By some minor miracle (even on April Fools) the R Weekly Highlights podcast has made it to episode 200! We go "virtual" shopping for LLM-powered text analysis and prediction using the mall package, and how recent advancements in the grid and ggplot2 packages empower you to make use of highly-customized gradients. Plus listener feedback!Episode LinksThis week's curator: Jon Calder - @jonmcalder@fosstodon.org (Mastodon) & @jonmcalder (X/Twitter)Text Summarization, Translation, and Classification using LLMs: mall does it allThe guide to gradients in R and ggplot2Entire issue available at rweekly.org/2025-W14Supplement ResourcesMall: Run multiple LLM predictions against a data frame with R and Python https://mlverse.github.io/mall/Announcing rixpress https://brodrigues.co/posts/2025-03-20-announcing_rixpress.htmlHack your way to scientific glory https://stats.andrewheiss.com/hack-your-way/538Supporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-Weekly Highlights on the Podcastindex.org - You can send a boost into the show directly in the Podcast Index. First, top-up with Alby, and then head over to the R-Weekly Highlights podcast entry on the index.A new way to think about value: https://value4value.infoGet in touch with us on social mediaEric Nantz: @rpodcast@podcastindex.social (Mastodon), @rpodcast.bsky.social (BlueSky) and @theRcast (X/TwitterMike Thomas: @mike_thomas@fosstodon.org (Mastodon), @mike-thomas.bsky.social (BlueSky), and @mike_ketchbrook (X/Twitter) Music credits powered by OCRemixDark World Jazz - The Legend of Zelda: A Link to the Past - Gux - https://ocremix.org/remix/OCR00156