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  • Metro Systems Over Time: Part 3

    Metro Systems Over Time: Part 3

    Note, at the time of this writing using the packages ggplot2 and ggmap from CRAN will result in an error. To avoid the error be sure to install both packages

    Sourced through Scoop.it from: www.r-bloggers.com

  • In a post-truth world, data science could provide an essential public service

    In a post-truth world, data science could provide an essential public service

    “There is great potential for us to mobilise the power of data to help us make better decisions. However, the technology that has allowed us all to be so wonderfully connected has also allowed us each to live in our own world, separated from others. In our online lives, we risk connecting only with those […]

  • The Data Science That Turned the World Upside Down

    The Data Science That Turned the World Upside Down

    How dangerous is big data? Anyone who has not spent the last five years living on another planet will be familiar with the term Big Data. Big Data means, in essence, that everything we do, both on and offline, leaves digital traces. Every purchase we make with our cards, every search we type into Google, […]

  • Inside the Washington Post’s popularity prediction experiment

    Inside the Washington Post’s popularity prediction experiment

    A peek into the clickstream analysis and production pipeline for processing tens of millions of daily clicks, for thousands of articles.

    Sourced through Scoop.it from: www.oreilly.com

  • Sentiment Analysis with Hadoop

    Sentiment Analysis with Hadoop

    This Hadoop tutorial shows how to refine raw Twitter sentiment analysis data using Hadoop and the Hortonworks Data Platform, analyze and visualize with Excel 2013

    Sourced through Scoop.it from: hortonworks.com

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Swift Studio for Complex Workflows

Swift Studio: Agile, No-Code, and Ready to Transform Your Workflows.

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