Data Visualization with Matplotlib: Tutorial

This project contains a data visualization tutorial I created for a company outreach program using Jupyter Notebook with Colab. The tutorial focuses on data visualization techniques using the Matplotlib library in Python.

Description

This tutorial covers various aspects of data visualization using Matplotlib, including:

• Basic plots (line plots, scatter plots, bar plots)
• Customizing plots (labels, titles, colors, styles)
• Subplots and layouts
• Advanced plots (histograms, box plots, pie charts)

The main file for the tutorial is ada_data_visualization_with_matplotlib_module_3.ipynb, a Jupyter Notebook file containing the tutorial content and code examples.

File

• ada_data_visualization_with_matplotlib_module_3.ipynb: Jupyter Notebook file containing the data visualization tutorial.

Usage

To run the tutorial:

1. Ensure you have Python installed.
2. Open the notebook file ada_data_visualization_with_matplotlib_module_3.ipynb in Google Colab or any Jupyter Notebook environment.
3. Follow the instructions in the notebook to learn about data visualization with Matplotlib and execute the code examples.

Dependencies

This tutorial requires the following Python libraries:

• Matplotlib

Ensure that you have these libraries installed before running the code.

Contributors

• Daniel Chime

Feel free to contribute by submitting pull requests or opening issues.