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Intro to R, R Studio, and OpenRefine

Intro to R, R Studio, and OpenRefine

This event is an example-driven three-day workshop on basic computing skills from the Carpentries. Short tutorials alternate with hands-on practical exercises. Participants are encouraged both to help one another and to try applying what they have learned to their own research problems during and between sessions. Participants should have their own laptops to work on. This should be a "real" laptop - not a Chromebook, tablet, etc. You should also be sure to have admin privileges on this computer.

Visit http://www.datacarpentry.org/ to learn more about Data Carpentry.

This event runs from March 2-4 from 9:00 am-12:00 pm EST each day. Please only register if you can attend all three days.

The Zoom link and software installation instructions will be sent out prior to the workshop.

If you have questions, please write to Melanie Gainey at mgainey@andrew.cmu.edu or Sarah Young at sarahy@andrew.cmu.edu.

Register here: https://www.eventbrite.com/e/carnegie-mellon-intro-to-r-r-studio-and-openrefine-workshop-tickets-227246930687

 

Date:
Wednesday, March 2, 2022
Time:
9:00am - 12:00pm
Time Zone:
Eastern Time - US & Canada (change)
Location:
Online
Campus:
Virtual Workshop
Categories:
  Open Science     Working With Data  

Virtual Workshop Information:

  • The link to join this event will be found in your reminder email 24 hours before the event. 
  • 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.

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 workshop instructor.

Presenter(s)

Profile photo of Emma Slayton
Emma Slayton

Data Curation, Visualization, and GIS Specialist

eslayton@andrew.cmu.edu

Profile photo of Sarah Young
Sarah Young
Profile photo of Melanie Gainey
Melanie Gainey