Data Cleaning & Visualization

A comprehensive Python project focused on processing raw, unorganized datasets and turning them into structured, reliable data assets accompanied by clear visual analytics.

This project showcases the ability to handle messy real-world data and extract clear insights through programmatic analysis rather than manual spreadsheet tweaking.

Key Features:

- Data Cleaning: Identified and handled missing values, resolved data type inconsistencies, and removed duplicate records using Pandas and NumPy.

- Data Transformation: Restructured unorganized data files into clean, well-formatted, and production-ready structures.

- Data Visualization: Generated statistical charts and data distributions using Matplotlib to uncover hidden trends and key metrics.

Technologies Used:

- Python

- Pandas

- NumPy

- Matplotlib