Retail Sales Analysis & Visualization Using Python

I worked on a Retail Sales Analysis project using Python to explore, clean, and analyze sales data.

The project included:

- Understanding the dataset structure.

- Data cleaning and handling missing values.

- Checking duplicate records.

- Data processing and preparation.

- Exploratory Data Analysis (EDA).

- Analyzing sales by category and month.

- Creating charts and visualizations to present insights.

The goal was to transform raw data into organized and meaningful information that helps understand sales performance.

Tools Used:

- Python

- Pandas

- NumPy

- Matplotlib

- Google Colab