A major freeway bridge in Skagit County, Washington, collapsed Thursday night, dumping people and cars into water.
The portion four-lane Interstate-5 bridge that passes over Skagit River fell about 40 feet into the water at around 7 p.m. local time. The Skagit Valley Sheriff Department initially reported three people were rescued from water.
The bridge is a steel-truss bridge with a sufficiency rating of 57.4 out of 100, according to federal records.
Read more from : http://bit.ly/12RmkNi
Photo: North end of the I-5 bridge over Skagit River collapsed Thursday night. (Gina Cole / Skagit Valley Herald)
We've created an interactive, collaborative analytics tool by integrating Google Docs, Chrome, and IPython. You can open a notebook from Drive. You can share notebooks like you would share a Google Doc. You can comment and edit collaboratively, in realtime. There is zero setup, because all the computation happens in Chrome. You can even quickly and easily package your analytics pipeline into a GUI for folks that don't want to program. In effect, you can go from zero to analytics with little impedance.
What's even better is that you can build on our work. It will all be open source on top of public Google APIs. We'll have a larger Google Research blog post about this work when we release the code and the Chrome application.
Thanks for all of your feedback on last week's Hangouts launch. I wanted to quickly talk about 1) making/receiving phone calls in Gmail, and 2) Google Voice support more generally.
1) Today's version of Hangouts doesn't yet support outbound calls on the web and in the Chrome extension, but we do support inbound calls to your Google Voice number. We're working hard on supporting both, and outbound/inbound calls will soon be available. In the meantime, you can continue using Google Talk in Gmail.
2) Hangouts is designed to be the future of Google Voice, and making/receiving phone calls is just the beginning. Future versions of Hangouts will integrate Google Voice more seamlessly.
The idea behind clickme is to make a few variables in the JS code (the input data, and other parameters like height, width, colors, etc.) accessible from R. That way, you can render the visualization with different data sets or parameters:
clickme(data_set_1, "force_directed") # generates a force-directed graph with data set 1
clickme(data_set_2, "force_directed", params = list(width = 1200)) # same with data set 2, and also make the width 1200px
Play with the examples in the README to get an idea of how it works. If you have a visualization that you would like to make accessible in R, you can follow this How to Create a Ractive guide in the wiki.
I built this package because I wanted to use interactive JS plots during my R workflow without manually changing the path to the input file, so I would love to see more people build ractives for their visualizations. Please, get back to me if you have any questions.
- SquareData Scientist, 2013 - present
- NYUGraduate Student, 2008 - 2013
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