Two-dimensional data visualization

Matplotlib

This repository cover the following topics:

• Install the matplotlib's and Seaborn packages
• Using matplotlib's visualizing relationships between two or more variables using scatter plots
• Plotting multiple matplotlib's and Seaborn charts in a grid
• Studying distributions of variables using histograms and bar charts
• Visualizing two-dimensional data using heatmap
• Displaying images using Matplotlib's plt.imshow and explain in the note book.

Summary

Covered the following topics :

• Creating and customizing line charts using Matplotlib
• Visualizing relationships between two or more variables using scatter plots
• Studying distributions of variables using histograms & bar charts to
• Visualizing two-dimensional data using heatmaps
• Displaying images using Matplotlib's plt.imshow
• Plotting multiple Matplotlib and Seaborn charts in a grid

In this repo covered some of the fundamental concepts and popular techniques for data visualization using Matplotlib and Seaborn. Data visualization is a vast field and barely scratched the surface here.
Check out these [References] to learn and discover more:

• Seaborn gallery: https://seaborn.pydata.org/examples/index.html
• Matplotlib gallery: https://matplotlib.org/3.1.1/gallery/index.html
• Matplotlib tutorial: https://github.com/rougier/matplotlib-tutorial