Bank Marketing Data Set

@kaggle.ishandutta_bank_marketing_data_set

Table List

4 tables(702.9 KB)

Bank Full

Bank

Bank Additional Full

Bank Additional

Bank Additional

@kaggle.ishandutta_bank_marketing_data_set.bank_additional

58.69 KB
4119 rows
21 columns

age Age	job Job	marital Marital	education Education	default Default	housing Housing	loan Loan	contact Contact	month Month	day_of_week Day Of Week	duration Duration	campaign Campaign	pdays Pdays	previous Previous	poutcome Poutcome	emp_var_rate Emp.var.rate	cons_price_idx Cons.price.idx	cons_conf_idx Cons.conf.idx	euribor3m Euribor3m	nr_employed Nr.employed	y Y
30	blue-collar	married	basic.9y	no	yes	no	cellular	may	fri	487	2	999		nonexistent	-1.8	92.893	-46.2	1.313	5099.1	no
39	services	single	high.school	no	no	no	telephone	may	fri	346	4	999		nonexistent	1.1	93.994	-36.4	4.855	5191	no
25	services	married	high.school	no	yes	no	telephone	jun	wed	227	1	999		nonexistent	1.4	94.465	-41.8	4.962	5228.1	no
38	services	married	basic.9y	no	unknown	unknown	telephone	jun	fri	17	3	999		nonexistent	1.4	94.465	-41.8	4.959	5228.1	no
47	admin.	married	university.degree	no	yes	no	cellular	nov	mon	58	1	999		nonexistent	-0.1	93.2	-42	4.191	5195.8	no
32	services	single	university.degree	no	no	no	cellular	sep	thu	128	3	999	2	failure	-1.1	94.199	-37.5	0.884	4963.6	no
32	admin.	single	university.degree	no	yes	no	cellular	sep	mon	290	4	999		nonexistent	-1.1	94.199	-37.5	0.879	4963.6	no
41	entrepreneur	married	university.degree	unknown	yes	no	cellular	nov	mon	44	2	999		nonexistent	-0.1	93.2	-42	4.191	5195.8	no
31	services	divorced	professional.course	no	no	no	cellular	nov	tue	68	1	999	1	failure	-0.1	93.2	-42	4.153	5195.8	no
35	blue-collar	married	basic.9y	unknown	no	no	telephone	may	thu	170	1	999		nonexistent	1.1	93.994	-36.4	4.855	5191	no


CREATE TABLE bank_additional (
  "age" BIGINT,
  "job" VARCHAR,
  "marital" VARCHAR,
  "education" VARCHAR,
  "default" VARCHAR,
  "housing" VARCHAR,
  "loan" VARCHAR,
  "contact" VARCHAR,
  "month" VARCHAR,
  "day_of_week" VARCHAR,
  "duration" BIGINT,
  "campaign" BIGINT,
  "pdays" BIGINT,
  "previous" BIGINT,
  "poutcome" VARCHAR,
  "emp_var_rate" DOUBLE,
  "cons_price_idx" DOUBLE,
  "cons_conf_idx" DOUBLE,
  "euribor3m" DOUBLE,
  "nr_employed" DOUBLE,
  "y" VARCHAR
);