R News from another blog for R community
How to prevent data leakage in pandas & scikit-learn ☔
What is data leakage, why is it problematic, and how can you prevent it when working on a supervised Machine Learning problem in Python?continue reading.
Q1 2024 tidymodels digest
The tidymodels framework is a collection of R packages for modeling and machine learning using tidyverse principles. Since the beginning of 2021, we have been publishing quarterly updates here on...continue reading.
News from the sparkly-verse
Highlights to the most recent updates to `sparklyr` and friendscontinue reading.
R Weekly 2024-W17 volcano plots, box, duckplyr
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Jonathan Carroll, with help from the RWeekly team...continue reading.
R Highcharts Drilldown – How to Create Animated and Interactive Drilldown Charts in R
You have the fundamentals of R Highcharts under your belt by now. The next logical step is to introduce a bit more complexity in the code, but for the greater...continue reading.
tune 1.2.0
We’re indubitably amped to announce the release of tune 1.2.0, a package for hyperparameter tuning in the tidymodels framework. You can install it from CRAN, along with the rest of...continue reading.
Introduction to Quality Assurance for Shiny for Python Dashboards with Playwright
Business needs to have dashboards validated. Many companies have dedicated Quality Assurance teams. As software engineers, we call the validation process testing. The process of validating an app by mimicking...continue reading.
Counting Down to ShinyConf 2024: Why Attending Can Be a Game Changer for Your Career
Ignite your passion and propel your career at ShinyConf 2024, online from the 17th to the 19th of April! This isn’t just another conference; it’s an opportunity to stay ahead...continue reading.
R Weekly 2024-W16
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Tony ElHabr, with help from the R Weekly...continue reading.
Job Posting: Fantasy Football Content Creator
Come Join the FFA Team Location Remote Description In 2013, we at Fantasy Football Analytics (FFA) released web apps to help people make better decisions in fantasy football based on[…]...continue reading.
Should you discretize continuous features for Machine Learning? 🤖
Learn how to “discretize” or “bin” your continuous features using Python’s scikit-learn, and find out why I usually don’t recommend doing so.continue reading.
Tidyverse developer day 2024
It’s been a hot minute since the last one, but we are very excited to announce that the next tidyverse developer day will be after posit::conf in Seattle on August...continue reading.
Git Gud: Version Control Best Practices
Git best practices are essential for developers looking to manage their projects efficiently. In this article, we’ll dive into the key techniques that can transform your version control workflow, ensuring...continue reading.
dbplyr 2.5.0
We’re most pleased to announce the release of dbplyr 2.5.0. dbplyr is a database backend for dplyr that allows you to use a remote database as if it was a...continue reading.
R Weekly 2024-W15 Nix, webR & visualizing dplyr
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Jon Calder, with help from the R Weekly...continue reading.
R Highcharts: How to Make Animated and Interactive Data Visualizations in R
If you’re looking to take your R data visualization skills to the next level, interactivity is the name of the game. There aren’t too many packages that offer it out...continue reading.
Chat with AI in RStudio
Interact with Github Copilot and OpenAI’s GPT (ChatGPT) models directly in RStudio. The `chattr` Shiny add-in makes it easy for you to interact with these and other Large Language Models...continue reading.
Survival analysis for time-to-event data with tidymodels
We’re tickled pink to announce the support of survival analysis for time-to-event data across tidymodels. The tidymodels framework is a collection of R packages for modeling and machine learning using...continue reading.
Navigating ShinyConf 2024: A First-Timer’s Guide to Virtual Conferences
With ShinyConf 2024 just around the corner, first-time attendees may find themselves grappling with a mix of excitement and uncertainty. Fear not! This comprehensive guide aims to equip you with...continue reading.
Discover great_tables: The Python Answer to R’s {gt} Package for Table Formatting in Quarto and PyShiny
Crafting compelling narratives often depends on presenting insights clearly and effectively. This skill is key for data science. For users of R’s {gt} package, it has provided a powerful and...continue reading.
