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Statistical Graphics and more » Blog Archive » Statistical Graphics vs. InfoVis

Statistical Graphics and more » Blog Archive » Statistical Graphics vs. InfoVis
The current issue of the Statistical Computing and Graphics Newsletter features two invited articles, which both look at the “graphical display of quantitative data” – one from the perspective of statistical graphics, and one from the perspective of information visualization. Robert Kosara writes from an InfoVis view: Visualization: It’s More than Pictures! Information visualization is a field that has had trouble defining its boundaries, and that consequently is often misunderstood. It doesn’t help that InfoVis, as it is also known, produces pretty pictures that people like to look at and link to or send around. But InfoVis is more than pretty pictures, and it is more than statistical graphics. The key to understanding InfoVis is to ignore the images for a moment and focus on the part that is often lost: interaction. … read on in the Newsletter. Andrew Gelman and Antony Unwin write from an statistical graphics view: Visualization, Graphics, and Statistics Related:  Introduction to Data VisualizationDataVis Tutorials - Principles

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...

How infographics jumped the shark We’ve tumbled headlong into the era of infographics. Visual presentations of data are everywhere, popping up on every type of online publication (even VentureBeat). There are so many infographics on the Internet that some bloggers are lashing out against the trend, and there’s even a subset of infographics mocking the uselessness of infographics. “I think you’re going to see infographics on the side of milk cartons, if you haven’t already,” said co-founder Lee Sherman. Infographics are incredibly useful for cutting through today’s data overload, but their proliferation puts them at risk of being overused, and their impact diluted. Why we need infographics The infographic is a picture painted with data. We live in an era of big data, where our every action spins off gigabits of information, both meaningful and mundane. Good visual stories don’t necessarily need to dive as deep as Minard did. Telling the good from the bad And too many infographics seem to be gagging the data.

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

Ending the Infographic Plague Now that Obama's dog has won the War on Christmas, or something, it's time to get down to a war that really matters: the war on terrible, lying infographics, which have become endemic in the blogosphere, and constantly threaten to break out into epidemic or even pandemic status. The reservoir of this disease of erroneous infographics is internet marketers who don't care whether the information in their graphics is right ... just so long as you link it. As a Christmas present to, well, everyone, I'm issuing a plea to bloggers to help stop this plague in its track. Below the break, a tour of some of the more egregious examples, and some thoughts on why they've become so prevalent. For those of you who can't sit through all that boring writing, however, I will first deliver my message in--ahem! Remember this gem? Terrifying! Except, er, no. And who could forget this stunner? What is wrong with our values?! What is wrong with this infographic? This morning, I saw this at E.D.

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.

Interactive: The New Wave of Infographics | Onextrapixel - Web Design & Development Magazine Infographics (or information graphics) are everywhere these days. Intended to deliver large amounts of information in a visual format, the key to a ‘good’ infographic is the story it tells. From a user’s perspective, the value from an infographic comes from the information it contains and the way in which it’s presented. People should feel a little smarter after reading through an infographic, or at least have some cool trivia to drop into conversations. Image credit: How Many Households Are Like Yours? Organisations use infographics for a variety of reasons - building brand awareness, PR and gaining links back to their site, which can have a positive impact on their Google rankings. The State of Infographics Today Currently infographics are popping up every day across the Internet and are being produced by individuals, companies and online agencies of various sizes. What is Coming Next? Examples of New Trends The Future of Infographics