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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20250309T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:CDT
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BEGIN:STANDARD
DTSTART:20241103T010000
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:CST
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260408T223527
UID:203553@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20250214T100000
DTEND;TZID=America/Chicago:20250214T123000
DESCRIPTION:Data is rarely perfect out of the box. This workshop will cover
  how to manipulate datasets using an R package called dplyr. After this se
 ssion\, you will be able to select rows and columns\, add new columns\, re
 move missing data and create summary tables of your data. A basic working 
 knowledge of R and RStudio (functions\, operators\, data types) would be h
 elpful for you to get the most out of this session.\nRegistration required
 : http://go.wisc.edu/6qux10\n\nCONTACT: heather.shimon@wisc.edu\n\nURL: ht
 tps://www.library.wisc.edu/steenbock/2024/12/19/learn-how-to-analyze-data-
 using-python-and-or-r-programming-languages/
LOCATION:Online\, connection information will be sent in advance
SUMMARY:R Programming: Data Wrangling
URL;VALUE=URI:https://www.library.wisc.edu/steenbock/2024/12/19/learn-how-t
 o-analyze-data-using-python-and-or-r-programming-languages/
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