899 search results for "SQL"

Calculating Churn in Seasonal Leagues

January 9, 2015
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Calculating Churn in Seasonal Leagues

One of the things I wanted to explore in the production of the Wrangling F1 Data With R book was the extent to which I could draw on published academic papers for inspiration in exploring the the various results and timing datasets. In a chapter published earlier this week, I explored the notion of churn,

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dplyr 0.4.0

January 9, 2015
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dplyr 0.4.0

I’m very pleased to announce that dplyr 0.4.0 is now available from CRAN. Get the latest version by running: install.packages("dplyr") dplyr 0.4.0 includes over 80 minor improvements and bug fixes, which are described in detail in the release notes. Here I wanted to draw your attention to two areas that have particularly improved since dplyr

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Top 77 R posts for 2014 (+R jobs)

January 7, 2015
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Top 77 R posts for 2014 (+R jobs)

R-bloggers.com is 5 years old this month! In celebration, this post share links to the top 77 most read R posts of 2014 (+stats on R-bloggers, + top R jobs for the beginning of 2015)

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New York Times Article Search API to MongoDB

January 5, 2015
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Motivation Accessing NYT API Extracting and parsing the article body text Writing to MongoDB Pipeline Results Motivation I’ve learned a little about a lot of different corners of the text mining and NLP world over the last few years… which sometimes makes me feel like I know nothing for certain....

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Book Extras – Data Files, Code Files and a Dockerised Application

January 5, 2015
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Book Extras – Data Files, Code Files and a Dockerised Application

Idling through the LeanPub documentation last night, I noticed that they support the ability to sell digital extras, such as bundled code files or datafiles. Along with the base book sold at one price, additional extras can be bundled into packages alongside the original book and sold at another (higher) price. As with the book

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How to extract a data.frame from string data

December 28, 2014
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A guest article by Asher Raz, PhD, CareerHarmony Sometimes, data of subjects are recorded on a server (e.g. SQL server) as string data records for each subject. In some cases we need only a part of those string data for each subject and we need it as numerical data (e.g. as a data.frame). How can we get the required...

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A time series contest attempt

December 28, 2014
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A time series contest attempt

I saw the post a time series contest on Rob J Hyndman's blog. Since I am still wanting to play around with some bigger data sets, so I went to the source website https://drive.google.com/folderview?id=0BxmzB6Xm7Ga1MGxsdlMxbGllZnM&usp=shar...

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The Geometry of Classifiers

December 18, 2014
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The Geometry of Classifiers

As John mentioned in his last post, we have been quite interested in the recent study by Fernandez-Delgado, et.al., “Do we Need Hundreds of Classifiers to Solve Real World Classification Problems?” (the “DWN study” for short), which evaluated 179 popular implementations of common classification algorithms over 120 or so data sets, mostly from the UCI … Continue reading...

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How to analyze a new dataset (or, analyzing ‘supercar’ data, part 1)

December 16, 2014
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I love cars. The way they sound. The engineering. The craftsmanship. And let’s be honest: fast cars are just fun. Given my love of cars, I frequently watch Top Gear clips on YouTube. A couple of weeks ago, I stumbled across this:   Watching the video, I’m thinking, “253 miles per hour? You’ve got to The post

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Parallelism via “parSapply”

December 13, 2014
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In an earlier post, I used mclapply to kick off parallel R processes and to demonstrate inter-process synchronization via the flock package. Although I have been using this approach to parallelism for a few years now, I admit, it has certain important disadvantages. It works only on a single machine, and also, it doesn’t work

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