1470 search results for "excel"

R for inquisition

December 21, 2012
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R for inquisition

A post on high-dimensional arrays by @isomorphisms reminded me of APL and, more generally, of matrix languages, which took me back to inquisitive computing: computing not in the sense of software engineering, or databases, or formats, but of learning by poking problems through a computer. I like languages not because I can get a job

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Working with geographical Data. Part 1: Simple National Infomaps

December 21, 2012
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Working with geographical Data. Part 1: Simple National Infomaps

There is a popular expression in my country called “Gastar polvora en chimangos”, whose translation in English would be “spending gunpowder in chimangos”. Chimango is a kind of bird whose meat is useless for humans. So “spending gunpowder in chimangos” … Continue reading →

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Beautiful network diagrams with ggplot2

December 21, 2012
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Beautiful network diagrams with ggplot2

I don’t usually like describing my own work as “beautiful,” but with your permission I will make an exception today. There have been some requests for scripts illustrating the plotting of network diagrams with ggplot2, and today (for the winter solstice) we’re bringing you a really nice-looking way of doing just that. In fact, this Gist...

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Querying, parsimony and golden hammers

December 20, 2012
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Querying, parsimony and golden hammers

I love it when things are easy. I love it so much that I’ll spend a great deal of time and effort to keep things simple. At the same time, though, I think there’s some value in expending effort in pursuit of something. If you want to understand a thing, you have to spend time

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moRe

December 20, 2012
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moRe

Hopefully my first R post whetted your apatite for open source data software.  I’m gearing up for more R posts regardless.  I thought I’d do a quick post about a couple of useful commands, ‘View’ and ‘fix’. When you first break the shackles of Excel one of the toughest things is not being able to

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Coursera’s Data Analysis with R course starts Jan 22

December 19, 2012
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Following on from Coursera's popular course introducing the R language, a new course on data analysis with R starts on January 22. The simply-titled Data Analysis course will provide practically-oriented instruction on how to plan, carry out, and communicate analyses of real data sets with R. Here's the course trailer from instructor Jeff Leek: Jeff Leek is the co-author...

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NHS Winter Situation Reports: Shiny Viewer v2

December 18, 2012
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NHS Winter Situation Reports: Shiny Viewer v2

Having got my NHS Winter sitrep data scraper into shape (I think!), and dabbled with a quick Shiny demo using the R/Shiny library, I thought I’d tidy it up a little over the weekend and long the way learn a few new presentation tricks. To quickly recap the data availability, the NHS publish a weekly

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Data Science, Data Analysis, R and Python

The October 2012 issue of Harvard Business Review prominently features the words “Getting Control of Big Data” on the cover, and the magazine includes these three related articles:“Big Data: The Management Revolution,” by Andrew McAfee and Erik Brynjolfsson, pages 61 – 68;“Data Scientist: The Sexiest Job of the 21st Century,” by Thomas H. Davenport and D.J. Patil, pages...

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Revolution Newsletter: December 2012

December 14, 2012
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The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full December edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Tell us what you're looking for in R training. 2013 is the International Year...

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What is Correctness for Statistical Software?

December 14, 2012
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What is Correctness for Statistical Software?

Introduction A few months ago, Drew Conway and I gave a webcast that tried to teach people about the basic principles behind linear and logistic regression. To illustrate logistic regression, we worked through a series of progressively more complex spam detection problems. The simplest data set we used was the following: This data set has

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