UNIVERSITY OF WASHINGTONData visualization workshopPeter Speyer Kyle ForemanDirector of Data Development PhD CandidateIHME...
Agenda• Introduction• Interactive visualizations• GBD visualizations: examples in a research setting• The main steps for v...
Why do we visualize data?Review data• Make sense of large amountsof data• Explore patterns and trends• Evaluate research r...
4John Snow’s map of cholera cases in London, 1854
5Florence Nightingale, Deaths on Crimean Peninsula, 1858
6Charles Joseph Minard’s map of Napoleon’s Russian campaign of 1812, published 1869
7Gapminder World, http://www.gapminder.org, founded 2005
8
“People are generally better persuadedby the reasonswhich they have themselves discoveredthan by thosewhich have come into...
Agenda• Introduction• Interactive visualizations• GBD visualizations: examples in a research setting• The main steps for v...
Agenda• Introduction• Interactive visualizations• GBD visualizations: examples in a research setting• The main steps for v...
Global Burden of Disease 2010 - Results291 causes / 4 hierarchical levels67 risk factors / 2 levels21 age groups (3 infant...
Use of visualizations for research13Improving theresearch work flow:Mortality VisualizationCOD VisualizationReview results...
Agenda• Introduction• Interactive visualizations• GBD visualizations: examples in a research setting• The main steps for v...
Be clear about your objectives• What do I want to do / communicate?• Am I telling a story or letting usersexplore?• What i...
Prepare the data• Identify all relevant available data• Become intimate with your dataset(s):metrics, units, dimensions, u...
Build it• Select the right type of visual– Highlight your point– Keep it simple• Select the degree of interactivity• Selec...
Final thoughts• Facilitate viral communication– Permalinks– Social media integration– Embedding visualizations– Download s...
How do I know if I succeeded?19Mr. Aktugan via Flickr
Further reading & inspiration• http://flowingdata.com/• http://blog.visual.ly/• http://www.informationisbeautiful.net/• ht...
Agenda• Introduction• Interactive visualizations• GBD visualizations: examples in a research setting• The main steps for v...
Questions?speyer@uw.edukyleforeman@gmail.comhttp://ihmeuw.org/gbd22
Upcoming SlideShare
Loading in …5
×

Data Visualization Workshop at GHME

712 views
601 views

Published on

Workshop on Data Visualization with historical examples, interactive examples, and key steps for creating interactive visualizations

Published in: Education
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
712
On SlideShare
0
From Embeds
0
Number of Embeds
22
Actions
Shares
0
Downloads
23
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide
  • IntroExamplesTalk through GBD viz for usageLearnings from creating those: how to go aboutPractical examplesQ&A
  • Let’s start with the last points and work backwardsFew historic examples to provide some contextClear take-aways
  • Cholera on braod streetTheory: bad airCounting casesNo proof in waterPump handle
  • Pie chart with 12 slices for monthsArea (from middle) proportionate to deathsCommunicable disease bigger enemy than RussiansMilitary hospital system
  • Number of soldiersLocationDirectionDateTemperatureStories: river crowssing
  • Fast-forward over 100 yearsWeb allows interactivitySoftware allows watching movies of time trends, allows for integrating any indicatorTED visualizations
  • Bill Gates: big milestone after Rosling’sGapminder
  • Data Visualization Workshop at GHME

    1. 1. UNIVERSITY OF WASHINGTONData visualization workshopPeter Speyer Kyle ForemanDirector of Data Development PhD CandidateIHME Imperial CollegeJune 18, 2013
    2. 2. Agenda• Introduction• Interactive visualizations• GBD visualizations: examples in a research setting• The main steps for visualizing data• Practical example• Final questions2
    3. 3. Why do we visualize data?Review data• Make sense of large amountsof data• Explore patterns and trends• Evaluate research results• Find storiesCommunicate results• Make data engaging• Cut through the clutter• Let users explore the data• Use for presentations• Tell stories3
    4. 4. 4John Snow’s map of cholera cases in London, 1854
    5. 5. 5Florence Nightingale, Deaths on Crimean Peninsula, 1858
    6. 6. 6Charles Joseph Minard’s map of Napoleon’s Russian campaign of 1812, published 1869
    7. 7. 7Gapminder World, http://www.gapminder.org, founded 2005
    8. 8. 8
    9. 9. “People are generally better persuadedby the reasonswhich they have themselves discoveredthan by thosewhich have come into the mind of others”Blaise Pascal9
    10. 10. Agenda• Introduction• Interactive visualizations• GBD visualizations: examples in a research setting• The main steps for visualizing data• Practical example• Final questions10
    11. 11. Agenda• Introduction• Interactive visualizations• GBD visualizations: examples in a research setting• The main steps for visualizing data• Practical example• Final questions11
    12. 12. Global Burden of Disease 2010 - Results291 causes / 4 hierarchical levels67 risk factors / 2 levels21 age groups (3 infant age groups, 1-4, 5-9 … 75-79, 80+)Female/male/both187 countries1990, 2005, 20104 key metrics (deaths, YLLs, YLDs, DALYs)Uncertainty bounds12
    13. 13. Use of visualizations for research13Improving theresearch work flow:Mortality VisualizationCOD VisualizationReview results:GBD CompareShare results & tellstories:GBD Cause PatternsGBD Arrow DiagramsEvaluating policyimpact:Benchmarking tool
    14. 14. Agenda• Introduction• Interactive visualizations• GBD visualizations: examples in a research setting• The main steps for visualizing data• Practical example• Final questions14
    15. 15. Be clear about your objectives• What do I want to do / communicate?• Am I telling a story or letting usersexplore?• What is my audience? How much dothey know about the topic? Aboutstatistics? About visualizations?15HikingArtist via Flickr
    16. 16. Prepare the data• Identify all relevant available data• Become intimate with your dataset(s):metrics, units, dimensions, uncertainty• Prepare data: Excel, Google Refine,Data Wrangler, AP’s Overview16Kikishua via Flickr
    17. 17. Build it• Select the right type of visual– Highlight your point– Keep it simple• Select the degree of interactivity• Select the right visualization tool:start simple– Excel– Public tools: Google Motion Charts,Tableau Public, ArcGIS.com– Custom coding: D3.js, Highcharts– Maps: visualization vs. GIS17Edwc via Flickr
    18. 18. Final thoughts• Facilitate viral communication– Permalinks– Social media integration– Embedding visualizations– Download screenshot• Working with software developers– Requirements– Testing– Documentation– Priorities18ocean.flynn via Flickr
    19. 19. How do I know if I succeeded?19Mr. Aktugan via Flickr
    20. 20. Further reading & inspiration• http://flowingdata.com/• http://blog.visual.ly/• http://www.informationisbeautiful.net/• http://www.visualcomplexity.com/vc/• http://visualization.geblogs.com/• http://eagereyes.org/• http://chartporn.org/• http://worldbank.tumblr.com/20
    21. 21. Agenda• Introduction• Interactive visualizations• GBD visualizations: examples in a research setting• The main steps for visualizing data• Practical example• Final questions21
    22. 22. Questions?speyer@uw.edukyleforeman@gmail.comhttp://ihmeuw.org/gbd22

    ×