Book Review: Graphical Data Analysis with R
By Joseph Rickert by Joseph Rickert Basically, there are two kinds of graphics or plots you can make from a data set: (1) those that allow you to see what is going on with the data, and (2) those you...
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The representative reviewers project for the SJDM conference
By dan MAKING SURE THE REVIEWERS REFLECT THE MEMBERSHIP Click to enlarge Perhaps because it is an election year in the US, we’ve been thinking a lot about proportional representation. The Society for...
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Introducing cricket package yorkr: Part 3-Foxed by flight!
By Tinniam V Ganesh Introduction He will win, who knows when to fight and when not to fight. He will win, who knows how to handle both superior and inferior forces If you know neither the enemy nor...
View Article52Vis Week 2 (2016 Week #14) – Honing in on the Homeless
By hrbrmstr library(readxl) library(purrr) library(dplyr) library(tidyr) library(stringr) library(ggplot2) library(scales) library(grid) library(hrbrmisc) # grab the HUD homeless data URL...
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Shiny module design patterns: Pass a single input to multiple modules
By Steph For the awesome Shiny Developers Conference back in January, I endeavoured to learn about shiny modules and overhaul an application using them in the space of two days. I succeeded and almost...
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Mapping Twitter Followers in R
By lucaspuente.github.io My colleague Jon Lieber and I recently released a new report that analyzes how digital marketplaces that connect workers to consumers demanding their services (e.g. Uber,...
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d3/R Chord Diagram of White House Petition Data
By Steve Simpson The OpenData movement has the White House producing and releasing some novel datasets.One of them is the We The People petition site. I learned about this from Proofreader.com’s...
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One-sided F-tests and halving p-values
By Daniel Lakens After my previous post about one-sided tests, some people wondered about two-sided F-tests. And then Dr R recently tweeted: No, there is no such thing as a one-tailed p-value for an...
View ArticleBook Review: Graphical Data Analysis with R
By Joseph Rickert by Joseph Rickert Basically, there are two kinds of graphics or plots you can make from a data set: (1) those that allow you to see what is going on with the data, and (2) those you...
View ArticleHalf off Win-Vector data science books and video training!
By John Mount We are pleased to announce our book Practical Data Science with R (Nina Zumel, John Mount, Manning 2014) is part of Manning’s “Deal of the Day” of April 9th 2016. This one day only offer...
View ArticleHalf off Win-Vector data science books and video training!
By John Mount We are pleased to announce our book Practical Data Science with R (Nina Zumel, John Mount, Manning 2014) is part of Manning’s “Deal of the Day” of April 9th 2016. This gets you half off...
View ArticleBecause it’s Friday: Ridin’ on a Jet Stream
By David Smith We’ve mentioned earth.nullschool.net‘s beautiful visualizations of global weather before, but without Cameron Beccario I would have missed this amazing view of the North Pole showing the...
View ArticleIn case you missed it: March 2016 roundup
By David Smith In case you missed them, here are some articles from February of particular interest to R users. Reviews of new CRAN packages RtutoR, lavaan.shiny, dCovTS, glmmsr, GLMMRR,...
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Who Came to Vote in Utah’s Caucuses?
By Julia Silge Late last month, I analyzed results from Utah’s Republican and Democratic caucuses to show how the different presidential candidates fared across Utah. That was fun work to do, but I...
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Try’in to 3D network: Quest (shiny + plotly)
By dgrapov I have an unnatural obsession with 4-dimensional networks. It might have started with a dream, but VR might make it a reality one day. For now I will settle for 3D networks in Plotly....
View ArticleFree data science video lecture: debugging in R
By John Mount We are pleased to release a new free data science video lecture: Debugging R code using R, RStudio and wrapper functions. In this 8 minute video we demonstrate the incredible power of R...
View ArticleFree data science video lecture: debugging in R
By John Mount We are pleased to release a new free data science video lecture: Debugging R code using R, RStudio and wrapper functions. In this 8 minute video we demonstrate the incredible power of R...
View ArticleSafe Loading of RData Files
By adamleerich Unless you have configured R not to ask, every time you close R or RStudio you are prompted to save your workspace. This saves an RData file to the working directory. The functions...
View ArticleFeather: A Fast On-Disk Format for Data Frames for R and Python, powered by...
By hadleywickham Wes McKinney, Software Engineer, ClouderaHadley Wickham, Chief Scientist, RStudio This past January, we (Hadley and Wes) met and discussed some of the systems challenges facing the...
View ArticleRStudio at the Open Data Science Conference
By Roger Oberg If you’re a data wrangler or data scientist, ODSC East in Boston from May 20-22 is a wonderful opportunity to get up-to-date on the latest open source tools and trends. R and RStudio...
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