Tag: Seattle

Visualizing Bikeshare Data

(This article was first published on Working With Data » R, and kindly contributed to R-bloggers) This entry is part 18 of 18 in the series Using R Seattle’s Pronto bikeshare system recently announced a Data Challenge for data visualization using

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7 steps to securing open government

WHAT: Push, Pull and Spill: A Transdisciplinary Case Study in Municipal Open Government, a report by the University of Washington School of Law. WHY: The push to open more government data at state and local levels led a cross-disciplinary team

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Eight Cities Chosen in Bloomberg Philanthropies Open Data Challenge

Bloomberg Philanthropies has announced eight cities that will make up the first round of winners from the foundation’s “What Works Cities Initiative”. The $42 million initiative will choose 100 mid-sized cities to help improve their use of data-driven decision making,

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Help cities keep it fresh

Cities across the United States are capitalizing on big data. Predictive policing is becoming a prominent tool for public safety in many cities. In Boston, an algorithm helps determine “problem properties” where the city can target interventions. In Chicago, they

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