Data visualization workshop

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GHME 2013 Conference
Session: Data visualization workshop
Date: June 18 2013
Presenter: Peter Speyer
Institute:
Institute for Health Metrics and Evaluation (IHME), University of Washington

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  • The interactive portions are available at http://grokhealth.com/ghme/
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  • 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

    1. 1. UNIVERSITY OF WASHINGTON Data visualization workshop Peter Speyer Kyle Foreman Director of Data Development PhD Candidate IHME 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 questions 2
    3. 3. Why do we visualize data? Review data • Make sense of large amounts of data • Explore patterns and trends • Evaluate research results • Find stories Communicate results • Make data engaging • Cut through the clutter • Let users explore the data • Use for presentations • Tell stories 3
    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 persuaded by the reasons which they have themselves discovered than by those which have come into the mind of others” Blaise Pascal 9
    10. 10. Agenda • Introduction • Interactive visualizations • GBD visualizations: examples in a research setting • The main steps for visualizing data • Practical example • Final questions 10
    11. 11. Agenda • Introduction • Interactive visualizations • GBD visualizations: examples in a research setting • The main steps for visualizing data • Practical example • Final questions 11
    12. 12. Global Burden of Disease 2010 - Results 291 causes/4 hierarchical levels 67 risk factors/2 levels 21 age groups (3 infant age groups, 1-4, 5-9… 75-79, 80+) Female/male/both 187 countries 1990, 2005, 2010 4 key metrics (deaths, YLLs, YLDs, DALYs) Uncertainty bounds 12
    13. 13. Use of visualizations for research 13 Improving the research work flow: Mortality Visualization COD Visualization Review results: GBD Compare Share results & tell stories: GBD Cause Patterns GBD Arrow Diagrams Evaluating policy impact: Benchmarking tool
    14. 14. Agenda • Introduction • Interactive visualizations • GBD visualizations: examples in a research setting • The main steps for visualizing data • Practical example • Final questions 14
    15. 15. Be clear about your objectives • What do I want to do/ communicate? • Am I telling a story or letting users explore? • What is my audience? How much do they know about the topic? About statistics? 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 Overview 16Kikishua 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. GIS 17Edwc via Flickr
    18. 18. Final thoughts • Facilitate viral communication – Permalinks – Social media integration – Embedding visualizations – Download screenshot • Working with software developers – Requirements – Testing – Documentation – Priorities 18ocean.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 questions 21
    22. 22. Questions? speyer@uw.edu kyleforeman@gmail.com http://ihmeuw.org/gbd 22

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