Making A Credit In The Bank

Dataset for determining credit extension to a potential customer

@kaggle.dimabutko_making_a_credit_in_the_bank

Table List

1 table(1.77 MB)

Bank

@kaggle.dimabutko_making_a_credit_in_the_bank.bank

1.77 MB
75829 rows
19 columns

statement_id Statement Id	first_payment First Payment	credit_amount Credit Amount	credit_term Credit Term	income_norm Income Norm	income_sum Income Sum	month_payment Month Payment	gender_norm Gender Norm	family_children Family Children	marriage Marriage	job_experience_year Job Experience Year	job_general_experience_year Job General Experience Year	family_years Family Years	education_norm Education Norm	age Age	work_position Work Position	decision Decision
907265	25.4	1505135	60	0.38	100000	37800	1	1	1	16	40	32	2	59	head_of_department	1
754448	45.6	2026699.39	36	0.08	335000	26060	1		1	4	14	8	4	37	specialist	1
1226984	80	608440	24	0.25	130000	32420	1		1	1	27	8	4	52	specialist	1
1302527	73.9	530000	60	0.09	150000	14000			1	4	10	37	4	65	specialist	1
1066046	30.9	1691240	84	0.24	150000	35536.3		1	1	5	20	12	2	43	specialist
1411351	42.1	1693632	60	0.5	80000	39800					17		4	41	owner	1
1122537	63.9	822960	36	0.26	100000	25900	1	2	1	26	26	18	2	47	unskilled_worker	1
1354353	10	2314092.22	96	0.25	180000	44950				6	28		2	48	specialist	1
1178708		2370000	84	0.37	150000	56060		1		3	12		4	45	head_of_department	1
1258996	40	1569336	60	0.18	200000	35200		1	1	13	20	3	4	43	owner	1


CREATE TABLE bank (
  "statement_id" BIGINT,
  "first_payment" DOUBLE,
  "credit_amount" DOUBLE,
  "credit_term" BIGINT,
  "income_norm" DOUBLE,
  "income_sum" BIGINT,
  "income_sum_confirmed" BIGINT,
  "month_payment" DOUBLE,
  "gender_norm" BIGINT,
  "family_children" BIGINT,
  "marriage" BIGINT,
  "job_experience_year" BIGINT,
  "job_general_experience_year" BIGINT,
  "family_years" BIGINT,
  "education_norm" BIGINT,
  "age" BIGINT,
  "job_is_official" BIGINT,
  "work_position" VARCHAR,
  "decision" BIGINT
);