Exploratory Data Analysis With Python and Pandas

Project Overview

This project focuses on exploring a sales dataset from a supermarket retail chain and performing Exploratory Data Analysis (EDA) using Python and Pandas. Here's a summary of what I have covered:

• Initial data exploration using Pandas.
• Univariate analysis of continuous and categorical variables.
• Bivariate analysis to explore relationships between variables.
• Handling duplicate rows and missing values.
• Conducting correlation analysis.

Getting Started

To explore this project:

1. Clone this repository.
2. Install required Python libraries (Pandas, NumPy, Seaborn, Matplotlib).
3. Open Jupyter Notebook files for each task to see the code and analysis.

Dependencies

This project requires:

• Pandas
• NumPy
• Seaborn
• Matplotlib
• Jupyter Notebook

You can install these libraries using:

pip install pandas numpy seaborn matplotlib jupyter