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DTSTART:20260609T160000Z
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SUMMARY:Data & Viz Drop-in
DESCRIPTION:The Data & Viz Drop-in: your one-stop-shop for R\, Python\, 
 Data Management and Data Visualization help\n\nNeed help with your R 
 scripts? Want to tell your data story graphically? Need help with managing 
 your data? Meet with the Data Cooperative Specialists to get help with your 
 data needs on Tuesdays\, 9-11 AM\, with in person sessions at CATalyst 
 Studios in the Main Library or virtually when available.  \n\nLearn more 
 about Data Cooperative here.\n\nLearn more about Research Computing's Data 
 Visualization here.\n\n\nThe Data Cooperative Specialists are available 
 Tuesdays 9-11 AM:\n\n \n\nR & Python Programming\n\nSpecialist: Jeff 
 Oliver\n\nWhat we can help with: learning how to debug your code\, 
 wrangling data\n\nHow to connect: Hybrid Open Lab Alternates with Workshop 
 Schedule (view schedule)\n\n \n\nGeospatial Data\n\nSpecialist: Garrett 
 Smith\n\nWhat we can help with: Finding geospatial data\, learning 
 geospatial data software such as ArcGIS and QGIS\n\nHow to connect: In 
 person. Drop in. No appointment needed\n\n \n\nData 
 Management\n\nSpecialist: Fernando Rios\n\nWhat we can help with: file 
 clean up and organization\, data management plans\, data sharing & 
 publishing\n\nHow to connect: Virtual Only. Drop in on Zoom (link)\n\n 
 \n\nData Visualization\n\nSpecialist: Devin Bayly\n\nWhat we can help with: 
 telling your data story\, building web-native animations\n\nHow to connect: 
 In person. Drop in. No appointment needed. For joining virtually\, please 
 e-mail Devin or Jeff for connection details.\n\n
LOCATION:Main B201 - Data Studio CATalyst\, Research Engagement
ORGANIZER;CN="Jeffrey Oliver":MAILTO:jcoliver@arizona.edu
CATEGORIES:Drop-In Events, Workshops
CONTACT;CN="Jeffrey Oliver":MAILTO:jcoliver@arizona.edu
STATUS:CONFIRMED
UID:LibCal-15844624
URL:https://libcal.library.arizona.edu/calendar/events/data-viz-drop-in-2026
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