Visualisation...making data more interesting?
If a picture is worth a thousand words, how many words is great data visualisation worth?
Earlier in the week, I got to learn about the work of a campaign collective called Tactical Tech. They do lots of really interesting things (do have a look at the tools they produce to help digital campaigners in the global south) but the project that really got me thinking was their REVEAL programme which looks to turn data into visualisations that the public can engage with.
The vision for the work is simple;
Tactical Tech's Reveal Programme helps rights advocates make sense of data, focus its use on their issue, and produce clear, compelling and accurate visualisations which actually strengthen their campaigning.
In my experience lots of campaigning organisations have a long history of collecting data and writing great policy reports packed full of graphs and charts, but they're often read by a small number of people. At the same time in the UK, both local councils and Whitehall are rushing to make data sets available and I'm sure its packed full of information that’d be invaluable to campaigners. But to most people, the traditional graphs produced from data like this can often be impenetrable and hard to understand.
The folk at Tactical Tech have a vision of turning that into something that is far more accessible and engaging, built on a belief that when people interact with information, they're much more likely to remember and act upon it than when we passively look at a table or graph. What's more by turning data into visualisations, it doesn't discredit the process of research but strengthens it by reaching more people and allowing them to draw conclusions from it.
This case study of how they produced Anti-Slavery International's Products of Slavery website is a great example, and tells how they turned a 194 page report with 2000+ references from the US into something far more accessible.
Do others see the value in this? Have you seen other good use of visualisation by campaigners?
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similarly reccomend the good folk at Information is Beautiful
http://www.informationisbeautiful.net/
This was a really timely and interesting post for me. Interesting to see how data can be visualised.
As someone who's more into using words, I'd like to ask advice on any (cheap or free) software that steps beyond the sort of thiings you can do with Excel?
Here in the NCVO research team we've been inspired by these sorts of ideas too - I have a copy of the "Information is Beautiful" book on my desk!
Hopefully this comes across in the latest Almanac, where we tried to use some different ways of getting our information across. You can also see these techniques in our Participation: Trends, Facts and Figures publication.
I'd recommend looking at "Where Does My Money Go?" - which has snazzy visualisations of public spending in the UK.
Alastair - I find Google Fusion Tables a very useful online tool which helps to quickly generate tables, maps and charts in quite a simple way.
You might want to read this first What Visualization Tool/Software Should You Use? – Getting Started. I've experimented with Many Eyes and found it really easy to use.
I'm also a fan of Wordle which creates "word clouds" based on any text that you provide. Words which appear more often in the text appear bigger in the cloud, so it gives you a really quick picture of key themes/language used in a document.
This can be really useful for analysing things like speeches, policy documents, manifestos etc to analyse the language that's being used and how it might differ from the language you're using.
There's a really good example of this kind of discourse analysis from the National Housing Federation, who spoke at one of Forum for Change events last year: http://www.slideshare.net/NCVO/national-housing-federation-case-study-discourse-analysis.
I just came across this blog piece via Twitter (gotta love Twitter) exploring ways in which open data is being used to shape society - how data can be visualised to inspire people to change behaviour. It builds on the Making a difference with data project and well worth a read if you have time