<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>data visualization on Craig Hutton, PhD</title><link>https://craig.rbind.io/categories/data-visualization/</link><description>Recent content in data visualization on Craig Hutton, PhD</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>Copyright &amp;copy; {year} by Craig P. Hutton</copyright><lastBuildDate>Mon, 17 May 2021 00:00:00 +0000</lastBuildDate><atom:link href="https://craig.rbind.io/categories/data-visualization/index.xml" rel="self" type="application/rss+xml"/><item><title>A Scientist&#39;s Guide to R: Step 3.1 - data visualization with ggplot2&#43;</title><link>https://craig.rbind.io/post/2021-05-17-asgr-3-1-data-visualization/</link><pubDate>Mon, 17 May 2021 00:00:00 +0000</pubDate><guid>https://craig.rbind.io/post/2021-05-17-asgr-3-1-data-visualization/</guid><description>1 TL;DR 2 Introduction 3 Setup 4 ggplot2 basics 5 aesthetic customization 5.1 titles/labels 5.2 fill 5.3 colour/color 5.4 reordering factors 5.5 colour palettes 5.6 colourblind-friendly palettes 5.7 size 5.8 shape 5.9 linetype 5.10 alpha (transparency/opacity) 5.11 jittering to reduce overplotting 5.12 coordinates 5.12.1 coord_flip() 5.12.2 coord_cartesian() 5.13 guides (legends) 5.14 x &amp;amp; y axis modifications 5.14.1 scale_x_continuous()/scale_y_continuous() 5.14.2 scale_x_discrete()/scale_y_discrete() 5.</description></item></channel></rss>