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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20260308T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:CDT
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BEGIN:STANDARD
DTSTART:20261101T010000
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:CST
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260824T192345
UID:223669@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20261002T100000
DTEND;TZID=America/Chicago:20261002T120000
DESCRIPTION:Data is rarely perfect out of the box. This code-along workshop
  will cover how to manipulate datasets using an R package called dplyr. Af
 ter this session\, you will be able to select rows and columns\, add new c
 olumns\, remove missing data\, and create summary tables of your data.\n\n
 Prerequisite: basic working knowledge of R and RStudio (e.g.\, functions\,
  operators\, data types) is helpful.\n\nRegister: go.wisc.edu/6qux10\n\nCO
 NTACT: heather.shimon@wisc.edu\n\nURL: https://www.library.wisc.edu/steenb
 ock/2026/08/18/learn-how-to-analyze-data-using-python-and-or-r-programming
 -languages/
LOCATION:Online\, connection information will be sent in advance
SUMMARY:R Programming 2: Data Wrangling for Research Projects (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/
END:VEVENT
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