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    <title>Talk on rostrum.blog</title>
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    <description>Recent content in Talk on rostrum.blog</description>
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      <title>Panic! In The Toolshed</title>
      <link>https://www.rostrum.blog/2023/06/13/panic-in-the-toolshed/</link>
      <pubDate>Tue, 13 Jun 2023 00:00:00 +0000</pubDate>
      
      <guid>https://www.rostrum.blog/2023/06/13/panic-in-the-toolshed/</guid>
      <description>tl;dr I wrote some slides to tell data scientists in the public sector what they already know: share the tools you’ve developed.
 An axe to grind I’m speaking today at an event for UK government data scientists with a theme of ‘the data science toolshed’. My plea is small: I want public sector workers to share the tools they make1.
We should build modular things like R packages that are easy to use and develop; make them available to everyone to minimise duplication and encourage collaboration; and maximise reach by telling everyone about it.</description>
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    <item>
      <title>Fun and learning. In a dungeon.</title>
      <link>https://www.rostrum.blog/2023/03/15/in-a-dungeon/</link>
      <pubDate>Wed, 15 Mar 2023 00:00:00 +0000</pubDate>
      
      <guid>https://www.rostrum.blog/2023/03/15/in-a-dungeon/</guid>
      <description>Learn hard and you too can be a mobile gamedev like me.  tl;dr Today I spoke at a public sector1 event for data scientists2. I said that learning is best when focused into little projects that are fun.
 To the point The abstract sums it up, obviously:
 Ever done a technical training module and then immediately forgot what you learnt? Do you sometimes feel like you’re ticking boxes instead of actually developing your skills?</description>
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      <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>
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    <item>
      <title>londonmapbot at LondonR</title>
      <link>https://www.rostrum.blog/2022/02/12/mapbotr-londonr/</link>
      <pubDate>Sat, 12 Feb 2022 00:00:00 +0000</pubDate>
      
      <guid>https://www.rostrum.blog/2022/02/12/mapbotr-londonr/</guid>
      <description>tl;dr I spoke at a LondonR hootenanny1 (in-person!) about how to create your own simple Twitter bot powered by GitHub Actions and {rtweet}, just like my @londonmapbot creation.
 The mapbotverse I created a Twitter bot called @londonmapbot. It uses the {rtweet} package by Mike Kearney to tweet out a random satellite image of Greater London via Mapbox, scheduled and executed by GitHub Actions.
I’ve written about this before:</description>
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    <item>
      <title>{orderly} and {drake} at Bioinformatics London</title>
      <link>https://www.rostrum.blog/2020/01/31/reprobioinformatics/</link>
      <pubDate>Fri, 31 Jan 2020 00:00:00 +0000</pubDate>
      
      <guid>https://www.rostrum.blog/2020/01/31/reprobioinformatics/</guid>
      <description>REPRODUCIBILITY 4 LYFE (via Bioinformatics London’s Meetup page)  tl;dr I spoke at the latest Bioinformatics London Meetup (event link, Twitter) about workflow reproducibility tools in R. I explained the benefits of Will Landau’s {drake} package for doing this.
 Order, order Rich FitzJohn opened proceedings with an excellent introduction to his {orderly} package (source) that is intended for ‘lightweight reproducible reporting’.
In short, the user declares inputs (anything, including things like SQL queries and CSV files) and artefacts (results) of their analysis.</description>
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    <item>
      <title>Reproducibility in R: three things</title>
      <link>https://www.rostrum.blog/2020/01/22/repro-three-things/</link>
      <pubDate>Wed, 22 Jan 2020 00:00:00 +0000</pubDate>
      
      <guid>https://www.rostrum.blog/2020/01/22/repro-three-things/</guid>
      <description>Avoid being this guy (Threddy the T. rex via Giphy)  Reproducevangelism I spoke at the Department for Education’s Data Science Week. I wanted everyone – newer and more experienced users alike – to learn at least one new thing about reproduciblity with R and RStudio.
The slides are embedded below and you can also get them fullscreen online (press ‘F’ for fullscreen and ‘P’ for presenter notes) and find the source on GitHub.</description>
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    <item>
      <title>Build an R package with {usethis}</title>
      <link>https://www.rostrum.blog/2019/11/01/usethis/</link>
      <pubDate>Fri, 01 Nov 2019 00:00:00 +0000</pubDate>
      
      <guid>https://www.rostrum.blog/2019/11/01/usethis/</guid>
      <description>Ossie, a Cabinet Office cat (via @cabinetofficeuk)  tl;dr  I gave a talk about creating an R package with helper functions from the {usethis} package In the session I created a new package from scratch called {cabinet} for identifying the cats that live in the UK Government’s Cabinet Office See the slides in a dedicated window or view their source See the {cabinet} package source and its website Jump to a list of other materials   Coffee packaging I gave a talk at a Cabinet Office Coffee &amp;amp; Coding session about building R packages from scratch.</description>
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    <item>
      <title>Knitting Club: R Markdown for beginners</title>
      <link>https://www.rostrum.blog/2018/09/24/knitting-club/</link>
      <pubDate>Mon, 24 Sep 2018 00:00:00 +0000</pubDate>
      
      <guid>https://www.rostrum.blog/2018/09/24/knitting-club/</guid>
      <description>Knitting simulator by Kara Stone and Gabby DaRienzo (via Giphy)  tl;dr I made a couple of training resources about R Markdown for reproducibility:
 Knitting Club (see the slides or source) Quick R Markdown (see the slides or source).  Click the resource names to jump straight to those sections.
 Reproducibility It’s often important to recreate and verify prior work, as well as update it in future as data changes.</description>
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    <item>
      <title>EARL 2018: {crosstalk} in memes</title>
      <link>https://www.rostrum.blog/2018/09/12/crosstalk-memes/</link>
      <pubDate>Wed, 12 Sep 2018 00:00:00 +0000</pubDate>
      
      <guid>https://www.rostrum.blog/2018/09/12/crosstalk-memes/</guid>
      <description>EARL 2018 I gave a talk called ‘Crosstalk: Shiny-like without Shiny’1 at the 2018 EARL conference in London.
The {crosstalk} package by Joe Cheng allows htmlwidgets—JavaScript visualisations wrapped in R code—to interact with each other. Filtering the data in widget causes all widgets to be filtered. This can be done inside an R Markdown document (including Flexdashboard) for easy server-less sharing in HTML format.</description>
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