Inspiration

I wanted to create a tool that makes complex data easy to understand for beginners and students. Many people struggle with interpreting raw data, so I thought a simple visualization could help.

What I Learned

During this project, I learned the basics of Python data handling, creating interactive charts, and how to turn raw data into meaningful insights.

How I Built It

I used Python with the pandas library for data processing and matplotlib/seaborn for visualization. The project runs locally and can display charts from any CSV file.

Challenges

The main challenge was handling datasets with missing or inconsistent data. I had to write functions to clean and standardize the input before visualizing it.

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