Baselight

Credit Card Fraud Data

Binary dataset of Credit Card Fraud

@kaggle.neharoychoudhury_credit_card_fraud_data

Fraud Data
@kaggle.neharoychoudhury_credit_card_fraud_data.fraud_data

  • 1.03 MB
  • 14446 rows
  • 15 columns
trans_date_trans_time

Trans Date Trans Time

merchant

Merchant

category

Category

amt

Amt

city

City

state

State

lat

Lat

long

Long

city_pop

City Pop

job

Job

dob

Dob

trans_num

Trans Num

merch_lat

Merch Lat

merch_long

Merch Long

is_fraud

Is Fraud

04-01-2019 00:58"Stokes, Christiansen and Sipes"grocery_net14.37WalesAK64.7556-165.6723145"Administrator, education"09-11-1939a3806e984cec6ac0096d8184c64ad3a165.654142-164.7226031
04-01-2019 15:06Predovic Incshopping_net966.11WalesAK64.7556-165.6723145"Administrator, education"09-11-1939a59185fe1b9ccf21323f581d7477573f65.468863-165.4731271
04-01-2019 22:37Wisozk and Sonsmisc_pos49.61WalesAK64.7556-165.6723145"Administrator, education"09-11-193986ba3a888b42cd3925881fa34177b4e065.347667-165.9145421
04-01-2019 23:06Murray-Smithamgrocery_pos295.26WalesAK64.7556-165.6723145"Administrator, education"09-11-19393a068fe1d856f0ecedbed33e4b5f449664.445035-166.0802071
04-01-2019 23:59Friesen Lthealth_fitness18.17WalesAK64.7556-165.6723145"Administrator, education"09-11-1939891cdd1191028759dc20dc224347a0ff65.447094-165.4468431
05-01-2019 03:15"Raynor, Reinger and Hagenes"gas_transport20.45WalesAK64.7556-165.6723145"Administrator, education"09-11-1939ef010a5f4f570d306a050a368ee2729d64.088838-165.1040781
05-01-2019 03:21Heller-Langoshgas_transport18.19WalesAK64.7556-165.6723145"Administrator, education"09-11-19398e2d2fae5319d31c887dddbc70627ac463.917785-165.8276211
05-01-2019 11:31Padberg-Welchgrocery_pos367.29BrowningMO40.029-93.1607602Cytogeneticist14-07-19545fbe827807ec9f557f6242bb48db0e5139.167065-93.7052451
05-01-2019 18:03McGlynn-Heathcotemisc_net768.15WalesAK64.7556-165.6723145"Administrator, education"09-11-1939fba83e0a3adb530251295ab72a96b71964.623325-166.4039731
05-01-2019 22:02Dooley-Thompsonmisc_net849.49WalesAK64.7556-165.6723145"Administrator, education"09-11-1939b87c92d4824758e704da572891697fed65.266065-164.8653521

CREATE TABLE fraud_data (
  "trans_date_trans_time" VARCHAR,
  "merchant" VARCHAR,
  "category" VARCHAR,
  "amt" DOUBLE,
  "city" VARCHAR,
  "state" VARCHAR,
  "lat" DOUBLE,
  "long" DOUBLE,
  "city_pop" BIGINT,
  "job" VARCHAR,
  "dob" VARCHAR,
  "trans_num" VARCHAR,
  "merch_lat" DOUBLE,
  "merch_long" DOUBLE,
  "is_fraud" VARCHAR
);

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