Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

APLIC 2014 - Impact? Intrigue? Value-add? The ins and outs of Data Visualization

1,140 views

Published on

Erica Nybro of Measure DHS, and Amanda Makulec of JSI give Data Visualization tips for social scientists using DHS datasets

Published in: Science, Education, Technology
  • Be the first to comment

APLIC 2014 - Impact? Intrigue? Value-add? The ins and outs of Data Visualization

  1. 1. APRIL 29, 2014 DATA VISUALIZATION AMANDA MAKULEC | ERICA NYBRO APLIC 2014 [IMPACT | INTRIGUE | VALUE ADD]
  2. 2. DATA NEWBIES TO DATA NINJAS
  3. 3. VISUALIZATION TO TELL A STORY AMPLIFY YOUR REACH MAKE DECISIONS
  4. 4. THE VISUALIZATION PROCESS IDENTIFY YOUR AUDIENCE & CONTEXT FIND THE STORY IN YOUR DATA BUILD YOUR VISUALIZATION DISSEMINATE, SHARE & USE
  5. 5. WHAT? DATA WHAT INFORMATION DO YOU HAVE TO SHARE?
  6. 6. WHO? AUDIENCE WHO ARE YOU TRYING TO REACH WITH YOUR INFORMATION?
  7. 7. WHO? AUDIENCE • LITERACY • NUMERIC/DATA LITERACY • EDUCATION
  8. 8. WHO? AUDIENCE JOB FUNCTION • POLICY MAKERS • PROGRAM MANAGERS • RESEARCHERS/ACADEMICS • FUNDERS • JOURNALISTS • GENERAL PUBLIC
  9. 9. WHY? WHAT IS THEIR CONTEXT? WHO ARE THE STAKEHOLDERS? WHAT INFO DO THEY NEED? HOW WILL THEY USE IT? WHY DO THEY CARE? WHAT IS THE OBJECTIVE? * a note on politics and perspective
  10. 10. WHO? AUDIENCE EXAMPLE Data available: population and urbanization in all countries International Donor working in Urban Health Objective: Effective use of funds for big impact Data need: Where is urban health a big challenge? Where is there a service gap?
  11. 11. FIND YOUR DATA STORY
  12. 12. WHAT’S THE STORY? LOOK FOR… • Trends • Ranges • Patterns • Comparisons • Surprises
  13. 13. WHAT’S THE STORY? AN EXAMPLE • Audience • Context • Story
  14. 14. TIPS: • Sort your data different ways • Play with graphs/charts to find patterns
  15. 15. WHAT’S THE STORY? ONCE YOU HAVE YOUR STORY CONCEPT • Tweak for your audience • Write a short headline to summarize your story • What do you want your audience to take away? Is there an action point?
  16. 16. An increase in child malnutrition in Egypt coincides with the Avian Flu outbreak of 2006. We hope to see this trend reverse in 2014. WHAT’S THE STORY?
  17. 17. BUILDING A VISUALIZATION THE BASICS
  18. 18. AN EXAMPLE OF WHAT NOT TO DO
  19. 19. AN EXAMPLE OF WHAT NOT TO DO #2
  20. 20. WHAT WE DO WANT
  21. 21. YOUR GOAL: SHARING A MESSAGE THE USER EXPLORES YOUR DATA AND CAN DRAW THEIR OWN CONCLUSIONS. YOU DECIDE THE STORY AND THE MESSAGE, GUIDING YOUR READER. YOUR GOAL: PROMOTING EXPLORATION
  22. 22. UNDERSTAND THE STORY YOU WANT TO TELL
  23. 23. THINK ABOUT HOW YOU WANT TO VISUALIZE THAT STORY CHART OR GRAPH? INFOGRAPHIC? FLOW CHART? WHAT’S YOUR “AH HA!” MOMENT FOR YOUR AUDIENCE?
  24. 24. START WITH A SKETCH Sketch to start… and you’ll work your way to something beautiful.
  25. 25. A STARTING GUIDE TO CHOOSING A CHART TYPE
  26. 26. CHART CHOOSER 2.O (JUICE LABS)
  27. 27. BEYOND THE BAR CHART: SOME IDEAS tree map network map bubble chart
  28. 28. JUST SAY NO TO PIE CHARTS
  29. 29. DESIGN CREATING FUNCTIONAL ART
  30. 30. DRAW ATTENTION TO WHAT’S IMPORTANT: PREATTENTIVE ATTRIBUTES
  31. 31. DRAW ATTENTION TO WHAT’S IMPORTANT: GESTALT PRINCIPLES
  32. 32. COLOR | SHAPES | SIZE MAPS | SHADING
  33. 33. NUMBERS | SHORT TEXT TIMELINE MOBILE TRADITIONAL GRAPHS AND CHARTS
  34. 34. A GUT-CHECK FOR VIZ JunkCharts Trifecta Checkup What is the practical question? What does the data say? What does the chart say?
  35. 35. A RANDOM EXAMPLE
  36. 36. SKETCH TIME AN ACTIVITY AN EXAMPLE
  37. 37. INSTRUCTIONS 1. Find a partner. 2. Review your data tables. 3. Sketch your viz for the audience that you’ve been assigned.
  38. 38. A STARTING GUIDE TO CHOOSING A CHART TYPE
  39. 39. TAILORING YOUR DATA VIZ TO A SPECIFIC AUDIENCE AND CONTEXT AN EXAMPLE FROM THE TANZANIA 2010 DEMOGRAPHIC AND HEALTH SURVEY ACTIVITY
  40. 40. Example 1: A condom distributor in Tanzania wants to improve marketing and asks: who are the main users of condoms in Tanzania? EXAMPLE 1
  41. 41. VERSION 1 EXAMPLE 1
  42. 42. VERSION 2 EXAMPLE 1
  43. 43. ATTEMPT 3 EXAMPLE 1
  44. 44. ATTEMPT 4
  45. 45. AN ACTIVITY SHARING TIME AN EXAMPLE
  46. 46. DATA VIZ RESOURCES PROCESS
  47. 47. RESOURCES WHERE TO FIND… BOOKS & ARTICLES EXAMPLES TOOLS COMMUNITIES
  48. 48. BOOKS PEOPLE TO READ Stephen Few Show Me the Numbers Edward Tufte The Visual Display of Quantitative Information Alberto Cairo The Functional Art: An Introduction to Information Graphics Cole Nussbaumer Storytelling withdata.com
  49. 49. ARTICLES NEW DIRECTIONS IN EVALUATION
  50. 50. TOOLS COLOR-HEX COLOR ORACLE COLOR BREWER Simple tool for picking palettes Originally for maps Simulates color blindness Great for checking your viz Technical info on color models Generates CSS codes
  51. 51. TOOLS INFOGR.AM
  52. 52. TOOLS PIKTOCHART
  53. 53. TOOLS EASEL.LY
  54. 54. TOOLS TABLEAU 8.1
  55. 55. BUT A WORD OF CAUTION… Just because you can built a graph doesn’t mean it’s the right fit.
  56. 56. NETWORK MAPS GEPHI NODE XL UCINET
  57. 57. COMMUNITIES DATAVIZHUB.CO
  58. 58. COMMUNITIES
  59. 59. QUESTIONS APLIC

×