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<p class="MsoNormal">Amanda Armendariz, MSW<o:p></o:p></p>
<p class="MsoNormal">Student Support/Graduate Coordinator<o:p></o:p></p>
<p class="MsoNormal">School of Plant Sciences<o:p></o:p></p>
<p class="MsoNormal">College of Agriculture & Life Sciences<o:p></o:p></p>
<p class="MsoNormal">University of Arizona<o:p></o:p></p>
<p class="MsoNormal">Forbes bldg room 319<o:p></o:p></p>
<p class="MsoNormal">520-621-1219<o:p></o:p></p>
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<p class="MsoNormal"><b>From:</b> Oliver, Jeffrey C - (jcoliver) <jcoliver@arizona.edu>
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<b>Sent:</b> Tuesday, November 1, 2022 5:38 PM<br>
<b>To:</b> Armendariz, Amanda - (amandao) <amandao@arizona.edu><br>
<b>Subject:</b> Workshop: Using interactive data visualization to make sense of large datasets<o:p></o:p></p>
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<p class="MsoNormal" style="background:white"><span class="xxxelementtoproof"><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:black;background:white">Hi Amanda,</span></span><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" style="background:white"><span class="xxxelementtoproof"><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:black;background:white">Would you mind sharing this announcement with graduate students in Plant Sciences? Please
let me know if you have any questions.</span></span><span class="xxelementtoproof"><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:black;background:white">
</span></span><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" style="background:white"><b><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:black">Using interactive data visualization to make sense of large datasets</span></b><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" style="background:white"><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:black">Date: Friday, November 18, 2022
<o:p></o:p></span></p>
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<p class="MsoNormal" style="background:white"><span class="xcontentpasted0"><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:black">Time:</span></span><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:black"> 3:00pm
- 4:00pm<o:p></o:p></span></p>
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<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:black">Location: Virtual<o:p></o:p></span></p>
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<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:black">Register:
<a href="https://libcal.library.arizona.edu/event/9824650" target="_blank">https://libcal.library.arizona.edu/event/9824650</a><o:p></o:p></span></p>
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<p class="MsoNormal" style="background:white"><b><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:black">Description</span></b><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" style="background:white"><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:black">As sensor technology improves, data volumes grow. We now live in a sea of data collected by our phones, smartwatches, and home assistants
like Alexa. Science is not any different, new sensors are enabling the collection of large datasets that can be mined for new scientific discoveries. In plant science, sensor technology is being applied to study how plants grow under drought conditions. This
workshop will introduce you to common data wrangling Python packages: Pandas allows us to interact with data related to plant growth, while Plotly Express allows us to generate interactive visualizations to make sense of these data. You will learn how to open
data, filter data, slice data, and generate informative interactive visualizations from large datasets. Knowing how to handle and make sense of data will be increasingly important, and this workshop is your first step towards that!
<o:p></o:p></span></p>
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<p class="MsoNormal" style="background:white"><b><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:black">Required experience & hardware</span></b><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" style="background:white"><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:black">This workshop is aimed at anyone who is learning to code or advanced coders with little experience in data visualization. Command line
and/or programming experience in Python is helpful, but not required. A computer with internet access is necessary to join the workshop and access the learning materials.<o:p></o:p></span></p>
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<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:black">This workshop is part of the University Libraries' Digital Scholarship & Data Science Fellowship program. You can find out more about
the program and other workshops being offered through the series at <a href="https://data.library.arizona.edu/data-science/ds2f" target="_blank">
https://data.library.arizona.edu/data-science/ds2f</a>. If you have questions about the program, please e-mail Jeff Oliver (<a href="mailto:jcoliver@arizona.edu">jcoliver@arizona.edu</a>).
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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;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;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">
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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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