CPU Data Analysis

This project analyzes a dataset of 3,825 CPUs to answer key questions about CPU performance, pricing, and market categories. The analysis uses Python with pandas for data manipulation and matplotlib for visualization.

Instructions for Build and Use

Steps to build and/or run the software:

1. Download your chosen dataset and place it in the same directory as the script
2. Install all required libraries (pandas & matplotlib)
3. Run the script via terminal or run button

Instructions for using the software:

1. The script will display a dataset overview with the first 10 CPUs
2. A bar chart will show the average CPU performance by category
3. Filtered list of high performance CPUs (>50000)
4. Sorted list of lowest performance CPUs
5. Aggregation statistics for insights
6. Top 5 CPUs with the best price-per-performance ratio

Development Environment

To recreate the development environment, you need the following software and/or libraries with the specified versions:

• Python
• pandas
• matplotlib

Useful Websites to Learn More

I found these websites useful in developing this software:

• Pandas Tutorial
• Matplotlib Tutorial

Future Work

The following items I plan to fix, improve, and/or add to this project in the future:

• Add more visualizations (plots or etc.)
• Be able to export analysis results to a CSV or PDF
• Create an interactive dashboard