Event box

Data Storytelling Online

When working with data, the ways in which we communicate about or discuss analysis is as important as the act of research itself. A large part of being able to effectively use data is to understand what stories are contained within data sets, and what information may play a key role in analysis. In this workshop, we will go over strategies to develop research questions tied to specific data sets, identify core elements of data that may lead to successful and fruitful analysis, as well as how to use both data and results from analysis to communicate ideas to academic and public audiences.

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 | February 13th 

Data Visualization Best Practices | February 20th

Data Visualization in Tableau | February 27th

Data Visualization and Tableau Dashboards | March 12th 

Data Visualization in R | March 19th

Introduction to Data Visualization in R Shiny | March 26th 

Data for Citizen Science on Community Data | April 2nd

Date:
Tuesday, February 13, 2024
Time:
9:00am - 10:00am
Time Zone:
Eastern Time - US & Canada (change)
Campus:
Virtual Workshop
Categories:
  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.

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. All participants are required to follow the Code of Conduct.

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

Presenter(s)

Profile photo of Emma Slayton
Emma Slayton

Data Curation, Visualization, and GIS Specialist

eslayton@andrew.cmu.edu