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<p class="contentpasted0" style="background:white"><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:black">-----<o:p></o:p></span></p>
<p class="contentpasted0" style="background:white"><em><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:black">All sessions will be 9-11 am (MST) on Tuesday</span></em><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:black">.
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">Main Library</a> and running a concurrent Zoom session at
<a href="https://arizona.zoom.us/j/437855363">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">R and RStudio installed</a>.
<o:p></o:p></span></p>
<ul type="disc">
<li class="contentpasted0" style="color:black;mso-list:l1 level1 lfo1;background:white">
<span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif">November 01: <strong>
<span style="font-family:"Segoe UI",sans-serif">Data science: more fun, less pain with tidyverse</span></strong>: R is a powerful language for managing, analyzing, and visualizing complex data. However, some of the commands in R are esoteric or just plain confusing.
The tidyverse (<a href="https://www.tidyverse.org/">https://www.tidyverse.org/</a>) package for R includes several helpful functions that make it easier to manipulate, summarize, and visualize your data. In this lesson we’ll use these functions to create plots
from summary statistics.<o:p></o:p></span></li><li class="contentpasted0" style="color:black;mso-list:l1 level1 lfo1;background:white">
<span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif">November 08: <strong>
<span style="font-family:"Segoe UI",sans-serif">Open R lab</span></strong>: Bring your R questions or just come in to write some code.<o:p></o:p></span></li><li class="contentpasted0" style="color:black;mso-list:l1 level1 lfo1;background:white">
<span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif">November 15: <strong>
<span style="font-family:"Segoe UI",sans-serif">Creating maps with data from the OpenStreetMap project</span></strong>: OpenStreetMap is a source of several geographic data that you can use for analysis and visualization. The package osmdata allows you to work
with those data through R. In this workshop, we will use osmdata and associated package to investigate OpenStreetMap data and use them for geographical visualization.<o:p></o:p></span></li><li class="contentpasted0" style="color:black;mso-list:l1 level1 lfo1;background:white">
<span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif">November 22: <strong>
<span style="font-family:"Segoe UI",sans-serif">Open R lab</span></strong>.<o:p></o:p></span></li><li class="contentpasted0" style="color:black;mso-list:l1 level1 lfo1;background:white">
<span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif">November 29: <strong>
<span style="font-family:"Segoe UI",sans-serif">Dynamic reports with knitr</span></strong>: What if there was a way to include text and all the code we used for our analyses in a single document? What about a report that includes not only data visualization,
but the actual code used to produce those visualizations? With <em><span style="font-family:"Segoe UI",sans-serif">RMarkdown</span></em> and the knitr package, we write text and code in a single document - this way, we can update reports and manuscripts with
new data or corrections with minimal effort.<o:p></o:p></span></li></ul>
<p class="contentpasted0" style="margin:0in;background:white"><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:black">Additional resources:<o:p></o:p></span></p>
<ul type="disc">
<li class="contentpasted0" style="color:black;mso-list:l0 level1 lfo2;background:white">
<span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif">A tentative schedule of upcoming workshops is also available at
<a href="https://jcoliver.github.io/learn-r/schedule">https://jcoliver.github.io/learn-r/schedule</a><o:p></o:p></span></li><li class="contentpasted0" style="color:black;mso-list:l0 level1 lfo2;background:white">
<span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif">Even more data science events can be found on the Data Science Institute’s events calendar at
<a href="https://datascience.arizona.edu/calendar">https://datascience.arizona.edu/calendar</a><o:p></o:p></span></li><li class="contentpasted0" style="color:black;mso-list:l0 level1 lfo2;background:white">
<span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif">Want more help? Sign up for the UA Data Science Slack workspace at
<a href="https://jcoliver.github.io/uadatascience-slack/">https://jcoliver.github.io/uadatascience-slack/</a><o:p></o:p></span></li><li class="contentpasted0" style="color:black;mso-list:l0 level1 lfo2;background:white">
<span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif">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">https://list.arizona.edu/sympa/subscribe/ruaz</a><o:p></o:p></span></li><li class="contentpasted0" style="color:black;mso-list:l0 level1 lfo2;background:white">
<span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif">If you cannot make it to the R session or just want more R, check out former
<a href="http://datascience.arizona.edu/ambassadors">Data Science Ambassador</a> Kelsey Gonzalez’s lessons on YouTube at
<a href="https://www.youtube.com/playlist?list=PL6FsZxVq54ERrlMRNE5aq2qUFH042fbuM">
https://www.youtube.com/playlist?list=PL6FsZxVq54ERrlMRNE5aq2qUFH042fbuM</a>.<o:p></o:p></span></li></ul>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:black"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:black"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:black">Cheers,</span><span style="font-size:12.0pt;color:black"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;color:black"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:black">Jeff</span><span style="font-size:12.0pt;color:black"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;color:black"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Verdana",sans-serif;color:black"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:#002451">Jeffrey C. Oliver, Ph.D (he/him/his)</span><span style="font-size:12.0pt;font-family:"Verdana",sans-serif;color:black">
<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Segoe UI",sans-serif;color:#002451">Data Science Specialist</span><span style="font-size:12.0pt;color:black"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Segoe UI",sans-serif;color:#002451"><a href="https://data.library.arizona.edu/" title="https://data.library.arizona.edu/">Data Cooperative</a></span><span style="font-size:12.0pt;color:black"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Segoe UI",sans-serif;color:#002451">Research Engagement, University Libraries</span><span style="font-size:12.0pt;color:black"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Segoe UI",sans-serif;color:#002451">University of Arizona</span><span style="font-size:12.0pt;color:black"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Segoe UI",sans-serif;color:#002451">Tucson, AZ 85724-5079</span><span style="font-size:12.0pt;color:black"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Segoe UI",sans-serif;color:#002451">GitHub
</span><span style="font-size:12.0pt;font-family:"Palatino Linotype",serif;color:#003366"><a href="https://github.com/jcoliver" title="https://github.com/jcoliver"><span style="font-size:10.0pt;font-family:"Segoe UI",sans-serif;color:#002451">jcoliver</span></a></span><span style="font-size:12.0pt;color:black"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Segoe UI",sans-serif;color:#002451">ORCID
</span><span style="font-size:12.0pt;font-family:"Palatino Linotype",serif;color:#003366"><a href="https://orcid.org/0000-0003-2160-1086" title="https://orcid.org/0000-0003-2160-1086"><span style="font-size:10.0pt;font-family:"Segoe UI",sans-serif;color:#002451">0000-0003-2160-1086</span></a></span><span style="font-size:12.0pt;color:black"><o:p></o:p></span></p>
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