of credit events in the non-bank financial industry in the past 90 natural days with gaid
events_gaid_daydiff_loan_g_90day_l1imbank_min	NUMBER	The minimum record interval (days) of credit events in the non-bank financial industry in the past 90 natural days with gaid
events_gaid_daydiff_login_g_15day_l1imbank_max	NUMBER	The maximum record interval (days) of login events in the non-bank financial industry in the past 15 natural days with gaid
events_gaid_daydiff_login_g_15day_l1imbank_min	NUMBER	The minimum record interval (days) of login events in the non-bank financial industry in the past 15 natural days with gaid
events_gaid_daydiff_login_g_180day_l1imbank_max	NUMBER	The maximum record interval (days) of login events in the non-bank financial industry in the past 180 natural days with gaid
events_gaid_daydiff_login_g_180day_l1imbank_min	NUMBER	The minimum record interval (days) of login events in the non-bank financial industry in the past 180 natural days with gaid
events_gaid_daydiff_login_g_30day_l1imbank_max	NUMBER	The maximum record interval of login events in the non-bank financial industry in the past 30 natural days (days) with gaid
events_gaid_daydiff_login_g_30day_l1imbank_min	NUMBER	The minimum record interval (days) of login events in the non-bank financial industry in the past 30 natural days with gaid
events_gaid_daydiff_login_g_365day_l1imbank_max	NUMBER	The maximum record interval of login events in the non-bank financial industry in the past 365 natural days (days) with gaid
events_gaid_daydiff_login_g_365day_l1imbank_min	NUMBER	The minimum record interval of login events in the non-bank financial industry in the past 365 natural days (days) with gaid
events_gaid_daydiff_login_g_60day_l1imbank_max	NUMBER	The maximum record interval of login events in the non-bank financial industry in the past 60 natural days (days) with gaid
events_gaid_daydiff_login_g_60day_l1imbank_min	NUMBER	The minimum record interval of login events in the non-bank financial industry in the past 60 natural days (days) with gaid
events_gaid_daydiff_login_g_90day_l1imbank_max	NUMBER	The maximum record interval of login events in the non-bank financial industry in the past 90 natural days (days) with gaid
events_gaid_daydiff_login_g_90day_l1imbank_min	NUMBER	The minimum record interval of login events in the non-bank financial industry in the past 90 natural days (days) with gaid
events_gaid_disburse_g_15day_avg	NUMBER	The average number of records per day in all industries in the credit incidents in the past 15 natural days
events_gaid_disburse_g_15day_count	NUMBER	The number of records of credit incidents in the industry in the past 15 natural days with gaid
events_gaid_disburse_g_15day_daytime_count	NUMBER	The number of credit incidents in the industry that occurred during the day in the past 15 natural days with gaid
events_gaid_disburse_g_15day_daytime_ratio	NUMBER	The proportion of credit incidents in all industries that occurred during the day in the past 15 natural days
events_gaid_disburse_g_15day_l1imbank_count	NUMBER	The number of records of credit incidents in the non-bank financial industry in the past 15 natural days with gaid
events_gaid_disburse_g_15day_l1imbank_daytime_count	NUMBER	The number of credit incidents in the non-bank financial industry that occurred during the day in the past 15 natural days with gaid
events_gaid_disburse_g_15day_l1imbank_weekend_count	NUMBER	The number of non-bank financial industry credit incidents that occurred on weekends in the past 15 natural days with gaid
events_gaid_disburse_g_15day_l1imbank_workday_count	NUMBER	The number of credit incidents in the non-bank financial industry that occurred on working days in the past 15 natural days with gaid
events_gaid_disburse_g_15day_workday_count	NUMBER	The number of credit incidents in the industry that occurred on working days in the past 15 natural days with gaid
events_gaid_disburse_g_15day_workday_ratio	NUMBER	The proportion of credit incidents in all industries that occurred on working days in the past 15 natural days with gaid
events_gaid_disburse_g_180day_avg	NUMBER	The average number of records per day in all industries in the credit incidents in the past 180 natural days
events_gaid_disburse_g_180day_count	NUMBER	The number of records of credit incidents in the industry in the past 180 natural days with gaid
events_gaid_disburse_g_180day_daytime_count	NUMBER	The number of credit incidents in the industry that occurred during the day in the past 180 natural days with gaid
events_gaid_disburse_g_180day_daytime_ratio	NUMBER	The proportion of credit incidents in all industries that occurred during the day in the past 180 natural days
events_gaid_disburse_g_180day_l1imbank_count	NUMBER	The number of records of credit incidents in the non-bank financial industry in the past 180 natural days with gaid
events_gaid_disburse_g_180day_l1imbank_daytime_count	NUMBER	The number of credit incidents in the non-bank financial industry that occurred during the day in the past 180 natural days with gaid
events_gaid_disburse_g_180day_l1imbank_weekend_count	NUMBER	The number of non-bank financial industry credit incidents that occurred on weekends in the past 180 natural days with gaid
events_gaid_disburse_g_180day_l1imbank_workday_count	NUMBER	The number of credit incidents in the non-bank financial industry that occurred on working days in the past 180 natural days with gaid
events_gaid_disburse_g_180day_workday_count	NUMBER	The number of credit incidents in the industry that occurred on working days in the past 180 natural days with gaid
events_gaid_disburse_g_180day_workday_ratio	NUMBER	The proportion of credit incidents in all industries that occurred on working days in the past 180 natural days with gaid
events_gaid_disburse_g_30day_avg	NUMBER	The average number of records per day in all industries in the credit incidents in the past 30 natural days
events_gaid_disburse_g_30day_count	NUMBER	The number of records of credit incidents in the industry in the past 30 natural days with gaid
events_gaid_disburse_g_30day_daytime_count	NUMBER	The number of credit incidents in the industry that occurred during the day in the past 30 natural days with gaid
events_gaid_disburse_g_30day_daytime_ratio	NUMBER	The proportion of credit incidents in all industries that occurred during the day in the past 30 natural days
events_gaid_disburse_g_30day_l1imbank_count	NUMBER	The number of records of credit incidents in the non-bank financial industry in the past 30 natural days with gaid
events_gaid_disburse_g_30day_l1imbank_daytime_count	NUMBER	The number of credit incidents in the non-bank financial industry that occurred during the day in the past 30 natural days with gaid
events_gaid_disburse_g_30day_l1imbank_weekend_count	NUMBER	The number of non-bank financial industry credit incidents that occurred on weekends in the past 30 natural days with gaid
events_gaid_disburse_g_30day_l1imbank_workday_count	NUMBER	The number of credit incidents in the non-bank financial industry that occurred on working days in the past 30 natural days with gaid
events_gaid_disburse_g_30day_workday_count	NUMBER	The number of credit incidents in the industry that occurred on working days in the past 30 natural days with gaid
events_gaid_disburse_g_30day_workday_ratio	NUMBER	The proportion of credit incidents in all industries that occurred on working days in the past 30 natural days with gaid
events_gaid_disburse_g_365day_avg	NUMBER	The average number of records per day in all industries in the credit incidents in the past 365 natural days
events_gaid_disburse_g_365day_count	NUMBER	The number of records of credit incidents in the industry in the past 365 natural days with gaid
events_gaid_disburse_g_365day_daytime_count	NUMBER	The number of credit incidents in the industry that occurred during the day in the past 365 natural days with gaid
events_gaid_disburse_g_365day_daytime_ratio	NUMBER	The proportion of credit incidents in all industries that occurred during the day in the past 365 natural days
events_gaid_disburse_g_365day_l1imbank_count	NUMBER	The number of records of credit incidents in the non-bank financial industry in the past 365 natural days with gaid
events_gaid_disburse_g_365day_l1imbank_daytime_count	NUMBER	The number of credit incidents in the non-bank financial industry that occurred during the day in the past 365 natural days with gaid
events_gaid_disburse_g_365day_l1imbank_weekend_count	NUMBER	The number of non-bank financial industry credit incidents that occurred on weekends in the past 365 natural days with gaid
events_gaid_disburse_g_365day_l1imbank_workday_count	NUMBER	The number of credit incidents in the non-bank financial industry that occurred on working days in the past 365 natural days with gaid
events_gaid_disburse_g_365day_workday_count	NUMBER	The number of credit incidents in the industry that occurred on working days in the past 365 natural days with gaid
events_gaid_disburse_g_365day_workday_ratio	NUMBER	The proportion of credit incidents in all industries that occurred on working days in the past 365 natural days with gaid
events_gaid_disburse_g_60day_avg	NUMBER	The average number of records per day in all industries in the credit incidents in the past 60 natural days
events_gaid_disburse_g_60day_count	NUMBER	The number of records of credit incidents in the industry in the past 60 natural days with gaid
events_gaid_disburse_g_60day_daytime_count	NUMBER	The number of credit incidents in the industry that occurred during the day in the past 60 natural days with gaid
events_gaid_disburse_g_60day_daytime_ratio	NUMBER	The proportion of credit incidents in all industries that occurred during the day in the past 60 natural days
events_gaid_disburse_g_60day_l1imbank_count	NUMBER	The number of records of credit incidents in the non-bank financial industry in the past 60 natural days with gaid
events_gaid_disburse_g_60day_l1imbank_daytime_count	NUMBER	The number of credit incidents in the non-bank financial industry that occurred during the day in the past 60 natural days with gaid
events_gaid_disburse_g_60day_l1imbank_weekend_count	NUMBER	The number of non-bank financial industry credit incidents that occurred on weekends in the past 60 natural days with gaid
events_gaid_disburse_g_60day_l1imbank_workday_count	NUMBER	The number of credit incidents in the non-bank financial industry that occurred on working days in the past 60 natural days with gaid
events_gaid_disburse_g_60day_workday_count	NUMBER	The number of credit incidents in the industry that occurred on working days in the past 60 natural days with gaid
events_gaid_disburse_g_60day_workday_ratio	NUMBER	The proportion of credit incidents in all industries that occurred on working days in the past 60 natural days with gaid
events_gaid_disburse_g_90day_avg	NUMBER	The average number of records per day in all industries in the credit incidents in the past 90 natural days
events_gaid_disburse_g_90day_count	NUMBER	The number of records of credit incidents in the industry in the past 90 natural days with gaid
events_gaid_disburse_g_90day_daytime_count	NUMBER	The number of credit incidents in the industry that occurred during the day in the past 90 natural days with gaid
events_gaid_disburse_g_90day_daytime_ratio	NUMBER	The proportion of credit incidents in all industries that occurred during the day in the past 90 natural days
events_gaid_disburse_g_90day_l1imbank_count	NUMBER	The number of records of credit incidents in the non-bank financial industry in the past 90 natural days with gaid
events_gaid_disburse_g_90day_l1imbank_daytime_count	NUMBER	The number of credit incidents in the non-bank financial industry that occurred during the day in the past 90 natural days with gaid
events_gaid_disburse_g_90day_l1imbank_weekend_count	NUMBER	The number of non-bank financial industry credit incidents that occurred on weekends in the past 90 natural days with gaid
events_gaid_disburse_g_90day_l1imbank_workday_count	NUMBER	The number of credit incidents in the non-bank financial industry that occurred on working days in the past 90 natural days with gaid
events_gaid_disburse_g_90day_workday_count	NUMBER	The number of credit incidents in the industry that occurred on working days in the past 90 natural days with gaid
events_gaid_disburse_g_90day_workday_ratio	NUMBER	The proportion of credit incidents in all industries that occurred on working days in the past 90 natural days with gaid
events_gaid_ds_all_g_15day_d_count	NUMBER	The different days of all events in all industries within 15 natural days associated with gaid
events_gaid_ds_all_g_180day_d_count	NUMBER	The different days of all events in all industries within 180 natural days associated with gaid
events_gaid_ds_all_g_30day_d_count	NUMBER	The different days of all events in all industries within 30 natural days associated with gaid
events_gaid_ds_all_g_365day_d_count	NUMBER	The different days of all events in all industries within 365 natural days associated with gaid
events_gaid_ds_all_g_60day_d_count	NUMBER	The different days of all events in all industries within 60 natural days associated with gaid
events_gaid_ds_all_g_90day_d_count	NUMBER	The different days of all events in all industries within 90 natural days associated with gaid
events_gaid_ds_disburse_g_15day_d_count	NUMBER	The different days of credit events in all industries within 15 natural days associated with gaid
events_gaid_ds_disburse_g_180day_d_count	NUMBER	The different days of credit events in all industries within 180 natural days associated with gaid
events_gaid_ds_disburse_g_30day_d_count	NUMBER	The different days of credit events in all industries within 30 natural days associated with gaid
events_gaid_ds_disburse_g_365day_d_count	NUMBER	The different days of credit events in all industries within 365 natural days associated with gaid
events_gaid_ds_disburse_g_60day_d_count	NUMBER	The different days of credit events in all industries within 60 natural days associated with gaid
events_gaid_ds_disburse_g_90day_d_count	NUMBER	The different days of credit events in all industries within 90 natural days associated with gaid
events_gaid_ds_idv_g_15day_d_count	NUMBER	The different days of identity authentication events in all industries within 15 natural days associated with gaid
events_gaid_ds_idv_g_180day_d_count	NUMBER	The different days of identity authentication events in all industries within 180 natural days associated with gaid
events_gaid_ds_idv_g_30day_d_count	NUMBER	The different days of identity authentication events in all industries within 30 natural days associated with gaid
events_gaid_ds_idv_g_365day_d_count	NUMBER	The different days of identity authentication events in all industries within 365 natural days associated with gaid
events_gaid_ds_idv_g_60day_d_count	NUMBER	The different days of identity authentication events in all industries within 60 natural days associated with gaid
events_gaid_ds_idv_g_90day_d_count	NUMBER	The different days of identity authentication events in all industries within 90 natural days associated with gaid
events_gaid_ds_loan_g_15day_d_count	NUMBER	The different days of credit events in all industries within 15 natural days associated with gaid
events_gaid_ds_loan_g_180day_d_count	NUMBER	The different days of credit events in all industries within 180 natural days associated with gaid
events_gaid_ds_loan_g_30day_d_count	NUMBER	The different days of credit events in all industries within 30 natural days associated with gaid
events_gaid_ds_loan_g_365day_d_count	NUMBER	The different days of credit events in all industries within 365 natural days associated with gaid
events_gaid_ds_loan_g_60day_d_count	NUMBER	The different days of credit events in all industries within 60 natural days associated with gaid
events_gaid_ds_loan_g_90day_d_count	NUMBER	The different days of credit events in all industries within 90 natural days associated with gaid
events_gaid_ds_login_g_15day_d_count	NUMBER	The different days of login events in all industries within 15 natural days associated with gaid
events_gaid_ds_login_g_180day_d_count	NUMBER	The different days of login events in all industries within 180 natural days associated with gaid
events_gaid_ds_login_g_30day_d_count	NUMBER	The different days of login events in all industries within 30 natural days associated with gaid
events_gaid_ds_login_g_365day_d_count	NUMBER	The different days of login events in all industries within 365 natural days associated with gaid
events_gaid_ds_login_g_60day_d_count	NUMBER	The different days of login events in all industries within 60 natural days associated with gaid
events_gaid_ds_login_g_90day_d_count	NUMBER	The different days of login events in all industries within 90 natural days associated with gaid
events_gaid_finalscore_all_g_15day_max	NUMBER	The maximum value of the risk score in the past 15 natural days
events_gaid_finalscore_all_g_180day_max	NUMBER	The maximum value of risk score in the past 180 natural days
events_gaid_finalscore_all_g_30day_max	NUMBER	The maximum value of risk score in the past 30 natural days
events_gaid_finalscore_all_g_365day_max	NUMBER	The maximum value of risk score in the past 365 natural days
events_gaid_finalscore_all_g_60day_max	NUMBER	The maximum value of risk score in the past 60 natural days
events_gaid_finalscore_all_g_90day_max	NUMBER	The maximum value of risk score in the past 90 natural days
events_gaid_i_all_g_15day_d_count	NUMBER	The number of different ID numbers in all industries and all events within 15 natural days associated with gaid
events_gaid_i_all_g_180day_d_count	NUMBER	The number of different ID numbers in all industries and all events within 180 natural days associated with gaid
events_gaid_i_all_g_30day_d_count	NUMBER	The number of different ID numbers in all industries and all events within 30 natural days associated with gaid
events_gaid_i_all_g_365day_d_count	NUMBER	The number of different ID numbers in all industries and all events within 365 natural days associated with gaid
events_gaid_i_all_g_60day_d_count	NUMBER	The number of different ID numbers in all industries and all events within 60 natural days associated with gaid
events_gaid_i_all_g_90day_d_count	NUMBER	The number of different ID numbers in all industries and all events within 90 natural days associated with gaid
events_gaid_idv_g_15day_avg	NUMBER	The average number of daily records in identity authentication events in all industries in the past 15 natural days with gaid
events_gaid_idv_g_15day_count	NUMBER	The number of records of identity authentication events in the industry in the past 15 natural days with gaid
events_gaid_idv_g_15day_daytime_count	NUMBER	The number of identity authentication events in the industry that occurred during the day in the past 15 natural days with gaid
events_gaid_idv_g_15day_daytime_ratio	NUMBER	The proportion of identity authentication events in all industries that occurred during the day in the past 15 natural days with gaid
events_gaid_idv_g_15day_l1imbank_count	NUMBER	The number of records in identity authentication events in the non-bank financial industry in the past 15 natural days with gaid
events_gaid_idv_g_15day_l1imbank_daytime_count	NUMBER	The number of identity authentication events in the non-bank financial industry that occurred during the day in the past 15 natural days with gaid
events_gaid_idv_g_15day_l1imbank_weekend_count	NUMBER	The number of identity authentication events in the non-bank financial industry that occurred on weekends in the past 15 natural days with gaid
events_gaid_idv_g_15day_l1imbank_workday_count	NUMBER	The number of identity authentication events in the non-bank financial industry that occurred on working days in the past 15 natural days with gaid
events_gaid_idv_g_15day_workday_count	NUMBER	The number of identity authentication events in the industry that occurred on working days in the past 15 natural days with gaid
events_gaid_idv_g_15day_workday_ratio	NUMBER	The proportion of identity authentication events in all industries that occurred on weekdays in the past 15 natural days with gaid
events_gaid_idv_g_180day_avg	NUMBER	The average number of daily records in identity authentication events in all industries in the past 180 natural days with gaid
events_gaid_idv_g_180day_count	NUMBER	The number of records of identity authentication events in the industry in the past 180 natural days with gaid
events_gaid_idv_g_180day_daytime_count	NUMBER	The number of identity authentication events that occurred during the day in the industry in the past 180 natural days with gaid
events_gaid_idv_g_180day_daytime_ratio	NUMBER	The proportion of identity authentication events in all industries that occurred during the day in the past 180 natural days with gaid
events_gaid_idv_g_180day_l1imbank_count	NUMBER	The number of records in identity authentication events in the non-bank financial industry in the past 180 natural days with gaid
events_gaid_idv_g_180day_l1imbank_daytime_count	NUMBER	The number of identity authentication events in the non-bank financial industry that occurred during the day in the past 180 natural days with gaid
events_gaid_idv_g_180day_l1imbank_weekend_count	NUMBER	The number of identity authentication events in the non-bank financial industry that occurred on weekends in the past 180 natural days with gaid
events_gaid_idv_g_180day_l1imbank_workday_count	NUMBER	The number of identity authentication events in the non-bank financial industry that occurred on working days in the past 180 natural days with gaid
events_gaid_idv_g_180day_workday_count	NUMBER	The number of identity authentication events that occurred on working days in the industry in the past 180 natural days with gaid
events_gaid_idv_g_180day_workday_ratio	NUMBER	The proportion of identity authentication events in all industries that occurred on weekdays in the past 180 natural days with gaid
events_gaid_idv_g_30day_avg	NUMBER	The average number of daily records in identity authentication events in all industries in the past 30 natural days with gaid
events_gaid_idv_g_30day_count	NUMBER	The number of records of identity authentication events in the industry in the past 30 natural days with gaid
events_gaid_idv_g_30day_daytime_count	NUMBER	The number of identity authentication events in the industry that occurred during the day in the past 30 natural days with gaid
events_gaid_idv_g_30day_daytime_ratio	NUMBER	The proportion of identity authentication events in all industries that occurred during the day in the past 30 natural days with gaid
events_gaid_idv_g_30day_l1imbank_count	NUMBER	The number of records in identity authentication events in the non-bank financial industry in the past 30 natural days with gaid
events_gaid_idv_g_30day_l1imbank_daytime_count	NUMBER	The number of identity authentication events in the non-bank financial industry that occurred during the day in the past 30 natural days with gaid
events_gaid_idv_g_30day_l1imbank_weekend_count	NUMBER	The number of identity authentication events in the non-bank financial industry that occurred on weekends in the past 30 natural days with gaid
events_gaid_idv_g_30day_l1imbank_workday_count	NUMBER	The number of identity authentication events in the non-bank financial industry that occurred on working days in the past 30 natural days with gaid
events_gaid_idv_g_30day_workday_count	NUMBER	The number of identity authentication events in the industry that occurred on working days in the past 30 natural days with gaid
events_gaid_idv_g_30day_workday_ratio	NUMBER	The proportion of identity authentication events in all industries that occurred on weekdays in the past 30 natural days with gaid
events_gaid_idv_g_365day_avg	NUMBER	The average number of daily records in identity authentication events in all industries in the past 365 natural days with gaid
events_gaid_idv_g_365day_count	NUMBER	The number of records of identity authentication events in the industry in the past 365 natural days with gaid
events_gaid_idv_g_365day_daytime_count	NUMBER	The number of identity authentication events that occurred during the day in the industry in the past 365 natural days with gaid
events_gaid_idv_g_365day_daytime_ratio	NUMBER	The proportion of identity authentication events in all industries that occurred during the day in the past 365 natural days with gaid
events_gaid_idv_g_365day_l1imbank_count	NUMBER	The number of records in identity authentication events in the non-bank financial industry in the past 365 natural days with gaid
events_gaid_idv_g_365day_l1imbank_daytime_count	NUMBER	The number of identity authentication events in the non-bank financial industry that occurred during the day in the past 365 natural days with gaid
events_gaid_idv_g_365day_l1imbank_weekend_count	NUMBER	The number of identity authentication events in the non-bank financial industry that occurred on weekends in the past 365 natural days with gaid
events_gaid_idv_g_365day_l1imbank_workday_count	NUMBER	The number of identity authentication events in the non-bank financial industry that occurred on working days in the past 365 natural days with gaid
events_gaid_idv_g_365day_workday_count	NUMBER	The number of identity authentication events in the industry that occurred on working days in the past 365 natural days with gaid
events_gaid_idv_g_365day_workday_ratio	NUMBER	The proportion of identity authentication events in all industries that occurred on weekdays in the past 365 natural days with gaid
events_gaid_idv_g_60day_avg	NUMBER	The average number of daily records in identity authentication events in all industries in the past 60 natural days with gaid
events_gaid_idv_g_60day_count	NUMBER	The number of records of identity authentication events in the industry in the past 60 natural days with gaid
events_gaid_idv_g_60day_daytime_count	NUMBER	The number of identity authentication events that occurred during the day in the industry in the past 60 natural days with gaid
events_gaid_idv_g_60day_daytime_ratio	NUMBER	The proportion of identity authentication events in all industries that occurred during the day in the past 60 natural days with gaid
events_gaid_idv_g_60day_l1imbank_count	NUMBER	The number of records in identity authentication events in the non-bank financial industry in the past 60 natural days with gaid
events_gaid_idv_g_60day_l1imbank_daytime_count	NUMBER	The number of identity authentication events in the non-bank financial industry that occurred during the day in the past 60 natural days with gaid
events_gaid_idv_g_60day_l1imbank_weekend_count	NUMBER	The number of identity authentication events in the non-bank financial industry that occurred on weekends in the past 60 natural days with gaid
events_gaid_idv_g_60day_l1imbank_workday_count	NUMBER	The number of identity authentication events in the non-bank financial industry that occurred on working days in the past 60 natural days with gaid
events_gaid_idv_g_60day_workday_count	NUMBER	The number of identity authentication events in the industry that occurred on working days in the past 60 natural days with gaid
events_gaid_idv_g_60day_workday_ratio	NUMBER	The proportion of identity authentication events in all industries that occurred on weekdays in the past 60 natural days with gaid
events_gaid_idv_g_90day_avg	NUMBER	The average number of daily records in identity authentication events in all industries in the past 90 natural days with gaid
events_gaid_idv_g_90day_count	NUMBER	The number of records of identity authentication events in the industry in the past 90 natural days with gaid
events_gaid_idv_g_90day_daytime_count	NUMBER	The number of identity authentication events that occurred during the day in the industry in the past 90 natural days with gaid
events_gaid_idv_g_90day_daytime_ratio	NUMBER	The proportion of identity authentication events in all industries that occurred during the day in the past 90 natural days with gaid
events_gaid_idv_g_90day_l1imbank_count	NUMBER	The number of records in identity authentication events in the non-bank financial industry in the past 90 natural days with gaid
events_gaid_idv_g_90day_l1imbank_daytime_count	NUMBER	The number of identity authentication events in the non-bank financial industry that occurred during the day in the past 90 natural days with gaid
events_gaid_idv_g_90day_l1imbank_weekend_count	NUMBER	The number of identity authentication events in the non-bank financial industry that occurred on weekends in the past 90 natural days with gaid
events_gaid_idv_g_90day_l1imbank_workday_count	NUMBER	The number of identity authentication events in the non-bank financial industry that occurred on working days in the past 90 natural days with gaid
events_gaid_idv_g_90day_workday_count	NUMBER	The number of identity authentication events that occurred on working days in the industry in the past 90 natural days with gaid
events_gaid_idv_g_90day_workday_ratio	NUMBER	The proportion of identity authentication events in all industries that occurred on weekdays in the past 90 natural days with gaid
events_gaid_incr180_i_all_g_365day_d_count	NUMBER	The number of new IDs in the last 180 natural days compared with 180-365 natural days under all industries and all events related to gaid within 365 natural days
events_gaid_incr180_m_all_g_365day_d_count	NUMBER	The number of new additions of different mobile phone numbers in the last 180 natural days compared with 180-365 natural days under all industries and all events related to gaid within 365 natural days
events_gaid_incr60_i_all_g_180day_d_count	NUMBER	The number of new ID cards in the industry and all events within 180 natural days related to gaid, compared with the number of new ID cards in the last 60 natural days between 60 and 180 natural days
events_gaid_incr60_i_all_g_365day_d_count	NUMBER	The number of new additions of different ID cards in the last 60 natural days compared with 60-365 natural days under all industries and all events within 365 natural days associated with gaid
events_gaid_incr60_m_all_g_180day_d_count	NUMBER	The number of new additions of different mobile phone numbers in the past 60 natural days compared with 60-180 natural days under all events in all industries within 180 natural days associated with gaid
events_gaid_incr60_m_all_g_365day_d_count	NUMBER	The number of new additions of different mobile phone numbers in the last 60 natural days compared with 60-365 natural days under all industries and all events related to gaid within 365 natural days
events_gaid_incr90_i_all_g_180day_d_count	NUMBER	The number of new ID cards in the industry and all events within 180 natural days related to gaid within the last 90 natural days compared with the number of new ID cards in the last 90 natural days between 90 and 180 natural days
events_gaid_incr90_i_all_g_365day_d_count	NUMBER	The number of new IDs in the last 90 natural days compared with the number of new IDs in the last 90 natural days for all events in all industries within 365 natural days associated with gaid.
events_gaid_incr90_m_all_g_180day_d_count	NUMBER	The number of new additions of different mobile phone numbers in the last 90 natural days compared with 90-180 natural days under all events in all industries within 180 natural days associated with gaid
events_gaid_incr90_m_all_g_365day_d_count	NUMBER	The number of new additions of different mobile phone numbers in the last 90 natural days compared with 90-365 natural days under all industries and all events within the 365 natural days associated with gaid
events_gaid_last_contdds_disburse_g_15day_l1imbank_count	NUMBER	The number of recent consecutive records of credit events in the non-bank financial industry within 15 natural numbers associated with gaid
events_gaid_last_contdds_disburse_g_180day_l1imbank_count	NUMBER	The number of recent consecutive records of credit events in the non-bank financial industry within 180 natural numbers associated with gaid
events_gaid_last_contdds_disburse_g_30day_l1imbank_count	NUMBER	The number of recent consecutive records of credit events in the non-bank financial industry within 30 natural numbers associated with gaid
events_gaid_last_contdds_disburse_g_365day_l1imbank_count	NUMBER	The number of recent consecutive records of credit events in the non-bank financial industry within 365 natural numbers associated with gaid
events_gaid_last_contdds_disburse_g_60day_l1imbank_count	NUMBER	The number of recent consecutive records of credit events in the non-bank financial industry within 60 natural numbers associated with gaid
events_gaid_last_contdds_disburse_g_90day_l1imbank_count	NUMBER	The number of recent consecutive records of credit events in the non-bank financial industry within 90 natural numbers associated with gaid
events_gaid_last_contdds_ds_disburse_g_15day_l1imbank	NUMBER	The number of consecutive days of the latest credit record in the non-bank financial industry within 15 natural days associated with gaid
events_gaid_last_contdds_ds_disburse_g_180day_l1imbank	NUMBER	The number of consecutive days of the latest credit record in the non-bank financial industry within 180 natural days associated with gaid
events_gaid_last_contdds_ds_disburse_g_30day_l1imbank	NUMBER	The number of consecutive days of the latest credit record in the non-bank financial industry within 30 natural days associated with gaid
events_gaid_last_contdds_ds_disburse_g_365day_l1imbank	NUMBER	The number of days of the latest continuous record of credit events in the non-bank financial industry within 365 natural days associated with gaid
events_gaid_last_contdds_ds_disburse_g_60day_l1imbank	NUMBER	The number of consecutive days of the latest credit record in the non-bank financial industry within 60 natural days associated with gaid
events_gaid_last_contdds_ds_disburse_g_90day_l1imbank	NUMBER	The number of consecutive days of the latest credit record in the non-bank financial industry within 90 natural days associated with gaid
events_gaid_last_contdds_ds_idv_g_15day_l1imbank	NUMBER	The number of consecutive days of the most recent identity authentication events in the non-bank financial industry associated with gaid within 15 natural days
events_gaid_last_contdds_ds_idv_g_180day_l1imbank	NUMBER	The number of consecutive days of the most recent identity authentication events in the non-bank financial industry within 180 natural days associated with gaid
events_gaid_last_contdds_ds_idv_g_30day_l1imbank	NUMBER	The number of consecutive days of the most recent identity authentication events in the non-bank financial industry associated with gaid within 30 natural days
events_gaid_last_contdds_ds_idv_g_365day_l1imbank	NUMBER	The number of consecutive days of the most recent identity authentication events in the non-bank financial industry within 365 natural days associated with gaid
events_gaid_last_contdds_ds_idv_g_60day_l1imbank	NUMBER	The number of consecutive days of the most recent identity authentication events in the non-bank financial industry within 60 natural days associated with gaid
events_gaid_last_contdds_ds_idv_g_90day_l1imbank	NUMBER	The number of consecutive days of the most recent identity authentication events in the non-bank financial industry associated with gaid within 90 natural days
events_gaid_last_contdds_ds_loan_g_15day_l1imbank	NUMBER	The number of consecutive days of the most recent credit event in the non-bank financial industry within 15 natural days associated with gaid
events_gaid_last_contdds_ds_loan_g_180day_l1imbank	NUMBER	The number of consecutive days of the most recent credit event in the non-bank financial industry within 180 natural days associated with gaid
events_gaid_last_contdds_ds_loan_g_30day_l1imbank	NUMBER	The number of consecutive days of the most recent credit event in the non-bank financial industry within 30 natural days associated with gaid
events_gaid_last_contdds_ds_loan_g_365day_l1imbank	NUMBER	The number of consecutive days of the most recent credit event in the non-bank financial industry within 365 natural days associated with gaid
events_gaid_last_contdds_ds_loan_g_60day_l1imbank	NUMBER	The number of consecutive days of the most recent credit event in the non-bank financial industry within 60 natural days associated with gaid
events_gaid_last_contdds_ds_loan_g_90day_l1imbank	NUMBER	The number of consecutive days of the most recent credit event in the non-bank financial industry within 90 natural days associated with gaid
events_gaid_last_contdds_ds_login_g_15day_l1imbank	NUMBER	The number of consecutive days of the most recent login events in the non-bank financial industry associated with gaid within 15 natural days
events_gaid_last_contdds_ds_login_g_180day_l1imbank	NUMBER	The number of consecutive days of the most recent login events in the non-bank financial industry associated with gaid within 180 natural days
events_gaid_last_contdds_ds_login_g_30day_l1imbank	NUMBER	The number of consecutive days of the most recent login events in the non-bank financial industry associated with gaid within 30 natural days
events_gaid_last_contdds_ds_login_g_365day_l1imbank	NUMBER	The number of days of the most recent continuous record of login events in the non-bank financial industry within 365 natural days associated with gaid
events_gaid_last_contdds_ds_login_g_60day_l1imbank	NUMBER	The number of consecutive days of the most recent login events in the non-bank financial industry associated with gaid within 60 natural days
events_gaid_last_contdds_ds_login_g_90day_l1imbank	NUMBER	The number of consecutive days of the most recent login events in the non-bank financial industry associated with gaid within 90 natural days
events_gaid_last_contdds_idv_g_15day_l1imbank_count	NUMBER	The number of recent consecutive records of identity authentication events in the non-bank financial industry within 15 natural numbers associated with gaid
events_gaid_last_contdds_idv_g_180day_l1imbank_count	NUMBER	The number of recent consecutive records of identity authentication events in the non-bank financial industry within 180 natural numbers associated with gaid
events_gaid_last_contdds_idv_g_30day_l1imbank_count	NUMBER	The number of recent consecutive records of identity authentication events in the non-bank financial industry within 30 natural numbers associated with gaid
events_gaid_last_contdds_idv_g_365day_l1imbank_count	NUMBER	The number of recent consecutive records of identity authentication events in the non-bank financial industry within 365 natural numbers associated with gaid
events_gaid_last_contdds_idv_g_60day_l1imbank_count	NUMBER	The number of recent consecutive records of identity authentication events in the non-bank financial industry within 60 natural numbers associated with gaid
events_gaid_last_contdds_idv_g_90day_l1imbank_count	NUMBER	The number of recent consecutive records of identity authentication events in the non-bank financial industry within 90 natural numbers associated with gaid
events_gaid_last_contdds_loan_g_15day_l1imbank_count	NUMBER	The number of recent consecutive records of credit events in the non-bank financial industry within 15 natural days associated with gaid
events_gaid_last_contdds_loan_g_180day_l1imbank_count	NUMBER	The number of recent consecutive records of credit events in the non-bank financial industry within 180 natural days associated with gaid
events_gaid_last_contdds_loan_g_30day_l1imbank_count	NUMBER	The number of recent consecutive records of credit granting events in the non-bank financial industry within 30 natural days associated with gaid
events_gaid_last_contdds_loan_g_365day_l1imbank_count	NUMBER	The number of recent consecutive records of credit events in the non-bank financial industry within 365 natural days associated with gaid
events_gaid_last_contdds_loan_g_60day_l1imbank_count	NUMBER	The number of recent consecutive records of credit events in the non-bank financial industry within 60 natural days associated with gaid
events_gaid_last_contdds_loan_g_90day_l1imbank_count	NUMBER	The number of recent consecutive records of credit events in the non-bank financial industry within 90 natural days associated with gaid
events_gaid_last_contdds_login_g_15day_l1imbank_count	NUMBER	The number of recent consecutive records of login events in the non-bank financial industry within 15 natural numbers associated with gaid
events_gaid_last_contdds_login_g_180day_l1imbank_count	NUMBER	The number of recent consecutive records of login events in the non-bank financial industry within 180 natural numbers associated with gaid
events_gaid_last_contdds_login_g_30day_l1imbank_count	NUMBER	The number of recent consecutive records of login events in the non-bank financial industry within 30 natural numbers associated with gaid
events_gaid_last_contdds_login_g_365day_l1imbank_count	NUMBER	The number of recent consecutive records of login events in the non-bank financial industry within 365 natural numbers associated with gaid
events_gaid_last_contdds_login_g_60day_l1imbank_count	NUMBER	The number of recent consecutive records of login events in the non-bank financial industry within 60 natural numbers associated with gaid
events_gaid_last_contdds_login_g_90day_l1imbank_count	NUMBER	The number of recent consecutive records of login events in the non-bank financial industry within 90 natural numbers associated with gaid
events_gaid_lastmth_partner_disburse_g_180day_d_count	NUMBER	The number of different platforms in the industry's credit incidents in the first full natural month within the 180 natural numbers associated with gaid
events_gaid_lastmth_partner_disburse_g_365day_d_count	NUMBER	The number of different platforms in the industry's credit incidents in the 365 natural numbers associated with gaid in the first full natural month
events_gaid_lastmth_partner_disburse_g_60day_d_count	NUMBER	The number of different platforms in the industry's credit incidents in the last full natural month within 60 natural numbers associated with gaid
events_gaid_lastmth_partner_disburse_g_90day_d_count	NUMBER	The number of different platforms in the industry's credit incidents in the last full natural month within 90 natural numbers associated with gaid
events_gaid_lastmth_partner_idv_g_180day_d_count	NUMBER	The number of different platforms in the industry's identity authentication events in the last full natural month within the 180 natural numbers associated with gaid
events_gaid_lastmth_partner_idv_g_365day_d_count	NUMBER	The number of different platforms in the first full natural month in the identity authentication events in the industry within the 365 natural numbers associated with gaid
events_gaid_lastmth_partner_idv_g_60day_d_count	NUMBER	The number of different platforms in the industry's identity authentication events in the last full natural month within 60 natural numbers associated with gaid
events_gaid_lastmth_partner_idv_g_90day_d_count	NUMBER	The number of identity authentication events in the industry within 90 natural numbers associated with gaid on different platforms in the first full natural month
events_gaid_lastmth_partner_loan_g_365day_d_count	NUMBER	Gaid is associated with the number of different platforms in the first full natural month in the credit granting events in the entire industry within 365 days
events_gaid_lastmth_partner_login_g_180day_d_count	NUMBER	Number of login events on different platforms in the first full natural month in all industries within the 180 natural numbers associated with gaid
events_gaid_lastmth_partner_login_g_365day_d_count	NUMBER	Number of login events in the industry in the last full natural month on different platforms within the 365 natural numbers associated with gaid
events_gaid_lastmth_partner_login_g_60day_d_count	NUMBER	Number of login events in the industry within 60 natural numbers associated with gaid on different platforms in the first full natural month
events_gaid_lastmth_partner_login_g_90day_d_count	NUMBER	Number of login events in the industry within 90 natural numbers associated with gaid on different platforms in the first full natural month
events_gaid_loan_g_15day_avg	NUMBER	The average number of records per day in all industries in the credit events in the past 15 natural days
events_gaid_loan_g_15day_count	NUMBER	The number of times credit granting events occurred in the industry in the past 15 natural days with gaid
events_gaid_loan_g_15day_daytime_count	NUMBER	The number of credit granting events in the industry that occurred during the day in the past 15 natural days with gaid
events_gaid_loan_g_15day_daytime_ratio	NUMBER	The proportion of credit granting events in all industries that occurred during the day in the past 15 natural days with gaid
events_gaid_loan_g_15day_l1imbank_count	NUMBER	The number of records of credit events in the non-bank financial industry in the past 15 natural days with gaid
events_gaid_loan_g_15day_l1imbank_daytime_count	NUMBER	The number of credit granting events in the non-bank financial industry that occurred during the day in the past 15 natural days with gaid
events_gaid_loan_g_15day_l1imbank_weekend_count	NUMBER	The number of credit granting events in the non-bank financial industry that occurred on weekends in the past 15 natural days with gaid
events_gaid_loan_g_15day_l1imbank_workday_count	NUMBER	The number of credit granting events in the non-bank financial industry that occurred on working days in the past 15 natural days with gaid
events_gaid_loan_g_15day_workday_count	NUMBER	The number of credit granting events in the industry that occurred on working days in the past 15 natural days with gaid
events_gaid_loan_g_15day_workday_ratio	NUMBER	The proportion of credit granting events in all industries that occurred on working days in the past 15 natural days with gaid
events_gaid_loan_g_180day_avg	NUMBER	The average number of records per day in all industries in the credit events in the past 180 natural days
events_gaid_loan_g_180day_count	NUMBER	The number of times credit events occurred in the industry in the past 180 natural days with gaid
events_gaid_loan_g_180day_daytime_count	NUMBER	The number of credit granting events in the industry that occurred during the day in the past 180 natural days with gaid
events_gaid_loan_g_180day_daytime_ratio	NUMBER	The proportion of credit granting events in all industries that occurred during the day in the past 180 natural days with gaid
events_gaid_loan_g_180day_l1imbank_count	NUMBER	The number of records in credit granting events in the non-bank financial industry in the past 180 natural days with gaid
events_gaid_loan_g_180day_l1imbank_daytime_count	NUMBER	The number of credit granting events in the non-bank financial industry that occurred during the day in the past 180 natural days with gaid
events_gaid_loan_g_180day_l1imbank_weekend_count	NUMBER	The number of credit granting events in the non-bank financial industry that occurred on weekends in the past 180 natural days with gaid
events_gaid_loan_g_180day_l1imbank_workday_count	NUMBER	The number of credit granting events in the non-bank financial industry that occurred on working days in the past 180 natural days with gaid
events_gaid_loan_g_180day_workday_count	NUMBER	The number of credit granting events in the industry that occurred on working days in the past 180 natural days with gaid
events_gaid_loan_g_180day_workday_ratio	NUMBER	The proportion of credit granting events in all industries that occurred on working days in the past 180 natural days with gaid
events_gaid_loan_g_30day_avg	NUMBER	The average number of records per day in all industries in the credit events in the past 30 natural days
events_gaid_loan_g_30day_count	NUMBER	The number of times credit granting events occurred in the industry in the past 30 natural days with gaid
events_gaid_loan_g_30day_daytime_count	NUMBER	The number of credit granting events in the industry that occurred during the day in the past 30 natural days with gaid
events_gaid_loan_g_30day_daytime_ratio	NUMBER	The proportion of credit granting events in all industries that occurred during the day in the past 30 natural days with gaid
events_gaid_loan_g_30day_l1imbank_count	NUMBER	The number of records of credit events in the non-bank financial industry in the past 30 natural days with gaid
events_gaid_loan_g_30day_l1imbank_daytime_count	NUMBER	The number of credit granting events in the non-bank financial industry that occurred during the day in the past 30 natural days with gaid
events_gaid_loan_g_30day_l1imbank_weekend_count	NUMBER	The number of credit granting events in the non-bank financial industry that occurred on weekends in the past 30 natural days with gaid
events_gaid_loan_g_30day_l1imbank_workday_count	NUMBER	The number of credit granting events in the non-bank financial industry that occurred on working days in the past 30 natural days with gaid
events_gaid_loan_g_30day_workday_count	NUMBER	The number of credit granting events in the industry that occurred on working days in the past 30 natural days with gaid
events_gaid_loan_g_30day_workday_ratio	NUMBER	The proportion of credit granting events in all industries that occurred on working days in the past 30 natural days with gaid
events_gaid_loan_g_365day_avg	NUMBER	The average number of records per day in all industries in the credit events in the past 365 natural days
events_gaid_loan_g_365day_count	NUMBER	The number of times credit granting events occurred in the industry in the past 365 natural days with gaid
events_gaid_loan_g_365day_daytime_count	NUMBER	The number of credit granting events in the industry that occurred during the day in the past 365 natural days with gaid
events_gaid_loan_g_365day_daytime_ratio	NUMBER	The proportion of credit granting events in all industries that occurred during the day in the past 365 natural days with gaid
events_gaid_loan_g_365day_l1imbank_count	NUMBER	The number of records of credit events in the non-bank financial industry in the past 365 natural days with gaid
events_gaid_loan_g_365day_l1imbank_daytime_count	NUMBER	The number of credit granting events in the non-bank financial industry that occurred during the day in the past 365 natural days with gaid
events_gaid_loan_g_365day_l1imbank_weekend_count	NUMBER	The number of credit granting events in the non-bank financial industry that occurred on weekends in the past 365 natural days with gaid
events_gaid_loan_g_365day_l1imbank_workday_count	NUMBER	The number of credit granting events in the non-bank financial industry that occurred on working days in the past 365 natural days with gaid
events_gaid_loan_g_365day_workday_count	NUMBER	The number of credit granting events in the industry that occurred on working days in the past 365 natural days with gaid
events_gaid_loan_g_365day_workday_ratio	NUMBER	The proportion of credit granting events in all industries that occurred on working days in the past 365 natural days with gaid
events_gaid_loan_g_60day_avg	NUMBER	The average number of records per day in all industries in the credit events in the past 60 natural days
events_gaid_loan_g_60day_count	NUMBER	The number of times credit granting events occurred in the industry in the past 60 natural days with gaid
events_gaid_loan_g_60day_daytime_count	NUMBER	The number of credit granting events in the industry that occurred during the day in the past 60 natural days with gaid
events_gaid_loan_g_60day_daytime_ratio	NUMBER	The proportion of credit granting events in all industries that occurred during the day in the past 60 natural days with gaid
events_gaid_loan_g_60day_l1imbank_count	NUMBER	The number of records of credit events in the non-bank financial industry in the past 60 natural days with gaid
events_gaid_loan_g_60day_l1imbank_daytime_count	NUMBER	The number of credit granting events in the non-bank financial industry that occurred during the day in the past 60 natural days with gaid
events_gaid_loan_g_60day_l1imbank_weekend_count	NUMBER	The number of credit granting events in the non-bank financial industry that occurred on weekends in the past 60 natural days with gaid
events_gaid_loan_g_60day_l1imbank_workday_count	NUMBER	The number of credit granting events in the non-bank financial industry that occurred on working days in the past 60 natural days with gaid
events_gaid_loan_g_60day_workday_count	NUMBER	The number of credit granting events in the industry that occurred on working days in the past 60 natural days with gaid
events_gaid_loan_g_60day_workday_ratio	NUMBER	The proportion of credit granting events in all industries that occurred on working days in the past 60 natural days with gaid
events_gaid_loan_g_90day_avg	NUMBER	The average number of records per day in all industries in the credit events in the past 90 natural days
events_gaid_loan_g_90day_count	NUMBER	The number of times credit granting events occurred in the industry in the past 90 natural days with gaid
events_gaid_loan_g_90day_daytime_count	NUMBER	The number of credit granting events in the industry that occurred during the day in the past 90 natural days with gaid
events_gaid_loan_g_90day_daytime_ratio	NUMBER	The proportion of credit granting events in all industries that occurred during the day in the past 90 natural days with gaid
events_gaid_loan_g_90day_l1imbank_count	NUMBER	The number of records of credit events in the non-bank financial industry in the past 90 natural days with gaid
events_gaid_loan_g_90day_l1imbank_daytime_count	NUMBER	The number of credit granting events in the non-bank financial industry that occurred during the day in the past 90 natural days with gaid
events_gaid_loan_g_90day_l1imbank_weekend_count	NUMBER	The number of credit granting events in the non-bank financial industry that occurred on weekends in the past 90 natural days with gaid
events_gaid_loan_g_90day_l1imbank_workday_count	NUMBER	The number of credit granting events in the non-bank financial industry that occurred on working days in the past 90 natural days with gaid
events_gaid_loan_g_90day_workday_count	NUMBER	The number of credit granting events in the industry that occurred on working days in the past 90 natural days with gaid
events_gaid_loan_g_90day_workday_ratio	NUMBER	The proportion of credit granting events in all industries that occurred on working days in the past 90 natural days with gaid
events_gaid_login_g_15day_avg	NUMBER	The average number of daily records in all industries in the past 15 natural days
events_gaid_login_g_15day_count	NUMBER	The number of records in the login events of the entire industry in the past 15 natural days with gaid
events_gaid_login_g_15day_daytime_count	NUMBER	The number of login events in the industry that occurred during the day in the past 15 natural days with gaid
events_gaid_login_g_15day_daytime_ratio	NUMBER	The proportion of login events in all industries that occurred during the day in the past 15 natural days with gaid
events_gaid_login_g_15day_l1imbank_count	NUMBER	The number of records in the login events of the non-bank financial industry in the past 15 natural days with gaid
events_gaid_login_g_15day_l1imbank_daytime_count	NUMBER	The number of login events in the non-bank financial industry that occurred during the day in the past 15 natural days with gaid
events_gaid_login_g_15day_l1imbank_weekend_count	NUMBER	The number of login events in the non-bank financial industry that occurred on weekends in the past 15 natural days with gaid
events_gaid_login_g_15day_l1imbank_workday_count	NUMBER	The number of login events in the non-bank financial industry that occurred on working days in the past 15 natural days with gaid
events_gaid_login_g_15day_workday_count	NUMBER	The number of login events in the industry that occurred on working days in the past 15 natural days with gaid
events_gaid_login_g_15day_workday_ratio	NUMBER	The proportion of login events in all industries that occurred on weekdays in the past 15 natural days with gaid
events_gaid_login_g_180day_avg	NUMBER	The average number of daily records in all industries in the past 180 natural days
events_gaid_login_g_180day_count	NUMBER	The number of records of login events in the whole industry in the past 180 natural days with gaid
events_gaid_login_g_180day_daytime_count	NUMBER	The number of login events in the industry that occurred during the day in the past 180 natural days with gaid
events_gaid_login_g_180day_daytime_ratio	NUMBER	The proportion of login events in all industries that occurred during the day in the past 180 natural days with gaid
events_gaid_login_g_180day_l1imbank_count	NUMBER	The number of records in the login events of the non-bank financial industry in the past 180 natural days with gaid
events_gaid_login_g_180day_l1imbank_daytime_count	NUMBER	The number of login events in the non-bank financial industry that occurred during the day in the past 180 natural days with gaid
events_gaid_login_g_180day_l1imbank_weekend_count	NUMBER	The number of login events in the non-bank financial industry that occurred on weekends in the past 180 natural days with gaid
events_gaid_login_g_180day_l1imbank_workday_count	NUMBER	The number of login events in the non-bank financial industry that occurred on working days in the past 180 natural days with gaid
events_gaid_login_g_180day_workday_count	NUMBER	The number of login events in the industry that occurred on working days in the past 180 natural days with gaid
events_gaid_login_g_180day_workday_ratio	NUMBER	The proportion of login events in all industries that occurred on weekdays in the past 180 natural days with gaid
events_gaid_login_g_30day_avg	NUMBER	The average number of daily records in all industries in the past 30 natural days
events_gaid_login_g_30day_count	NUMBER	The number of records of login events in the whole industry in the past 30 natural days with gaid
events_gaid_login_g_30day_daytime_count	NUMBER	The number of login events in the industry that occurred during the day in the past 30 natural days with gaid
events_gaid_login_g_30day_daytime_ratio	NUMBER	The proportion of login events in all industries that occurred during the day in the past 30 natural days with gaid
events_gaid_login_g_30day_l1imbank_count	NUMBER	The number of records in the login events of the non-bank financial industry in the past 30 natural days with gaid
events_gaid_login_g_30day_l1imbank_daytime_count	NUMBER	The number of login events in the non-bank financial industry that occurred during the day in the past 30 natural days with gaid
events_gaid_login_g_30day_l1imbank_weekend_count	NUMBER	The number of login events in the non-bank financial industry that occurred on weekends in the past 30 natural days with gaid
events_gaid_login_g_30day_l1imbank_workday_count	NUMBER	The number of login events in the non-bank financial industry that occurred on working days in the past 30 natural days with gaid
events_gaid_login_g_30day_workday_count	NUMBER	The number of login events in the industry that occurred on working days in the past 30 natural days with gaid
events_gaid_login_g_30day_workday_ratio	NUMBER	The proportion of login events in all industries that occurred on weekdays in the past 30 natural days with gaid
events_gaid_login_g_365day_avg	NUMBER	The average number of daily records in all industries in the past 365 natural days
events_gaid_login_g_365day_count	NUMBER	The number of records of login events in the whole industry in the past 365 natural days with gaid
events_gaid_login_g_365day_daytime_count	NUMBER	The number of login events in the industry that occurred during the day in the past 365 natural days with gaid
events_gaid_login_g_365day_daytime_ratio	NUMBER	The proportion of login events in all industries that occurred during the day in the past 365 natural days with gaid
events_gaid_login_g_365day_l1imbank_count	NUMBER	The number of records in the login events of the non-bank financial industry in the past 365 natural days with gaid
events_gaid_login_g_365day_l1imbank_daytime_count	NUMBER	The number of login events in the non-bank financial industry that occurred during the day in the past 365 natural days with gaid
events_gaid_login_g_365day_l1imbank_weekend_count	NUMBER	The number of login events in the non-bank financial industry that occurred on weekends in the past 365 natural days with gaid
events_gaid_login_g_365day_l1imbank_workday_count	NUMBER	The number of login events in the non-bank financial industry that occurred on working days in the past 365 natural days with gaid
events_gaid_login_g_365day_workday_count	NUMBER	The number of login events in the industry that occurred on working days in the past 365 natural days with gaid
events_gaid_login_g_365day_workday_ratio	NUMBER	The proportion of login events in all industries that occurred on weekdays in the past 365 natural days with gaid
events_gaid_login_g_60day_avg	NUMBER	The average number of daily records in all industries in the past 60 natural days
events_gaid_login_g_60day_count	NUMBER	The number of records of login events in the whole industry in the past 60 natural days with gaid
events_gaid_login_g_60day_daytime_count	NUMBER	The number of login events in the industry that occurred during the day in the past 60 natural days with gaid
events_gaid_login_g_60day_daytime_ratio	NUMBER	The proportion of login events in all industries that occurred during the day in the past 60 natural days with gaid
events_gaid_login_g_60day_l1imbank_count	NUMBER	The number of records in the login events of the non-bank financial industry in the past 60 natural days with gaid
events_gaid_login_g_60day_l1imbank_daytime_count	NUMBER	The number of login events in the non-bank financial industry that occurred during the day in the past 60 natural days with gaid
events_gaid_login_g_60day_l1imbank_weekend_count	NUMBER	The number of login events in the non-bank financial industry that occurred on weekends in the past 60 natural days with gaid
events_gaid_login_g_60day_l1imbank_workday_count	NUMBER	The number of login events in the non-bank financial industry that occurred on working days in the past 60 natural days with gaid
events_gaid_login_g_60day_workday_count	NUMBER	The number of login events in the industry that occurred on working days in the past 60 natural days with gaid
events_gaid_login_g_60day_workday_ratio	NUMBER	The proportion of login events in all industries that occurred on weekdays in the past 60 natural days with gaid
events_gaid_login_g_90day_avg	NUMBER	The average number of daily records in all industries in the past 90 natural days
events_gaid_login_g_90day_count	NUMBER	The number of records of login events in the whole industry in the past 90 natural days with gaid
events_gaid_login_g_90day_daytime_count	NUMBER	The number of login events in the industry that occurred during the day in the past 90 natural days with gaid
events_gaid_login_g_90day_daytime_ratio	NUMBER	The proportion of login events in all industries that occurred during the day in the past 90 natural days with gaid
events_gaid_login_g_90day_l1imbank_count	NUMBER	The number of records in the login events of the non-bank financial industry in the past 90 natural days with gaid
events_gaid_login_g_90day_l1imbank_daytime_count	NUMBER	The number of login events in the non-bank financial industry that occurred during the day in the past 90 natural days with gaid
events_gaid_login_g_90day_l1imbank_weekend_count	NUMBER	The number of login events in the non-bank financial industry that occurred on weekends in the past 90 natural days with gaid
events_gaid_login_g_90day_l1imbank_workday_count	NUMBER	The number of login events in the non-bank financial industry that occurred on working days in the past 90 natural days with gaid
events_gaid_login_g_90day_workday_count	NUMBER	The number of login events in the industry that occurred on working days in the past 90 natural days with gaid
events_gaid_login_g_90day_workday_ratio	NUMBER	The proportion of login events in all industries that occurred on weekdays in the past 90 natural days with gaid
events_gaid_m_all_g_15day_d_count	NUMBER	The number of different mobile phone numbers in all industries and all events within 15 natural days associated with gaid
events_gaid_m_all_g_180day_d_count	NUMBER	The number of different mobile phone numbers in all industries and all events within 180 natural days associated with gaid
events_gaid_m_all_g_30day_d_count	NUMBER	The number of different mobile phone numbers in all industries and all events within 30 natural days associated with gaid
events_gaid_m_all_g_365day_d_count	NUMBER	The number of different mobile phone numbers in all industries and all events within 365 natural days associated with gaid
events_gaid_m_all_g_60day_d_count	NUMBER	The number of different mobile phone numbers in all industries and all events within 60 natural days associated with gaid
events_gaid_m_all_g_90day_d_count	NUMBER	The number of different mobile phone numbers in all industries and all events within 90 natural days associated with gaid
events_gaid_maxcnt_dayperiod_all_g_15day_l1imbank_value	NUMBER	GaidThe most preferred time period for all events in the non-bank financial industry in the past 15 natural days
events_gaid_maxcnt_dayperiod_all_g_180day_l1imbank_value	NUMBER	GaidThe most preferred time period for all events in the non-bank financial industry in the past 180 natural days
events_gaid_maxcnt_dayperiod_all_g_30day_l1imbank_value	NUMBER	GaidThe most preferred time period for all events in the non-bank financial industry in the past 30 natural days
events_gaid_maxcnt_dayperiod_all_g_365day_l1imbank_value	NUMBER	The most preferred time period for all events in the non-bank financial industry in the past 365 natural days
events_gaid_maxcnt_dayperiod_all_g_60day_l1imbank_value	NUMBER	GaidThe most preferred time period for all events in the non-bank financial industry in the past 60 natural days
events_gaid_maxcnt_dayperiod_all_g_90day_l1imbank_value	NUMBER	The most preferred time period for all events in the non-bank financial industry in the past 90 natural days with gaid
events_gaid_maxcnt_wkperoid_disburse_g_15day_l1imbank_ratio	NUMBER	The percentage of the maximum number of records in the weekly time period in the non-bank financial industry in the past 15 natural days
events_gaid_maxcnt_wkperoid_disburse_g_180day_l1imbank_ratio	NUMBER	The percentage of the maximum number of records in the weekly time period in the non-bank financial industry in the past 180 natural days
events_gaid_maxcnt_wkperoid_disburse_g_30day_l1imbank_ratio	NUMBER	The percentage of the maximum number of records in the weekly time period in the non-bank financial industry in the past 30 natural days
events_gaid_maxcnt_wkperoid_disburse_g_365day_l1imbank_ratio	NUMBER	The percentage of the maximum number of records in the weekly time period in the non-bank financial industry's credit incidents in the past 365 natural days
events_gaid_maxcnt_wkperoid_disburse_g_60day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the non-bank financial industry's credit incidents in the past 60 natural days
events_gaid_maxcnt_wkperoid_disburse_g_90day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the non-bank financial industry's credit incidents in the past 90 natural days with gaid
events_gaid_maxcnt_wkperoid_idv_g_15day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the identity authentication events in the non-bank financial industry in the past 15 natural days with gaid
events_gaid_maxcnt_wkperoid_idv_g_180day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the identity authentication events in the non-bank financial industry in the past 180 natural days with gaid
events_gaid_maxcnt_wkperoid_idv_g_30day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the identity authentication events in the non-bank financial industry in the past 30 natural days with gaid
events_gaid_maxcnt_wkperoid_idv_g_365day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the identity authentication events in the non-bank financial industry in the past 365 natural days with gaid
events_gaid_maxcnt_wkperoid_idv_g_60day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the identity authentication events in the non-bank financial industry in the past 60 natural days with gaid
events_gaid_maxcnt_wkperoid_idv_g_90day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the identity authentication events in the non-bank financial industry in the past 90 natural days with gaid
events_gaid_maxcnt_wkperoid_loan_g_15day_l1imbank_ratio	NUMBER	The percentage of the maximum number of records in the weekly time period in the credit granting events in the non-bank financial industry in the past 15 natural days
events_gaid_maxcnt_wkperoid_loan_g_180day_l1imbank_ratio	NUMBER	The percentage of the maximum number of records in the weekly time period in the credit granting events in the non-bank financial industry in the past 180 natural days
events_gaid_maxcnt_wkperoid_loan_g_30day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the credit events of the non-bank financial industry in the past 30 natural days with gaid
events_gaid_maxcnt_wkperoid_loan_g_365day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the credit events of the non-bank financial industry in the past 365 natural days with gaid
events_gaid_maxcnt_wkperoid_loan_g_60day_l1imbank_ratio	NUMBER	The percentage of the maximum number of records in the weekly time period in the credit granting events in the non-bank financial industry in the past 60 natural days
events_gaid_maxcnt_wkperoid_loan_g_90day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the credit events of the non-bank financial industry in the past 90 natural days with gaid
events_gaid_maxcnt_wkperoid_login_g_15day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the login events of the non-bank financial industry in the past 15 natural days with gaid
events_gaid_maxcnt_wkperoid_login_g_180day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the login events of the non-bank financial industry in the past 180 natural days with gaid
events_gaid_maxcnt_wkperoid_login_g_30day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the login events of the non-bank financial industry in the past 30 natural days with gaid
events_gaid_maxcnt_wkperoid_login_g_365day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the login events of the non-bank financial industry in the past 365 natural days with gaid
events_gaid_maxcnt_wkperoid_login_g_60day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the login events of the non-bank financial industry in the past 60 natural days with gaid
events_gaid_maxcnt_wkperoid_login_g_90day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the login events of the non-bank financial industry in the past 90 natural days with gaid
events_gaid_min_mthly_disburse_g_15day_l1imbank_count	NUMBER	The minimum number of records of credit incidents in the non-bank financial industry in a complete natural month within the past 15 natural numbers
events_gaid_min_mthly_disburse_g_180day_l1imbank_count	NUMBER	The minimum number of records in the credit incidents in the non-bank financial industry in the last 180 natural numbers
events_gaid_min_mthly_disburse_g_30day_l1imbank_count	NUMBER	The minimum number of records of credit incidents in the non-bank financial industry in a complete natural month within the past 30 natural numbers
events_gaid_min_mthly_disburse_g_365day_l1imbank_count	NUMBER	gaidMinimum number of records in a full natural month in the credit incidents in the non-bank financial industry within the last 365 natural numbers
events_gaid_min_mthly_disburse_g_60day_l1imbank_count	NUMBER	The minimum number of records of credit incidents in the non-bank financial industry in a complete natural month within the last 60 natural numbers
events_gaid_min_mthly_disburse_g_90day_l1imbank_count	NUMBER	The minimum number of records in the credit incidents in the non-bank financial industry within the last 90 natural numbers
events_gaid_min_mthly_idv_g_15day_l1imbank_count	NUMBER	Minimum number of records in a full natural month in identity authentication events in the non-bank financial industry within the last 15 natural numbers
events_gaid_min_mthly_idv_g_180day_l1imbank_count	NUMBER	gaidMinimum number of records in a full natural month in identity authentication events in the non-bank financial industry within the last 180 natural numbers
events_gaid_min_mthly_idv_g_30day_l1imbank_count	NUMBER	Minimum number of records in a full natural month in identity authentication events in the non-bank financial industry within the last 30 natural numbers
events_gaid_min_mthly_idv_g_365day_l1imbank_count	NUMBER	gaidMinimum number of records in a complete natural month in identity authentication events in the non-bank financial industry within the last 365 natural numbers
events_gaid_min_mthly_idv_g_60day_l1imbank_count	NUMBER	Minimum number of records in a full natural month in identity authentication events in the non-bank financial industry within the last 60 natural numbers
events_gaid_min_mthly_idv_g_90day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the identity authentication event in the non-bank financial industry within the last 90 natural numbers
events_gaid_min_mthly_loan_g_15day_l1imbank_count	NUMBER	GaidThe minimum number of records in the credit events of the non-bank financial industry in the past 15 days in a complete natural month
events_gaid_min_mthly_loan_g_180day_l1imbank_count	NUMBER	gaidMinimum number of records in a complete natural month in credit events in the non-bank financial industry in the past 180 days
events_gaid_min_mthly_loan_g_30day_l1imbank_count	NUMBER	The minimum number of records of credit events in the non-bank financial industry in the past 30 days in a complete natural month
events_gaid_min_mthly_loan_g_365day_l1imbank_count	NUMBER	GaidThe minimum number of records in a complete natural month in the credit events of the non-bank financial industry in the past 365 days
events_gaid_min_mthly_loan_g_60day_l1imbank_count	NUMBER	GaidThe minimum number of records in the credit events of the non-bank financial industry in the past 60 days in a complete natural month
events_gaid_min_mthly_loan_g_90day_l1imbank_count	NUMBER	gaidMinimum number of records in a complete natural month in credit events in the non-bank financial industry in the past 90 days
events_gaid_min_mthly_login_g_15day_l1imbank_count	NUMBER	gaidMinimum number of records in a full natural month in the login event of the non-bank financial industry within the last 15 natural numbers
events_gaid_min_mthly_login_g_180day_l1imbank_count	NUMBER	gaidMinimum number of records in a full natural month in the non-bank financial industry for login events within the last 180 natural numbers
events_gaid_min_mthly_login_g_30day_l1imbank_count	NUMBER	gaidMinimum number of records in a full natural month in the non-bank financial industry for login events within the last 30 natural numbers
events_gaid_min_mthly_login_g_365day_l1imbank_count	NUMBER	gaidMinimum number of records in a full natural month in the non-bank financial industry in the past 365 natural numbers
events_gaid_min_mthly_login_g_60day_l1imbank_count	NUMBER	Minimum number of records in a full natural month in the non-bank financial industry in the last 60 natural numbers
events_gaid_min_mthly_login_g_90day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the non-bank financial industry in the last 90 natural numbers
events_gaid_mth_disburse_g_15day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit incidents in the non-bank financial industry within the past 15 natural numbers with gaid
events_gaid_mth_disburse_g_180day_l1imbank_d_count	NUMBER	gaidNumber of complete natural months with records of credit incidents in non-bank financial industry within the last 180 natural numbers
events_gaid_mth_disburse_g_30day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit incidents in the non-bank financial industry within the last 30 natural numbers with gaid
events_gaid_mth_disburse_g_365day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit incidents in the non-bank financial industry within the last 365 natural numbers with gaid
events_gaid_mth_disburse_g_60day_l1imbank_d_count	NUMBER	gaidNumber of complete natural months with records of credit incidents in non-bank financial industry within the last 60 natural numbers
events_gaid_mth_disburse_g_90day_l1imbank_d_count	NUMBER	gaidNumber of complete natural months with records of credit incidents in non-bank financial industry within the last 90 natural numbers
events_gaid_mth_idv_g_15day_l1imbank_d_count	NUMBER	The number of complete natural months with records of identity authentication events in the non-bank financial industry within the last 15 natural numbers with gaid
events_gaid_mth_idv_g_180day_l1imbank_d_count	NUMBER	gaidNumber of complete natural months with records of identity authentication events in non-bank financial industry within 180 natural numbers
events_gaid_mth_idv_g_30day_l1imbank_d_count	NUMBER	The number of complete natural months with records of identity authentication events in the non-bank financial industry within the last 30 natural numbers with gaid
events_gaid_mth_idv_g_365day_l1imbank_d_count	NUMBER	The number of complete natural months with records of identity authentication events in the non-bank financial industry within the last 365 natural numbers with gaid
events_gaid_mth_idv_g_60day_l1imbank_d_count	NUMBER	gaidNumber of complete natural months with records of identity authentication events in non-bank financial industry within the last 60 natural numbers
events_gaid_mth_idv_g_90day_l1imbank_d_count	NUMBER	gaidNumber of complete natural months with records of identity authentication events in non-bank financial industry within 90 natural numbers
events_gaid_mth_loan_g_15day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit events in the non-bank financial industry in the past 15 days with gaid
events_gaid_mth_loan_g_180day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit events in the non-bank financial industry in the past 180 days with gaid
events_gaid_mth_loan_g_30day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit events in the non-bank financial industry in the past 30 days with gaid
events_gaid_mth_loan_g_365day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit events in the non-bank financial industry in the past 365 days with gaid
events_gaid_mth_loan_g_60day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit events in the non-bank financial industry in the past 60 days with gaid
events_gaid_mth_loan_g_90day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit events in the non-bank financial industry in the past 90 days with gaid
events_gaid_mth_login_g_15day_l1imbank_d_count	NUMBER	The number of complete natural months with records of login events in the non-bank financial industry within the last 15 natural numbers with gaid
events_gaid_mth_login_g_180day_l1imbank_d_count	NUMBER	gaidNumber of complete natural months with records of login events in non-bank financial industry within the last 180 natural numbers
events_gaid_mth_login_g_30day_l1imbank_d_count	NUMBER	The number of complete natural months with records of login events in the non-bank financial industry within the last 30 natural numbers with gaid
events_gaid_mth_login_g_365day_l1imbank_d_count	NUMBER	The number of complete natural months with records of login events in the non-bank financial industry within the last 365 natural numbers with gaid
events_gaid_mth_login_g_60day_l1imbank_d_count	NUMBER	gaidNumber of complete natural months with records of login events in non-bank financial industry within the last 60 natural numbers
events_gaid_mth_login_g_90day_l1imbank_d_count	NUMBER	gaidNumber of complete natural months with records of login events in non-bank financial industry within the last 90 natural numbers
events_gaid_partner_all_g_15day_avg	NUMBER	The average number of different platforms per day in all events in the industry in the past 15 natural days
events_gaid_partner_all_g_15day_d_count	NUMBER	The number of different platforms in all events in all industries within 15 natural days associated with gaid
events_gaid_partner_all_g_180day_avg	NUMBER	The average number of different platforms per day in all events in the industry in the past 180 natural days
events_gaid_partner_all_g_180day_d_count	NUMBER	The number of different platforms in all events in all industries within 180 natural days associated with gaid
events_gaid_partner_all_g_30day_avg	NUMBER	The average number of different platforms per day in all events in the industry in the past 30 natural days
events_gaid_partner_all_g_30day_d_count	NUMBER	The number of different platforms in all events in all industries within 30 natural days associated with gaid
events_gaid_partner_all_g_365day_avg	NUMBER	The average number of different platforms per day in all events in the industry in the past 365 natural days with gaid
events_gaid_partner_all_g_365day_d_count	NUMBER	The number of different platforms in all events in all industries within 365 natural days associated with gaid
events_gaid_partner_all_g_60day_avg	NUMBER	The average number of different platforms per day in all events in the industry in the past 60 natural days with gaid
events_gaid_partner_all_g_60day_d_count	NUMBER	The number of different platforms in all events in all industries within 60 natural days associated with gaid
events_gaid_partner_all_g_90day_avg	NUMBER	The average number of different platforms per day in all events in the industry in the past 90 natural days
events_gaid_partner_all_g_90day_d_count	NUMBER	The number of different platforms in all events in all industries within 90 natural days associated with gaid
events_gaid_partner_disburse_g_15day_d_count	NUMBER	The number of different platforms in all industries in the credit event within 15 natural days associated with gaid
events_gaid_partner_disburse_g_15day_l1imbank_d_count	NUMBER	The number of different platforms in the non-bank financial industry credit events within 15 natural days associated with gaid
events_gaid_partner_disburse_g_15day_ratio	NUMBER	The ratio of the number of different platforms in the credit incidents in the whole industry in the past 15 natural days to the number of all different platforms in the corresponding time with gaid
events_gaid_partner_disburse_g_180day_d_count	NUMBER	The number of different platforms in all industries in the credit event within 180 natural days associated with gaid
events_gaid_partner_disburse_g_180day_l1imbank_d_count	NUMBER	The number of different platforms in the non-bank financial industry credit events within 180 natural days associated with gaid
events_gaid_partner_disburse_g_180day_ratio	NUMBER	The ratio of the number of different platforms in the credit incidents in the whole industry in the past 180 natural days to the number of all different platforms in the corresponding time with gaid
events_gaid_partner_disburse_g_30day_d_count	NUMBER	The number of different platforms in all industries in the credit event within 30 natural days associated with gaid
events_gaid_partner_disburse_g_30day_l1imbank_d_count	NUMBER	The number of different platforms in the non-bank financial industry credit events within 30 natural days associated with gaid
events_gaid_partner_disburse_g_30day_ratio	NUMBER	The ratio of the number of different platforms in the credit incidents in the whole industry in the past 30 natural days to the number of all different platforms in the corresponding time with gaid
events_gaid_partner_disburse_g_30to180cd_d_count	NUMBER	The number of different platforms in all industries in the credit event within 30 to 180 natural days associated with gaid
events_gaid_partner_disburse_g_30to365cd_d_count	NUMBER	The number of different platforms in all industries in the credit event within 30 to 365 natural days associated with gaid
events_gaid_partner_disburse_g_30to60cd_d_count	NUMBER	The number of different platforms in all industries in the credit event within 30 to 60 natural days associated with gaid
events_gaid_partner_disburse_g_30to90cd_d_count	NUMBER	The number of different platforms in all industries in the credit event within 30 to 90 natural days associated with gaid
events_gaid_partner_disburse_g_365day_d_count	NUMBER	The number of different platforms in all industries in the credit event within 365 natural days associated with gaid
events_gaid_partner_disburse_g_365day_l1imbank_d_count	NUMBER	The number of different platforms in the non-bank financial industry credit events within 365 natural days associated with gaid
events_gaid_partner_disburse_g_365day_ratio	NUMBER	The ratio of the number of different platforms in the credit incidents in the whole industry in the past 365 natural days to the number of all different platforms in the corresponding time with gaid
events_gaid_partner_disburse_g_60day_d_count	NUMBER	The number of different platforms in all industries in the credit event within 60 natural days associated with gaid
events_gaid_partner_disburse_g_60day_l1imbank_d_count	NUMBER	The number of different platforms in the non-bank financial industry credit events within 60 natural days associated with gaid
events_gaid_partner_disburse_g_60day_ratio	NUMBER	The ratio of the number of different platforms in the credit incidents in the whole industry in the past 60 natural days to the number of all different platforms in the corresponding period with gaid
events_gaid_partner_disburse_g_90day_d_count	NUMBER	The number of different platforms in all industries in the credit event within 90 natural days associated with gaid
events_gaid_partner_disburse_g_90day_l1imbank_d_count	NUMBER	The number of different platforms in the non-bank financial industry credit incidents associated with gaid within 90 natural days
events_gaid_partner_disburse_g_90day_ratio	NUMBER	The ratio of the number of different platforms in the credit incidents in the whole industry in the past 90 natural days to the number of all different platforms in the corresponding period with gaid
events_gaid_partner_idv_g_15day_d_count	NUMBER	The number of different platforms in identity authentication events in all industries within 15 natural days associated with gaid
events_gaid_partner_idv_g_15day_l1imbank_d_count	NUMBER	The number of different platforms in the identity authentication events in the non-bank financial industry within 15 natural days associated with gaid
events_gaid_partner_idv_g_15day_ratio	NUMBER	The ratio of the number of different platforms in the identity authentication events in the whole industry in the past 15 natural days to the number of different platforms in the corresponding time with gaid
events_gaid_partner_idv_g_180day_d_count	NUMBER	The number of different platforms in identity authentication events in all industries within 180 natural days associated with gaid
events_gaid_partner_idv_g_180day_l1imbank_d_count	NUMBER	The number of different platforms in the identity authentication events in the non-bank financial industry within 180 natural days associated with gaid
events_gaid_partner_idv_g_180day_ratio	NUMBER	The ratio of the number of different platforms in the identity authentication events in the whole industry in the past 180 natural days to the number of all different platforms in the corresponding time with gaid
events_gaid_partner_idv_g_30day_d_count	NUMBER	The number of different platforms in identity authentication events in all industries within 30 natural days associated with gaid
events_gaid_partner_idv_g_30day_l1imbank_d_count	NUMBER	The number of different platforms in the identity authentication events in the non-bank financial industry within 30 natural days associated with gaid
events_gaid_partner_idv_g_30day_ratio	NUMBER	The ratio of the number of different platforms in the identity authentication events in the whole industry in the past 30 natural days to the number of different platforms in the corresponding time with gaid
events_gaid_partner_idv_g_30to180cd_d_count	NUMBER	The number of different platforms in identity authentication events in all industries associated with gaid within 30 to 180 natural days
events_gaid_partner_idv_g_30to365cd_d_count	NUMBER	The number of different platforms in identity authentication events in all industries associated with gaid within 30 to 365 natural days
events_gaid_partner_idv_g_30to60cd_d_count	NUMBER	The number of different platforms in identity authentication events in all industries associated with gaid within 30 to 60 natural days
events_gaid_partner_idv_g_30to90cd_d_count	NUMBER	The number of different platforms in identity authentication events in all industries associated with gaid within 30 to 90 natural days
events_gaid_partner_idv_g_365day_d_count	NUMBER	The number of different platforms in identity authentication events in all industries within 365 natural days associated with gaid
events_gaid_partner_idv_g_365day_l1imbank_d_count	NUMBER	The number of different platforms in the identity authentication events in the non-bank financial industry within 365 natural days associated with gaid
events_gaid_partner_idv_g_365day_ratio	NUMBER	The ratio of the number of different platforms in the identity authentication events in the whole industry in the past 365 natural days to the number of different platforms in the corresponding time with gaid
events_gaid_partner_idv_g_60day_d_count	NUMBER	The number of different platforms in identity authentication events in all industries within 60 natural days associated with gaid
events_gaid_partner_idv_g_60day_l1imbank_d_count	NUMBER	The number of different platforms in the identity authentication events in the non-bank financial industry within 60 natural days associated with gaid
events_gaid_partner_idv_g_60day_ratio	NUMBER	The ratio of the number of different platforms in the identity authentication events in the whole industry in the past 60 natural days to the number of different platforms in the corresponding time with gaid
events_gaid_partner_idv_g_90day_d_count	NUMBER	The number of different platforms in identity authentication events in all industries within 90 natural days associated with gaid
events_gaid_partner_idv_g_90day_l1imbank_d_count	NUMBER	The number of different platforms in the identity authentication events in the non-bank financial industry within 90 natural days associated with gaid
events_gaid_partner_idv_g_90day_ratio	NUMBER	The ratio of the number of different platforms in the identity authentication events in the whole industry in the past 90 natural days to the number of all different platforms in the corresponding time with gaid
events_gaid_partner_loan_g_15day_d_count	NUMBER	The number of different platforms in the credit granting events of all industries within 15 natural days associated with gaid
events_gaid_partner_loan_g_15day_l1imbank_d_count	NUMBER	The number of different platforms in the credit granting events in the non-bank financial industry within 15 natural days associated with gaid
events_gaid_partner_loan_g_15day_ratio	NUMBER	The ratio of the number of different platforms in the credit granting events in the whole industry in the past 15 natural days to the number of all different platforms in the corresponding time with gaid
events_gaid_partner_loan_g_180day_d_count	NUMBER	The number of different platforms in the credit granting events of all industries within 180 natural days associated with gaid
events_gaid_partner_loan_g_180day_l1imbank_d_count	NUMBER	The number of different platforms in the credit granting events in the non-bank financial industry within 180 natural days associated with gaid
events_gaid_partner_loan_g_180day_ratio	NUMBER	The ratio of the number of different platforms in the credit granting events in the whole industry in the past 180 natural days to the number of all different platforms in the corresponding time with gaid
events_gaid_partner_loan_g_30day_d_count	NUMBER	The number of different platforms in the credit granting events of all industries within 30 natural days associated with gaid
events_gaid_partner_loan_g_30day_l1imbank_d_count	NUMBER	The number of different platforms in the credit granting events in the non-bank financial industry within 30 natural days associated with gaid
events_gaid_partner_loan_g_30day_ratio	NUMBER	The ratio of the number of different platforms in the credit granting events in the whole industry in the past 30 natural days to the number of all different platforms in the corresponding time with gaid
events_gaid_partner_loan_g_30to180cd_d_count	NUMBER	The number of different platforms in the credit granting events in all industries within 30 to 180 natural days associated with gaid
events_gaid_partner_loan_g_30to365cd_d_count	NUMBER	The number of different platforms in the credit granting events of all industries associated with gaid within 30 to 365 natural days
events_gaid_partner_loan_g_30to60cd_d_count	NUMBER	The number of different platforms in the credit granting events in all industries associated with gaid within 30 to 60 natural days
events_gaid_partner_loan_g_30to90cd_d_count	NUMBER	The number of different platforms in the credit granting events in all industries within 30 to 90 natural days associated with gaid
events_gaid_partner_loan_g_365day_d_count	NUMBER	The number of different platforms in the credit granting events of all industries within 365 natural days associated with gaid
events_gaid_partner_loan_g_365day_l1imbank_d_count	NUMBER	The number of different platforms in the credit granting events in the non-bank financial industry within 365 natural days associated with gaid
events_gaid_partner_loan_g_365day_ratio	NUMBER	The ratio of the number of different platforms in the credit granting events in the whole industry in the past 365 natural days to the number of all different platforms in the corresponding time with gaid
events_gaid_partner_loan_g_60day_d_count	NUMBER	The number of different platforms in the credit granting events of all industries within 60 natural days associated with gaid
events_gaid_partner_loan_g_60day_l1imbank_d_count	NUMBER	The number of different platforms in the credit granting events in the non-bank financial industry within 60 natural days associated with gaid
events_gaid_partner_loan_g_60day_ratio	NUMBER	The ratio of the number of different platforms in the credit granting events in the whole industry in the past 60 natural days to the number of all different platforms in the corresponding period with gaid
events_gaid_partner_loan_g_90day_d_count	NUMBER	The number of different platforms in the credit granting events of all industries within 90 natural days associated with gaid
events_gaid_partner_loan_g_90day_l1imbank_d_count	NUMBER	The number of different platforms in the credit granting events in the non-bank financial industry within 90 natural days associated with gaid
events_gaid_partner_loan_g_90day_ratio	NUMBER	The ratio of the number of different platforms in the credit granting events in the whole industry in the past 90 natural days to the number of all different platforms in the corresponding period with gaid
events_gaid_partner_login_g_15day_d_count	NUMBER	The number of different platforms in the login events of all industries associated with gaid within 15 natural days
events_gaid_partner_login_g_15day_l1imbank_d_count	NUMBER	Number of different platforms in the login events of the non-bank financial industry associated with gaid within 15 natural days
events_gaid_partner_login_g_15day_ratio	NUMBER	The ratio of the number of different platforms in the login events of the whole industry in the past 15 natural days to the number of all different platforms in the corresponding time with gaid
events_gaid_partner_login_g_180day_d_count	NUMBER	The number of different platforms in the login events of all industries associated with gaid within 180 natural days
events_gaid_partner_login_g_180day_l1imbank_d_count	NUMBER	Number of different platforms in the login events of the non-bank financial industry associated with gaid within 180 natural days
events_gaid_partner_login_g_180day_ratio	NUMBER	The ratio of the number of different platforms in the login events of the whole industry in the past 180 natural days to the number of all different platforms in the corresponding time with gaid
events_gaid_partner_login_g_30day_d_count	NUMBER	The number of different platforms in the login events of all industries associated with gaid within 30 natural days
events_gaid_partner_login_g_30day_l1imbank_d_count	NUMBER	The number of different platforms in the login events of the non-bank financial industry within 30 natural days associated with gaid
events_gaid_partner_login_g_30day_ratio	NUMBER	The ratio of the number of different platforms in the login events of the whole industry in the past 30 natural days to the number of all different platforms in the corresponding time with gaid
events_gaid_partner_login_g_30to180cd_d_count	NUMBER	The number of different platforms in the login events of all industries associated with gaid within 30 to 180 natural days
events_gaid_partner_login_g_30to365cd_d_count	NUMBER	The number of different platforms in the login events of all industries associated with gaid within 30 to 365 natural days
events_gaid_partner_login_g_30to60cd_d_count	NUMBER	The number of different platforms in the login events of all industries associated with gaid within 30 to 60 natural days
events_gaid_partner_login_g_30to90cd_d_count	NUMBER	The number of different platforms in the login events of all industries associated with gaid within 30 to 90 natural days
events_gaid_partner_login_g_365day_d_count	NUMBER	The number of different platforms in the login events of all industries associated with gaid within 365 natural days
events_gaid_partner_login_g_365day_l1imbank_d_count	NUMBER	Number of different platforms in the login events of the non-bank financial industry associated with gaid within 365 natural days
events_gaid_partner_login_g_365day_ratio	NUMBER	The ratio of the number of different platforms in the login events of the whole industry in the past 365 natural days to the number of all different platforms in the corresponding time with gaid
events_gaid_partner_login_g_60day_d_count	NUMBER	The number of different platforms in the login events of all industries associated with gaid within 60 natural days
events_gaid_partner_login_g_60day_l1imbank_d_count	NUMBER	Number of different platforms in the login events of the non-bank financial industry within 60 natural days associated with gaid
events_gaid_partner_login_g_60day_ratio	NUMBER	The ratio of the number of different platforms in the login events of the whole industry in the past 60 natural days to the number of all different platforms in the corresponding time with gaid
events_gaid_partner_login_g_90day_d_count	NUMBER	The number of different platforms in the login events of all industries associated with gaid within 90 natural days
events_gaid_partner_login_g_90day_l1imbank_d_count	NUMBER	The number of different platforms in the login events of the non-bank financial industry within 90 natural days associated with gaid
events_gaid_partner_login_g_90day_ratio	NUMBER	The ratio of the number of different platforms in the login events of the whole industry in the past 90 natural days to the number of all different platforms in the corresponding time with gaid
events_gaid_partner_register_g_15day_d_count	NUMBER	The number of different platforms in the industry registration events associated with gaid within 15 natural days
events_gaid_partner_register_g_15day_ratio	NUMBER	The ratio of the number of different platforms in the registration events of the whole industry in the past 15 natural days to the number of all different platforms in the corresponding time with gaid
events_gaid_partner_register_g_180day_d_count	NUMBER	The number of different platforms in the industry registration events associated with gaid within 180 natural days
events_gaid_partner_register_g_180day_ratio	NUMBER	The ratio of the number of different platforms in the registration events of the whole industry in the past 180 natural days to the number of all different platforms in the corresponding time with gaid
events_gaid_partner_register_g_30day_d_count	NUMBER	The number of different platforms in the industry registration events associated with gaid within 30 natural days
events_gaid_partner_register_g_30day_ratio	NUMBER	The ratio of the number of different platforms in the registration events of the whole industry in the past 30 natural days to the number of all different platforms in the corresponding time with gaid
events_gaid_partner_register_g_365day_d_count	NUMBER	The number of different platforms in the registration events of the entire industry within 365 natural days associated with gaid
events_gaid_partner_register_g_365day_ratio	NUMBER	The ratio of the number of different platforms in the registration events of the whole industry in the past 365 natural days to the number of all different platforms in the corresponding time with gaid
events_gaid_partner_register_g_60day_d_count	NUMBER	The number of different platforms in the industry registration events associated with gaid within 60 natural days
events_gaid_partner_register_g_60day_ratio	NUMBER	The ratio of the number of different platforms in the registration events of the whole industry in the past 60 natural days to the number of all different platforms in the corresponding time with gaid
events_gaid_partner_register_g_90day_d_count	NUMBER	The number of different platforms in the industry registration events associated with gaid within 90 natural days
events_gaid_partner_register_g_90day_ratio	NUMBER	The ratio of the number of different platforms in the registration events of the whole industry in the past 90 natural days to the number of all different platforms in the corresponding time with gaid
events_gaid_reject_all_g_15day_ratio	NUMBER	The percentage of records with a decision result of reject in all events in all industries in the past 15 natural days with gaid
events_gaid_reject_all_g_180day_ratio	NUMBER	The percentage of records with a decision result of reject in all events in all industries in the past 180 natural days with gaid
events_gaid_reject_all_g_30day_ratio	NUMBER	The percentage of records with a decision result of reject in all events in all industries in the past 30 natural days with gaid
events_gaid_reject_all_g_365day_ratio	NUMBER	The percentage of records with a decision result of reject in all events in all industries in the past 365 natural days with gaid
events_gaid_reject_all_g_60day_ratio	NUMBER	The percentage of records with a decision result of reject in all events in all industries in the past 60 natural days with gaid
events_gaid_reject_all_g_90day_ratio	NUMBER	The percentage of records with a decision result of reject in all events in all industries in the past 90 natural days with gaid
events_gaid_review_all_g_15day_ratio	NUMBER	The percentage of records with the decision result of review in all events in all industries in the past 15 natural days with gaid
events_gaid_review_all_g_180day_ratio	NUMBER	The percentage of records with review decision results in all events in all industries in the past 180 natural days with gaid
events_gaid_review_all_g_30day_ratio	NUMBER	The percentage of records with the decision result of review in all events in all industries in the past 30 natural days with gaid
events_gaid_review_all_g_365day_ratio	NUMBER	The percentage of records with the decision result of review in all events in all industries in the past 365 natural days with gaid
events_gaid_review_all_g_60day_ratio	NUMBER	The percentage of records with the decision result of review in all events in all industries in the past 60 natural days with gaid
events_gaid_review_all_g_90day_ratio	NUMBER	The percentage of records with the decision result of review in all events in all industries in the past 90 natural days with gaid
events_gaid_std_10day_partner_all_g_180day_d_count	NUMBER	The standard deviation of the number of different platforms every 10 days for all events in the industry within 180 natural days associated with gaid
events_gaid_std_10day_partner_all_g_30day_d_count	NUMBER	The standard deviation of the number of different platforms every 10 days for all events in the industry within 30 natural days associated with gaid
events_gaid_std_10day_partner_all_g_365day_d_count	NUMBER	The standard deviation of the number of different platforms every 10 days for all events in the industry within 365 natural days associated with gaid
events_gaid_std_10day_partner_all_g_60day_d_count	NUMBER	The standard deviation of the number of different platforms every 10 days for all events in the industry within 60 natural days associated with gaid
events_gaid_std_10day_partner_all_g_90day_d_count	NUMBER	The standard deviation of the number of different platforms every 10 days for all events in the industry within 90 natural days associated with gaid
events_gaid_timediff_all_g_15day	NUMBER	The maximum time interval of all records in all events in all industries in the last 15 natural days with gaid
events_gaid_timediff_all_g_15day_avg	NUMBER	The average duration of all records in all events in the industry in the past 15 natural days (the maximum interval between all records in the corresponding period divided by the number of records minus 1) with gaid
events_gaid_timediff_all_g_15day_l1imbank	NUMBER	The maximum time interval of all records in all events in the non-bank financial industry in the last 15 natural days with gaid
events_gaid_timediff_all_g_15day_l1imbank_avg	NUMBER	The average duration of all records in all events in the non-bank financial industry in the past 15 natural days (the maximum interval between all records in the corresponding period divided by the number of records minus 1) with gaid
events_gaid_timediff_all_g_180day	NUMBER	The maximum time interval of all records in all events in all industries in the last 180 natural days.
events_gaid_timediff_all_g_180day_avg	NUMBER	The average duration of all records in all events in the industry in the past 180 natural days (the maximum interval between all records in the corresponding period divided by the number of records minus 1) with gaid
events_gaid_timediff_all_g_180day_l1imbank	NUMBER	The maximum time interval of all records in all events in the non-bank financial industry in the last 180 natural days.
events_gaid_timediff_all_g_180day_l1imbank_avg	NUMBER	The average duration of all records in all events in the non-bank financial industry in the past 180 natural days (the maximum interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_all_g_30day	NUMBER	The maximum time interval of all records in all events in all industries in the last 30 natural days with gaid
events_gaid_timediff_all_g_30day_avg	NUMBER	The average duration of all records in all events in the industry in the past 30 natural days (the maximum interval time of all records in the corresponding period divided by the number of records minus 1) with gaid
events_gaid_timediff_all_g_30day_l1imbank	NUMBER	The maximum time interval of all records in all events in the non-bank financial industry in the last 30 natural days with gaid
events_gaid_timediff_all_g_30day_l1imbank_avg	NUMBER	The average duration of all records in all events in the non-bank financial industry in the past 30 natural days (the maximum interval between all records in the corresponding period divided by the number of records minus 1) with gaid
events_gaid_timediff_all_g_365day	NUMBER	The maximum time interval of all records in all events in all industries in the last 365 natural days with gaid
events_gaid_timediff_all_g_365day_avg	NUMBER	The average duration of all records in all events in the industry in the past 365 natural days (the maximum interval between all records in the corresponding period divided by the number of records minus 1) with gaid
events_gaid_timediff_all_g_365day_l1imbank	NUMBER	The maximum time interval of all records in all events in the non-bank financial industry in the last 360 natural days with gaid
events_gaid_timediff_all_g_365day_l1imbank_avg	NUMBER	The average duration of all records in all events in the non-bank financial industry in the past 365 natural days (the maximum interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_all_g_60day	NUMBER	The maximum time interval of all records in all events in all industries in the last 60 natural days with gaid
events_gaid_timediff_all_g_60day_avg	NUMBER	The average duration of all records in all events in the industry in the past 60 natural days (the maximum interval between all records in the corresponding period divided by the number of records minus 1) with gaid
events_gaid_timediff_all_g_60day_l1imbank	NUMBER	The maximum time interval of all records in all events in the non-bank financial industry in the last 60 natural days with gaid
events_gaid_timediff_all_g_60day_l1imbank_avg	NUMBER	The average duration of all records in all events in the non-bank financial industry in the past 60 natural days (the maximum interval between all records in the corresponding period divided by the number of records minus 1) with gaid
events_gaid_timediff_all_g_90day	NUMBER	The maximum time interval of all records in all events in all industries in the last 90 natural days with gaid
events_gaid_timediff_all_g_90day_avg	NUMBER	The average duration of all records in all events in the industry in the past 90 natural days (the maximum interval between all records in the corresponding period divided by the number of records minus 1) with gaid
events_gaid_timediff_all_g_90day_l1imbank	NUMBER	The maximum time interval of all records in all events in the non-bank financial industry in the last 90 natural days with gaid
events_gaid_timediff_all_g_90day_l1imbank_avg	NUMBER	The average duration of all records in all events in the non-bank financial industry in the past 90 natural days (the maximum interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_disburse_g_15day	NUMBER	The maximum time interval between all records of letter events in all industries in the last 15 natural days.
events_gaid_timediff_disburse_g_15day_avg	NUMBER	The average time interval between all records in the credit event in all industries in the past 15 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_disburse_g_180day	NUMBER	The maximum time interval of all records in the letter events of all industries in the last 180 natural days
events_gaid_timediff_disburse_g_180day_avg	NUMBER	The average time interval between all records in the credit event in all industries in the past 180 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_disburse_g_30day	NUMBER	The maximum time interval of all records in the letter events of all industries in the last 30 natural days.
events_gaid_timediff_disburse_g_30day_avg	NUMBER	The average time interval between all records in the credit event in all industries in the past 30 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_disburse_g_365day	NUMBER	The maximum time interval of all records in letter events in all industries in the last 365 natural days with gaid
events_gaid_timediff_disburse_g_365day_avg	NUMBER	The average time interval between all records in the credit event in all industries in the past 365 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_disburse_g_60day	NUMBER	The maximum time interval of all records in the letter events of all industries in the last 60 natural days.
events_gaid_timediff_disburse_g_60day_avg	NUMBER	The average time interval between all records in the credit event in all industries in the past 60 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_disburse_g_90day	NUMBER	The maximum time interval of all records in letter events in all industries in the last 90 natural days with gaid
events_gaid_timediff_disburse_g_90day_avg	NUMBER	The average time interval between all records in the credit event in all industries in the past 90 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_idv_g_15day	NUMBER	The maximum time interval of all records in identity authentication events in all industries in the last 15 natural days with gaid
events_gaid_timediff_idv_g_15day_avg	NUMBER	The average time interval between all records of identity authentication events in all industries in the past 15 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_idv_g_180day	NUMBER	The maximum time interval of all records in identity authentication events in all industries in the last 180 natural days with gaid
events_gaid_timediff_idv_g_180day_avg	NUMBER	The average time interval between all records of identity authentication events in all industries in the past 180 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_idv_g_30day	NUMBER	The maximum time interval of all records in identity authentication events in all industries in the last 30 natural days with gaid
events_gaid_timediff_idv_g_30day_avg	NUMBER	The average time interval between all records of identity authentication events in all industries in the past 30 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1) with gaid
events_gaid_timediff_idv_g_365day	NUMBER	The maximum time interval of all records in identity authentication events in all industries in the last 365 natural days with gaid
events_gaid_timediff_idv_g_365day_avg	NUMBER	The average time interval between all records of identity authentication events in all industries in the past 365 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_idv_g_60day	NUMBER	The maximum time interval of all records in identity authentication events in all industries in the last 60 natural days with gaid
events_gaid_timediff_idv_g_60day_avg	NUMBER	The average time interval between all records of identity authentication events in all industries in the past 60 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1) with gaid
events_gaid_timediff_idv_g_90day	NUMBER	The maximum time interval of all records in identity authentication events in all industries in the last 90 natural days with gaid
events_gaid_timediff_idv_g_90day_avg	NUMBER	The average time interval between all records of identity authentication events in all industries in the past 90 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1) with gaid
events_gaid_timediff_loan_g_15day	NUMBER	The maximum time interval of all records in credit events in all industries in the last 15 natural days.
events_gaid_timediff_loan_g_15day_avg	NUMBER	The average time interval between all records of credit events in all industries in the last 15 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_loan_g_180day	NUMBER	The maximum time interval of all records in credit events in all industries in the last 180 natural days.
events_gaid_timediff_loan_g_180day_avg	NUMBER	The average time interval between all records of credit events in all industries in the last 180 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_loan_g_30day	NUMBER	The maximum time interval of all records in credit events in all industries in the last 30 natural days.
events_gaid_timediff_loan_g_30day_avg	NUMBER	The average time interval between all records of credit events in all industries in the last 30 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_loan_g_365day	NUMBER	The maximum time interval of all records in credit events in all industries in the last 365 natural days.
events_gaid_timediff_loan_g_365day_avg	NUMBER	The average time interval between all records of credit events in all industries in the last 365 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_loan_g_60day	NUMBER	The maximum time interval of all records in credit events in all industries in the last 60 natural days with gaid
events_gaid_timediff_loan_g_60day_avg	NUMBER	The average time interval between all records of credit events in all industries in the last 60 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_loan_g_90day	NUMBER	The maximum time interval of all records in credit events in all industries in the last 90 natural days.
events_gaid_timediff_loan_g_90day_avg	NUMBER	The average time interval between all records of credit events in all industries in the last 90 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_login_g_15day	NUMBER	The maximum time interval of all records in all industries logged in events in the last 15 natural days.
events_gaid_timediff_login_g_15day_avg	NUMBER	The average time interval between all records in the login events of all industries in the past 15 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_login_g_180day	NUMBER	The maximum time interval of all records in all industries in the last 180 natural days with gaid
events_gaid_timediff_login_g_180day_avg	NUMBER	The average time interval between all records in the login events of all industries in the past 180 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_login_g_30day	NUMBER	The maximum time interval of all records in all industries in the last 30 natural days with gaid
events_gaid_timediff_login_g_30day_avg	NUMBER	The average time interval between all records in the login events of all industries in the past 30 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_login_g_365day	NUMBER	The maximum time interval of all records in all industries in the last 365 natural days with gaid
events_gaid_timediff_login_g_365day_avg	NUMBER	The average time interval between all records in the login events of all industries in the past 365 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_login_g_60day	NUMBER	The maximum time interval of all records in all industries logged in events in the last 60 natural days.
events_gaid_timediff_login_g_60day_avg	NUMBER	The average time interval between all records in the login events of all industries in the past 60 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_gaid_timediff_login_g_90day	NUMBER	The maximum time interval of all records in all industries in the last 90 natural days with gaid
events_gaid_timediff_login_g_90day_avg	NUMBER	The average time interval between all records in the login events of all industries in the past 90 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_i2m_partner_all_g_15day_d_count	NUMBER	The number of different platforms in all events in the industry within 15 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_all_g_15day_l1imbank_d_count	NUMBER	The number of different platforms in all events in the non-bank financial industry within 15 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_all_g_180day_d_count	NUMBER	The number of different platforms in all events in the industry within 180 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_all_g_180day_l1imbank_d_count	NUMBER	The number of different platforms in all events in the non-bank financial industry within 180 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_all_g_30day_d_count	NUMBER	The number of different platforms in all events in the industry within 30 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_all_g_30day_l1imbank_d_count	NUMBER	The number of different platforms in all events in the non-bank financial industry within 30 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_all_g_365day_d_count	NUMBER	The number of different platforms in all events in the industry within 365 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_all_g_365day_l1imbank_d_count	NUMBER	The number of different platforms in all events in the non-bank financial industry within 365 natural days associated with ID cards and mobile phone numbers
events_i2m_partner_all_g_60day_d_count	NUMBER	The number of different platforms in all events in the industry within 60 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_all_g_60day_l1imbank_d_count	NUMBER	The number of different platforms in all events in the non-bank financial industry within 60 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_all_g_90day_d_count	NUMBER	The number of different platforms in all events in the industry within 90 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_all_g_90day_l1imbank_d_count	NUMBER	The number of different platforms in all events in the non-bank financial industry within 90 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_disburse_g_15day_d_count	NUMBER	The number of different platforms in the industry's credit-using events associated with ID cards and mobile phone numbers within 15 natural days
events_i2m_partner_disburse_g_15day_l1imbank_d_count	NUMBER	The number of different platforms in the non-bank financial industry credit events associated with ID cards and mobile phone numbers within 15 natural days
events_i2m_partner_disburse_g_180day_d_count	NUMBER	The number of different platforms in the industry's credit-using events within 180 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_disburse_g_180day_l1imbank_d_count	NUMBER	The number of different platforms in the credit-using events in the non-bank financial industry within 180 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_disburse_g_30day_d_count	NUMBER	The number of different platforms in the industry's credit-using events within 30 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_disburse_g_30day_l1imbank_d_count	NUMBER	The number of different platforms in the non-bank financial industry credit events associated with ID cards and mobile phone numbers within 30 natural days
events_i2m_partner_disburse_g_365day_d_count	NUMBER	The number of different platforms in the industry's credit-using events associated with ID cards and mobile phone numbers within 365 natural days
events_i2m_partner_disburse_g_365day_l1imbank_d_count	NUMBER	The number of different platforms in the credit-using events in the non-bank financial industry within 365 natural days associated with the ID card and mobile phone number
events_i2m_partner_disburse_g_60day_d_count	NUMBER	The number of different platforms in the industry's credit-using events within 60 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_disburse_g_60day_l1imbank_d_count	NUMBER	The number of different platforms in the credit-using events in the non-bank financial industry within 60 natural days that are associated with the ID card and mobile phone number
events_i2m_partner_disburse_g_90day_d_count	NUMBER	The number of different platforms in the industry's credit-using events within 90 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_disburse_g_90day_l1imbank_d_count	NUMBER	The number of different platforms in the credit-using events in the non-bank financial industry within 90 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_idv_g_15day_d_count	NUMBER	The number of different platforms in the industry's identity authentication events associated with ID cards and mobile phone numbers within 15 natural days
events_i2m_partner_idv_g_15day_l1imbank_d_count	NUMBER	Number of different platforms in identity authentication events in the non-bank financial industry within 15 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_idv_g_180day_d_count	NUMBER	The number of different platforms in the industry's identity authentication events associated with ID cards and mobile phone numbers within 180 natural days
events_i2m_partner_idv_g_180day_l1imbank_d_count	NUMBER	The number of different platforms in identity authentication events in the non-bank financial industry within 180 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_idv_g_30day_d_count	NUMBER	The number of different platforms in the industry's identity authentication events associated with ID cards and mobile phone numbers within 30 natural days
events_i2m_partner_idv_g_30day_l1imbank_d_count	NUMBER	The number of different platforms in identity authentication events in the non-bank financial industry within 30 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_idv_g_365day_d_count	NUMBER	The number of different platforms in the identity authentication events in the industry within 365 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_idv_g_365day_l1imbank_d_count	NUMBER	The number of different platforms in identity authentication events in the non-bank financial industry within 365 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_idv_g_60day_d_count	NUMBER	The number of different platforms in the industry's identity authentication events associated with ID cards and mobile phone numbers within 60 natural days
events_i2m_partner_idv_g_60day_l1imbank_d_count	NUMBER	The number of different platforms in identity authentication events in the non-bank financial industry within 60 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_idv_g_90day_d_count	NUMBER	The number of different platforms in the industry's identity authentication events associated with ID cards and mobile phone numbers within 90 natural days
events_i2m_partner_idv_g_90day_l1imbank_d_count	NUMBER	The number of different platforms in identity authentication events in the non-bank financial industry within 90 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_loan_g_15day_d_count	NUMBER	The number of different platforms in the credit granting event in the industry within 15 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_loan_g_15day_l1imbank_d_count	NUMBER	The number of different platforms in the credit granting events in the non-bank financial industry within 15 natural days that are associated with the ID card and mobile phone number
events_i2m_partner_loan_g_180day_d_count	NUMBER	The number of different platforms in the industry's credit granting events within 180 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_loan_g_180day_l1imbank_d_count	NUMBER	The number of different platforms in the credit granting events in the non-bank financial industry within 180 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_loan_g_30day_d_count	NUMBER	The number of different platforms in the industry's credit granting events within 30 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_loan_g_30day_l1imbank_d_count	NUMBER	The number of different platforms in the credit granting events in the non-bank financial industry within 30 natural days that are associated with the ID card and mobile phone number
events_i2m_partner_loan_g_365day_d_count	NUMBER	The number of different platforms in the credit granting events in the industry within 365 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_loan_g_365day_l1imbank_d_count	NUMBER	The number of different platforms in the credit granting events in the non-bank financial industry within 365 natural days associated with the ID card and mobile phone number
events_i2m_partner_loan_g_60day_d_count	NUMBER	The number of different platforms in the industry's credit granting events within 60 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_loan_g_60day_l1imbank_d_count	NUMBER	The number of different platforms in the credit granting events in the non-bank financial industry within 60 natural days that are associated with the ID card and mobile phone number
events_i2m_partner_loan_g_90day_d_count	NUMBER	The number of different platforms in the industry's credit granting events within 90 natural days that are associated with ID cards and mobile phone numbers
events_i2m_partner_loan_g_90day_l1imbank_d_count	NUMBER	The number of different platforms in the credit granting events in the non-bank financial industry within 90 natural days that are associated with the ID card and mobile phone number
events_i2m_partner_login_g_15day_d_count	NUMBER	The number of different platforms in the industry-wide login events associated with ID cards and mobile phone numbers within 15 natural days
events_i2m_partner_login_g_15day_l1imbank_d_count	NUMBER	Number of different platforms in the login events in the non-bank financial industry within 15 natural days associated with the ID card and mobile phone number
events_i2m_partner_login_g_180day_d_count	NUMBER	The number of different platforms in the industry-wide login events associated with ID cards and mobile phone numbers within 180 natural days
events_i2m_partner_login_g_180day_l1imbank_d_count	NUMBER	Number of different platforms in the login events of non-bank financial industry associated with ID card and mobile phone number within 180 natural days
events_i2m_partner_login_g_30day_d_count	NUMBER	The number of different platforms in the industry-wide login events associated with ID cards and mobile phone numbers within 30 natural days
events_i2m_partner_login_g_30day_l1imbank_d_count	NUMBER	Number of different platforms in the non-bank financial industry login events associated with ID cards and mobile phone numbers within 30 natural days
events_i2m_partner_login_g_365day_d_count	NUMBER	The number of different platforms in the login events of all industries associated with ID cards and mobile phone numbers within 365 natural days
events_i2m_partner_login_g_365day_l1imbank_d_count	NUMBER	Number of different platforms in the login events of non-bank financial industry associated with ID card and mobile phone number within 365 natural days
events_i2m_partner_login_g_60day_d_count	NUMBER	The number of different platforms in the industry-wide login events associated with ID cards and mobile phone numbers within 60 natural days
events_i2m_partner_login_g_60day_l1imbank_d_count	NUMBER	Number of different platforms in the login events in the non-bank financial industry within 60 natural days associated with the ID card and mobile phone number
events_i2m_partner_login_g_90day_d_count	NUMBER	The number of different platforms in the industry-wide login events associated with ID cards and mobile phone numbers within 90 natural days
events_i2m_partner_login_g_90day_l1imbank_d_count	NUMBER	Number of different platforms in the non-bank financial industry login events associated with ID cards and mobile phone numbers within 90 natural days
events_i_abnormaltags_all_g_30day_d_count	NUMBER	The number of deduplicated ID card-related risk device environment risk tags in the past 30 days
events_i_abnormaltags_all_g_7day_d_count	NUMBER	The number of deduplicated ID card-related risk device environment risk tags in the past 7 days
events_i_accept_all_g_15day_ratio	NUMBER	The percentage of records with the decision result of accept in all industries and all events within 15 natural days associated with the ID card
events_i_accept_all_g_180day_ratio	NUMBER	The percentage of records with the decision result of "accept" in all industries and all events within 180 natural days associated with the ID card
events_i_accept_all_g_30day_ratio	NUMBER	The percentage of records with the decision result of accept in all industries and all events within 30 natural days associated with the ID card
events_i_accept_all_g_365day_ratio	NUMBER	The percentage of records with the decision result of "accept" in all industries and all events within 365 natural days associated with the ID card
events_i_accept_all_g_60day_ratio	NUMBER	The percentage of records with the decision result of "accept" in all industries and all events within 60 natural days associated with the ID card
events_i_accept_all_g_90day_ratio	NUMBER	The percentage of records with the decision result of accept in all industries and all events within 90 natural days associated with the ID card
events_i_all_g_15day_accept_count	NUMBER	The number of times the ID card is associated with the Accept keyword in all policy sets within 15 days.
events_i_all_g_15day_count	NUMBER	Number of times the ID card number appears in all events in the industry in the past 15 natural days
events_i_all_g_15day_daytime_count	NUMBER	The number of records that occurred during the day in all industries and all events within 15 days associated with the ID card
events_i_all_g_15day_daytime_ratio	NUMBER	The proportion of all events in the industry that occurred during the daytime within 15 natural days associated with the ID card
events_i_all_g_15day_l1imbank_count	NUMBER	The number of times the ID card number has occurred in all events in the non-bank financial industry in the past 15 natural days
events_i_all_g_15day_l1imbank_daytime_count	NUMBER	The number of events in the non-bank financial industry that occurred during the day within 15 days associated with the ID card
events_i_all_g_15day_l1imbank_daytime_ratio	NUMBER	The proportion of all events in the non-bank financial industry associated with the ID card that occurred during the day within 15 natural days
events_i_all_g_15day_reject_count	NUMBER	The number of times the decision result of the ID card number is Reject in the past 15 natural days
events_i_all_g_15day_review_count	NUMBER	The number of records with a decision result of review within 15 days associated with the ID card
events_i_all_g_15day_workday_count	NUMBER	The number of events that occurred on weekdays in all industries within 15 days associated with the ID card
events_i_all_g_15day_workday_ratio	NUMBER	The proportion of all events in the industry within 15 natural days that occurred on working days
events_i_all_g_180day_accept_count	NUMBER	Number of times the ID card is associated with the Accept keyword in all policy sets within 180 days
events_i_all_g_180day_count	NUMBER	Number of times the ID card number appears in all events in the industry within the past 180 natural days
events_i_all_g_180day_daytime_count	NUMBER	The number of records that occurred during the day in all industries and all events within 180 days associated with the ID card
events_i_all_g_180day_daytime_ratio	NUMBER	The proportion of all events in the industry within 180 natural days that occurred during the daytime
events_i_all_g_180day_l1imbank_count	NUMBER	The number of times the ID card number has occurred in all events in the non-bank financial industry in the past 180 natural days
events_i_all_g_180day_l1imbank_daytime_count	NUMBER	The number of events in the non-bank financial industry that occurred during the day within 180 days associated with the ID card
events_i_all_g_180day_l1imbank_daytime_ratio	NUMBER	The proportion of all events in the non-bank financial industry associated with the ID card that occurred during the day within 180 natural days
events_i_all_g_180day_reject_count	NUMBER	The number of times the decision result of the ID card number is Reject in the past 180 natural days
events_i_all_g_180day_review_count	NUMBER	Number of records with a decision result of review within 180 days associated with the ID card
events_i_all_g_180day_workday_count	NUMBER	The number of events that occurred on working days in all industries within 180 days associated with the ID card
events_i_all_g_180day_workday_ratio	NUMBER	The proportion of all events in the industry within 180 natural days that occurred on working days
events_i_all_g_30day_accept_count	NUMBER	The number of times the ID card is associated with the Accept keyword in all policy sets within 30 days.
events_i_all_g_30day_count	NUMBER	The number of times the ID card number appears in all events in the industry within the past 30 natural days
events_i_all_g_30day_daytime_count	NUMBER	The number of records that occurred during the day in all industries and all events within 30 days associated with the ID card
events_i_all_g_30day_daytime_ratio	NUMBER	The proportion of all events in the industry within 30 natural days that occurred during the daytime
events_i_all_g_30day_l1imbank_count	NUMBER	The number of times the ID card number has occurred in all events in the non-bank financial industry in the past 30 natural days
events_i_all_g_30day_l1imbank_daytime_count	NUMBER	The number of events in the non-bank financial industry that occurred during the day within 30 days associated with the ID card
events_i_all_g_30day_l1imbank_daytime_ratio	NUMBER	The proportion of all events in the non-bank financial industry associated with the ID card that occurred during the day within 30 natural days
events_i_all_g_30day_reject_count	NUMBER	The number of times the decision result of the ID card number is Rejected in the past 30 natural days
events_i_all_g_30day_review_count	NUMBER	The number of records with a decision result of review within 30 days associated with the ID card
events_i_all_g_30day_workday_count	NUMBER	The number of events that occurred on weekdays in all industries within 30 days associated with the ID card
events_i_all_g_30day_workday_ratio	NUMBER	The proportion of all events in the industry within 30 natural days that occurred on working days.
events_i_all_g_365day_accept_count	NUMBER	The number of times the ID card is associated with the Accept keyword in all policy sets within 365 days.
events_i_all_g_365day_count	NUMBER	Number of times the ID card number appears in all events in the industry in the past 365 natural days
events_i_all_g_365day_daytime_count	NUMBER	The number of records associated with the ID card that occurred during the day in all industries and all events within 365 days
events_i_all_g_365day_daytime_ratio	NUMBER	The proportion of all events in the industry that occurred during the daytime within 365 natural days associated with the ID card
events_i_all_g_365day_l1imbank_count	NUMBER	The number of times the ID card number has occurred in all events in the non-bank financial industry in the past 365 natural days
events_i_all_g_365day_l1imbank_daytime_count	NUMBER	The number of events in the non-bank financial industry that occurred during the day within 365 days associated with the ID card
events_i_all_g_365day_l1imbank_daytime_ratio	NUMBER	The proportion of all events in the non-bank financial industry associated with the ID card that occurred during the day within 365 natural days
events_i_all_g_365day_reject_count	NUMBER	The number of times the decision result of the ID card number is Reject in the past 365 natural days
events_i_all_g_365day_review_count	NUMBER	The number of records with a decision result of review within 365 days associated with the ID card
events_i_all_g_365day_workday_count	NUMBER	The number of events that occurred on working days in all industries within 365 days associated with the ID card
events_i_all_g_365day_workday_ratio	NUMBER	The proportion of all events in the industry that occurred on working days within 365 natural days associated with the ID card
events_i_all_g_60day_accept_count	NUMBER	The number of times the ID card is associated with the Accept keyword in all policy sets within 60 days.
events_i_all_g_60day_count	NUMBER	The number of times the ID card number appears in all events in the industry within the past 60 natural days
events_i_all_g_60day_daytime_count	NUMBER	The number of records that occurred during the day in all industries and all events within 60 days associated with the ID card
events_i_all_g_60day_daytime_ratio	NUMBER	The proportion of all events in the industry within 60 natural days that occurred during the daytime
events_i_all_g_60day_l1imbank_count	NUMBER	The number of times the ID card number has occurred in all events in the non-bank financial industry in the past 60 natural days
events_i_all_g_60day_l1imbank_daytime_count	NUMBER	The number of events that occurred during the day in the non-bank financial industry within 60 days associated with the ID card
events_i_all_g_60day_l1imbank_daytime_ratio	NUMBER	The proportion of all events in the non-bank financial industry associated with the ID card that occurred during the day within 60 natural days
events_i_all_g_60day_reject_count	NUMBER	The number of times the decision result of the ID card number is Reject in the past 60 natural days
events_i_all_g_60day_review_count	NUMBER	The number of records with a decision result of review within 60 days associated with the ID card
events_i_all_g_60day_workday_count	NUMBER	The number of events that occurred on working days in all industries within the past 60 days associated with the ID card
events_i_all_g_60day_workday_ratio	NUMBER	The proportion of all events in the industry within 60 natural days that occurred on working days
events_i_all_g_90day_accept_count	NUMBER	The number of times the ID card is associated with the Accept keyword in all policy sets within 90 days.
events_i_all_g_90day_count	NUMBER	Number of times the ID card number appears in all events in the industry within the past 90 natural days
events_i_all_g_90day_daytime_count	NUMBER	The number of records that occurred during the day in all industries and all events within 90 days associated with the ID card
events_i_all_g_90day_daytime_ratio	NUMBER	The proportion of all events in the industry within 90 natural days that occurred during the daytime
events_i_all_g_90day_l1imbank_count	NUMBER	The number of times the ID card number has occurred in all events in the non-bank financial industry in the past 90 natural days
events_i_all_g_90day_l1imbank_daytime_count	NUMBER	The number of events that occurred during the day in the non-bank financial industry within 90 days associated with the ID card
events_i_all_g_90day_l1imbank_daytime_ratio	NUMBER	The proportion of all events in the non-bank financial industry associated with the ID card that occurred during the day within 90 natural days
events_i_all_g_90day_reject_count	NUMBER	The number of times the decision result of the ID card number is Rejected in the past 90 natural days
events_i_all_g_90day_review_count	NUMBER	The number of records with a decision result of review within 90 days associated with the ID card
events_i_all_g_90day_workday_count	NUMBER	The number of events that occurred on working days in all industries within the past 90 days associated with the ID card
events_i_all_g_90day_workday_ratio	NUMBER	The proportion of all events in the industry within 90 natural days that occurred on working days.
events_i_apptype_all_g_15day_count	NUMBER	Number of app types in all events in all industries within 15 days associated with the ID card
events_i_apptype_all_g_15day_d_count	NUMBER	The number of app types in all events in the industry within 15 days associated with the ID card
events_i_apptype_all_g_180day_count	NUMBER	Number of app types in all events in the industry within 180 days associated with the ID card
events_i_apptype_all_g_180day_d_count	NUMBER	The number of app types in all events in the industry within 180 days associated with the ID card
events_i_apptype_all_g_30day_count	NUMBER	Number of app types in all events in all industries within 30 days associated with the ID card
events_i_apptype_all_g_30day_d_count	NUMBER	The number of app types in all events in the industry within 30 days associated with the ID card
events_i_apptype_all_g_365day_count	NUMBER	Number of app types in all events in all industries within 365 days associated with the ID card
events_i_apptype_all_g_365day_d_count	NUMBER	The number of app types in all events in all industries within 365 days associated with the ID card
events_i_apptype_all_g_60day_count	NUMBER	Number of app types in all events in all industries within 60 days associated with the ID card
events_i_apptype_all_g_60day_d_count	NUMBER	The number of app types in all events in the industry within 60 days associated with the ID card
events_i_apptype_all_g_90day_count	NUMBER	Number of app types in all events in all industries within 90 days associated with the ID card
events_i_apptype_all_g_90day_d_count	NUMBER	The number of app types in all events in the industry within 90 days associated with the ID card
events_i_cv_30day_partner_all_g_180day_d_count	NUMBER	The coefficient of variation of the number of platforms in the 30 days of all events in the industry within 180 days associated with the ID card
events_i_cv_30day_partner_all_g_365day_d_count	NUMBER	The coefficient of variation of the number of platforms in 30 days in all events in all industries within 365 days associated with the ID card
events_i_cv_30day_partner_all_g_60day_d_count	NUMBER	The coefficient of variation of the number of platforms in the 30 days of all events in the industry within 60 days associated with the ID card
events_i_cv_30day_partner_all_g_90day_d_count	NUMBER	The coefficient of variation of the number of platforms in the 30 days of all events in the industry within 90 days associated with the ID card
events_i_d_all_g_30day_d_count	NUMBER	The number of deduplicated devices associated with ID cards in the past 30 days
events_i_d_all_g_30day_riskdev_d_count	NUMBER	The number of deduplicated risk devices associated with ID cards in the past 30 days
events_i_d_all_g_7day_d_count	NUMBER	The number of deduplicated devices associated with ID cards in the past 7 days
events_i_d_all_g_7day_riskdev_d_count	NUMBER	The number of deduplicated risk devices associated with ID cards in the past 7 days
events_i_d_count_10day_partner_all_g_180day_l1imbank_avg	NUMBER	The average number of platforms in all events in the non-bank financial industry within 180 days associated with the ID card
events_i_d_count_10day_partner_all_g_30day_l1imbank_avg	NUMBER	The average number of platforms in all events in the non-bank financial industry within 30 days associated with the ID card
events_i_d_count_10day_partner_all_g_365day_l1imbank_avg	NUMBER	The average number of platforms in the 10 days of all events in the non-bank financial industry within 365 days associated with the ID card
events_i_d_count_10day_partner_all_g_60day_l1imbank_avg	NUMBER	The average number of platforms in all events in the non-bank financial industry within 60 days associated with the ID card
events_i_d_count_10day_partner_all_g_90day_l1imbank_avg	NUMBER	The average number of platforms in all events in the non-bank financial industry within 90 days associated with the ID card
events_i_d_count_10day_partner_disburse_g_180day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day credit-using events in the non-bank financial industry linked to the ID card within 180 days
events_i_d_count_10day_partner_disburse_g_30day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day credit-using events in the non-bank financial industry linked to the ID card within 30 days
events_i_d_count_10day_partner_disburse_g_365day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day credit-using events in the non-bank financial industry linked to the ID card within 365 days
events_i_d_count_10day_partner_disburse_g_60day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day credit-using events in the non-bank financial industry within 60 days associated with the ID card
events_i_d_count_10day_partner_disburse_g_90day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day credit-using events in the non-bank financial industry linked to the ID card within 90 days
events_i_d_count_10day_partner_idv_g_180day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day period of identity authentication events in the non-bank financial industry linked to the ID card within 180 days
events_i_d_count_10day_partner_idv_g_30day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day period for identity authentication events in the non-bank financial industry linked to the ID card within 30 days
events_i_d_count_10day_partner_idv_g_365day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day period of identity authentication events in the non-bank financial industry linked to the ID card within 365 days
events_i_d_count_10day_partner_idv_g_60day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day period of identity authentication events in the non-bank financial industry linked to the ID card within 60 days
events_i_d_count_10day_partner_idv_g_90day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day period for identity authentication events in the non-bank financial industry linked to the ID card within 90 days
events_i_d_count_10day_partner_loan_g_180day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day credit granting events in the non-bank financial industry within 180 days associated with the ID card
events_i_d_count_10day_partner_loan_g_30day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day credit granting events in the non-bank financial industry within 30 days associated with the ID card
events_i_d_count_10day_partner_loan_g_365day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day credit granting events in the non-bank financial industry within 365 days associated with the ID card
events_i_d_count_10day_partner_loan_g_60day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day credit granting events in the non-bank financial industry within 60 days associated with the ID card
events_i_d_count_10day_partner_loan_g_90day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day credit granting events in the non-bank financial industry within 90 days associated with the ID card
events_i_d_count_10day_partner_login_g_180day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day period of login events in the non-bank financial industry linked to the ID card within 180 days
events_i_d_count_10day_partner_login_g_30day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day period of login events in the non-bank financial industry linked to the ID card within 30 days
events_i_d_count_10day_partner_login_g_365day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day period of login events in the non-bank financial industry linked to the ID card within 365 days
events_i_d_count_10day_partner_login_g_60day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day period of login events in the non-bank financial industry linked to the ID card within 60 days
events_i_d_count_10day_partner_login_g_90day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day period of login events in the non-bank financial industry linked to the ID card within 90 days
events_i_d_count_partner_disburse_g_180day_ratio	NUMBER	The ratio of the number of different platforms in the industry's credit card use events in the past 30 natural days to the number of different platforms in the industry's credit card use events in 30-180 natural days
events_i_d_count_partner_disburse_g_365day_ratio	NUMBER	The ratio of the number of different platforms in the industry's credit card use events in the past 30 natural days to the number of different platforms in the industry's credit card use events in 30-365 natural days
events_i_d_count_partner_disburse_g_60day_ratio	NUMBER	The ratio of the number of different platforms in the industry's credit card use events in the past 30 natural days to the number of different platforms in the industry's credit card use events in 30-60 natural days
events_i_d_count_partner_disburse_g_90day_ratio	NUMBER	The ratio of the number of different platforms in the industry's credit card use events in the past 30 natural days to the number of different platforms in the industry's credit card use events in the past 30-90 natural days
events_i_d_count_partner_loan_g_180day_ratio	NUMBER	The ratio of the number of different platforms in the credit granting events in the industry within the past 30 natural days to the number of different platforms in the credit granting events in the industry within 30-180 natural days.
events_i_d_count_partner_loan_g_365day_ratio	NUMBER	The ratio of the number of different platforms in the credit granting events in the industry within the past 30 natural days to the number of different platforms in the credit granting events in the industry within 30-365 natural days.
events_i_d_count_partner_loan_g_60day_ratio	NUMBER	The ratio of the number of different platforms in the credit granting events in the industry within the past 30 natural days to the number of different platforms in the credit granting events in the industry within 30-60 natural days.
events_i_d_count_partner_loan_g_90day_ratio	NUMBER	The ratio of the number of different platforms in the credit granting events in the industry within the past 30 natural days to the number of different platforms in the credit granting events in the industry within 30-90 natural days.
events_i_d_count_partner_login_g_180day_ratio	NUMBER	The ratio of the number of different platforms in the login events of all industries in the past 30 natural days to the number of different platforms in the login events of all industries in the past 30-180 natural days.
events_i_d_count_partner_login_g_365day_ratio	NUMBER	The ratio of the number of different platforms in the login events of all industries in the past 30 natural days to the number of different platforms in the login events of all industries in the past 30-365 natural days.
events_i_d_count_partner_login_g_60day_ratio	NUMBER	The ratio of the number of different platforms in the login events of all industries in the past 30 natural days to the number of different platforms in the login events of all industries in the past 30-60 natural days.
events_i_d_count_partner_login_g_90day_ratio	NUMBER	The ratio of the number of different platforms in the login events of all industries in the past 30 natural days to the number of different platforms in the login events of all industries in the past 30-90 natural days.
events_i_daydiff_disburse_g_15day_l1imbank_max	NUMBER	The maximum record interval (in days) of credit card usage events in the non-bank financial industry within 15 days associated with the ID card
events_i_daydiff_disburse_g_15day_l1imbank_min	NUMBER	Minimum record interval (days) for credit card-related non-bank financial industry credit events within 15 days
events_i_daydiff_disburse_g_180day_l1imbank_max	NUMBER	The maximum record interval (in days) of credit events in the non-bank financial industry within 180 days associated with the ID card
events_i_daydiff_disburse_g_180day_l1imbank_min	NUMBER	Minimum record interval (days) of credit events in non-bank financial industry within 180 days associated with ID card
events_i_daydiff_disburse_g_30day_l1imbank_max	NUMBER	The maximum record interval (in days) of credit events in the non-bank financial industry within 30 days associated with the ID card
events_i_daydiff_disburse_g_30day_l1imbank_min	NUMBER	Minimum record interval (days) of credit events in non-bank financial industry within 30 days associated with ID card
events_i_daydiff_disburse_g_365day_l1imbank_max	NUMBER	The maximum record interval (in days) of credit events in the non-bank financial industry within 365 days associated with the ID card
events_i_daydiff_disburse_g_365day_l1imbank_min	NUMBER	Minimum record interval (days) of credit events in non-bank financial industry within 365 days associated with ID card
events_i_daydiff_disburse_g_60day_l1imbank_max	NUMBER	The maximum record interval (in days) of credit events in the non-bank financial industry within 60 days associated with the ID card
events_i_daydiff_disburse_g_60day_l1imbank_min	NUMBER	Minimum record interval (days) of credit events in non-bank financial industry within 60 days associated with ID card
events_i_daydiff_disburse_g_90day_l1imbank_max	NUMBER	The maximum record interval (in days) of credit events in the non-bank financial industry within 90 days associated with the ID card
events_i_daydiff_disburse_g_90day_l1imbank_min	NUMBER	Minimum record interval (days) of credit events in non-bank financial industry within 90 days associated with ID card
events_i_daydiff_first_disburse_g_15day	NUMBER	The number of days from the current date to the first record of credit card usage events in all industries within 15 days associated with the ID card
events_i_daydiff_first_disburse_g_180day	NUMBER	The number of days from the current time to the first record of credit events in all industries within 180 days associated with the ID card
events_i_daydiff_first_disburse_g_30day	NUMBER	The number of days from the current time to the first record of credit events in all industries within 30 days associated with the ID card
events_i_daydiff_first_disburse_g_365day	NUMBER	The number of days from the current time to the first record of credit events in all industries within 365 days associated with the ID card
events_i_daydiff_first_disburse_g_60day	NUMBER	The number of days from the current date to the first record of credit card usage events in all industries within 60 days associated with the ID card
events_i_daydiff_first_disburse_g_90day	NUMBER	The number of days from the current time to the first record of credit card usage events in all industries within 90 days associated with the ID card
events_i_daydiff_first_idv_g_15day	NUMBER	The number of days from the current time to the first record of identity authentication events in all industries within 15 days associated with the ID card
events_i_daydiff_first_idv_g_180day	NUMBER	The number of days from the current time to the first record of identity authentication events in all industries within 180 days associated with the ID card
events_i_daydiff_first_idv_g_30day	NUMBER	The number of days from the current time to the first record of identity authentication events in all industries within 30 days associated with the ID card
events_i_daydiff_first_idv_g_365day	NUMBER	The number of days from the current time to the first record of identity authentication events in all industries within 365 days associated with the ID card
events_i_daydiff_first_idv_g_60day	NUMBER	The number of days from the current time to the first record of identity authentication events in all industries within 60 days associated with the ID card
events_i_daydiff_first_idv_g_90day	NUMBER	The number of days from the current time to the first record of identity authentication events in all industries within 90 days associated with the ID card
events_i_daydiff_first_last_all_g_15day	NUMBER	The number of days between the first record and the last record of all events in the industry within 15 days associated with the ID card
events_i_daydiff_first_last_all_g_180day	NUMBER	The number of days between the first record and the last record of all events in the industry within 180 days associated with the ID card
events_i_daydiff_first_last_all_g_30day	NUMBER	The number of days between the first record and the last record of all events in the industry within 30 days associated with the ID card
events_i_daydiff_first_last_all_g_365day	NUMBER	The number of days between the first record and the last record of all events in the industry within 365 days associated with the ID card
events_i_daydiff_first_last_all_g_60day	NUMBER	The number of days between the first record and the last record of all events in the industry within 60 days associated with the ID card
events_i_daydiff_first_last_all_g_90day	NUMBER	The number of days between the first record and the last record of all events in the industry within 90 days associated with the ID card
events_i_daydiff_first_last_disburse_g_15day_l1imbank	NUMBER	The number of days between the first record and the last record in the credit event of the non-bank financial industry within 15 days associated with the ID card
events_i_daydiff_first_last_disburse_g_180day_l1imbank	NUMBER	The number of days between the first record and the last record in the credit event of the non-bank financial industry within 180 days associated with the ID card
events_i_daydiff_first_last_disburse_g_30day_l1imbank	NUMBER	The number of days between the first record and the last record in the credit event of the non-bank financial industry within 30 days associated with the ID card
events_i_daydiff_first_last_disburse_g_365day_l1imbank	NUMBER	The number of days between the first record and the last record in the credit event of the non-bank financial industry within 365 days associated with the ID card
events_i_daydiff_first_last_disburse_g_60day_l1imbank	NUMBER	The number of days between the first record and the last record in the credit event of the non-bank financial industry within 60 days associated with the ID card
events_i_daydiff_first_last_disburse_g_90day_l1imbank	NUMBER	The number of days between the first record and the last record in the credit event of the non-bank financial industry within 90 days associated with the ID card
events_i_daydiff_first_last_idv_g_15day_l1imbank	NUMBER	The number of days between the first record and the last record in the identity authentication event in the non-bank financial industry within 15 days associated with the ID card
events_i_daydiff_first_last_idv_g_180day_l1imbank	NUMBER	The number of days between the first record and the last record in the identity authentication event in the non-bank financial industry within 180 days associated with the ID card
events_i_daydiff_first_last_idv_g_30day_l1imbank	NUMBER	The number of days between the first record and the last record in the identity authentication event in the non-bank financial industry within 30 days associated with the ID card
events_i_daydiff_first_last_idv_g_365day_l1imbank	NUMBER	The number of days between the first record and the last record in the identity authentication event in the non-bank financial industry within 365 days associated with the ID card
events_i_daydiff_first_last_idv_g_60day_l1imbank	NUMBER	The number of days between the first record and the last record in the identity authentication event in the non-bank financial industry within 60 days associated with the ID card
events_i_daydiff_first_last_idv_g_90day_l1imbank	NUMBER	The number of days between the first record and the last record in the identity authentication event in the non-bank financial industry within 90 days associated with the ID card
events_i_daydiff_first_last_loan_g_15day_l1imbank	NUMBER	The number of days between the first record and the last record in the credit event of the non-bank financial industry within 15 days associated with the ID card
events_i_daydiff_first_last_loan_g_180day_l1imbank	NUMBER	The number of days between the first record and the last record in the credit event of the non-bank financial industry within 180 days associated with the ID card
events_i_daydiff_first_last_loan_g_30day_l1imbank	NUMBER	The number of days between the first record and the last record in the credit event of the non-bank financial industry within 30 days associated with the ID card
events_i_daydiff_first_last_loan_g_365day_l1imbank	NUMBER	The number of days between the first record and the last record in the credit event of the non-bank financial industry within 365 days associated with the ID card
events_i_daydiff_first_last_loan_g_60day_l1imbank	NUMBER	The number of days between the first record and the last record in the credit event of the non-bank financial industry within 60 days associated with the ID card
events_i_daydiff_first_last_loan_g_90day_l1imbank	NUMBER	The number of days between the first record and the last record in the credit event of the non-bank financial industry within 90 days associated with the ID card
events_i_daydiff_first_last_login_g_15day_l1imbank	NUMBER	The number of days between the first record and the last record in the login event of the non-bank financial industry within 15 days associated with the ID card
events_i_daydiff_first_last_login_g_180day_l1imbank	NUMBER	The number of days between the first record and the last record in the login event of the non-bank financial industry within 180 days associated with the ID card
events_i_daydiff_first_last_login_g_30day_l1imbank	NUMBER	The number of days between the first and last record of login events in the non-bank financial industry within 30 days associated with the ID card
events_i_daydiff_first_last_login_g_365day_l1imbank	NUMBER	The number of days between the first and last record of login events in the non-bank financial industry within 365 days associated with the ID card
events_i_daydiff_first_last_login_g_60day_l1imbank	NUMBER	The number of days between the first record and the last record in the login event of the non-bank financial industry within 60 days associated with the ID card
events_i_daydiff_first_last_login_g_90day_l1imbank	NUMBER	The number of days between the first and last record of login events in the non-bank financial industry within 90 days associated with the ID card
events_i_daydiff_first_loan_g_15day	NUMBER	The number of days from the first record of credit events in all industries within 15 days associated with the ID card to the current day
events_i_daydiff_first_loan_g_180day	NUMBER	The number of days from the first record of credit events in all industries within 180 days associated with the ID card to the current day
events_i_daydiff_first_loan_g_30day	NUMBER	The number of days from the first record of credit events in all industries within 30 days associated with the ID card to the current day
events_i_daydiff_first_loan_g_365day	NUMBER	The number of days from the first record of credit events in all industries within 365 days associated with the ID card to the current day
events_i_daydiff_first_loan_g_60day	NUMBER	The number of days from the first record of credit events in all industries within 60 days associated with the ID card to the current day
events_i_daydiff_first_loan_g_90day	NUMBER	The number of days from the current date to the first record of credit events in all industries within 90 days associated with the ID card
events_i_daydiff_first_login_g_15day	NUMBER	The number of days from the current time to the first record of login events in all industries within 15 days associated with the ID card
events_i_daydiff_first_login_g_180day	NUMBER	The number of days from the first login event in all industries associated with the ID card within 180 days to the current day
events_i_daydiff_first_login_g_30day	NUMBER	The number of days from the current time to the first record of login events in all industries within 30 days associated with the ID card
events_i_daydiff_first_login_g_365day	NUMBER	The number of days from the first login event in all industries associated with the ID card within 365 days to the current day
events_i_daydiff_first_login_g_60day	NUMBER	The number of days from the current time to the first record of login events in all industries within 60 days associated with the ID card
events_i_daydiff_first_login_g_90day	NUMBER	The number of days from the current time to the first record of login events in all industries within 90 days associated with the ID card
events_i_daydiff_idv_g_15day_l1imbank_max	NUMBER	The maximum record interval (in days) of identity authentication events in the non-bank financial industry within 15 days associated with the ID card
events_i_daydiff_idv_g_15day_l1imbank_min	NUMBER	Minimum record interval (days) for identity authentication events in the non-bank financial industry within 15 days associated with the ID card
events_i_daydiff_idv_g_180day_l1imbank_max	NUMBER	The maximum record interval (in days) of identity authentication events in the non-bank financial industry within 180 days associated with the ID card
events_i_daydiff_idv_g_180day_l1imbank_min	NUMBER	Minimum record interval (days) for identity authentication events in the non-bank financial industry within 180 days associated with the ID card
events_i_daydiff_idv_g_30day_l1imbank_max	NUMBER	The maximum record interval (in days) of identity authentication events in the non-bank financial industry within 30 days associated with the ID card
events_i_daydiff_idv_g_30day_l1imbank_min	NUMBER	Minimum record interval (days) for identity authentication events in the non-bank financial industry within 30 days associated with the ID card
events_i_daydiff_idv_g_365day_l1imbank_max	NUMBER	The maximum recording interval (in days) of identity authentication events in the non-bank financial industry within 365 days associated with the ID card
events_i_daydiff_idv_g_365day_l1imbank_min	NUMBER	Minimum record interval (days) for identity authentication events in the non-bank financial industry within 365 days associated with the ID card
events_i_daydiff_idv_g_60day_l1imbank_max	NUMBER	The maximum record interval (in days) of identity authentication events in the non-bank financial industry within 60 days associated with the ID card
events_i_daydiff_idv_g_60day_l1imbank_min	NUMBER	Minimum record interval (in days) for identity authentication events in the non-bank financial industry within 60 days associated with the ID card
events_i_daydiff_idv_g_90day_l1imbank_max	NUMBER	The maximum record interval (in days) of identity authentication events in the non-bank financial industry within 90 days associated with the ID card
events_i_daydiff_idv_g_90day_l1imbank_min	NUMBER	Minimum record interval (in days) for identity authentication events in the non-bank financial industry within 90 days associated with the ID card
events_i_daydiff_last_all_g_15day_l1imbank	NUMBER	The number of days from the last record of all events in the non-bank financial industry within 15 days associated with the ID card to the current day
events_i_daydiff_last_all_g_180day_l1imbank	NUMBER	The number of days from the last record of all events in the non-bank financial industry within 180 days associated with the ID card to the current day
events_i_daydiff_last_all_g_30day_l1imbank	NUMBER	The number of days from the last record of all events in the non-bank financial industry within 30 days associated with the ID card to the current day
events_i_daydiff_last_all_g_365day_l1imbank	NUMBER	The number of days from the last record of all events in the non-bank financial industry within 365 days associated with the ID card to the current day
events_i_daydiff_last_all_g_60day_l1imbank	NUMBER	The number of days from the last record of all events in the non-bank financial industry within 60 days associated with the ID card to the current day
events_i_daydiff_last_all_g_90day_l1imbank	NUMBER	The number of days from the last record of all events in the non-bank financial industry within 90 days associated with the ID card to the current day
events_i_daydiff_last_loan_g_15day	NUMBER	The number of days from the last record of credit events in all industries within the past 15 natural days to the current day
events_i_daydiff_last_loan_g_180day	NUMBER	The number of days from the last record of credit events in all industries within the past 180 natural days to the current day
events_i_daydiff_last_loan_g_30day	NUMBER	The number of days from the last record of credit events in all industries within the past 30 natural days to the current day
events_i_daydiff_last_loan_g_365day	NUMBER	The number of days from the last record of credit events in all industries within the past 365 natural days to the current day
events_i_daydiff_last_loan_g_60day	NUMBER	The number of days from the last record of credit events in all industries within the past 60 natural days to the current day
events_i_daydiff_last_loan_g_90day	NUMBER	The number of days from the last record of credit events in all industries within the past 90 natural days to the current day
events_i_daydiff_loan_g_15day_l1imbank_max	NUMBER	The maximum record interval (in days) of credit granting events in the non-bank financial industry within 15 days associated with the ID card
events_i_daydiff_loan_g_15day_l1imbank_min	NUMBER	Minimum record interval (days) of credit events in non-bank financial industry within 15 days associated with ID card
events_i_daydiff_loan_g_180day_l1imbank_max	NUMBER	The maximum record interval (in days) of credit events in the non-bank financial industry within 180 days associated with the ID card
events_i_daydiff_loan_g_180day_l1imbank_min	NUMBER	Minimum record interval (days) of credit events in non-bank financial industry within 180 days associated with ID card
events_i_daydiff_loan_g_30day_l1imbank_max	NUMBER	The maximum record interval (in days) of credit granting events in the non-bank financial industry within 30 days associated with the ID card
events_i_daydiff_loan_g_30day_l1imbank_min	NUMBER	Minimum record interval (days) of credit events in non-bank financial industry within 30 days associated with ID card
events_i_daydiff_loan_g_365day_l1imbank_max	NUMBER	The maximum record interval (in days) of credit granting events in the non-bank financial industry within 365 days associated with the ID card
events_i_daydiff_loan_g_365day_l1imbank_min	NUMBER	Minimum record interval (days) of credit events in non-bank financial industry within 365 days associated with ID card
events_i_daydiff_loan_g_60day_l1imbank_max	NUMBER	The maximum record interval (in days) of credit granting events in the non-bank financial industry within 60 days associated with the ID card
events_i_daydiff_loan_g_60day_l1imbank_min	NUMBER	Minimum record interval (days) of credit events in non-bank financial industry within 60 days associated with ID card
events_i_daydiff_loan_g_90day_l1imbank_max	NUMBER	The maximum record interval (in days) of credit granting events in the non-bank financial industry within 90 days associated with the ID card
events_i_daydiff_loan_g_90day_l1imbank_min	NUMBER	Minimum record interval (days) of credit events in non-bank financial industry within 90 days associated with ID card
events_i_daydiff_login_g_15day_l1imbank_max	NUMBER	The maximum record interval (in days) of login events in the non-bank financial industry within 15 days associated with the ID card
events_i_daydiff_login_g_15day_l1imbank_min	NUMBER	Minimum record interval (days) of login events in the non-bank financial industry within 15 days associated with the ID card
events_i_daydiff_login_g_180day_l1imbank_max	NUMBER	The maximum record interval (in days) of login events in the non-bank financial industry within 180 days associated with the ID card
events_i_daydiff_login_g_180day_l1imbank_min	NUMBER	Minimum record interval (days) of login events in the non-bank financial industry within 180 days associated with the ID card
events_i_daydiff_login_g_30day_l1imbank_max	NUMBER	The maximum record interval (in days) of login events in the non-bank financial industry within 30 days associated with the ID card
events_i_daydiff_login_g_30day_l1imbank_min	NUMBER	Minimum record interval (days) of login events in the non-bank financial industry within 30 days associated with the ID card
events_i_daydiff_login_g_365day_l1imbank_max	NUMBER	The maximum record interval (in days) of login events in the non-bank financial industry within 365 days associated with the ID card
events_i_daydiff_login_g_365day_l1imbank_min	NUMBER	Minimum record interval (days) of login events in the non-bank financial industry within 365 days associated with the ID card
events_i_daydiff_login_g_60day_l1imbank_max	NUMBER	The maximum record interval (in days) of login events in the non-bank financial industry within 60 days associated with the ID card
events_i_daydiff_login_g_60day_l1imbank_min	NUMBER	Minimum record interval (days) of login events in the non-bank financial industry within 60 days associated with the ID card
events_i_daydiff_login_g_90day_l1imbank_max	NUMBER	The maximum record interval (in days) of login events in the non-bank financial industry within 90 days associated with the ID card
events_i_daydiff_login_g_90day_l1imbank_min	NUMBER	Minimum record interval (days) of login events in the non-bank financial industry within 90 days associated with the ID card
events_i_disburse_g_15day_avg	NUMBER	The average number of records per day in credit events in all industries associated with the ID card within 15 natural days
events_i_disburse_g_15day_count	NUMBER	The number of records of credit card use events in the entire industry within 15 days associated with the ID card
events_i_disburse_g_15day_daytime_count	NUMBER	Number of credit card usage events in the industry that occurred during the day within 15 days associated with the ID card
events_i_disburse_g_15day_daytime_ratio	NUMBER	The proportion of credit card usage events in all industries within 15 natural days that occurred during the day
events_i_disburse_g_15day_l1imbank_count	NUMBER	Number of records of credit events in the non-bank financial industry within 15 days associated with the ID card
events_i_disburse_g_15day_l1imbank_daytime_count	NUMBER	Number of credit card use events in the non-bank financial industry that occurred during the day within 15 days associated with the ID card
events_i_disburse_g_15day_l1imbank_weekend_count	NUMBER	Number of credit card use incidents in the non-bank financial industry that occurred on weekends within 15 days of the ID card being linked
events_i_disburse_g_15day_l1imbank_workday_count	NUMBER	Number of credit-using events in the non-bank financial industry that occurred on working days within 15 days of the ID card being linked
events_i_disburse_g_15day_workday_count	NUMBER	The number of credit card use events in the industry that occurred on weekdays within 15 days of the ID card being linked
events_i_disburse_g_15day_workday_ratio	NUMBER	The proportion of credit card usage events in all industries that occurred on working days within 15 natural days.
events_i_disburse_g_180day_avg	NUMBER	The average number of records per day in credit events in all industries associated with the ID card within 180 natural days
events_i_disburse_g_180day_count	NUMBER	Number of records of credit card use events in the entire industry within 180 days associated with the ID card
events_i_disburse_g_180day_daytime_count	NUMBER	Number of credit card usage events in the industry that occurred during the day within 180 days associated with the ID card
events_i_disburse_g_180day_daytime_ratio	NUMBER	The proportion of credit card usage events in all industries that occurred during the day within 180 natural days associated with the ID card
events_i_disburse_g_180day_l1imbank_count	NUMBER	Number of records of credit events in the non-bank financial industry within 180 days associated with the ID card
events_i_disburse_g_180day_l1imbank_daytime_count	NUMBER	Number of credit card use events in the non-bank financial industry that occurred during the day within 180 days associated with the ID card
events_i_disburse_g_180day_l1imbank_weekend_count	NUMBER	Number of credit card use incidents in the non-bank financial industry that occurred on weekends within 180 days of the ID card being linked
events_i_disburse_g_180day_l1imbank_workday_count	NUMBER	Number of credit-using events in the non-bank financial industry that occurred on working days within 180 days associated with the ID card
events_i_disburse_g_180day_workday_count	NUMBER	The number of credit card use events in the industry that occurred on working days within 180 days.
events_i_disburse_g_180day_workday_ratio	NUMBER	The proportion of credit card usage events in all industries that occurred on working days within 180 natural days associated with the ID card
events_i_disburse_g_30day_avg	NUMBER	The average number of records per day in credit events in all industries associated with the ID card within 30 natural days
events_i_disburse_g_30day_count	NUMBER	The number of records of credit card use events in the entire industry within 30 days associated with the ID card
events_i_disburse_g_30day_daytime_count	NUMBER	Number of credit card usage events in the industry that occurred during the day within 30 days associated with the ID card
events_i_disburse_g_30day_daytime_ratio	NUMBER	The proportion of credit card usage events in all industries within 30 natural days that occurred during the day
events_i_disburse_g_30day_l1imbank_count	NUMBER	Number of records of credit events in the non-bank financial industry within 30 days associated with the ID card
events_i_disburse_g_30day_l1imbank_daytime_count	NUMBER	Number of credit card use events in the non-bank financial industry that occurred during the day within 30 days associated with the ID card
events_i_disburse_g_30day_l1imbank_weekend_count	NUMBER	Number of credit card use incidents in the non-bank financial industry that occurred on weekends within 30 days of the ID card being linked
events_i_disburse_g_30day_l1imbank_workday_count	NUMBER	Number of credit-using events in the non-bank financial industry that occurred on working days within 30 days associated with the ID card
events_i_disburse_g_30day_workday_count	NUMBER	The number of credit card use events in the industry that occurred on weekdays within 30 days associated with the ID card
events_i_disburse_g_30day_workday_ratio	NUMBER	The proportion of credit card usage events in all industries that occurred on working days within 30 natural days associated with the ID card
events_i_disburse_g_365day_avg	NUMBER	The average number of records per day in credit events in all industries associated with the ID card within 365 natural days
events_i_disburse_g_365day_count	NUMBER	Number of records of credit card use events in all industries within 365 days associated with the ID card
events_i_disburse_g_365day_daytime_count	NUMBER	Number of credit card usage events in the industry that occurred during the day within 365 days.
events_i_disburse_g_365day_daytime_ratio	NUMBER	The proportion of credit card usage events in all industries that occurred during the day within 365 natural days associated with the ID card
events_i_disburse_g_365day_l1imbank_count	NUMBER	Number of records of credit events in the non-bank financial industry within 365 days associated with the ID card
events_i_disburse_g_365day_l1imbank_daytime_count	NUMBER	Number of credit card use events in the non-bank financial industry that occurred during the day within 365 days associated with the ID card
events_i_disburse_g_365day_l1imbank_weekend_count	NUMBER	Number of credit card use incidents in the non-bank financial industry that occurred on weekends within 365 days linked to the ID card
events_i_disburse_g_365day_l1imbank_workday_count	NUMBER	Number of credit-using events in the non-bank financial industry that occurred on working days within 365 days associated with the ID card
events_i_disburse_g_365day_workday_count	NUMBER	The number of credit card use events in the industry that occurred on weekdays within 365 days.
events_i_disburse_g_365day_workday_ratio	NUMBER	The proportion of credit card usage events in all industries that occurred on working days within 365 natural days associated with the ID card
events_i_disburse_g_60day_avg	NUMBER	The average number of records per day in credit events in all industries associated with the ID card within 60 natural days
events_i_disburse_g_60day_count	NUMBER	The number of records of credit card use events in the entire industry within 60 days associated with the ID card
events_i_disburse_g_60day_daytime_count	NUMBER	Number of credit card usage events in the industry that occurred during the day within 60 days associated with the ID card
events_i_disburse_g_60day_daytime_ratio	NUMBER	The proportion of credit card usage events in all industries that occurred during the day within 60 natural days associated with the ID card
events_i_disburse_g_60day_l1imbank_count	NUMBER	Number of records of credit events in the non-bank financial industry within 60 days associated with the ID card
events_i_disburse_g_60day_l1imbank_daytime_count	NUMBER	Number of credit card use events in the non-bank financial industry that occurred during the day within 60 days associated with the ID card
events_i_disburse_g_60day_l1imbank_weekend_count	NUMBER	Number of credit card use incidents in the non-bank financial industry that occurred on weekends within 60 days of the ID card being linked
events_i_disburse_g_60day_l1imbank_workday_count	NUMBER	Number of credit-using events in the non-bank financial industry that occurred on working days within 60 days associated with the ID card
events_i_disburse_g_60day_workday_count	NUMBER	The number of credit card use events in the industry that occurred on working days within 60 days of the ID card being linked
events_i_disburse_g_60day_workday_ratio	NUMBER	The proportion of credit card usage events in all industries that occurred on working days within 60 natural days associated with the ID card
events_i_disburse_g_90day_avg	NUMBER	The average number of records per day in credit events in all industries associated with the ID card within 90 natural days
events_i_disburse_g_90day_count	NUMBER	Number of records of credit card use events in the entire industry within 90 days associated with the ID card
events_i_disburse_g_90day_daytime_count	NUMBER	Number of credit card usage events in the industry that occurred during the day within 90 days associated with the ID card
events_i_disburse_g_90day_daytime_ratio	NUMBER	The proportion of credit card usage events in all industries within 90 natural days that occurred during the day
events_i_disburse_g_90day_l1imbank_count	NUMBER	Number of records of credit events in the non-bank financial industry within 90 days associated with the ID card
events_i_disburse_g_90day_l1imbank_daytime_count	NUMBER	Number of credit card use events in the non-bank financial industry that occurred during the day within 90 days associated with the ID card
events_i_disburse_g_90day_l1imbank_weekend_count	NUMBER	Number of credit card use incidents in the non-bank financial industry that occurred on weekends within 90 days of the ID card being linked
events_i_disburse_g_90day_l1imbank_workday_count	NUMBER	Number of credit-using events in the non-bank financial industry within 90 days associated with the ID card that occurred on working days
events_i_disburse_g_90day_workday_count	NUMBER	Number of credit card use events in the industry that occurred on working days within 90 days of the ID card being linked
events_i_disburse_g_90day_workday_ratio	NUMBER	The proportion of credit card usage events in all industries within 90 natural days that occurred on working days
events_i_ds_all_g_15day_d_count	NUMBER	The different days in all events in all industries within 15 days associated with the ID card
events_i_ds_all_g_180day_d_count	NUMBER	The different days in all events in all industries within 180 days associated with the ID card
events_i_ds_all_g_30day_d_count	NUMBER	The different days in all events in all industries within 30 days associated with the ID card
events_i_ds_all_g_365day_d_count	NUMBER	The different days in all events in all industries within 365 days associated with the ID card
events_i_ds_all_g_60day_d_count	NUMBER	The different days in all events in all industries within 60 days associated with the ID card
events_i_ds_all_g_90day_d_count	NUMBER	The different days in all events in all industries within 90 days associated with the ID card
events_i_ds_disburse_g_15day_d_count	NUMBER	The different days of credit card usage events in all industries within 15 days associated with the ID card
events_i_ds_disburse_g_180day_d_count	NUMBER	The different days of credit card usage events in all industries within 180 days associated with the ID card
events_i_ds_disburse_g_30day_d_count	NUMBER	The different days of credit card usage events in all industries within 30 days associated with the ID card
events_i_ds_disburse_g_365day_d_count	NUMBER	The different days of credit card usage events in all industries within 365 days associated with the ID card
events_i_ds_disburse_g_60day_d_count	NUMBER	The different days of credit card usage events in all industries within 60 days associated with the ID card
events_i_ds_disburse_g_90day_d_count	NUMBER	The different days of credit card usage events in all industries within 90 days associated with the ID card
events_i_ds_idv_g_15day_d_count	NUMBER	The different days of identity authentication events in all industries within 15 days associated with the ID card
events_i_ds_idv_g_180day_d_count	NUMBER	The different days of identity authentication events in all industries within 180 days associated with the ID card
events_i_ds_idv_g_30day_d_count	NUMBER	The different days of identity authentication events in all industries within 30 days associated with the ID card
events_i_ds_idv_g_365day_d_count	NUMBER	The different days of identity authentication events in all industries within 365 days associated with the ID card
events_i_ds_idv_g_60day_d_count	NUMBER	The different days of identity authentication events in all industries within 60 days associated with the ID card
events_i_ds_idv_g_90day_d_count	NUMBER	The different days of identity authentication events in all industries within 90 days associated with the ID card
events_i_ds_loan_g_15day_d_count	NUMBER	Different days in the credit events of all industries within 15 days associated with the ID card
events_i_ds_loan_g_180day_d_count	NUMBER	The different days in the credit events of all industries within 180 days associated with the ID card
events_i_ds_loan_g_30day_d_count	NUMBER	The different days in the credit events of all industries within 30 days associated with the ID card
events_i_ds_loan_g_365day_d_count	NUMBER	Different days in the credit events of all industries within 365 days associated with the ID card
events_i_ds_loan_g_60day_d_count	NUMBER	The different days in the credit events of all industries within 60 days associated with the ID card
events_i_ds_loan_g_90day_d_count	NUMBER	The different days in the credit events of all industries within 90 days associated with the ID card
events_i_ds_login_g_15day_d_count	NUMBER	The different days of login events in all industries within 15 days associated with the ID card
events_i_ds_login_g_180day_d_count	NUMBER	The different days of login events in all industries within 180 days associated with the ID card
events_i_ds_login_g_30day_d_count	NUMBER	The different days of login events in all industries within 30 days associated with the ID card
events_i_ds_login_g_365day_d_count	NUMBER	The different days of login events in all industries within 365 days associated with the ID card
events_i_ds_login_g_60day_d_count	NUMBER	The different days of login events in all industries within 60 days associated with the ID card
events_i_ds_login_g_90day_d_count	NUMBER	The different days of login events in all industries within 90 days associated with the ID card
events_i_finalscore_all_g_15day_max	NUMBER	The maximum value of the risk score associated with the ID card within 15 days
events_i_finalscore_all_g_180day_max	NUMBER	The maximum value of the risk score associated with the ID card within 180 days
events_i_finalscore_all_g_30day_max	NUMBER	The maximum value of the risk score associated with the ID card within 30 days
events_i_finalscore_all_g_365day_max	NUMBER	The maximum value of the risk score associated with the ID card within 365 days
events_i_finalscore_all_g_60day_max	NUMBER	The maximum value of the risk score associated with the ID card within 60 days
events_i_finalscore_all_g_90day_max	NUMBER	The maximum value of the risk score associated with the ID card within 90 days
events_i_idv_g_15day_count	NUMBER	The number of records of identity authentication events in all industries within 15 days associated with the ID card
events_i_idv_g_15day_daytime_count	NUMBER	The number of identity authentication events in the industry that occurred during the day within 15 days associated with the ID card
events_i_idv_g_15day_l1imbank_count	NUMBER	The number of records of identity authentication events in the non-bank financial industry within 15 days associated with the ID card
events_i_idv_g_15day_l1imbank_daytime_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred during the day within 15 days associated with the ID card
events_i_idv_g_15day_l1imbank_weekend_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred on weekends within 15 days of the ID card being linked
events_i_idv_g_15day_l1imbank_workday_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred on working days within 15 days of the ID card being linked
events_i_idv_g_15day_workday_count	NUMBER	The number of identity authentication events that occurred on weekdays within 15 days in all industries associated with the ID card
events_i_idv_g_180day_count	NUMBER	The number of records of identity authentication events in all industries within 180 days associated with the ID card
events_i_idv_g_180day_daytime_count	NUMBER	The number of identity authentication events in the industry that occurred during the day within 180 days associated with the ID card
events_i_idv_g_180day_l1imbank_count	NUMBER	Number of records of identity authentication events in the non-bank financial industry within 180 days associated with the ID card
events_i_idv_g_180day_l1imbank_daytime_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred during the day within 180 days associated with the ID card
events_i_idv_g_180day_l1imbank_weekend_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred on weekends within 180 days of the ID card being linked
events_i_idv_g_180day_l1imbank_workday_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred on working days within 180 days of the ID card being linked
events_i_idv_g_180day_workday_count	NUMBER	The number of identity authentication events that occurred on weekdays within 180 days in all industries associated with the ID card
events_i_idv_g_30day_count	NUMBER	The number of records of identity authentication events in all industries within 30 days associated with the ID card
events_i_idv_g_30day_daytime_count	NUMBER	The number of identity authentication events in the industry that occurred during the day within 30 days associated with the ID card
events_i_idv_g_30day_l1imbank_count	NUMBER	Number of records of identity authentication events in the non-bank financial industry within 30 days associated with the ID card
events_i_idv_g_30day_l1imbank_daytime_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred during the day within 30 days associated with the ID card
events_i_idv_g_30day_l1imbank_weekend_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred on weekends within 30 days of the ID card being linked
events_i_idv_g_30day_l1imbank_workday_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred on working days within 30 days of the ID card being linked
events_i_idv_g_30day_workday_count	NUMBER	The number of identity authentication events that occurred on weekdays within 30 days in all industries associated with the ID card
events_i_idv_g_365day_count	NUMBER	The number of records of identity authentication events in all industries within 365 days associated with the ID card
events_i_idv_g_365day_daytime_count	NUMBER	The number of identity authentication events in the industry that occurred during the day within 365 days.
events_i_idv_g_365day_l1imbank_count	NUMBER	Number of records of identity authentication events in the non-bank financial industry within 365 days associated with the ID card
events_i_idv_g_365day_l1imbank_daytime_count	NUMBER	Number of identity authentication events in the non-bank financial industry associated with the ID card that occurred during the day within 365 days
events_i_idv_g_365day_l1imbank_weekend_count	NUMBER	Number of identity authentication events in the non-bank financial industry linked to the ID card that occurred on weekends within 365 days
events_i_idv_g_365day_l1imbank_workday_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred on working days within 365 days associated with the ID card
events_i_idv_g_365day_workday_count	NUMBER	The number of identity authentication events that occurred on weekdays in the entire industry within 365 days associated with the ID card
events_i_idv_g_60day_count	NUMBER	The number of records of identity authentication events in all industries within 60 days associated with the ID card
events_i_idv_g_60day_daytime_count	NUMBER	The number of identity authentication events in the industry that occurred during the day within 60 days associated with the ID card
events_i_idv_g_60day_l1imbank_count	NUMBER	Number of records of identity authentication events in the non-bank financial industry within 60 days associated with the ID card
events_i_idv_g_60day_l1imbank_daytime_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred during the day within 60 days associated with the ID card
events_i_idv_g_60day_l1imbank_weekend_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred on weekends within 60 days of the ID card being linked
events_i_idv_g_60day_l1imbank_workday_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred on working days within 60 days of the ID card being linked
events_i_idv_g_60day_workday_count	NUMBER	The number of identity authentication events that occurred on weekdays within 60 days in all industries associated with the ID card
events_i_idv_g_90day_count	NUMBER	The number of records of identity authentication events in all industries within 90 days associated with the ID card
events_i_idv_g_90day_daytime_count	NUMBER	The number of identity authentication events in the industry that occurred during the day within 90 days associated with the ID card
events_i_idv_g_90day_l1imbank_count	NUMBER	Number of records of identity authentication events in the non-bank financial industry within 90 days associated with the ID card
events_i_idv_g_90day_l1imbank_daytime_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred during the day within 90 days associated with the ID card
events_i_idv_g_90day_l1imbank_weekend_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred on weekends within 90 days of the ID card being linked
events_i_idv_g_90day_l1imbank_workday_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred on working days within 90 days of the ID card being linked
events_i_idv_g_90day_workday_count	NUMBER	The number of identity authentication events that occurred on weekdays within the past 90 days in all industries associated with the ID card
events_i_incr180_m_all_g_365day_d_count	NUMBER	The number of new mobile phone numbers in all industries and all events within the past 180 days compared with 180-365 days.
events_i_incr60_m_all_g_180day_d_count	NUMBER	The number of new mobile phone numbers in all industries and all events within the past 60 days compared with 60-180 days within the past 180 days.
events_i_incr60_m_all_g_365day_d_count	NUMBER	The number of new mobile phone numbers in all industries and all events within the past 60 days compared with 60-365 days within the past 60 days linked to the ID card
events_i_incr90_m_all_g_180day_d_count	NUMBER	The number of new mobile phone numbers in all industries and all events within the past 90 days compared with 90-180 days within the past 180 days.
events_i_incr90_m_all_g_365day_d_count	NUMBER	The number of new mobile phone numbers in all industries and all events in the past 90 days compared with 90-365 days in the past 90 days linked to the ID card
events_i_installeddangerapps_all_g_30day_d_count	NUMBER	The number of deduplicated risk labels installed on risky devices associated with ID cards in the past 30 days
events_i_installeddangerapps_all_g_7day_d_count	NUMBER	The number of deduplicated risk labels installed on risky devices associated with ID cards in the past 7 days
events_i_last_contdds_disburse_g_15day_l1imbank_count	NUMBER	The number of recent consecutive records of credit-using events in the non-bank financial industry within 15 days associated with the ID card
events_i_last_contdds_disburse_g_180day_l1imbank_count	NUMBER	The number of recent consecutive records of credit-using events in the non-bank financial industry within 180 days associated with the ID card
events_i_last_contdds_disburse_g_30day_l1imbank_count	NUMBER	The number of recent consecutive records of credit-using events in the non-bank financial industry within 30 days associated with the ID card
events_i_last_contdds_disburse_g_365day_l1imbank_count	NUMBER	The number of recent consecutive records of credit-using events in the non-bank financial industry within 365 days associated with the ID card
events_i_last_contdds_disburse_g_60day_l1imbank_count	NUMBER	The number of recent consecutive records of credit-using events in the non-bank financial industry within 60 days associated with the ID card
events_i_last_contdds_disburse_g_90day_l1imbank_count	NUMBER	The number of recent consecutive records of credit-using events in the non-bank financial industry within 90 days associated with the ID card
events_i_last_contdds_ds_disburse_g_15day_l1imbank	NUMBER	The number of consecutive days of the latest credit record in the non-bank financial industry within 15 days associated with the ID card
events_i_last_contdds_ds_disburse_g_180day_l1imbank	NUMBER	The number of consecutive days of the latest credit record in the non-bank financial industry within 180 days associated with the ID card
events_i_last_contdds_ds_disburse_g_30day_l1imbank	NUMBER	The number of consecutive days of the latest credit record in the non-bank financial industry within 30 days associated with the ID card
events_i_last_contdds_ds_disburse_g_365day_l1imbank	NUMBER	The number of consecutive days of the latest credit record in the non-bank financial industry within 365 days associated with the ID card
events_i_last_contdds_ds_disburse_g_60day_l1imbank	NUMBER	The number of consecutive days of the latest credit record in the non-bank financial industry within 60 days associated with the ID card
events_i_last_contdds_ds_disburse_g_90day_l1imbank	NUMBER	The number of consecutive days of the latest credit record in the non-bank financial industry within 90 days associated with the ID card
events_i_last_contdds_ds_idv_g_15day_l1imbank	NUMBER	The number of consecutive days of the identity authentication events in the non-bank financial industry within 15 days associated with the ID card
events_i_last_contdds_ds_idv_g_180day_l1imbank	NUMBER	The number of consecutive days of the most recent identity authentication event in the non-bank financial industry within 180 days associated with the ID card
events_i_last_contdds_ds_idv_g_30day_l1imbank	NUMBER	The number of consecutive days of the most recent identity authentication event in the non-bank financial industry within 30 days associated with the ID card
events_i_last_contdds_ds_idv_g_365day_l1imbank	NUMBER	The number of consecutive days of the most recent identity authentication event in the non-bank financial industry within 365 days associated with the ID card
events_i_last_contdds_ds_idv_g_60day_l1imbank	NUMBER	The number of consecutive days of the most recent identity authentication event in the non-bank financial industry within 60 days associated with the ID card
events_i_last_contdds_ds_idv_g_90day_l1imbank	NUMBER	The number of consecutive days of the most recent identity authentication event in the non-bank financial industry within 90 days associated with the ID card
events_i_last_contdds_ds_loan_g_15day	NUMBER	The number of consecutive days of the latest credit events in all industries within the past 15 natural days on the ID card
events_i_last_contdds_ds_loan_g_15day_l1imbank	NUMBER	The number of consecutive days of the latest credit event in the non-bank financial industry within 15 days associated with the ID card
events_i_last_contdds_ds_loan_g_180day	NUMBER	The number of consecutive days of the latest credit events in all industries within the past 180 natural days on the ID card
events_i_last_contdds_ds_loan_g_180day_l1imbank	NUMBER	The number of consecutive days of the latest credit event in the non-bank financial industry within 180 days associated with the ID card
events_i_last_contdds_ds_loan_g_30day	NUMBER	The number of consecutive days of the latest credit events in all industries within the past 30 natural days on the ID card
events_i_last_contdds_ds_loan_g_30day_l1imbank	NUMBER	The number of consecutive days of the latest credit event in the non-bank financial industry within 30 days associated with the ID card
events_i_last_contdds_ds_loan_g_365day	NUMBER	The number of consecutive days of the latest credit events in all industries in the past 365 natural days on the ID card
events_i_last_contdds_ds_loan_g_365day_l1imbank	NUMBER	The number of consecutive days of the latest credit event in the non-bank financial industry within 365 days associated with the ID card
events_i_last_contdds_ds_loan_g_60day	NUMBER	The number of consecutive days of the latest credit events in all industries within the past 60 natural days on the ID card
events_i_last_contdds_ds_loan_g_60day_l1imbank	NUMBER	The number of consecutive days of the latest credit event in the non-bank financial industry within 60 days associated with the ID card
events_i_last_contdds_ds_loan_g_90day	NUMBER	The number of consecutive days of the latest credit events in all industries within the past 90 natural days on the ID card
events_i_last_contdds_ds_loan_g_90day_l1imbank	NUMBER	The number of consecutive days of the latest credit event in the non-bank financial industry within 90 days associated with the ID card
events_i_last_contdds_ds_login_g_15day_l1imbank	NUMBER	The number of consecutive days of the most recent login events in the non-bank financial industry associated with the ID card within 15 days
events_i_last_contdds_ds_login_g_180day_l1imbank	NUMBER	The number of consecutive days of the most recent login events in the non-bank financial industry associated with the ID card within 180 days
events_i_last_contdds_ds_login_g_30day_l1imbank	NUMBER	The number of consecutive days of the most recent login events in the non-bank financial industry associated with the ID card within 30 days
events_i_last_contdds_ds_login_g_365day_l1imbank	NUMBER	The number of consecutive days of the most recent login events in the non-bank financial industry associated with the ID card within 365 days
events_i_last_contdds_ds_login_g_60day_l1imbank	NUMBER	The number of consecutive days of the most recent login events in the non-bank financial industry associated with the ID card within 60 days
events_i_last_contdds_ds_login_g_90day_l1imbank	NUMBER	The number of consecutive days of login events in the non-bank financial industry associated with the ID card within 90 days
events_i_last_contdds_idv_g_15day_l1imbank_count	NUMBER	The number of recent consecutive records of identity authentication events in the non-bank financial industry within 15 days associated with the ID card
events_i_last_contdds_idv_g_180day_l1imbank_count	NUMBER	The number of recent consecutive records of identity authentication events in the non-bank financial industry within 180 days associated with the ID card
events_i_last_contdds_idv_g_30day_l1imbank_count	NUMBER	The number of recent consecutive records of identity authentication events in the non-bank financial industry within 30 days associated with the ID card
events_i_last_contdds_idv_g_365day_l1imbank_count	NUMBER	The number of recent consecutive records of identity authentication events in the non-bank financial industry within 365 days associated with the ID card
events_i_last_contdds_idv_g_60day_l1imbank_count	NUMBER	The number of recent consecutive records of identity authentication events in the non-bank financial industry within 60 days associated with the ID card
events_i_last_contdds_idv_g_90day_l1imbank_count	NUMBER	The number of recent consecutive records of identity authentication events in the non-bank financial industry within 90 days associated with the ID card
events_i_last_contdds_loan_g_15day_count	NUMBER	The number of recent consecutive records of credit events in all industries under the ID card within the past 15 natural days
events_i_last_contdds_loan_g_15day_l1imbank_count	NUMBER	The number of recent consecutive records of credit granting events in the non-bank financial industry within 15 days associated with the ID card
events_i_last_contdds_loan_g_180day_count	NUMBER	The number of recent consecutive records of credit events in all industries under the ID card within the past 180 natural days
events_i_last_contdds_loan_g_180day_l1imbank_count	NUMBER	The number of recent consecutive records of credit granting events in the non-bank financial industry within 180 days associated with the ID card
events_i_last_contdds_loan_g_30day_count	NUMBER	The number of recent consecutive records of credit events in all industries under the ID card within the past 30 natural days
events_i_last_contdds_loan_g_30day_l1imbank_count	NUMBER	The number of recent consecutive records of credit granting events in the non-bank financial industry within 30 days associated with the ID card
events_i_last_contdds_loan_g_365day_count	NUMBER	The number of recent consecutive records of credit events in all industries under the ID card in the past 365 natural days
events_i_last_contdds_loan_g_365day_l1imbank_count	NUMBER	The number of recent consecutive records of credit granting events in the non-bank financial industry within 365 days associated with the ID card
events_i_last_contdds_loan_g_60day_count	NUMBER	The number of recent consecutive records of credit events in all industries under the ID card within the past 60 natural days
events_i_last_contdds_loan_g_60day_l1imbank_count	NUMBER	The number of recent consecutive records of credit granting events in the non-bank financial industry within 60 days associated with the ID card
events_i_last_contdds_loan_g_90day_count	NUMBER	The number of recent consecutive records of credit events in all industries under the ID card within the past 90 natural days
events_i_last_contdds_loan_g_90day_l1imbank_count	NUMBER	The number of recent consecutive records of credit granting events in the non-bank financial industry within 90 days associated with the ID card
events_i_last_contdds_login_g_15day_l1imbank_count	NUMBER	The number of recent consecutive records of login events in the non-bank financial industry within 15 days associated with the ID card
events_i_last_contdds_login_g_180day_l1imbank_count	NUMBER	The number of recent consecutive records of login events in the non-bank financial industry within 180 days associated with the ID card
events_i_last_contdds_login_g_30day_l1imbank_count	NUMBER	The number of recent consecutive records of login events in the non-bank financial industry within 30 days associated with the ID card
events_i_last_contdds_login_g_365day_l1imbank_count	NUMBER	The number of recent consecutive records of login events in the non-bank financial industry within 365 days associated with the ID card
events_i_last_contdds_login_g_60day_l1imbank_count	NUMBER	The number of recent consecutive records of login events in the non-bank financial industry within 60 days associated with the ID card
events_i_last_contdds_login_g_90day_l1imbank_count	NUMBER	The number of recent consecutive records of login events in the non-bank financial industry within 90 days associated with the ID card
events_i_lastmth_partner_disburse_g_180day_d_count	NUMBER	Number of different platforms in the first full natural month in the industry for credit card usage events within 180 days associated with the ID card
events_i_lastmth_partner_disburse_g_365day_d_count	NUMBER	Number of different platforms in the first full natural month in the industry for credit card usage events within 365 days associated with the ID card
events_i_lastmth_partner_disburse_g_60day_d_count	NUMBER	Number of different platforms in the first full natural month in the industry for credit card usage events within 60 days associated with the ID card
events_i_lastmth_partner_disburse_g_90day_d_count	NUMBER	Number of different platforms in the first full natural month in the industry for credit card usage events within 90 days associated with the ID card
events_i_lastmth_partner_idv_g_180day_d_count	NUMBER	Number of identity authentication events in the industry within 180 days linked to the ID card on different platforms in the first full natural month
events_i_lastmth_partner_idv_g_365day_d_count	NUMBER	Number of identity authentication events in the industry within 365 days linked to the ID card on different platforms in the first full natural month
events_i_lastmth_partner_idv_g_60day_d_count	NUMBER	Number of identity authentication events in the industry within 60 days linked to the ID card on different platforms in the first full natural month
events_i_lastmth_partner_idv_g_90day_d_count	NUMBER	Number of identity authentication events in the industry within 90 days linked to the ID card on different platforms in the first full natural month
events_i_lastmth_partner_loan_g_365day_d_count	NUMBER	Number of different platforms in the first full natural month in the credit granting events in the industry within 365 days associated with the ID card
events_i_lastmth_partner_login_g_180day_d_count	NUMBER	Number of different platforms in the first full natural month in the industry-wide login events associated with the ID card within 180 days
events_i_lastmth_partner_login_g_365day_d_count	NUMBER	Number of different platforms in the first full natural month in the 365 days in which the ID card is associated with login events in all industries
events_i_lastmth_partner_login_g_60day_d_count	NUMBER	Number of different platforms in the first full natural month in the login events in all industries within 60 days associated with the ID card
events_i_lastmth_partner_login_g_90day_d_count	NUMBER	Number of different platforms in the first full natural month in the industry-wide login events associated with the ID card within 90 days
events_i_loan_g_15day_avg	NUMBER	The average number of records per day in credit events in all industries associated with the ID card within 15 natural days
events_i_loan_g_15day_count	NUMBER	The number of records of credit events in the entire industry within 15 days associated with the ID card
events_i_loan_g_15day_daytime_count	NUMBER	Number of credit events in the industry that occurred during the day in the past 15 natural days by ID number
events_i_loan_g_15day_daytime_ratio	NUMBER	The proportion of credit events in all industries associated with the ID card that occurred during the day within 15 natural days
events_i_loan_g_15day_l1imbank_count	NUMBER	Number of records of credit granting events in the non-bank financial industry within 15 days associated with the ID card
events_i_loan_g_15day_l1imbank_daytime_count	NUMBER	Number of credit granting events in the non-bank financial industry that occurred during the day within 15 days associated with the ID card
events_i_loan_g_15day_l1imbank_weekend_count	NUMBER	Number of credit granting events in the non-bank financial industry that occurred on weekends within 15 days linked to the ID card
events_i_loan_g_15day_l1imbank_workday_count	NUMBER	Number of credit granting events in the non-bank financial industry that occurred on working days within 15 days linked to the ID card
events_i_loan_g_15day_workday_count	NUMBER	Number of credit events in the industry that occurred on working days in the past 15 natural days under the ID card number
events_i_loan_g_15day_workday_ratio	NUMBER	The proportion of credit events in all industries associated with the ID card that occurred on working days within 15 natural days
events_i_loan_g_180day_avg	NUMBER	The average number of records per day in all credit events in all industries associated with the ID card within 180 natural days
events_i_loan_g_180day_count	NUMBER	The number of records of credit events in the entire industry within 180 days associated with the ID card
events_i_loan_g_180day_daytime_count	NUMBER	Number of credit events in the industry that occurred during the day in the past 180 natural days by ID number
events_i_loan_g_180day_daytime_ratio	NUMBER	The proportion of credit events in all industries associated with the ID card that occurred during the day within 180 natural days
events_i_loan_g_180day_l1imbank_count	NUMBER	Number of records of credit granting events in the non-bank financial industry within 180 days associated with the ID card
events_i_loan_g_180day_l1imbank_daytime_count	NUMBER	Number of credit granting events in the non-bank financial industry within 180 days associated with the ID card that occurred during the day
events_i_loan_g_180day_l1imbank_weekend_count	NUMBER	Number of credit granting events in the non-bank financial industry linked to the ID card that occurred on weekends within 180 days
events_i_loan_g_180day_l1imbank_workday_count	NUMBER	Number of credit granting events in the non-bank financial industry that occurred on working days within 180 days associated with the ID card
events_i_loan_g_180day_workday_count	NUMBER	Number of credit events in the industry that occurred on working days in the past 180 natural days under ID card number
events_i_loan_g_180day_workday_ratio	NUMBER	The proportion of credit events in all industries associated with the ID card that occurred on working days within 180 natural days
events_i_loan_g_30day_avg	NUMBER	The average number of records per day in credit granting events in all industries associated with the ID card within 30 natural days
events_i_loan_g_30day_count	NUMBER	The number of records of credit events in the entire industry within 30 days associated with the ID card
events_i_loan_g_30day_daytime_count	NUMBER	Number of credit granting events in the industry that occurred during the day in the past 30 natural days by ID number
events_i_loan_g_30day_daytime_ratio	NUMBER	The proportion of credit events in all industries associated with the ID card that occurred during the day within 30 natural days
events_i_loan_g_30day_l1imbank_count	NUMBER	Number of records of credit granting events in the non-bank financial industry within 30 days associated with the ID card
events_i_loan_g_30day_l1imbank_daytime_count	NUMBER	Number of credit granting events in the non-bank financial industry linked to the ID card that occurred during the day within 30 days
events_i_loan_g_30day_l1imbank_weekend_count	NUMBER	Number of credit granting events in the non-bank financial industry linked to the ID card that occurred on weekends within 30 days
events_i_loan_g_30day_l1imbank_workday_count	NUMBER	Number of credit granting events in the non-bank financial industry that occurred on working days within 30 days associated with the ID card
events_i_loan_g_30day_workday_count	NUMBER	Number of credit granting events in the industry that occurred on working days in the past 30 natural days under the ID card number
events_i_loan_g_30day_workday_ratio	NUMBER	The proportion of credit granting events in all industries associated with the ID card that occurred on working days within 30 natural days
events_i_loan_g_365day_avg	NUMBER	The average number of records per day in credit granting events in all industries associated with the ID card within 365 natural days
events_i_loan_g_365day_count	NUMBER	The number of records of credit events in all industries within 365 days associated with the ID card
events_i_loan_g_365day_daytime_count	NUMBER	Number of credit events in the industry that occurred during the day in the past 365 natural days by ID number
events_i_loan_g_365day_daytime_ratio	NUMBER	The proportion of credit granting events in all industries associated with the ID card that occurred during the day within 365 natural days
events_i_loan_g_365day_l1imbank_count	NUMBER	Number of records of credit granting events in the non-bank financial industry within 365 days associated with the ID card
events_i_loan_g_365day_l1imbank_daytime_count	NUMBER	Number of credit granting events in the non-bank financial industry linked to the ID card that occurred during the day within 365 days
events_i_loan_g_365day_l1imbank_weekend_count	NUMBER	Number of credit granting events in the non-bank financial industry linked to the ID card that occurred on weekends within 365 days
events_i_loan_g_365day_l1imbank_workday_count	NUMBER	Number of credit granting events in the non-bank financial industry that occurred on working days within 365 days associated with the ID card
events_i_loan_g_365day_workday_count	NUMBER	Number of credit events in the industry that occurred on working days in the past 365 natural days by ID card number
events_i_loan_g_365day_workday_ratio	NUMBER	The proportion of credit granting events in all industries associated with the ID card that occurred on working days within 365 natural days
events_i_loan_g_60day_avg	NUMBER	The average number of records per day in credit events in all industries associated with the ID card within 60 natural days
events_i_loan_g_60day_count	NUMBER	The number of records of credit events in the entire industry within 60 days associated with the ID card
events_i_loan_g_60day_daytime_count	NUMBER	Number of credit granting events in the industry that occurred during the day in the past 60 natural days by ID number
events_i_loan_g_60day_daytime_ratio	NUMBER	The proportion of credit events in all industries associated with the ID card that occurred during the day within 60 natural days
events_i_loan_g_60day_l1imbank_count	NUMBER	Number of records of credit granting events in the non-bank financial industry within 60 days associated with the ID card
events_i_loan_g_60day_l1imbank_daytime_count	NUMBER	Number of credit granting events in the non-bank financial industry within 60 days associated with the ID card that occurred during the day
events_i_loan_g_60day_l1imbank_weekend_count	NUMBER	Number of credit granting events in the non-bank financial industry linked to the ID card that occurred on weekends within 60 days
events_i_loan_g_60day_l1imbank_workday_count	NUMBER	Number of credit granting events in the non-bank financial industry that occurred on working days within 60 days associated with the ID card
events_i_loan_g_60day_workday_count	NUMBER	Number of credit granting events in the industry that occurred on working days in the past 60 natural days by ID number
events_i_loan_g_60day_workday_ratio	NUMBER	The proportion of credit events in all industries associated with the ID card that occurred on working days within 60 natural days
events_i_loan_g_90day_avg	NUMBER	The average number of records per day in credit granting events in all industries associated with the ID card within 90 natural days
events_i_loan_g_90day_count	NUMBER	The number of records of credit events in the entire industry within 90 days associated with the ID card
events_i_loan_g_90day_daytime_count	NUMBER	Number of credit granting events in the industry that occurred during the day in the past 90 natural days by ID number
events_i_loan_g_90day_daytime_ratio	NUMBER	The proportion of credit events in all industries associated with the ID card that occurred during the day within 90 natural days
events_i_loan_g_90day_l1imbank_count	NUMBER	Number of records of credit granting events in the non-bank financial industry within 90 days associated with the ID card
events_i_loan_g_90day_l1imbank_daytime_count	NUMBER	Number of credit granting events in the non-bank financial industry within 90 days associated with the ID card that occurred during the day
events_i_loan_g_90day_l1imbank_weekend_count	NUMBER	Number of credit granting events in the non-bank financial industry linked to the ID card that occurred on weekends within 90 days
events_i_loan_g_90day_l1imbank_workday_count	NUMBER	Number of credit granting events in the non-bank financial industry that occurred on working days within 90 days associated with the ID card
events_i_loan_g_90day_workday_count	NUMBER	Number of credit granting events in the industry that occurred on working days in the past 90 natural days by ID number
events_i_loan_g_90day_workday_ratio	NUMBER	The proportion of credit granting events in all industries within 90 natural days that occurred on working days.
events_i_loan_p_180day_count	NUMBER	The number of records of credit events in the entire industry within 180 days associated with the ID card
events_i_loan_p_30day_count	NUMBER	The number of records of credit events in the entire industry within 30 days associated with the ID card
events_i_loan_p_365day_count	NUMBER	The number of records of credit events in all industries within 365 days associated with the ID card
events_i_loan_p_7day_count	NUMBER	The number of records of credit events in all industries within 7 days associated with the ID card
events_i_loan_p_90day_count	NUMBER	The number of records of credit events in the entire industry within 90 days associated with the ID card
events_i_login_g_15day_avg	NUMBER	The average number of daily records in login events in all industries associated with the ID card within 15 natural days
events_i_login_g_15day_count	NUMBER	The number of records of login events in all industries within 15 days associated with the ID card
events_i_login_g_15day_daytime_count	NUMBER	Number of login events in all industries that occurred during the day within 15 days associated with the ID card
events_i_login_g_15day_daytime_ratio	NUMBER	The proportion of login events that occurred during the day in all industries within 15 natural days associated with the ID card
events_i_login_g_15day_l1imbank_count	NUMBER	Number of records of login events in the non-bank financial industry within 15 days associated with the ID card
events_i_login_g_15day_l1imbank_daytime_count	NUMBER	Number of login events in the non-bank financial industry associated with the ID card that occurred during the day within 15 days
events_i_login_g_15day_l1imbank_weekend_count	NUMBER	Number of login events in the non-bank financial industry associated with the ID card that occurred on weekends within 15 days
events_i_login_g_15day_l1imbank_workday_count	NUMBER	Number of login events in the non-bank financial industry that occurred on working days within 15 days associated with the ID card
events_i_login_g_15day_workday_count	NUMBER	Number of login events in all industries that occurred on weekdays within 15 days associated with the ID card
events_i_login_g_15day_workday_ratio	NUMBER	The proportion of login events in all industries associated with the ID card that occurred on weekdays within 15 natural days
events_i_login_g_180day_avg	NUMBER	The average number of daily records in login events in all industries associated with the ID card within 180 natural days
events_i_login_g_180day_count	NUMBER	Number of login events in all industries within 180 days associated with the ID card
events_i_login_g_180day_daytime_count	NUMBER	Number of login events in the daytime in all industries within 180 days associated with the ID card
events_i_login_g_180day_daytime_ratio	NUMBER	The proportion of login events that occurred during the day in all industries within 180 natural days associated with the ID card
events_i_login_g_180day_l1imbank_count	NUMBER	Number of records of login events in the non-bank financial industry within 180 days associated with the ID card
events_i_login_g_180day_l1imbank_daytime_count	NUMBER	Number of login events in the non-bank financial industry associated with the ID card that occurred during the day within 180 days
events_i_login_g_180day_l1imbank_weekend_count	NUMBER	Number of login events in the non-bank financial industry associated with the ID card that occurred on weekends within 180 days
events_i_login_g_180day_l1imbank_workday_count	NUMBER	Number of login events in the non-bank financial industry associated with the ID card that occurred on working days within 180 days
events_i_login_g_180day_workday_count	NUMBER	Number of login events in all industries that occurred on weekdays within 180 days associated with the ID card
events_i_login_g_180day_workday_ratio	NUMBER	The proportion of login events in all industries associated with the ID card that occurred on weekdays within 180 natural days
events_i_login_g_30day_avg	NUMBER	The average number of daily records in login events in all industries associated with the ID card within 30 natural days
events_i_login_g_30day_count	NUMBER	The number of login events in all industries within 30 days associated with the ID card
events_i_login_g_30day_daytime_count	NUMBER	Number of login events in all industries that occurred during the day within 30 days associated with the ID card
events_i_login_g_30day_daytime_ratio	NUMBER	The proportion of login events that occurred during the day in all industries within 30 natural days associated with the ID card
events_i_login_g_30day_l1imbank_count	NUMBER	Number of records of login events in the non-bank financial industry within 30 days associated with the ID card
events_i_login_g_30day_l1imbank_daytime_count	NUMBER	Number of login events in the non-bank financial industry associated with the ID card that occurred during the day within 30 days
events_i_login_g_30day_l1imbank_weekend_count	NUMBER	Number of login events in the non-bank financial industry associated with the ID card that occurred on weekends within 30 days
events_i_login_g_30day_l1imbank_workday_count	NUMBER	Number of login events in the non-bank financial industry associated with the ID card that occurred on working days within 30 days
events_i_login_g_30day_workday_count	NUMBER	Number of login events in all industries that occurred on weekdays within 30 days associated with the ID card
events_i_login_g_30day_workday_ratio	NUMBER	The proportion of login events in all industries associated with the ID card that occurred on weekdays within 30 natural days
events_i_login_g_365day_avg	NUMBER	The average number of daily records in login events in all industries associated with the ID card within 365 natural days
events_i_login_g_365day_count	NUMBER	Number of login events in all industries within 365 days associated with the ID card
events_i_login_g_365day_daytime_count	NUMBER	Number of login events in all industries that occurred during the day within 365 days associated with the ID card
events_i_login_g_365day_daytime_ratio	NUMBER	The proportion of login events in all industries associated with the ID card that occurred during the day within 365 natural days
events_i_login_g_365day_l1imbank_count	NUMBER	Number of records of login events in the non-bank financial industry within 365 days associated with the ID card
events_i_login_g_365day_l1imbank_daytime_count	NUMBER	Number of login events in the non-bank financial industry associated with the ID card that occurred during the day within 365 days
events_i_login_g_365day_l1imbank_weekend_count	NUMBER	Number of login events in the non-bank financial industry associated with the ID card that occurred on weekends within 365 days
events_i_login_g_365day_l1imbank_workday_count	NUMBER	Number of login events in the non-bank financial industry associated with the ID card that occurred on working days within 365 days
events_i_login_g_365day_workday_count	NUMBER	Number of login events in all industries associated with ID cards that occurred on weekdays within 365 days
events_i_login_g_365day_workday_ratio	NUMBER	The proportion of login events in all industries associated with the ID card that occurred on weekdays within 365 natural days
events_i_login_g_60day_avg	NUMBER	The average number of daily records in login events in all industries associated with the ID card within 60 natural days
events_i_login_g_60day_count	NUMBER	Number of login events in all industries within 60 days associated with the ID card
events_i_login_g_60day_daytime_count	NUMBER	Number of login events in all industries that occurred during the day within 60 days associated with the ID card
events_i_login_g_60day_daytime_ratio	NUMBER	The proportion of login events that occurred during the day in all industries within 60 natural days associated with the ID card
events_i_login_g_60day_l1imbank_count	NUMBER	Number of records of login events in the non-bank financial industry within 60 days associated with the ID card
events_i_login_g_60day_l1imbank_daytime_count	NUMBER	Number of login events in the non-bank financial industry associated with the ID card that occurred during the day within 60 days
events_i_login_g_60day_l1imbank_weekend_count	NUMBER	Number of login events in the non-bank financial industry associated with the ID card that occurred on weekends within 60 days
events_i_login_g_60day_l1imbank_workday_count	NUMBER	Number of login events in the non-bank financial industry associated with the ID card that occurred on working days within 60 days
events_i_login_g_60day_workday_count	NUMBER	Number of login events in all industries that occurred on weekdays within 60 days associated with the ID card
events_i_login_g_60day_workday_ratio	NUMBER	The proportion of login events in all industries associated with the ID card that occurred on weekdays within 60 natural days
events_i_login_g_90day_avg	NUMBER	The average number of daily records in login events in all industries associated with the ID card within 90 natural days
events_i_login_g_90day_count	NUMBER	Number of login events in all industries within 90 days associated with the ID card
events_i_login_g_90day_daytime_count	NUMBER	Number of login events in all industries that occurred during the day within 90 days associated with the ID card
events_i_login_g_90day_daytime_ratio	NUMBER	The proportion of login events that occurred during the day in all industries within 90 natural days associated with the ID card
events_i_login_g_90day_l1imbank_count	NUMBER	Number of records of login events in the non-bank financial industry within 90 days associated with the ID card
events_i_login_g_90day_l1imbank_daytime_count	NUMBER	Number of login events in the non-bank financial industry associated with the ID card that occurred during the day within 90 days
events_i_login_g_90day_l1imbank_weekend_count	NUMBER	Number of login events in the non-bank financial industry associated with the ID card that occurred on weekends within 90 days
events_i_login_g_90day_l1imbank_workday_count	NUMBER	Number of login events in the non-bank financial industry associated with the ID card that occurred on working days within 90 days
events_i_login_g_90day_workday_count	NUMBER	Number of login events in all industries that occurred on weekdays within 90 days associated with the ID card
events_i_login_g_90day_workday_ratio	NUMBER	The proportion of login events in all industries associated with the ID card that occurred on weekdays within 90 natural days
events_i_m_all_g_15day_d_count	NUMBER	The number of different mobile phone numbers in all industries and all events within 15 days associated with the ID card
events_i_m_all_g_180day_d_count	NUMBER	The number of different mobile phone numbers in all industries and all events within 180 days associated with the ID card
events_i_m_all_g_30day_d_count	NUMBER	The number of different mobile phone numbers in all industries and all events within 30 days associated with the ID card
events_i_m_all_g_365day_d_count	NUMBER	The number of different mobile phone numbers associated with the ID card in all industries and all events within 365 days
events_i_m_all_g_60day_d_count	NUMBER	The number of different mobile phone numbers in all industries and all events within 60 days associated with the ID card
events_i_m_all_g_90day_d_count	NUMBER	The number of different mobile phone numbers in all industries and all events within 90 days associated with the ID card
events_i_maxcnt_dayperiod_all_g_15day_l1imbank_value	NUMBER	The most preferred time period for all events in the non-bank financial industry within 15 days of the ID card being linked
events_i_maxcnt_dayperiod_all_g_180day_l1imbank_value	NUMBER	The most preferred time period for all events in the non-bank financial industry within 180 days associated with the ID card
events_i_maxcnt_dayperiod_all_g_30day_l1imbank_value	NUMBER	The most preferred time period for all events in the non-bank financial industry within 30 days of the ID card being linked
events_i_maxcnt_dayperiod_all_g_365day_l1imbank_value	NUMBER	The most preferred time period for all events in the non-bank financial industry within 365 days associated with the ID card
events_i_maxcnt_dayperiod_all_g_60day_l1imbank_value	NUMBER	The most preferred time period for all events in the non-bank financial industry within 60 days of the ID card being linked
events_i_maxcnt_dayperiod_all_g_90day_l1imbank_value	NUMBER	The most preferred time period for all events in the non-bank financial industry within 90 days associated with the ID card
events_i_maxcnt_wkperoid_disburse_g_15day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the non-bank financial industry credit events associated with the ID card within 15 natural days
events_i_maxcnt_wkperoid_disburse_g_180day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the non-bank financial industry credit events associated with the ID card within 180 natural days
events_i_maxcnt_wkperoid_disburse_g_30day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the non-bank financial industry credit events associated with the ID card within 30 natural days
events_i_maxcnt_wkperoid_disburse_g_365day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the non-bank financial industry credit events associated with the ID card within 365 natural days
events_i_maxcnt_wkperoid_disburse_g_60day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the non-bank financial industry credit events associated with the ID card within 60 natural days
events_i_maxcnt_wkperoid_disburse_g_90day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the non-bank financial industry credit events associated with the ID card within 90 natural days
events_i_maxcnt_wkperoid_loan_g_15day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the credit granting events in the non-bank financial industry within 15 natural days associated with the ID card
events_i_maxcnt_wkperoid_loan_g_180day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the credit granting events in the non-bank financial industry within 180 natural days associated with the ID card
events_i_maxcnt_wkperoid_loan_g_30day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the credit granting events in the non-bank financial industry within 30 natural days associated with the ID card
events_i_maxcnt_wkperoid_loan_g_365day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the credit granting events in the non-bank financial industry within 365 natural days associated with the ID card
events_i_maxcnt_wkperoid_loan_g_60day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the credit granting events in the non-bank financial industry within 60 natural days associated with the ID card
events_i_maxcnt_wkperoid_loan_g_90day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the credit granting events in the non-bank financial industry within 90 natural days associated with the ID card
events_i_maxcnt_wkperoid_login_g_15day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the login events in the non-bank financial industry within 15 natural days associated with the ID card
events_i_maxcnt_wkperoid_login_g_180day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the login events in the non-bank financial industry within 180 natural days associated with the ID card
events_i_maxcnt_wkperoid_login_g_30day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the login events in the non-bank financial industry within 30 natural days associated with the ID card
events_i_maxcnt_wkperoid_login_g_365day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the login events in the non-bank financial industry within 365 natural days associated with the ID card
events_i_maxcnt_wkperoid_login_g_60day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the login events in the non-bank financial industry within 60 natural days associated with the ID card
events_i_maxcnt_wkperoid_login_g_90day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the login events in the non-bank financial industry within 90 natural days associated with the ID card
events_i_min_mthly_disburse_g_15day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the credit events of the non-bank financial industry within 15 days associated with the ID card
events_i_min_mthly_disburse_g_180day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the credit events of the non-bank financial industry within 180 days associated with the ID card
events_i_min_mthly_disburse_g_30day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the credit events of the non-bank financial industry within 30 days associated with the ID card
events_i_min_mthly_disburse_g_365day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the credit events of the non-bank financial industry within 365 days associated with the ID card
events_i_min_mthly_disburse_g_60day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the credit events of the non-bank financial industry within 60 days associated with the ID card
events_i_min_mthly_disburse_g_90day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the credit events in the non-bank financial industry within 90 days associated with the ID card
events_i_min_mthly_idv_g_15day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in identity authentication events in the non-bank financial industry within 15 days associated with the ID card
events_i_min_mthly_idv_g_180day_l1imbank_count	NUMBER	The minimum number of records in a full calendar month in identity authentication events in the non-bank financial industry within 180 days associated with the ID card
events_i_min_mthly_idv_g_30day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in identity authentication events in the non-bank financial industry within 30 days associated with the ID card
events_i_min_mthly_idv_g_365day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in identity authentication events in the non-bank financial industry within 365 days associated with the ID card
events_i_min_mthly_idv_g_60day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in identity authentication events in the non-bank financial industry within 60 days associated with the ID card
events_i_min_mthly_idv_g_90day_l1imbank_count	NUMBER	The minimum number of records in a full calendar month in identity authentication events in the non-bank financial industry within 90 days associated with the ID card
events_i_min_mthly_loan_g_15day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the credit granting event in the non-bank financial industry within 15 days associated with the ID card
events_i_min_mthly_loan_g_180day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the credit granting event in the non-bank financial industry within 180 days associated with the ID card
events_i_min_mthly_loan_g_30day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the credit event of the non-bank financial industry within 30 days associated with the ID card
events_i_min_mthly_loan_g_365day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the credit granting event in the non-bank financial industry within 365 days associated with the ID card
events_i_min_mthly_loan_g_60day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the credit granting events in the non-bank financial industry within 60 days associated with the ID card
events_i_min_mthly_loan_g_90day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the credit granting event in the non-bank financial industry within 90 days associated with the ID card
events_i_min_mthly_login_g_15day_l1imbank_count	NUMBER	The minimum number of complete natural month records in the login events in the non-bank financial industry within 15 days associated with the ID card
events_i_min_mthly_login_g_180day_l1imbank_count	NUMBER	The minimum number of complete natural month records in the login events in the non-bank financial industry within 180 days associated with the ID card
events_i_min_mthly_login_g_30day_l1imbank_count	NUMBER	The minimum number of complete natural month records in the login events in the non-bank financial industry within 30 days associated with the ID card
events_i_min_mthly_login_g_365day_l1imbank_count	NUMBER	The minimum number of complete natural month records in the login events in the non-bank financial industry within 365 days associated with the ID card
events_i_min_mthly_login_g_60day_l1imbank_count	NUMBER	The minimum number of complete natural month records in the login events in the non-bank financial industry within 60 days associated with the ID card
events_i_min_mthly_login_g_90day_l1imbank_count	NUMBER	The minimum number of complete natural month records in the login events in the non-bank financial industry within 90 days associated with the ID card
events_i_mth_disburse_g_15day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit events in the non-bank financial industry within 15 days associated with the ID card
events_i_mth_disburse_g_180day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit events in the non-bank financial industry within 180 days associated with the ID card
events_i_mth_disburse_g_30day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit events in the non-bank financial industry within 30 days associated with the ID card
events_i_mth_disburse_g_365day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit events in the non-bank financial industry within 365 days associated with the ID card
events_i_mth_disburse_g_60day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit events in the non-bank financial industry within 60 days associated with the ID card
events_i_mth_disburse_g_90day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit events in the non-bank financial industry within 90 days associated with the ID card
events_i_mth_idv_g_15day_l1imbank_d_count	NUMBER	The number of complete natural months with records of identity authentication events in the non-bank financial industry within 15 days associated with the ID card
events_i_mth_idv_g_180day_l1imbank_d_count	NUMBER	The number of complete natural months with records of identity authentication events in the non-bank financial industry within 180 days associated with the ID card
events_i_mth_idv_g_30day_l1imbank_d_count	NUMBER	The number of complete natural months with records of identity authentication events in the non-bank financial industry within 30 days associated with the ID card
events_i_mth_idv_g_365day_l1imbank_d_count	NUMBER	The number of complete natural months with records of identity authentication events in the non-bank financial industry within 365 days associated with the ID card
events_i_mth_idv_g_60day_l1imbank_d_count	NUMBER	The number of complete natural months with records of identity authentication events in the non-bank financial industry within 60 days associated with the ID card
events_i_mth_idv_g_90day_l1imbank_d_count	NUMBER	The number of complete natural months with records of identity authentication events in the non-bank financial industry within 90 days associated with the ID card
events_i_mth_loan_g_15day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit granting events in the non-bank financial industry within 15 days associated with the ID card
events_i_mth_loan_g_180day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit granting events in the non-bank financial industry within 180 days associated with the ID card
events_i_mth_loan_g_30day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit granting events in the non-bank financial industry within 30 days associated with the ID card
events_i_mth_loan_g_365day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit granting events in the non-bank financial industry within 365 days associated with the ID card
events_i_mth_loan_g_60day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit granting events in the non-bank financial industry within 60 days associated with the ID card
events_i_mth_loan_g_90day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit granting events in the non-bank financial industry within 90 days associated with the ID card
events_i_mth_login_g_15day_l1imbank_d_count	NUMBER	The number of complete natural months with records of login events in the non-bank financial industry within 15 days associated with the ID card
events_i_mth_login_g_180day_l1imbank_d_count	NUMBER	The number of complete natural months with records of login events in the non-bank financial industry within 180 days associated with the ID card
events_i_mth_login_g_30day_l1imbank_d_count	NUMBER	The number of complete natural months with records of login events in the non-bank financial industry within 30 days associated with the ID card
events_i_mth_login_g_365day_l1imbank_d_count	NUMBER	The number of complete natural months with records of login events in the non-bank financial industry within 365 days associated with the ID card
events_i_mth_login_g_60day_l1imbank_d_count	NUMBER	The number of complete natural months with records of login events in the non-bank financial industry within 60 days associated with the ID card
events_i_mth_login_g_90day_l1imbank_d_count	NUMBER	The number of complete natural months with records of login events in the non-bank financial industry within 90 days associated with the ID card
events_i_partner_all_g_15day_avg	NUMBER	The average number of different platforms in a single day for all events in the industry within 15 natural days associated with the ID card
events_i_partner_all_g_15day_d_count	NUMBER	The number of different platforms in all events in all industries within 15 days associated with the ID card
events_i_partner_all_g_180day_avg	NUMBER	The average number of different platforms in a single day in all events in the industry within 180 natural days associated with the ID card
events_i_partner_all_g_180day_d_count	NUMBER	The number of different platforms in all events in all industries within 180 days associated with the ID card
events_i_partner_all_g_30day_avg	NUMBER	The average number of different platforms in a single day in all events in the industry within 30 natural days associated with the ID card
events_i_partner_all_g_30day_d_count	NUMBER	The number of different platforms in all events in all industries within 30 days associated with the ID card
events_i_partner_all_g_365day_avg	NUMBER	The average number of different platforms in a single day in all events in the industry within 365 natural days associated with the ID card
events_i_partner_all_g_365day_d_count	NUMBER	The number of different platforms in all events in all industries within 365 days associated with the ID card
events_i_partner_all_g_60day_avg	NUMBER	The average number of different platforms in a single day in all events in the industry within 60 natural days associated with the ID card
events_i_partner_all_g_60day_d_count	NUMBER	The number of different platforms in all events in all industries within 60 days associated with the ID card
events_i_partner_all_g_90day_avg	NUMBER	The average number of different platforms in a single day in all events in the industry within 90 natural days associated with the ID card
events_i_partner_all_g_90day_d_count	NUMBER	The number of different platforms in all events in all industries within 90 days associated with the ID card
events_i_partner_disburse_g_15day_d_count	NUMBER	The number of different platforms in the credit card usage events in all industries within 15 days associated with the ID card
events_i_partner_disburse_g_15day_l1imbank_d_count	NUMBER	Number of different platforms in the non-bank financial industry credit use events within 15 days associated with the ID card
events_i_partner_disburse_g_15day_ratio	NUMBER	The ratio of the number of different platforms in the credit-using events in the whole industry within 15 natural days to the number of different platforms in the corresponding period
events_i_partner_disburse_g_180day_d_count	NUMBER	The number of different platforms in the credit events of all industries within 180 days associated with the ID card
events_i_partner_disburse_g_180day_l1imbank_d_count	NUMBER	Number of different platforms in the non-bank financial industry credit incidents within 180 days associated with the ID card
events_i_partner_disburse_g_180day_ratio	NUMBER	The ratio of the number of different platforms in the credit event in the whole industry within 180 natural days associated with the ID card to the number of all different platforms in the corresponding time
events_i_partner_disburse_g_30day_d_count	NUMBER	The number of different platforms in the credit card usage events in all industries within 30 days associated with the ID card
events_i_partner_disburse_g_30day_l1imbank_d_count	NUMBER	Number of different platforms in the non-bank financial industry credit incidents associated with the ID card within 30 days
events_i_partner_disburse_g_30day_ratio	NUMBER	The ratio of the number of different platforms in the credit-using events in the whole industry within 30 natural days to the number of different platforms in the corresponding period
events_i_partner_disburse_g_30to180cd_d_count	NUMBER	The number of different platforms in all industries’ credit events within 30 to 180 days associated with the ID card
events_i_partner_disburse_g_30to365cd_d_count	NUMBER	The number of different platforms in all industries in which the ID card is associated with credit card usage events within 30 to 365 days
events_i_partner_disburse_g_30to60cd_d_count	NUMBER	The number of different platforms in all industries’ credit events within 30 to 60 days associated with the ID card
events_i_partner_disburse_g_30to90cd_d_count	NUMBER	The number of different platforms in all industries’ credit events within 30 to 90 days associated with the ID card
events_i_partner_disburse_g_365day_d_count	NUMBER	The number of different platforms in the credit events of all industries associated with the ID card within 365 days
events_i_partner_disburse_g_365day_l1imbank_d_count	NUMBER	Number of different platforms in the non-bank financial industry credit event associated with the ID card within 365 days
events_i_partner_disburse_g_365day_ratio	NUMBER	The ratio of the number of different platforms in the credit-using events in the whole industry within 365 natural days associated with the ID card to the number of all different platforms in the corresponding period
events_i_partner_disburse_g_60day_d_count	NUMBER	The number of different platforms in the credit events of all industries within 60 days associated with the ID card
events_i_partner_disburse_g_60day_l1imbank_d_count	NUMBER	Number of different platforms in the non-bank financial industry credit event within 60 days associated with the ID card
events_i_partner_disburse_g_60day_ratio	NUMBER	The ratio of the number of different platforms in the credit event in the whole industry within 60 natural days associated with the ID card to the number of all different platforms in the corresponding time
events_i_partner_disburse_g_90day_d_count	NUMBER	The number of different platforms in the credit events of all industries within 90 days associated with the ID card
events_i_partner_disburse_g_90day_l1imbank_d_count	NUMBER	Number of different platforms in the non-bank financial industry credit incidents within 90 days associated with the ID card
events_i_partner_disburse_g_90day_ratio	NUMBER	The ratio of the number of different platforms in the credit-using events in the whole industry within 90 natural days to the number of different platforms in the corresponding period
events_i_partner_idv_g_15day_d_count	NUMBER	The number of different platforms in identity authentication events in all industries within 15 days associated with the ID card
events_i_partner_idv_g_15day_l1imbank_d_count	NUMBER	Number of different platforms in identity authentication events in the non-bank financial industry within 15 days associated with the ID card
events_i_partner_idv_g_180day_d_count	NUMBER	The number of different platforms in identity authentication events in all industries within 180 days associated with the ID card
events_i_partner_idv_g_180day_l1imbank_d_count	NUMBER	Number of different platforms in identity authentication events in the non-bank financial industry within 180 days associated with the ID card
events_i_partner_idv_g_30day_d_count	NUMBER	The number of different platforms in identity authentication events in all industries within 30 days associated with the ID card
events_i_partner_idv_g_30day_l1imbank_d_count	NUMBER	Number of different platforms in identity authentication events in the non-bank financial industry within 30 days associated with the ID card
events_i_partner_idv_g_30to180cd_d_count	NUMBER	The number of different platforms in identity authentication events in all industries within 30 to 180 days associated with the ID card
events_i_partner_idv_g_30to365cd_d_count	NUMBER	The number of different platforms in identity authentication events in all industries within 30 to 365 days associated with the ID card
events_i_partner_idv_g_30to60cd_d_count	NUMBER	The number of different platforms in identity authentication events in all industries within 30 to 60 days associated with the ID card
events_i_partner_idv_g_30to90cd_d_count	NUMBER	The number of different platforms in identity authentication events in all industries within 30 to 90 days associated with the ID card
events_i_partner_idv_g_365day_d_count	NUMBER	The number of different platforms in identity authentication events in all industries within 365 days associated with the ID card
events_i_partner_idv_g_365day_l1imbank_d_count	NUMBER	Number of different platforms in identity authentication events in the non-bank financial industry within 365 days associated with the ID card
events_i_partner_idv_g_60day_d_count	NUMBER	The number of different platforms in identity authentication events in all industries within 60 days associated with the ID card
events_i_partner_idv_g_60day_l1imbank_d_count	NUMBER	Number of different platforms in identity authentication events in the non-bank financial industry within 60 days associated with the ID card
events_i_partner_idv_g_90day_d_count	NUMBER	The number of different platforms in identity authentication events in all industries within 90 days associated with the ID card
events_i_partner_idv_g_90day_l1imbank_d_count	NUMBER	Number of different platforms in identity authentication events in the non-bank financial industry within 90 days associated with the ID card
events_i_partner_loan_g_15day_d_count	NUMBER	The number of different platforms in the credit granting events in all industries within 15 days associated with the ID card
events_i_partner_loan_g_15day_l1imbank_d_count	NUMBER	The number of different platforms in the credit granting event in the non-bank financial industry within 15 days associated with the ID card
events_i_partner_loan_g_15day_ratio	NUMBER	The ratio of the number of different platforms in the credit granting events in the whole industry within 15 natural days to the number of different platforms in the corresponding time
events_i_partner_loan_g_180day_d_count	NUMBER	The number of different platforms in the credit granting events in all industries within 180 days associated with the ID card
events_i_partner_loan_g_180day_l1imbank_d_count	NUMBER	The number of different platforms in the credit granting event in the non-bank financial industry within 180 days associated with the ID card
events_i_partner_loan_g_180day_ratio	NUMBER	The ratio of the number of different platforms in the credit granting events in the whole industry within 180 natural days to the number of different platforms in the corresponding period
events_i_partner_loan_g_30day_d_count	NUMBER	The number of different platforms in the credit granting events in all industries within 30 days associated with the ID card
events_i_partner_loan_g_30day_l1imbank_d_count	NUMBER	The number of different platforms in the credit granting event in the non-bank financial industry within 30 days associated with the ID card
events_i_partner_loan_g_30day_ratio	NUMBER	The ratio of the number of different platforms in the credit granting events in the whole industry within 30 natural days to the number of different platforms in the corresponding time
events_i_partner_loan_g_30to180cd_d_count	NUMBER	The number of different platforms in the credit granting events in all industries within 30 to 180 days associated with the ID card
events_i_partner_loan_g_30to365cd_d_count	NUMBER	The number of different platforms in the credit granting events in all industries within 30 to 365 days associated with the ID card
events_i_partner_loan_g_30to60cd_d_count	NUMBER	The number of different platforms in the credit granting events in all industries within 30 to 60 days associated with the ID card
events_i_partner_loan_g_30to90cd_d_count	NUMBER	The number of different platforms in the credit granting events in all industries within 30 to 90 days associated with the ID card
events_i_partner_loan_g_365day_d_count	NUMBER	The number of different platforms in the credit granting events in all industries within 365 days associated with the ID card
events_i_partner_loan_g_365day_l1imbank_d_count	NUMBER	The number of different platforms in the credit granting event in the non-bank financial industry within 365 days associated with the ID card
events_i_partner_loan_g_365day_ratio	NUMBER	The ratio of the number of different platforms in the credit granting events in the whole industry within 365 natural days to the number of different platforms in the corresponding time
events_i_partner_loan_g_60day_d_count	NUMBER	The number of different platforms in the credit granting events in all industries within 60 days associated with the ID card
events_i_partner_loan_g_60day_l1imbank_d_count	NUMBER	The number of different platforms in the credit granting event in the non-bank financial industry within 60 days associated with the ID card
events_i_partner_loan_g_60day_ratio	NUMBER	The ratio of the number of different platforms in the credit granting events in the whole industry within 60 natural days to the number of different platforms in the corresponding period
events_i_partner_loan_g_90day_d_count	NUMBER	The number of different platforms in the credit granting events in all industries within 90 days associated with the ID card
events_i_partner_loan_g_90day_l1imbank_d_count	NUMBER	The number of different platforms in the credit granting event in the non-bank financial industry within 90 days associated with the ID card
events_i_partner_loan_g_90day_ratio	NUMBER	The ratio of the number of different platforms in the credit granting events in the industry within 90 natural days to the number of different platforms in the corresponding period
events_i_partner_login_g_15day_d_count	NUMBER	The number of different platforms in the login events of all industries associated with the ID card within 15 days
events_i_partner_login_g_15day_l1imbank_d_count	NUMBER	Number of different platforms in the login events in the non-bank financial industry within 15 days associated with the ID card
events_i_partner_login_g_15day_ratio	NUMBER	The ratio of the number of different platforms in the login events of the whole industry within 15 natural days associated with the ID card to the number of all different platforms in the corresponding time
events_i_partner_login_g_180day_d_count	NUMBER	The number of different platforms in the login events of all industries associated with the ID card within 180 days
events_i_partner_login_g_180day_l1imbank_d_count	NUMBER	Number of different platforms in the login events in the non-bank financial industry within 180 days associated with the ID card
events_i_partner_login_g_180day_ratio	NUMBER	The ratio of the number of different platforms in the login events of the whole industry within 180 natural days associated with the ID card to the number of all different platforms in the corresponding time
events_i_partner_login_g_30day_d_count	NUMBER	The number of different platforms in login events in all industries within 30 days associated with the ID card
events_i_partner_login_g_30day_l1imbank_d_count	NUMBER	Number of different platforms in the login events in the non-bank financial industry within 30 days associated with the ID card
events_i_partner_login_g_30day_ratio	NUMBER	The ratio of the number of different platforms in the login events of the whole industry within 30 natural days associated with the ID card to the number of all different platforms in the corresponding time
events_i_partner_login_g_30to180cd_d_count	NUMBER	The number of different platforms in login events in all industries within 30 to 180 days associated with the ID card
events_i_partner_login_g_30to365cd_d_count	NUMBER	The number of different platforms in login events in all industries within 30 to 365 days associated with the ID card
events_i_partner_login_g_30to60cd_d_count	NUMBER	The number of different platforms in login events in all industries within 30 to 60 days associated with the ID card
events_i_partner_login_g_30to90cd_d_count	NUMBER	The number of different platforms in login events in all industries within 30 to 90 days associated with the ID card
events_i_partner_login_g_365day_d_count	NUMBER	The number of different platforms in the login events of all industries associated with the ID card within 365 days
events_i_partner_login_g_365day_l1imbank_d_count	NUMBER	Number of different platforms in the login events in the non-bank financial industry within 365 days associated with the ID card
events_i_partner_login_g_365day_ratio	NUMBER	The ratio of the number of different platforms in the login events of the whole industry within 365 natural days associated with the ID card to the number of all different platforms in the corresponding time
events_i_partner_login_g_60day_d_count	NUMBER	The number of different platforms in login events in all industries within 60 days associated with the ID card
events_i_partner_login_g_60day_l1imbank_d_count	NUMBER	Number of different platforms in the login events in the non-bank financial industry within 60 days associated with the ID card
events_i_partner_login_g_60day_ratio	NUMBER	The ratio of the number of different platforms in the login events of the whole industry within 60 natural days associated with the ID card to the number of all different platforms in the corresponding time
events_i_partner_login_g_90day_d_count	NUMBER	The number of different platforms in the login events of all industries associated with the ID card within 90 days
events_i_partner_login_g_90day_l1imbank_d_count	NUMBER	Number of different platforms in the login events in the non-bank financial industry within 90 days associated with the ID card
events_i_partner_login_g_90day_ratio	NUMBER	The ratio of the number of different platforms in the login events of the whole industry within 90 natural days associated with the ID card to the number of all different platforms in the corresponding time
events_i_partner_register_g_15day_d_count	NUMBER	The number of different platforms in the registration events in the whole industry within 15 days associated with the ID card
events_i_partner_register_g_15day_ratio	NUMBER	The ratio of the number of different platforms in the registration events in the whole industry within 15 natural days to the number of different platforms in the corresponding time
events_i_partner_register_g_180day_d_count	NUMBER	The number of different platforms in the registration events in the whole industry within 180 days associated with the ID card
events_i_partner_register_g_180day_ratio	NUMBER	The ratio of the number of different platforms in the registration events of the whole industry within 180 natural days associated with the ID card to the number of all different platforms in the corresponding time
events_i_partner_register_g_30day_d_count	NUMBER	The number of different platforms in the registration events in the entire industry within 30 days associated with the ID card
events_i_partner_register_g_30day_ratio	NUMBER	The ratio of the number of different platforms in the registration events in the whole industry within 30 natural days to the number of different platforms in the corresponding time
events_i_partner_register_g_365day_d_count	NUMBER	The number of different platforms in the registration events in the entire industry within 365 days associated with the ID card
events_i_partner_register_g_365day_ratio	NUMBER	The ratio of the number of different platforms in the registration events of the entire industry within 365 natural days associated with the ID card to the number of all different platforms in the corresponding time
events_i_partner_register_g_60day_d_count	NUMBER	The number of different platforms in the registration events in the whole industry within 60 days associated with the ID card
events_i_partner_register_g_60day_ratio	NUMBER	The ratio of the number of different platforms in the registration events in the whole industry within 60 natural days associated with the ID card to the number of all different platforms in the corresponding time
events_i_partner_register_g_90day_d_count	NUMBER	The number of different platforms in the registration events in the entire industry within 90 days associated with the ID card
events_i_partner_register_g_90day_ratio	NUMBER	The ratio of the number of different platforms in the registration events in the whole industry within 90 natural days associated with the ID card to the number of all different platforms in the corresponding time
events_i_reject_all_g_15day_ratio	NUMBER	The percentage of records with a decision result of reject in all industries and all events within 15 natural days associated with the ID card
events_i_reject_all_g_180day_ratio	NUMBER	The percentage of records with a decision result of reject in all industries and all events within 180 natural days associated with the ID card
events_i_reject_all_g_30day_ratio	NUMBER	The percentage of records with a decision result of reject in all industries and all events within 30 natural days associated with the ID card
events_i_reject_all_g_365day_ratio	NUMBER	The percentage of records with a decision result of reject in all industries and all events within 365 natural days associated with the ID card
events_i_reject_all_g_60day_ratio	NUMBER	The percentage of records with a decision result of reject in all industries and all events within 60 natural days associated with the ID card
events_i_reject_all_g_90day_ratio	NUMBER	The percentage of records with a decision result of reject in all industries and all events within 90 natural days associated with the ID card
events_i_review_all_g_15day_ratio	NUMBER	The percentage of records with a decision result of review in all industries and all events within 15 natural days associated with the ID card
events_i_review_all_g_180day_ratio	NUMBER	The percentage of records with a decision result of review in all industries and all events within 180 natural days associated with the ID card
events_i_review_all_g_30day_ratio	NUMBER	The percentage of records with a decision result of review in all industries and all events within 30 natural days associated with the ID card
events_i_review_all_g_365day_ratio	NUMBER	The percentage of records with a decision result of review in all industries and all events within 365 natural days associated with the ID card
events_i_review_all_g_60day_ratio	NUMBER	The percentage of records with a decision result of review in all industries and all events within 60 natural days associated with the ID card
events_i_review_all_g_90day_ratio	NUMBER	The percentage of records with a decision result of review in all industries and all events within 90 natural days associated with the ID card
events_i_runningdangerapps_all_g_30day_d_count	NUMBER	The number of deduplicated risk tags of risky devices associated with ID cards in the past 30 days
events_i_runningdangerapps_all_g_7day_d_count	NUMBER	The number of deduplicated risk tags of risky devices associated with ID cards in the past 7 days
events_i_std_10day_partner_all_g_180day_d_count	NUMBER	The standard deviation of the number of different platforms every 10 days for all events in the industry within 180 days associated with the ID card
events_i_std_10day_partner_all_g_30day_d_count	NUMBER	The standard deviation of the number of different platforms every 10 days for all events in the industry within 30 days associated with the ID card
events_i_std_10day_partner_all_g_365day_d_count	NUMBER	The standard deviation of the number of different platforms every 10 days for all events in the industry within 365 days associated with the ID card
events_i_std_10day_partner_all_g_60day_d_count	NUMBER	The standard deviation of the number of different platforms every 10 days for all events in the industry within 60 days associated with the ID card
events_i_std_10day_partner_all_g_90day_d_count	NUMBER	The standard deviation of the number of different platforms every 10 days for all events in the industry within 90 days associated with the ID card
events_i_timediff_all_g_15day	NUMBER	The maximum time interval of all records in all events in all industries in the last 15 days of the ID card
events_i_timediff_all_g_15day_avg	NUMBER	The average duration of all records in all events in the industry within 15 natural days associated with the ID card (the maximum interval between all records within the corresponding period divided by the number of records minus 1)
events_i_timediff_all_g_15day_l1imbank	NUMBER	The maximum time interval of all records of all events in the non-bank financial industry in the last 15 days of the ID card
events_i_timediff_all_g_15day_l1imbank_avg	NUMBER	The average duration of all records in all events in the non-bank financial industry within 15 natural days associated with the ID card (the maximum interval between all records within the corresponding period divided by the number of records minus 1)
events_i_timediff_all_g_180day	NUMBER	The maximum time interval of all records in all events in all industries in the last 180 days of the ID card
events_i_timediff_all_g_180day_avg	NUMBER	The average duration of all records in all events in the industry within 180 natural days associated with the ID card (the maximum interval between all records within the corresponding period divided by the number of records minus 1)
events_i_timediff_all_g_180day_l1imbank	NUMBER	The maximum time interval of all records of all events in the non-bank financial industry in the last 180 days of the ID card
events_i_timediff_all_g_180day_l1imbank_avg	NUMBER	The average duration of all records in all events in the non-bank financial industry within 180 natural days associated with the ID card (the maximum interval between all records within the corresponding period divided by the number of records minus 1)
events_i_timediff_all_g_30day	NUMBER	The maximum time interval of all records in all events in all industries in the last 30 days of the ID card
events_i_timediff_all_g_30day_avg	NUMBER	The average duration of all records in all events in the industry within 30 natural days associated with the ID card (the maximum interval between all records within the corresponding period divided by the number of records minus 1)
events_i_timediff_all_g_30day_l1imbank	NUMBER	The maximum time interval of all records of all events in the non-bank financial industry in the last 30 days of the ID card
events_i_timediff_all_g_30day_l1imbank_avg	NUMBER	The average duration of all records in all events in the non-bank financial industry within 30 natural days associated with the ID card (the maximum interval between all records within the corresponding period divided by the number of records minus 1)
events_i_timediff_all_g_365day	NUMBER	The maximum time interval of all records in all events in all industries in the last 365 days of the ID card
events_i_timediff_all_g_365day_avg	NUMBER	The average duration of all records in all events in the industry within 365 natural days associated with the ID card (the maximum interval between all records within the corresponding period divided by the number of records minus 1)
events_i_timediff_all_g_365day_l1imbank	NUMBER	The maximum time interval of all records of all events in the non-bank financial industry in the last 365 days of the ID card
events_i_timediff_all_g_365day_l1imbank_avg	NUMBER	The average duration of all records in all events in the non-bank financial industry within 365 natural days associated with the ID card (the maximum interval between all records within the corresponding period divided by the number of records minus 1)
events_i_timediff_all_g_60day	NUMBER	The maximum time interval of all records in all events in all industries in the last 60 days of the ID card
events_i_timediff_all_g_60day_avg	NUMBER	The average duration of all records in all events in the industry within 60 natural days associated with the ID card (the maximum interval between all records within the corresponding period divided by the number of records minus 1)
events_i_timediff_all_g_60day_l1imbank	NUMBER	The maximum time interval of all records of all events in the non-bank financial industry in the last 60 days of the ID card
events_i_timediff_all_g_60day_l1imbank_avg	NUMBER	The average duration of all records in all events in the non-bank financial industry within 60 natural days associated with the ID card (the maximum interval between all records within the corresponding period divided by the number of records minus 1)
events_i_timediff_all_g_90day	NUMBER	The maximum time interval of all records in all events in all industries in the last 90 days of the ID card
events_i_timediff_all_g_90day_avg	NUMBER	The average duration of all records in all events in the industry within 90 natural days associated with the ID card (the maximum interval between all records within the corresponding period divided by the number of records minus 1)
events_i_timediff_all_g_90day_l1imbank	NUMBER	The maximum time interval of all records of all events in the non-bank financial industry in the last 90 days of the ID card
events_i_timediff_all_g_90day_l1imbank_avg	NUMBER	The average duration of all records in all events in the non-bank financial industry within 90 natural days associated with the ID card (the maximum interval between all records within the corresponding period divided by the number of records minus 1)
events_i_timediff_disburse_g_15day	NUMBER	The maximum time interval of all records of ID card usage events in all industries in the past 15 days
events_i_timediff_disburse_g_15day_avg	NUMBER	The average time interval between all records of credit card use events in all industries in the last 15 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_i_timediff_disburse_g_180day	NUMBER	The maximum time interval of all records in the ID card usage events in all industries in the last 180 days
events_i_timediff_disburse_g_180day_avg	NUMBER	The average time interval between all records of credit card use events in all industries in the last 180 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_i_timediff_disburse_g_30day	NUMBER	The maximum time interval of all records of ID card usage events in all industries in the last 30 days
events_i_timediff_disburse_g_30day_avg	NUMBER	The average time interval between all records of credit card use events in all industries in the last 30 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_i_timediff_disburse_g_365day	NUMBER	The maximum time interval of all records of ID card usage events in all industries in the past 365 days
events_i_timediff_disburse_g_365day_avg	NUMBER	The average time interval between all records of credit card use events in all industries in the last 365 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_i_timediff_disburse_g_60day	NUMBER	The maximum time interval of all records in the ID card usage events in all industries in the last 60 days
events_i_timediff_disburse_g_60day_avg	NUMBER	The average time interval between all records of credit card use events in all industries in the last 60 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_i_timediff_disburse_g_90day	NUMBER	The maximum time interval of all records in the ID card usage events in all industries in the last 90 days
events_i_timediff_disburse_g_90day_avg	NUMBER	The average time interval between all records of credit card use events in all industries in the last 90 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_i_timediff_idv_g_15day	NUMBER	The maximum time interval of all records of identity authentication events in all industries in the last 15 days
events_i_timediff_idv_g_180day	NUMBER	The maximum time interval of all records of identity authentication events in all industries in the last 180 days
events_i_timediff_idv_g_30day	NUMBER	The maximum time interval of all records of identity authentication events in all industries in the last 30 days
events_i_timediff_idv_g_365day	NUMBER	The maximum time interval of all records of identity authentication events in all industries in the last 365 days
events_i_timediff_idv_g_60day	NUMBER	The maximum time interval of all records of identity authentication events in all industries in the last 60 days
events_i_timediff_idv_g_90day	NUMBER	The maximum time interval of all records of identity authentication events in all industries in the last 90 days
events_i_timediff_loan_g_15day	NUMBER	The maximum time interval of all records of credit events in all industries in the last 15 days of the ID card
events_i_timediff_loan_g_15day_avg	NUMBER	The average time interval between all records of credit events in all industries in the last 15 natural days on the ID card (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_i_timediff_loan_g_180day	NUMBER	The maximum time interval of all records of credit events in all industries in the last 180 days of the ID card
events_i_timediff_loan_g_180day_avg	NUMBER	The average time interval between all records of credit events in all industries in the last 180 natural days under the ID card (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_i_timediff_loan_g_30day	NUMBER	The maximum time interval of all records of credit events in all industries in the last 30 days of the ID card
events_i_timediff_loan_g_30day_avg	NUMBER	The average time interval between all records of credit events in all industries in the last 30 natural days under the ID card (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_i_timediff_loan_g_365day	NUMBER	The maximum time interval of all records of credit events in all industries in the last 365 days of the ID card
events_i_timediff_loan_g_365day_avg	NUMBER	The average time interval between all records of credit events in all industries in the last 365 natural days under the ID card (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_i_timediff_loan_g_60day	NUMBER	The maximum time interval of all records of credit events in all industries in the last 60 days of the ID card
events_i_timediff_loan_g_60day_avg	NUMBER	The average time interval between all records of credit events in all industries in the last 60 natural days under the ID card (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_i_timediff_loan_g_90day	NUMBER	The maximum time interval of all records of credit events in all industries in the last 90 days of the ID card
events_i_timediff_loan_g_90day_avg	NUMBER	The average time interval between all records of credit events in all industries in the last 90 natural days under the ID card (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_i_timediff_login_g_15day	NUMBER	The maximum time interval of all records of login events in all industries in the last 15 days of the ID card
events_i_timediff_login_g_15day_avg	NUMBER	The average time interval between all the records of ID card login events in all industries in the last 15 natural days (the maximum time interval between all the records in the corresponding period divided by the number of records minus 1)
events_i_timediff_login_g_180day	NUMBER	The maximum time interval of all records of login events in all industries in the last 180 days of the ID card
events_i_timediff_login_g_180day_avg	NUMBER	The average time interval between all the records of ID card login events in all industries in the last 180 natural days (the maximum time interval between all the records in the corresponding period divided by the number of records minus 1)
events_i_timediff_login_g_30day	NUMBER	The maximum time interval of all records of login events in all industries in the last 30 days of the ID card
events_i_timediff_login_g_30day_avg	NUMBER	The average time interval between all the records of ID card login events in all industries in the last 30 natural days (the maximum time interval between all the records in the corresponding period divided by the number of records minus 1)
events_i_timediff_login_g_365day	NUMBER	The maximum time interval of all records of login events in all industries in the last 365 days of the ID card
events_i_timediff_login_g_365day_avg	NUMBER	The average time interval between all the records of ID card login events in all industries in the last 365 natural days (the maximum time interval between all the records in the corresponding period divided by the number of records minus 1)
events_i_timediff_login_g_60day	NUMBER	The maximum time interval of all records of login events in all industries in the last 60 days of the ID card
events_i_timediff_login_g_60day_avg	NUMBER	The average time interval between all the records of ID card login events in all industries in the last 60 natural days (the maximum time interval between all the records in the corresponding period divided by the number of records minus 1)
events_i_timediff_login_g_90day	NUMBER	The maximum time interval of all records of login events in all industries in the last 90 days of the ID card
events_i_timediff_login_g_90day_avg	NUMBER	The average time interval between all the records of ID card login events in all industries in the last 90 natural days (the maximum time interval between all the records in the corresponding period divided by the number of records minus 1)
events_m_abnormaltags_all_g_30day_d_count	NUMBER	The number of deduplicated risk tags of risky devices associated with mobile phone numbers in the past 30 natural days
events_m_abnormaltags_all_g_7day_d_count	NUMBER	The number of deduplicated risk tags of risky devices associated with mobile phone numbers in the past 7 natural days
events_m_accept_all_g_15day_ratio	NUMBER	The percentage of records with the decision result of accept in all industries and all events in the past 15 natural days by mobile phone number
events_m_accept_all_g_180day_ratio	NUMBER	The percentage of records with the decision result of accept in all industries and all events in the past 180 natural days for mobile phone numbers
events_m_accept_all_g_30day_ratio	NUMBER	The percentage of records with the decision result of accept in all industries and all events in the past 30 natural days for mobile phone numbers
events_m_accept_all_g_365day_ratio	NUMBER	The percentage of records with the decision result of accept in all industries and all events in the past 365 natural days by mobile phone number
events_m_accept_all_g_60day_ratio	NUMBER	The percentage of records with the decision result of accept in all industries and all events within the past 60 natural days
events_m_accept_all_g_90day_ratio	NUMBER	The percentage of records with the decision result of accept in all industries and all events in the past 90 natural days for mobile phone numbers
events_m_all_g_15day_accept_count	NUMBER	The number of times the decision result of the mobile phone number is Accept in the past 15 natural days
events_m_all_g_15day_count	NUMBER	The number of times the mobile phone number appears in all events in the industry in the past 15 natural days
events_m_all_g_15day_daytime_count	NUMBER	Number of records of mobile phone numbers in all industries and all events occurring during the day in the past 15 natural days
events_m_all_g_15day_daytime_ratio	NUMBER	The proportion of all events in the industry that occurred during the day in the past 15 natural days
events_m_all_g_15day_l1imbank_count	NUMBER	The number of times the mobile phone number has occurred in all events in the non-bank financial industry in the past 15 natural days
events_m_all_g_15day_l1imbank_daytime_count	NUMBER	Number of times all events in the non-bank financial industry occurred during the day in the past 15 natural days
events_m_all_g_15day_l1imbank_daytime_ratio	NUMBER	The proportion of all events in the non-bank financial industry in the past 15 natural days that occurred during the daytime
events_m_all_g_15day_reject_count	NUMBER	The number of times the decision result of the mobile phone number is Reject in the past 15 natural days
events_m_all_g_15day_review_count	NUMBER	Number of records with a review decision result in the past 15 natural days
events_m_all_g_15day_workday_count	NUMBER	The number of times that all events in the industry occurred on weekdays in the past 15 natural days
events_m_all_g_15day_workday_ratio	NUMBER	The proportion of all events in the industry that occurred on weekdays in the past 15 natural days
events_m_all_g_180day_accept_count	NUMBER	The number of times the decision result of the mobile phone number is Accept in the past 180 natural days
events_m_all_g_180day_count	NUMBER	Number of times the mobile phone number appears in all events in the industry in the past 180 natural days
events_m_all_g_180day_daytime_count	NUMBER	Number of records of mobile phone numbers occurring during the day in all industries and all events in the past 180 natural days
events_m_all_g_180day_daytime_ratio	NUMBER	The proportion of all events in the industry that occurred during the day in the past 180 natural days
events_m_all_g_180day_l1imbank_count	NUMBER	The number of times a mobile phone number has occurred in all events in the non-bank financial industry in the past 180 natural days
events_m_all_g_180day_l1imbank_daytime_count	NUMBER	Number of all events in the non-bank financial industry that occurred during the daytime in the past 180 natural days
events_m_all_g_180day_l1imbank_daytime_ratio	NUMBER	The proportion of all events in the non-bank financial industry in the past 180 natural days that occurred during the day
events_m_all_g_180day_reject_count	NUMBER	The number of times the decision result of the mobile phone number is Reject in the past 180 natural days
events_m_all_g_180day_review_count	NUMBER	Number of records with a mobile phone number decision result of review in the past 180 natural days
events_m_all_g_180day_workday_count	NUMBER	Number of times a mobile phone number occurs on a working day in all events in the industry in the past 180 natural days
events_m_all_g_180day_workday_ratio	NUMBER	The proportion of all events in the industry that occurred on weekdays in the past 180 natural days
events_m_all_g_30day_accept_count	NUMBER	The number of times the decision result of the mobile phone number is Accept in the past 30 natural days
events_m_all_g_30day_count	NUMBER	Number of times the mobile phone number appears in all events in the industry in the past 30 natural days
events_m_all_g_30day_daytime_count	NUMBER	Number of records of mobile phone numbers occurring during the day in all industries and events within the past 30 natural days
events_m_all_g_30day_daytime_ratio	NUMBER	The proportion of all events in the industry that occurred during the day in the past 30 natural days
events_m_all_g_30day_l1imbank_count	NUMBER	The number of times the mobile phone number has occurred in all events in the non-bank financial industry in the past 30 natural days
events_m_all_g_30day_l1imbank_daytime_count	NUMBER	Number of times all events in the non-bank financial industry occurred during the day in the past 30 natural days
events_m_all_g_30day_l1imbank_daytime_ratio	NUMBER	The proportion of all events in the non-bank financial industry in the past 30 natural days that occurred during the day
events_m_all_g_30day_reject_count	NUMBER	The number of times the decision result of the mobile phone number is Rejected in the past 30 natural days
events_m_all_g_30day_review_count	NUMBER	Number of records with a review decision result in the past 30 natural days
events_m_all_g_30day_workday_count	NUMBER	The number of times that all events in the industry occurred on weekdays in the past 30 natural days
events_m_all_g_30day_workday_ratio	NUMBER	The proportion of all events in the industry that occurred on weekdays in the past 30 natural days
events_m_all_g_365day_accept_count	NUMBER	The number of times the decision result of the mobile phone number is Accept in the past 365 natural days
events_m_all_g_365day_count	NUMBER	The number of times the mobile phone number appears in all events in the industry in the past 365 natural days
events_m_all_g_365day_daytime_count	NUMBER	Number of records of mobile phone numbers occurring during the day in all industries and all events in the past 365 natural days
events_m_all_g_365day_daytime_ratio	NUMBER	The proportion of all events in the industry that occurred during the day in the past 365 natural days
events_m_all_g_365day_l1imbank_count	NUMBER	The number of times the mobile phone number has occurred in all events in the non-bank financial industry in the past 365 natural days
events_m_all_g_365day_l1imbank_daytime_count	NUMBER	Number of times all events in the non-bank financial industry occurred during the daytime in the past 365 natural days
events_m_all_g_365day_l1imbank_daytime_ratio	NUMBER	The proportion of all events in the non-bank financial industry in the past 365 natural days that occurred during the daytime
events_m_all_g_365day_reject_count	NUMBER	The number of times the decision result of the mobile phone number is Reject in the past 365 natural days
events_m_all_g_365day_review_count	NUMBER	Number of records with a mobile phone number decision result of review in the past 365 natural days
events_m_all_g_365day_workday_count	NUMBER	The number of times that all events in the industry occurred on working days in the past 365 natural days
events_m_all_g_365day_workday_ratio	NUMBER	The proportion of all events in the industry that occurred on weekdays in the past 365 natural days
events_m_all_g_60day_accept_count	NUMBER	The number of times the decision result of the mobile phone number is Accept in the past 60 natural days
events_m_all_g_60day_count	NUMBER	Number of times the mobile phone number appears in all events in the industry in the past 60 natural days
events_m_all_g_60day_daytime_count	NUMBER	Number of records of mobile phone numbers occurring during the day in all industries and all events in the past 60 natural days
events_m_all_g_60day_daytime_ratio	NUMBER	The proportion of all events in the industry that occurred during the day in the past 60 natural days
events_m_all_g_60day_l1imbank_count	NUMBER	The number of times the mobile phone number has occurred in all events in the non-bank financial industry in the past 60 natural days
events_m_all_g_60day_l1imbank_daytime_count	NUMBER	Number of times all events in the non-bank financial industry occurred during the day in the past 60 natural days
events_m_all_g_60day_l1imbank_daytime_ratio	NUMBER	The proportion of all events in the non-bank financial industry in the past 60 natural days that occurred during the day
events_m_all_g_60day_reject_count	NUMBER	The number of times the decision result of the mobile phone number is Reject in the past 60 natural days
events_m_all_g_60day_review_count	NUMBER	Number of records with a mobile phone number decision result of review in the past 60 natural days
events_m_all_g_60day_workday_count	NUMBER	Number of times a mobile phone number occurs on a working day in all events in the industry in the past 60 natural days
events_m_all_g_60day_workday_ratio	NUMBER	The proportion of all events in the industry that occurred on weekdays in the past 60 natural days
events_m_all_g_90day_accept_count	NUMBER	The number of times the decision result of the mobile phone number is Accept in the past 90 natural days
events_m_all_g_90day_count	NUMBER	The number of times the mobile phone number appears in all events in the industry within the past 90 natural days
events_m_all_g_90day_daytime_count	NUMBER	Number of records of mobile phone numbers occurring during the day in all industries and events in the past 90 natural days
events_m_all_g_90day_daytime_ratio	NUMBER	The proportion of all events in the industry that occurred during the day in the past 90 natural days
events_m_all_g_90day_l1imbank_count	NUMBER	The number of times a mobile phone number has occurred in all events in the non-bank financial industry in the past 90 natural days
events_m_all_g_90day_l1imbank_daytime_count	NUMBER	Number of times all events in the non-bank financial industry occurred during the day in the past 90 natural days
events_m_all_g_90day_l1imbank_daytime_ratio	NUMBER	The proportion of all events in the non-bank financial industry in the past 90 natural days that occurred during the day
events_m_all_g_90day_reject_count	NUMBER	The number of times the decision result of the mobile phone number is Rejected in the past 90 natural days
events_m_all_g_90day_review_count	NUMBER	Number of records with a mobile phone number decision result of review in the past 90 natural days
events_m_all_g_90day_workday_count	NUMBER	Number of times a mobile phone number occurs on a working day in all events in the industry in the past 90 natural days
events_m_all_g_90day_workday_ratio	NUMBER	The proportion of all events in the industry in the past 90 natural days that occurred on weekdays
events_m_apptype_all_g_15day_count	NUMBER	Number of app types in all events in all industries within 15 natural days associated with the mobile phone number
events_m_apptype_all_g_15day_d_count	NUMBER	The number of app types in all events in the industry within 15 natural days associated with the mobile phone number
events_m_apptype_all_g_180day_count	NUMBER	Number of app types in all events in the industry within 180 natural days associated with the mobile phone number
events_m_apptype_all_g_180day_d_count	NUMBER	The number of app types in all events in the industry within 180 natural days associated with the mobile phone number
events_m_apptype_all_g_30day_count	NUMBER	The number of app types in all events in the industry within 30 natural days associated with the mobile phone number
events_m_apptype_all_g_30day_d_count	NUMBER	The number of app types in all events in the industry within 30 natural days associated with the mobile phone number
events_m_apptype_all_g_365day_count	NUMBER	Number of app types in all events in all industries within 365 natural days associated with the mobile phone number
events_m_apptype_all_g_365day_d_count	NUMBER	The number of app types in all events in all industries within 365 natural days associated with the mobile phone number
events_m_apptype_all_g_60day_count	NUMBER	The number of app types in all events in the industry within 60 natural days associated with the mobile phone number
events_m_apptype_all_g_60day_d_count	NUMBER	The number of app types in all events in the industry within 60 natural days associated with the mobile phone number
events_m_apptype_all_g_90day_count	NUMBER	Number of app types in all events in the industry within 90 natural days associated with the mobile phone number
events_m_apptype_all_g_90day_d_count	NUMBER	The number of app types in all events in the industry within 90 natural days associated with the mobile phone number
events_m_cv_30day_partner_all_g_180day_d_count	NUMBER	The coefficient of variation of the number of platforms in 30 days in all events in the industry within 180 natural days associated with the mobile phone number
events_m_cv_30day_partner_all_g_365day_d_count	NUMBER	The coefficient of variation of the number of platforms in 30 days in all events in all industries within 365 natural days associated with the mobile phone number
events_m_cv_30day_partner_all_g_60day_d_count	NUMBER	The coefficient of variation of the number of platforms in 30 days in all events in all industries within 60 natural days associated with the mobile phone number
events_m_cv_30day_partner_all_g_90day_d_count	NUMBER	The coefficient of variation of the number of platforms in 30 days in all events in all industries within 90 natural days associated with the mobile phone number
events_m_d_all_g_30day_d_count	NUMBER	The number of deduplicated devices associated with the mobile phone number in the past 30 natural days
events_m_d_all_g_30day_riskdev_d_count	NUMBER	The number of risky devices associated with mobile phone numbers in the past 30 natural days without duplication
events_m_d_all_g_7day_d_count	NUMBER	The number of deduplicated devices associated with the mobile phone number in the past 7 natural days
events_m_d_all_g_7day_riskdev_d_count	NUMBER	The number of risky devices associated with mobile phone numbers in the past 7 natural days without duplication
events_m_d_count_10day_partner_all_g_180day_l1imbank_avg	NUMBER	The average number of platforms in all events in the non-bank financial industry within 180 natural days associated with the mobile phone number within 10 days
events_m_d_count_10day_partner_all_g_30day_l1imbank_avg	NUMBER	The average number of platforms in the 10 days of all events in the non-bank financial industry within 30 natural days associated with the mobile phone number
events_m_d_count_10day_partner_all_g_365day_l1imbank_avg	NUMBER	The average number of platforms in the 10 days of all events in the non-bank financial industry within 365 natural days associated with the mobile phone number
events_m_d_count_10day_partner_all_g_60day_l1imbank_avg	NUMBER	The average number of platforms in the 10 days of all events in the non-bank financial industry associated with the mobile phone number within 60 natural days
events_m_d_count_10day_partner_all_g_90day_l1imbank_avg	NUMBER	The average number of platforms in all events in the non-bank financial industry within 90 natural days associated with the mobile phone number within 10 days
events_m_d_count_10day_partner_disburse_g_180day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day credit-using events in the non-bank financial industry associated with the mobile phone number within 180 natural days
events_m_d_count_10day_partner_disburse_g_30day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day credit-using events in the non-bank financial industry associated with the mobile phone number within 30 natural days
events_m_d_count_10day_partner_disburse_g_365day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day credit-using events in the non-bank financial industry associated with the mobile phone number within 365 natural days
events_m_d_count_10day_partner_disburse_g_60day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day credit-using events in the non-bank financial industry associated with the mobile phone number within 60 natural days
events_m_d_count_10day_partner_disburse_g_90day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day credit-using events in the non-bank financial industry associated with the mobile phone number within 90 natural days
events_m_d_count_10day_partner_idv_g_180day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day period of identity authentication events in the non-bank financial industry associated with the mobile phone number within 180 natural days
events_m_d_count_10day_partner_idv_g_30day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day period of identity authentication events in the non-bank financial industry associated with the mobile phone number within 30 natural days
events_m_d_count_10day_partner_idv_g_365day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day period of identity authentication events in the non-bank financial industry associated with the mobile phone number within 365 natural days
events_m_d_count_10day_partner_idv_g_60day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day period of identity authentication events in the non-bank financial industry associated with the mobile phone number within 60 natural days
events_m_d_count_10day_partner_idv_g_90day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day period of identity authentication events in the non-bank financial industry associated with the mobile phone number within 90 natural days
events_m_d_count_10day_partner_loan_g_180day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day credit granting events in the non-bank financial industry within 180 natural days associated with the mobile phone number
events_m_d_count_10day_partner_loan_g_30day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day credit granting events in the non-bank financial industry within 30 natural days associated with the mobile phone number
events_m_d_count_10day_partner_loan_g_365day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day credit granting events in the non-bank financial industry within 365 natural days associated with the mobile phone number
events_m_d_count_10day_partner_loan_g_60day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day credit granting events in the non-bank financial industry within 60 natural days associated with the mobile phone number
events_m_d_count_10day_partner_loan_g_90day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day credit granting events in the non-bank financial industry within 90 natural days associated with the mobile phone number
events_m_d_count_10day_partner_login_g_180day_l1imbank_avg	NUMBER	The average number of 10-day platforms in the login events in the non-bank financial industry within 180 natural days associated with the mobile phone number
events_m_d_count_10day_partner_login_g_30day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day period of login events in the non-bank financial industry associated with the mobile phone number within 30 natural days
events_m_d_count_10day_partner_login_g_365day_l1imbank_avg	NUMBER	The average number of 10-day platforms in the login events in the non-bank financial industry within 365 natural days associated with the mobile phone number
events_m_d_count_10day_partner_login_g_60day_l1imbank_avg	NUMBER	The average number of 10-day platforms in the login events in the non-bank financial industry within 60 natural days associated with the mobile phone number
events_m_d_count_10day_partner_login_g_90day_l1imbank_avg	NUMBER	The average number of platforms in the 10-day period in which the mobile phone number is associated with the non-bank financial industry login events within 90 natural days
events_m_d_count_partner_disburse_g_180day_ratio	NUMBER	The ratio of the number of different platforms in the industry's credit incidents in the past 30 natural days to the number of different platforms in the industry's credit incidents in the past 30-180 natural days
events_m_d_count_partner_disburse_g_365day_ratio	NUMBER	The ratio of the number of different platforms in the industry's credit incidents in the past 30 natural days to the number of different platforms in the industry's credit incidents in 30-365 natural days
events_m_d_count_partner_disburse_g_60day_ratio	NUMBER	The ratio of the number of different platforms in the industry's credit incidents within the last 30 natural days to the number of different platforms in the industry's credit incidents within 30-60 natural days
events_m_d_count_partner_disburse_g_90day_ratio	NUMBER	The ratio of the number of different platforms in the industry's credit incidents within the last 30 natural days to the number of different platforms in the industry's credit incidents within 30-90 natural days
events_m_d_count_partner_idv_g_180day_ratio	NUMBER	The ratio of the number of identity authentication events on different platforms in the industry within the last 30 natural days to the number of identity authentication events on different platforms in the industry within 30-180 natural days
events_m_d_count_partner_idv_g_365day_ratio	NUMBER	The ratio of the number of identity authentication events on different platforms in the industry within the past 30 natural days to the number of identity authentication events on different platforms in the industry within 30-365 natural days
events_m_d_count_partner_idv_g_60day_ratio	NUMBER	The ratio of the number of different platforms in the industry's identity authentication events in the past 30 natural days to the number of different platforms in the industry's identity authentication events in the past 30-60 natural days
events_m_d_count_partner_idv_g_90day_ratio	NUMBER	The ratio of the number of identity authentication events on different platforms in the industry within the last 30 natural days to the number of identity authentication events on different platforms in the industry within 30-90 natural days
events_m_d_count_partner_loan_g_180day_ratio	NUMBER	The ratio of the number of different platforms in the industry's credit granting events within the last 30 natural days to the number of different platforms in the industry's credit granting events within 30-180 natural days
events_m_d_count_partner_loan_g_365day_ratio	NUMBER	The ratio of the number of different platforms in the industry's credit granting events within the last 30 natural days to the number of different platforms in the industry's credit granting events within 30-365 natural days
events_m_d_count_partner_loan_g_60day_ratio	NUMBER	The ratio of the number of different platforms in the industry's credit granting events within the last 30 natural days to the number of different platforms in the industry's credit granting events within 30-60 natural days
events_m_d_count_partner_loan_g_90day_ratio	NUMBER	The ratio of the number of different platforms in the industry's credit granting events within the last 30 natural days to the number of different platforms in the industry's credit granting events within 30-90 natural days
events_m_d_count_partner_login_g_180day_ratio	NUMBER	The ratio of the number of different platforms in the login events of the whole industry in the past 30 natural days to the number of different platforms in the login events of the whole industry in the past 30-180 natural days
events_m_d_count_partner_login_g_365day_ratio	NUMBER	The ratio of the number of different platforms in the login events of the whole industry in the past 30 natural days to the number of different platforms in the login events of the whole industry in 30-365 natural days
events_m_d_count_partner_login_g_60day_ratio	NUMBER	The ratio of the number of different platforms in the industry's login events in the last 30 natural days to the number of different platforms in the industry's login events in the last 30-60 natural days
events_m_d_count_partner_login_g_90day_ratio	NUMBER	The ratio of the number of different platforms in the industry's login events in the last 30 natural days to the number of different platforms in the industry's login events in the last 30-90 natural days
events_m_daydiff_disburse_g_15day_l1imbank_max	NUMBER	The maximum record interval (days) of credit events in the non-bank financial industry for mobile phone numbers in the past 15 natural days
events_m_daydiff_disburse_g_15day_l1imbank_min	NUMBER	The minimum record interval (days) of credit events in the non-bank financial industry for mobile phone numbers in the past 15 natural days
events_m_daydiff_disburse_g_180day_l1imbank_max	NUMBER	The maximum recording interval (days) of credit events in the non-bank financial industry for mobile phone numbers in the past 180 natural days
events_m_daydiff_disburse_g_180day_l1imbank_min	NUMBER	The minimum record interval (days) of credit events in the non-bank financial industry for mobile phone numbers in the past 180 natural days
events_m_daydiff_disburse_g_30day_l1imbank_max	NUMBER	The maximum record interval (days) of credit events in the non-bank financial industry for mobile phone numbers in the past 30 natural days
events_m_daydiff_disburse_g_30day_l1imbank_min	NUMBER	The minimum record interval (days) of credit events in the non-bank financial industry for mobile phone numbers in the past 30 natural days
events_m_daydiff_disburse_g_365day_l1imbank_max	NUMBER	The maximum record interval (days) of credit events in the non-bank financial industry for mobile phone numbers in the past 365 natural days
events_m_daydiff_disburse_g_365day_l1imbank_min	NUMBER	The minimum record interval (days) of credit events in the non-bank financial industry for mobile phone numbers in the past 365 natural days
events_m_daydiff_disburse_g_60day_l1imbank_max	NUMBER	The maximum record interval (days) of credit events in the non-bank financial industry for mobile phone numbers in the past 60 natural days
events_m_daydiff_disburse_g_60day_l1imbank_min	NUMBER	The minimum record interval (days) of credit events in the non-bank financial industry for mobile phone numbers in the past 60 natural days
events_m_daydiff_disburse_g_90day_l1imbank_max	NUMBER	The maximum recording interval (days) of credit events in the non-bank financial industry for mobile phone numbers in the past 90 natural days
events_m_daydiff_disburse_g_90day_l1imbank_min	NUMBER	The minimum record interval (days) of credit events in the non-bank financial industry for mobile phone numbers in the past 90 natural days
events_m_daydiff_first_disburse_g_15day	NUMBER	The number of days from the first record of credit card usage events in all industries in the past 15 natural days to the current time
events_m_daydiff_first_disburse_g_180day	NUMBER	The number of days from the first record of credit card usage events in all industries within the past 180 natural days to the current day
events_m_daydiff_first_disburse_g_30day	NUMBER	The number of days from the first record of credit events in all industries within the past 30 natural days to the current time
events_m_daydiff_first_disburse_g_365day	NUMBER	The number of days from the first record of credit card usage events in all industries in the past 365 natural days to the current time
events_m_daydiff_first_disburse_g_60day	NUMBER	The number of days from the first record of credit card usage events in all industries within the past 60 natural days to the current time
events_m_daydiff_first_disburse_g_90day	NUMBER	The number of days from the first record of credit card usage events in all industries within the past 90 natural days to the current time
events_m_daydiff_first_idv_g_15day	NUMBER	The number of days from the first record of identity authentication events in all industries within the past 15 natural days to the current date
events_m_daydiff_first_idv_g_180day	NUMBER	The number of days from the first record of identity authentication events in all industries within the past 180 natural days to the current time
events_m_daydiff_first_idv_g_30day	NUMBER	The number of days from the first record of identity authentication events in all industries within the past 30 natural days to the current time
events_m_daydiff_first_idv_g_365day	NUMBER	The number of days from the first record of identity authentication events in all industries in the past 365 natural days to the current time
events_m_daydiff_first_idv_g_60day	NUMBER	The number of days from the first record of identity authentication events in all industries within the past 60 natural days to the current time
events_m_daydiff_first_idv_g_90day	NUMBER	The number of days from the first record of identity authentication events in all industries within the past 90 natural days to the current time
events_m_daydiff_first_last_all_g_15day	NUMBER	The number of days between the first record and the last record of all events in the industry in the past 15 days for the mobile phone number
events_m_daydiff_first_last_all_g_180day	NUMBER	The number of days between the first record and the last record of all events in the industry in the past 180 days for the mobile phone number
events_m_daydiff_first_last_all_g_30day	NUMBER	The number of days between the first record and the last record of all events in the industry in the past 30 days for the mobile phone number
events_m_daydiff_first_last_all_g_365day	NUMBER	The number of days between the first record and the last record of all events in the industry in the past 365 days for the mobile phone number
events_m_daydiff_first_last_all_g_60day	NUMBER	The number of days between the first record and the last record of all events in the industry in the past 60 days for the mobile phone number
events_m_daydiff_first_last_all_g_90day	NUMBER	The number of days between the first record and the last record of all events in the industry in the past 90 days for the mobile phone number
events_m_daydiff_first_last_disburse_g_15day_l1imbank	NUMBER	Number of days between the first record and the last record in the credit event of the non-bank financial industry in the past 15 natural days
events_m_daydiff_first_last_disburse_g_180day_l1imbank	NUMBER	Number of days between the first record and the last record in the credit event of the non-bank financial industry in the past 180 natural days
events_m_daydiff_first_last_disburse_g_30day_l1imbank	NUMBER	The number of days between the first record and the last record in the credit event of the non-bank financial industry in the past 30 natural days
events_m_daydiff_first_last_disburse_g_365day_l1imbank	NUMBER	The number of days between the first record and the last record in the credit event of the non-bank financial industry in the past 365 natural days
events_m_daydiff_first_last_disburse_g_60day_l1imbank	NUMBER	The number of days between the first record and the last record in the credit event of the non-bank financial industry in the past 60 natural days
events_m_daydiff_first_last_disburse_g_90day_l1imbank	NUMBER	The number of days between the first record and the last record in the credit event of the non-bank financial industry in the past 90 natural days
events_m_daydiff_first_last_idv_g_15day_l1imbank	NUMBER	The number of days between the first record and the last record in the identity authentication event of the non-bank financial industry in the past 15 natural days
events_m_daydiff_first_last_idv_g_180day_l1imbank	NUMBER	Number of days between the first record and the last record in the identity authentication event of the non-bank financial industry in the past 180 natural days
events_m_daydiff_first_last_idv_g_30day_l1imbank	NUMBER	Number of days between the first record and the last record in the identity authentication event of the non-bank financial industry in the past 30 natural days
events_m_daydiff_first_last_idv_g_365day_l1imbank	NUMBER	The number of days between the first record and the last record in the identity authentication event of the non-bank financial industry in the past 365 natural days.
events_m_daydiff_first_last_idv_g_60day_l1imbank	NUMBER	The number of days between the first record and the last record in the identity authentication event of the non-bank financial industry in the past 60 natural days.
events_m_daydiff_first_last_idv_g_90day_l1imbank	NUMBER	Number of days between the first record and the last record in the identity authentication event of the non-bank financial industry in the past 90 natural days
events_m_daydiff_first_last_loan_g_15day_l1imbank	NUMBER	The number of days between the first record and the last record in the credit event of the non-bank financial industry in the past 15 natural days for the mobile phone number
events_m_daydiff_first_last_loan_g_180day_l1imbank	NUMBER	Number of days between the first record and the last record in the credit event of non-bank financial industry in the past 180 natural days
events_m_daydiff_first_last_loan_g_30day_l1imbank	NUMBER	The number of days between the first record and the last record in the credit event of the non-bank financial industry in the past 30 natural days for the mobile phone number
events_m_daydiff_first_last_loan_g_365day_l1imbank	NUMBER	The number of days between the first record and the last record in the credit event of the non-bank financial industry in the past 365 natural days for the mobile phone number
events_m_daydiff_first_last_loan_g_60day_l1imbank	NUMBER	The number of days between the first record and the last record in the credit event of the non-bank financial industry in the past 60 natural days for the mobile phone number
events_m_daydiff_first_last_loan_g_90day_l1imbank	NUMBER	The number of days between the first record and the last record in the credit event of the non-bank financial industry in the past 90 natural days for the mobile phone number
events_m_daydiff_first_last_login_g_15day_l1imbank	NUMBER	Number of days between the first and last record of login events in the non-bank financial industry in the past 15 natural days
events_m_daydiff_first_last_login_g_180day_l1imbank	NUMBER	Number of days between the first and last record of login events in the non-bank financial industry within the past 180 natural days
events_m_daydiff_first_last_login_g_30day_l1imbank	NUMBER	The number of days between the first and last record of login events in the non-bank financial industry in the past 30 natural days for mobile phone numbers
events_m_daydiff_first_last_login_g_365day_l1imbank	NUMBER	Number of days between the first and last record of login events in the non-bank financial industry in the past 365 natural days for mobile phone numbers
events_m_daydiff_first_last_login_g_60day_l1imbank	NUMBER	Number of days between the first and last record of login events in the non-bank financial industry for mobile phone numbers in the past 60 natural days
events_m_daydiff_first_last_login_g_90day_l1imbank	NUMBER	Number of days between the first and last record of login events in the non-bank financial industry in the past 90 natural days
events_m_daydiff_first_loan_g_15day	NUMBER	The number of days from the current date to the first record of credit events in all industries associated with the mobile phone number within 15 natural days
events_m_daydiff_first_loan_g_180day	NUMBER	The number of days from the first record of credit events in all industries associated with the mobile phone number within 180 natural days to the current day
events_m_daydiff_first_loan_g_30day	NUMBER	The number of days from the current date to the first record of credit events in all industries within 30 natural days associated with the mobile phone number
events_m_daydiff_first_loan_g_365day	NUMBER	The number of days from the current date to the first record of credit events in all industries within 365 natural days associated with the mobile phone number
events_m_daydiff_first_loan_g_60day	NUMBER	The number of days from the current date to the first record of credit events in all industries within 60 natural days associated with the mobile phone number
events_m_daydiff_first_loan_g_90day	NUMBER	The number of days from the current date to the first record of credit events in all industries within 90 natural days associated with the mobile phone number
events_m_daydiff_first_login_g_15day	NUMBER	The number of days from the first login event of the mobile phone number in all industries in the past 15 natural days to the current day
events_m_daydiff_first_login_g_180day	NUMBER	The number of days from the first login event of the mobile phone number in all industries within the past 180 natural days to the current day
events_m_daydiff_first_login_g_30day	NUMBER	The number of days from the first login event of the mobile phone number in all industries within the past 30 natural days to the current day
events_m_daydiff_first_login_g_365day	NUMBER	The number of days from the first login event of the mobile phone number in all industries in the past 365 natural days to the current day
events_m_daydiff_first_login_g_60day	NUMBER	The number of days from the first login event of the mobile phone number in all industries in the past 60 natural days to the current day
events_m_daydiff_first_login_g_90day	NUMBER	The number of days from the first login event of the mobile phone number in all industries within the past 90 natural days to the current day
events_m_daydiff_idv_g_15day_l1imbank_max	NUMBER	Maximum record interval (days) of identity authentication events in the non-bank financial industry for mobile phone numbers in the past 15 natural days
events_m_daydiff_idv_g_15day_l1imbank_min	NUMBER	Minimum record interval (days) of identity authentication events in the non-bank financial industry for mobile phone numbers in the past 15 natural days
events_m_daydiff_idv_g_180day_l1imbank_max	NUMBER	Maximum record interval (days) of identity authentication events in the non-bank financial industry for mobile phone numbers in the past 180 natural days
events_m_daydiff_idv_g_180day_l1imbank_min	NUMBER	Minimum record interval (days) of identity authentication events in the non-bank financial industry for mobile phone numbers within the past 180 natural days
events_m_daydiff_idv_g_30day_l1imbank_max	NUMBER	Maximum record interval (days) of identity authentication events in the non-bank financial industry for mobile phone numbers in the past 30 natural days
events_m_daydiff_idv_g_30day_l1imbank_min	NUMBER	Minimum record interval (days) for identity authentication events in the non-bank financial industry within the past 30 natural days for mobile phone numbers
events_m_daydiff_idv_g_365day_l1imbank_max	NUMBER	Maximum record interval (days) of identity authentication events in the non-bank financial industry for mobile phone numbers in the past 365 natural days
events_m_daydiff_idv_g_365day_l1imbank_min	NUMBER	Minimum record interval (days) of identity authentication events in the non-bank financial industry for mobile phone numbers in the past 365 natural days
events_m_daydiff_idv_g_60day_l1imbank_max	NUMBER	Maximum record interval (days) of identity authentication events in the non-bank financial industry for mobile phone numbers in the past 60 natural days
events_m_daydiff_idv_g_60day_l1imbank_min	NUMBER	Minimum record interval (days) of identity authentication events in the non-bank financial industry for mobile phone numbers within the past 60 natural days
events_m_daydiff_idv_g_90day_l1imbank_max	NUMBER	Maximum record interval (days) of identity authentication events in the non-bank financial industry for mobile phone numbers in the past 90 natural days
events_m_daydiff_idv_g_90day_l1imbank_min	NUMBER	Minimum record interval (days) of identity authentication events in the non-bank financial industry for mobile phone numbers within the past 90 natural days
events_m_daydiff_last_all_g_15day_l1imbank	NUMBER	The number of days from the last record of all events in the non-bank financial industry in the past 15 natural days to the current time
events_m_daydiff_last_all_g_180day_l1imbank	NUMBER	The number of days from the last record of all events in the non-bank financial industry in the past 180 natural days to the current day
events_m_daydiff_last_all_g_30day_l1imbank	NUMBER	The number of days from the last record of all events in the non-bank financial industry in the past 30 natural days
events_m_daydiff_last_all_g_365day_l1imbank	NUMBER	The number of days from the last record of all events in the non-bank financial industry in the past 365 natural days to the current day
events_m_daydiff_last_all_g_60day_l1imbank	NUMBER	The number of days from the last record of all events in the non-bank financial industry in the past 60 natural days to the current day
events_m_daydiff_last_all_g_90day_l1imbank	NUMBER	The number of days from the last record of all events in the non-bank financial industry in the past 90 natural days to the current day
events_m_daydiff_last_loan_g_15day	NUMBER	The number of days from the last record of credit events in all industries in the past 15 natural days to the current day
events_m_daydiff_last_loan_g_180day	NUMBER	The number of days from the last record of credit events in all industries within the past 180 natural days to the current day
events_m_daydiff_last_loan_g_30day	NUMBER	The number of days from the last record of credit events in all industries within the past 30 natural days.
events_m_daydiff_last_loan_g_365day	NUMBER	The number of days from the last record of credit events in all industries in the past 365 natural days to the current day
events_m_daydiff_last_loan_g_60day	NUMBER	The number of days from the last record of credit events in all industries within the past 60 natural days to the current date
events_m_daydiff_last_loan_g_90day	NUMBER	The number of days from the last record of credit events in all industries within the past 90 natural days.
events_m_daydiff_loan_g_15day_l1imbank_max	NUMBER	The maximum record interval (days) of credit events in the non-bank financial industry in the past 15 natural days for mobile phone numbers
events_m_daydiff_loan_g_15day_l1imbank_min	NUMBER	Minimum record interval (days) of credit events in non-bank financial industry within the past 15 natural days for mobile phone numbers
events_m_daydiff_loan_g_180day_l1imbank_max	NUMBER	The maximum record interval (days) of credit events in the non-bank financial industry in the past 180 natural days for mobile phone numbers
events_m_daydiff_loan_g_180day_l1imbank_min	NUMBER	Minimum record interval (days) of credit events in non-bank financial industry within the past 180 natural days for mobile phone numbers
events_m_daydiff_loan_g_30day_l1imbank_max	NUMBER	The maximum record interval (days) of credit events in the non-bank financial industry in the past 30 natural days for mobile phone numbers
events_m_daydiff_loan_g_30day_l1imbank_min	NUMBER	Minimum record interval (days) of credit events in non-bank financial industry within the past 30 natural days for mobile phone numbers
events_m_daydiff_loan_g_365day_l1imbank_max	NUMBER	The maximum record interval (days) of credit events in the non-bank financial industry in the past 365 natural days for mobile phone numbers
events_m_daydiff_loan_g_365day_l1imbank_min	NUMBER	Minimum record interval (days) of credit events in non-bank financial industry in the past 365 natural days for mobile phone numbers
events_m_daydiff_loan_g_60day_l1imbank_max	NUMBER	The maximum record interval (days) of credit events in the non-bank financial industry within the past 60 natural days for mobile phone numbers
events_m_daydiff_loan_g_60day_l1imbank_min	NUMBER	Minimum record interval (days) of credit events in non-bank financial industry within the past 60 natural days for mobile phone numbers
events_m_daydiff_loan_g_90day_l1imbank_max	NUMBER	The maximum record interval (days) of credit events in the non-bank financial industry in the past 90 natural days for mobile phone numbers
events_m_daydiff_loan_g_90day_l1imbank_min	NUMBER	Minimum record interval (days) of credit events in non-bank financial industry within the past 90 natural days for mobile phone numbers
events_m_daydiff_login_g_15day_l1imbank_max	NUMBER	The maximum record interval (days) of login events in the non-bank financial industry for mobile phone numbers in the past 15 natural days
events_m_daydiff_login_g_15day_l1imbank_min	NUMBER	Minimum record interval (days) of login events in the non-bank financial industry for mobile phone numbers in the past 15 natural days
events_m_daydiff_login_g_180day_l1imbank_max	NUMBER	The maximum recording interval (days) of login events in the non-bank financial industry for mobile phone numbers in the past 180 natural days
events_m_daydiff_login_g_180day_l1imbank_min	NUMBER	Minimum record interval (days) of login events in the non-bank financial industry for mobile phone numbers in the past 180 natural days
events_m_daydiff_login_g_30day_l1imbank_max	NUMBER	The maximum record interval (days) of login events in the non-bank financial industry for mobile phone numbers in the past 30 natural days
events_m_daydiff_login_g_30day_l1imbank_min	NUMBER	Minimum record interval (days) of login events in the non-bank financial industry for mobile phone numbers in the past 30 natural days
events_m_daydiff_login_g_365day_l1imbank_max	NUMBER	The maximum record interval (days) of login events in the non-bank financial industry for mobile phone numbers in the past 365 natural days
events_m_daydiff_login_g_365day_l1imbank_min	NUMBER	The minimum record interval (days) of login events in the non-bank financial industry for mobile phone numbers in the past 365 natural days
events_m_daydiff_login_g_60day_l1imbank_max	NUMBER	The maximum recording interval (days) of login events in the non-bank financial industry for mobile phone numbers in the past 60 natural days
events_m_daydiff_login_g_60day_l1imbank_min	NUMBER	Minimum record interval (days) of login events in the non-bank financial industry for mobile phone numbers in the past 60 natural days
events_m_daydiff_login_g_90day_l1imbank_max	NUMBER	The maximum recording interval (days) of login events in the non-bank financial industry for mobile phone numbers in the past 90 natural days
events_m_daydiff_login_g_90day_l1imbank_min	NUMBER	Minimum record interval (days) of login events in the non-bank financial industry for mobile phone numbers in the past 90 natural days
events_m_disburse_g_15day_avg	NUMBER	Average number of records per day in all industries using credit cards for mobile phone numbers in the past 15 natural days
events_m_disburse_g_15day_count	NUMBER	Number of records of credit card usage events in the industry in the past 15 natural days for mobile phone numbers
events_m_disburse_g_15day_daytime_count	NUMBER	Number of times the mobile phone number was used during the day in the past 15 natural days in the industry
events_m_disburse_g_15day_daytime_ratio	NUMBER	The proportion of phone number usage events in all industries that occurred during the day in the past 15 natural days
events_m_disburse_g_15day_l1imbank_count	NUMBER	Number of records of credit events in the non-bank financial industry in the past 15 natural days for mobile phone numbers
events_m_disburse_g_15day_l1imbank_daytime_count	NUMBER	Number of times the mobile phone number was used in the non-bank financial industry during the day in the past 15 natural days
events_m_disburse_g_15day_l1imbank_weekend_count	NUMBER	Number of times the mobile phone number was used in the non-bank financial industry on weekends in the past 15 natural days
events_m_disburse_g_15day_l1imbank_workday_count	NUMBER	Number of credit incidents in the non-bank financial industry that occurred on working days in the past 15 natural days
events_m_disburse_g_15day_workday_count	NUMBER	Number of times the mobile phone number was used on weekdays in the industry in the past 15 natural days
events_m_disburse_g_15day_workday_ratio	NUMBER	The proportion of phone number credit card usage events in all industries that occurred on weekdays in the past 15 natural days
events_m_disburse_g_180day_avg	NUMBER	Average number of records per day in all industries using credit cards for mobile phone numbers in the past 180 natural days
events_m_disburse_g_180day_count	NUMBER	Number of records of mobile phone number use incidents in the industry within the past 180 natural days
events_m_disburse_g_180day_daytime_count	NUMBER	Number of times the mobile phone number was used during the day in the past 180 natural days in the industry
events_m_disburse_g_180day_daytime_ratio	NUMBER	The proportion of mobile phone number use events in all industries that occurred during the day in the past 180 natural days
events_m_disburse_g_180day_l1imbank_count	NUMBER	Number of records of credit events in the non-bank financial industry in the past 180 natural days for mobile phone numbers
events_m_disburse_g_180day_l1imbank_daytime_count	NUMBER	Number of times the mobile phone number was used during the day in the non-bank financial industry in the past 180 natural days
events_m_disburse_g_180day_l1imbank_weekend_count	NUMBER	Number of non-bank financial industry credit incidents that occurred on weekends in the past 180 natural days
events_m_disburse_g_180day_l1imbank_workday_count	NUMBER	Number of credit incidents in the non-bank financial industry that occurred on working days in the past 180 natural days
events_m_disburse_g_180day_workday_count	NUMBER	Number of times the mobile phone number was used on weekdays in the industry in the past 180 natural days
events_m_disburse_g_180day_workday_ratio	NUMBER	The proportion of phone number credit card usage events in all industries that occurred on weekdays in the past 180 natural days
events_m_disburse_g_30day_avg	NUMBER	Average number of records per day in all industries using credit cards for mobile phone numbers in the past 30 natural days
events_m_disburse_g_30day_count	NUMBER	Number of records of credit card usage events in the industry in the past 30 natural days for mobile phone numbers
events_m_disburse_g_30day_daytime_count	NUMBER	Number of times the mobile phone number was used during the day in the past 30 natural days in the industry
events_m_disburse_g_30day_daytime_ratio	NUMBER	The proportion of phone number usage events in all industries that occurred during the day in the past 30 natural days
events_m_disburse_g_30day_l1imbank_count	NUMBER	Number of records of credit events in the non-bank financial industry in the past 30 natural days for mobile phone numbers
events_m_disburse_g_30day_l1imbank_daytime_count	NUMBER	Number of times the mobile phone number was used in the non-bank financial industry during the day in the past 30 natural days
events_m_disburse_g_30day_l1imbank_weekend_count	NUMBER	Number of times the mobile phone number was used in the non-bank financial industry on weekends in the past 30 natural days
events_m_disburse_g_30day_l1imbank_workday_count	NUMBER	Number of credit incidents in the non-bank financial industry that occurred on working days in the past 30 natural days
events_m_disburse_g_30day_workday_count	NUMBER	Number of times the mobile phone number was used on weekdays in the industry in the past 30 natural days
events_m_disburse_g_30day_workday_ratio	NUMBER	The proportion of phone number credit card usage events in all industries that occurred on weekdays in the past 30 natural days
events_m_disburse_g_365day_avg	NUMBER	Average number of records per day in all industries using credit cards for mobile phone numbers in the past 365 natural days
events_m_disburse_g_365day_count	NUMBER	Number of records of credit card use events in the industry in the past 365 natural days by mobile phone number
events_m_disburse_g_365day_daytime_count	NUMBER	Number of times the mobile phone number was used during the day in the past 365 natural days in the industry
events_m_disburse_g_365day_daytime_ratio	NUMBER	The proportion of mobile phone number use events in all industries that occurred during the day in the past 365 natural days
events_m_disburse_g_365day_l1imbank_count	NUMBER	Number of records of credit events in the non-bank financial industry in the past 365 natural days for mobile phone numbers
events_m_disburse_g_365day_l1imbank_daytime_count	NUMBER	Number of times the mobile phone number was used during the day in the non-bank financial industry in the past 365 natural days
events_m_disburse_g_365day_l1imbank_weekend_count	NUMBER	Number of times the mobile phone number was used on weekends in the non-bank financial industry in the past 365 natural days
events_m_disburse_g_365day_l1imbank_workday_count	NUMBER	Number of credit-using incidents in the non-bank financial industry that occurred on working days in the past 365 natural days
events_m_disburse_g_365day_workday_count	NUMBER	Number of times the mobile phone number was used on weekdays in the industry in the past 365 natural days
events_m_disburse_g_365day_workday_ratio	NUMBER	The proportion of mobile phone number credit card usage events in all industries that occurred on weekdays in the past 365 natural days
events_m_disburse_g_60day_avg	NUMBER	Average number of records per day in all industries using credit cards for mobile phone numbers in the past 60 natural days
events_m_disburse_g_60day_count	NUMBER	Number of records of credit card usage events in the industry in the past 60 natural days for mobile phone numbers
events_m_disburse_g_60day_daytime_count	NUMBER	Number of times the mobile phone number was used during the day in the past 60 natural days in the industry
events_m_disburse_g_60day_daytime_ratio	NUMBER	The proportion of phone number usage events in all industries that occurred during the day in the past 60 natural days
events_m_disburse_g_60day_l1imbank_count	NUMBER	Number of records of credit events in the non-bank financial industry in the past 60 natural days for mobile phone numbers
events_m_disburse_g_60day_l1imbank_daytime_count	NUMBER	Number of times the mobile phone number was used during the day in the non-bank financial industry in the past 60 natural days
events_m_disburse_g_60day_l1imbank_weekend_count	NUMBER	Number of times the mobile phone number was used on weekends in the non-bank financial industry in the past 60 natural days
events_m_disburse_g_60day_l1imbank_workday_count	NUMBER	Number of credit-using incidents in the non-bank financial industry on working days in the past 60 natural days
events_m_disburse_g_60day_workday_count	NUMBER	Number of times the mobile phone number was used on weekdays in the industry in the past 60 natural days
events_m_disburse_g_60day_workday_ratio	NUMBER	The proportion of phone number credit card usage events in all industries that occurred on weekdays in the past 60 natural days
events_m_disburse_g_90day_avg	NUMBER	Average number of records per day in all industries using credit cards for mobile phone numbers in the past 90 natural days
events_m_disburse_g_90day_count	NUMBER	Number of records of credit card use events in the industry in the past 90 natural days for mobile phone numbers
events_m_disburse_g_90day_daytime_count	NUMBER	Number of times the mobile phone number was used during the day in the past 90 natural days in the industry
events_m_disburse_g_90day_daytime_ratio	NUMBER	The proportion of phone number usage events in all industries that occurred during the day in the past 90 natural days
events_m_disburse_g_90day_l1imbank_count	NUMBER	Number of records of credit events in the non-bank financial industry in the past 90 natural days for mobile phone numbers
events_m_disburse_g_90day_l1imbank_daytime_count	NUMBER	Number of times the mobile phone number was used during the day in the non-bank financial industry in the past 90 natural days
events_m_disburse_g_90day_l1imbank_weekend_count	NUMBER	Number of times the mobile phone number was used in the non-bank financial industry on weekends in the past 90 natural days
events_m_disburse_g_90day_l1imbank_workday_count	NUMBER	Number of credit-using incidents in the non-bank financial industry that occurred on working days in the past 90 natural days
events_m_disburse_g_90day_workday_count	NUMBER	Number of times the mobile phone number was used on weekdays in the industry in the past 90 natural days
events_m_disburse_g_90day_workday_ratio	NUMBER	The proportion of phone number credit card usage events in all industries that occurred on weekdays in the past 90 natural days
events_m_ds_all_g_15day_d_count	NUMBER	The different days of all events in all industries within 15 natural days associated with the mobile phone number
events_m_ds_all_g_180day_d_count	NUMBER	The different days of all events in all industries within 180 natural days associated with the mobile phone number
events_m_ds_all_g_30day_d_count	NUMBER	The different days of all events in all industries within 30 natural days associated with the mobile phone number
events_m_ds_all_g_30day_deviceid_not_null_d_count	NUMBER	Number of active days for mobile phone numbers in all industries and all events in the past 30 natural days when the device is not empty
events_m_ds_all_g_30day_trueipaddresscity_not_null_d_count	NUMBER	Number of active days for a mobile phone number in all industries and all events in the past 30 natural days when the city is not empty
events_m_ds_all_g_365day_d_count	NUMBER	The different days of all events in all industries within 365 natural days associated with the mobile phone number
events_m_ds_all_g_60day_d_count	NUMBER	The different days of all events in all industries within 60 natural days associated with the mobile phone number
events_m_ds_all_g_90day_d_count	NUMBER	The different days of all events in all industries within 90 natural days associated with the mobile phone number
events_m_ds_disburse_g_15day_d_count	NUMBER	The different days of the credit events in all industries within 15 natural days associated with the mobile phone number
events_m_ds_disburse_g_180day_d_count	NUMBER	The different days of credit events in all industries within 180 natural days associated with the mobile phone number
events_m_ds_disburse_g_30day_d_count	NUMBER	The different days of credit events in all industries within 30 natural days associated with the mobile phone number
events_m_ds_disburse_g_365day_d_count	NUMBER	The different days of credit events in all industries within 365 natural days associated with the mobile phone number
events_m_ds_disburse_g_60day_d_count	NUMBER	The different days of credit events in all industries within 60 natural days associated with the mobile phone number
events_m_ds_disburse_g_90day_d_count	NUMBER	The different days of credit events in all industries within 90 natural days associated with the mobile phone number
events_m_ds_idv_g_15day_d_count	NUMBER	The different days of identity authentication events in all industries within 15 natural days associated with the mobile phone number
events_m_ds_idv_g_180day_d_count	NUMBER	The different days of identity authentication events in all industries within 180 natural days associated with the mobile phone number
events_m_ds_idv_g_30day_d_count	NUMBER	The different days of identity authentication events in all industries within 30 natural days associated with the mobile phone number
events_m_ds_idv_g_365day_d_count	NUMBER	Different days of identity authentication events in all industries within 365 natural days associated with the mobile phone number
events_m_ds_idv_g_60day_d_count	NUMBER	The different days of identity authentication events in all industries within 60 natural days associated with the mobile phone number
events_m_ds_idv_g_90day_d_count	NUMBER	The different days of identity authentication events in all industries within 90 natural days associated with the mobile phone number
events_m_ds_loan_g_15day_d_count	NUMBER	The different days of the credit events in all industries within 15 natural days associated with the mobile phone number
events_m_ds_loan_g_180day_d_count	NUMBER	The different days of credit events in all industries within 180 natural days associated with the mobile phone number
events_m_ds_loan_g_30day_d_count	NUMBER	The different days of credit events in all industries within 30 natural days associated with the mobile phone number
events_m_ds_loan_g_365day_d_count	NUMBER	The different days of credit events in all industries within 365 natural days associated with the mobile phone number
events_m_ds_loan_g_60day_d_count	NUMBER	The different days of credit events in all industries within 60 natural days associated with the mobile phone number
events_m_ds_loan_g_90day_d_count	NUMBER	The different days of credit events in all industries within 90 natural days associated with the mobile phone number
events_m_ds_login_g_15day_d_count	NUMBER	The different days of login events in all industries within 15 natural days associated with the mobile phone number
events_m_ds_login_g_180day_d_count	NUMBER	The different days of login events in all industries within 180 natural days associated with the mobile phone number
events_m_ds_login_g_30day_d_count	NUMBER	The different days of login events in all industries within 30 natural days associated with the mobile phone number
events_m_ds_login_g_365day_d_count	NUMBER	The different days of login events in all industries within 365 natural days associated with the mobile phone number
events_m_ds_login_g_60day_d_count	NUMBER	The different days of login events in all industries within 60 natural days associated with the mobile phone number
events_m_ds_login_g_90day_d_count	NUMBER	The different days of login events in all industries within 90 natural days associated with the mobile phone number
events_m_finalscore_all_g_15day_max	NUMBER	The maximum value of the risk score of the mobile phone number in the past 15 natural days
events_m_finalscore_all_g_180day_max	NUMBER	The maximum risk score of the mobile phone number in the past 180 natural days
events_m_finalscore_all_g_30day_max	NUMBER	The maximum value of the risk score of the mobile phone number in the past 30 natural days
events_m_finalscore_all_g_365day_max	NUMBER	The maximum risk score of the mobile phone number in the past 365 natural days
events_m_finalscore_all_g_60day_max	NUMBER	The maximum value of the risk score of the mobile phone number in the past 60 natural days
events_m_finalscore_all_g_90day_max	NUMBER	The maximum risk score of the mobile phone number in the past 90 natural days
events_m_i_all_g_15day_d_count	NUMBER	The number of different ID numbers associated with the mobile phone number in all industries and all events within 15 natural days
events_m_i_all_g_180day_d_count	NUMBER	The number of different ID numbers associated with the mobile phone number in all industries and all events within 180 natural days
events_m_i_all_g_30day_d_count	NUMBER	The number of different ID numbers associated with the mobile phone number in all industries and all events within 30 natural days
events_m_i_all_g_365day_d_count	NUMBER	The number of different ID numbers associated with the mobile phone number in all industries and all events within 365 natural days
events_m_i_all_g_60day_d_count	NUMBER	The number of different ID numbers associated with the mobile phone number in all industries and all events within 60 natural days
events_m_i_all_g_90day_d_count	NUMBER	The number of different ID numbers associated with the mobile phone number in all industries and all events within 90 natural days
events_m_idv_g_15day_avg	NUMBER	Average number of daily records in identity authentication events for all industries in the past 15 natural days by mobile phone number
events_m_idv_g_15day_count	NUMBER	Number of records of identity authentication events in the industry in the past 15 natural days by mobile phone number
events_m_idv_g_15day_daytime_count	NUMBER	Number of identity authentication events in the industry that occurred during the daytime in the past 15 natural days
events_m_idv_g_15day_daytime_ratio	NUMBER	The proportion of identity authentication events in all industries in the past 15 natural days that occurred during the daytime
events_m_idv_g_15day_l1imbank_count	NUMBER	Number of records of identity authentication events in the non-bank financial industry in the past 15 natural days for mobile phone numbers
events_m_idv_g_15day_l1imbank_daytime_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred during the day in the past 15 natural days
events_m_idv_g_15day_l1imbank_weekend_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred on weekends in the past 15 natural days
events_m_idv_g_15day_l1imbank_workday_count	NUMBER	Number of identity authentication events in the non-bank financial industry on working days for mobile phone numbers in the past 15 natural days
events_m_idv_g_15day_workday_count	NUMBER	Number of identity authentication events for mobile phone numbers occurring on weekdays in the industry in the past 15 natural days
events_m_idv_g_15day_workday_ratio	NUMBER	The proportion of identity authentication events in all industries that occurred on weekdays in the past 15 natural days
events_m_idv_g_180day_avg	NUMBER	Average number of daily records in identity authentication events for all industries in the past 180 natural days by mobile phone number
events_m_idv_g_180day_count	NUMBER	Number of records of identity authentication events in the industry in the past 180 natural days by mobile phone number
events_m_idv_g_180day_daytime_count	NUMBER	Number of identity authentication events in the industry that occurred during the day in the past 180 natural days
events_m_idv_g_180day_daytime_ratio	NUMBER	The proportion of identity authentication events in all industries that occurred during the day in the past 180 natural days for mobile phone numbers
events_m_idv_g_180day_l1imbank_count	NUMBER	Number of records of identity authentication events in the non-bank financial industry in the past 180 natural days for mobile phone numbers
events_m_idv_g_180day_l1imbank_daytime_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred during the daytime in the past 180 natural days
events_m_idv_g_180day_l1imbank_weekend_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred on weekends in the past 180 natural days
events_m_idv_g_180day_l1imbank_workday_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred on working days for mobile phone numbers in the past 180 natural days
events_m_idv_g_180day_workday_count	NUMBER	Number of identity authentication events for mobile phone numbers occurring on weekdays in the industry over the past 180 natural days
events_m_idv_g_180day_workday_ratio	NUMBER	The proportion of identity authentication events in all industries that occurred on weekdays in the past 180 natural days for mobile phone numbers
events_m_idv_g_30day_avg	NUMBER	Average number of daily records in identity authentication events for mobile phone numbers in all industries in the past 30 natural days
events_m_idv_g_30day_count	NUMBER	Number of records of identity authentication events in the industry in the past 30 natural days for mobile phone numbers
events_m_idv_g_30day_daytime_count	NUMBER	Number of identity authentication events in the industry that occurred during the daytime in the past 30 natural days
events_m_idv_g_30day_daytime_ratio	NUMBER	The proportion of identity authentication events in all industries in the past 30 natural days that occurred during the daytime
events_m_idv_g_30day_l1imbank_count	NUMBER	Number of records of identity authentication events in the non-bank financial industry in the past 30 natural days for mobile phone numbers
events_m_idv_g_30day_l1imbank_daytime_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred during the day in the past 30 natural days
events_m_idv_g_30day_l1imbank_weekend_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred on weekends in the past 30 natural days
events_m_idv_g_30day_l1imbank_workday_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred on working days for mobile phone numbers in the past 30 natural days
events_m_idv_g_30day_workday_count	NUMBER	Number of identity authentication events for mobile phone numbers in the industry that occurred on weekdays in the past 30 natural days
events_m_idv_g_30day_workday_ratio	NUMBER	The proportion of identity authentication events in all industries for mobile phone numbers that occurred on weekdays in the past 30 natural days
events_m_idv_g_365day_avg	NUMBER	Average number of daily records in identity authentication events for all industries in the past 365 natural days by mobile phone number
events_m_idv_g_365day_count	NUMBER	Number of records of identity authentication events in all industries in the past 365 natural days by mobile phone number
events_m_idv_g_365day_daytime_count	NUMBER	Number of identity authentication events in the industry that occurred during the daytime in the past 365 natural days
events_m_idv_g_365day_daytime_ratio	NUMBER	The proportion of identity authentication events in all industries in the past 365 natural days that occurred during the daytime
events_m_idv_g_365day_l1imbank_count	NUMBER	Number of records of identity authentication events in the non-bank financial industry in the past 365 natural days for mobile phone numbers
events_m_idv_g_365day_l1imbank_daytime_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred during the daytime in the past 365 natural days
events_m_idv_g_365day_l1imbank_weekend_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred on weekends in the past 365 natural days
events_m_idv_g_365day_l1imbank_workday_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred on working days in the past 365 natural days
events_m_idv_g_365day_workday_count	NUMBER	Number of identity authentication events for mobile phone numbers occurring on weekdays in the industry in the past 365 natural days
events_m_idv_g_365day_workday_ratio	NUMBER	The proportion of identity authentication events in all industries in the past 365 natural days that occurred on weekdays
events_m_idv_g_60day_avg	NUMBER	Average number of daily records in identity authentication events for mobile phone numbers in all industries in the past 60 natural days
events_m_idv_g_60day_count	NUMBER	Number of records of identity authentication events in the industry in the past 60 natural days by mobile phone number
events_m_idv_g_60day_daytime_count	NUMBER	Number of identity authentication events in the industry that occurred during the day for mobile phone numbers in the past 60 natural days
events_m_idv_g_60day_daytime_ratio	NUMBER	The proportion of identity authentication events in all industries in the past 60 natural days that occurred during the daytime
events_m_idv_g_60day_l1imbank_count	NUMBER	Number of records of identity authentication events in the non-bank financial industry in the past 60 natural days for mobile phone numbers
events_m_idv_g_60day_l1imbank_daytime_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred during the daytime in the past 60 natural days
events_m_idv_g_60day_l1imbank_weekend_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred on weekends in the past 60 natural days
events_m_idv_g_60day_l1imbank_workday_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred on working days for mobile phone numbers in the past 60 natural days
events_m_idv_g_60day_workday_count	NUMBER	Number of identity authentication events for mobile phone numbers in the industry that occurred on weekdays in the past 60 natural days
events_m_idv_g_60day_workday_ratio	NUMBER	The proportion of identity authentication events in all industries for mobile phone numbers that occurred on weekdays in the past 60 natural days
events_m_idv_g_90day_avg	NUMBER	Average number of daily records in identity authentication events for mobile phone numbers in all industries in the past 90 natural days
events_m_idv_g_90day_count	NUMBER	Number of records of identity authentication events in the industry in the past 90 natural days by mobile phone number
events_m_idv_g_90day_daytime_count	NUMBER	Number of identity authentication events in the industry that occurred during the day for mobile phone numbers in the past 90 natural days
events_m_idv_g_90day_daytime_ratio	NUMBER	The proportion of identity authentication events in all industries for mobile phone numbers that occurred during the day in the past 90 natural days
events_m_idv_g_90day_l1imbank_count	NUMBER	Number of records of identity authentication events in the non-bank financial industry in the past 90 natural days for mobile phone numbers
events_m_idv_g_90day_l1imbank_daytime_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred during the daytime in the past 90 natural days
events_m_idv_g_90day_l1imbank_weekend_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred on weekends in the past 90 natural days
events_m_idv_g_90day_l1imbank_workday_count	NUMBER	Number of identity authentication events in the non-bank financial industry that occurred on working days for mobile phone numbers in the past 90 natural days
events_m_idv_g_90day_workday_count	NUMBER	Number of identity authentication events for mobile phone numbers in the industry that occurred on weekdays in the past 90 natural days
events_m_idv_g_90day_workday_ratio	NUMBER	The proportion of identity authentication events in all industries for mobile phone numbers that occurred on weekdays in the past 90 natural days
events_m_incr180_i_all_g_365day_d_count	NUMBER	The number of new ID cards associated with mobile phone numbers in the past 180 natural days in all industries and all events within 365 natural days compared with 180-365 natural days
events_m_incr60_i_all_g_180day_d_count	NUMBER	The number of new ID cards associated with mobile phone numbers in the past 180 natural days in all industries and all events in the past 60 natural days compared with the number of new ID cards in the past 60-180 natural days
events_m_incr60_i_all_g_365day_d_count	NUMBER	The number of new ID cards associated with mobile phone numbers in the past 60 natural days for all industries and all events within 365 natural days compared with 60-365 natural days
events_m_incr90_i_all_g_180day_d_count	NUMBER	The number of new ID cards associated with mobile phone numbers in the past 90 natural days for all industries and all events within 180 natural days compared with the number of new ID cards in the past 90 natural days between 90 and 180 natural days
events_m_incr90_i_all_g_365day_d_count	NUMBER	The number of new ID cards associated with mobile phone numbers in the past 90 natural days for all industries and all events within 365 natural days compared with the number of new ID cards in the past 90 natural days between 90 and 365 natural days
events_m_installeddangerapps_all_g_30day_d_count	NUMBER	The number of mobile phone numbers with risky device installation risk tags removed in the past 30 natural days
events_m_installeddangerapps_all_g_7day_d_count	NUMBER	The number of mobile phone numbers with the most recent 7 days of risk equipment installation risk tags removed
events_m_last_contdds_disburse_g_15day_l1imbank_count	NUMBER	The number of recent consecutive records of credit events in the non-bank financial industry within 15 natural numbers associated with the mobile phone number
events_m_last_contdds_disburse_g_180day_l1imbank_count	NUMBER	The number of recent consecutive records of credit events in the non-bank financial industry within 180 natural numbers associated with the mobile phone number
events_m_last_contdds_disburse_g_30day_l1imbank_count	NUMBER	The number of recent consecutive records of credit events in the non-bank financial industry within 30 natural numbers associated with the mobile phone number
events_m_last_contdds_disburse_g_365day_l1imbank_count	NUMBER	The number of recent consecutive records of credit events in the non-bank financial industry within 365 natural numbers associated with the mobile phone number
events_m_last_contdds_disburse_g_60day_l1imbank_count	NUMBER	The number of recent consecutive records of credit events in the non-bank financial industry within 60 natural numbers associated with the mobile phone number
events_m_last_contdds_disburse_g_90day_l1imbank_count	NUMBER	The number of recent consecutive records of credit events in the non-bank financial industry within 90 natural numbers associated with the mobile phone number
events_m_last_contdds_ds_disburse_g_15day_l1imbank	NUMBER	The number of consecutive days of credit events in the non-bank financial industry associated with the mobile phone number within 15 natural days
events_m_last_contdds_ds_disburse_g_180day_l1imbank	NUMBER	The number of consecutive days of credit events in the non-bank financial industry associated with the mobile phone number within 180 natural days
events_m_last_contdds_ds_disburse_g_30day_l1imbank	NUMBER	The number of consecutive days of credit events in the non-bank financial industry associated with the mobile phone number within 30 natural days
events_m_last_contdds_ds_disburse_g_365day_l1imbank	NUMBER	The number of consecutive days of credit events in the non-bank financial industry associated with the mobile phone number within 365 natural days
events_m_last_contdds_ds_disburse_g_60day_l1imbank	NUMBER	The number of consecutive days of credit events in the non-bank financial industry associated with the mobile phone number within 60 natural days
events_m_last_contdds_ds_disburse_g_90day_l1imbank	NUMBER	The number of consecutive days of credit events in the non-bank financial industry associated with the mobile phone number within 90 natural days
events_m_last_contdds_ds_idv_g_15day_l1imbank	NUMBER	The number of consecutive days of the most recent identity authentication event in the non-bank financial industry associated with the mobile phone number within 15 natural days
events_m_last_contdds_ds_idv_g_180day_l1imbank	NUMBER	The number of consecutive days of the most recent identity authentication event in the non-bank financial industry associated with the mobile phone number within 180 natural days
events_m_last_contdds_ds_idv_g_30day_l1imbank	NUMBER	The number of consecutive days of the most recent identity authentication event in the non-bank financial industry associated with the mobile phone number within 30 natural days
events_m_last_contdds_ds_idv_g_365day_l1imbank	NUMBER	The number of consecutive days of the most recent identity authentication event in the non-bank financial industry associated with the mobile phone number within 365 natural days
events_m_last_contdds_ds_idv_g_60day_l1imbank	NUMBER	The number of consecutive days of the most recent identity authentication event in the non-bank financial industry associated with the mobile phone number within 60 natural days
events_m_last_contdds_ds_idv_g_90day_l1imbank	NUMBER	The number of consecutive days of the most recent identity authentication event in the non-bank financial industry associated with the mobile phone number within 90 natural days
events_m_last_contdds_ds_loan_g_15day	NUMBER	The number of consecutive days of credit events in all industries in the past 15 natural days for the mobile phone number
events_m_last_contdds_ds_loan_g_15day_l1imbank	NUMBER	The number of consecutive days of the most recent credit event in the non-bank financial industry associated with the mobile phone number within 15 natural days
events_m_last_contdds_ds_loan_g_180day	NUMBER	The number of consecutive days of the latest credit events in all industries within the past 180 natural days for the mobile phone number
events_m_last_contdds_ds_loan_g_180day_l1imbank	NUMBER	The number of consecutive days of the most recent credit event in the non-bank financial industry associated with the mobile phone number within 180 natural days
events_m_last_contdds_ds_loan_g_30day	NUMBER	The number of consecutive days of credit events in all industries in the past 30 natural days for the mobile phone number
events_m_last_contdds_ds_loan_g_30day_l1imbank	NUMBER	The number of consecutive days of the most recent credit event in the non-bank financial industry associated with the mobile phone number within 30 natural days
events_m_last_contdds_ds_loan_g_365day	NUMBER	The number of consecutive days of credit events in all industries in the past 365 natural days for the mobile phone number
events_m_last_contdds_ds_loan_g_365day_l1imbank	NUMBER	The number of consecutive days of the most recent credit event in the non-bank financial industry associated with the mobile phone number within 365 natural days
events_m_last_contdds_ds_loan_g_60day	NUMBER	The number of consecutive days of the most recent credit events in all industries within the past 60 natural days for the mobile phone number
events_m_last_contdds_ds_loan_g_60day_l1imbank	NUMBER	The number of consecutive days of the most recent credit event in the non-bank financial industry associated with the mobile phone number within 60 natural days
events_m_last_contdds_ds_loan_g_90day	NUMBER	The number of consecutive days of credit events in all industries in the past 90 natural days for the mobile phone number
events_m_last_contdds_ds_loan_g_90day_l1imbank	NUMBER	The number of consecutive days of the most recent credit event in the non-bank financial industry associated with the mobile phone number within 90 natural days
events_m_last_contdds_ds_login_g_15day_l1imbank	NUMBER	The number of consecutive days of login events in the non-bank financial industry associated with the mobile phone number within 15 natural days
events_m_last_contdds_ds_login_g_180day_l1imbank	NUMBER	The number of consecutive days of login events in the non-bank financial industry associated with the mobile phone number within 180 natural days
events_m_last_contdds_ds_login_g_30day_l1imbank	NUMBER	The number of consecutive days of login events in the non-bank financial industry associated with the mobile phone number within 30 natural days
events_m_last_contdds_ds_login_g_365day_l1imbank	NUMBER	The number of consecutive days of login events in the non-bank financial industry associated with the mobile phone number within 365 natural days
events_m_last_contdds_ds_login_g_60day_l1imbank	NUMBER	The number of consecutive days of login events in the non-bank financial industry associated with the mobile phone number within 60 natural days.
events_m_last_contdds_ds_login_g_90day_l1imbank	NUMBER	The number of consecutive days of login events in the non-bank financial industry associated with the mobile phone number within 90 natural days
events_m_last_contdds_idv_g_15day_l1imbank_count	NUMBER	The number of recent consecutive records of identity authentication events in the non-bank financial industry within 15 natural numbers associated with the mobile phone number
events_m_last_contdds_idv_g_180day_l1imbank_count	NUMBER	The number of recent consecutive records of identity authentication events in the non-bank financial industry within 180 natural numbers associated with the mobile phone number
events_m_last_contdds_idv_g_30day_l1imbank_count	NUMBER	The number of recent consecutive records of identity authentication events in the non-bank financial industry within 30 natural numbers associated with the mobile phone number
events_m_last_contdds_idv_g_365day_l1imbank_count	NUMBER	The number of recent consecutive records of identity authentication events in the non-bank financial industry within 365 natural numbers associated with the mobile phone number
events_m_last_contdds_idv_g_60day_l1imbank_count	NUMBER	The number of recent consecutive records of identity authentication events in the non-bank financial industry within 60 natural numbers associated with the mobile phone number
events_m_last_contdds_idv_g_90day_l1imbank_count	NUMBER	The number of recent consecutive records of identity authentication events in the non-bank financial industry within 90 natural numbers associated with the mobile phone number
events_m_last_contdds_loan_g_15day_count	NUMBER	The number of recent consecutive records of credit events in all industries in the past 15 natural days for the mobile phone number
events_m_last_contdds_loan_g_15day_l1imbank_count	NUMBER	The number of recent consecutive records of credit events in the non-bank financial industry within 15 natural days associated with the mobile phone number
events_m_last_contdds_loan_g_180day_count	NUMBER	The number of recent consecutive records of credit events in all industries in the past 180 natural days for the mobile phone number
events_m_last_contdds_loan_g_180day_l1imbank_count	NUMBER	The number of recent consecutive records of credit granting events in the non-bank financial industry within 180 natural days associated with the mobile phone number
events_m_last_contdds_loan_g_30day_count	NUMBER	The number of recent consecutive records of credit events in all industries in the past 30 natural days for the mobile phone number
events_m_last_contdds_loan_g_30day_l1imbank_count	NUMBER	The number of recent consecutive records of credit granting events in the non-bank financial industry within 30 natural days associated with the mobile phone number
events_m_last_contdds_loan_g_365day_count	NUMBER	The number of recent consecutive records of credit events in all industries in the past 365 natural days for the mobile phone number
events_m_last_contdds_loan_g_365day_l1imbank_count	NUMBER	The number of recent consecutive records of credit granting events in the non-bank financial industry within 365 natural days associated with the mobile phone number
events_m_last_contdds_loan_g_60day_count	NUMBER	The number of recent consecutive records of credit events in all industries in the past 60 natural days for the mobile phone number
events_m_last_contdds_loan_g_60day_l1imbank_count	NUMBER	The number of recent consecutive records of credit granting events in the non-bank financial industry within 60 natural days associated with the mobile phone number
events_m_last_contdds_loan_g_90day_count	NUMBER	The number of recent consecutive records of credit events in all industries in the past 90 natural days for the mobile phone number
events_m_last_contdds_loan_g_90day_l1imbank_count	NUMBER	The number of recent consecutive records of credit granting events in the non-bank financial industry within 90 natural days associated with the mobile phone number
events_m_last_contdds_login_g_15day_l1imbank_count	NUMBER	The number of recent consecutive records of login events in the non-bank financial industry within 15 natural numbers associated with the mobile phone number
events_m_last_contdds_login_g_180day_l1imbank_count	NUMBER	The number of recent consecutive records of login events in the non-bank financial industry within 180 natural numbers associated with the mobile phone number
events_m_last_contdds_login_g_30day_l1imbank_count	NUMBER	The number of recent consecutive records of login events in the non-bank financial industry within 30 natural numbers associated with the mobile phone number
events_m_last_contdds_login_g_365day_l1imbank_count	NUMBER	The number of recent consecutive records of login events in the non-bank financial industry within 365 natural numbers associated with the mobile phone number
events_m_last_contdds_login_g_60day_l1imbank_count	NUMBER	The number of recent consecutive records of login events in the non-bank financial industry within 60 natural numbers associated with the mobile phone number
events_m_last_contdds_login_g_90day_l1imbank_count	NUMBER	The number of recent consecutive records of login events in the non-bank financial industry within 90 natural numbers associated with the mobile phone number
events_m_lastmth_partner_disburse_g_180day_d_count	NUMBER	The number of different platforms in the industry's credit-using events within 180 natural numbers associated with the mobile phone number in the first full natural month
events_m_lastmth_partner_disburse_g_365day_d_count	NUMBER	The number of different platforms in the industry's credit card usage events within the 365 natural numbers associated with the mobile phone number in the first full natural month
events_m_lastmth_partner_disburse_g_60day_d_count	NUMBER	The number of different platforms in the industry's credit-using events within 60 natural numbers associated with the mobile phone number in the first full natural month
events_m_lastmth_partner_disburse_g_90day_d_count	NUMBER	The number of different platforms in the industry's credit-using events within 90 natural numbers associated with the mobile phone number in the first full natural month
events_m_lastmth_partner_idv_g_180day_d_count	NUMBER	Number of different platforms in the first full natural month in the industry-wide identity authentication events within 180 natural numbers associated with the mobile phone number
events_m_lastmth_partner_idv_g_365day_d_count	NUMBER	The number of different platforms in the first full natural month in the identity authentication events in the industry within 365 natural numbers associated with the mobile phone number
events_m_lastmth_partner_idv_g_60day_d_count	NUMBER	Number of different platforms in the industry's identity authentication events within 60 natural numbers associated with the mobile phone number in the first full natural month
events_m_lastmth_partner_idv_g_90day_d_count	NUMBER	The number of different platforms in the industry's identity authentication events within 90 natural numbers associated with the mobile phone number in the first full natural month
events_m_lastmth_partner_loan_g_365day_d_count	NUMBER	Number of different platforms in the first full natural month in which the mobile phone number is associated with the credit granting events in the entire industry within 365 days
events_m_lastmth_partner_login_g_180day_d_count	NUMBER	Number of login events on different platforms in the first full natural month in all industries within 180 natural numbers associated with the mobile phone number
events_m_lastmth_partner_login_g_365day_d_count	NUMBER	Number of login events on different platforms in the first full natural month in all industries within the 365 natural numbers associated with the mobile phone number
events_m_lastmth_partner_login_g_60day_d_count	NUMBER	Number of login events on different platforms in the first full natural month in all industries within 60 natural numbers associated with the mobile phone number
events_m_lastmth_partner_login_g_90day_d_count	NUMBER	Number of login events on different platforms in the first full natural month in all industries within 90 natural numbers associated with the mobile phone number
events_m_loan_g_15day_avg	NUMBER	Average number of records per day in credit events for all industries in the past 15 natural days for mobile phone numbers
events_m_loan_g_15day_count	NUMBER	Number of times the mobile phone number appears in credit granting events in the industry in the past 15 natural days
events_m_loan_g_15day_daytime_count	NUMBER	Number of credit granting events in the industry that occurred during the daytime in the past 15 natural days
events_m_loan_g_15day_daytime_ratio	NUMBER	The proportion of credit events in all industries in the past 15 natural days that occurred during the daytime
events_m_loan_g_15day_l1imbank_count	NUMBER	Number of records of credit events in the non-bank financial industry in the past 15 natural days for mobile phone numbers
events_m_loan_g_15day_l1imbank_daytime_count	NUMBER	Number of credit events in the non-bank financial industry that occurred during the day in the past 15 natural days
events_m_loan_g_15day_l1imbank_weekend_count	NUMBER	Number of credit granting events in the non-bank financial industry that occurred on weekends in the past 15 natural days
events_m_loan_g_15day_l1imbank_workday_count	NUMBER	Number of credit events in the non-bank financial industry that occurred on working days in the past 15 natural days
events_m_loan_g_15day_workday_count	NUMBER	Number of credit granting events in the industry that occurred on working days for mobile phone numbers in the past 15 natural days
events_m_loan_g_15day_workday_ratio	NUMBER	The proportion of credit granting events in all industries for mobile phone numbers that occurred on working days in the past 15 natural days
events_m_loan_g_180day_avg	NUMBER	Average number of records per day in credit granting events for all industries in the past 180 natural days by mobile phone number
events_m_loan_g_180day_count	NUMBER	Number of times the mobile phone number appears in credit granting events in the industry in the past 180 natural days
events_m_loan_g_180day_daytime_count	NUMBER	Number of credit granting events in the industry that occurred during the day in the past 180 natural days
events_m_loan_g_180day_daytime_ratio	NUMBER	The proportion of credit events in all industries that occurred during the day in the past 180 natural days for mobile phone numbers
events_m_loan_g_180day_l1imbank_count	NUMBER	Number of records of credit events in the non-bank financial industry in the past 180 natural days for mobile phone numbers
events_m_loan_g_180day_l1imbank_daytime_count	NUMBER	Number of credit events in the non-bank financial industry that occurred during the day in the past 180 natural days
events_m_loan_g_180day_l1imbank_weekend_count	NUMBER	Number of credit granting events in the non-bank financial industry that occurred on weekends in the past 180 natural days
events_m_loan_g_180day_l1imbank_workday_count	NUMBER	Number of credit events in the non-bank financial industry that occurred on working days for mobile phone numbers in the past 180 natural days
events_m_loan_g_180day_workday_count	NUMBER	Number of credit granting events in the industry that occurred on working days for mobile phone numbers in the past 180 natural days
events_m_loan_g_180day_workday_ratio	NUMBER	The proportion of credit granting events in all industries for mobile phone numbers that occurred on working days in the past 180 natural days
events_m_loan_g_30day_avg	NUMBER	Average number of records per day in credit granting events for all industries in the past 30 natural days for mobile phone numbers
events_m_loan_g_30day_count	NUMBER	Number of times the mobile phone number appears in credit granting events in the industry within the past 30 natural days
events_m_loan_g_30day_daytime_count	NUMBER	Number of credit granting events in the industry that occurred during the daytime in the past 30 natural days for mobile phone numbers
events_m_loan_g_30day_daytime_ratio	NUMBER	The proportion of credit events in all industries that occurred during the daytime in the past 30 natural days for mobile phone numbers
events_m_loan_g_30day_l1imbank_count	NUMBER	Number of records of credit events in the non-bank financial industry in the past 30 natural days for mobile phone numbers
events_m_loan_g_30day_l1imbank_daytime_count	NUMBER	Number of credit events in the non-bank financial industry that occurred during the daytime in the past 30 natural days
events_m_loan_g_30day_l1imbank_weekend_count	NUMBER	Number of credit granting events in the non-bank financial industry that occurred on weekends in the past 30 natural days
events_m_loan_g_30day_l1imbank_workday_count	NUMBER	Number of credit events in the non-bank financial industry that occurred on working days for mobile phone numbers in the past 30 natural days
events_m_loan_g_30day_workday_count	NUMBER	Number of credit granting events for mobile phone numbers occurring on working days in the industry within the past 30 natural days
events_m_loan_g_30day_workday_ratio	NUMBER	The proportion of credit events in all industries that occurred on working days in the past 30 natural days for mobile phone numbers
events_m_loan_g_365day_avg	NUMBER	Average number of records per day in credit events for all industries in the past 365 natural days for mobile phone numbers
events_m_loan_g_365day_count	NUMBER	Number of times the mobile phone number appears in credit granting events in the industry in the past 365 natural days
events_m_loan_g_365day_daytime_count	NUMBER	Number of credit granting events in the industry that occurred during the daytime in the past 365 natural days
events_m_loan_g_365day_daytime_ratio	NUMBER	The proportion of credit events in all industries that occurred during the daytime in the past 365 natural days for mobile phone numbers
events_m_loan_g_365day_l1imbank_count	NUMBER	Number of records of credit granting events in the non-bank financial industry in the past 365 natural days for mobile phone numbers
events_m_loan_g_365day_l1imbank_daytime_count	NUMBER	Number of credit events in the non-bank financial industry that occurred during the daytime in the past 365 natural days
events_m_loan_g_365day_l1imbank_weekend_count	NUMBER	Number of credit granting events in the non-bank financial industry that occurred on weekends in the past 365 natural days
events_m_loan_g_365day_l1imbank_workday_count	NUMBER	Number of credit events in the non-bank financial industry that occurred on working days in the past 365 natural days
events_m_loan_g_365day_workday_count	NUMBER	Number of credit granting events for mobile phone numbers occurring on working days in the industry in the past 365 natural days
events_m_loan_g_365day_workday_ratio	NUMBER	The proportion of credit granting events for mobile phone numbers in all industries that occurred on working days in the past 365 natural days
events_m_loan_g_60day_avg	NUMBER	Average number of records per day in credit granting events for all industries in the past 60 natural days for mobile phone numbers
events_m_loan_g_60day_count	NUMBER	Number of times the mobile phone number appears in credit granting events in the industry in the past 60 natural days
events_m_loan_g_60day_daytime_count	NUMBER	Number of credit granting events in the industry that occurred during the daytime in the past 60 natural days
events_m_loan_g_60day_daytime_ratio	NUMBER	The proportion of credit events in all industries that occurred during the daytime in the past 60 natural days for mobile phone numbers
events_m_loan_g_60day_l1imbank_count	NUMBER	Number of records of credit events in the non-bank financial industry in the past 60 natural days for mobile phone numbers
events_m_loan_g_60day_l1imbank_daytime_count	NUMBER	Number of credit events in the non-bank financial industry that occurred during the day in the past 60 natural days
events_m_loan_g_60day_l1imbank_weekend_count	NUMBER	Number of credit granting events in the non-bank financial industry that occurred on weekends in the past 60 natural days
events_m_loan_g_60day_l1imbank_workday_count	NUMBER	Number of credit granting events in the non-bank financial industry that occurred on working days for mobile phone numbers in the past 60 natural days
events_m_loan_g_60day_workday_count	NUMBER	Number of credit granting events in the industry that occurred on working days for mobile phone numbers in the past 60 natural days
events_m_loan_g_60day_workday_ratio	NUMBER	The proportion of credit granting events in all industries for mobile phone numbers that occurred on working days in the past 60 natural days
events_m_loan_g_90day_avg	NUMBER	Average number of records per day in credit granting events for all industries in the past 90 natural days for mobile phone numbers
events_m_loan_g_90day_count	NUMBER	Number of times the mobile phone number appears in credit granting events in the industry in the past 90 natural days
events_m_loan_g_90day_daytime_count	NUMBER	Number of credit granting events in the industry that occurred during the day in the past 90 natural days
events_m_loan_g_90day_daytime_ratio	NUMBER	The proportion of credit events in all industries that occurred during the daytime in the past 90 natural days for mobile phone numbers
events_m_loan_g_90day_l1imbank_count	NUMBER	Number of records of credit granting events in the non-bank financial industry in the past 90 natural days for mobile phone numbers
events_m_loan_g_90day_l1imbank_daytime_count	NUMBER	Number of credit events in the non-bank financial industry that occurred during the day in the past 90 natural days
events_m_loan_g_90day_l1imbank_weekend_count	NUMBER	Number of credit granting events in the non-bank financial industry that occurred on weekends in the past 90 natural days
events_m_loan_g_90day_l1imbank_workday_count	NUMBER	Number of credit events in the non-bank financial industry that occurred on working days for mobile phone numbers in the past 90 natural days
events_m_loan_g_90day_workday_count	NUMBER	Number of credit granting events in the industry that occurred on working days for mobile phone numbers in the past 90 natural days
events_m_loan_g_90day_workday_ratio	NUMBER	The proportion of credit granting events in all industries for mobile phone numbers that occurred on working days in the past 90 natural days
events_m_loan_p_180day_count	NUMBER	Number of times the mobile phone number appears in loan events in the past 180 natural days
events_m_loan_p_30day_count	NUMBER	Number of times the mobile phone number appears in loan events in the past 30 natural days
events_m_loan_p_365day_count	NUMBER	Number of times the mobile phone number appears in loan events in the past 365 natural days
events_m_loan_p_7day_count	NUMBER	Number of times the mobile phone number appears in loan events in the past 7 natural days
events_m_loan_p_90day_count	NUMBER	Number of times the mobile phone number appears in loan events in the past 90 natural days
events_m_login_g_15day_avg	NUMBER	Average number of daily records in login events for all industries by mobile phone number in the past 15 natural days
events_m_login_g_15day_count	NUMBER	Number of records of login events in all industries by mobile phone number in the past 15 natural days
events_m_login_g_15day_daytime_count	NUMBER	Number of login events in the industry during the daytime using mobile phone numbers in the past 15 natural days
events_m_login_g_15day_daytime_ratio	NUMBER	The proportion of login events in all industries in the past 15 natural days that occurred during the day
events_m_login_g_15day_l1imbank_count	NUMBER	Number of records of login events in the non-bank financial industry in the past 15 natural days by mobile phone number
events_m_login_g_15day_l1imbank_daytime_count	NUMBER	Number of login events in the non-bank financial industry that occurred during the daytime in the past 15 natural days
events_m_login_g_15day_l1imbank_weekend_count	NUMBER	Number of login events in the non-bank financial industry that occurred on weekends in the past 15 natural days
events_m_login_g_15day_l1imbank_workday_count	NUMBER	Number of login events in the non-bank financial industry on working days for mobile phone numbers in the past 15 natural days
events_m_login_g_15day_workday_count	NUMBER	Number of login events in the industry that occurred on weekdays in the past 15 natural days
events_m_login_g_15day_workday_ratio	NUMBER	The proportion of login events of mobile phone numbers in all industries that occurred on weekdays in the past 15 natural days
events_m_login_g_180day_avg	NUMBER	Average number of daily records in login events for all industries by mobile phone number in the past 180 natural days
events_m_login_g_180day_count	NUMBER	Number of records of login events in all industries by mobile phone number in the past 180 natural days
events_m_login_g_180day_daytime_count	NUMBER	Number of login events in the industry during the daytime using mobile phone numbers in the past 180 natural days
events_m_login_g_180day_daytime_ratio	NUMBER	The proportion of login events in all industries that occurred during the daytime in the past 180 natural days using mobile phone numbers
events_m_login_g_180day_l1imbank_count	NUMBER	Number of records of login events in the non-bank financial industry in the past 180 natural days by mobile phone number
events_m_login_g_180day_l1imbank_daytime_count	NUMBER	Number of login events in the non-bank financial industry that occurred during the daytime in the past 180 natural days
events_m_login_g_180day_l1imbank_weekend_count	NUMBER	Number of login events in the non-bank financial industry that occurred on weekends in the past 180 natural days
events_m_login_g_180day_l1imbank_workday_count	NUMBER	Number of login events in the non-bank financial industry that occurred on working days in the past 180 natural days
events_m_login_g_180day_workday_count	NUMBER	Number of login events for mobile phone numbers in the industry that occurred on weekdays in the past 180 natural days
events_m_login_g_180day_workday_ratio	NUMBER	The proportion of login events of mobile phone numbers in all industries that occurred on weekdays in the past 180 natural days
events_m_login_g_30day_avg	NUMBER	Average number of daily records in login events for all industries by mobile phone number in the past 30 natural days
events_m_login_g_30day_count	NUMBER	Number of records of login events in all industries by mobile phone number in the past 30 natural days
events_m_login_g_30day_daytime_count	NUMBER	Number of login events in the industry that occurred during the daytime in the past 30 natural days using a mobile phone number
events_m_login_g_30day_daytime_ratio	NUMBER	The proportion of login events in all industries that occurred during the daytime in the past 30 natural days using mobile phone numbers
events_m_login_g_30day_l1imbank_count	NUMBER	Number of records of login events in the non-bank financial industry in the past 30 natural days by mobile phone number
events_m_login_g_30day_l1imbank_daytime_count	NUMBER	Number of login events in the non-bank financial industry that occurred during the daytime in the past 30 natural days
events_m_login_g_30day_l1imbank_weekend_count	NUMBER	Number of login events in the non-bank financial industry that occurred on weekends in the past 30 natural days
events_m_login_g_30day_l1imbank_workday_count	NUMBER	Number of login events in the non-bank financial industry on working days for mobile phone numbers in the past 30 natural days
events_m_login_g_30day_workday_count	NUMBER	Number of login events for mobile phone numbers in the industry that occurred on weekdays in the past 30 natural days
events_m_login_g_30day_workday_ratio	NUMBER	The proportion of login events of mobile phone numbers in all industries that occurred on weekdays in the past 30 natural days
events_m_login_g_365day_avg	NUMBER	Average number of daily records of login events in all industries by mobile phone number in the past 365 natural days
events_m_login_g_365day_count	NUMBER	Number of records of login events in all industries by mobile phone number in the past 365 natural days
events_m_login_g_365day_daytime_count	NUMBER	Number of login events in the industry during the daytime using mobile phone numbers in the past 365 natural days
events_m_login_g_365day_daytime_ratio	NUMBER	The proportion of login events in all industries that occurred during the daytime in the past 365 natural days
events_m_login_g_365day_l1imbank_count	NUMBER	Number of records of login events in the non-bank financial industry in the past 365 natural days by mobile phone number
events_m_login_g_365day_l1imbank_daytime_count	NUMBER	Number of login events in the non-bank financial industry that occurred during the daytime in the past 365 natural days
events_m_login_g_365day_l1imbank_weekend_count	NUMBER	Number of login events in the non-bank financial industry that occurred on weekends in the past 365 natural days
events_m_login_g_365day_l1imbank_workday_count	NUMBER	Number of login events in the non-bank financial industry that occurred on working days in the past 365 natural days
events_m_login_g_365day_workday_count	NUMBER	Number of login events for mobile phone numbers in the industry that occurred on weekdays in the past 365 natural days
events_m_login_g_365day_workday_ratio	NUMBER	The proportion of login events of mobile phone numbers in all industries that occurred on weekdays in the past 365 natural days
events_m_login_g_60day_avg	NUMBER	Average number of daily records in login events for all industries by mobile phone number in the past 60 natural days
events_m_login_g_60day_count	NUMBER	Number of records of login events in all industries by mobile phone number in the past 60 natural days
events_m_login_g_60day_daytime_count	NUMBER	Number of login events in the industry during the daytime using mobile phone numbers in the past 60 natural days
events_m_login_g_60day_daytime_ratio	NUMBER	The proportion of login events in all industries that occurred during the day in the past 60 natural days using mobile phone numbers
events_m_login_g_60day_l1imbank_count	NUMBER	Number of records of login events in the non-bank financial industry in the past 60 natural days by mobile phone number
events_m_login_g_60day_l1imbank_daytime_count	NUMBER	Number of login events in the non-bank financial industry that occurred during the daytime in the past 60 natural days
events_m_login_g_60day_l1imbank_weekend_count	NUMBER	Number of login events in the non-bank financial industry that occurred on weekends in the past 60 natural days
events_m_login_g_60day_l1imbank_workday_count	NUMBER	Number of login events in the non-bank financial industry that occurred on working days for mobile phone numbers in the past 60 natural days
events_m_login_g_60day_workday_count	NUMBER	Number of login events for mobile phone numbers in the industry that occurred on weekdays in the past 60 natural days
events_m_login_g_60day_workday_ratio	NUMBER	The proportion of login events of mobile phone numbers in all industries that occurred on weekdays in the past 60 natural days
events_m_login_g_90day_avg	NUMBER	Average number of daily records in login events for mobile phone numbers in all industries in the past 90 natural days
events_m_login_g_90day_count	NUMBER	Number of records of login events in all industries by mobile phone number in the past 90 natural days
events_m_login_g_90day_daytime_count	NUMBER	Number of login events in the industry that occurred during the daytime in the past 90 natural days using a mobile phone number
events_m_login_g_90day_daytime_ratio	NUMBER	The proportion of login events in all industries that occurred during the daytime in the past 90 natural days using mobile phone numbers
events_m_login_g_90day_l1imbank_count	NUMBER	Number of records of login events in the non-bank financial industry in the past 90 natural days by mobile phone number
events_m_login_g_90day_l1imbank_daytime_count	NUMBER	Number of login events in the non-bank financial industry that occurred during the daytime in the past 90 natural days
events_m_login_g_90day_l1imbank_weekend_count	NUMBER	Number of login events in the non-bank financial industry that occurred on weekends in the past 90 natural days
events_m_login_g_90day_l1imbank_workday_count	NUMBER	Number of login events in the non-bank financial industry that occurred on working days for mobile phone numbers in the past 90 natural days
events_m_login_g_90day_workday_count	NUMBER	Number of login events for mobile phone numbers in the industry that occurred on weekdays in the past 90 natural days
events_m_login_g_90day_workday_ratio	NUMBER	The proportion of login events of mobile phone numbers in all industries that occurred on weekdays in the past 90 natural days
events_m_maxcnt_dayperiod_all_g_15day_l1imbank_value	NUMBER	The most preferred time period for all events in the non-bank financial industry in the past 15 natural days
events_m_maxcnt_dayperiod_all_g_180day_l1imbank_value	NUMBER	The most preferred time period for all events in the non-bank financial industry in the past 180 natural days for mobile phone numbers
events_m_maxcnt_dayperiod_all_g_30day_l1imbank_value	NUMBER	The most preferred time period for all events in the non-bank financial industry in the past 30 natural days
events_m_maxcnt_dayperiod_all_g_365day_l1imbank_value	NUMBER	The most preferred time period for all events in the non-bank financial industry in the past 365 natural days by mobile phone number
events_m_maxcnt_dayperiod_all_g_60day_l1imbank_value	NUMBER	The most preferred time period for all events in the non-bank financial industry in the past 60 natural days
events_m_maxcnt_dayperiod_all_g_90day_l1imbank_value	NUMBER	The most preferred time period for all events in the non-bank financial industry in the past 90 natural days for mobile phone numbers
events_m_maxcnt_wkperoid_disburse_g_15day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the non-bank financial industry credit use events in the past 15 natural days within the week
events_m_maxcnt_wkperoid_disburse_g_180day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the non-bank financial industry credit use events in the past 180 natural days within the week
events_m_maxcnt_wkperoid_disburse_g_30day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the non-bank financial industry credit use events in the past 30 natural days within the week
events_m_maxcnt_wkperoid_disburse_g_365day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the non-bank financial industry credit use events in the past 365 natural days within the week
events_m_maxcnt_wkperoid_disburse_g_60day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the non-bank financial industry credit use events in the past 60 natural days within the week
events_m_maxcnt_wkperoid_disburse_g_90day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the non-bank financial industry credit use events in the past 90 natural days within the week
events_m_maxcnt_wkperoid_idv_g_15day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the identity authentication events in the non-bank financial industry in the past 15 natural days by mobile phone number
events_m_maxcnt_wkperoid_idv_g_180day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the identity authentication events in the non-bank financial industry in the past 180 natural days
events_m_maxcnt_wkperoid_idv_g_30day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the identity authentication events in the non-bank financial industry in the past 30 natural days for mobile phone numbers
events_m_maxcnt_wkperoid_idv_g_365day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the identity authentication events of mobile phone numbers in the non-bank financial industry in the past 365 natural days
events_m_maxcnt_wkperoid_idv_g_60day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the identity authentication events in the non-bank financial industry in the past 60 natural days for mobile phone numbers
events_m_maxcnt_wkperoid_idv_g_90day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the identity authentication events in the non-bank financial industry in the past 90 natural days for mobile phone numbers
events_m_maxcnt_wkperoid_loan_g_15day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the credit granting events in the non-bank financial industry within the past 15 natural days by mobile phone number during the week
events_m_maxcnt_wkperoid_loan_g_180day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the credit granting events of non-bank financial industry in the past 180 natural days in the weekly time period
events_m_maxcnt_wkperoid_loan_g_30day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the credit granting events in the non-bank financial industry within the past 30 natural days by mobile phone number during the week
events_m_maxcnt_wkperoid_loan_g_365day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the credit granting events of non-bank financial industry in the past 365 natural days by mobile phone number
events_m_maxcnt_wkperoid_loan_g_60day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the credit granting events in the non-bank financial industry within the past 60 natural days in the weekly time period
events_m_maxcnt_wkperoid_loan_g_90day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the credit granting events in the non-bank financial industry within the past 90 natural days in the weekly time period
events_m_maxcnt_wkperoid_login_g_15day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the login events of mobile phone numbers in the non-bank financial industry in the past 15 natural days
events_m_maxcnt_wkperoid_login_g_180day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the login events of mobile phone numbers in the non-bank financial industry in the past 180 natural days
events_m_maxcnt_wkperoid_login_g_30day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the login events of mobile phone numbers in the non-bank financial industry in the past 30 natural days
events_m_maxcnt_wkperoid_login_g_365day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the login events of mobile phone numbers in the non-bank financial industry in the past 365 natural days
events_m_maxcnt_wkperoid_login_g_60day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the login events of mobile phone numbers in the non-bank financial industry in the past 60 natural days
events_m_maxcnt_wkperoid_login_g_90day_l1imbank_ratio	NUMBER	The proportion of the maximum number of records in the weekly time period in the login events of mobile phone numbers in the non-bank financial industry in the past 90 natural days
events_m_min_mthly_disburse_g_15day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the credit event of the non-bank financial industry within the last 15 natural numbers of the mobile phone number
events_m_min_mthly_disburse_g_180day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the credit event of the non-bank financial industry within the last 180 natural numbers of the mobile phone number
events_m_min_mthly_disburse_g_30day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the credit event of non-bank financial industry within the last 30 natural numbers of mobile phone numbers
events_m_min_mthly_disburse_g_365day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the credit incidents in the non-bank financial industry within the last 365 natural numbers of mobile phone numbers
events_m_min_mthly_disburse_g_60day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the credit incidents in the non-bank financial industry within the last 60 natural numbers of mobile phone numbers
events_m_min_mthly_disburse_g_90day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the credit incidents in the non-bank financial industry within 90 natural numbers of mobile phone numbers
events_m_min_mthly_idv_g_15day_l1imbank_count	NUMBER	Minimum number of records in a full natural month in identity authentication events in the non-bank financial industry within the last 15 natural numbers of mobile phone numbers
events_m_min_mthly_idv_g_180day_l1imbank_count	NUMBER	Minimum number of records in a full natural month in identity authentication events in the non-bank financial industry within 180 natural numbers of mobile phone numbers
events_m_min_mthly_idv_g_30day_l1imbank_count	NUMBER	Minimum number of records in a full natural month in identity authentication events in the non-bank financial industry within the last 30 natural numbers of mobile phone numbers
events_m_min_mthly_idv_g_365day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in identity authentication events in the non-bank financial industry within the last 365 natural numbers of mobile phone numbers
events_m_min_mthly_idv_g_60day_l1imbank_count	NUMBER	Minimum number of records in a full natural month in identity authentication events in the non-bank financial industry within 60 natural numbers of mobile phone numbers
events_m_min_mthly_idv_g_90day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in identity authentication events in the non-bank financial industry within 90 natural numbers of mobile phone numbers
events_m_min_mthly_loan_g_15day_l1imbank_count	NUMBER	Minimum number of records in a full calendar month in credit events in the non-bank financial industry in the past 15 days for mobile phone numbers
events_m_min_mthly_loan_g_180day_l1imbank_count	NUMBER	Minimum number of records in a complete natural month in credit events in the non-bank financial industry within the past 180 days for mobile phone numbers
events_m_min_mthly_loan_g_30day_l1imbank_count	NUMBER	Minimum number of records in a complete natural month in credit events in the non-bank financial industry within the past 30 days for mobile phone numbers
events_m_min_mthly_loan_g_365day_l1imbank_count	NUMBER	Minimum number of records in a full calendar month in credit events in the non-bank financial industry in the past 365 days for a mobile phone number
events_m_min_mthly_loan_g_60day_l1imbank_count	NUMBER	Minimum number of records in a complete natural month in credit events in the non-bank financial industry within the past 60 days for mobile phone numbers
events_m_min_mthly_loan_g_90day_l1imbank_count	NUMBER	Minimum number of records in a complete natural month in credit events in the non-bank financial industry within the past 90 days for mobile phone numbers
events_m_min_mthly_login_g_15day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the login events of the non-bank financial industry within the last 15 natural numbers of the mobile phone number
events_m_min_mthly_login_g_180day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the login events of the non-bank financial industry within the last 180 natural numbers of the mobile phone number
events_m_min_mthly_login_g_30day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the login events of the non-bank financial industry within the last 30 natural numbers of the mobile phone number
events_m_min_mthly_login_g_365day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the login events of the non-bank financial industry within the last 365 natural numbers of the mobile phone number
events_m_min_mthly_login_g_60day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the login event of the non-bank financial industry within the last 60 natural numbers of the mobile phone number
events_m_min_mthly_login_g_90day_l1imbank_count	NUMBER	The minimum number of records in a full natural month in the login event of the non-bank financial industry within 90 natural numbers of the mobile phone number
events_m_mth_disburse_g_15day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit incidents in the non-bank financial industry within the last 15 natural numbers of the mobile phone number
events_m_mth_disburse_g_180day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit incidents in non-bank financial industries within 180 natural numbers of mobile phone numbers
events_m_mth_disburse_g_30day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit incidents in the non-bank financial industry within the last 30 natural numbers of the mobile phone number
events_m_mth_disburse_g_365day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit incidents in the non-bank financial industry within the last 365 natural numbers of the mobile phone number
events_m_mth_disburse_g_60day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit incidents in the non-bank financial industry within 60 natural numbers of the mobile phone number
events_m_mth_disburse_g_90day_l1imbank_d_count	NUMBER	The number of complete natural months with records of credit incidents in non-bank financial industries within 90 natural numbers of mobile phone numbers
events_m_mth_idv_g_15day_l1imbank_d_count	NUMBER	The number of complete natural months with records of identity authentication events in the non-bank financial industry within the last 15 natural numbers of the mobile phone number
events_m_mth_idv_g_180day_l1imbank_d_count	NUMBER	The number of complete natural months with records of identity authentication events in the non-bank financial industry within 180 natural numbers of mobile phone numbers
events_m_mth_idv_g_30day_l1imbank_d_count	NUMBER	The number of complete natural months with records of identity authentication events in the non-bank financial industry within the last 30 natural numbers of the mobile phone number
events_m_mth_idv_g_365day_l1imbank_d_count	NUMBER	The number of complete natural months with records of identity authentication events in the non-bank financial industry within the last 365 natural numbers of the mobile phone number
events_m_mth_idv_g_60day_l1imbank_d_count	NUMBER	The number of complete natural months with records of identity authentication events in the non-bank financial industry within 60 natural numbers of mobile phone numbers
events_m_mth_idv_g_90day_l1imbank_d_count	NUMBER	The number of complete natural months with records of identity authentication events in the non-bank financial industry within 90 natural numbers of mobile phone numbers
events_m_mth_loan_g_15day_l1imbank_d_count	NUMBER	The number of complete natural months in which the mobile phone number has been recorded in credit events in the non-bank financial industry in the past 15 days
events_m_mth_loan_g_180day_l1imbank_d_count	NUMBER	The number of complete natural months in which the mobile phone number has been recorded in credit events in the non-bank financial industry in the past 180 days
events_m_mth_loan_g_30day_l1imbank_d_count	NUMBER	The number of complete natural months in which the mobile phone number has been recorded in credit events in the non-bank financial industry in the past 30 days
events_m_mth_loan_g_365day_l1imbank_d_count	NUMBER	The number of complete natural months in which the mobile phone number has been recorded in credit events in the non-bank financial industry in the past 365 days
events_m_mth_loan_g_60day_l1imbank_d_count	NUMBER	The number of complete natural months in which the mobile phone number has been recorded in credit events in the non-bank financial industry in the past 60 days
events_m_mth_loan_g_90day_l1imbank_d_count	NUMBER	The number of complete natural months in which the mobile phone number has been recorded in credit events in the non-bank financial industry in the past 90 days
events_m_mth_login_g_15day_l1imbank_d_count	NUMBER	The number of complete natural months with records of login events in the non-bank financial industry within the last 15 natural numbers of the mobile phone number
events_m_mth_login_g_180day_l1imbank_d_count	NUMBER	The number of complete natural months with records of login events in the non-bank financial industry within the last 180 natural numbers of the mobile phone number
events_m_mth_login_g_30day_l1imbank_d_count	NUMBER	Number of complete natural months with records of login events in the non-bank financial industry within the last 30 natural numbers of the mobile phone number
events_m_mth_login_g_365day_l1imbank_d_count	NUMBER	The number of complete natural months with records of login events in the non-bank financial industry within the last 365 natural numbers of the mobile phone number
events_m_mth_login_g_60day_l1imbank_d_count	NUMBER	Number of complete natural months with records of login events in the non-bank financial industry within 60 natural numbers of mobile phone numbers
events_m_mth_login_g_90day_l1imbank_d_count	NUMBER	Number of complete natural months with records of login events in the non-bank financial industry within 90 natural numbers of mobile phone numbers
events_m_partner_all_g_15day_avg	NUMBER	Average number of different platforms per day in all events in the industry for mobile phone numbers in the past 15 natural days
events_m_partner_all_g_15day_d_count	NUMBER	The number of different platforms in all events in all industries within 15 natural days associated with the mobile phone number
events_m_partner_all_g_180day_avg	NUMBER	Average number of different platforms per day in all events in the industry for mobile phone numbers in the past 180 natural days
events_m_partner_all_g_180day_d_count	NUMBER	The number of different platforms in all events in all industries within 180 natural days associated with the mobile phone number
events_m_partner_all_g_30day_avg	NUMBER	Average number of different platforms per day in all events in the industry for mobile phone numbers in the past 30 natural days
events_m_partner_all_g_30day_d_count	NUMBER	The number of different platforms in all events in all industries within 30 natural days associated with the mobile phone number
events_m_partner_all_g_365day_avg	NUMBER	Average number of different platforms per day in all events in the industry for mobile phone numbers in the past 365 natural days
events_m_partner_all_g_365day_d_count	NUMBER	The number of different platforms in all events in all industries within 365 natural days associated with the mobile phone number
events_m_partner_all_g_60day_avg	NUMBER	Average number of different platforms per day in all events in the industry for mobile phone numbers in the past 60 natural days
events_m_partner_all_g_60day_d_count	NUMBER	The number of different platforms in all events in all industries within 60 natural days associated with the mobile phone number
events_m_partner_all_g_90day_avg	NUMBER	Average number of different platforms per day in all events in the industry for mobile phone numbers in the past 90 natural days
events_m_partner_all_g_90day_d_count	NUMBER	The number of different platforms in all events in all industries within 90 natural days associated with the mobile phone number
events_m_partner_disburse_g_15day_d_count	NUMBER	The number of different platforms in all industries in which the mobile phone number is associated with credit events within 15 natural days
events_m_partner_disburse_g_15day_l1imbank_d_count	NUMBER	Number of different platforms in the non-bank financial industry credit events associated with the mobile phone number within 15 natural days
events_m_partner_disburse_g_15day_ratio	NUMBER	The proportion of different platforms in the industry's credit events for mobile phone numbers in the past 15 natural days to the total number of different platforms in the corresponding period
events_m_partner_disburse_g_180day_d_count	NUMBER	The number of different platforms in all industries in which the mobile phone number is associated with credit events within 180 natural days
events_m_partner_disburse_g_180day_l1imbank_d_count	NUMBER	Number of different platforms in the non-bank financial industry credit events associated with the mobile phone number within 180 natural days
events_m_partner_disburse_g_180day_ratio	NUMBER	The proportion of different platforms in the industry's credit events for mobile phone numbers in the past 180 natural days to the total number of different platforms in the corresponding period
events_m_partner_disburse_g_30day_d_count	NUMBER	The number of different platforms in all industries in which the mobile phone number is associated with credit events within 30 natural days
events_m_partner_disburse_g_30day_l1imbank_d_count	NUMBER	Number of different platforms in the non-bank financial industry credit events associated with the mobile phone number within 30 natural days
events_m_partner_disburse_g_30day_ratio	NUMBER	The proportion of different platforms in the industry's credit events for mobile phone numbers in the past 30 natural days to the total number of different platforms in the corresponding period
events_m_partner_disburse_g_30to180cd_d_count	NUMBER	The number of different platforms in all industries in which the mobile phone number is associated with credit events within 30 to 180 natural days
events_m_partner_disburse_g_30to365cd_d_count	NUMBER	The number of different platforms in all industries in which the mobile phone number is associated with credit events within 30 to 365 natural days
events_m_partner_disburse_g_30to60cd_d_count	NUMBER	The number of different platforms in all industries in which the mobile phone number is associated with credit events within 30 to 60 natural days
events_m_partner_disburse_g_30to90cd_d_count	NUMBER	The number of different platforms in all industries in which the mobile phone number is associated with credit events within 30 to 90 natural days
events_m_partner_disburse_g_365day_d_count	NUMBER	The number of different platforms in the credit events of all industries associated with the mobile phone number within 365 natural days
events_m_partner_disburse_g_365day_l1imbank_d_count	NUMBER	Number of different platforms in the non-bank financial industry credit events associated with the mobile phone number within 365 natural days
events_m_partner_disburse_g_365day_ratio	NUMBER	The proportion of different platforms in the credit events of mobile phone numbers in the industry in the past 365 natural days to the total number of different platforms in the corresponding period
events_m_partner_disburse_g_60day_d_count	NUMBER	The number of different platforms in all industries in which the mobile phone number is associated with credit events within 60 natural days
events_m_partner_disburse_g_60day_l1imbank_d_count	NUMBER	Number of different platforms in the non-bank financial industry credit events associated with the mobile phone number within 60 natural days
events_m_partner_disburse_g_60day_ratio	NUMBER	The proportion of different platforms in the industry's credit events for mobile phone numbers in the past 60 natural days to the total number of different platforms in the corresponding period
events_m_partner_disburse_g_90day_d_count	NUMBER	The number of different platforms in all industries in which the mobile phone number is associated with credit events within 90 natural days
events_m_partner_disburse_g_90day_l1imbank_d_count	NUMBER	Number of different platforms in the non-bank financial industry credit events associated with the mobile phone number within 90 natural days
events_m_partner_disburse_g_90day_ratio	NUMBER	The proportion of different platforms in the industry's credit events for mobile phone numbers in the past 90 natural days to the total number of different platforms in the corresponding period
events_m_partner_idv_g_15day_d_count	NUMBER	The number of different platforms in identity authentication events in all industries within 15 natural days associated with the mobile phone number
events_m_partner_idv_g_15day_l1imbank_d_count	NUMBER	Number of different platforms in identity authentication events in the non-bank financial industry associated with the mobile phone number within 15 natural days
events_m_partner_idv_g_15day_ratio	NUMBER	The proportion of different platforms in the industry's identity authentication events for mobile phone numbers in the past 15 natural days to the total number of different platforms in the corresponding period
events_m_partner_idv_g_180day_d_count	NUMBER	The number of different platforms in identity authentication events in all industries within 180 natural days associated with the mobile phone number
events_m_partner_idv_g_180day_l1imbank_d_count	NUMBER	Number of different platforms in identity authentication events in the non-bank financial industry associated with mobile phone numbers within 180 natural days
events_m_partner_idv_g_180day_ratio	NUMBER	The proportion of different platforms in the industry's identity authentication events for mobile phone numbers in the past 180 natural days to the total number of different platforms in the corresponding period
events_m_partner_idv_g_30day_d_count	NUMBER	The number of different platforms in identity authentication events in all industries within 30 natural days associated with the mobile phone number
events_m_partner_idv_g_30day_l1imbank_d_count	NUMBER	Number of different platforms in identity authentication events in the non-bank financial industry associated with the mobile phone number within 30 natural days
events_m_partner_idv_g_30day_ratio	NUMBER	The proportion of different platforms in the industry's identity authentication events for mobile phone numbers in the past 30 natural days to the total number of different platforms in the corresponding period
events_m_partner_idv_g_30to180cd_d_count	NUMBER	The number of different platforms in identity authentication events in all industries associated with the mobile phone number within 30 to 180 natural days
events_m_partner_idv_g_30to365cd_d_count	NUMBER	The number of different platforms in identity authentication events in all industries associated with the mobile phone number within 30 to 365 natural days
events_m_partner_idv_g_30to60cd_d_count	NUMBER	The number of different platforms in identity authentication events in all industries associated with the mobile phone number within 30 to 60 natural days
events_m_partner_idv_g_30to90cd_d_count	NUMBER	The number of different platforms in identity authentication events in all industries associated with the mobile phone number within 30 to 90 natural days
events_m_partner_idv_g_365day_d_count	NUMBER	The number of different platforms in identity authentication events in all industries associated with the mobile phone number within 365 natural days
events_m_partner_idv_g_365day_l1imbank_d_count	NUMBER	Number of different platforms in identity authentication events in the non-bank financial industry associated with the mobile phone number within 365 natural days
events_m_partner_idv_g_365day_ratio	NUMBER	The proportion of different platforms in the industry's identity authentication events for mobile phone numbers in the past 365 natural days to the total number of different platforms in the corresponding period
events_m_partner_idv_g_60day_d_count	NUMBER	The number of different platforms in identity authentication events in all industries associated with the mobile phone number within 60 natural days
events_m_partner_idv_g_60day_l1imbank_d_count	NUMBER	Number of different platforms in identity authentication events in the non-bank financial industry within 60 natural days associated with the mobile phone number
events_m_partner_idv_g_60day_ratio	NUMBER	The proportion of different platforms in the industry's identity authentication events for mobile phone numbers in the past 60 natural days to the total number of different platforms in the corresponding period
events_m_partner_idv_g_90day_d_count	NUMBER	The number of different platforms in identity authentication events in all industries associated with the mobile phone number within 90 natural days
events_m_partner_idv_g_90day_l1imbank_d_count	NUMBER	Number of different platforms in identity authentication events in the non-bank financial industry associated with the mobile phone number within 90 natural days
events_m_partner_idv_g_90day_ratio	NUMBER	The proportion of different platforms in the industry's identity authentication events for mobile phone numbers in the past 90 natural days to the total number of different platforms in the corresponding period
events_m_partner_loan_g_15day_d_count	NUMBER	The number of different platforms in the credit granting events in all industries within 15 natural days associated with the mobile phone number
events_m_partner_loan_g_15day_l1imbank_d_count	NUMBER	Number of different platforms in the credit granting event in the non-bank financial industry within 15 natural days associated with the mobile phone number
events_m_partner_loan_g_15day_ratio	NUMBER	The proportion of different platforms in the credit granting events of mobile phone numbers in the industry within the past 15 natural days to the total number of different platforms in the corresponding period
events_m_partner_loan_g_180day_d_count	NUMBER	The number of different platforms in the credit granting events in all industries within 180 natural days associated with the mobile phone number
events_m_partner_loan_g_180day_l1imbank_d_count	NUMBER	Number of different platforms in the credit granting events in the non-bank financial industry within 180 natural days associated with the mobile phone number
events_m_partner_loan_g_180day_ratio	NUMBER	The proportion of different platforms in the credit granting events of mobile phone numbers in the past 180 natural days in the industry to the total number of different platforms in the corresponding period
events_m_partner_loan_g_30day_d_count	NUMBER	The number of different platforms in the credit granting events in all industries within 30 natural days associated with the mobile phone number
events_m_partner_loan_g_30day_l1imbank_d_count	NUMBER	Number of different platforms in the credit granting event in the non-bank financial industry within 30 natural days associated with the mobile phone number
events_m_partner_loan_g_30day_ratio	NUMBER	The proportion of different platforms in the credit granting events of mobile phone numbers in the industry within the past 30 natural days to the total number of different platforms in the corresponding period
events_m_partner_loan_g_30to180cd_d_count	NUMBER	The number of different platforms in the credit granting events in all industries within 30 to 180 natural days associated with the mobile phone number
events_m_partner_loan_g_30to365cd_d_count	NUMBER	The number of different platforms in the credit granting events in all industries associated with the mobile phone number within 30 to 365 natural days
events_m_partner_loan_g_30to60cd_d_count	NUMBER	The number of different platforms in the credit granting events in all industries within 30 to 60 natural days associated with the mobile phone number
events_m_partner_loan_g_30to90cd_d_count	NUMBER	The number of different platforms in the credit granting events in all industries within 30 to 90 natural days associated with the mobile phone number
events_m_partner_loan_g_365day_d_count	NUMBER	The number of different platforms in the credit granting events of all industries within 365 natural days associated with the mobile phone number
events_m_partner_loan_g_365day_l1imbank_d_count	NUMBER	Number of different platforms in the credit granting events in the non-bank financial industry within 365 natural days associated with the mobile phone number
events_m_partner_loan_g_365day_ratio	NUMBER	The proportion of different platforms in the credit granting events of mobile phone numbers in the industry in the past 365 natural days to the total number of different platforms in the corresponding period
events_m_partner_loan_g_60day_d_count	NUMBER	The number of different platforms in the credit granting events in all industries within 60 natural days associated with the mobile phone number
events_m_partner_loan_g_60day_l1imbank_d_count	NUMBER	Number of different platforms in the credit granting events in the non-bank financial industry within 60 natural days associated with the mobile phone number
events_m_partner_loan_g_60day_ratio	NUMBER	The proportion of different platforms in the credit granting events of mobile phone numbers in the industry within the past 60 natural days to the total number of different platforms in the corresponding period
events_m_partner_loan_g_90day_d_count	NUMBER	The number of different platforms in the credit granting events in all industries within 90 natural days associated with the mobile phone number
events_m_partner_loan_g_90day_l1imbank_d_count	NUMBER	Number of different platforms in the credit granting events in the non-bank financial industry within 90 natural days associated with the mobile phone number
events_m_partner_loan_g_90day_ratio	NUMBER	The proportion of different platforms in the credit granting events of mobile phone numbers in the industry within the past 90 natural days to the total number of different platforms in the corresponding period
events_m_partner_login_g_15day_d_count	NUMBER	Number of different platforms in login events in all industries associated with the mobile phone number within 15 natural days
events_m_partner_login_g_15day_l1imbank_d_count	NUMBER	Number of different platforms in the non-bank financial industry login events associated with the mobile phone number within 15 natural days
events_m_partner_login_g_15day_ratio	NUMBER	The ratio of the number of different platforms in the login events of mobile phone numbers in the whole industry in the past 15 natural days to the number of different platforms in the corresponding time
events_m_partner_login_g_180day_d_count	NUMBER	The number of different platforms in the login events of all industries associated with the mobile phone number within 180 natural days
events_m_partner_login_g_180day_l1imbank_d_count	NUMBER	Number of different platforms in the login events of the non-bank financial industry associated with the mobile phone number within 180 natural days
events_m_partner_login_g_180day_ratio	NUMBER	The ratio of the number of different platforms in the login events of mobile phone numbers in the whole industry in the past 180 natural days to the number of different platforms in the corresponding period
events_m_partner_login_g_30day_d_count	NUMBER	The number of different platforms in the login events of all industries associated with the mobile phone number within 30 natural days
events_m_partner_login_g_30day_l1imbank_d_count	NUMBER	Number of different platforms in the non-bank financial industry login events associated with the mobile phone number within 30 natural days
events_m_partner_login_g_30day_ratio	NUMBER	The ratio of the number of different platforms in the login events of mobile phone numbers in the whole industry in the past 30 natural days to the number of different platforms in the corresponding period
events_m_partner_login_g_30to180cd_d_count	NUMBER	The number of different platforms in the login events of all industries associated with the mobile phone number within 30 to 180 natural days
events_m_partner_login_g_30to365cd_d_count	NUMBER	The number of different platforms in the login events of all industries associated with the mobile phone number within 30 to 365 natural days
events_m_partner_login_g_30to60cd_d_count	NUMBER	The number of different platforms in the login events of all industries associated with the mobile phone number within 30 to 60 natural days
events_m_partner_login_g_30to90cd_d_count	NUMBER	The number of different platforms in the login events of all industries associated with the mobile phone number within 30 to 90 natural days
events_m_partner_login_g_365day_d_count	NUMBER	Number of different platforms in login events in all industries associated with the mobile phone number within 365 natural days
events_m_partner_login_g_365day_l1imbank_d_count	NUMBER	Number of different platforms in the login events of the non-bank financial industry associated with the mobile phone number within 365 natural days
events_m_partner_login_g_365day_ratio	NUMBER	The ratio of the number of different platforms in the login events of mobile phone numbers in the whole industry in the past 365 natural days to the number of different platforms in the corresponding period
events_m_partner_login_g_60day_d_count	NUMBER	The number of different platforms in the login events of all industries associated with the mobile phone number within 60 natural days
events_m_partner_login_g_60day_l1imbank_d_count	NUMBER	Number of different platforms in the non-bank financial industry login events associated with the mobile phone number within 60 natural days
events_m_partner_login_g_60day_ratio	NUMBER	The ratio of the number of different platforms in the login events of mobile phone numbers in the whole industry in the past 60 natural days to the number of different platforms in the corresponding period
events_m_partner_login_g_90day_d_count	NUMBER	The number of different platforms in the login events of all industries associated with the mobile phone number within 90 natural days
events_m_partner_login_g_90day_l1imbank_d_count	NUMBER	Number of different platforms in the non-bank financial industry login events associated with the mobile phone number within 90 natural days
events_m_partner_login_g_90day_ratio	NUMBER	The proportion of different platforms in the login events of mobile phone numbers in the whole industry in the past 90 natural days to the total number of different platforms in the corresponding period
events_m_partner_register_g_15day_d_count	NUMBER	The number of different platforms in the industry-wide registration events associated with the mobile phone number within 15 natural days
events_m_partner_register_g_15day_ratio	NUMBER	The ratio of the number of different platforms in the registration events of mobile phone numbers in the whole industry in the past 15 natural days to the number of different platforms in the corresponding time
events_m_partner_register_g_180day_d_count	NUMBER	Number of different platforms in the industry-wide registration events associated with the mobile phone number within 180 natural days
events_m_partner_register_g_180day_ratio	NUMBER	The ratio of the number of different platforms in the registration events of mobile phone numbers in the whole industry within the past 180 natural days to the number of different platforms in the corresponding period
events_m_partner_register_g_30day_d_count	NUMBER	The number of different platforms in the industry-wide registration events associated with the mobile phone number within 30 natural days
events_m_partner_register_g_30day_ratio	NUMBER	The ratio of the number of different platforms in the registration events of mobile phone numbers in the whole industry within the past 30 natural days to the number of different platforms in the corresponding period
events_m_partner_register_g_365day_d_count	NUMBER	Number of different platforms in the registration events of all industries within 365 natural days associated with the mobile phone number
events_m_partner_register_g_365day_ratio	NUMBER	The ratio of the number of different platforms in the registration events of mobile phone numbers in the whole industry in the past 365 natural days to the number of different platforms in the corresponding period
events_m_partner_register_g_60day_d_count	NUMBER	The number of different platforms in the industry-wide registration events associated with the mobile phone number within 60 natural days
events_m_partner_register_g_60day_ratio	NUMBER	The ratio of the number of different platforms in the registration events of mobile phone numbers in the whole industry within the past 60 natural days to the number of different platforms in the corresponding period
events_m_partner_register_g_90day_d_count	NUMBER	The number of different platforms in the industry-wide registration events associated with the mobile phone number within 90 natural days
events_m_partner_register_g_90day_ratio	NUMBER	The ratio of the number of different platforms in the registration events of mobile phone numbers in the whole industry within the past 90 natural days to the number of different platforms in the corresponding period
events_m_reject_all_g_15day_ratio	NUMBER	The percentage of records with a rejection decision result in all industries and all events in the past 15 natural days for mobile phone numbers
events_m_reject_all_g_180day_ratio	NUMBER	The percentage of records with a rejection decision result in all industries and all events in the past 180 natural days for mobile phone numbers
events_m_reject_all_g_30day_ratio	NUMBER	The percentage of records with a rejection decision result in all industries and all events within the past 30 natural days for mobile phone numbers
events_m_reject_all_g_365day_ratio	NUMBER	The percentage of records with a decision result of reject in all industries and all events in the past 365 natural days for mobile phone numbers
events_m_reject_all_g_60day_ratio	NUMBER	The percentage of records with a rejection decision result in all industries and all events within the past 60 natural days
events_m_reject_all_g_90day_ratio	NUMBER	The percentage of records with a rejection decision result in all industries and all events within the past 90 natural days for mobile phone numbers
events_m_review_all_g_15day_ratio	NUMBER	The percentage of records with the decision result of review in all industries and all events in the past 15 natural days by mobile phone number
events_m_review_all_g_180day_ratio	NUMBER	The percentage of records with the decision result of review in all industries and all events in the past 180 natural days by mobile phone number
events_m_review_all_g_30day_ratio	NUMBER	The percentage of records with the decision result of review in all industries and all events in the past 30 natural days by mobile phone number
events_m_review_all_g_365day_ratio	NUMBER	The percentage of records with the decision result of review in all industries and all events in the past 365 natural days by mobile phone number
events_m_review_all_g_60day_ratio	NUMBER	The percentage of records with the decision result of review in all industries and all events in the past 60 natural days by mobile phone number
events_m_review_all_g_90day_ratio	NUMBER	The percentage of records with the decision result of review in all industries and all events in the past 90 natural days by mobile phone number
events_m_runningdangerapps_all_g_30day_d_count	NUMBER	The number of deduplicated risk tags of risky equipment associated with mobile phone numbers in the past 30 natural days
events_m_runningdangerapps_all_g_7day_d_count	NUMBER	The number of deduplicated risk labels of mobile phone numbers with risky devices in the past 7 natural days
events_m_std_10day_partner_all_g_180day_d_count	NUMBER	The standard deviation of the number of different platforms for all events in the industry within 180 natural days associated with the mobile phone number every 10 days
events_m_std_10day_partner_all_g_30day_d_count	NUMBER	The standard deviation of the number of different platforms every 10 days for all events in the industry within 30 natural days associated with the mobile phone number
events_m_std_10day_partner_all_g_365day_d_count	NUMBER	The standard deviation of the number of different platforms for all events in the industry within 365 natural days associated with the mobile phone number every 10 days
events_m_std_10day_partner_all_g_60day_d_count	NUMBER	The standard deviation of the number of different platforms every 10 days for all events in the industry within 60 natural days associated with the mobile phone number
events_m_std_10day_partner_all_g_90day_d_count	NUMBER	The standard deviation of the number of different platforms every 10 days for all events in the industry within 90 natural days associated with the mobile phone number
events_m_timediff_all_g_15day	NUMBER	The maximum time interval of all records of all events in all industries in the last 15 natural days for a mobile phone number
events_m_timediff_all_g_15day_avg	NUMBER	The average duration of all records in all events in the industry for the mobile phone number in the past 15 natural days (the maximum interval time of all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_all_g_15day_l1imbank	NUMBER	The maximum time interval of all records of all events in the non-bank financial industry in the last 15 natural days for a mobile phone number
events_m_timediff_all_g_15day_l1imbank_avg	NUMBER	The average duration of all records of all events in the non-bank financial industry in the past 15 natural days for the mobile phone number (the maximum interval time of all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_all_g_180day	NUMBER	The maximum time interval of all records of all events in all industries in the last 180 natural days for a mobile phone number
events_m_timediff_all_g_180day_avg	NUMBER	The average duration of all records in all events in the industry within the past 180 natural days for the mobile phone number (the maximum interval time of all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_all_g_180day_l1imbank	NUMBER	The maximum time interval of all records of all events in the non-bank financial industry in the last 180 natural days for a mobile phone number
events_m_timediff_all_g_180day_l1imbank_avg	NUMBER	The average duration of all records of all events in the non-bank financial industry in the past 180 natural days for the mobile phone number (the maximum interval time of all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_all_g_30day	NUMBER	The maximum time interval of all records of all events in all industries in the last 30 natural days for a mobile phone number
events_m_timediff_all_g_30day_avg	NUMBER	The average duration of all records in all events in the industry for the mobile phone number in the past 30 natural days (the maximum interval time of all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_all_g_30day_l1imbank	NUMBER	The maximum time interval of all records of all events in the non-bank financial industry in the last 30 natural days for a mobile phone number
events_m_timediff_all_g_30day_l1imbank_avg	NUMBER	The average duration of all records of all events in the non-bank financial industry in the past 30 natural days for the mobile phone number (the maximum interval time of all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_all_g_365day	NUMBER	The maximum time interval of all records of all events in all industries in the last 365 natural days for a mobile phone number
events_m_timediff_all_g_365day_avg	NUMBER	The average duration of all records in all events in the industry for the mobile phone number in the past 365 natural days (the maximum interval time of all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_all_g_365day_l1imbank	NUMBER	The maximum time interval of all records of all events in the non-bank financial industry in the last 365 natural days for a mobile phone number
events_m_timediff_all_g_365day_l1imbank_avg	NUMBER	The average duration of all records of all events in the non-bank financial industry in the past 365 natural days for the mobile phone number (the maximum interval time of all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_all_g_60day	NUMBER	The maximum time interval of all records of all events in all industries in the last 60 natural days for a mobile phone number
events_m_timediff_all_g_60day_avg	NUMBER	The average duration of all records in all events in the industry for the mobile phone number in the past 60 natural days (the maximum interval time of all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_all_g_60day_l1imbank	NUMBER	The maximum time interval of all records of all events in the non-bank financial industry in the last 60 natural days for a mobile phone number
events_m_timediff_all_g_60day_l1imbank_avg	NUMBER	The average duration of all records of all events in the non-bank financial industry in the past 60 natural days for the mobile phone number (the maximum interval time of all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_all_g_90day	NUMBER	The maximum time interval of all records of all events in all industries in the last 90 natural days for a mobile phone number
events_m_timediff_all_g_90day_avg	NUMBER	The average duration of all records in all events in the industry for the mobile phone number in the past 90 natural days (the maximum interval time of all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_all_g_90day_l1imbank	NUMBER	The maximum time interval of all records of all events in the non-bank financial industry in the last 90 natural days for a mobile phone number
events_m_timediff_all_g_90day_l1imbank_avg	NUMBER	The average duration of all records of all events in the non-bank financial industry in the past 90 natural days for the mobile phone number (the maximum interval time of all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_disburse_g_15day	NUMBER	The maximum time interval of all records of letter events in all industries in the last 15 natural days for a mobile phone number
events_m_timediff_disburse_g_15day_avg	NUMBER	The average time interval between all records of credit card usage events in all industries in the past 15 natural days for a mobile phone number (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_disburse_g_180day	NUMBER	The maximum time interval of all records of letter events in all industries in the last 180 natural days for a mobile phone number
events_m_timediff_disburse_g_180day_avg	NUMBER	The average time interval between all records of credit card usage events in all industries for the last 180 natural days for a mobile phone number (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_disburse_g_30day	NUMBER	The maximum time interval between all records of phone number usage events in all industries in the last 30 natural days
events_m_timediff_disburse_g_30day_avg	NUMBER	The average time interval between all records of credit card usage events in all industries in the past 30 natural days for a mobile phone number (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_disburse_g_365day	NUMBER	The maximum time interval of all records of letter events in all industries in the last 365 natural days for a mobile phone number
events_m_timediff_disburse_g_365day_avg	NUMBER	The average time interval between all records of credit card usage events in all industries in the past 365 natural days for mobile phone numbers (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_disburse_g_60day	NUMBER	The maximum time interval of all records of phone number usage events in all industries in the last 60 natural days
events_m_timediff_disburse_g_60day_avg	NUMBER	The average time interval between all records of credit card usage events in all industries for the mobile phone number in the past 60 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_disburse_g_90day	NUMBER	The maximum time interval of all records of phone number usage events in all industries in the last 90 natural days
events_m_timediff_disburse_g_90day_avg	NUMBER	The average time interval between all records of credit card usage events in all industries for the mobile phone number in the past 90 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_idv_g_15day	NUMBER	The maximum time interval of all records of identity authentication events in all industries in the last 15 natural days for a mobile phone number
events_m_timediff_idv_g_15day_avg	NUMBER	The average time interval between all records of identity authentication events in all industries in the past 15 natural days for mobile phone numbers (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_idv_g_180day	NUMBER	The maximum time interval of all records of identity authentication events in all industries in the last 180 natural days for a mobile phone number
events_m_timediff_idv_g_180day_avg	NUMBER	The average time interval between all records of identity authentication events in all industries for the past 180 natural days for mobile phone numbers (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_idv_g_30day	NUMBER	The maximum time interval of all records of identity authentication events in all industries in the last 30 natural days for a mobile phone number
events_m_timediff_idv_g_30day_avg	NUMBER	The average time interval between all records of identity authentication events in all industries in the past 30 natural days for mobile phone numbers (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_idv_g_365day	NUMBER	The maximum time interval of all records of identity authentication events in all industries in the last 365 natural days for a mobile phone number
events_m_timediff_idv_g_365day_avg	NUMBER	The average time interval between all records of identity authentication events in all industries in the past 365 natural days for mobile phone numbers (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_idv_g_60day	NUMBER	The maximum time interval of all records of identity authentication events in all industries in the last 60 natural days for a mobile phone number
events_m_timediff_idv_g_60day_avg	NUMBER	The average time interval between all records of identity authentication events in all industries for the past 60 natural days for mobile phone numbers (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_idv_g_90day	NUMBER	The maximum time interval of all records of identity authentication events in all industries in the last 90 natural days for a mobile phone number
events_m_timediff_idv_g_90day_avg	NUMBER	The average time interval between all records of identity authentication events in all industries for the past 90 natural days for mobile phone numbers (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_loan_g_15day	NUMBER	The maximum time interval of all records of credit events in all industries in the last 15 natural days for a mobile phone number
events_m_timediff_loan_g_15day_avg	NUMBER	The average time interval between all records of credit events in all industries in the last 15 natural days for a mobile phone number (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_loan_g_180day	NUMBER	The maximum time interval of all records of credit events in all industries in the last 180 natural days for a mobile phone number
events_m_timediff_loan_g_180day_avg	NUMBER	The average time interval between all records of credit events in all industries in the last 180 natural days for mobile phone numbers (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_loan_g_30day	NUMBER	The maximum time interval of all records of credit events in all industries in the last 30 natural days for a mobile phone number
events_m_timediff_loan_g_30day_avg	NUMBER	The average time interval between all records of credit events in all industries in the last 30 natural days for mobile phone numbers (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_loan_g_365day	NUMBER	The maximum time interval of all records of credit events in all industries in the last 365 natural days for a mobile phone number
events_m_timediff_loan_g_365day_avg	NUMBER	The average time interval between all records of credit events in all industries in the last 365 natural days for a mobile phone number (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_loan_g_60day	NUMBER	The maximum time interval of all records of credit events in all industries in the last 60 natural days for a mobile phone number
events_m_timediff_loan_g_60day_avg	NUMBER	The average time interval between all records of credit events in all industries in the last 60 natural days for mobile phone numbers (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_loan_g_90day	NUMBER	The maximum time interval of all records of credit events in all industries in the last 90 natural days for a mobile phone number
events_m_timediff_loan_g_90day_avg	NUMBER	The average time interval between all records of credit events in all industries in the last 90 natural days for mobile phone numbers (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_login_g_15day	NUMBER	The maximum time interval of all records of login events in all industries in the last 15 natural days by mobile phone number
events_m_timediff_login_g_15day_avg	NUMBER	The average time interval between all records of login events in all industries in the past 15 natural days for mobile phone numbers (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_login_g_180day	NUMBER	The maximum time interval of all records of login events in all industries in the last 180 natural days by mobile phone number
events_m_timediff_login_g_180day_avg	NUMBER	The average time interval between all records of login events in all industries in the past 180 natural days for mobile phone numbers (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_login_g_30day	NUMBER	The maximum time interval of all records of login events in all industries in the last 30 natural days by mobile phone number
events_m_timediff_login_g_30day_avg	NUMBER	The average time interval between all records of login events in all industries in the past 30 natural days for mobile phone numbers (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_login_g_365day	NUMBER	The maximum time interval of all records of login events in all industries in the last 365 natural days by mobile phone number
events_m_timediff_login_g_365day_avg	NUMBER	The average time interval between all records of login events in all industries in the past 365 natural days (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_login_g_60day	NUMBER	The maximum time interval of all records of login events in all industries in the last 60 natural days by mobile phone number
events_m_timediff_login_g_60day_avg	NUMBER	The average time interval between all records of login events in all industries in the past 60 natural days for mobile phone numbers (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)
events_m_timediff_login_g_90day	NUMBER	The maximum time interval of all records of login events in all industries in the last 90 natural days by mobile phone number
events_m_timediff_login_g_90day_avg	NUMBER	The average time interval between all records of login events in all industries in the past 90 natural days for mobile phone numbers (the maximum time interval between all records in the corresponding period divided by the number of records minus 1)