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Data Visualization with R

Data Visualization with R Online

This event is a virtual example-driven workshop on basic skills for creating data visualizations in R. Short tutorials alternate with hands-on practical exercises, and participants are encouraged both to help one another, and to try applying what they have learned to their own research problems. Using the versatile ggplot2 package, students will produce plots, histograms, density distribution, and other useful visualizations to bring their data to life.

This lesson also requires basic familiarity with R and the RStudio environment. Participants are expected to have completed the Introduction to R mini prior to enrolling in this course, or to have an equivalent level of understanding of the material contained in that lesson.

This workshop will require software installations on your own computer before the workshop begins to ensure that the workshop runs smoothly. We anticipate this prep work will take you 10 to 30 minutes. The set-up instructions and Zoom link will be sent to you in a registration confirmation email. Seating is limited so please only register for the workshop if you can commit to doing the prep work beforehand.

Online Workshop Information

  • The link to join this event will be found in your confirmation and reminder emails.
  • Please join a few minutes early to ensure that your audio setup is working correctly
  • All events are shown in Pittsburgh (ET) time. Visit this time zone converter to see when this event will take place in your time zone.
Date:
Thursday, June 24, 2021
Time:
1:00pm - 3:00pm
Time Zone:
Eastern Time - US & Canada (change)
Campus:
Virtual Workshop
Categories:
  Open Science     Working With Data  
Online:
This is a virtual event. A URL to participate will be sent via a reminder email 24 hours before the event.
Registration has closed.

Online Workshop Information:

  • The link to join this event will be found in your confirmation and reminder emails.
  • Please join a few minutes early to ensure that your audio setup is working correctly
  • All events are shown in Pittsburgh time. Visit this time zone converter to see when this event will take place in your time zone.

Organizer(s)

Profile photo of Emma Slayton
Emma Slayton

Data Curation, Visualization, and GIS Specialist

eslayton@andrew.cmu.edu