Bike Buyers 1000

Data of 1000 rows with details of bike buyers with a categorical output variable

@kaggle.heeraldedhia_bike_buyers

Table List

2 tables(37.2 KB)

Bike Buyers

@kaggle.heeraldedhia_bike_buyers.bike_buyers

18.85 KB
1000 rows
13 columns

id ID	marital_status Marital Status	gender Gender	income Income	children Children	education Education	occupation Occupation	home_owner Home Owner	cars Cars	commute_distance Commute Distance	region Region	age Age	purchased_bike Purchased Bike
12496	Married	Female	40000	1	Bachelors	Skilled Manual	Yes		0-1 Miles	Europe	42	No
24107	Married	Male	30000	3	Partial College	Clerical	Yes	1	0-1 Miles	Europe	43	No
14177	Married	Male	80000	5	Partial College	Professional	No	2	2-5 Miles	Europe	60	No
24381	Single	nan	70000		Bachelors	Professional	Yes	1	5-10 Miles	Pacific	41	Yes
25597	Single	Male	30000		Bachelors	Clerical	No		0-1 Miles	Europe	36	Yes
13507	Married	Female	10000	2	Partial College	Manual	Yes		1-2 Miles	Europe	50	No
27974	Single	Male	160000	2	High School	Management	nan	4	0-1 Miles	Pacific	33	Yes
19364	Married	Male	40000	1	Bachelors	Skilled Manual	Yes		0-1 Miles	Europe	43	Yes
22155	nan	Male	20000	2	Partial High School	Clerical	Yes	2	5-10 Miles	Pacific	58	No
19280	Married	Male		2	Partial College	Manual	Yes	1	0-1 Miles	Europe		Yes


CREATE TABLE bike_buyers (
  "id" BIGINT,
  "marital_status" VARCHAR,
  "gender" VARCHAR,
  "income" DOUBLE,
  "children" DOUBLE,
  "education" VARCHAR,
  "occupation" VARCHAR,
  "home_owner" VARCHAR,
  "cars" DOUBLE,
  "commute_distance" VARCHAR,
  "region" VARCHAR,
  "age" DOUBLE,
  "purchased_bike" VARCHAR
);