Baselight

Credit Card Transactions Synthetic Data Generation

Generating Realistic Simulated Data for Credit Card Transactions Analysis

@kaggle.cgrodrigues_credit_card_transactions_synthetic_data_generation

Customer Profiles Table
@kaggle.cgrodrigues_credit_card_transactions_synthetic_data_generation.customer_profiles_table

  • 342.72 KB
  • 5000 rows
  • 10 columns
customer_id

Customer Id

mean_amount

Mean Amount

std_amount

Std Amount

mean_nb_tx_per_day

Mean Nb Tx Per Day

network_id

Network Id

bin

Bin

lat_customer

Lat Customer

log_customer

Log Customer

available_terminals

Available Terminals

nb_terminals

Nb Terminals

C0000100073.3223013984418536.6611506992209261.5963670657837707A37560139.17647.4727['T001057', 'T001055', 'T001088']3
C0000100152.4365491296456826.218274564822843.823198622320071M55788840.16187.8099['T001081', 'T001026', 'T001084', 'T001005', 'T001023', 'T001054', 'T001040', 'T001085', 'T001017']9
C0000100242.73666618193869521.3683330909693470.318204378834606M52062941.71347.8095['T001025', 'T001060', 'T001036', 'T001020', 'T001035', 'T001044']6
C0000100388.7450621326556244.372531066327810.145825766394045V40910237.09958.241['T001031', 'T001046']2
C0000100466.213598554383233.10679927719160.1199846662355845A37561741.94958.6954['T001091', 'T001014', 'T001071']3
C0000100564.6368151159488232.318407557974413.403780807778767D36434139.97299.2704['T001077', 'T001007', 'T001072', 'T001061', 'T001073']5
C0000100613.3591842991725846.6795921495862923.268634468467789V42180238.61618.6347['T001087', 'T001037', 'T001043', 'T001027', 'T001058', 'T001098', 'T001080']7
C0000100743.4868013728688521.7434006864344232.948533449700961A37568642.1467.7488['T001025']1
C0000100853.92402160767609626.9620108038380483.944328052850312D36434237.82859.2481['T001002', 'T001086', 'T001047', 'T001038', 'T001048', 'T001018', 'T001097', 'T001096', 'T001039']9
C0000100937.7485112995868518.8742556497934222.097005500262181D36184238.86747.7084['T001057', 'T001051', 'T001055', 'T001088', 'T001000']5

CREATE TABLE customer_profiles_table (
  "customer_id" VARCHAR,
  "mean_amount" DOUBLE,
  "std_amount" DOUBLE,
  "mean_nb_tx_per_day" DOUBLE,
  "network_id" VARCHAR,
  "bin" BIGINT,
  "lat_customer" DOUBLE,
  "log_customer" DOUBLE,
  "available_terminals" VARCHAR,
  "nb_terminals" BIGINT
);

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