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Making Sense of the Data, Part 1. This post is an adaptation of my presentation at the 2011 HOW Interactive Design Conference in San Francisco.

Making Sense of the Data, Part 1

I included a variety of slide transitions in my talk, so in some cases below, I’ve consolidated slide groups into animated GIFs. Keep your eye out for those so you don’t miss any details. Do you remember your last yearly physical? Mine was sometime before the Obama administration, so I guess that’s what I mean by “yearly.” I should go every year, and you’d think that would be a reasonable goal to set—just one visit per year—but I just can’t seem to stick to it. Infographics Are the Communication Paradigm of the Future. These days, infographics are becoming ubiquitous.

Infographics Are the Communication Paradigm of the Future

Some infographics have become famous and are used by millions over several years (like the USDA MyPlate poster) while others are just normal print journalism passing by as daily news (you can peruse these examples for some recent newsy infographics). There is a long history of infographics and some could argue that they have been around for thousands of years. As we understand them today, however, the modern infographic took early shape in the 1800s. The hidden legacy of Bertin and “The Semiology of Graphics”

The Semiology of Graphics (SOG) is a kind mythical book.

The hidden legacy of Bertin and “The Semiology of Graphics”

Everybody knows the title, but few actually know its content. I already suspected it since a long time but this was confirmed by Jean-Daniel Fekete in my interview in my last post. But this is not because people are lazy, it is more, I suspect, that it has always been hard to find a copy, especially in English. And I am also guilty. Apart from reading the short abstract contained in Readings in Information Visualization, I never had the book in my hands until few weeks ago (a French copy of 1967! TO UNDERSTAND IS TO PERCEIVE PATTERNS. Data Visualization for Human Perception. Gallery of Data Visualization - Bright Ideas. Remixing Rosling.

The Church of London commissioned me to remix two of the famous Gapminder bubble graphics to illustrate an interview with Hans Rosling for Google's "Think Quarterly" Magazine.

Remixing Rosling

Fertility and life expectancy This graphics is a condensed, and static version of one of Gapminder's famous animated "worm" graphics. Scaling the diameters of the circles according to the years, and then connecting them, induces a sense of motion over time, even in this static image. It is fascinating to see how Vietnam is today on the same level as the US in 1980 with respect to the fertility rate and life expectancy. Also note how the dip in Botswana's curve reflects the drastic effects of AIDS in this country in the 1980s.

Child mortality This chart dramatically shows how Bangladesh manages to reduce its child mortality with a rate faster than Sweden ever did. Full magazine See the graphics as used in the magazine, and browse the whole issue below, or download it as a .pdf file (24MB). Moritz.stefaner.eu - / Beliv06 - 23 May 2006 - Home Page. News [Jul'07] BELIV'08, a new edition of the workshop, will be hosted at ACM CHI 2008 in Florence, Italy on 5 Apr 2008.

Beliv06 - 23 May 2006 - Home Page

Deadline for submission is 30 Oct 2007. For more info see the BELIV'08 workshop website. [May'07] Workshop report published in the ACM <inteactions> magazine: [Dec'06] A draft of the BELIV'06 workshop report is available online. [Nov'06] Workshop proceedings now available in the ACM Digital Library (paper titles below now link to their location in the ACM DL): Workshop description Controlled experiments remain the workhorse of evaluation but there is a growing sense that information visualization systems need new methods of evaluation, from longitudinal field studies, insight based evaluation and other metrics adapted to the perceptual aspects of visualization as well as the exploratory nature of discovery.

Topics of Interest Topics include, but are not limited to: Format of the event (1 full day) Ideally, about 20 participants will attend the workshop. Resources. Enrico Bertini. Enrico.bertini.me/material/biovis2011-hitsee.pdf. Enrico.bertini.me/material/infovis2011-qm-taxonomy.pdf. Enrico.bertini.me/material/eurovis2012-anim-sm.pdf. Enrico.bertini.me/material/tvcg2011-seven-scenarios.pdf. Enrico.bertini.me/material/tvcg2011-seven-scenarios.pdf. Enrico.bertini.me/material/infovis2011-cloudlines.pdf. Fell in Love with DataA podcast on data visualization with Enrico Bertini and Moritz Stefaner. This is onformative a studio for generative design. Pretty pictures: Can images stop data overload? 16 April 2012Last updated at 19:01 ET By Fiona Graham Technology of business reporter, BBC News Brain scan: Research suggests that one way to avoid being overloaded by data is by presenting it visually rather than text or numbers Sitting at your desk in the middle of the day, yet another email notification pops up in the corner of the screen, covering the figures you're trying to digest in the complicated spreadsheet in front of you.

Pretty pictures: Can images stop data overload?

Your laptop is open on the desk next to you with another set of figures you need - meanwhile you're frantically tabbing through different documents on the main screen. You have a meeting in 20 minutes and you suddenly feel as if you're swimming in a sea of impenetrable data, and you're starting to sink. Welcome to the 21st Century workplace, and "data overload". Under siege You're not alone. Dr Lynda Shaw is a neuroscience and psychology lecturer at Brunel University in the west of London. Introducing the Knowledge Graph. The Work of Edward Tufte and Graphics Press. Graphics Press LLC P.O.

The Work of Edward Tufte and Graphics Press

Box 430 Cheshire, CT 06410 800 822-2454 Edward Tufte is a statistician and artist, and Professor Emeritus of Political Science, Statistics, and Computer Science at Yale University. He wrote, designed, and self-published 4 classic books on data visualization. The New York Times described ET as the "Leonardo da Vinci of data," and Business Week as the "Galileo of graphics. " Perception and visualization - 02_perception-visualization_1up.pdf. What is Data Visualization? Designing Visualizations for Time-Based Data. A Tour Through the Visualization Zoo. Jeffrey Heer, Michael Bostock, and Vadim Ogievetsky Stanford University Introduction Thanks to advances in sensing, networking, and data management, our society is producing digital information at an astonishing rate.

A Tour Through the Visualization Zoo

According to one estimate, in 2010 alone we will generate 1,200 exabytes — 60 million times the Library of Congress. Moments of innovation – data visualization. Data Visualization: Modern Approaches. Data presentation can be beautiful, elegant and descriptive.

Data Visualization: Modern Approaches

There is a variety of conventional ways to visualize data – tables, histograms, pie charts and bar graphs are being used every day, in every project and on every possible occasion. However, to convey a message to your readers effectively, sometimes you need more than just a simple pie chart of your results. In fact, there are much better, profound, creative and absolutely fascinating ways to visualize data.

Many of them might become ubiquitous in the next few years. So what can we expect? Let’s take a look at the most interesting modern approaches to data visualization as well as related articles, resources and tools. Expose Data. A Periodic Table of Visualization Methods. Infographics & Data Visualisation. Graphical visualization of text similarities in essays in a book. Relation Browser / Visualisations showing relations.

Emerging Information Architectures « Srinivas Reddy’s Weblog. Having just read the book on “Beautiful Data” I would like to share some of my insights/learning’s from it.

Emerging Information Architectures « Srinivas Reddy’s Weblog

The book provides examples of elegant data solutions from different domains (including space, music, medical research, web apps, government data,..). A common pattern across domains is the need for smart handling of large data sets in the different stages of information processing (be it for data collection, storage, processing, visualization or collaboration around data). While ‘beauty’ (be it in data, code, art, person..) lies in the eye of the beholder, there can be some common metrics for it.