Loan Application Data

Loan Prediction approved or not

@kaggle.vipin20_loan_application_data

Table List

1 table(24.88 KB)

Df1 Loan

@kaggle.vipin20_loan_application_data.df1_loan

24.88 KB
500 rows
15 columns

unnamed_0 Unnamed: 0	loan_id Loan ID	gender Gender	married Married	dependents Dependents	education Education	self_employed Self Employed	applicantincome ApplicantIncome	coapplicantincome CoapplicantIncome	loanamount LoanAmount	loan_amount_term Loan Amount Term	credit_history Credit History	property_area Property Area	loan_status Loan Status	total_income Total Income
	LP001002	Male	No	0	Graduate	No	5849			360	1	Urban	Y	$5849.0
1	LP001003	Male	Yes	1	Graduate	No	4583	1508	128	360	1	Rural	N	$6091.0
2	LP001005	Male	Yes	0	Graduate	Yes	3000		66	360	1	Urban	Y	$3000.0
3	LP001006	Male	Yes	0	Not Graduate	No	2583	2358	120	360	1	Urban	Y	$4941.0
4	LP001008	Male	No	0	Graduate	No	6000		141	360	1	Urban	Y	$6000.0
5	LP001011	Male	Yes	2	Graduate	Yes	5417	4196	267	360	1	Urban	Y	$9613.0
6	LP001013	Male	Yes	0	Not Graduate	No	2333	1516	95	360	1	Urban	Y	$3849.0
7	LP001014	Male	Yes	3+	Graduate	No	3036	2504	158	360		Semiurban	N	$5540.0
8	LP001018	Male	Yes	2	Graduate	No	4006	1526	168	360	1	Urban	Y	$5532.0
9	LP001020	Male	Yes	1	Graduate	No	12841	10968	349	360	1	Semiurban	N	$23809.0


CREATE TABLE df1_loan (
  "unnamed_0" BIGINT,
  "loan_id" VARCHAR,
  "gender" VARCHAR,
  "married" VARCHAR,
  "dependents" VARCHAR,
  "education" VARCHAR,
  "self_employed" VARCHAR,
  "applicantincome" BIGINT,
  "coapplicantincome" DOUBLE,
  "loanamount" DOUBLE,
  "loan_amount_term" DOUBLE,
  "credit_history" DOUBLE,
  "property_area" VARCHAR,
  "loan_status" VARCHAR,
  "total_income" VARCHAR
);