R for the Rest of Us

• R for the Rest of Us Podcast Episode #24: Simon Couch

   In this episode, I chat with Simon Couch, a software engineer at Posit, about his work on AI-powered R packages. Simon maintains open-source statistical software and explores how AI can streamline coding workflows. We discuss his journey from statistics and sociology to AI-driven tooling, his development of the PAL and Gander packages, and why AI won’t replace coding anytime soon—but can definitely make it easier. Improtant resources mentioned:Simon’s blogTidyverse blog post on PAL & GanderConnect with Simon on:  LinkedIn: Simon P. CouchBluesky: @simonpcouch.comMastodon: @[email protected]: @simonpcouch‬Subscribe to our newsletter: https://rfortherestofus.com/newsletter

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• R for the Rest of Us Podcast Episode #23: Terence Teo

  In this episode, I chat with Terence Teo, Professor at Seton Hall University and expert in creating stunning 3D maps using the {rayshader} package in R. Terence discusses his journey into data visualization, specifically his use of R and the RayShader package to create mesmerizing 3D maps. Terence shares insights from his academic background in political science, his creative process for making maps, and how he balances artistic flair with technical rigor. The discussion dives into geospatial data, the intricacies of the {rayshader} and {rayrender} packages, and the value of experimentation in visual storytelling.Important resources mentioned:River Basins of the Iberian Peninsula: https://bsky.app/profile/tterence.bsky.social/post/3kdbsv4bbc32kGitHub repo of code usedConnect with Terence on:  X: @researchremoraBluesky: @tterence.bsky.social‬Subscribe to our newsletter: https://rfortherestofus.com/newsletter

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• R for the Rest of Us Podcast Episode #22: Alex Gold

  In this episode, I chat with Alex Gold, who leads solution engineering and support teams at Posit. We talk about his new book ‘DevOps for Data Science’, and explore why DevOps principles are crucial for data scientists, even if you aren't working in hardcore production environments. Alex shares insights on how to think about putting your data science projects into "production"—whether it's a report for colleagues or a full-scale deployment. We discuss practical tips like using {renv} to manage package versions and ensure reproducibility, and Alex gives a live demo on setting it up in an R project. Tune in for key takeaways on making your data science work more robust, shareable, and ready for production.Important resources mentioned:DevOps for Data Science: Buy the book here at 20% off using the discount code AFLY04. Check out the Github repo if interested.Connect with Alex on:  X: @alexkgoldLinkedIn: Alex GoldHis website (alexkgold.space), where he occasionally blogs about data, management, and leadership.Subscribe to our newsletter: https://rfortherestofus.com/newsletter

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• R for the Rest of Us Podcast Episode #21: Cédric Viddone

  In this episode, I talk with Cédric Viddone, an Information Management Officer at UNHCR with over 15 years of experience in humanitarian data visualization. Cédric shares his journey from GIS and cartography to creating impactful infographics and embracing the R programming language. He discusses how R has revolutionized data efficiency within UNHCR, where it aids in producing faster, reproducible data products essential for crisis response. Cedric also highlights the growth of the UNHCR R community and introduces the organization's data visualization guidelines platform, which includes a custom ggplot theme that streamlines UNHCR branding. Additionally, Cédric explores the advantages of Quarto for developing UNHCR-branded templates, enabling team members to create consistent, polished reports with ease.Important resources mentioned: UNHCR data visualization platformUNHCR branded theme for ggplot2 and data visualization color palettesUNHCR Quarto revealjs extensionUNHCR data viz GitHub repoConnect with Cédric on:X: @cvidonneMastodon: @[email protected]: Cédric ViddoneSubscribe to our newsletter: https://rfortherestofus.com/newsletter

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• R for the Rest of Us Podcast Episode #20: Christine Parker

  In this episode, I talk with Christine Parker, the Senior GIS Analyst on the Community Broadband Networks team at the Institute for Local Self Reliance. Christine shares how she used R to clean, combine, and summarize data for a dashboard tracking enrollment in the Affordable Connectivity Program (ACP), a COVID-era initiative to help people access affordable internet. The dashboard gained wide attention. It was shared in advocacy circles, referenced in Congress, and discussed with the White House. Christine highlights R's value for performing repeatable data tasks, particularly with regularly updated datasets, and its advantages compared to manual Excel processes.Important resources mentioned:The ACP dashboard Code that Christine used to create the dashboardConnect with Christine on:  X: @birdwranglerLinkedIn: Christine Parker, PhDSubscribe to our newsletter: https://rfortherestofus.com/newsletter

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