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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. 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 presents the 200 most successful websites on the web, ordered by category, proximity, success, popularity and perspective in a mindmap. 2.

Newsmap is an application that visually reflects the constantly changing landscape of the Google News news aggregator. 3. 4. 5. 6. Visualization Strategies: Text & Documents » Tim Showers – Web Development, Design, and Data Visualization» Blog Archive. Whether it’s a campaign speech by a presidential contender, or a 300 page bestselling novel, large bodies of text are among the most requested topics for condensing into an infographic. The purpose can vary from highlighting specific relations to contrasting points or use of language, but all of the following methods focus on distilling a volume of text down to a visualization.

Volumetric Comparisons: Tag Clouds & Wordles: A Tag Cloud from Many Eyes Among the most common visualizations is the so called ‘Tag Cloud‘, which is just a list of words or descriptions that are sized by some relevance measure, usually number of repetitions in the data set. Tag clouds are often used to highlight and compare themes within the document, such as stripping down a U.S.

State of the Union Speech to its major keywords such as Iraq, Budget, etc. A Sample Wordle from Word Spectrum Diagrams World Spectrum Diagram from the Google Data Set Structure and Document Flow Document Contrast Diagrams. Workshop on Text Analysis - Visualizations: Lexical/Text. --D. Thiebaut 17:58, 6 March 2013 (EST) This page is maintained by Dominique Thiebaut and contains various interesting visualization examples or related material gathered on the Web, and in various publications.

Editing of this page by anonymous users is not enabled, but feel free to email with your own discoveries, which will be promptly added! The different visualization systems shown below are organized by application domains, and by type (borrowed and adapted from Viz4All). The application domains include: Stephen Fry and Kinetic Typography Category: Multimedia/Lexical-TextWhere: Roger's Creations on YouTube Implementation: Illustrator + AfterEffectsDate: April 2011 From Using the wonderful words of acclaimed writer, actor and allround know it all (I mean that in the best of ways) Stephen Fry I have created this kinetic typography animation.

What the world thinks of Bin Laden Best Places where to Work The best companies to work at, in the States. Visnomad. Tapor. DocuBurst. 50 Great Examples of Data Visualization. Wrapping your brain around data online can be challenging, especially when dealing with huge volumes of information.

And trying to find related content can also be difficult, depending on what data you’re looking for. But data visualizations can make all of that much easier, allowing you to see the concepts that you’re learning about in a more interesting, and often more useful manner. Below are 50 of the best data visualizations and tools for creating your own visualizations out there, covering everything from Digg activity to network connectivity to what’s currently happening on Twitter. Music, Movies and Other Media Narratives 2.0 visualizes music. Liveplasma is a music and movie visualization app that aims to help you discover other musicians or movies you might enjoy. Tuneglue is another music visualization service.

MusicMap is similar to TuneGlue in its interface, but seems slightly more intuitive. Digg, Twitter, Delicious, and Flickr Internet Visualizations. The Graphic Account: 1-16-13. Part of the beauty of working with data is how many interesting things you learn. For instance, this week we discovered that Fantine from Les Miz coughs more than any other character, Raiders of the Lost Ark looks a little like a Family Circus cartoon, and that Canada’s leaders are the most educated in the world. But that’s just the beginning. Take a peek below at this week’s roundup of all things data for the best in information design. Missed last week’s post? Get caught up here. Novel Views To coincide with the recent release of the film, Novel Views is a series of visualizations of the novel Les Misérables by Victor Hugo. Bar-Chart Chip Creates Infographic from Blood Measurements The chip is only about the size of a credit card, but it is able to reveal 50 test results, including insulin levels, cholesterol and bacterial infections, from just one small sample of blood by linking measurements of concentration with oxygen production.

The Beat How Educated Are Our World Leaders? Why D3.js is So Great for Data Visualization. When D3 came out in 2011, it became clear pretty quickly that it was going to be a powerful tool for creating data visualizations. But it’s certainly not the first — or only — tool. Why did it succeed when so many other libraries have failed? First of all, it works on the web. Data visualizations are only good if people see them, and there’s no better place to see them than on the internet, in your browser.

Protovis was the first library to make any real headway in this direction, despite other libraries and services that tried. Manyeyes is cool, but it lacks graphic flexibility and the resulting visualizations can’t just live anywhere seamlessly. Another reason it has worked so well is because of its flexibility. All of these features have been timed perfectly to coincide with the rise of new browsers and a push towards documents created using open standards rather than relatively walled-in plugins. So how about D3′s disadvantages?

Cluster Dendrogram. EDC: Set Visualiser. Set Visualiser is a tool developed to visualise the way that a number of items is classified into one or more categories or sets using Euler diagrams. This approach has the advantage that the visualisation can represent non-hierarchical classifications, in which an item may belong to more than one category. An example visualisation is shown on the right, and a more complex visualisation (based on data extracted from our publications database) is shown at the bottom of the page. Set Visualiser is freely available - click here to download a .zip file containing the program, an example file, and the manual in PDF form. (Alternatively, you can download the manual separately.) Details of the algorithm are given in an academic paper, currently in preparation. Set Visualiser is written in Java and uses the following libraries (copies of which are distributed with the program): Please contact David Wyatt for further information, to make suggestions or to report a bug.

Hive Plots - Linear Layout for Network Visualization - Visually Interpreting Network Structure and Content Made Possible. Calendar View. Processing.js. Paper.js - Paper.js. Standing on the shoulders of Scriptographer and making use of HTML5 standards, Paper.js is a comprehensive open source vector graphics scripting framework.

Document Object Model Paper.js provides a Document Object Model (also called a Scene Graph) that is very easy to work with. Create a project and populate it with layers, groups, paths, rasters etc. Groups and layers can contain other items and even other groups. If you've never heard of a Document Object Model before, you can think of it as the layers palette of applications such as Adobe Illustrator & Adobe Photoshop. The image on the left is an illustration of the structure of the project after executing the code below, if you would be looking at it in an application like Adobe Illustrator. Learn more about the Document Object Model in the Document Hierarchy tutorial. Paths & Segments Paper.js makes is very easy to create paths and add segments to them. Learn more about paths and segments in the Working with Path Items tutorial.

Symbols. Raphaël—JavaScript Library. Edit fiddle. Timeline for d3 - proof-of-concept. Timeline for d3 - proof-of-concept This chart shows events, that have a defined start and/or end in the time continuum in form of a timeline or timechart. Events can be instants (one date only) or intervals (start date and end date). The timeline consists of two bands. The upper band shows the timeline items with data within the selected timeline interval. Click on the brush and drag to move the interval. Acknowledgements This work was inspired by 'Simile Timeline' by 'David François Huynh' ( and 'Swimlane Chart using d3.js' by Bill Bunkat ( The file structure Any csv data file with the following line structure will do: start,end,label ...,...,...

The first line contains the field names. Intervals have a 'start', an 'end', and a label. Instants have a 'start', an EMPTY 'end', and a label. Optional additional fields (i.e., 'description', 'image', 'link', etc.) are not used in this version, but will be in future versions. Swimlane Chart using d3.js. Timeline JS - Beautifully crafted timelines that are easy, and intuitive to use. Timeline.