🚴 Bike Buyers Sales Dashboard (Excel)
View on GitHub📋 Overview
This project focuses on analyzing customer bike purchasing behavior using Microsoft Excel.
The dataset includes demographic and lifestyle attributes such as age, income, education,
marital status, region, number of cars, and commute distance.
The goal was to perform data cleaning, exploratory data analysis using Pivot Tables,
and build an interactive dashboard that helps understand customer trends and business insights.
✨ Key Insights
📊 Age vs Purchase Trend
- Analyzed which age groups are more likely to purchase bikes
- Identified peak buying segments
📍 Regional Distribution
- Compared bike purchases across regions
- Highlighted high-performing areas
🚗 Commute Distance Analysis
- Studied relationship between commute distance and buying decision
- Observed behavioral patterns
💰 Income & Gender Comparison
- Analyzed income trends across gender groups
- Explored purchase correlation