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You are here		zevross.com Unhide hidden data using jitter in the R package ggplot2 \| Technical Tidbits From Spatial Analysis & Data Science
\|	\|	statsandr.com Graphics in R with ggplot2 - Stats and R	2.7 parsecs away Travel
\|	\|	Learn how to create professional graphics and plots in R (histogram, barplot, boxplot, scatter plot, line plot, density plot, etc.) with the ggplot2 package	2.7 parsecs away Travel
\|	\|	matbesancon.xyz A Pythonic data science project: Part I \| ??	4.0 parsecs away Travel
\|	\|	Learning by doing: detecting fraud on bank notes using Python in 3 steps.	4.0 parsecs away Travel
\|	\|	jeroenjanssens.com Heuristics for Translating Ggplot2 Code to Plotnine Code \| Jeroen Janssens	4.5 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...	4.5 parsecs away Travel
\|	\|	janakiev.com Virtual Environments in Python with venv - njanakiev	21.2 parsecs away Travel
\|		Python's built-in venv module makes it easy to create virtual environments for your Python projects. Virtual environments are isolated spaces where your Python packages and their dependencies live. This means that each project can have its own dependencies, regardless of what other projects are doing.	21.2 parsecs away Travel