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"Game on!" by Fathom Information Design is an exploratory visualization prototype that allows users to parse through a basketball game's data, to investigate the behaviors and patterns in terms of the statistics and locations of players.
Based on a vast collection of performance statistics as well as real-time tracked ball and player positions, the tools allows one to explore some potentially interesting patterns, such as each player's recurrent locations, standings, and alignments according to their team position, the concentration of movement around the 3-point mark, any personally preferred shooting spots, or the fact that players tend to transition into offence along the sides of the court
The actual data was acquired by linking noteworthy game event markings to a smart computer-vision algorithm that analyzes top-down video footage, which results in a large set of X, Y, Z positions for each player and the ball for every video frame.
. The 3D Trajectories of the Tennis Ball during the Final ATP Matches
. The NYTimes Visualization of Live World Cup Football Statistics
. VisualSport: Social Visualization of (Live) World Cup Football Statistics
. Adidas Match Tracker: Experience Soccer Games Like a Data Geek
. Guardian Interactive Chalkboards: Map and Share Soccer Game Events
Google recently launched a dedicated Maps Gallery [google.com] to showcase a collection of hand-picked maps from several preferred organizations, such as the National Geographic, the U.S. Geological Survey or the City of Edmonton. It is the goal that in the future, people will find most maps not through the gallery, but via the standard search results.
The included maps range from the somewhat unappealing population statistics map based based on data from the World Bank, over an intriguing overview map of all fastfood location in the US, to the beautifully rendered Dominican Republic AdventureMap by the National Geographic.
Participants who apply for the program and are selected by Google receive free access to the enterprise version of Google Maps Engine, which includes specific connectors that facilitates easy importation of public data.
In a new exhibition titled Beautiful Science: Picturing Data, Inspiring Insight [bl.uk], the British Library pays homage to the important role data visualization plays in the scientific process.
The exhibition can be visited from 20 February until 26 May 2014, and contains works ranging from John Snow's plotting of the 1854 London cholera infections on a map to colourful depictions of the Tree of Life.
"Science is beautiful... but we can also bring an aesthetic to it with makes it so much more impactful and can allow to have your ideas a much greater reach"
Visualising Mill Road [visualisingmillroad.com] by Lisa Koeman, Vaiva Kalnikaite and Yvonne Rogers from ICRI Cities was a community project that combined citizen participation and public data visualization to inform a community on what other members of that community think of specific local issues.
The subjective opinions from local inhabitants were gathered by voting devices that were installed within several local shops. The results from this survey were visualized on the pavement in front of the shops, with the help of local artists. As more questions were asked, the infographic visualization became a bit bigger every other day.
. "Infovis Graffiti: Spray Painting Infographics in the Wild"
. "Broadsides: Showing Infographics... in the Street"
. a recent project of our own in the realm of "Street Infographics" (PDF).
AIBRA, short for American Intercity Bus Riders Association, has recently released a detailed map [kfhgroup.com] containing all the intercity bus lines currently in operation within the U.S. Not surprisingly, the resulting transportation grid correlates closely with population density, which in itself varies widely across the country.
While its first goal is to foster a positive perception of the current intercity bus system, at least in theory, the map should also be able to help you out to get from anywhere to anywhere.
Via The Huffington Post.
Do you know what correlation, variance, frequency distributions, sampling and standard errors are? If not, you now have to chance to learn each of these statistical concepts via the medium of... modern dance.
Initiated by Lucy Irving (Middlesex University) and Andy Field (University of Sussex), who, the project "Communicating Psychology to the Public through Dance" was funded by BPS Public Engagement with additional funding attracted from IdeasTap.
It consists of 4 YouTube movies that present several rather complicated psychological constructs and statistical procedures by a series of gracious and well-coordinated dancing gestures (together with some inevitable powerpoint-based textual explanations). The expectation is that, as well as being fun and educational, these films will demystify and take some of the fear out of statistics, by demonstrating that thinking about them in new ways may make them easier to comprehend.
Watch the 4 movies below.
The concept is original, yet simple. Assistant Professor of Arts Technology Rick Valentin and his partner created a life-size physical visualization of all the lint that they collected from their clothes dryer during the last year.
The work thus consists of the actual lint, which was needle-felted onto a 26 foot (8m) long canvas banner as a sort of dot plot that references the metaphor of DNA analysis.
Watch the video below explaining the art work.
Selfie City [selfiecity.net], developed by Lev Manovich, Moritz Stefaner, Mehrdad Yazdani, Dominikus Baur and Alise Tifentale, investigates the socio-popular phenomenon of self-portraits (or selfies) by using a mix of theoretic, artistic and quantitative methods.
The project is based on a wide, sophisticated analysis of tens of thousands of selfies originating from 5 different world cities (New York, Sao Paulo, Berlin, Bangkok, Moscow), with statistical data derived from both automatic image analysis and crowd-sourced human judgements (i.e. Amazon Mechanical Turk). Its analysis process and its main findings are presented through various interactive data visualizations, such as via image plots, bar graphs, an interactive dashboard and other data graphics.
Accordingly, Selfie City is able to provide quick access to all female, heavily left-leaning, widely smiling, glasses-wearing selfies from New York, if you would be interested in this particular demographic. It also demonstrates some preliminary indications on how most people that are featured on selfies are relatively young, how significantly more women take selfies than men, and how women tend to strike more extreme poses.
Several research groups around the world in the area of mobility and transportion optimization are exploring the use of a particular slime mould, Physarum polycephalum (the "many-headed slime"), to establish the most efficient routes around congested cities and countries.
The moeba-like creature forages for food by sending out branches (plasmodia) from a central location, with a speed of approximately 1cm per hour in optimum conditions. Even though it forms long, sprawling networks, it biologically still remains a single cell. As the creature uses its tentacles to explore for nearby food sources, and then thins out those part that do not contribute, it is able to find the most effective way of linking together scattered sources of food, or even find the shortest path through a maze.
As a by-product of this biomimicry-inspired optimization, it also creates some intriguing physical maps.
Several more detailed news articles on this research method are available at The Guardian, New Scientist and Discover Magazine. Alternatively, the academic paper "Rules for Biologically Inspired Adaptive Network Design" can be found here.
Each country on the low-polygon count, interactive 3D globe can be selected, in order to reveal how much aid money is directed from and to that specific country. A separate stacked flow chart can be further explored to investigate how popular destinations and origins trend over time.
The full-window infographic consists of a collection of interactive line graphs that smoothly animate between different arguments. Overall, the piece explores the question how the U.S. population spends money, and how that has changed over time.
Consequently, U.S. spending data is analyzed in terms of its correlation with GDP and its overall composition (e.g. food, clothing, gasoline). Apparent trends, like the impact of the housing crisis, the increasing popularity of online shops, and the importance of cars and gasoline are highlighted and succinctly discussed.
Fathom Design, lead by visualization design pioneer Ben Fry, just released Year in Nike Fuel [yearinnikefuel.com]. Based on Nike's public developer APIs, the posters allow various kinds of patterns to be recognized, as the working dad, the mountaineer, the gym-rat, or the city slicker all have distinct patterns, routines, and lifestyles in terms of Nike+ Fuelband data.
The top of the poster is meant to be evocative and memorable, while the area at the bottom focuses on breaking down the actual numbers and the details of movement. As a poster, it can be enjoyed at a distance, as well as closeby. Each day is represented by semi-transparent shapes, so the places where shapes overlap denote more ingrained behavioral patterns. While the fire-like layers on the top portion of the poster depict the regular intensity and activity levels of each individual, the bottom section of the poster aggregates various metrics and statistics.
More detailed information can be found at the Fathom website.
Binning is a clever method to avoid overlapping data points by aggregating multiple points in a grid of polygons, and using color to denote the relative density (see some interesting explanations here and here).
The map The Pleasant Places to Live [kellegous.com] by software engineer Kelly Norton exploits this technique to highlight those locations within the US that experience an enjoyable ambient temperature the year round, and little rain or snow. In addition, hovering over a separate bin reveals a minimalistic time-based temperature graph for that location.
Nicholas Felton, the person behind the infographic-style setting Feltron annual reports (see 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005) has released a self-logging app for the iPhone, called Reporter [reporter-app.com].
The app presents the user with a few randomly timed surveys each day that aim to capture what today's sensors still cannot, such as emotions, 'real' friends, food habits, and much more. The slick interface design with smart auto-fill functionality should allow the survey to be completed within 10 seconds or less. Several generic visualizations allow for immediate exploration of the data.
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.