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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