Plotly Python Open Source Graphing Library Statistical Charts

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

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Error Bars

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Box Plots

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Histograms

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Distplots

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2D Histograms

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Scatterplot Matrix

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Facet and Trellis Plots

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Parallel Categories Diagram

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Tree-plots

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Violin Plots

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2D Histogram Contour

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Linear and Non-Linear Trendlines

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Marginal Distribution Plots

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Strip Charts

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Continuous Error Bands

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Empirical Cumulative Distribution Plots

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Statistical charts in Dash

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.