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Join the #datafam at the Roux Institute on September 14! Jonathan Drummey, Tableau Visionary Hall of Fame, and Melanie Tory, Director of Data Visualization Research at the Roux Institute, will be the featured speakers.
Speakers
Jonathan Drummey
PATH
Data Visualization Specialist
Melanie Tory
The Roux Institute, Northeastern University
Director of Data Visualization Research
When
Thursday, September 14, 2023 1:00 PM – 3:00 PM UTC
TUG leaders provide a welcome
Introduce the purpose of the TUG
Set the expectations for the morning
1:30 PM
Why data visualizations are often uncooperative, and what we might do about it
When people communicate with each other, we're usually cooperative. We anticipate each other’s needs and take active steps to move the conversation forward. In contrast, most interactive data visualizations are dumb and reactive — they simply do what we ask, sometimes in irritating and uncooperative ways! Does this have to be the case? No! I believe that next-generation visualization tools can increasingly become cooperative partners in the analytical workflow. In this talk I'll explore how a future cooperative visualization system might behave.
2:00 PM
Coffee Break
Break for coffee and networking
2:10 PM
‘Ambiguous Toponym’ is my emo band name: What I wish someone had told me before I started making maps
With modern BI tools maps are easy, right…right?? In the last several years of making maps for global health projects Jonathan Drummey has stared at many, many screens wondering why the map is blank, why everything is 90 degrees off of where it should be, or why the map is really slooooowww, among other things. You’ll learn about mapping Norway, Sweden, Mexico, and Lebanon (Maine, that is), how zip codes don’t actually cover areas, why Google Maps thinks we’re still using ships to get from place to place, how GPS data can be inaccurately overprecise, and when cartographers lie, in this presentation of mistakes made and lessons learned.
2:40 PM
Tableau Tips & Closing Remarks
Jonathan will share some of his favorite tableau tips!
