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Showing content from https://plotly.com/python/statistical-charts/ below:

Statistical charts in Python

• Getting Started
• Is Plotly Free?
• Figure Reference
• API Reference
• Dash
• GitHub
• community.plotly.com

• Fundamentals
• Basic Charts
• Statistical Charts
• Scientific Charts
• Financial Charts
• Maps
• AI and ML
• Visualizing Biological Data
• 3D Charts
• Subplots
• Animations
• Advanced

>

Plotly's Python graphing library makes interactive, publication-quality graphs online. Examples of how to make statistical charts such as box plots, histograms, and distribution plots.

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• Error Bars

  View Tutorial

• Box Plots

  View Tutorial

• Histograms

  View Tutorial

• Distplots

  View Tutorial

• 2D Histograms

  View Tutorial

• Scatterplot Matrix

  View Tutorial

• Facet and Trellis Plots

  View Tutorial

• Parallel Categories Diagram

  View Tutorial

• Tree-plots

  View Tutorial

• Violin Plots

  View Tutorial

• 2D Histogram Contour

  View Tutorial

• Linear and Non-Linear Trendlines

  View Tutorial

• Marginal Distribution Plots

  View Tutorial

• Strip Charts

  View Tutorial

• Continuous Error Bands

  View Tutorial

• Empirical Cumulative Distribution Plots

  View Tutorial

Dash is the best way to build analytical apps in Python using Plotly figures. To run the app below, run pip install dash, click "Download" to get the code and run python app.py.

Get started with the official Dash docs and learn how to effortlessly style & deploy apps like this with Dash Enterprise.

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