1629 search results for "Excel"

Ranked Choice Voting

November 25, 2013
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Ranked Choice Voting

The city of Minneapolis recently elected a new mayor. This is not newsworthy in and of itself, however the method they used was—ranked choice voting. Ranked choice voting is a method of voting allowing voters to rank multiple candidates in order of preference. In … Continue reading →

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Book Review: Applied Predictive Modeling by Max Kuhn and Kjell Johnson

November 24, 2013
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This is a gem of a book.From the introduction: We intend this work to be a practitioner’s guide to the predictive modeling process and a place where one can come to learn about the approach and to gain intuition about the many commonly used and modern, powerful models. …it was our goal to be as hands-on as possible, enabling the readers...

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Double Box Plot package boxplotdbl 1.2.0 released

November 23, 2013
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Double Box Plot package boxplotdbl 1.2.0 released

This article describes changes from the first release on March 2013, including changes from the beta release of package boxplotdbl. New features Newly supported arguments: col COLOR.SHEER factor.labels draw.legend shading … Continue reading →

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Compiling R from source and why you shouldn’t do it

I’ve always thought that it’s silly, in most cases, source compiling software that’s already available in binary form. To the end of making more binary packages available to Mac users, I just started contributing to a project that is creating a repository of 64 bit builds of pkgsrc’s (NetBSD's portable package manager) over 12,000 packages. »more

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Dynasty Meets the Central Limit Theorem

November 20, 2013
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Dynasty Meets the Central Limit Theorem

There’s a classic probability problem/brainteaser popularized by google that states: In a country in which people only want boys, every family continues to have children until they have a boy. If they have a girl, they have another child. If they have a boy, they stop. What is the proportion of boys to girls in the country? It seems...

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Dynasty Meets the Central Limit Theorem

November 20, 2013
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Dynasty Meets the Central Limit Theorem

There’s a classic probability problem/brainteaser popularized by google that states: In a country in which people only want boys, every family continues to have children until they have a boy. If they have a girl, they have another child. If they have a boy, they stop. What is the proportion of boys to girls in the country? It seems...

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The homogenization of scientific computing, or why Python is steadily eating other languages’ lunch

November 18, 2013
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Over the past two years, my scientific computing toolbox been steadily homogenizing. Around 2010 or 2011, my toolbox looked something like this: Ruby for text processing and miscellaneous scripting; Ruby on Rails/JavaScript for web development; Python/Numpy (mostly) and MATLAB (occasionally) for numerical computing; MATLAB for neuroimaging data analysis; R for statistical analysis; R for plotting

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Bayesian linear regression analysis without tears (R)

November 17, 2013
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Bayesian linear regression analysis without tears (R)

Bayesian methods are sure to get some publicity after Vale Johnson’s PNAS paper regarding the use of Bayesian approaches to recalibrate p-value cutoffs from 0.05 to 0.005. Though the paper itself is bound to get some heat (see the discussion in Andrew Gelman’s blog and Matt Briggs’s fun-to-read deconstruction), the controversy might stimulate people to explore

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Dutch Rainwater Composition 1992-2005.

November 17, 2013
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Dutch Rainwater Composition 1992-2005.

After reading Blog About Stats' Open Data Index Blog Post I decided to browse a bit in the Open Data Index. Choosing Netherlands and following Emission of Pollutants I ended on a page from National Institute for Public Health. The page&n...

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What Data Science can learn from small-data Statistics

November 15, 2013
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Last month I joined Gregory Piatetsky (KDnuggets editor) for a webinar presentation Data Science: Not Just for Big Data, hosted by Kalido. In my portion of the prentation (you can see my slides below), I wanted to react to the Big Data focus which is so much a part of the Data Science movement today, to focus on the...

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