https://github.com/ahmad-ali-rafique/pyviznotebook

PyVizNotebook is a collection of Matplotlib visualizations demonstrating a wide range of plot types and techniques for data visualization. Whether you're a beginner looking to learn or an experienced developer seeking inspiration, this repository offers a diverse set of examples to explore.
https://github.com/ahmad-ali-rafique/pyviznotebook

analytics colab-notebook data data-science data-visualization dataanalytics matplotlib-python plots seaborn-python visualization

Last synced: 2 months ago
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PyVizNotebook is a collection of Matplotlib visualizations demonstrating a wide range of plot types and techniques for data visualization. Whether you're a beginner looking to learn or an experienced developer seeking inspiration, this repository offers a diverse set of examples to explore.

• Host: GitHub
• URL: https://github.com/ahmad-ali-rafique/pyviznotebook
• Owner: Ahmad-Ali-Rafique
• Created: 2024-05-14T13:02:07.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-06-12T08:24:08.000Z (7 months ago)
• Last Synced: 2024-06-12T13:31:24.132Z (7 months ago)
• Topics: analytics, colab-notebook, data, data-science, data-visualization, dataanalytics, matplotlib-python, plots, seaborn-python, visualization
• Language: Jupyter Notebook
• Homepage:
• Size: 2.77 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# PyVizNotebook

PyVizNotebook is a collection of Matplotlib visualizations demonstrating a wide range of plot types and techniques for data visualization. Whether you're a beginner looking to learn or an experienced developer seeking inspiration, this repository offers a diverse set of examples to explore.

Contents

1. Bar Plot

2. Scatter Plot

3. Box Plot

4. pie plot

5. count plot

6. swarm plot

8. Histogram

9. Heatmaps

And More...

## Bar Plot

 Bar plots are useful for visualizing categorical data with rectangular bars representing the quantities or frequencies of each category.

## Scatter Plot

 Scatter plots display individual data points as markers, allowing for the visualization of relationships between two variables.

## Box Plot

 Box plots provide a graphical summary of the distribution of data, including median, quartiles, and outliers.

## Histogram

 Histograms represent the distribution of a continuous variable by dividing the data into bins and displaying the frequency of each bin.

## Heatmaps

 Heatmaps visualize data in a matrix format, where colors represent values, making it easy to identify patterns and trends.

And More...

 Explore additional visualizations and techniques in the repository to enhance your data visualization skills!

 ## [Ahmad Ali CV](https://drive.google.com/file/d/1bNLIx1j85e8ax21ZEC0DPt5C1at8vHjv/view?usp=sharing)