1. UNIVERSITY OF WASHINGTON
Data visualization workshop
Peter Speyer Kyle Foreman
Director of Data Development PhD Candidate
IHME 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 questions
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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
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9. âPeople are generally better persuaded
by the reasons
which they have themselves discovered
than by those
which have come into the mind of othersâ
Blaise Pascal
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10. Agenda
⢠Introduction
⢠Interactive visualizations
⢠GBD visualizations: examples in a research setting
⢠The main steps for visualizing data
⢠Practical example
⢠Final questions
10
11. Agenda
⢠Introduction
⢠Interactive visualizations
⢠GBD visualizations: examples in a research setting
⢠The main steps for visualizing data
⢠Practical example
⢠Final questions
11
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
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13. Use of visualizations for research
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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. Agenda
⢠Introduction
⢠Interactive visualizations
⢠GBD visualizations: examples in a research setting
⢠The main steps for visualizing data
⢠Practical example
⢠Final questions
14
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. 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, APâs Overview
16Kikishua via Flickr
17. Build it
⢠Select the right type of visual
â Highlight your point
â Keep it simple
⢠Select the degree of interactivity
⢠Select the right visualization tool:
start simple
â Excel
â Public tools: Google Motion Charts,
Tableau Public, ArcGIS.com
â Custom coding: D3.js, Highcharts
â Maps: visualization vs. GIS
17Edwc via Flickr
18. Final thoughts
⢠Facilitate viral communication
â Permalinks
â Social media integration
â Embedding visualizations
â Download screenshot
⢠Working with software developers
â Requirements
â Testing
â Documentation
â Priorities
18ocean.flynn via Flickr
19. How do I know if I succeeded?
19Mr. Aktugan via Flickr
21. Agenda
⢠Introduction
⢠Interactive visualizations
⢠GBD visualizations: examples in a research setting
⢠The main steps for visualizing data
⢠Practical example
⢠Final questions
21
IntroExamplesTalk through GBD viz for usageLearnings from creating those: how to go aboutPractical examplesQ&A
Letâs 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 RoslingâsGapminder