Telling stories with data

Yesterday, I did a bit of social reporting at my good friends Claremont‘s ‘Data is Power’ event, hearing about the impact data visualisation has been having on PR and journalism.

We heard from the Alzheimers Society about how they raised awareness of the postcode lottery in dementia diagnosis through smart data visualisation. It’s a really great example of the art, as Vicky Ames from the Society explains:

We also heard from Simon Rogers from the Guardian’s Datastore about how they’ve made information journalism a credible and ‘mutualised’ discipline, using simple tools such as Google spreadsheets to publish data for comment and interpretation by their community of experts and enthusiasts, telling some pretty compelling stories for example, about the war in Iraq.

Visualisation is in demand, without a doubt. A couple of weeks ago, I spent a day with a public sector client’s research and communications team, thinking through how they might approach open data and data visualisation for their organisation. It was a fun day, with plenty of show-and-tell examples of nice data visualisation. We explored the contrasting, but potentially complementary goals of supporting more in-depth data interrogation or analysis, vs presenting and communicating engaging stories, including the potential data visualisation has to:

We took in Edward Tufte’s sage advice from the pre-PC era for presenting data, too:

  • Have a story to tell
  • Choose formats carefully
  • Combine words, numbers & drawing
  • Ensure balance and scale
  • Make complexity accessible to the reader
  • Deliver the visual to a professional standard
  • Avoid decoration (the famous ‘chartjunk’ of gradients and lines he so despises)

… and talked about how Tufte’s concept of simple ‘sparkline‘ charts is being transposed to the social web, including by the Wall St Journal on economic data.

It’s fascinating to see the politics of infographics unfolding too, for example around the ‘debt crisis’ narrative the Coalition government is trying to tell. What’s for civil servants to say, and when do the visualisations become political messaging? The contrast between departmental and party political Flickr accounts around the Budget was intriguing:

HM Treasury budget data

Source: HM Treasury vs Conservatives

So the storytelling angle is key, as Simon Booth-Lucking from Claremont highlighted yesterday and in a recent blog post:

If you’d like to find out more about data visualisation, there are some great blogs out there, and for a practical public sector angle, check out the fantastic Dataviz site backed by OCSI and CLG which presents case studies, tips and methodologies.

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Profile Photo Jeff Ribeira

Really like your bullet points there. Data visualization is indeed much more than just putting pictures with words. Not unlike any other creative process, there are certain best practices (not rules) that need to be followed in order to produce something awesome.

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Profile Photo Dennis R. Still

During my time as a graduate student in political science, and my time as a professional analyzing various kinds of data inputs, I think the most amazing thing about using data is to prove a “theory”, “hunch”, and “intuition” totally wrong. The power in data is to take a working hypothesis, be it in academics, government, or business, and then test that hypothesis to see if accurate.

By pulling together some simple comparisons of across time, I was able to show that a long standing product was not a) making money, b) was costing us a lot more than other products of similar nature, and c) should simply be downsized to the point of almost non-existence. When you can take those results and visually show them in a creative, but simple to understand way, you have now become a powerful resource for any institution/business.

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Profile Photo Steve Ressler

Was listening to a podcast the other day with founder of Optimizely.com (former Obama analytics guy) and he said that when they do A/B test optimization, it’s pretty fascinating but hunches are usual wrong. That’s why the data is key

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