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You are here		jeroenjanssens.com Plotnine: Grammar of Graphics for Python \| Jeroen Janssens
\|	\|	r4ds.had.co.nz 28 Graphics for communication \| R for Data Science	0.2 parsecs away Travel
\|	\|	You're reading the first edition of R4DS; for the latest on this topic see the Communication chapter in the second edition. 28.1 Introduction In \[exploratory data analysis\], you learned how to...	0.2 parsecs away Travel
\|	\|	datascienceworkshops.com Heuristics for Translating Ggplot2 Code to Plotnine Code \| Jeroen Janssens	1.7 parsecs away Travel
\|	\|	Blog article by Jeroen Janssens. Dec 13, 2019. 6 min read. Because ggplot2 is the de-facto package for creating high-quality data visualizations in R, and has been for a long time, there exists many excellent resources for learning ggplot2, including: the ggplot2 website, a two-page cheat sheet (PDF), Stack Overflow, and books such as ggplot2: Elegant Graphics for Data Analysis and R Graphics Cookbook: Practical Recipes for Visualizing Data. A ggplot2 cheat sheet (PDF) Two days ago, I published...	1.7 parsecs away Travel
\|	\|	www.cedricscherer.com Efficiency and Consistency: Automate Subset Graphics with ggplot2 and purrr - Cédric Scherer	3.8 parsecs away Travel
\|	\|	Discover how to effortlessly generate custom and even complex graphics for subsets of your data by seamlessly integrating {ggplot2}'s versatile plotting functionalities with {purrr}'s powerful functional programing capabilities. This is especially helpful for data featuring many categories or step-by-step graphical storytelling	3.8 parsecs away Travel
\|	\|	tdhock.github.io Toby Dylan Hocking \| Visualizing prediction error	22.3 parsecs away Travel
\|		Statistical machine learning researcher working on fast optimization algorithms for large data.	22.3 parsecs away Travel