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Industrial IoT Authors: Rene Buest, Liz McMillan, Mehdi Daoudi, Yeshim Deniz, Elizabeth White

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More data apps spawned by Sandy

As the clean-up continues on the eastern seaboard, I wanted to follow up on Monday's post on tracking Hurricane Sandy with Open Data with a couple of other R-based data applications spawned by the storm. Josef Fruehwald created an R script to tap into local weather sensors to keep track of air pressure, wind speed and rainfall near his home and for other affected locations. Check out the plunge in barometric pressure as the centre of the storm passed near Atlantic City on Monday night, and then over Philadelphia a couple of hours later: The greater scale of destruction in Atlantic City compared to Philadelphia is reflected in this comparison of wind speeds over the same period: Joseph used R to download the data from Weather Underground station records (like this one) in XML format, and then used the ggplot2 package to create the charts. You can find the complete R script at RPubs: Analysis of a Philadelphia Weather Station Data during Hurricane Sandy. Twitter's Ed Chen took a different look at the effects of Sandy: how the storm knocked out power around the NY region, and the race by the utulities to restore power. Where did he find such data? Tweets from Twitter users, of course! Geolocated tweets (from smartphones, presumably) along the lines of "I've just lost power!" , "Still no power here!" and "The power is back on!" gave Ed information he needed to use R to create an animation over time of the power going out and coming back on across NYC. The above is just a snapshot; visit Ed Chen's blog for an animated version, with a slider to see the changes during the night of the storm.

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More Stories By David Smith

David Smith is Vice President of Marketing and Community at Revolution Analytics. He has a long history with the R and statistics communities. After graduating with a degree in Statistics from the University of Adelaide, South Australia, he spent four years researching statistical methodology at Lancaster University in the United Kingdom, where he also developed a number of packages for the S-PLUS statistical modeling environment. He continued his association with S-PLUS at Insightful (now TIBCO Spotfire) overseeing the product management of S-PLUS and other statistical and data mining products.<

David smith is the co-author (with Bill Venables) of the popular tutorial manual, An Introduction to R, and one of the originating developers of the ESS: Emacs Speaks Statistics project. Today, he leads marketing for REvolution R, supports R communities worldwide, and is responsible for the Revolutions blog. Prior to joining Revolution Analytics, he served as vice president of product management at Zynchros, Inc. Follow him on twitter at @RevoDavid

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