Data Vizualizations with Python

This repository provides examples of how to plot different types of charts using Python libraries such as Matplotlib and Seaborn.

Table of Contents

Installation
Usage
Chart Types
Contributing
License

Installation

To use the examples in this repository, you will need to have Python installed on your system. You can download Python from the official website: https://www.python.org/downloads/

You will also need to install the following Python libraries:

• Matplotlib
• Seaborn
• Pandas
• Scipy
• SKlearn
• h3

You can install these libraries using pip:

pip install matplotlib seaborn pandas scipy scikit-learn h3

Usage

To use the examples in this repository, simply open the Jupyter notebook in the notebooks directory. It contains the code for how to create the charts.

Alternatively, you can copy and paste the code from the notebooks into your own Python script.

Chart Types

The following chart types are covered in this repository:

• Line Chart
• Bar Chart
• Pie Chart
• Histogram
• Scatter Plot
• Heatmap
• Boxplot

Each chart type is demonstrated using sample data and includes code for customizing the chart.

Contributing

If you would like to contribute to this repository, please follow these steps:

1. Fork the repository
2. Create a new branch for your feature or bugfix
3. Implement your feature or bugfix
4. Write tests for your changes
5. Run the tests
6. Submit a pull request

License

This repository is open source software licensed under the MIT License. Feel free to use the examples in your own projects or modify them to suit your needs.