Bank Marketing

Data is related with direct marketing campaigns of a Portuguese bank institution

@kaggle.dvaser_bank_marketing

Table List

4 tables(702.9 KB)

Bank Additional Full

Bank Additional

Bank Full

Bank

Bank

@kaggle.dvaser_bank_marketing.bank

63.02 KB
4521 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	previous Previous	poutcome Poutcome	y Y
30	unemployed	married	primary	no	1787	no	no	cellular	19	oct	79	1	-1		unknown	no
33	services	married	secondary	no	4789	yes	yes	cellular	11	may	220	1	339	4	failure	no
35	management	single	tertiary	no	1350	yes	no	cellular	16	apr	185	1	330	1	failure	no
30	management	married	tertiary	no	1476	yes	yes	unknown	3	jun	199	4	-1		unknown	no
59	blue-collar	married	secondary	no		yes	no	unknown	5	may	226	1	-1		unknown	no
35	management	single	tertiary	no	747	no	no	cellular	23	feb	141	2	176	3	failure	no
36	self-employed	married	tertiary	no	307	yes	no	cellular	14	may	341	1	330	2	other	no
39	technician	married	secondary	no	147	yes	no	cellular	6	may	151	2	-1		unknown	no
41	entrepreneur	married	tertiary	no	221	yes	no	unknown	14	may	57	2	-1		unknown	no
43	services	married	primary	no	-88	yes	yes	cellular	17	apr	313	1	147	2	failure	no


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,
  "y" VARCHAR
);