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100 Ways to Visualize Data Using Python — Complete Guide


Explore 100 practical data visualization types in Python — from basic charts to ML visuals and interactive dashboards — with Matplotlib, Seaborn, Plotly, Bokeh, and Altair examples.

Composition

15. Pie Chart

  • A pie chart is a circular chart divided into slices.
  • Each slice represents a part of a whole.
  • It helps you easily compare different categories by showing their percentage share. Learn more…

16. Donut Chart

17. Voronol Diagram

18. Waffle Chart

19. Stacked Area

20. Mosaic

Comparision

91. Bar Chart

  • A bar chart (or bar graph) is a visual way to compare values across different categories using rectangular bars.
  • The length or height of each bar represents the value of that category. Learn more…

92. Column Chart

93. Lollipop Chart

94. Grouped Bar

95. 100% Stacked Column Chart

Statistical

96. Box Plot

97. Historgram

98. Density Plot

99. Q-Q Plot

100. Normal Distribution