1745 search results for "EXCEL"

R 101: Summarizing Data

March 25, 2014
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R 101: Summarizing Data

When working with large amounts of data that is structured in a tabular format, a common operation is to summarize that data in different ways using specific variables. In Microsoft Excel, pivot tables are a nice feature that is used for this purpose. While not as “efficient” in relation to Excel pivot tables, R also

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Practical Data Science with R: Release date announced

March 25, 2014
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Practical Data Science with R: Release date announced

It took a little longer than we’d hoped, but we did it! Practical Data Science with R will be released on April 2nd (physical version). The eBook version will follow soon after, on April 15th. You can preorder the pBook now on the Manning book page. The physical version comes with a complimentary eBook version Related posts:

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A Thumbnail History of Ensemble Methods

March 25, 2014
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A Thumbnail History of Ensemble Methods

By Mike Bowles Ensemble methods are the backbone of machine learning techniques. However, it can be a daunting subject for someone approaching it for the first time, so we asked Mike Bowles, machine learning expert and serial entrepreneur to provide some context. Ensemble Methods are among the most powerful and easiest to use of predictive analytics algorithms and R...

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Easily Assign Attributes for Your Metrics in R

March 23, 2014
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Easily Assign Attributes for Your Metrics in R

One of the most common mistakes I've seen is failure to transform variable attributes before analyzing data in R, or other statistical software packages. It is critical your variables are in the right format (numeric, integer, factor, etc.) or you run ...

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Learn about handling character data in R with this free e-book

March 21, 2014
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Most people know R as a statistics/analytics language for analysis of quantitative data, and don't think of it as a tool for processing raw text. But R actually has some quite powerful facilities for processing character data. And as Gaston Sanchez learned, text manipulation is an important part of a modern data scientist's repertoire: Many years ago I decided...

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Secrets of Teaching R

March 18, 2014
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by James Paul Peruvankal, Senior Program Manager at Revolution Analytics At Revolution Analytics, we are always interested in how people teach and learn R, and what makes R so popular, yet ‘quirky’ to learn. To get some insight from a real pro we interviewed Bob Muenchen. Bob is the author of R for SAS and SPSS Users and, with...

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The Stack Overflow R Top 5

March 17, 2014
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Like every start-up in the IT and data science sector, we often find ourselves spending more time on Stack Overflow than on our own site. For those of you who are not familiar with it, Stack Overflow is like a Q&A forum on steroids. It features questions and answers on a wide range of topics

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MOOCs and courses to learn R

March 14, 2014
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Inspired by this article i thought about gather here all multimedia resources that i know to learn use R. Today The post MOOCs and courses to learn R appeared first on Flavio Barros .

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Better handling of JSON data in R?

March 13, 2014
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What is the best way to read data in JSON format into R? Though really common for almost all modern online applications, JSON is not every R user's best friend. After seeing the slides for my Web Scraping course, in which I somewhat arbitrarily veered between using the packages rjson and RJSONIO, the creator of a...

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ENAR 2014 Searcher #ENAR2014

March 12, 2014
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ENAR 2014 Searcher #ENAR2014

To those going to ENAR this year: Are you trying to find who’s presenting at ENAR from your department but all that pdf searching got you down?  Are you trying to make an itinerary but dislike copying and pasting from a pdf?  Well I have a Shiny App for you! At https://muschellij2.shinyapps.io/ENAR_2014, you can see all

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