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This repository contains an in-depth analysis of bike purchases based on a comprehensive dataset. The analysis includes customer demographics and purchasing details, presented through interactive visualizations in an Excel dashboard.

The dataset, stored in an Excel file namedbike_purchase_data.xlsx, encompasses vital information on bike purchases, including customer demographics and purchasing details.

• ID: Unique identifier for each customer.
• Marital Status: Marital status of the customer.
• Gender: Gender of the customer.
• Income: Customer's income.
• Children: Number of children.
• Education: Customer's education level.
• Occupation: Customer's occupation.
• Home Owner: Indicates whether the customer owns a home.
• Cars: Number of cars owned by the customer.
• Commute Distance: Distance of the customer's commute.
• Region: Geographic region.
• Age: Customer's age.
• Age Range: Categorized age range.
• Purchased Bike: Indicates if a bike was purchased.

Explore the dataset through the following interactive visualizations:

1. Occupation by Count of ID and Sum of Cars - Clustered Bar Chart:

   • Visual representation of the count of IDs and the sum of cars based on occupation.

2. Age Range by Sum of Cars - Clustered Column Chart:

   • Clustered column chart displaying the sum of cars for each age range.

3. Miles by Purchased Bike Count - Line with Markers:

   • Line chart with markers depicting the correlation between miles and the count of purchased bikes.

4. No. of Cars by No. of Bikes Purchased - Line with Markers:

   • Line chart with markers illustrating the relationship between the number of cars and the count of bikes purchased.

5. Region by Purchased Bike - Stacked Line with Markers:

   • Stacked line chart with markers showcasing bike purchases in different regions.

6. Average Income by Region - Clustered Bar Chart:

   • Clustered bar chart presenting the average income in each region.

7. Home Owners by Count of Children - Clustered Bar Chart:

   • Clustered bar chart indicating the count of home owners based on the number of children.

8. Count of Home Owners by Education and Occupation - Clustered Column Chart:

   • Clustered column chart illustrating the count of home owners categorized by education and occupation.

Two slicers are available for interactive exploration:

• Gender Slicer: Allows users to filter data based on gender.
• Marital Status Slicer: Enables users to focus on specific marital statuses.

1. Clone or download this repository.
2. Open the Excel filebike_purchase_analysis.xlsx.
3. Navigate to the "Dashboard" sheet to access the interactive visualizations.
4. Use the slicers to dynamically control the visuals based on gender and marital status.