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5 Free Tools for Creating Infographics

5 Free Tools for Creating Infographics | visual data | Scoop.it
From www.business2community.com - October 22, 2012 5:11 AM

Generally, people don’t have the time or energy to sit and plow through pages or screens of text; they want to be able to ingest information as quickly and easily as possible. With the recent rise of infographics (information graphics), what used to require an avalanche of stats or analyses to dissect, can now be interpreted and relayed into an easy-to-read, fun, and visually appealing schematic – and an excellent content marketing concept. Infographics, when designed well, can be applied to different online sites and social networks.

Summarized at the article are 5 free tools (with links) that allow you to start creating simple infographics or explore the potential of data visualization...

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Top 3 Common Mistakes of Infographic Designers

Top 3 Common Mistakes of Infographic Designers | visual data | Scoop.it
From creativelayers.in - August 30, 2012 7:06 AM

An infographic is a very useful tool to present data to people in an easier manner using visuals. It combines facts via words and accompanied logically by graphic designs into one image.

In this article, we will take a deeper look into what infographic really is and what it should be, and of course the top 3 common mistakes that designers commit when they create those...

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d3.js ~ Examples of Visualization Types

d3.js ~ Examples of Visualization Types | visual data | Scoop.it
From mbostock.github.com - November 16, 2011 2:30 PM

D3 is not traditional visualization framework. Instead of a system with all the features one may ever need, D3 solves the crux of the problem: efficient manipulation of data-based documents. This gives flexibility, exposing the full capabilities of underlying technologies such as CSS3, HTML5 & SVG.

With minimal overhead, D3 is extremely fast, supporting large datasets and dynamic behaviors for interaction and animation. And, for those common needs, D3’s functional style allows code reuse through a diverse collection of optional modules.

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Infovis, infographics, and data visualization: Statistical Modeling, Causal Inference, and Social Science

Infovis, infographics, and data visualization: Statistical Modeling, Causal Inference, and Social Science | visual data | Scoop.it
From andrewgelman.com - August 29, 2011 1:08 PM

My first goal is to get statisticians and social science researchers to think more about their goals in displaying numerical information. It would be great if infovis could inspire and empower researchers to better visualize their data, models, and inferences.

My second goal is for graphics designers and creators of information visualization tools and infographics to become aware of a statistical perspective in which a graph can not only be evocative of data but can also convey quantitative comparisons. Appreciating new tools is fine, but I think infovis could also benefit from focused criticism and improvement, which might start with refections on the goals of any graph.

My third, modest, goal is for statisticians and graphics designers alike to consider the virtues of multiple displays: maybe an infographic to grab the reader’s attention, followed up by a more conventional dotplot or lineplot to display as much of the data as possible, and maybe then an unusual and innovative plot that might be hard to read but might inspire some out-of-the-box thinking.

One way to get the best of both worlds is to recognize the limitations of our separate approaches. On the web, there’s plenty of space for multiple visualizations of the same data...

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Graphing the history of philosophy

Graphing the history of philosophy | visual data | Scoop.it
From drunks-and-lampposts.com - July 2, 2012 12:31 AM

Each philosopher is a node in the network and the lines between them (or edges in the terminology of graph theory) represents lines of influence. The node and text are sized according to the number of connections. The algorithm that visualises the graph also tends to put the better connected nodes in the centre of the diagram so we the most influential philosophers, in large text, clustered in the centre. It all seems about right with the major figures in the western philosophical tradition taking the centre stage. (I need to also add the direction of influence with a arrow head – something I’ve not got round to yet.)

A shortcoming however is that this evaluation only takes into account direct lines of influence. Indirect influence via another person in the network does not enter into it. This probably explains why Descartes is smaller than you’d think.

It gets more interesting when we use Gephi to identify communities (or modules) within the network. Roughly speaking it identifies groups of nodes which are more connected with each other than with nodes in other groups. Philosophy has many traditions and schools so a good test would be whether the algorithm picks them out...


Via Martin Daumiller
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A Visual Thesaurus of the English Language

A Visual Thesaurus of the English Language | visual data | Scoop.it
From infosthetics.com - October 31, 2011 12:39 PM

One of the very first examples of visualization that succeeds in merging beauty with function is Visual Thesaurus, a subscription-based online thesaurus and dictionary that shows the relationships between words through a beautiful interactive map.

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