Our first tidyverse developer day, held after rstudio::conf(2019), was a great success. We’re excited to announce that we’ll be holding another one – this time the day before the start of useR! 2019 in Toulouse, France (Monday, July 8th). 📆 When: 8 July, 9 am – 5 pm. 📍 Where: The same location as useR!, the congress centre “Pierre Baudis”. 👥 Who: Anyone who would like to get better at contributing to the tidyverse!
Other content in this Stream
R version support
Which versions of R do tidyverse packages support? Though package-specific minimum versions of R are given in the Depends fields of individual DESCRIPTION files, our general policy is to support...
readxl 1.1.0
We are pleased to announce that readxl 1.1.0 is now available on CRAN. Learn more about readxl at http://readxl.tidyverse.org. The readxl package makes it easy to get tabular data out of Excel...
Upvoting issues
Contributions to the tidyverse, and to open source software in general can be framed as various forms of “feedback.” Giving useful feedback can be hard! That’s one of the reasons that File issues...
dplyr 0.8.0
We’re tickled pink to announce the release of version 0.8.0 of dplyr, the grammar of data manipulation in the tidyverse. This is a major update that has kept us busy for almost a year. We take the...
bigrquery, and incorporating R into a GCP Data Pipeline
@NickCanova wrote: Hi all, I am a longtime R and Tidyverse user, and I recently joined a small data team of 3 at a company where our data team of 3 uses GCP extensively...
Tidy dev day take two: Toulouse
We had our second official tidyverse developer day just before useR! 2019 in Toulouse. It was a fun day, and we managed to merge around 40 pull requests on the day, and nearly 30 more afterwards....
googledrive v1.0.0
Introduction We’re jazzed to announce the release of googledrive v1.0.0 (https://googledrive.tidyverse.org). googledrive wraps the Drive REST API v3. The most common file operations are...
rlang 0.4.0
It is with great excitement that we announce the release of rlang 0.4.0 on CRAN. rlang is a toolkit for working with core R and Tidyverse features, and hosts the tidy evaluation framework. The...
54:49A Gentle Introduction to Tidy Statistics in R
R is a fantastic language for statistical programming, but making the jump from point and click interfaces to code can be intimidating for individuals new to R.
Tidy Evaluation with rlang Cheat Sheet
Tidy Evaluation (Tidy Eval) is a framework for doing non-standard evaluation in R that makes it easier to program with tidyverse functions.
Tidyverse dev day at useR! 2019
Our first tidyverse developer day, held after rstudio::conf(2019), was a great success. We’re excited to announce that we’ll be holding another one – this time the day before the start of useR!...
R version support
Which versions of R do tidyverse packages support? Though package-specific minimum versions of R are given in the Depends fields of individual DESCRIPTION files, our general policy is to support...
Graph analysis using the tidyverse
It is because I am not a graph analysis expert that I thought it important to write this article. For someone who thinks in terms of single rectangular data sets, it is a bit of a mental leap to...
dplyr 0.8.0
We’re tickled pink to announce the release of version 0.8.0 of dplyr, the grammar of data manipulation in the tidyverse. This is a major update that has kept us busy for almost a year. We take the...
rstudio::conf 2019 Workshop materials now available
rstudio::conf 2019 featured 15 workshops on tidyverse, Shiny, R Markdown, modeling and machine learning, deep learning, big data, and what they forgot to teach you about working with R. Some of...
rstudio::conf 2019 Workshop materials now available
rstudio::conf 2019 featured 15 workshops on tidyverse, Shiny, R Markdown, modeling and machine learning, deep learning, big data, and what they forgot to teach you about working with R. Some of...
20:19Using R, the Tidyverse, H2O, and Shiny to reduce employee attrition - Matt Dancho
An organization that loses 200 high-performing employees per year has a lost productivity cost of about $15M/year. This cost is massive, yet many organizations don’t know it exists.
19:49Spatial data science in the Tidyverse - Edzer Pebesma
Package sf (simple feature) and ggplot2::geom_sf have caused a fast uptake of tidy spatial data analysis by data scientists. Important spatial data science challenges are not handled by...
21:16Learning and using the tidyverse for historical research - Jesse Sadler
My talk will discuss how R, the tidyverse, and the community around R helped me to learn to code and create my first R package. My positive experiences with the resources for learning R and...
20:24Lazy evaluation - Jenny Bryan