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The Functional Art: An introduction to information graphics and visualization (Voices That Matter): 9780321834737: Computer Science Books @ Amazon.com. The Functional Art: An Introduction to Information Graphics and Visualization. Data Visualization: Modern Approaches. About The Author Vitaly Friedman loves beautiful content and doesn’t like to give in easily. When he is not writing or speaking at a conference, he’s most probably running … More about Vitaly Friedman … Data presentation can be beautiful, elegant and descriptive. 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.

Data presentation can be beautiful, elegant and descriptive. 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. 1. Trendmap 2007 Informationarchitects.jp presents the 200 most successful websites on the web, ordered by category, proximity, success, popularity and perspective in a mindmap. 2. Visualizing Cultural Data.

Tutorials

Uk.sagepub. Resources. Maps. Why Are Data-Viz Designers So Obsessed With Circles? In 1726, Filippo Juvarra put the finishing touches on the dome of the Basilica of Superga, an intricately designed church in Turin, Italy.

Why Are Data-Viz Designers So Obsessed With Circles?

The artist painted the interior roof of the building with a kaleidoscopic pattern that when paired with the dome’s ring of windows creates the effect of ornate, concentric circles. Nearly 300 years later, in the French town of Cessy, engineers finished building the Compact Muon Solenoid, a massive particle detector that, when viewed in cross-section, bears a striking resemblance to Juvarra’s circular basilica dome. “These things look so similar, and yet they’re separated by 300 years,” says Manuel Lima. “One is all about religion and spirituality and the other is about science.” Lima, a design lead at Google and creator of the website Visual Complexity, was intrigued by the circle’s ubiquity.

In his new book, Lima attempts to find out.

Data Visualization Studios

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.

The art of Pi (`pi`), Phi (`phi`) and `e` // Martin Krzywinski / Genome Sciences Center

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. 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. Data Visualisation Examples.

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)

40 must-see vídeos about data visualization and infographics

Designing Data with Data. Data visualization books: How to start your personal library The Excel Charts Blog. There are many approaches to data visualization.

Data visualization books: How to start your personal library The Excel Charts Blog

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 Design Numbers & Decision Making Excel & Dashboards. 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.

Diagram Software - The Best Choice for Diagramming

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. 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.”

"Generative Design" – A Computational Design Guidebook - Review

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.

Data Visualization. Datavisualization.ch. Visualising Data. 37 Data-ish Blogs. You might not know it, but there are actually a ton of data and visualization blogs out there.

37 Data-ish Blogs

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?

What is Visualization? A Definition

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. 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 Visual Display of Quantitative Information.

Visual Explanations: Quantities, Evidence. Information Is Beautiful. Information Aesthetics. Visualizing Music. Envisioning Information.