<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>seaborn on Coornail&#39;s Thoughts</title>
    <link>https://coornail.net/tags/seaborn/</link>
    <description>Recent content in seaborn on Coornail&#39;s Thoughts</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>en-us</language>
    <lastBuildDate>Sat, 19 Feb 2022 01:41:56 +0000</lastBuildDate><atom:link href="https://coornail.net/tags/seaborn/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Analyzing Bearable data export with Python - Part 2</title>
      <link>https://coornail.net/2022/02/analyzing-bearable-data-export-with-python-part-2/</link>
      <pubDate>Sat, 19 Feb 2022 01:41:56 +0000</pubDate>
      
      <guid>https://coornail.net/2022/02/analyzing-bearable-data-export-with-python-part-2/</guid>
      <description>In the previous section we looked at how to build basic plots of your bearable data in python. Today we are going to check out correlations between factors, just like we did in R.</description>
    </item>
    
  </channel>
</rss>
