Data Visualization Resources

• Python Graph Gallery - this website displays hundreds of charts while providing the reproducible Python code.
• From Data To Viz - ‘From Data to Viz’ is a classification of chart types based on input data format. It comes in the form of a decision tree leading to a set of potentially appropriate visualizations to represent your dataset.
• 5 Data Visualization Best Practices

Plotting in Pandas

• Visualization in Pandas
• Pandas Plotting
• Pandas Plotting Tutorial
• Using Pandas for Analyzing Data - Visualization

Matplotlib

• Matplotlib Official Documentation
  • Matplotlib Official User's Guide
  • Matplotlib Examples Gallery
  • Matplotlib Plotting Commands
  • Pyplot Tutorial
  • Matplotlib Learning Resources
• Matplotlib Plotting Tutorial
• Plotting with Matplotlib - from Python Graph Gallery.
• Visualization with Matplotlib - a chapter from Python Data Science Handbook.
• Matplotlib Jupyter Notebooks - IPython Notebook(s) demonstrating matplotlib functionality.
• Introduction to Matplotlib - Data Visualization in Python - a blog post with a Matplotlib tutorial.
• 5 Quick and Easy Data Visualizations in Python (Matplotlib)
• Top 50 matplotlib Visualizations – The Master Plots (with full python code) - a compilation of the Top 50 matplotlib plots most useful in data analysis and visualization. This list lets you choose what visualization to show for what situation using python’s Matplotlib and Seaborn library.
• A Better Way To Add Labels To Bar Charts With Matplotlib - a blog post with a great solution to adding labels to bar charts in Maplotlib.

Seaborn

• Seaborn Official Documentation
  • An Introduction to Seaborn
  • Official Seaborn Tutorial
  • Seaborn Example Gallery
• Seaborn Tutorial
• Seaborn Plotting - from Python Graph Gallery.
• How to prevent overlapping x-axis labels in sns.countplot - from stackoverflow
• How do I change the figure size for a seaborn plot? - from stackoverflow

Bokeh

• Bokeh Official Documentation
  • Bokeh User's Guide
  • Bokeh Tutorial
    • Introduction and Setup
      • Interactive Version - same tutorial as before, except you can edit and play with the code!
  • Bokeh Examples Gallery
  • Bokeh Reference Guide
• Bokeh 5-minute Overview
• Bokeh Tutorial
• GA Bokeh Lecture - from Ali Spittel's GitHub page.