The art of Pi (`pi`), Phi (`phi`) and `e` // Martin Krzywinski / Genome Sciences Center. ▲ 2013 day ▲ 2014 day ▲ 2015 day ▲ 2014 approx day ▲ Circular art This section contains various art work based on , and that I created over the years. day art and approximation day art is kept separate.
All of the posters are listed in the posters section. Circular and spiral art based on the digits of , and . Read about how they were made and browse through the posters. Some of the art shown here has been featured in a Numberphile video. Fri 10-07-2015 The Jurassic World Creation Lab webpage shows you how one might create a dinosaur from a sample of DNA. . ▲ We can't get dinosaur genomics right, but we can get it less wrong. With enough time, you'll grow your own brand new dinosaur. What went wrong? ▲ Corn World: Teeth on the Cob. Thu 11-06-2015 I was commissioned by Scientific American to create an information graphic based on Figure 9 in the landmark Nature Integrative analysis of 111 reference human epigenomes paper. ▲ Network diagram redesign of the heatmap for a select set of traits.
Data Visualization, Design and Information Munging // Martin Krzywinski / Genome Sciences Center. Hive Plots - Linear Layout for Network Visualization - Visually Interpreting Network Structure and Content Made Possible.
Movement Visualisation. Data visualisation tools. 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? Dozens, maybe hundreds every year. 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. Designing Data with Data. 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. That’s great news for you: this means that you can come up with a unique point of view that reflects your interests and needs. I suppose the books you buy are consistent with that view. Let me give you my own example. 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. Weave (Web-based Analysis and Visualization Environment) Pictures of Numbers. Looking 4 data visualization.
Diagrams & charts tools. 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? Online Diagram Software and Flowchart Software - Gliffy. "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. Looking 4 data visualization. Tree Visualization. Data Visualization, Infographics, and Statistics.
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?
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? It is easy to argue that anything visual is a visualization in some way – but does that mean anything? Here is a definition of visualization and a few examples to illustrate the different criteria. Definition The following are three minimal criteria that any visualization has to fulfill to be considered a pragmatic visualization. The Visual Display of Quantitative Information. Visual Explanations: Quantities, Evidence.