Blog Archives

17 #rstats Tweets From 2017

December 28, 2017
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It has undoubtedly been a busy year in the R -and, much broader, the data science- community. As the year is drawing to a close, I'd would like to take the time to look back at the moments that were most important, fun, relevant, ... to the R community. In today's blog post, I will do this by chronologically listing...

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17 #rstats Tweets From 2017

December 28, 2017
By

It has undoubtedly been a busy year in the R -and, much broader, the data science- community. As the year is drawing to a close, I'd would like to take the time to look back at the moments that were most important, fun, relevant, ... to the R community. In today's blog post, I will do this by chronologically listing...

Read more »

Tidyverse Cheat Sheet For Beginners

November 30, 2017
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Tidyverse Cheat Sheet For Beginners

The tidyverse is a powerful collection of R packages that you can use for data science. They are designed to help you to transform and visualize data. All packages within this collection share an underlying philosophy and common APIs. As you might kno...

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useR!2017 In Retrospect

July 11, 2017
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useR!2017 In Retrospect

This week, the useR!2017 conference took place in Brussels. useR! is the annual international R User conference and is the main meeting of the R user and developer community. More than 1,000 people from all over the world came to Brussels to discov...

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xts Cheat Sheet: Time Series in R

May 17, 2017
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xts Cheat Sheet: Time Series in R

Even though the data.frame object is one of the core objects to hold data in R, you'll find that it's not really efficient when you're working with time series data. You'll find yourself wanting a more flexible time series class in R that offers a variety of methods to manipulate your data.  xts  or the Extensible Time Series is one of...

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The Periodic Table of Data Science

April 12, 2017
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The Periodic Table of Data Science

This periodic table can serve as a guide to navigate the key players in the data science space. The resources in the table were chosen by looking at surveys taken from data science users, such as the 2016 Data Science Salary Survey by O'Reilly, the...

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