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  <author_name>cross_hyou</author_name>
  <author_url>https://blog.hatena.ne.jp/cross_hyou/</author_url>
  <blog_title>Rで何かをしたり、読書をするブログ</blog_title>
  <blog_url>https://www.crosshyou.info/</blog_url>
  <categories>
    <anon>Data_Analysis</anon>
  </categories>
  <description>Photo by henry perks on Unsplash www.crosshyou.info This post is following of above post. I load Unenployment rate data. I get this data from OECD we site. Then, I filter only year == 2019. Next, I will merge df4 data frame and unem_2019 data frame with merge() function. let's see how unemployment d…</description>
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  <image_url>https://cdn-ak.f.st-hatena.com/images/fotolife/c/cross_hyou/20220503/20220503190257.jpg</image_url>
  <provider_name>Hatena Blog</provider_name>
  <provider_url>https://hatena.blog</provider_url>
  <published>2022-05-04 07:09:21</published>
  <title>OECD Discriminatory family code data analysis 7 - Adding Unemployment data to linear regression and using stargazer() function to compare regression models.</title>
  <type>rich</type>
  <url>https://www.crosshyou.info/entry/2022/05/04/070921</url>
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