Baselight

Credit Card Approval Prediction (Cleaned Version)

A Cleaned Version of Credit Card Dataset Originally from Seanny (@rikdifos)

@kaggle.caesarmario_application_data

Application Data
@kaggle.caesarmario_application_data.application_data

  • 288.51 KB
  • 25128 rows
  • 21 columns
applicant_id

Applicant ID

applicant_gender

Applicant Gender

owned_car

Owned Car

owned_realty

Owned Realty

total_children

Total Children

total_income

Total Income

income_type

Income Type

education_type

Education Type

family_status

Family Status

housing_type

Housing Type

owned_mobile_phone

Owned Mobile Phone

owned_work_phone

Owned Work Phone

owned_phone

Owned Phone

owned_email

Owned Email

job_title

Job Title

total_family_members

Total Family Members

applicant_age

Applicant Age

years_of_working

Years Of Working

total_bad_debt

Total Bad Debt

total_good_debt

Total Good Debt

status

Status

5008806M 11112500Working Secondary / secondary special Married House / apartment 1Security staff 2594301
5008808F 1270000Commercial associate Secondary / secondary special Single / not married House / apartment 111Sales staff 153951
5008809F 1270000Commercial associate Secondary / secondary special Single / not married House / apartment 111Sales staff 153951
5008810F 1270000Commercial associate Secondary / secondary special Single / not married House / apartment 111Sales staff 1539271
5008811F 1270000Commercial associate Secondary / secondary special Single / not married House / apartment 111Sales staff 1539391
5008815M 11270000Working Higher education Married House / apartment 1111Accountants 247361
5008819M 11135000Commercial associate Secondary / secondary special Married House / apartment 1Laborers 249481
5008820M 11135000Commercial associate Secondary / secondary special Married House / apartment 1Laborers 249491
5008821M 11135000Commercial associate Secondary / secondary special Married House / apartment 1Laborers 249491
5008822M 11135000Commercial associate Secondary / secondary special Married House / apartment 1Laborers 249491

CREATE TABLE application_data (
  "applicant_id" BIGINT,
  "applicant_gender" VARCHAR,
  "owned_car" BIGINT,
  "owned_realty" BIGINT,
  "total_children" BIGINT,
  "total_income" BIGINT,
  "income_type" VARCHAR,
  "education_type" VARCHAR,
  "family_status" VARCHAR,
  "housing_type" VARCHAR,
  "owned_mobile_phone" BIGINT,
  "owned_work_phone" BIGINT,
  "owned_phone" BIGINT,
  "owned_email" BIGINT,
  "job_title" VARCHAR,
  "total_family_members" BIGINT,
  "applicant_age" BIGINT,
  "years_of_working" BIGINT,
  "total_bad_debt" BIGINT,
  "total_good_debt" BIGINT,
  "status" BIGINT
);

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