Data Visualisation Basics

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • data_vis

    Sample Code

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  • seaborn

    Statistical data visualization in Python

    Seaborn: built on top of matplotlib, adds a number of functions to make common statistical visualizations easier to generate.

  • Pandas

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

    pandas: while this library includes some convenient methods for visualizing data that hook into matplotlib, we'll mainly be using it for its main purpose as a general tool for working with data (https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf).

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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