2145 search results for "MAP"

Michael Kane on Bigmemory

December 20, 2010
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Michael Kane on Bigmemory

Handling big data sets has always been a concern for R users. Once the size of the data set reaches above 50% of RAM, it is considered “massive” and can literally become impossible to work with on a standard machine. The bigmemory project, by Michael Kane and Jay Emerson, is one approach to dealing with

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Visualizing Facebook Friends: Eye Candy in R

December 18, 2010
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Visualizing Facebook Friends: Eye Candy in R

Earlier this week I published a data visualization on the Facebook Engineering blog which, to my surprise, has received a lot of media covereage. I’ve received a lot comments about the image, many asking for more details on how I … Continue reading →

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Joe West vs. Bruce Froemming: A Crude Umpire LHB/RHB Bias Comparison

December 17, 2010
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Joe West vs. Bruce Froemming: A Crude Umpire LHB/RHB Bias Comparison

In my last two posts, I have tinkered with the 'gam' package to create heat maps for individual umpire strike zones. I went ahead and grabbed Joe West's data (which has a lot more pitches than Bruce Froemming in it, since Froemming's data is only from...

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Facebook’s Social Network Graph

December 14, 2010
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Facebook’s Social Network Graph

Paul Butler, an intern on Facebook’s data infrastructure engineering team, was interested in visualizing the "locality of friendship". Luckily, he has some great data to work with: Facebook's social network of the friendships between its 500 million members. But visualizing that much data can be a challenge in its own right -- it takes skill to draw meaning from...

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Ghcn V3 Metadata improvements

December 12, 2010
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Ghcn V3 Metadata improvements

The Global Historical Climate Network  (GHCN) is in it’s beta stage. On of the stated goals of the project is to improve the metadata that is provided for the station data.  Over the past few months several independent volunteers have been focusing on the issue of station metadata, each with their own focus. Ron Broberg

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Visualizing Agricultural Subsidies by Kentucky County

December 12, 2010
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Visualizing Agricultural Subsidies by Kentucky County

In this post,  I provide results from my first full blown application of R to read, merge, clean, subset, manipulate, analyze and visualize data related to agricultural subsidies by Kentucky counties. This is very similar to the work I do on a daily basis, and was a great test of the capabilities of doing these tasks open source...

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R with Vim on Mac OS X

December 12, 2010
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R with Vim on Mac OS X

The built-in script editor for the Mac OS X R GUI actually isn’t bad. In fact it is much better than its Window’s counterpart. In particular, it has: Syntax highlighting Auto-completion Bracket matching Auto-indent Block code execution (with blocked command history) However, when coding in R and pretty much any other language, Vim has always

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New edition of “R Companion to Applied Regression” – by John Fox and Sandy Weisberg

December 10, 2010
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New edition of “R Companion to Applied Regression” – by John Fox and Sandy Weisberg

Just two hours ago, Professor John Fox has announced on the R-help mailing list of a new (second) edition to his book “An R and S Plus Companion to Applied Regression”, now title . “An R Companion to Applied Regression, Second Edition”. John Fox is (very) well known in the R community for many contributions to R, including the...

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Electoral Marimekko Plots

December 6, 2010
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Electoral Marimekko Plots

To be reductive, visual displays of quantitative information might be reasonably categorized on a continuum between “data display” and “statistical graphics.” By statistical graphics, I mean a plot that displays some summary of or relationship amongst several variables, likely having undergone some processing or analysis. This may be as simple as a scatterplot of a … Read more

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Data Visualization Practices at the New York Times

December 3, 2010
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Amanda Cox of the New York Times' graphics department recently gave a great presentation to the New Media Days conference in Copenhagen and described how the Times uses data visualizations to reveal patterns, provide context, describe relationships, and even create a sense of wonder about the world. In the video, Amanda demonstrates several of the Times' best interactive visualizations...

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