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Data Visualization Best Practices

Data visualization, or the techniques used to visually display or communicate data, is an obvious output of our research or data analysis. Being able to effectively communicate your data to an audience is a necessary part of any project. How to harness visualization tools to tell a story will be presented in this short workshop. We will discuss how different types of graphs and charts are perceived and how they can be used to answer different questions, as well as what aspects of graphs make for effective storytelling.

 

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 on Community Data | November 14

 

Date:
Tuesday, September 26, 2023
Time:
12:00pm - 1:00pm
Time Zone:
Eastern Time - US & Canada (change)
Location:
Sorrells Library, Den
Categories:
  Working With Data and Code  
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.

Organizer(s)

Profile photo of Emma Slayton
Emma Slayton

About & Contact Info

Data Curation, Visualization, and GIS Specialist

eslayton@andrew.cmu.edu