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DTSTART:20231024T160000Z
DTEND:20231024T180000Z
DTSTAMP:20231024T000000Z
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\n \n\nSpecialist: Jeff 
 Oliver\n\n \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\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 follow instructions for R & Python 
 virtual access to also access a Data Viz breakout room (here)\n\n
LOCATION:Main B201 - Data Studio CATalyst\, Research Engagement
ORGANIZER;CN="Jeffrey Oliver":MAILTO:jcoliver@arizona.edu
CATEGORIES:Workshops, Drop-In Events
CONTACT;CN="Jeffrey Oliver":MAILTO:jcoliver@arizona.edu
STATUS:CONFIRMED
UID:LibCal-10712336
URL:https://libcal.library.arizona.edu/calendar/events/data-viz-drop-in-1
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