http://visualization.geblogs.com/
Data Visualization: Modern Approaches - Smashing Magazine 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. Data visualization Data visualization or data visualisation is viewed by many disciplines as a modern equivalent of visual communication. It is not owned by any one field, but rather finds interpretation across many (e.g. it is viewed as a modern branch of descriptive statistics by some, but also as a grounded theory development tool by others). It involves the creation and study of the visual representation of data, meaning "information that has been abstracted in some schematic form, including attributes or variables for the units of information".[1]
All-In-One Business Dashboard Features Monitor Everything Monitor individual departments, multiple websites and anything else using dashboards. Pre-built Widgets Pull data from popular services like Google and Salesforce using pre-built widgets. Real-time Reports Events on Datavisualization.ch Reflections about the Open Knowledge Conference 2013 23 Sep 2013 Events, Opinions Conference, Reflection, Review I'd like to share with you a few key insights I took with me from the OKCon 2013 regarding contextualization of data, the future of social interaction, data privacy and our role in reshaping society. Read more Fidg't: Your Social Networking Address Book Explore your network with the Fidg't Visualizer* The Fidg't Visualizer allows you to play around with your network. You interface with the Visualizer through Flickr and LastFM tags, using any tag to create a Magnet. Once a Tag Magnet is created, members of the network will gravitate towards it if they have photos or music with that same Tag.
DataClarity Corporation - IBM SPSS Predictive analytics helps your organization anticipate change so that you can plan and carry out strategies that improve outcomes. By applying predictive analytics solutions to data you already have, your organization can uncover unexpected patterns and associations and develop models to guide front-line interactions. Discover patterns and trends in your structured and unstructured data IBM SPSS Modeler is a powerful, versatile data mining workbench that helps you build accurate predictive models quickly and intuitively, without programming. The Work of Edward Tufte and Graphics Press Edward Tufte is a statistician and artist, and Professor Emeritus of Political Science, Statistics, and Computer Science at Yale University. He wrote, designed, and self-published 4 classic books on data visualization. The New York Times described ET as the "Leonardo da Vinci of data," and Business Week as the "Galileo of graphics." He is now writing a book/film The Thinking Eye and constructing a 234-acre tree farm and sculpture park in northwest Connecticut, which will show his artworks and remain open space in perpetuity.
Graphical visualization of text similarities in essays in a book Early stages in the process While developing the visualization algorithms, we plotted out a lot of different approaches that in the end we discarded for one reason or another. Here you can look at some of them. Examples of final results McKinsey Web 2.0 Visualization For the past seven years, thousands of executives from around the world—across a range of industries and functional areas—have responded to a McKinsey survey on how organizations are using social (or Web 2.0) technologies. In 2009 we created an interactive tool that links the data from these survey results and charts it to the emerging trends in Web 2.0 adoption. This interactive focuses on several of the survey’s core questions—from what technologies and tools companies view as most important to what kind of investments, if any, organizations plan to make in Web 2.0 in the future.
Protovis Protovis composes custom views of data with simple marks such as bars and dots. Unlike low-level graphics libraries that quickly become tedious for visualization, Protovis defines marks through dynamic properties that encode data, allowing inheritance, scales and layouts to simplify construction. Protovis is free and open-source, provided under the BSD License. It uses JavaScript and SVG for web-native visualizations; no plugin required (though you will need a modern web browser)! Although programming experience is helpful, Protovis is mostly declarative and designed to be learned by example.
Tutorials How to Make a State Grid Map in R Something of a cross between a reference table and a map, the state grid provides equal space to each state and a semblance of the country to quickly pick out individual states. How to Make Animated Line Charts in R Sometimes it's useful to animate the multiple lines instead of showing them all at once. How to Make a Multi-line Step Chart in R
22 free tools for data visualization and analysis You may not think you've got much in common with an investigative journalist or an academic medical researcher. But if you're trying to extract useful information from an ever-increasing inflow of data, you'll likely find visualization useful -- whether it's to show patterns or trends with graphics instead of mountains of text, or to try to explain complex issues to a nontechnical audience. There are many tools around to help turn data into graphics, but they can carry hefty price tags. The cost can make sense for professionals whose primary job is to find meaning in mountains of information, but you might not be able to justify such an expense if you or your users only need a graphics application from time to time, or if your budget for new tools is somewhat limited. If one of the higher-priced options is out of your reach, there are a surprising number of highly robust tools for data visualization and analysis that are available at no charge. Data cleaning
Offers Businesses Seminars and Consulting on Better Charts and Graphs Our first example shows a before figure of multiple pie charts and an after figure of a diverging stacked bar chart. Click Here for a discussion of this figure. Our second example also shows a before figure of multiple pie charts. It’s a series of 42 pie charts presented by VIDA showing male and female representation in prestigious literary journals. We show the first two pies here; the original figure is available at the VIDA site.