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Visualizing Flow with Sankeymatic

Visualizing Flow with Sankeymatic

Learn to create powerful visualizations of flow with the free, browser-based tool Sankeymatic! Sankey diagrams are useful for visualizing the “flow” between entities within your data, as well as processes could be best explained with best graphicly. These “flows” and processes can have a “weight” that depicts the quantity of a flow, or importance. Sound confusing? It’s not!

This hands-on introductory workshop will take place online and in-person and requires no experience, but you will need a computer to follow along and create your own diagram. In addition to building and customizing diagrams in Sankeymatic, we will also discuss design principles, as well as exporting and post-editing tools including Illustrator and Inkscape.

Learners will:

  • Create Sankey flow diagrams from existing data using Sankeymatic
  • Familiarize themselves with customization options in Sankeymatic
  • Articulate key design principles for communicating data visually
  • Identify when to export images as static PNG or vector-based SVG files
  • Recognize how vector graphic editors (e.g. Illustrator, Inkscape) can enhance raw image exports

If you are an individual with a disability and desire an accommodation, please email library-event-accessibility-g@vt.edu at least 10 business days prior to the event.

Image: CARES Act Sankey Diagram. Author: Sevenandforty. Reused under CC-BY-SA license from https://commons.wikimedia.org/wiki/File:CARES_Act_Sankey_Diagram.png.

Wednesday, October 5, 2022
10:00am - 11:30am
    Alumni       Beginners       Faculty/Staff       Graduate Students       Public       Undergraduates  
    Workshop > Data Science       Workshop  

Registration is required. There are 13 seats available.

Event Contact

Profile photo of Michael Stamper
Michael Stamper

Data Visualization and Information Designer & Digital Consultant for the Arts

Profile photo of Nathaniel Porter
Nathaniel Porter

Social Science Data Consultant and Data Education Coordinator