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Immersion [mit.edu] is a quite revealing visualization tool of which the NSA - or your own national security agency - can only be jealous of... Developed by MIT students Daniel Smilkov, Deepak Jagdish and C�sar Hidalgo, Immersion generates a time-varying network visualization of all your email contacts, based on how you historically communicated with them.
Immersion is able to aggregate and analyze the "From", "To", "Cc" and "Timestamp" data of all the messages in any (authorized) Gmail, MS Exchange or Yahoo email account. It then filters out the 'collaborators' - people from whom one has received, and sent, at least 3 email messages from, and to.
As a result, people that appeared together in the headers of email messages are visually connected and placed closer together than others. A timeline slider at the bottom of the screen then allows to investigate any changes in social email connectivity over time. Individual names can be selected for further detailed exploration.
For those too paranoid to trust 3 MIT students with their personal data, there is a demo account available here.
The Urban World App [mckinsey.com] by global management consulting firm McKinsey only runs on the iOS and Android operating systems.
The smoothly animated application consists of an interactive, 3D globe that shows the population, income and GDP statistics of about 2,600 different cities around the world. 2 separate cities can be selected and compared in terms of their historical 2010 data, as well as a possible future scenario for the year 2025. 2 alternative visualizations focus oin revealing the evolution of GDP and the global economic center of gravity over the last 2,000 years.
The Game Tree Interactive [gamesetmap.com] visualization by Damien Demaj analyzes the more than 600 service games played by Rafael Nadal during the Grand Slams, Masters 1000 and World Tour Finals in the year 2013. In particular, this visual summary shows where Nadal's history breaking season was won and rarely lost, point by point.
Each point is color-coded to reflect the momentum in each game: blue represents positive momentum, while red denotes negative momentum (and white is neutral). Accordingly, a match that was dominated by Nadal is highlighted with a thicker, outside flow that passes through the 'positive' points of the Game Tree, while the opposite shows a flow that enters more 'neutral' or outside 'negative' points.
Erasmus is an European Union student exchange program that allows more than 75.000 European students to travel abroad and study in a country different from their home. The network consists of over 2.900 universities, which are interconnected by over 90.000 partnerships.
Christian Gross and Sebastian Sadowski have implemented an interactive visualization of the network [ahoi.in], revealing all the academic institutes that participate in the program, in addition to the student flows of the 'top 100' receiving and sending universities.
The second series of visualizations reveals the reasons why students go abroad, on a per country level. This information is contrasted with the average temperature, Consumer Price Index (CPI) and distance to the home country.
What can be accomplished for about 320,000 buildings in a New York neighborhood, can also be done for 9,866,539 buildings located in a whole country. In the interactive map [waag.org] each building in the Netherlands is been shaded according to the year of its construction.
For instance, in most cities one can observe how the inner city contains the oldest buildings, and 'rings' of newer buildings are surrounding it. In many small villages, the center is characterised by an old, historic church.
The map was built on top of the CitySDK, a linked data distribution platform that enables the linking between (mobility) datasets and city services.
By the way: for those living in Portland, have a look here.
The interactive map PaperScape [paperscape.org] by high energy physics researcher Damien George and particle physics PhD student Rob Knegjens provides a visual overview of all the 869,258 scientific physics, mathematics, and computer papers that have been published at open e-print archive arXiv.
Each paper is represented by a circle, of which the surface area is proportional to the number of citations that paper has received. The color of each circle denotes the arXiv category of the paper, while the brightness indicates age. The text labels have been automatically extracted by analysing the word frequency in the title and abstract of each paper, and are generally indicative of the subject matter.
More technical explanation about this project can be found here.
Fragmented Memory [phillipstearns.wordpress.com], designed by electronic media artist Phillip Stearns, consists of 3 large pieces of woven tapestry of which the woven patterns have been completely driven by digital data.
In fact, each piece of tapestry is a literal translation of a computer's physical memory, which was extracted as a core dump using a physical memory acquisition tool called OSXPmem. Groups of 6 bits were translated in RGB pixel color values. The resulting images made up of 64 hues were then mapped to a custom woven color palette which was created by mixing 8 colors of yarn using variations on a satin weave.
A key to the binding patterns is provided on the back of each piece, so that it is theoretically possible to decode the tapestry into the original binary data sourced from the computer's physical memory.
The free iPad app mem:o [carolineandyoung.com], designed by interaction designers Caroline Oh and Young Sang Cho makes tracking, logging and analysing your quantified-self activities a compelling visual experience.
Exploiting the beauty of bubbles, pie charts and circles, and coated in various playful animations, this application allows one to collect, aggregate and sort all sorts of personal data, ranging from how many books you have read, to when and to whom you have shared your love.
Each activity is represented by a minimalistic circle, of which the actual value is recorded by a simple dragging gesture. All circles are then filtered by activity in a "board" view, ordered over time in a "timeline" view, or aggregated all together in a colorful "calendar" view.
Each food is represented by a blue dot, which is sized according to how popular that particular food is in a database containing more than 56,498 unique recipes.
Individual foods are connected by red lines when they have specific flavor components in common. The thickness of each red line denotes the number of components that are shared between the connected pairs of food. In addition, all foods have been horizontally distributed by category, such as 'meat', 'vegetable' or 'herb'. The higher a food is located, the more it shares flavor compounds with others, so that more unique kind of flavors are placed at the bottom.
"Visualizing NYC's Open Data" [chriswhong.com] by self-proclaimed urbanist, map maker and data junkie Chris Wong provides a single view of the more than 1,100 open datasets made available by New York City.
The visualization of the "dataset of datasets" consists of a force-directed graph, of which the nodes are colored according to whether the according dataset is a table, chart, map, a file or a user-created view (colored blue).
The graph acts as an alternative portal to explore the available data, while demonstrating its scale and diversity.
The interactive map reveals how the historical urban development has rippled across certain neighborhoods (darker color), while leaving some pockets unchanged for decades (yellow color), even centuries.
Via FastCo Design.
Based on each movie script, all the interactions of the main characters are aggregated, analyzed and represented as an interactive network graph. Each character is represented by a single network node, which is sized accordingly to how connected the respective character is with others. In turn, each color represents a unique cluster of a given character. As a result, the collection of movies can be explored by their 'density', 'clustering' or 'diameter'.
Start Up Universe [visual.ly], developed by information design agency Accurat and graphic designer Ben Willers for visualization community aggregator Visually, provides a comprehensive view of the relationships between startup companies and their founders and investors (venture capitalists) since the year 1990.
Based on the extensive CrunchBase database, the interactive visualization allows access to more than 12,000 venture capitalists, 29,000 startups and 34,000 founders.
All startups are represented as circles that are colored according to one of the 19 categories (conveying the service or industry of the startup) and scaled according to the amount of financing they have raised. In particular views, the circles are positioned on a horizontal timeline, which can be filtered according to particular periods of interest.
The left or right columns in the interface provide access to the relevant names of the venture capitalists or founders. After selecting a particular name in one of those columns, one can explore how a corresponding VC or founder has invested over time, what types of startup categories are most popular over time or have been most successful in terms of attracting VC money.
Watch Dogs - We Are Data [watchdogs.com], developed by the French global video game publisher Ubisoft, is the first website to gather publicly available and real-time data about Paris, London and Berlin in a single interface.
More specifically, all available data originating from the three cities is visualized on an interactive 3D map, allowing users to discover a data-centric view of their city.
The website acts as a limited yet impressive real-world teaser of the upcoming game Watch Dogs, in which the central character will be able to control the city of Chicago by way of a central operating system.
The Digital Humanities project Phototrails [phototrails.net], a collaboration by the Department of History of Art and Architecture (University of Pittsburgh), the Software Studies Initiative (California Institute for Telecommunication and Information) and The Graduate Center (City University of New York), uses various visualization techniques to explore the visual patterns, dynamics and structures in user-generated photos from online services like Instagram.
Basically, the visualizations are based on scaling and spatially organizing a massive amount of photos by a combination of attributes. Each technique highlights different aspects of the data: the "Radial" maps 2 data attributes (e.g. upload date, location) to the angle and the radius of circle. "Montage" consist of a grid-like structure that is organized according to time (i.e. upload date) or visual attributes (e.g. hue, contrast, etc.). "Photoplot" is a scatterplot, but uses individual images instead of plotting individual points. "Points and Lines" traces the locations of photos over time on a map.
Alternatively, one can explore the 'visual rhythms' of photos by city.