Datavisualization.ch FlowingData | Data Visualization, Infographics, and Statistics Pictures of Numbers What is Visualization? A Definition What is a visualization? The word is problematic, and there have been very few definitions that try to define this field we are working in. More importantly: what is not a visualization? Definition The following are three minimal criteria that any visualization has to fulfill to be considered a pragmatic visualization. Based on (non-visual) data. This definition was published in a paper on Visualization Criticism, part of which I discussed in an earlier posting. Examples The following examples show how these criteria provide a clear separation of visualization (in the sense of scientific and information visualization) and other kinds of data transformations that result in images. MilkDrop is one of the most impressive music visualizers. VisualIDs are a very clever idea to help the user tell files apart: they produce images from the names of files to produce visually similar (but still distinct) icons for files with similar names. Conclusion 小草莓 has translated this article into Chinese!
Data visualization books: How to start your personal library The Excel Charts Blog There are many approaches to data visualization. Take well-know authors like Tufte, Cleveland, Ware, Few, Bertin or McCandless. There is some overlap, but they all approach data visualization from a different angle. I suppose the books you buy are consistent with that view. So, after reading Enrico’s last post, The Data Visualization Beginner’s Toolkit I decided to follow Andy Kirk’s suggestion (“as many people as possibly should share what helped them”) and list my entire data visualization library. Italicized titles are books I have access to, but I should buy them anyway. Theory Other Authors: Presentations Perception Design Numbers & Decision Making Excel & Dashboards
"Generative Design" – A Computational Design Guidebook - Review “The main change in the design process achieved by using generative design is that traditional craftsmanship recedes into the background, and abstraction and information become the new principal elements.” Thus reads a rather pertinent nugget of wisdom tucked into the concluding notes of Generative Design: Visualize, Program and Create with Processing, an epic computational design text by Hartmut Bohnacker, Benedikt Groß, Julia Laub and editor Claudius Lazzeroni. With that point, the authors are describing how the syntax of code and data are intrinsically tied to new modes of composition and production. This statement also speaks to the organizational logic of the book, which weighs-in at a whopping 470 pages of thoughtfully categorized generative strategies that have been broken down into bite-sized thematic walkthroughs. Purchase on Amazon. We have an extra copy for our members to give away. (Video of the german edition of the book below) Generative Gestaltung from onformative on Vimeo.
Diagram Software - The Best Choice for Diagramming All-in-one diagram software that makes it perfect for the following diagram software types. What's the diagram solution? Buy one diagram software that suits one group but forces the other to compromise and make do? Or purchase some separate diagram software for each department's special needs and hope that your company approves the purchase? What about none of the above? Edraw Max lets you create graphics and diagrams to suit all of these requirements and much more. Business Diagram Software Easy to create the audit diagram, workflow diagram, mind maps, cause-and-effect diagram, brainstorming diagram, data flow diagram, EPC diagram, process, list, chart and Fault Tree diagrams. Flow Diagram Software Easy to create flowcharts, BPMN diagram, cross functional flowchart, data flow diagram, IDEF0 diagram, SDL diagram and highlight flowchart. Project Management Diagram Software UML Diagram Software Network Diagram Software Organizational Chart Software Business Form Software Floor Plan Software
37 Data-ish Blogs You might not know it, but there are actually a ton of data and visualization blogs out there. I'm a bit of a feed addict subscribing to just about anything with a chart or a mention of statistics on it (and naturally have to do some feed-cleaning every now and then). In a follow up to my short list last year, here are the data-ish blogs, some old and some new, that continue to post interesting stuff. Data and Statistics By the Numbers - Column from The New York Times visual Op-ed columnist, Charles Blow, who also used to be NYT's graphics director.Data Mining - Matthew Hurst, scientist at Microsoft's MSN, also the co-creator of BlogPulse.Statistical Modeling - We might disagree on certain things, but Andrew's blog is one of the few active pure statistics blogs.The Numbers Guy - Data-minded reporting from Carl Bialik of the Wall Street Journal.Basketball Geek - Like statistical analysis and basketball? Statistical/Analytical Visualization Maps Design & Infographics Others Worth Noting
Looking 4 data visualization 40 must-see vídeos about data visualization and infographics Our selection of keynotes, TED Talks and interviews by some of the top names in the field (The Joy of Stats, by Hans Rolling, one of the must-see videos) After the success of our collection of data visualization presentations a few weeks ago, we decided to push even further our research of multimedia resources and take the risk of selecting some videos. And we say risk, because the abundance of data visualization videos on the Internet is simply mind-blowing. Just think about it: How many events are there about information visualization? That means that a lot of good stuff was left behind, so apologies for that – but feel free to leave your recommendations in the comments section. [Update: We are receiving some great suggestions of other videos worth watching, so we'll keep growing this list. Journalism in the Age of Data The famous video by Geoff McGhee. The Data Journalism Handbook Shan Carter | Geoff McGhee | Edward Segel at Data Vis Meetup Another classic. Jer Thorp: Make data more human
Hive Plots - Linear Layout for Network Visualization - Visually Interpreting Network Structure and Content Made Possible Data Visualization, Design and Information Munging // Martin Krzywinski / Genome Sciences Center