For this project, I analyzed bike sales data to gather the profile if customers who buy bikes.

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Dataset

The dataset gives information on customer demographics such as gender, marital status, education, occupation, region, age, etc. Most importantly it shows whether they purchased a bike or not. This information useful to business owners who wish to increase their bike sales since it helps them understand the type of customer that purchases a bike. This can give them insight on who to market to.

Findings

• Customers with a shorter commute distance tend to buy the most bikes. Customers with longer commute distances buy the least bikes.
• Middle aged (30-54) customers buy the most bikes
• Single customers buy bikes more than those that are married
• Customers in North America buy the most bikes
• Customers with a Bachelors degree buy the most bikes
• Customer who work in professional roles tend to purchase bikes the most