Data Visualization Project

Description

This project demonstrates data visualization techniques using Python, Pandas, and Matplotlib. It analyzes Shoprite's profit data over an 8-year period (2017-2024) and presents the data through multiple visualization methods including pie charts, bar graphs, horizontal bar charts, and line graphs.

Project Overview

• Purpose: Visualize profit trends for Shoprite over 8 years
• Data Period: 2017-2024
• Visualizations: 4 different chart types on a single figure
• Technologies: Python, Pandas, Matplotlib

Installation

Prerequisites

• Python 3.x installed on your system

Required Libraries

Install the required packages using pip:

pip install matplotlib pandas

Or install from requirements.txt:

pip install -r requirements.txt

How to Run

1. Clone or download the repository

2. Navigate to the project directory

3. Run the Python script:

   python shoprite_analysis.py

4. View the output:

   • A table showing the profit data will be printed to the console
   • A figure with 4 subplots will be displayed showing different visualizations

Data Structure

The project uses the following data:

• Years: 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024
• Profit Values: [4000000, 800000, 7000000, 6000000, 7000000, 6327823, 7820200, 8000000]

Visualizations Included

1. Pie Chart - Shows the proportion of profit for each year
2. Bar Graph - Displays profit as vertical bars for each year
3. Horizontal Bar Graph - Shows profit as horizontal bars
4. Line Graph - Illustrates profit trends over time

Learning Outcomes

This project demonstrates:

• How to work with Python dictionaries and Pandas DataFrames
• Creating multiple subplots in Matplotlib
• Various chart types and their appropriate uses
• Data visualization best practices
• Basic data analysis with Python

Use Cases

Perfect for:

• Information Management students learning data visualization
• Business analysts studying profit trends
• Python learners practicing Matplotlib and Pandas
• Portfolio building for data analysis roles

Author

Created as a learning project for Information Management studies at University of Johannesburg (UJ)

License

This project is open for educational use.

Future Improvements

• Add more years of data
• Include statistical analysis (mean, median, trend lines)
• Add interactivity with Plotly
• Create a dashboard with additional metrics
• Add data export functionality (CSV, Excel)

Questions or Feedback?

Feel free to fork this repository, make improvements, or share suggestions!