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Data Visualization and Tableau Dashboards Online

Those familiar with Tableau know it is a valuable tool for exploring and visualizing data. This workshop seeks to build on initial Tableau skills to discuss how to develop effective dashboards. Participants will be shown how to use calculated fields, non-standard data visualization graph types, and best practices for designing effective dashboards that can communicate a research story to both academic and public audiences. 

Please have downloaded Tableau with a student (https://www.tableau.com/academic/students) or teacher (https://www.tableau.com/academic/teaching) license prior to the workshop.

This workshop is a part of CMU Libraries’ Communicating Data and Research Storytelling. For other workshops in the series, please see the links below at CMU Libraries website: 

Data Storytelling | September 4

Data Visualization Best Practices | September 18

Data Visualization in Tableau | October 2

Data Visualization and Tableau Dashboards | October 9

Data Visualization in R | October 23

Introduction to Data Visualization in R Shiny | October 30

Data for Citizen Science on Community Data |  November 13

Date:
Wednesday, October 9, 2024
Time:
9:00am - 10:00am
Time Zone:
Eastern Time - US & Canada (change)
Campus:
Virtual Workshop
Audience:
  Alumni     Faculty     Pittsburgh community     Staff     Students  
Categories:
  Information & Data Literacy CC     Working With Data and Code  
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.

Virtual Workshop Information:

  • The link to join this event will be found in your confirmation email and in the reminder email sent 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. All participants are required to follow the Code of Conduct.

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