1 of 11

Data Visualization and Presentation

2 of 11

Learning objectives

At the end of this module, you will be able to:

  • Discuss the characteristics of good visualization
  • Identify data stories and the most appropriate visualization types for each
  • Use guidelines to create the most effective visualization(s) for your policy brief

2

3 of 11

Visual displays of the problem (statement)

  • Goal:
    • Make the problem as simple to understand as possible
    • Demonstrate clearly the impact of the problem
  • Charts, graphs, maps, figures can enhance our message…but only when they’re done well!

3

4 of 11

Characteristics of effective visualizations

  • Meaningful
  • Memorable
  • Tell the story you want to tell!

4

5 of 11

Data stories

5

6 of 11

Where are we now?

  • Can involve:
    • Single measure, single location
    • Multiple measures, single location
    • Multiple measures, multiple locations

  • Best told with:
    • Graphics (photos or visuals, +/- text)
    • Bar charts
    • Pie charts
    • Maps (+/-)

6

7 of 11

Where are we now? (single measure, single location)

7

“Approximately 3,000 children die from malaria each day, mostly in Africa.”

In the last hour, this is how many children died from malaria

8 of 11

Where are we now? (multiple measures, single location)

8

“None of the key targets for care around childbirth were met in Country Y during 2017.”

9 of 11

Where Are We Now?

9

“Non-communicable diseases—primarily cardiovascular disease and injuries—comprised 60% of DALYs in Nepal in 2016.”

Adapted from: IHME Global Burden of Diseases http://www.healthdata.org/Nepal

10 of 11

How are we doing compared with others?

  • Across geographic locations:
    • Maps
    • Bar charts
    • Graphics (may be more difficult to make/interpret)

  • Across demographic groups:
    • Bar charts

10

11 of 11

How are we doing compared with others?

11

“Russians are among the highest-volume consumers of alcohol in the world.”

RUSSIA