Best visualization for your data

By | April 19, 2023

This post on LinkedIn shares the data-to-viz.com web site that helps find the best visualization depending on the data itself. It is based on the number of numeric variables, (1,2,3, several) but can also be organized by category, both number and category, time series and more.

Further more there are sample code in R, Python, D3.js and React offered for each option.

suggested plot formats as a funtion of data

Here is some of the text of the original post by Giannis Tolios: (links decoded from LinkedIn short URL.)

๐—™๐—ถ๐—ป๐—ฑ ๐˜๐—ต๐—ฒ ๐—•๐—ฒ๐˜€๐˜ ๐—ฉ๐—ถ๐˜€๐˜‚๐—ฎ๐—น๐—ถ๐˜‡๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ณ๐—ผ๐—ฟ ๐˜†๐—ผ๐˜‚๐—ฟ ๐——๐—ฎ๐˜๐—ฎ! ๐Ÿ’ก๐Ÿ“Š
Have you ever looked for the best plots to visualize a dataset? From Data to Viz is a website helping with that, by offering handy diagrams for various data types! Furthermore, clicking on each visualization type provides a brief description, as well as code examples in Python and R. This website can be a valuable guide for beginners, as well as experts creating advanced visualizations in the programming language of their preference. Check the links below for more information, and make sure to follow me for regular data science content!

๐—™๐—ฟ๐—ผ๐—บ ๐——๐—ฎ๐˜๐—ฎ ๐˜๐—ผ ๐—ฉ๐—ถ๐˜‡ ๐˜„๐—ฒ๐—ฏ๐˜€๐—ถ๐˜๐—ฒ:  https://www.data-to-viz.com

๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐— ๐—Ÿ ๐—ฎ๐—ป๐—ฑ ๐—ง๐—ถ๐—บ๐—ฒ ๐—ฆ๐—ฒ๐—ฟ๐—ถ๐—ฒ๐˜€ ๐—™๐—ผ๐—ฟ๐—ฒ๐—ฐ๐—ฎ๐˜€๐˜๐—ถ๐—ป๐—ด ๐˜„๐—ถ๐˜๐—ต ๐—ฃ๐˜†๐—–๐—ฎ๐—ฟ๐—ฒ๐˜๐Ÿ“š: https://leanpub.com/pycaretbook/

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