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Plotting a critical path
I’ve enjoyed following the debate around Manuel Lima’s information visualisation manifesto, published after he spoke here at Kingly Street last month (see Justin’s post below). The manifesto was sparked by a call from a part of the audience for a critical discourse on data visualisation, so that we could stop just going “Ooohhh” and begin to answer the question ‘What makes a good diagram?’.
Manuel’s response was the succinct and simple yardstick: “form follows revelation”.
He elaborates: “Form doesn’t follow data. Data is incongruent by nature. Form follows a purpose, and in the case of Information Visualization, Form follows Revelation…. Independently of the subject, the purpose should always be centered on explanation and unveiling, which in turn leads to discovery and insight.”
This is an essential truth but there’s a lot of filling in to do before being able to apply the maxim in the world, and Manuel begins with these sub-clauses: start with a question; interactivity is key (discuss); cite your source; [use] the power of narrative; do not glorify aesthetics; look for relevancy; embrace time [cf. interactivity]; aspire for knowledge; avoid gratuitous visualizations.
I have others of my own, but I’ll start by referring back to the origin of the debate which is (I can say with authority, as one of Ian Douglas’ naysayers) that, in half a decade of observing dynamic and interactive data visualisation emerge, there’s a frustration that the critique hasn’t moved beyond cataloging new typologies (of which an excellent job has been done by Manuel’s visualcomplexity.com, the infosthetics blog, and by books such as Data Flow and Else/Where.
I wrote a review of Else/Where in Eye in 2006 (you can read it here) which took up the theme:
“Else/where reveals that, whereas the abstractions we use to represent relationships, dimensions and properties in the physical world are universally understood and ingrained in our consciousness, the visual language of intangible landscapes is immature”.
And In reference to one particular diagram:
“No matter how much well-researched data the Map of World Government contains within its frame, the message is unclear, the scale wrong, the detail obscured by arcane pictograms and its visual intensity diminished by over-reliance on text. This ‘map’ leaves its reader powerless. Like… Read full post
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Data viz talk sparks passionate debate (and a manifesto)
We already knew that people were passionate about data visualization, but the interest and debate sparked by Manuel Lima's recent talk at Made By Many has been quite something.For starters, we were almost twice oversubscribed for the talk and only just managed to squeeze everyone into the room (thanks to BBH London for hosting us).
Manuel provided a fascinating ‘deep dive into data visualization’ covering its academic beginnings, his experiences curating VisualComplexity.com and what he believes is needed for this discipline to blossom in the future.
However it was the Q&A and subsequent blog posts that showed how this topic can arouse quite passionate responses.
For anyone who missed out, here’s a 34 minute video of the talk (well, mainly a video of the screen with Manuel’s voiceover!).
MxM talk: Manuel Lima on data visualization from Made By Many on Vimeo.
(Or if you want a detailed write-up of the talk, head over to @joeadamfry’s excellent post here)
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New Made by Many Event: Manuel Lima – A deep dive into data visualization

The power and beauty of data visualization is something that the crew at Made By Many always get excited about.
Making previously ‘invisible’ information visible, not to mention aesthetically stunning, is a fascinating and rapidly growing field.
So I’m super-delighted to let you know that Manuel Lima, all-round dataviz guru, curator of the brilliant Visual Complexity blog, and recent TED speaker, will be speaking in London at BBH’s offices next Tuesday 25 August between 3.30-4.30pm.
Manuel will be re-presenting his TED talk on understanding complex interconnectedness and highlights from a range of fascinating information visualization projects. There will also be a chance for audience discussion and Q&A after the presentation.
There are very limited public seats available at this (free) event. To register your interest in attending, send your name and email address to justin AT madebymany.co.uk.
Here’s a map of the location. We’ll be starting right on 3.30pm so please get there a few minutes early.
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Aaron Koblin on data visualization
Data visualization artist Aaron Koblin gave a talk at BBH London yesterday which, being in the same building, we were lucky enough to be able to attend.
Aaron took us through his work, from his student days at UCLA where he worked on projects including the visualization of US flight patterns, to his work at Yahoo! and now Google Creative Labs (I’m sure some of you have seen the collapsing Google page experiments, which can be seen at Chrome Experiments - there are tons more and some of them are a lot of fun to look at, so you should!). A lot of his work, which you can find on his site, uses Amazon’s Mechanical Turk as a platform to channel the participation of thousands of people from across the world, all working in isolation from one another and with very limited knowledge of the projects they were working on. As Aaron mentioned, the interesting thing was to see how crowdsourcing in this manner is a good example of the sum of the parts being more intelligent than the individual parts themselves – a principle expounded on by James Surowiecki in The Wisdom of the Crowds.
Music fans are probably familiar with Aaron’s work for the Radiohead House of Cards video, which used no cameras or lights, but merely manipulated data using a lasers and sensors to capture 3D images. There’s a lot of information on the video, and the video itself, at the Google Code site, including a ‘Making of’ video that explains the process. Watching the House of Cards video in this context made me realise how far technology is really advancing (as with the Toshiba time-sculpture ad), and the seemingly endless things we can do when data and technology come together.
Data visualization is a subject that really interests us at Made By Many, and it was great to see someone so involved in his craft explain the topic with a range of examples of projects that he’s worked on closely. Aaron’s tips will be useful for anyone who has ever sighed while looking at mundane Excel data sheets, or even creative souls who hit that road block when engaging with data from time to time:
- Looking at data in different ways completely changes your perspective on it.
- Use multiple visualization techniques – there is no one best way.
- Think about data, not the ‘real world’.
- You don’t have to use all the data that you have at your disposal, so don’t feel pressurised to.
- Let your data free. The first thing that came to my mind when he said this was Radiohead’s ‘In Rainbows’ album (which was initially available on the web on a pay-as-much-as-you-think-it’s-worth basis), but I suppose that’s more a product than data per se!
- Work with Radiohead. OK, this was said as a joke but I guess working with someone who is ready to experiment with data, and, as Aaron said, people who are more talented than you always helps your own work.
Data visualization isn’t only about prettying up otherwise staid-looking numbers. Aaron’s work on the flight patterns made me recall this slide in a presentation by Matt Jones of Dopplr, who said that simply plotting the places members visited resulted in a map that was almost a replica of the world.

And in response to a question asked by someone in the audience, Aaron also said that visualizing day-to-day data, as Nicholas Feltron did with the Feltron Report, can give you a birds’-eye view of your whole life, and in the long run that kind of information is quite useful and interesting to have on a personal level.
We’re only at the beginning of the data visualization revolution.
