Data Visualization Nuts and Bolts Workshop (REPEAT of February 6th session)

by Student Affairs

Academic

Tue, Mar 27, 2018

12 PM – 1:15 PM EDT (GMT-4)

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HBH A301

5000 Forbes Avenue, Carnegie Mellon University, Pittsburgh, PA 15213, United States

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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, or other types of visualizations?

Come to a workshop that provides a background to creating successful graphs and charts. Data visualization, or the techniques used to visually display or communicate data, is an obvious output of our research or data analysis. The idea is to quickly and clearly display data for purposes of analysis or presentation.

Being able to effectively communicate your data to an audience is a necessary part of any project, from academic work to interactive graphics in the New York Times. How to harness visualization tools to tell a story will be presented in this short workshop. In this hour-long workshop, we will discuss how different types of graphs and charts are perceived and how they can be used to answer different questions.

Speakers

Emma Slayton's profile photo

Emma Slayton

Emma Slayton joined the University Libraries as the CLIR Fellow for Data Visualization and Curation in November. Her postdoc project focuses on supporting data visualization techniques and best practices throughout the different departments around CMU. At the University Libraries, she plans to offer workshops and other content to promote the use of various data visualization methods, tools, and techniques. Emma will also be offering a series of open office hours where university faculty, staff, and students can book time to discuss data visualization.

Emma recently finished work on her PhD in archaeology at Leiden University in the Netherlands. As an archaeologist, Emma focused on using computer modeling to hypothesize the location of early canoe routes in the Caribbean. She also has experience working with GIS and other data visualization tools.

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