189 search results for "web scraping"

What to Expect?

January 22, 2010
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What to Expect?

In 2007, I was introduced to Twitter via the written qualifying exam towards my Ph.D.. At first, I did not know what to do with it. After a good year or so (maybe even sooner) passed, I began to follow some very interesting people that share the same interests as me. It has transformed my academic experience. It is...

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Importing Data Into R – Part Two

August 18, 2015
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Importing Data Into R – Part Two

In this follow-up tutorial of This R Data Import Tutorial Is Everything You Need-Part One, DataCamp continues with its comprehensive, yet easy tutorial to quickly import data into R, going from simple, flat text files to the more advanced SPSS and SAS files. As a lot of our readers noticed correctly from the first post, The post

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R packages for undergraduate stat ed

August 9, 2015
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The other day on the isostat mailing list Doug Andrews asked the following question: Which R packages do you consider the most helpful and essential for undergrad stat ed? I ask in great part because it would help my local … Continue reading →

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Soap analytics: Text mining “Goede tijden slechte tijden” plot summaries….

August 8, 2015
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Soap analytics: Text mining “Goede tijden slechte tijden” plot summaries….

Sorry for the local nature of this blog post. I was watching Dutch television and zapping between channels the other day and I stumbled upon “Goede Tijden Slechte Tijden” (GTST). This is a Dutch soap series broadcast by RTL Nederland. … Continue reading →

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This R Data Import Tutorial Is Everything You Need

July 21, 2015
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This R Data Import Tutorial Is Everything You Need

You might find that loading data into R can be quite frustrating. Almost every single type of file that you want to get into R seems to require its own function, and even then you might get lost in the functions’ arguments. In short, it can be fairly easy to mix up things from time to The post

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Sports Data and R – Scope for a Thematic (Rather than Task) View? (Living Post)

July 7, 2015
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Sports Data and R – Scope for a Thematic (Rather than Task) View? (Living Post)

Via my feeds, I noticed a package announcement today for cricketR!, a new package for analysing cricket performance data. This got me wondering (again!) about what other sports related packages there might be out there, either in terms of functional thematic packages (to do with sport in general, or one sport in particular), or particular

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Get by with a little (R) help from your friends (at GitHub)

June 29, 2015
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Get by with a little (R) help from your friends (at GitHub)

@JennyBryan posted her slides from the 2015 R Summit and they are a must-read for instructors and even general stats/R-folk. She’s one of the foremost experts in R+GitHub and her personal and class workflows provide solid patterns worth emulation. One thing she has mentioned a few times—and included in her R Summit talk—is the idea

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Fishing for packages in CRAN

June 18, 2015
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Fishing for packages in CRAN

by Joseph Rickert It is incredibly challenging to keep up to date with R packages. As of today (6/16/15), there are 6,789 listed on CRAN. Of course, the CRAN Task Views are probably the best resource for finding what's out there. A tremendous amount of work goes into maintaining and curating these pages and we should all be grateful...

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Restaurant analytics: Text mining, Path analysis, Sankey, Sunbursts and Chord plots

June 16, 2015
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Restaurant analytics: Text mining, Path analysis, Sankey, Sunbursts and Chord plots

Last month I visited my favorite Chinese restaurant with some friends in the center of Amsterdam, Golden chopsticks, and had some nice food. I was wondering if other people shared the same opinion. So I visited iens.nl, a Dutch restaurant … Continue reading →

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RevoScaleR’s Naive Bayes Classifier rxNaiveBayes()

May 28, 2015
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RevoScaleR’s Naive Bayes Classifier rxNaiveBayes()

by Joseph Rickert, Because of its simplicity and good performance over a wide spectrum of classification problems the Naïve Bayes classifier ought to be on everyone's short list of machine learning algorithms. Now, with version 7.4 we have a high performance Naïve Bayes classifier in Revolution R Enterprise too. Like all Parallel External Memory Algorithms (PEMAs) in the RevoScaleR...

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