Taxonomy for interactive visual analysis
Interactive visualization continues to grow more useful and prominent in every day analysis. Jeffrey Heer and Ben Shneiderman offer a taxonomy for the budding field. Visualization provides a powerful means of making sense of data. [ACM Queue via @krees]
China Global Investment Tracker Interactive Map
China's investment in the U.S. and around the world saw steady growth in 2013. The China Global Investment Tracker created by the American Enterprise Institute and The Heritage Foundation is the only publicly available, comprehensive dataset of large Chinese investments and contracts worldwide (excluding bonds). Details are available on over 1100 attempted transactions -- failed and successful – valued at more than $100 million in all industries, including energy, mining, real estate, and transportation. Showing Data For : Select a Country from the list Worldwide Angola Chile Oman Papua New Guinea Saudi Arabia Canada Algeria Iran Indonesia Mauritania Turkey Britain Myanmar Kazakhstan Ecuador Australia Venezuela Syria Brazil Cuba France Nigeria Cambodia Qatar Sri Lanka Russian Federation Vietnam Japan Colombia Ethiopia Egypt South Africa Zambia Laos Yemen Pakistan Netherlands Singapore Chad Peru India Libya Kuwait Ghana Equatorial Guinea Germany Mexico Congo Azerbaijan Tanzania Jordan Afghanistan Belgium Zimbabwe Iraq Philippines Uzbekistan Kenya
Designing Data Visualizations Workshop: Strata 2012 - O'Reilly Conferences, February 28 - March 01, 2012
Attendees: All attendees should bring paper an pen for quick sketching. Attendees should bring their own data to work with. Alternately, they can download interesting data sets from sites such as infochimps.com, buzzdata.com, and data.gov. People with access to a windows machine might want to install Tableau Public. We will discuss how to figure out what story to tell, select the right data, and pick appropriate layout and encodings. We’ll briefly discuss tools, including pencil and paper. Understanding of your specific data or data types will help immensely.
Pictogram History Posters by H-57
EmailEmail If you like history, black humor and minimalism in design, then we have a perfect mix for you – pictogram history posters by H-57. “The pictogram history posters were born out of an art-like collaboration with the website First Floor Under, which is a creativity and photography blog, a digital publishing house” says a representative from H-57. “We had the honor and the luck to be selected for the part concerning design and typography, and that’s how H-57 started its section called Typodesign. H-57 works as a advertising agency, design studio and experimental laboratory. Websites: firstfloorunder.com | h-57.com
Why Is Data Visualization So Hot?
Noah Iliinsky is the co-author of Designing Data Visualizations and technical editor of, and a contributor to, Beautiful Visualization, published By O’Reilly Media. He will lead a Designing Data Visualizations Workshop at O’Reilly’s Strata conference on Tuesday, Feb. 28. Data visualization is hot. All of a sudden there are dozens of companies and products that want to help you visually analyze your data, build your own visualizations, and visually display interesting data sets of all kinds. To answer these questions, we need to go all the way back to biology. That last factor, pattern matching, is the key when it comes to discussing the benefits of presenting information visually. Let’s look at the classic instructive example, Anscombe’s Quartet, devised by statistician Francis Anscombe to demonstrate this very issue. All of a sudden, the data sets look very different from each other, and you can’t help but see and understand much more about the underlying numbers; that’s the magic.
Wal-Mart Means America
Buy in large and bulk retailers seem to be in style these days. Wal-Mart is no exception. I’ve heard stories of protest over one company joining the local economic circle being protested. For support of mom and pop shops, Wal-Mart’s openings have been disputed in many areas. Many see the opening of a Wal-Mart as the end of all business. One of America’s own is the leader a major leader in revenue, sales, and manpower. Share This Infographic Get Free Infographics Delivered to your Inbox
Fast Thinking and Slow Thinking Visualisation
Last week I attended the Association of American Geographers Annual Conference and heard a talk by Robert Groves, Director of the US Census Bureau. Aside the impressiveness of the bureau’s work I was struck by how Groves conceived of visualisations as requiring either fast thinking or slow thinking. Fast thinking data visualisations offer a clear message without the need for the viewer to spend more than a few seconds exploring them. These tend to be much simpler in appearance, such as my map of the distance that London Underground trains travel during rush hour. The explicit message of this map is that surprisingly large distances are covered across the network and that the Central Line rolling stock travels furthest. or the seemingly impenetrable (from a distance at least), but wonderfully intricate hand drawn work of Steven Walter (click image for interactive version). So do the renowned folks at the NY Times Graphics Dept. prefer fast or slow thinking visualisations?
Interactive Dynamics for Visual Analysis
Graphics Jeffrey Heer, Stanford University Ben Shneiderman, University of Maryland, College Park The increasing scale and availability of digital data provides an extraordinary resource for informing public policy, scientific discovery, business strategy, and even our personal lives. Visualization provides a powerful means of making sense of data. The goal of this article is to assist designers, researchers, professional analysts, procurement officers, educators, and students in evaluating and creating visual analysis tools. Our focus on interactive elements presumes a basic familiarity with visualization design. Within each branch of the taxonomy presented here, we describe example systems that exhibit useful interaction techniques. To enable analysts to explore large data sets involving varied data types (e.g., multivariate, geospatial, textual, temporal, networked), flexible visual analysis tools must provide appropriate controls for specifying the data and views of interest. 1. 2. 3.
