The document summarizes a presentation given at the NASW annual meeting on November 6, 2010 by David Harris. The presentation discussed how data visualization can help understand data by finding stories and errors within it. It notes that while researchers are often poor at visualization because they include too many details, journalists are generally better at it because they can take the audience's perspective. The presentation provided tips on when and how to effectively visualize data, and used an example of visualizing individual criminal histories.
2. It can help you:
• find a story
• understand a story
• tell a story
“Finding ways to visualize datasets
can be as important as ways to
analyse them."
(in Maltz, from Unwin, quoting Ripley)
3. It makes you truly understand the data
It can help you find errors in the data
• More common than you think!
You can find manipulated data
• More common that you’d hope!
4. Most of them are terrible at it!
• They are too close to the data
• They want to include too many details
• They can’t see it from the audience’s viewpoint
Journalist can be better at it
• We can take a reader’s perspective
• We know how to find the story in the data
• We ask different questions
5. When:
• Only use it when it’s genuinely the best way to tell
the story – text is still powerful!
How:
• Get the data and try it out
• Test you visualization on some audiences
• Remove some of the information
• Learn by studying good examples
6. A big question in criminology: how did
criminals get to where they are?
Can we see an individual’s criminal history
and relevant life events easily?
People have been trying to do this for
decades without much success (based on
uptake from others in the field)
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18. Start by sketching a design (scrap paper)
Prototype it (Adobe Illustrator)
Design your data structure (Excel)
Program it (Processing)
This data comes from a study of 800 civilly
committed sex offenders in
Massachusetts. Thanks to:
• Danielle Harris, San Jose State University
• Ray Knight, Brandeis University