<div dir="ltr"><div class="gmail_quote"><div class="msg574110288782413221"><div dir="ltr"><div><font size="4">Hi All,</font></div><div><font size="4"><br></font></div><div><font size="4">Please see information below about upcoming R labs.</font></div><div><br>
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<em>All sessions will be 9-11 am (MST) on Tuesday</em>. Sessions will be offered in hybrid format: we will be in the Data Studios of the
<a href="https://new.library.arizona.edu/visit/spaces/data-studio" id="m_462676025271695710OWAff4febb0-84d7-c1c2-9fba-4fe438dbbd97" target="_blank">
Main Library</a> and running a concurrent Zoom session at <a href="https://arizona.zoom.us/j/437855363" id="m_462676025271695710OWAca51a03a-4c2c-f52f-79c0-dc3812b88f28" target="_blank">
https://arizona.zoom.us/j/437855363</a>. To get the most out of these workshops, participants should bring a laptop with
<a href="https://jcoliver.github.io/learn-r/000-setup-instructions.html" id="m_462676025271695710OWAa3f801f2-eeaf-0a7e-ba7e-b58768008e2b" target="_blank">
R and RStudio installed</a>. </p>
<ul style="color:rgb(0,0,0);font-family:"Segoe UI","Segoe UI Web (West European)","Helvetica Neue",sans-serif;font-size:12pt">
<li>October 03: <strong>Introduction to data visualization with ggplot</strong>: Want to take your data visualizations to the next level? Heard about ggplot but afraid to try? In this hands-on workshop we’ll introduce
the ggplot package and get started on producing publication-quality graphics.</li><li>October 10: <strong>Open R lab</strong>: Bring your R questions or just come in to write some code.</li><li>October 17: <strong>
</strong><strong>Open R lab</strong>.</li><li>October 24: <strong>Open R lab</strong>.</li><li>October 31: <strong>Heatmaps & data wrangling</strong>: Heatmaps are a great way of displaying three-dimensional data in only two dimensions. But how can we easily translate tabular data into a format for heatmap
plotting? By taking advantage of “data munging” and graphics packages, heatmaps are relatively easy to produce in R.</li></ul>
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Additional resources:</p>
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<li>A tentative schedule of upcoming sessions is also available at
<a href="https://jcoliver.github.io/learn-r/schedule" id="m_462676025271695710OWA6abbcecd-e3c8-885f-5926-b60df588a430" target="_blank">
https://jcoliver.github.io/learn-r/schedule</a></li><li>Even more data science events can be found on the Data Science Institute’s events calendar at
<a href="https://datascience.arizona.edu/calendar" id="m_462676025271695710OWA15706db1-2507-a0ea-660e-2664c5fba972" target="_blank">
https://datascience.arizona.edu/calendar</a></li><li>Want more help? Sign up for the UA Data Science Slack workspace at
<a href="https://jcoliver.github.io/uadatascience-slack/" id="m_462676025271695710OWAc7149a11-fda3-a217-f6b3-183a9681700b" target="_blank">
https://jcoliver.github.io/uadatascience-slack/</a></li><li>Stay up to date with R workshops by signing up for the University of Arizona R Users mailing list at
<a href="https://list.arizona.edu/sympa/subscribe/ruaz" id="m_462676025271695710OWAead023ba-ad41-d6e8-2dfa-738e56611f90" target="_blank">
https://list.arizona.edu/sympa/subscribe/ruaz</a></li><li>If you cannot make it to the R session or just want more R, check out former
<a href="http://datascience.arizona.edu/ambassadors" id="m_462676025271695710OWA8ab1af91-e174-8196-9628-0ca8903b56fd" target="_blank">
Data Science Ambassador</a> Kelsey Gonzalez’s lessons on YouTube at <a href="https://www.youtube.com/playlist?list=PL6FsZxVq54ERrlMRNE5aq2qUFH042fbuM" id="m_462676025271695710OWA9a1261cb-b01c-3c7e-1408-ea92577520a3" target="_blank">
https://www.youtube.com/playlist?list=PL6FsZxVq54ERrlMRNE5aq2qUFH042fbuM</a>.</li></ul>
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