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Data Visualization for Non-Profits - VisWeek 2012

Kim Rees
October 18, 2012

Data Visualization for Non-Profits - VisWeek 2012

The ins and outs of data visualization for non-profits and other do-gooders. (Download the PDF in order to read the notes that show up here too tiny to read.)

Kim Rees

October 18, 2012
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Transcript

  1. So, for those of you who are unfamiliar with Periscopic,

    we are a data visualization firm in Portland, OR. We have a background in traditional web development, but in 2003 we were inspired by some of the work we saw from IBM, Ben Fry, and others and switched gears to dataviz. I’ll show a few slides of our work.... 1
  2. Our tagline is “do good with data” which means we

    work with organizations who share the ideals of equality, human rights, sustainability, and so on. 2
  3. But to be honest, we don’t only work with non-profits,

    although they are a large focus of our work. 3
  4. But what I want to talk about is the nature

    of working with data and non-profits. One thing to keep top of mind while working with do-gooders is that their data is living and breathing. Meaning, the data is about kids who are dying of cancer, or bears that are starving because the polar ice cap is diminishing. The data is about real people, animals, that are out there encountering these problems right now as we speak. I don’t know if you caught Jon Schwabish’s talk yesterday – he’s from the congressional budget office. Now that may seem like dry economic data (Sorry, Jon)... But you have to remember that those are people who may need food stamps to get by, or someone with disabilities who may need certain social services.... There are real people behind the numbers. 5
  5. And the painful part is that it’s probably taken months

    or years for the data to reach your hands. This wonderful young man volunteers his time to sit on a cold Pacific Northwest river to count fish for hours. 6
  6. In order to understand a species, a system, a future

    – we need to count and measure and catalog – and that’s a process. By the time the data makes it to us, it’s historical data. 7
  7. In the age of big and realtime data, we have

    to remember that small, sparse, and slow data is every bit as, if not more, important. 8
  8. It can be emotionally trying to work with non-profits. Sometimes

    you want to scream their message to the world, but they want to keep a lower profile. This can seem counter productive, but really it’s a fine balance that many orgs face. 9
  9. This is a screen shot from a recent project about

    polar bears. HALF of the map has no data. NO DATA. It’s primarily Russia that has the problem. But rather than sound an alarm, this organization wants to foster a relationship with Russia to collect that information. 10
  10. These guys are awesome. They’re completely non-partisan. They wouldn’t even

    label special interest groups as liberal or conservative. It’s a challenge not to bring personal bias into a piece. 11
  11. If you’re considering transitioning into a “real world” visualization career,

    you’ll have to come to grips with the horrible truth that most people aren’t as smart or versed in data as you are. 12
  12. For a recent project we completed, we used these fabulous

    beanplots. And in user testing 70% of the people got the tasks exactly right and another 20% got very close. But those same people said they were very unsure that they got the right answers. So, everyday people aren’t in the weeds of data and visualization like we are. 13
  13. So we switched to an interactive heat matrix. The heat

    matrix concept is more familiar. People have seen them before. But it’s good to remember some basics of interaction: Simply reinforce what they’re seeing. Many people need to have their own choices mirrored back to them to feel confident. They need validation. 14
  14. You have the computer on your side. If you know

    what’s important, show it uniquely. Draw the user to that important information. We made this chart for a recent project about salmon. It’s a temperature chart of the river. Along the bottom are the migration timings of the salmon species. Well, it actually took us a minute to realize we should show the intersection of the fish locations with dangerous temperatures. They are quite literally in hot water. See – dead fish here! Cool down that river. A good visualization is like a fine passage of prose -- elegant, succinct, but rich in character. 15
  15. You have the computer on your side. If you know

    what’s important, show it uniquely. Draw the user to that important information. We made this chart for a recent project about salmon. It’s a temperature chart of the river. Along the bottom are the migration timings of the salmon species. Well, it actually took us a minute to realize we should show the intersection of the fish with dangerous temperatures They are quite literally in hot water. See – dead fish here! Cool down that river. A good visualization is like a fine passage of prose -- elegant, succinct, but rich in character. 16
  16. You have the computer on your side. If you know

    what’s important, show it uniquely. Draw the user to that important information. We made this chart for a recent project about salmon. It’s a temperature chart of the river. Along the bottom are the migration timings of the salmon species. Well, it actually took us a minute to realize we should show the intersection of the fish with dangerous temperatures They are quite literally in hot water. See – dead fish here! Cool down that river. A good visualization is like a fine passage of prose -- elegant, succinct, but rich in character. 17
  17. So, there’s this concept that doesn’t make it’s way into

    academia much... It’s called “emotion”.... Or the “F” word: Feelings. Non-profit work is pretty much imbued with emotion... It’s steeped in emotion. 18
  18. Visualization for non-profits is typically designed to elicit a certain

    response... To compel a specific action such as writing to your congress person 19
  19. Of course, it can also get pretty heartbreaking. We work

    with a lot of different organizations, so the good news is that the heartbreaking projects change up periodically. And we’re helping them get their message out there. 22
  20. Of course, it can also get pretty heartbreaking. We work

    with a lot of different organizations, so the good news is that the heartbreaking projects change up periodically. And we’re helping them get their message out there. 23
  21. So at the end of the day, working on this

    type of work is incredibly rewarding. You know you’re making a difference in the world as well as working in a field you love. Thanks. 24