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Data Visualization in R

Are you currently involved in work that could be augmented by visualizing your data for analysis or to communicate your findings to the public? Would you like to further your skills or learn new ways to make charts, graphs, maps using the R?

Being able to effectively communicate your data to an audience is a necessary part of any project, and is made easier through the use of visualization tool like R. In this workshop, we will discuss the basic capabilities of R as well as take a hands-on approach to using the tool.

Please have downloaded R prior to the event : https://www.r-project.org


This workshop is a part of the Data Visualization for Citizen Science and Community Data Series. For other workshops in the series, please see the links below: 

Data Storytelling | Starting September 12 

Data Visualization Best Practices  | September 26

Data Visualization in Tableau  |  October 10 & 24

Data Visualization in R  |  November 7

Data for Citizen Science and Developing Community Data | November 14

Tuesday, November 7, 2023
12:00pm - 1:00pm
Time Zone:
Eastern Time - US & Canada (change)
Sorrells Library, Den
  Working With Data  
Registration has closed.

In-Person Event Information:

  • Indoor meetings and university-sponsored events of up to 50 persons are permitted. Due to COVID-19 campus restrictions, in-person workshops and events are only open to current CMU affiliates at this time.

  • Outdoor meetings and university-sponsored events are permitted up to 50% of outdoor facility capacity. 

  • For more information on in-person activities and spaces, please visit the university's COVID-19 Updates Guide

Workshops and events for Carnegie Mellon University Libraries are open to all, regardless of race, color, national origin, sex, disability, age, sexual orientation, gender identity, religion, creed, ancestry, belief, veteran status or genetic information.

If you require accessibility accommodations, please contact the event organizer.


Profile photo of Emma Slayton
Emma Slayton

Data Curation, Visualization, and GIS Specialist