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R Weekly Highlights

Eric Nantz
R Weekly
Shiny
Quarto
R Programming
Data Visualization
Python
Large Language Models
Data Science
Duckdb
Git
Webassembly
Positron
Ggplot2
R Opensci
Positconf
Tidyverse
Data.table
Dplyr
R Consortium
Github

The R Weekly podcast offers a quick description of the latest highlighted stories and other stories from the latest R Weekly issue, as curated by the R Weekly team and R community.

PublishesWeeklyEpisodes229Founded6 years ago
Number of ListenersCategory
Science

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Artwork for R Weekly Highlights

Latest Episodes

The power of choice is in full effect! How you can leverage GitLab to publish your next Quarto document online, how to bring key R functional paradigms to a Python session, and adding a larger safety net with your unit tests with {mutagen} 0.2.0. 

E... more

Applying novel statistical and visualization techniques to predict war duration, why there is more than meets the statistical eye behind a classical model benchmarking statistic, and celebrating a major milestone for pioneers in open science with R. ... more

A massive milestone for the language that eventually led to the R we know and love, plus a comprehensive look at two popular workflow frameworks across the R and Python ecosystems.

 

Episode Links 

* This week's curator: Jon Calder - @jonmcalder@fo... more

If Shiny wasn't awesome enough, a new toolkit is bringing the awesome to new heights! Plus a handful of ggplot2 functions that can immediate impact common visualization operations, and knitr gains support for a much-hyped typesetting format for the s... more

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Recent Guests

Colin Fay
Esteemed curator, author of All Things Golem and other shiny related utilities
R Weekly / R Weekly team
Episode: Issue 2026-W21 Highlights
Sharon Macklis
Former writer for InfoWorld focused on R and AI
InfoWorld
Episode: Issue 2026-W09 Highlights
Pete Negrage
Contributor on the Paired Ends blog discussing software licensing
Paired Ends
Episode: Issue 2026-W09 Highlights
Myle Salmon
Former R Weekly Curator discussing effective use of Git
Episode: Issue 2026-W09 Highlights
Emily Readerer
Data scientist with extensive experience using SQL, R, and Python
Episode: Issue 2026-W06 Highlights
Nicola Rini
Data visualization expert and contributor to R Weekly
Independent
Episode: Issue 2025-W51 Highlights
Camilla Lievio
Research professional at the Center for International Trade and Security
University of Georgia
Episode: Issue 2025-W14 Highlights
Nicola Rinne
Expert on visualizations in R
Episode: Issue 2025-W07 Highlights
Jon McIntosh
Data specialist and package developer at NHS
NHS Highland
Episode: Issue 2025-W07 Highlights

Hosts

Eric Nantz
Host of R Weekly Highlights; long-time contributor to R Weekly ecosystem
Mike Thomas
Co-host of the show; key collaborator with Eric Nantz

Chart Rankings

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Apple Podcasts
#40
Italy/Science

Talking Points

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Issue 2026-W21 Highlights
Q: Why is R-squared alone not sufficient to judge a model's performance in real practice?
Because it measures only the proportion of variance explained by the model and can be gamed by overfitting. A model with a high R-squared on training data may perform poorly on unseen data, so evaluation on held-out test data and attention to the broader modeling pipeline are essential for reliable predictions.

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Frequently Asked Questions About R Weekly Highlights

What is R Weekly Highlights about and what kind of topics does it cover?

This show curates practical, in-the-weeds updates from the R Weekly issue, with a focus on how R tools and workflows are used in data science, engineering, and analytics. Episodes emphasize real-world techniques—from data pipelines and Shiny apps to logging, reproducibility, and AI-assisted coding—along with licensing, governance, and community resources. The tone is accessible and practitioner-focused, often pairing tool comparisons (DBT, Targets, DuckDB, Shiny toolkits) with hands-on tips and quick discoveries that listeners can apply directly to their own projects. A standout strength is its ability to translate ongoing R ecosystem developments into actionable takeaways, making it useful for developers, data scientists, and data engineer... more

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Which podcasts are similar to R Weekly Highlights?

These podcasts share a similar audience with R Weekly Highlights:

1. The Test Set by Posit
2. Super Data Science: ML & AI Podcast with Jon Krohn
3. The AI Daily Brief: Artificial Intelligence News and Analysis
4. Masters in Business
5. Conversations with Tyler

How many episodes of R Weekly Highlights are there?

R Weekly Highlights launched 6 years ago and published 229 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on R Weekly Highlights?

Recent guests on R Weekly Highlights include:

1. Colin Fay
2. Sharon Macklis
3. Pete Negrage
4. Myle Salmon
5. Emily Readerer
6. Nicola Rini
7. Camilla Lievio
8. Nicola Rinne

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