Screenshot of the the USA Today jobs growth forecast visualization

USA Today created a nice visualization of jobs growth between 2010 – 2013. It’s interesting to see the varience in different states, cities and job sectors.

Economic consulting firm Moody’s Economy.com has forecasted U.S. job growth by geographic region and by industry. This interactive was updated Nov. 3, 2009. We will update it each month.

This graphic shows actual job growth through third-quarter 2009 and Moody’s Economy.com’s forecasted job growth for fourth-quarter 2009 through third-quarter 2013. It covers every state, the District of Columbia and 384 metro areas, broken down by fourteen industry sectors. The data are seasonally adjusted.

Visit the USA Today Job’s Forcast Website

The American Time Use Survey asks thousands of American residents to recall every minute of a day. Here is how people over age 15 spent their time in 2008.

Visit the How Different Groups Spend Their Day Website

Personas is a component of the Metropath(ologies) exhibit, currently on display until Sept 09 at the MIT Museum by the Sociable Media Group from the MIT Media Lab (Please contact us if you want to show it next!). It uses sophisticated natural language processing and the Internet to create a data portrait of one’s aggregated online identity. In short, Personas shows you how the Internet sees you.

How does it work? Enter your name, and Personas scours the web for information and attempts to characterize the person – to fit them to a predetermined set of categories that an algorithmic process created from a massive corpus of data. The computational process is visualized with each stage of the analysis, finally resulting in the presentation of a seemingly authoritative personal profile.

Their Philosophy? In a world where fortunes are sought through data-mining vast information repositories, the computer is our indispensable but far from infallible assistant. Personas demonstrates the computer’s uncanny insights and its inadvertent errors, such as the mischaracterizations caused by the inability to separate data from multiple owners of the same name. It is meant for the viewer to reflect on our current and future world, where digital histories are as important if not more important than oral histories, and computational methods of condensing our digital traces are opaque and socially ignorant.

Personas was created by Aaron Zinman, with help from Alex Dragulescu, Yannick Assogba and Judith Donath.

Visit the Personas Website

Nexus is a Facebook visualization which creates an interactive image with your friends’ connections and their shared interests.

Visit the Nexus Website

This awesome project was created by Sebastian Deutsch to visualize Twitter streams sync’d to music using HTML5 and Processing.

“We’ve created a litttle experiment which loads 100 tweets related to HTML5 and displays them using a javascript-based particle engine. Each particle represents a tweet – click on one of them and it’ll appear on the screen”.

“The original particle engine was ported from a Flex/AS3 project to javascript. We’re using processing.js for particle rendering on canvas which is a very useful graphics library created by John Resig. The music will only be played if the browser supports the audio tag. To detect if the audio or canvas feature is present we use the awesome modernizr library. We could have used a fallback solution like playing the sound via Flash. But this experiment is about HTML5 – and who needs Flash anyway? “.

Visit the HTML5 Canvas and Audio Experiment Website

“The landscape of British eating has changed dramatically in the last three decades. In the above interactive visualisation, we’ve documented the changing face of our grocery shopping, whether it be the rise and rise of the banana, the decline of liver, the growth of the ready meal, or the determined plod of the pork sausage. The data comes from DEFRA, which keeps an extraordinarily rich, but mostly dormant, archive on its website. We’ve brought it to life with what we think is an innovative tool, produced with the help our designer, Marcin Ignac. The icons on the left represent 5 main food ‘types’ – fats, fish, fruit, meat and vegetables. Click on any section of the donut to see how consumption of that food group has changed, or scroll along the time line for any one food to see its percentage share change in the donut”.

Visit the What Britain Eats Website

“The OECD countries are displayed in 4 views for TL2 in start-up mode – each view represents a continent. A set of indicators is pre-loaded for this territorial level. The scatter plot shows 4 indicators. The indicatos´ names are shown along the two axes in the selection boxes. The selection box for the dot size is found above the scatter plot together with a slider controlling the size of the dot. Storytelling is available in the right view. Three stories are pre-loaded: TL2, TL3″

The application was developed by NCVA, Linköping University in collaboration with OECD.

Visit the OECD Factbook eXplorer Website

“This project is a Prefuse flare based visualization of the graph of influence nodes on freebase.com. The Genealogy of Influence project was started by Mike Love in the summer of 2005. In July 2007, Mike added the data to Freebase and ever since it is now growing on freebase.com on a daily basis through input of the freebase”.

Visit the Genealogy of Influence Viewer Website

“A StreamGraph is shown for the latest 1000 tweets which contain the search word. The default search query is ‘data visualization’ but a new one can be typed into the text box at the top of the application. You can also enter a Twitter ID preceded by the ‘@’ symbol to see the latest tweets from that user. A parameter to the URL can be used to specify the initial search word. For example, use http://www.neoformix.com/Projects/TwitterStreamGraphs/view.php?q=coffee to see the latest tweets about coffee.”

“The StreamGraph shows the usage over time for the words most highly associated with the search word. One of these series together with a time period are in a selected state and coloured red. The tweets that contain this word in the given time period are shown below the graph. You can click on another word series or time period to see different matches. In the match list you click on any word to create a different graph with tweets containing that word. You can also click on the user or comment icons and any URL to see the appropriate content in another window. If you see a large spike in one time period that hides the detail in all the other periods it will be useful to click in the area to the left of the y-axis in order to change the vertical scale.

This was created by Jeff Clark. If you are intrigued by this application you may wish to check out Neoformix to see my other work including TwitArcs and Twitter Spectrum.

Credits go to Lee Byron for the visual ideas behind the StreamGraph (although I’m using a simpler symmetrical form), to Processing for the development tools, to Martin Porter for the Porter Stemming Algorithm, to Vaga for the two small icons, and to Summize for building a great API into the Twitter data.”

Visit the Twitter StreamGraphs Website

“Valence is a set of software sketches about building representations that explore the structures and relationships inside very large sets of information”. This project was created by the awesome Ben Fry.

“I’m interested in building systems that create visual constructions from large bodies of information. The methods used in designing static chunks of data: charting, graphing, sorting and the rest (see the books by Tufte for the complete run-down) are well understood, but much interesting work remains in finding models and representations for examining dynamic sources of data, or very very large data sets. For this work, I’m employing behavioral methods and distributed systems which treat individual pieces of information as elements in an environment that produce a representation based on their interactions. Valence is a software experiment that addresses these issues”.

BTW, “this project makes an appearance in the movie Minority Report thanks to John Underkoffler, the film’s Science & Technology Advisor”.

Visit the Valence Website