• Like
Data Visualization Workshop at GHME
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

Data Visualization Workshop at GHME

  • 433 views
Published

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

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

Published in Education
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
    Be the first to like this
No Downloads

Views

Total Views
433
On SlideShare
0
From Embeds
0
Number of Embeds
1

Actions

Shares
Downloads
14
Comments
0
Likes
0

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    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

Transcript

  • 1. UNIVERSITY OF WASHINGTONData visualization workshopPeter Speyer Kyle ForemanDirector of Data Development PhD CandidateIHME Imperial CollegeJune 18, 2013
  • 2. Agenda• Introduction• Interactive visualizations• GBD visualizations: examples in a research setting• The main steps for visualizing data• Practical example• Final questions2
  • 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. 4John Snow’s map of cholera cases in London, 1854
  • 5. 5Florence Nightingale, Deaths on Crimean Peninsula, 1858
  • 6. 6Charles Joseph Minard’s map of Napoleon’s Russian campaign of 1812, published 1869
  • 7. 7Gapminder World, http://www.gapminder.org, founded 2005
  • 8. 8
  • 9. “People are generally better persuadedby the reasonswhich they have themselves discoveredthan by thosewhich have come into the mind of others”Blaise Pascal9
  • 10. Agenda• Introduction• Interactive visualizations• GBD visualizations: examples in a research setting• The main steps for visualizing data• Practical example• Final questions10
  • 11. Agenda• Introduction• Interactive visualizations• GBD visualizations: examples in a research setting• The main steps for visualizing data• Practical example• Final questions11
  • 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. 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. Agenda• Introduction• Interactive visualizations• GBD visualizations: examples in a research setting• The main steps for visualizing data• Practical example• Final questions14
  • 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. 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. 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. 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. How do I know if I succeeded?19Mr. Aktugan via Flickr
  • 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. Agenda• Introduction• Interactive visualizations• GBD visualizations: examples in a research setting• The main steps for visualizing data• Practical example• Final questions21
  • 22. Questions?speyer@uw.edukyleforeman@gmail.comhttp://ihmeuw.org/gbd22