Data Visualization Project

This repository contains a Jupyter Notebook project focused on data visualization. The project demonstrates the use of various data visualization techniques to explore, analyze, and present data effectively.

Project Overview

The project is built to:

• Highlight the importance of data visualization in understanding data.
• Demonstrate various visualization libraries in Python.
• Provide insights derived from the visualized data.

Key Features

• Exploratory Data Analysis (EDA): Detailed examination of the dataset.
• Visualizations: Includes bar charts, line graphs, scatter plots, heatmaps, and more.
• Libraries Used:
  • Matplotlib
  • Seaborn
  • Plotly
  • Pandas (for data manipulation)

File Structure

• Data Visualization.ipynb: The main Jupyter Notebook containing all visualizations and code.

Prerequisites

Before running the notebook, ensure you have the following installed:

• Python 3.8+
• Jupyter Notebook
• Required Python libraries:

  pip install pandas matplotlib seaborn plotly