Blog Archives

Data Journalism Awards Data Visualization of the Year, 2016

June 17, 2016
By
Data Journalism Awards Data Visualization of the Year, 2016

Congratulations to Peter Aldhous and Charles Seife of Buzzfeed News, winners of the 2016 Data Journalism Award for Data Visualization of the Year. They were recognized by their reporting for Spies in the Sky, which analyzed FAA air traffic records to visulize the domestic surveillance activities of the US government. Aldhouse and Seife used the R language to create...

Read more »

Gender ratios of programmers, by language

June 15, 2016
By
Gender ratios of programmers, by language

While there are many admirable efforts to increase participation by women in STEM fields, in many programming teams men still outnumber women, often by a significant margin. Specifically by how much is a fraught question, and accurate statistics are hard to come by. Another interesting question is whether the gender disparity varies by language, and how to define a...

Read more »

R holds top ranking in KDnuggets software poll

June 13, 2016
By
R holds top ranking in KDnuggets software poll

The open-source R language is the most frequently used analytics / data science software, selected by 49% of the 2895 voters of the 2016 KDNuggets Software Poll. (R was also the top selection in last year's poll.) Python was a close second at 45.8%, and SQL was third at 35.5%. (Respondents could select multiple tools in the poll, and...

Read more »

Interactive maps and charts in R

June 10, 2016
By
Interactive maps and charts in R

Randy George, an expert in web map applications, has been fascinated with computer graphics (especially maps) since the early '80s. For much of that time, he says, the technology for mapping has been pretty static: The main stay of web mapping applications for the last couple of decades has been three tier: Model – SQL, View – web UI,...

Read more »

In case you missed it: May 2016 roundup

June 8, 2016
By

In case you missed them, here are some articles from May of particular interest to R users. A 3-part tutorial on principal components regression in R: part 1, part 2, and part 3. Implications of the fact that in R, names have objects (and not vice-versa). Highlights of the R/Finance 2016 conference, according to Joseph Rickert. A template for...

Read more »

Ross Ihaka on the history of the R project

June 6, 2016
By

Ross Ihaka, one of the co-creators of R (along with Robert Gentleman), recently gave an interview to the University of Auckland's alumni magazine, Ingenio. In the article, he shares the story of the genesis of R in the early 1990s: The story all began back in the early 1990s when the internet was in its infancy and computers at...

Read more »

Visualizing a flood with R

June 3, 2016
By
Visualizing a flood with R

As more settlements in Texas and France are impacted by severe flooding, this is a good time to thank the hydrologists at the NOAA who forecast river level rises in advance and give residents in affected areas time to move to higher ground. Along with topgraphic, rainfall, and weather data, monitoring stations maintained by NOAA and the USGS along...

Read more »

An object has no name

May 27, 2016
By
An object has no name

No, it's not a Jaqen H'ghar quote. Recently, Hadley Wickham tweeted the following image: While this image isn't included in Hadley's Advanced R book, he does discuss many of the implications there. The most significant of these is that creating a copy of an object in R doesn't consume any additional memory. (Most of the time, anyway: there are...

Read more »

Predictive Maintenance for Aircraft Engines

May 25, 2016
By
Predictive Maintenance for Aircraft Engines

Recently, I wrote about how it's possible to use predictive models to predict when an airline engine will require maintenance, and use that prediction to avoid unpleasant (and expensive!) delays for passengers on the ground. Planes generate a lot of data that can be used to make such predictions: today’s engines have hundreds of sensors and signals that transmit...

Read more »

Feather: fast, interoperable data import/export for R

May 23, 2016
By
Feather: fast, interoperable data import/export for R

Unlike most other statistical software packages, R doesn't have a native data file format. You can certainly import and export data in any number of formats, but there's no native "R data file format". The closest equivalent is the saveRDS/loadRDS function pair, which allows you to serialize an R object to a file and then load it back into...

Read more »

Sponsors

Mango solutions



plotly webpage

dominolab webpage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training

datasociety

http://www.eoda.de





ODSC

ODSC

CRC R books series





Six Sigma Online Training









Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)