776 search results for "maps"

The Luck and Skill of Scrabble

July 26, 2011
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The Luck and Skill of Scrabble

Scrabble is a game that involves both skill and luck. There's skill in knowing the words you can play and — especially — the most advantageous ways to play them. But there's also luck in the tiles you draw randomly from the bag: get saddled with a rack containing four I's and there's usually not much you can do....

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RomanM’s Method

July 22, 2011
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RomanM’s Method

I’ve succeeded in getting a version of RomanM and JeffId’s Thermal hammer working with version 1.3 of RghcnV3. This is going to be a long post because there is a lot of ground to cover. First, some errata, the “Globe” demo in V1.3 appears to have a missing line, looks like an editor bug, so

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One-liners which make me love R: Make your data dance (Hans Rosling style) with googleVis #rstats

July 14, 2011
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One-liners which make me love R: Make your data dance (Hans Rosling style) with googleVis #rstats

This inaugural post in my "one-liners which make me love R" series highlights the googleVis package which makes it easy to use the Google Visualization API from R. Thanks to googleVis, just one line of R generates the 165 lines of HTML and (mostly) JavaScript required to create a Hans Rosling-style motion chart for some sample data.

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MCMC and faster Gibbs Sampling using Rcpp

July 14, 2011
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Sanjog Misra, who uses Rcpp for Monte Carlo Markov Chain (MCMC) analyses in quantitative marketing, kindly set me a short example of Rcpp use. The example is based on a blog post by Darren Wilkinson which itself discusses and compares the suitabilit...

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Paul Murrell on Incorporating Images in R Charts

July 13, 2011
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Paul Murrell on Incorporating Images in R Charts

Thanks to everyone at who attended last night's Bay Area R User Group meeting, and a special thanks to our hosts Socialize (a company that makes a mobile SDK for application developers that increases user engagement) who were very generous in letting the group use their San Francisco digs for the meeting. Reflexive thanks also go to the Revolution...

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In case you missed it: June Roundup

July 11, 2011
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In case you missed them, here are some articles from June of particular interest to R users. Highlights of presentations from the R/Finance 2011 conference. Trulia uses R and statistical models to map local crime. Resources for data mining with R. K-means clustering on large data sets with the RevoScaleR package. Revolution Analytics' CTO David Champagne writes on real-time...

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High-quality R graphics on the Web with SVG

July 7, 2011
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High-quality R graphics on the Web with SVG

If you want the graphics you create with R to look their best, in general it's best to go for a vector-based graphics format instead of a raster-based format. Common formats like GIF and JPG are raster-based: the image is composed of pixels, and if you don't choose a high enough resolution, you're likely to lose fine details and/or...

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Descriptive statistics, causal inference, and story time

July 7, 2011
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Dave Backus points me to this review by anthropologist Mike McGovern of two books by economist Paul Collier on the politics of economic development in Africa. My first reaction was that this was interesting but non-statistical so I’d have to either post it on the sister blog or wait until the 30 days of statistics

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Different goals, different looks: Infovis and the Chris Rock effect

July 5, 2011
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Different goals, different looks:  Infovis and the Chris Rock effect

Seth writes: Here’s my candidate for bad graphic of the year: I studied it and learned nothing. I have no idea how they assigned colors to locations. I already knew that there were more within-city calls than calls to individual distant locations — for example that there are more SF-SF calls than SF-LA calls.

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GIS on a shoestring – Getting traveltimes from google

July 2, 2011
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The analysis of geospatial information is currently a big trend in medicine and public health. Even though some may want to convince you that this can only be achieved with the latest and most expensive software, I am not convinced. First, analysis  of spatial data dates back to at least 1856 when John Snow investigated

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