Tags: data + statistics (31)

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  1. Saw this paper at CHI. Pretty awesome although not entire sure what this is good for.
  2. I'm a little disappointed in this article. It's a little incoherent and doesn't do a great job of talking about what it means by statistics. It's something about the political power of data collection?
  3. Listing of classic R datasets used in various packages
    updated: 2013-01-29, original: 2013-01-29 to , , , , by aarondshaw - Archived Link
  4. "Cubism.js is a D3 plugin for visualizing time series. Use Cubism to construct better realtime dashboards, pulling data from Graphite, Cube and other sources. Cubism is available under the Apache License on GitHub."
  5. "Cube is a system for collecting timestamped events and deriving metrics. By collecting events rather than metrics, Cube lets you compute aggregate statistics post hoc. It also enables richer analysis, such as quantiles and histograms of arbitrary event sets. Cube is built on MongoDB and available under the Apache License on GitHub."
  6. A somewhat hard-to-find-but-useful set of ggplot2 examples buried on Hadley Wickham's site.
  7. It turns out, Google has data on enough search terms that something is always quite highly correlated with your curve! This is a crackpot conspiracy theorists dream!
  8. Answer: When considering which class to use, always choose the least complex class that will support the application. That is, use Date if possible, otherwise use chron and otherwise use the POSIX classes.
  9. I saw this on a few different visualization and statistics websites. It's a nice set of maps.
  10. What an awesome service!

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