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TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20260308T030000
TZOFFSETFROM:-0600
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DTSTART:20261101T010000
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260824T181053
UID:223672@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20261030T100000
DTEND;TZID=America/Chicago:20261030T120000
DESCRIPTION:Recreating folder structures\, setting up metadata\, managing p
 aths\, and adapting the same code to run in slightly different contexts ta
 kes time. The R package\, toolero is here to help! This code-along worksho
 p will help you automate common setup steps to build reproducible workflow
 s at the start of your project.\n\nPrerequisite: working knowledge of R\, 
 RStudio\, and familiarity with the dplyr and ggplot2 packages is helpful.\
 n\nRegister: go.wisc.edu/4dye27\n\nCONTACT: heather.shimon@wisc.edu\n\nURL
 : https://www.library.wisc.edu/steenbock/2026/08/18/learn-how-to-analyze-d
 ata-using-python-and-or-r-programming-languages/
LOCATION:Online\, connection information will be sent in advance
SUMMARY:R Programming 5: Reproducible Workflows with toolero (online)
URL;VALUE=URI:https://www.library.wisc.edu/steenbock/2026/08/18/learn-how-t
 o-analyze-data-using-python-and-or-r-programming-languages/
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