https://github.com/pradipece/two_dimensional_data_visualization

This repository for different kinds of Data science and Machine learning project
https://github.com/pradipece/two_dimensional_data_visualization

data-science data-visualization jupyter-notebook machine-learning matplotlib numpy pandas python seaborn sklearn statistics

Last synced: about 1 month ago
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This repository for different kinds of Data science and Machine learning project

• Host: GitHub
• URL: https://github.com/pradipece/two_dimensional_data_visualization
• Owner: pradipece
• License: mit
• Created: 2024-11-10T14:15:41.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-30T15:33:19.000Z (about 1 month ago)
• Last Synced: 2024-11-30T16:28:37.236Z (about 1 month ago)
• Topics: data-science, data-visualization, jupyter-notebook, machine-learning, matplotlib, numpy, pandas, python, seaborn, sklearn, statistics
• Language: Jupyter Notebook
• Homepage:
• Size: 1.13 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 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