November 2017

R in Africa

November 30, 2017 | 0 Comments

R is used around the world and yet, in English-speaking media at least, we tend to hear most about what is happening in North America, Europe, and Australasia. So we would like to highlight some recent initiatives in the R community from other regions of the world, with this first ...
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Curate language data (1/2): organizing meta-data

November 30, 2017 | 0 Comments

When working with raw data, whether is comes from a corpus repository, web download, or a web scrape, it is important to recognize that the attributes that we want to organize can be stored or represented in various formats. The three I will cover here have to do with meta-data ...
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RStudio Connect v1.5.10

November 30, 2017 | 0 Comments

We’re pleased to announce version 1.5.10 of RStudio Connect and the general availability of RStudio Connect Execution Servers. Execution Servers enable horizontal scaling and high availability for all the content you develop in R. The 1.5.10...
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R in Africa

November 30, 2017 | 0 Comments

R is used around the world and yet, in English-speaking media at least, we tend to hear most about what is happening in North America, Europe, and Australasia. So we would like to highlight some recent initiatives in the R community from other regions of the world, with this first ... [Read more...]

Visualising SSH attacks with R

November 30, 2017 | 0 Comments

If you have any machine with an SSH server open to the world and you take a look at your logs, you may be alarmed to see so many login attempts from so many unknown IP addresses. DenyHosts is a pretty neat service for Unix-based systems which works in the ...
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R 3.4.3 released

November 30, 2017 | 0 Comments

R 3.4.3 has been released, as announced by the R Core team today. As of this writing, only the source distribution (for those that build R themselves) is available, but binaries for Windows, Mac and Linux should appear on your local CRAN mirror within the next day or so. This is ... [Read more...]

A quick introduction to using color in density plots

November 30, 2017 | 0 Comments

To become a great data scientist, you need to master data visualization. One intermediate topic that you’ll need to learn is how to work with color. Specifically, you’ll need to learn how to manipulate the “fill” color of things like density plots ... The post A quick introduction to ... [Read more...]

Tidyverse Cheat Sheet For Beginners

November 30, 2017 | 0 Comments

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... [Read more...]

A crazy day in the Bitcoin World

November 29, 2017 | 0 Comments

By Gabriel Vasconcelos Today, November 29, 2017 was a crazy day in the Bitcoin world and the craziness is still going on as I write this post. The price range was of thousands of Dollars in a few hours. Bitcoins … Continue reading →
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Sentiment Analysis of “A Christmas Carol”

November 29, 2017 | 0 Comments

Our family has been reading, listening to and watching “A Christmas Carol” for just abt 30 years now. I got it into my crazy noggin to perform a sentiment analysis on it the other day and tweeted out the results, but a large chunk of the R community is not on ...
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How to generate a Secret Santa list with R

November 29, 2017 | 0 Comments

Several recent blog posts have explored the Secret Santa problem and provided solutions in R. This post provides a roundup of various solutions and how they are implemented in R. If you wanted to set up a "Secret Santa" gift exchange at the office, you could put everyone's name into ... [Read more...]

Win-Vector LLC announces new “big data in R” tools

November 29, 2017 | 0 Comments

Win-Vector LLC is proud to introduce two important new tool families (with documentation) in the 0.5.0 version of seplyr (also now available on CRAN): partition_mutate_se() / partition_mutate_qt(): these are query planners/optimizers that work over dplyr::mutate() assignments. When using big-data systems through R (such as PostgreSQL or ...
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