<?xml version="1.0" encoding="utf-8" standalone="yes" ?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Spreadsheets on rostrum.blog</title>
    <link>https://www.rostrum.blog/tags/spreadsheets/</link>
    <description>Recent content in Spreadsheets on rostrum.blog</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>en-gb</language>
    <lastBuildDate>Wed, 07 Sep 2022 00:00:00 +0000</lastBuildDate>
    
	<atom:link href="https://www.rostrum.blog/tags/spreadsheets/index.xml" rel="self" type="application/rss+xml" />
    
    
    <item>
      <title>EARL 22: {a11ytables} for better spreadsheets</title>
      <link>https://www.rostrum.blog/2022/09/07/earl22/</link>
      <pubDate>Wed, 07 Sep 2022 00:00:00 +0000</pubDate>
      
      <guid>https://www.rostrum.blog/2022/09/07/earl22/</guid>
      <description>Please don’t sue me for my fan art, Microsoft.  tl;dr I presented some slides at the EARL 2022 conference about {a11ytables}: an R package that helps automate the production of reproducible and accessible spreadsheets, with a focus on publication of government statistics.
 Counting sheets The UK government publishes a lot of spreadsheets that contain statistical tables. Compared to each other—and to themselves over time—these files are often:
 inconsistent in structure (e.</description>
    </item>
    
  </channel>
</rss>