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Aditya Dahiya<p>My Solutions Manual for book ggplot2: Elegant Graphics for Data Analysis (3e) by <span class="h-card" translate="no"><a href="https://hachyderm.io/@djnavarro" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>djnavarro</span></a></span>, <span class="h-card" translate="no"><a href="https://fosstodon.org/@hadleywickham" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>hadleywickham</span></a></span> and <span class="h-card" translate="no"><a href="https://genart.social/@thomasp85" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>thomasp85</span></a></span> at🔗<a href="https://aditya-dahiya.github.io/ggplot2book3e/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">aditya-dahiya.github.io/ggplot</span><span class="invisible">2book3e/</span></a> </p><p>Free code, solutions &amp; extensions for <a href="https://mastodon.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggplot2</span></a> &amp; <a href="https://mastodon.social/tags/gganimate" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gganimate</span></a>! Made completely using only <a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a>, <span class="h-card" translate="no"><a href="https://fosstodon.org/@Posit" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>Posit</span></a></span>.</p><p><a href="https://mastodon.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataviz</span></a> <a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> <a href="https://mastodon.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a><br>Original book credits: Springer Publications.</p>
Louise Sinks<p>Inspired by <span class="h-card"><a href="https://fosstodon.org/@nrennie" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>nrennie</span></a></span> <a href="https://fosstodon.org/tags/tidytuesday" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidytuesday</span></a> entry, I decided to learn how to make animated gifs. I chose to use the <a href="https://fosstodon.org/tags/gganimate" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gganimate</span></a> package. Code and narrative and animations at <br><a href="https://lsinks.github.io/posts/2023-07-11-tidytuesday-temps/temperatures.html" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">lsinks.github.io/posts/2023-07</span><span class="invisible">-11-tidytuesday-temps/temperatures.html</span></a></p>
Matthew Kay<p>Finally, I've tried to ensure compatibility with other packages, like <a href="https://fediscience.org/tags/gganimate" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gganimate</span></a> and <a href="https://fediscience.org/tags/ggnewscale" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggnewscale</span></a>. Here's the gganimate gapminder example using a multiply blend.</p>
Blandine Le Cain<p>Sur ce sujet, une question en particulier : comment représenter visuellement la répartition entre continents en se détachant un peu de la géographie, sans la perdre ? Ce qui a donné, à gauche, une infographie réalisée avec Illustrator par notre service infographie. A droite, une version animée réalisée grâce au package assez magique {cartogram} <a href="https://mastodon.social/tags/cartogram" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cartogram</span></a> <a href="https://mastodon.social/tags/gganimate" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gganimate</span></a> [3/8]</p>
Loki<p>A well-crafted animation tells more than a thousand words 🎥 . Using <a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> <a href="https://mastodon.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggplot2</span></a> and <a href="https://mastodon.social/tags/gganimate" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gganimate</span></a> to understand the incremental performance gain (and saturation) of ensemble regressors. <a href="https://mastodon.social/tags/randomforest" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>randomForest</span></a> <a href="https://mastodon.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> 💻 🧠</p>