<?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 gabi cavalcante</title><link>https://gabicavalcante.dev/tags/data-visualization/</link><description>Recent content in data-visualization on gabi cavalcante</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 15 Aug 2020 00:00:00 +0000</lastBuildDate><atom:link href="https://gabicavalcante.dev/tags/data-visualization/index.xml" rel="self" type="application/rss+xml"/><item><title>A guide to setting up seaborn FacetGrid and relplot charts</title><link>https://gabicavalcante.dev/posts/matplotlib-seaborn-relplot/</link><pubDate>Sat, 15 Aug 2020 00:00:00 +0000</pubDate><guid>https://gabicavalcante.dev/posts/matplotlib-seaborn-relplot/</guid><description>&lt;p&gt;Using seaborn and matplotlib to make great plots isn’t easy. I had been looking on the internet for complete tutorials on how to set up a good plot, but I only found small pieces of code. So here are a few tips for plotting data with the Google Global Mobility Report and matplotlib.&lt;/p&gt;</description></item></channel></rss>