Data Visualization Project

This project is centered around Data Visualization using Python libraries such as Matplotlib and Seaborn. It converts raw data into clear and meaningful visual insights through various charts, graphs, and a correlation heatmap.

Project Overview

This task is part of the CodeAlpha Data Analytics Internship, focusing on transforming raw datasets into visual formats like charts, graphs, and dashboards using Python.

Task Requirements

• Convert raw data into meaningful visual representations
• Use visualization libraries:
  • Matplotlib
  • Seaborn
• Create compelling data stories to support decision-making

Tools & Technologies

• Python 3.x
• Pandas (for data handling)
• Matplotlib (for basic charts)
• Seaborn (for advanced visualizations)

Files in this Repository

• data_visualization_task3.py → Main Python script for visualizations
• README.md → Project documentation

Visualizations Included

• Bar Chart: Monthly Sales Overview
• Line Chart: Sales vs Profit Trend Analysis
• Pie Chart: Sales Distribution by Month
• Heatmap: Sales-Profit Correlation Analysis

How to Run the Code

1. Clone the repository:

git clone https://github.com/AnushreeAK/data_visualization_task3.git

2. Navigate to the project folder:

cd data_visualization_task3

3. Install dependencies:

pip install pandas matplotlib seaborn

4. Run the script:

python data_visualization_task3.py

Benefits

• Develops key skills in data analysis and visualization
• Enhances understanding of complex datasets
• Supports decision-making through clear visual representation
• Strengthens practical proficiency in Python visualization libraries
• Serves as a portfolio project demonstrating data visualization skills
• Develops analytical thinking and visual storytelling abilities