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Info Visualization Workshop

Info Visualization Workshop. April 19, 2013. Jamalin Harp Jason Helms Curt Rode. Agenda. Overview Definitions Exigency Ethics Practice Problems Pedagogy Tools DIY. Overview. Introductions. What do you want to take away from this session? What projects do you have in mind ?

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Info Visualization Workshop

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  1. Info Visualization Workshop April 19, 2013 JamalinHarp Jason Helms Curt Rode

  2. Agenda • Overview • Definitions • Exigency • Ethics • Practice • Problems • Pedagogy • Tools • DIY

  3. Overview

  4. Introductions • What do you want to take away from this session? • What projects do you have in mind? • Think of a data set you would like to visualize and write it down.

  5. Definitions • Information Visualization • Infographics • 200 Countries, 200 Years, 4 Minutes

  6. Exigency • Why should we study Info Viz? • How can Info Viz benefit our teaching? • How can Info Viz benefit our research?

  7. Exigency • To assess information • To develop new lines of inquiry • To make disciplinary knowledge engaging for non-specialists • To cultivate critical reading strategies in our students

  8. Information Spectrum Audience Data Information Knowledge Non-participatory Participatory Experience Data Wisdom Producers Consumers Global Local Personal Context Nathan Shedroff

  9. Information Design • Information is ALWAYS designed • We rarely interact with raw data

  10. “ When we understand that slide, we'll have won the war. ” -Gen. McChrystal

  11. Ethics • Representing the unrepresentable • Representing effectively • Representing in good faith

  12. Practical

  13. Pie Charts

  14. Basic Design Principles • CRAP • Contrast • Repetition • Alignment • Proximity

  15. 3 out of 5 poets prefer vodka to bourbon

  16. 3 out of 5 poets prefer vodka to bourbon

  17. 3 out 5 of poets prefer vodka to bourbon

  18. Back to Your Project • Given what you’ve learned so far, how might you visualize your data? • Now, share your idea with someone in the group.

  19. Pedagogy

  20. Tools

  21. DIY • Gather good data • Study exemplars (both in and outside your field) • Articulate goals for your visualizations (analysis, public argument) • Determine and assess your ultimate audience (values, needs, biases, educational background, gender, ethnicity, socio-economic level) • Determine the relationship between the points of information (linear, hierarchical, network, parallel) • Consider the appropriateness of “comparative” data sets (even whimsical ones?) to help put main data into interesting and memorable perspective.

  22. DIY • Study the elements of graphic design (C.R.A.P Principle) • Play with a variety of visual metaphors / “conceptualize” visually (how well will your metaphor appeal to the needs, interests, and biases of your audience?) • Sketch on paper, doodle some basic concepts (a low-stakes way of playing around to get started) • Choose suitable design tool and work w/ software (Word, PowerPoint, InDesign, Tableau, other?) • Go through several additional drafts. • Render into a universal format (PDF, JPG, html, etc) • Share with the world

  23. Further Reading • Eight Principles of Data Visualization • The Do’s and Don’ts of Infographic Design • How to Make an Infographic • Introducing CRAP: The Principles of Design

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