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VERSION:2.0
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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
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20261015T165053
UID:223668@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20261015T100000
DTEND;TZID=America/Chicago:20261015T120000
DESCRIPTION:In this workshop\, we will explore different methods and tools 
 for visualizing data. We’ll use Seaborn\, a popular and free data visual
 ization library written for Python.\n\nPrerequisite: Understanding of basi
 c Python concepts (e.g.\, functions\, operators\, data types) is helpful.\
 n\nThe workshop will not be recorded.\n\nCONTACT: 262-3007\, david.bloom@w
 isc.edu\n\nURL: https://www.library.wisc.edu/steenbock/2026/08/18/learn-ho
 w-to-analyze-data-using-python-and-or-r-programming-languages/
LOCATION:Online\, connection information will be sent in advance
SUMMARY:Python Programming for Research Projects 4: Data Visualization with
  Seaborn
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
BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20261015T165053
UID:223671@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20261016T100000
DTEND;TZID=America/Chicago:20261016T120000
DESCRIPTION:One way to automate your reports is to create files with human 
 readable text and machine readable code. This code-along workshop will cov
 er creating reproducible reports in RStudio using Quarto. After this sessi
 on\, you will be able to create Quarto documents\, add formatted text and 
 executable code blocks\, and render the document into a final report.\n\nP
 rerequisite: working knowledge of R\, RStudio\, and familiarity with the d
 plyr and ggplot2 packages is helpful.\n\nRegister: go.wisc.edu/qv5hdj\n\nC
 ONTACT: heather.shimon@wisc.edu\n\nURL: https://www.library.wisc.edu/steen
 bock/2026/08/18/learn-how-to-analyze-data-using-python-and-or-r-programmin
 g-languages/
LOCATION:Online\, connection information will be sent in advance
SUMMARY:R Programming 4: Reports 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
BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20261015T165053
UID:223658@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20261029T120000
DTEND;TZID=America/Chicago:20261029T130000
DESCRIPTION:Learn core strategies to find public and research datasets in a
  variety of disciplines. We will cover the basics of two databases\, Data 
 Citation Index (allows for searching multiple data repositories at once) a
 nd Data.gov (searches datasets from the U.S. federal\, state\, and local g
 overnments)\, as well as address important considerations when evaluating 
 and using datasets. \n\nRegister with the link below for connection inform
 ation.\n\nCONTACT: heather.shimon@wisc.edu\n\nURL: https://uwmadison.zoom.
 us/meeting/register/BTxT1LetTj6cinUtmuAhXQ
LOCATION:Online\, connection information will be sent in advance
SUMMARY:Introduction to Finding Datasets (online)
URL;VALUE=URI:https://uwmadison.zoom.us/meeting/register/BTxT1LetTj6cinUtmu
 AhXQ
END:VEVENT
BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20261015T165053
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/
END:VEVENT
END:VCALENDAR