Dataviz Workshop: Program Outline

Thursday 14 February 2019

13h45: Introductive conference by Benjamin Bach (University of Edinburgh)
• Presentation
◦ Edinburgh lab
◦ Research mission
▪ Exploration / Explanation
▪ Multi-modal
▪ Analytics

Selected Projects
▪ Time curves
▪ Vistorian
▪ Data comics



• Workshop outline
Goals:
▪ Why datavis works (today)
▪ Theoretical foundations (today)
▪ Define tasks and context (today)
▪ Sketch ideas (today + tomorrow)
▪ vis techniques (tomorrow)
▪ Vis tools (tomorrow)
▪ Communication + Presentation (tomorrow)
▪ visualize own data! (today+tomorrow)
▪ Discussion + networking

◦ Schedule
◦ Material:
▪ Files for today
▪ Own data



• Participant presentation
◦ Background, interests in workshop
What do you want?

Introduction into data vis
◦ Visualization gone wrong
◦ Exploration vs. Explanation
◦ Visualization success stories
◦ Perceptional backgrounds
◦ Bertin variables



15h00: Break

15h15: Hands-on workshop: Tools
• Sketching theory and background
• Sketch warm-up
• Sketch pre-defined data (restaurant visits, titanic, SIMD)


• Own data
◦ Develop tasks / scenarios / challenges
◦ Concept sketches


• Participants show stuff
• Discussion and wrap up
◦ Questions about today?
◦ Preview for tomorrow


▪ Morning: tutorials / afternoon: free work and discussion

▪ A) Focus on networks:
▪ Network visualization overview
▪ Vistorian tutorial
▪ Vistorian own time



▪ B) General tools
▪ Walk through some tools
▪ Try and play with some tools



▪ C) Storytelling
▪ Presentation
▪ Data comics
▪ Create data comics
◦ Feedback


16:30: End

Friday 15 February 2019

9h00: Hands-on workshop: Data vis tools
• Walk through some data visualization tools

◦ Datawrapper
◦ Rawgraphs
◦ Vistorian

• Play with own data

10h30: Break

10h45: Hands-on workshop: Storytelling and presentation OR free working
• Lecture on presentation and storytelling
• Time to explore and try with own data


12h15: Lunch

13h30 Hands-on workshop: free working
• Free time working on own data set, Benjamin helping

15h30 Wrap up Data Visualization Workshop
• Questions
• General Feedback from participants



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