waldo
We’re stoked to announce the waldo package. waldo is designed to find and concisely describe the difference between a pair of R objects. It was designed primarily to improve failure...continue reading.
We’re stoked to announce the waldo package. waldo is designed to find and concisely describe the difference between a pair of R objects. It was designed primarily to improve failure...continue reading.
There are plentiful examples of spreadsheet applications leading analysts astray. Believe all the scary stories. Spreadsheets can silently damage your data, converting numbers to dates or dropping leading zeros from...continue reading.
“Overengineering is the act of designing a product to be more robust or have more features than often necessary for its intended use, or for a process to be unnecessarily...continue reading.
“Overengineering is the act of designing a product to be more robust or have more features than often necessary for its intended use, or for a process to be unnecessarily...continue reading.
tl;dr As of late 2020 there are many dashboarding/reporting/BI tools out there, with the most popular ones being Tableau, PowerBI, and R Shiny. The question quickly becomes – “How can I determine...continue reading.
This post is part of a series on new features in RStudio 1.4, currently available as a preview release. What’s a Command Palette? Just as a paint palette gives the...continue reading.
Which of the Datasaurus Dozen are easier or harder for a random forest model to identify? Learn how to use multiclass evaluation metrics to find out.continue reading.
This post is part of a series on new features in RStudio 1.4, currently available as a preview release. What’s a Command Palette? Just as a paint palette gives the...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.
The CDC continues to “deliver” in 2020, this time by changing the JSON response of one of the hidden APIs that my {cdcfluview} package wraps. CDC: So helpful! It was...continue reading.
Don’t we all miss 2019 (blame Covid for the long delay in this post). The days of going to work and seeing your work colleagues face to face – and...continue reading.
Data Science und künstliche Intelligenz sind der Schlüssel zur zukünftigen Wertschöpfung und Wettbewerbsfähigkeit vieler Organisationen. Daher ist im Rahmen von KI-Initiativen effizientes Change-Management zur Transformation des Denkens im Top-Down-Prozess dringend...continue reading.
The fourth edition of Why R? Conference (2020.whyr.pl) finished this weekend. The post presents the highlights of the conference and the overall summary. You can find all videos from the...continue reading.
Photo by Kelly Sikkema on Unsplash Many of the strategies at my old investment shop were thematically oriented. Among them was the notion of the “data deluge.” We sought to...continue reading.
The Delphi epidemiological forecasting group at Carnegie Mellon University is undertaking a massive effort to develop leading indicators for COVID-19 outbreaks, and if you are an R or Python developer...continue reading.
The R Core Team has released R 4.0.3 (codename: “Bunny-Wunnies Freak Out”), the latest update to the R statistical computing system. This is a minor update to the R 4.0.x...continue reading.
Learn how to display your pretty R tables in GitHub by hosting your .Rmd html output with GitHub pages.continue reading.
Hello and welcome to this new issue! Release Date: 2020-10-12 This week’s release was curated by Eric Nantz, with help from the RWeekly team members and contributors. How to have...continue reading.
We are excited to announce a number of powerful, new functionalities and improvements which are now part of sparklyr.flint 0.2!continue reading.
A book to read most urgently if hoping to take an informed decision by 03 November! Written by a political scientist cum statistician, Ole Forsberg. (If you were thinking of...continue reading.