Can someone please stop the infographic madness? A few years ago, we started doing info graphics by actually doing a lot of research on data and then working with a great group of guys to create art and visualization. One of them was good enough to be linked from Apple’s website. Old magazine hands called these infographics, charticles. Wired and the old Red Herring were particularly good at this stuff. (No surprise, because my former editor and goddess of the charticle, Joanna Pearlstein works(worked) for both those publications.) Mint, a financial management company did a great job of using infographics to draw attention to their blog and by extension to their service. It is my belief that in modern times, no success goes unpunished. What has really happened is that social media experts discovered that people like to share infographics and many folks like to embed them in their tumblers and blogs. Like this: Like Loading...
Data visualisation: in defence of bad graphics | News Are most online data visualisations, well, just not very good? It's an issue we grapple with a lot - and some of you may have noticed a recent backlash against many of the most common data visualisations online. Poor Wordle - it gets the brunt of it. It was designed as an academic exercise that has turned into a common way of showing word frequencies (and yes, we are guilty of using it) - an online sensation. There's nothing like ubiquitousness to turn people against you. In the last week alone, New York Times senior software architect Jacob Harris has called for an end to word clouds, describing them as the "mullets of the Internet". While on Poynter, the line is that "People are tired of bad infographics, so make good ones" Awesomely bad infographics from How to Interactive Design Photograph: How To Interactive Design Grace Dobush has written a great post explaining how to produce clear graphics, but can't resist a cry for reason. What's the big deal? A little extreme, no? More open data
International Statistical Literacy Project home The International Statistical Literacy Project (ISLP) is a project initiated by the International Association for Statistical Education➶ (IASE), which is the education section of the International Statistical Institute➶ (ISI). The main objective of the ISLP is to contribute to promoting statistical literacy across the world, among young and adults, in all walks of life. To this end, we provide an online repository of international resources and news in Statistical Literacy, international activities to promote the resources and the individuals and institutions behind them, and outreach activities to increase awareness. Contact the IASE Executive➶ or the ISLP Director Reija Helenius➶ by e-mail if you have any questions. New Country Coordinator in Finland - Welcome to the ISLP team Jaana Kesti!
What Exactly Is Visualization? I love a good visualization. I’ve always been fascinated by those images that manage to inform and entertain at the same time. From time to time I’ve tried to supply tips and insight to help those interested in creating better visualizations. One morning while researching data visualizations I thought to myself “what really makes up visualization”, is it definable? So I did what most of us do when we’re in search for information; I Googled it. After a few minutes of clicking various links I came across an awesome post from Column Five Media that tries to explain what makes up good visualization that I wanted to share with you. Before I attempt to define what visualization is, let’s frame this discussion up a little bit. His early work really introduced the general public to data visualization. According to Yau, you need to think of data visualization as “a medium. The best way to define visualization is as Yau described it, as a medium. Related
Paper: Privacy-Preserving Visualization The point of visualization is usually to reveal as much of the structure of a dataset as possible. But what if the data is sensitive or proprietary, and the person doing the analysis is not supposed to be able to know everything about it? In a paper to be presented next week at InfoVis, my Ph.D. student Aritra Dasgupta and I describe the issues involved in privacy-preserving visualization, and propose a variation of parallel coordinates that controls the amount of information shown to the user. Naive Approaches As with everything else, there is an obvious solution to this problem that doesn’t work. While this is obviously useless for visualization, this is the way the data can be passed on to third parties without knowledge about what they are going to do with it, while guaranteeing a minimum level of privacy. A Visualization Solution But what if we know a bit more? The result is much fuzzier than regular parallel coordinates, but that is of course the point.
Rulers Guest Post: The Future of Data Visualization Data is everywhere - and readily accessible The open data movement is finally beginning to have some real impact. Governments are beginning to open up and give people access to the data they have rights to. Some corporations are realizing they don’t need to keep closed doors on all of their data, especially if they are doing the right thing anyway. The number of places to find open data on the web is growing rapidly, and shows no signs of slowing. A D3 visualization of unemployment in the US from Nathan Yau, data via the BLS Technology determines how we develop and consume visualizations The devices we use to view data visualizations have changed drastically with the advent of tablets, smartphones and other portable computing devices. Other technologies in the visualization chain are constantly evolving, as well. These trends set the stage for some pretty impressive changes in data visualization -- yet some things will not change. The chart types that exist are not going to change much.
An Information Visualization Exercise | Dashboard Spy Want to play a game with The Dashboard Spy and Information Visualization expert Stephen Few? In his blog post, The Billion Pound-o-Gram Redesigned, he takes a stab at redesigning a pretty well known chart by David McCandless. Take a look at the original chart here: Here is how it appeared in Guardian.co.uk’s Information is Beautiful Friday: The Billion Pound-o-Gram 289 billion spent on this. 400 billion spent on that. So, now for the game. Here is what he had to say: All of these comparisons are incredibly simple to make using the bar graph below. So, which version do you like and why? Hubert Lee The Dashboard Spy More business intelligence dashboards related to An Information Visualization Exercise
About us Role The National Audit Office (NAO) scrutinises public spending on behalf of Parliament. Our audit of central government has two main aims. By reporting the results of our audits to Parliament, we hold government departments and bodies to account for the way they use public money, thereby safeguarding the interests of taxpayers. The Audit and inspection rights are vested in the head of the National Audit Office, the Comptroller and Auditor General (C&AG). Independence The Comptroller and Auditor General, Amyas Morse, is an Officer of the House of Commons. Strategic Priorities Our work reveals recurring issues across different government departments and bodies, including three general areas where we have found that improvement is frequently needed. Other bodies The NAO does not audit local government spending, publish statistical information or audit the spending of the devolved governments in the rest of the UK. For UK Statistics - see the: Office for National Statistics
Scientists Say Infographics Can Save Morons From Themselves. Really? | Co.Design It’s a sad fact of our cultural moment that anyone can marshall their own "facts" to support just about any argument or political position imaginable. (Thanks, Internet.) What’s worse, psychology studies have shown that rebutting factually impoverished arguments with actual facts has precisely the opposite effect one would hope: it actually makes people cling even tighter to their fictions. Is there anything that can cut through this Gordian knot of nonsense? Political scientists Brendan Nyhan and Jason Reifler designed some experiments to test the efficacy of graphical "correctives" to inaccurate beliefs. Why might this be? But there’s a big hole in this whole conceit. Here’s a simple example. But you don’t even have to get all mathy and technical to pull a fast one with shoddy infographics. Regardless of whether Nyhan and Reifler’s results are sound, their hypothesis underscores the fact that visual communication is a powerful tool that can be used for good or ill.