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 Full

@kaggle.ishandutta_bank_marketing_data_set.bank_additional_full

231.08 KB
41188 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	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
56	housemaid	married	basic.4y	no	no	no	telephone	may	mon	261	1	999	nonexistent	1.1	93.994	-36.4	4.857	5191	no
57	services	married	high.school	unknown	no	no	telephone	may	mon	149	1	999	nonexistent	1.1	93.994	-36.4	4.857	5191	no
37	services	married	high.school	no	yes	no	telephone	may	mon	226	1	999	nonexistent	1.1	93.994	-36.4	4.857	5191	no
40	admin.	married	basic.6y	no	no	no	telephone	may	mon	151	1	999	nonexistent	1.1	93.994	-36.4	4.857	5191	no
56	services	married	high.school	no	no	yes	telephone	may	mon	307	1	999	nonexistent	1.1	93.994	-36.4	4.857	5191	no
45	services	married	basic.9y	unknown	no	no	telephone	may	mon	198	1	999	nonexistent	1.1	93.994	-36.4	4.857	5191	no
59	admin.	married	professional.course	no	no	no	telephone	may	mon	139	1	999	nonexistent	1.1	93.994	-36.4	4.857	5191	no
41	blue-collar	married	unknown	unknown	no	no	telephone	may	mon	217	1	999	nonexistent	1.1	93.994	-36.4	4.857	5191	no
24	technician	single	professional.course	no	yes	no	telephone	may	mon	380	1	999	nonexistent	1.1	93.994	-36.4	4.857	5191	no
25	services	single	high.school	no	yes	no	telephone	may	mon	50	1	999	nonexistent	1.1	93.994	-36.4	4.857	5191	no


CREATE TABLE bank_additional_full (
  "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
);