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Data visualization

The greatest value of a picture is when it forces us to notice what we never expected to see.
Data visualization makes it easier to compare values. Graphing the data at hand is usually the first (and arguably most important) step for data analysis.
Prominent tools in the Python ecosystem to plot tabular data are pandas and matplotlib.
Chart types include:

TODO

Contour plots (for example with R's function contour)

See also

D3.js is a library to render dynamic and interactive data visualizations in web browsers.
data
graphic, Data visualization with R
Seaborn is a Python library based matplotlib (which is another Python library).

Links

Observable: The magic notebook for data visualization etc.
Vega is a visualization grammar, a declarative format for creating, saving, and sharing interactive visualization designs. With Vega you can describe data visualizations in a JSON format, and generate interactive views using either HTML5 Canvas or SVG.
Jim Vallandingham is a software developer who focuses on data visualization.
https://datavizproject.com/
YouPlot is a Ruby-based tool for drawing plots in the terminal.

Index

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