Exploratory Data Analysis - Online Shopping in Retail

Analysis and Visualisation

Introduction

This repository contains datasets and Python scripts pertaining to customer activity and related analytics. The datasets provide insights into customer behaviors, while the Python scripts offer utility functions, software logic, and analysis tools to further process and analyze the datasets.

Table of Contents

• Project Description
• Installation Instructions
• Usage Instructions
• File Structure
• License Information

Project Description

This project provides a comprehensive solution for managing customer data, analyzing marketing strategies, evaluating performance metrics, and tracking revenue. The main goal is to offer businesses a unified platform for customer management. Through this project, I learned about data analytics, data visualization, and building scalable software solutions.

Installation Instructions

1. Clone the repository from GitHub.

• git clone https://github.com/github8585/exploratory-data-analysis---online-shopping-in-retail.git

3. Ensure you have Python installed on your system.

• https://realpython.com/installing-python/

4. Install the required packages.

• psycopg2
• sqlalchemy
• pandas
• yaml
• matplotlib
• seaborn
• scipy
• numpy

5. Run the main application using:

• python db_utils.py.

Usage Instructions

Navigate to the main dashboard to access the different modules. Each module has its own interface with relevant options for data input, analysis, and visualization.

File Structure

• customer_software.py: Contains functions related to customer management.
• marketing.py: Provides tools for analyzing marketing strategies.
• performance_analysis.py: Offers metrics and visualization for performance analysis.
• revenue.py: Tracks and analyzes revenue data.

License Information

This project is licensed under the MIT License. You can use, modify, and distribute this code freely. For more details, refer to the LICENSE file in the repository.