Bike Buyers 1000
Data of 1000 rows with details of bike buyers with a categorical output variable
@kaggle.heeraldedhia_bike_buyers
Data of 1000 rows with details of bike buyers with a categorical output variable
@kaggle.heeraldedhia_bike_buyers
This dataset has details of 1000 users from different backgrounds and whether or not they buy a bike. This data can be used for prediction models using Machine Learning Algorithms. There are some NA values injected in the dataset. Use this dataset for Data Cleaning, Exploration and Visualization.
Columns -
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
);CREATE TABLE bike_buyers_clean (
"id" BIGINT,
"marital_status" VARCHAR,
"gender" VARCHAR,
"income" BIGINT,
"children" BIGINT,
"education" VARCHAR,
"occupation" VARCHAR,
"home_owner" VARCHAR,
"cars" BIGINT,
"commute_distance" VARCHAR,
"region" VARCHAR,
"age" BIGINT,
"purchased_bike" VARCHAR
);Anyone who has the link will be able to view this.