The 3 Doors of Data Transformation
This course covers the three most popular package ecosystems for data transformation in R: base R, tidyverse and data.table. You will see which options are better suited for specific use...continue reading.
This course covers the three most popular package ecosystems for data transformation in R: base R, tidyverse and data.table. You will see which options are better suited for specific use...continue reading.
Photo by Stillness InMotion on Unsplash In previous posts, we’ve talked about the critical importance of interoperability, and how it helps organizations and data science teams get the most out...continue reading.
This is the latest in my series of screencasts demonstrating how to use the tidymodels packages, from starting out with first modeling steps to tuning more complex models. Today’s screencast...continue reading.
Estimate how commercial characteristics like humor and patriotic themes change with time using tidymodels functions for bootstrap confidence intervals.continue reading.
Photo by Stillness InMotion on Unsplash In previous posts, we’ve talked about the critical importance of interoperability, and how it helps organizations and data science teams get the most out...continue reading.
It is not yet clear what lasting impact the Covid-19 pandemic will ultimately have on R conferences. We are still adapting to our inability to attend large events, and trying...continue reading.
Photo by JD Long We are excited to announce the fourth formal summer internship program at RStudio. The goal of our internship program is to enable RStudio employees to collaborate...continue reading.
Photo by JD Long We are excited to announce the fourth formal summer internship program at RStudio. The goal of our internship program is to enable RStudio employees to collaborate...continue reading.
In this blog post, I want to discuss something that I, personally, have never seen discussed; how to create a “serverless” (or “shinyless” you could say) dashboard using R. I...continue reading.
Brim Security maintains a free, Electron-based desktop GUI for exploration of PCAPs and select cybersecurity logs: along with a broad ecosystem of tools which can be used independently of the...continue reading.
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Ryo Nakagawara, with help from the R Weekly...continue reading.
Abstract: This page is an updated version of the 2020-12-28 blog post Age Stratified All-Cause and COVID-19 Associated Mortality. The post considers the age stratified all-cause and COVID-19 associated mortality...continue reading.
Virtual events will be a constant fixture on our calendars for the remainder of 2021, and are set to be… The post 6 tips for presenting successfully online appeared first...continue reading.
New Course Available Now: Advanced Data Transformation Data comes in many shapes and forms from all kinds of data sources. The first step before any statistical analysis can be done,...continue reading.
Weighted wiggles and smoothed categoriescontinue reading.
As The Riddler proposed for several weeks a CrossProduct™ puzzle when 3 x n one-digit integers have to be deduced from their rowwise and columnwise products, I attempted at writing...continue reading.
Deep Learning in R – MNIST Classifier with Keras In a day and age where everyone seems to know how to solve at least basic deep learning tasks with Python,...continue reading.
One of my favourite things about dplyr is that it decouples describing the data manipulation you want from its actual computation. This makes it possible to take basically the same...continue reading.
While having breakfast (after an early morn swim at the vintage La Butte aux Cailles pool, which let me in free!), I noticed a letter to the Editor in the...continue reading.
Two hundred thirty new packages made it to CRAN in January. Here are my “Top 40” selections in ten categories: Data, Finance, Genomics, Machine Learning, Medicine, Science, Statistics, Time Series,...continue reading.