Dan Barrett – ScribbleLive http://www.scribblelive.com ScribbleLive is the leading end-to-end platform for content marketing engagement. Thu, 11 Aug 2016 19:37:28 +0000 en-US hourly 1 http://s3.amazonaws.com/scribblelive-com-prod/wp-content/uploads/2016/06/favicon-91x80.png Dan Barrett – ScribbleLive http://www.scribblelive.com 32 32 Lessons from Visualized: Cutting Through Hyperbole With Data Visualization http://www.scribblelive.com/blog/2012/11/29/lessons-from-visualized-cutting-through-hyperbole-with-data-visualization/ Fri, 30 Nov 2012 01:37:46 +0000 http://www.scribblelive.com/blog/2012/11/29/lessons-from-visualized-cutting-through-hyperbole-with-data-visualization/ At the Visualized conference on November 9th, Neil Halloran posed an interesting question: Can DataViz lead to a data savvy society in the same way that the printing press lead to a literate one? One that is prepared to make tough decisions on complex issues? Neil Halloran thinks so. That’s Read more...

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At the Visualized conference on November 9th, Neil Halloran posed an interesting question: Can DataViz lead to a data savvy society in the same way that the printing press lead to a literate one? One that is prepared to make tough decisions on complex issues? Neil Halloran thinks so. That’s why he created VisualBudget.org to cut through hyperbole surrounding the what may be the most frequently misunderstood and pressing issue facing Americans today, our massive $16 trillion dollar deficit.
“Unless we take bold action to reduce the national debt, a major economic catastrophe is imminent. The good news: we have new tools that let us visualize and explain the budget like never before”

– Neil Halloran But how is a modern citizen supposed to make an informed decision on issues of tremendous scope and complexity, such as the fiscal cliff or the growing budget deficit without falling back on sound bites and punditry? Neil Halloran’s solution is to tell a story. Rather than simply presenting a static infographic or a set of tabular data on federal receipts and expenditures, VisualBudget.org takes you on a interactive tour. Not only can you drill down into detailed summaries of each category, you can also compare our spending in that category to other nations or historical data as well. Unlike other visualizations that attempt to crowd the screen with each layer of hierarchical data, VisualBudget makes heavy use of the CAAT javascript library to provide pleasant focus shifts that allow you to easily traverse back and forth between sections. The goal is to make the U.S. federal budget exciting, engaging and easy for everybody to understand for everyone from policy makers to high school students. So the next time you find yourself in a debate over the marginal tax rate or cutting spending, head on over to http://visualbudget.org/. While it’s still in beta and invite-only, just submit your email for an invite code. Some Other Excellent U.S. Federal Budget Inforgraphics

  Dan Barrett is a senior software engineer for Contently, with degrees in GIS and Urban Planning. When not writing about data science & visualization, he is busy building statistical analysis tools for evaluating authors and their written work. Follow him on Twitter.

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Lessons from Visualized: Shy Data needs Sneaky Data Scientists http://www.scribblelive.com/blog/2012/11/15/lessons-from-visualized-shy-data-needs-sneaky-data-scientists/ Fri, 16 Nov 2012 01:10:13 +0000 http://www.scribblelive.com/blog/2012/11/15/lessons-from-visualized-shy-data-needs-sneaky-data-scientists/ (Photo: M. Migurski @ Visualized Conference, 11/08/2012; source) We live in an unprecedented time of abundant, easily accessible data, yet some of the most interesting data might not be recorded at all, let alone made accessible to the public. As Michal Migurski from Stamen demonstrated at the Visualized conference November Read more...

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(Photo: M. Migurski @ Visualized Conference, 11/08/2012; source) We live in an unprecedented time of abundant, easily accessible data, yet some of the most interesting data might not be recorded at all, let alone made accessible to the public. As Michal Migurski from Stamen demonstrated at the Visualized conference November 9, the best data is often “shy” and hiding in plain sight. Teasing it out requires a new breed of data detectives: ones that aren’t afraid to get their hands dirty and collect hard data themselves. One morning this summer, Mike and the rest of the Stamen team were sitting at Dolores Park Cafe near their office in San Francisco when they started counting shuttle buses. A common sight in the Mission District, these buses are part of a fleet of private vehicles that Silicon Valley tech giants such as Apple and Google use to shuttle employees back and forth between downtown San Francisco and the valley. Being the data fanatics they are, they decided to see if they could find out the exact routes and ridership numbers of this shadow startup transit system. As the inquiries turned up few answers, this casual question over breakfast turned into a full blown mystery, one that they would have to manually collect data to solve. So how was this map collected? Using FourSquare check-ins as a general guide, they gathered a network of bike messengers and volunteers to follow the buses, record routes, stops, and ridership numbers along the way. These “human sensors” returned the data entirely in the form of handwritten field papers, a human-generated map format created by Stamen. Once the data started coming back, it quickly became apparent that the size and scale of the private shuttle system was much larger than anticipated. Stamen estimates that the shuttles are carrying up to a third of the volume of Caltrain, the largest mass transit system in the Bay Area. You can see the surprising results of the project at The City from the Valley. More on this project: Mapping Silicon Valley’s Own Private “iWay” – allthingsd.com Visualising the hidden networks of Silicon Valley – NewScientist Dan Barrett is a senior software engineer for Contently, with degrees in GIS and Urban Planning. When not writing about data science & visualization, he is busy building statistical analysis tools for evaluating authors and their written work. Follow him on Twitter.

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