Bicycle Repair Analysis 📊🚲

This project analyzes bicycle repair trends using Python and Pandas. It processes a CSV file containing repair records, extracts insights, and visualizes trends over time.

Features

✅ Parses and cleans bicycle repair data
✅ Identifies the most common repair types
✅ Tracks repair trends over time
✅ Analyzes average repair costs

How to Use

1. Place your bicycle repair data in a CSV file (example dataset included).
2. Run the analyze_bicycle_repairs.py script.
3. View insights on repair frequency, trends, and costs.

Example Dataset

The dataset includes a variety of bicycle repairs such as brake adjustments, chain replacements, and full tune-ups, spanning multiple months for trend analysis.

Requirements

• Python 3.x
• Pandas

Installation

pip install pandas
python analyze_bicycle_repairs.py

Feel free to contribute, suggest improvements, or expand the dataset! 🚀