Black Friday Sale

Data Analysis project

@kaggle.rajeshrampure_black_friday_sale

Table List

1 table(3.73 MB)

Train

@kaggle.rajeshrampure_black_friday_sale.train

3.73 MB
550068 rows
12 columns

user_id User ID	product_id Product ID	gender Gender	age Age	occupation Occupation	city_category City Category	stay_in_current_city_years Stay In Current City Years	marital_status Marital Status	product_category_1 Product Category 1	product_category_2 Product Category 2	product_category_3 Product Category 3	purchase Purchase
1000001	P00069042	F	0-17	10	A	2		3			8370
1000001	P00248942	F	0-17	10	A	2		1	6	14	15200
1000001	P00087842	F	0-17	10	A	2		12			1422
1000001	P00085442	F	0-17	10	A	2		12	14		1057
1000002	P00285442	M	55+	16	C	4+		8			7969
1000003	P00193542	M	26-35	15	A	3		1	2		15227
1000004	P00184942	M	46-50	7	B	2	1	1	8	17	19215
1000004	P00346142	M	46-50	7	B	2	1	1	15		15854
1000004	P0097242	M	46-50	7	B	2	1	1	16		15686
1000005	P00274942	M	26-35	20	A	1	1	8			7871


CREATE TABLE train (
  "user_id" BIGINT,
  "product_id" VARCHAR,
  "gender" VARCHAR,
  "age" VARCHAR,
  "occupation" BIGINT,
  "city_category" VARCHAR,
  "stay_in_current_city_years" VARCHAR,
  "marital_status" BIGINT,
  "product_category_1" BIGINT,
  "product_category_2" DOUBLE,
  "product_category_3" DOUBLE,
  "purchase" BIGINT
);