R guide edit

Author: DanOlner

.DS_Store

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+    "markdown": "---\ntitle: \"Translating Felten et al's AI exposure index into UK data\"\nauthor: \"Dan Olner\"\ndate: \"2025-12-09\"\ncategories: [data]\nexecute:\n  echo: false\n  warning: false\n  error: false\n---\n\n\n::: {.cell}\n\n:::\n\n\n\n## Felten UK\n\nI always try to have a fully open data/methods pipeline, so it's possible to replicate what I've done (even it's just -futur-eme doing the replicating). Sometimes, though, you have to go off-piste and do some \"actually typing into a spreadsheet manually\". This is one of those cases.\n\n",
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@@ -9,8 +9,30 @@
 <link>https://danolner.github.io/</link>
 <atom:link href="https://danolner.github.io/index.xml" rel="self" type="application/rss+xml"/>
 <description>Dan Olner&#39;s Data Dispatch</description>
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+<item>
+  <title>Translating Felten et al’s AI exposure index into UK data</title>
+  <dc:creator>Dan Olner</dc:creator>
+  <link>https://danolner.github.io/posts/Felten_UK/</link>
+  <description><![CDATA[ 
+
+
+
+
+
+<section id="felten-uk" class="level2">
+<h2 class="anchored" data-anchor-id="felten-uk">Felten UK</h2>
+<p>I always try to have a fully open data/methods pipeline, so it’s possible to replicate what I’ve done (even it’s just -futur-eme doing the replicating). Sometimes, though, you have to go off-piste and do some “actually typing into a spreadsheet manually”. This is one of those cases.</p>
+
+
+</section>
+
+ ]]></description>
+  <category>data</category>
+  <guid>https://danolner.github.io/posts/Felten_UK/</guid>
+  <pubDate>Tue, 09 Dec 2025 00:00:00 GMT</pubDate>
+</item>
 <item>
   <title>Getting started with using R and RStudio (in the cloud or on your own computer)</title>
   <dc:creator>Dan Olner</dc:creator>
@@ -23,10 +45,10 @@
 
 <section id="using-r-and-rstudio-1-posit.cloud-in-the-browser-or-2-running-on-your-own-computer" class="level2">
 <h2 class="anchored" data-anchor-id="using-r-and-rstudio-1-posit.cloud-in-the-browser-or-2-running-on-your-own-computer">Using R and RStudio: (1) posit.cloud in the browser, or (2) running on your own computer</h2>
-<p>I’m running an “R + regional economic data” taster session in June. It won’t be necessary to use R during the session to follow along - <strong>but if you want to have a go at running the code I’ll be talking through and don’t yet have R/RStudio, here’s how to get quickly set up</strong>, either online through a browser, or with R and RStudio installed on your own computer<sup>1</sup>.</p>
-<p>To do this, you’ll need to do <strong>one</strong> of the following:</p>
+<p>This little guide gets you set up with R and RStudio - either online with posit.cloud through a browser, or with R and RStudio installed on your own computer<sup>1</sup> - and talks through opening up a first R script and using it. (If anything doesn’t make sense, do let me know at d dot olner and gmail dot com).</p>
+<p>You’ll need to do <strong>one</strong> of the following:</p>
 <ol type="1">
-<li><p><strong>Use RStudio in your browser with a <a href="https://posit.cloud">posit.cloud account</a></strong>. The <strong>free version</strong> is limited (very small memory, for instance) but <strong>it’s a very quick and easy option to have a play with R</strong> and will be fine for the taster session. <strong>The next section below talks through setting up in posit.cloud.</strong></p></li>
+<li><p><strong>Use RStudio in your browser with a <a href="https://posit.cloud">posit.cloud account</a></strong>. The <strong>free version</strong> is limited (small memory, for instance) but <strong>it’s still a great option for non-intensive task and getting to know R with little effort</strong>. The next section below talks through setting up in posit.cloud.</p></li>
 <li><p><strong>Install R and RStudio on your own computer</strong>. If you have a machine where you’re able to install your own software <a href="https://cran.rstudio.com/">then go here</a> to download/install the right version of R for your operating system, and <a href="https://posit.co/download/rstudio-desktop/">here to download/install RStudio</a> (again, pick the correct one for your OS). (Though see bullet point 2 below if using a work machine.)</p></li>
 </ol>
 <ul>
@@ -39,9 +61,17 @@
 <h2 class="anchored" data-anchor-id="if-using-rstudio-online-set-up-a-posit.cloud-account-and-create-your-rstudio-project">If using RStudio online: set up a posit.cloud account and create your RStudio project</h2>
 <p>Here’s the steps to get up and running through a browser using posit.cloud.</p>
 <ul>
-<li><a href="https://login.posit.cloud/login">Create an account at posit.cloud</a> using the ‘sign up’ box, and then log in. That’ll take you to your online workspace.</li>
-<li>Click the <strong>new project</strong> button, top right</li>
-<li>Select ‘<strong>new project from template</strong>’ (as in the pic below) and then “Data Analysis in R with the tidyverse” (if not already selected). This template comes pre-installed with the tidyverse package, which we’ll be using. Select then click OK down at the bottom. <strong>This will open your RStudio project where we’ll do the coding.</strong></li>
+<li><a href="https://login.posit.cloud/login">Create an account at posit.cloud</a> - follow that link and use the ‘don’t have an account? Sign up’ box. <strong>It’ll ask you to check your email for a verification link</strong>, so do that before proceeding.</li>
+</ul>
+<!-- -->
+<ul>
+<li><p>Once verified, go back to the posit.cloud tab and log in. You should see a message: “You are logged into Posit. Please select your destination”. Choose ‘Posit Cloud’ (<strong>not Posit Connect Cloud</strong>).&nbsp;<strong>That’ll take you to your online workspace.</strong></p></li>
+<li><p>Click the&nbsp;<strong>new project</strong>&nbsp;button, top right</p></li>
+<li><p>Depending on what you want to do, either:</p>
+<ul>
+<li><p>If you want the Tidyverse ready to go (but it’s a slightly older R version): select ‘<strong>new project from template</strong>’ (as in the pic below) and then “Data Analysis in R with the tidyverse” (if not already selected). This template comes pre-installed with the tidyverse package, which we’ll be using. Select then click OK down at the bottom. <strong>This will open your RStudio project where we’ll do the coding. NOTE: if I’m posting examples using posit cloud, I’ll let you know if the older R version is a problem. Mostly it’s fine.</strong></p></li>
+<li><p>Otherwise, just select ‘new RStudio project’ for an entirely blank instance of R where you’ll need to install all libraries (but it’s the latest R version).</p></li>
+</ul></li>
 </ul>
 <p><img src="https://danolner.github.io/posts/setting_up_w_r_online/newproject.png" class="img-fluid"></p>
 </section>
@@ -94,7 +124,7 @@ NOTE: IF USING RSTUDIO ON YOUR OWN COMPUTER…
 </div>
 </div>
 <div class="callout-body-container callout-body">
-<p>We will be using the <strong>tidyverse package/library</strong> in the session. If you’re using posit.cloud, this package comes pre-installed in the template we selected. However, <strong>if you’re using RStudio on your own machine, you will need to install the tidyverse package yourself</strong> before we load it as a library.</p>
+<p>If you’re using posit.cloud, this package comes pre-installed in the template we selected. However, <strong>if you’re using RStudio on your own machine, you will need to install the tidyverse package yourself</strong> if you want to use it (you probably will).</p>
 <p>To do this, just <strong>run the following code in the console</strong> (the same place we just did our ‘2+2’ test, in the bottom left panel in RStudio.)</p>
 <div class="cell">
 <div class="sourceCode cell-code" id="cb5" style="background: #f1f3f5;"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb5-1"><span class="fu" style="color: #4758AB;
@@ -139,18 +169,17 @@ font-style: inherit;">library</span>(tidyverse)</span></code></pre></div>
 <div class="cell-output cell-output-stderr">
 <pre><code>── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
 ✔ dplyr     1.1.4     ✔ readr     2.1.5
-✔ forcats   1.0.0     ✔ stringr   1.5.1
-✔ ggplot2   3.5.0     ✔ tibble    3.2.1
-✔ lubridate 1.9.3     ✔ tidyr     1.3.1
-✔ purrr     1.0.2     
+✔ forcats   1.0.1     ✔ stringr   1.5.2
+✔ ggplot2   4.0.0     ✔ tibble    3.3.0
+✔ lubridate 1.9.4     ✔ tidyr     1.3.1
+✔ purrr     1.1.0     
 ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
-✖ purrr::%||%()   masks base::%||%()
 ✖ dplyr::filter() masks stats::filter()
 ✖ dplyr::lag()    masks stats::lag()
 ℹ Use the conflicted package (&lt;http://conflicted.r-lib.org/&gt;) to force all conflicts to become errors</code></pre>
 </div>
 </div>
-<p><strong>That’s it for now!</strong> That’ll be enough to be set up for the session. Any questions/issues, let me know at d dot older at sheffield dot ac dot uk or <a href="https://www.linkedin.com/in/danolner/">message me on LinkedIn</a>.</p>
+<p><strong>That’s it!</strong> Any questions/issues, let me know at d dot olner at gmail dot com or <a href="https://www.linkedin.com/in/danolner/">message me on LinkedIn</a>.</p>
 
 
 </section>
@@ -298,17 +327,6 @@ font-style: inherit;">library</span>(tidyverse)</span></code></pre></div>
   <guid>https://danolner.github.io/posts/outputs_livelist/</guid>
   <pubDate>Wed, 12 Feb 2025 00:00:00 GMT</pubDate>
 </item>
-<item>
-  <title></title>
-  <dc:creator>Dan Olner</dc:creator>
-  <link>https://danolner.github.io/posts/companies_house_geog/</link>
-  <description><![CDATA[ undefined ]]></description>
-  <category>code</category>
-  <category>firms</category>
-  <category>geo</category>
-  <guid>https://danolner.github.io/posts/companies_house_geog/</guid>
-  <pubDate>Wed, 20 Nov 2024 00:00:00 GMT</pubDate>
-</item>
 <item>
   <title>Open data and code used for ONS subnational data conference</title>
   <dc:creator>Dan Olner</dc:creator>

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