Bank Marketing Dataset

Predicting Term Deposit Suscriptions

@kaggle.janiobachmann_bank_marketing_dataset

Table List

1 table(122.8 KB)

Bank

@kaggle.janiobachmann_bank_marketing_dataset.bank

122.8 KB
11162 rows
17 columns

age Age	job Job	marital Marital	education Education	default Default	balance Balance	housing Housing	loan Loan	contact Contact	day Day	month Month	duration Duration	campaign Campaign	pdays Pdays	poutcome Poutcome	deposit Deposit
59	admin.	married	secondary	no	2343	yes	no	unknown	5	may	1042	1	-1	unknown	yes
56	admin.	married	secondary	no	45	no	no	unknown	5	may	1467	1	-1	unknown	yes
41	technician	married	secondary	no	1270	yes	no	unknown	5	may	1389	1	-1	unknown	yes
55	services	married	secondary	no	2476	yes	no	unknown	5	may	579	1	-1	unknown	yes
54	admin.	married	tertiary	no	184	no	no	unknown	5	may	673	2	-1	unknown	yes
42	management	single	tertiary	no		yes	yes	unknown	5	may	562	2	-1	unknown	yes
56	management	married	tertiary	no	830	yes	yes	unknown	6	may	1201	1	-1	unknown	yes
60	retired	divorced	secondary	no	545	yes	no	unknown	6	may	1030	1	-1	unknown	yes
37	technician	married	secondary	no	1	yes	no	unknown	6	may	608	1	-1	unknown	yes
28	services	single	secondary	no	5090	yes	no	unknown	6	may	1297	3	-1	unknown	yes


CREATE TABLE bank (
  "age" BIGINT,
  "job" VARCHAR,
  "marital" VARCHAR,
  "education" VARCHAR,
  "default" VARCHAR,
  "balance" BIGINT,
  "housing" VARCHAR,
  "loan" VARCHAR,
  "contact" VARCHAR,
  "day" BIGINT,
  "month" VARCHAR,
  "duration" BIGINT,
  "campaign" BIGINT,
  "pdays" BIGINT,
  "previous" BIGINT,
  "poutcome" VARCHAR,
  "deposit" VARCHAR
);