This is an exciting week for us on the tidymodels team; we launched tidymodels.org, a new central location with resources and documentation for tidymodels packages. There is a TON to...continue reading.
The Root Problem: We Don’t All Speak the Same Language Organizations across the modern business world recognize the critical importance of Data Science for competitive advantage. That recognition has driven...continue reading.
The tidyverse is full of functions for reading data, beginning with “read_”. The read_csv I’ve used to access my reads2019 data is one example, falling under the read_delim functions. read_tsv...continue reading.
April 23rdth (8:00pm GMT+2) is the next time we’ll be hosting a webinar at Why R? Foundation YouTube channel – https://youtube.com/c/WhyRFoundation This time we will have a joint presentation by...continue reading.
If you are a data scientist with a built-out set of modeling tools that you know well, and which are almost always adequate for getting your work done, it is...continue reading.
We’re thrilled to announce the launch of tidymodels.org! The site is a central location for learning and using the tidymodels packages. It has a new take on a familiar look:...continue reading.
A new sparklyr release is now available. This sparklyr 1.2 release features new functionalities such as support for Databricks Connect, a Spark backend for the ‘foreach’ package, inter-op improvements for...continue reading.
Launch of New Course Platform After months of hard work we are really excited to launch our brand-new course platform to learn and apply data science. Together with the new...continue reading.
“…an essential part of understanding how many ties these RNGs produce is to understand how many ties one expects in 32-bit integer arithmetic.” A sort of a birthday-problem paper for...continue reading.
This is the second of two articles about our recent participation in the Pandemic Response Hackathon. Our project (CoronaRank) was one of only 5 projects out of 230 submissions chosen...continue reading.
Two years ago, when I did Blogging A to Z of R, I talked about qplots. qplots are great for quick plots – which is why they’re named as such...continue reading.
My first encounter with Bayesian statistics was around 10 years ago, when I was doing my econometrics master’s degree. I was immediately very interested by the Bayesian approach to fit...continue reading.
Hello and welcome to this new issue! Release Date: 2020-04-20 This week’s release was curated by Miles McBain, with help from the RWeekly team members and contributors. Highlight Automating R...continue reading.
My first encounter with Bayesian statistics was around 10 years ago, when I was doing my econometrics master’s degree. I was immediately very interested by the Bayesian approach to fit...continue reading.
I was thinking the other day about the “fast path” to mastering data science. I think about this a lot, frankly, because our data science courses are designed to be...continue reading.
We’ve used ggplots throughout this blog series, but today, I want to introduce another package that helps you customize scales on your ggplots – the scales package. I use this...continue reading.
After going virtual eRum2020 launches the CovidR contest, a data contest of R contributions around the topic of the COVID-19 pandemic, and an online pre-conference event. The post A new...continue reading.
This will be a quick post on another tidyverse function, order_by. I’ll admit, I don’t use this one as often as arrange. It can be useful, though, if you don’t...continue reading.
As we’re all aware, the impact of the current global pandemic has been significant. We know that many in the R community are involved in the response, and we want...continue reading.
As we’re all aware, the impact of the current global pandemic has been significant. We know that many in the R community are involved in the response, and we want...continue reading.
Artificial intelligence / Deep neural networks / Keras / R / R News / Spark
April 22, 2024
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
