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    <title>rcorpora on Maëlle Salmon&#39;s personal website</title>
    <link>https://masalmon.eu/tags/rcorpora/</link>
    <description>Recent content in rcorpora on Maëlle Salmon&#39;s personal website</description>
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    <copyright>Licence: &lt;a href=&#34;https://creativecommons.org/licenses/by-sa/2.0/&#34;&gt;CC BY-SA&lt;/a&gt;</copyright>
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      <title>Bad Stock Photos of My Job? Data Science on Pexels</title>
      <link>https://masalmon.eu/2018/05/06/dsstock/</link>
      <pubDate>Sun, 06 May 2018 00:00:00 +0000</pubDate>
      
      <guid>https://masalmon.eu/2018/05/06/dsstock/</guid>
      <description>&lt;p&gt;I couldn&amp;rsquo;t miss the fun Twitter hashtag &lt;a href=&#34;https://twitter.com/hashtag/BadStockPhotosOfMyJob?src=hash&#34;&gt;#BadStockPhotosOfMyJob&lt;/a&gt; thanks to a &lt;a href=&#34;https://twitter.com/juliasilge/status/992952211201130497&#34;&gt;tweet by Julia Silge&lt;/a&gt;  and &lt;a href=&#34;https://twitter.com/_ColinFay/status/993055416266436608&#34;&gt;another one by Colin Fay&lt;/a&gt;. The latter inspired me to actually go and look for what makes a data science photo&amp;hellip; What characterizes &amp;ldquo;data science&amp;rdquo; stock photos?&lt;/p&gt;</description>
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    <item>
      <title>Galentine&#39;s day cards</title>
      <link>https://masalmon.eu/2018/01/26/galentinesday/</link>
      <pubDate>Fri, 26 Jan 2018 00:00:00 +0000</pubDate>
      
      <guid>https://masalmon.eu/2018/01/26/galentinesday/</guid>
      <description>&lt;p&gt;Remember the &lt;a href=&#34;https://masalmon.eu/2017/11/05/newborn-serie/&#34;&gt;nascent series of blog posts about Parks and recreation&lt;/a&gt;? Well, we&amp;rsquo;re still at one post, but don&amp;rsquo;t worry, here is a new one, and I&amp;rsquo;m sure the series will eventually be a real one. I&amp;rsquo;m looking at you, my R-Ladies friends. That said, today is not a day for passive agressive hints, because I&amp;rsquo;ve decided it&amp;rsquo;s &lt;a href=&#34;https://en.wikipedia.org/wiki/Galentine%27s_Day&#34;&gt;Galentine&amp;rsquo;s day&lt;/a&gt; and I&amp;rsquo;ll show you how to craft cards for your R-Ladies friends from your R prompt!&lt;/p&gt;</description>
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    <item>
      <title>The Guardian Experience: heavy or light topics?</title>
      <link>https://masalmon.eu/2017/10/02/guardian-experience/</link>
      <pubDate>Mon, 02 Oct 2017 00:00:00 +0000</pubDate>
      
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      <description>&lt;p&gt;I&amp;rsquo;ve recently been binge-reading The Guardian Experience columns. I&amp;rsquo;m a big fan of The Guardian life and style section regulars: the &lt;a href=&#34;https://www.theguardian.com/lifeandstyle/series/blind-date&#34;&gt;blind dates&lt;/a&gt; to which I dedicated &lt;a href=&#34;https://masalmon.eu/2017/03/07/blinddates/&#34;&gt;a blog post&lt;/a&gt;, Oliver Burkeman&amp;rsquo;s &lt;a href=&#34;https://www.theguardian.com/lifeandstyle/series/thiscolumnwillchangeyourlife&#34;&gt;This column will change your life&lt;/a&gt;, etc. &lt;a href=&#34;https://www.theguardian.com/lifeandstyle/series/experience&#34;&gt;Experience&lt;/a&gt; is another regular that I enjoy a lot. In each of the column, someone tells something remarkable that happened to them. It can really be anything.&lt;/p&gt;
&lt;p&gt;I was thinking of maybe scraping the titles and get a sense of most common topics. The final push was my husband&amp;rsquo;s telling me about &lt;a href=&#34;https://www.thecut.com/2017/09/10-best-guardian-experience-columns.html&#34;&gt;this article&lt;/a&gt; of
Gabriella Paiella&amp;rsquo;s about the best Guardian Experience columns. She wrote &amp;ldquo;the “Experience” column does often touch on heavier topics&amp;rdquo;. Can one know what is the most prevalent &amp;ldquo;weight&amp;rdquo; of Experience columns scraping all their titles?&lt;/p&gt;</description>
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    <item>
      <title>Hundreds of Guardian blind dates</title>
      <link>https://masalmon.eu/2017/03/07/blinddates/</link>
      <pubDate>Tue, 07 Mar 2017 00:00:00 +0000</pubDate>
      
      <guid>https://masalmon.eu/2017/03/07/blinddates/</guid>
      <description>&lt;p&gt;One of my more or less guilty pleasures is reading &lt;a href=&#34;https://www.theguardian.com/lifeandstyle/series/blind-date&#34;&gt;The Guardian blind date&lt;/a&gt; each week. I think I started doing this when living in Cambridge, England for five months. I would buy &lt;a href=&#34;https://en.wikipedia.org/wiki/I_(newspaper)&#34;&gt;i&lt;/a&gt; every weekday and The Guardian week-end every week-end. I wasn&amp;rsquo;t even dating at the time I discovered The Guardian blind dates but I&amp;rsquo;ve always liked their format.&lt;/p&gt;
&lt;p&gt;I get so much into each date report that seeing both participants say they want to meet again makes me ridiculously happy. I like wondering how matches were made, but today I just want to look into the contents of post-date interviews.&lt;/p&gt;</description>
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    <item>
      <title>A glance at R-bloggers Twitter feed</title>
      <link>https://masalmon.eu/2017/02/28/rbloggerstweets/</link>
      <pubDate>Tue, 28 Feb 2017 00:00:00 +0000</pubDate>
      
      <guid>https://masalmon.eu/2017/02/28/rbloggerstweets/</guid>
      <description>&lt;p&gt;It&amp;rsquo;s the second time I write a post about the blog aggregator R-bloggers, probably because I&amp;rsquo;m all about R blogs now that I have one. My husband says my posts are so meta. My first post was about &lt;a href=&#34;https://masalmon.eu/2017/01/29/rbloggersnames/&#34;&gt;R blogs names&lt;/a&gt;, in this one I shall focus on the last 1,000 tweets from R-bloggers.&lt;/p&gt;</description>
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    <item>
      <title>Who were the notable dead of Wikipedia?</title>
      <link>https://masalmon.eu/2017/02/12/wikideaths2_population/</link>
      <pubDate>Sun, 12 Feb 2017 00:00:00 +0000</pubDate>
      
      <guid>https://masalmon.eu/2017/02/12/wikideaths2_population/</guid>
      <description>&lt;p&gt;As described &lt;a href=&#34;https://masalmon.eu/2017/02/12/wikideaths3_scraping/&#34;&gt;in my last post&lt;/a&gt;, I extracted all notable deaths from Wikipedia over the 2004-2016 period. In this post I want to explore this study population. Who were the notable dead?&lt;/p&gt;</description>
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    <item>
      <title>The animals of #actuallivingscientists</title>
      <link>https://masalmon.eu/2017/02/05/actuallivingscientists/</link>
      <pubDate>Sun, 05 Feb 2017 00:00:00 +0000</pubDate>
      
      <guid>https://masalmon.eu/2017/02/05/actuallivingscientists/</guid>
      <description>&lt;p&gt;These last days a trending Twitter hashtag was &amp;ldquo;#actuallivingscientist&amp;rdquo;, whose origin can be find in &lt;a href=&#34;https://twitter.com/darthmom7/status/827268431799922688?ref_src=twsrc%5Etfw&#34;&gt;this convo&lt;/a&gt; and whose original goal was to allow scientists to present themselves to everyone, a sort of #scicomm action. A great initiative, because we need science and we need everyone to know how it&amp;rsquo;s done, by actual human beings.&lt;/p&gt;
&lt;p&gt;I didn&amp;rsquo;t tweet with the hashtag, but I consider myself a scientist with more or less experience &lt;a href=&#34;https://masalmon.eu/bio/&#34;&gt;in different fields&lt;/a&gt; &amp;ndash; and &lt;a href=&#34;https://masalmon.eu/2017/02/03/chemist/&#34;&gt;my last post&lt;/a&gt; was about the scientist I married. In my timeline thanks to &lt;a href=&#34;https://twitter.com/RallidaeRule&#34;&gt;Auriel Fournier&lt;/a&gt; there were many tweets of ecologists studying animals. I&amp;rsquo;d like to say &lt;em&gt;cute&lt;/em&gt; animals but some were carcasses&amp;hellip; But still, it made me want to quantify which animals were the most present in the tweets. Any bet?&lt;/p&gt;</description>
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