Data Visualization Examples with Jupyter Notebook

This repository contains Jupyter Notebooks demonstrating how to create and decorate various types of plots using numpy, matplotlib, and scipy. These examples are designed to help beginners understand the basics of data visualization.

This repository contains three main files:

1. Histogram, plot, scatter, subplots:

   • Demonstrates how to create and decorate histograms, plots, scatter plots, and subplots.

2. NormalDistribution Example:

   • Provides examples of generating normal distribution data using numpy's np.random.normal.
   • Demonstrates how to create histograms and plots with the generated data.

3. CDF of Z-Score Example:

   • An example of computing the cumulative distribution function (CDF) of the z-score for a normal distribution with sample data.

Contributions are welcome! If you have any examples, improvements, or bug fixes, please create a pull request. For major changes, please open an issue first to discuss what you would like to change.