R for the Rest of Us

Looking to highlight key trends in your charts? 📈 My latest blog post and YouTube video is a simple step-by-step guide to creating a polished line chart that highlights the differences between two variables over a specific range of time, helping the viewer focus on key periods of interest in the data. There’s a lot to learn, so just dive into it using the link in the comments below! #rstats

Ever seen a chart and thought, “How can I recreate that?” In my latest video and blog post, I break down how to recreate a chart I saw on the New York Times chart showing the gap between existing and new mortgage rates in the US. I demonstrate how to highlight the gap between two lines—perfect for showing key trends in your data. You’ll learn: ✅ How to use geom_ribbon() to highlight differences between two variables ✅ Add annotations to emphasize important insights ✅ Use geom_textpath() to label lines directly (no more legends!) 🎥 Check out both the video and blog post using the link in the comments below! #rstats #DataViz #ggplot2

As a data scientist, embracing best practices is essential for making your work production-ready. Here are some fundamental principles to consider: ➡ Capture your environments as code. ➡ Design your project architecture thoughtfully. ➡ Implement logging and monitoring. ➡ Prioritize security from the outset. ➡ Communicate your needs clearly with IT. For a deeper dive into these concepts and practical tips to prepare your projects for production, check out our recent chat with Alex Gold from Posit PBC. 🔗 Link to the episode in the comments below! #RStats #DataScience #DevOps

This week on What's New in R, we're featuring: ✅ A free book for learning R from the ground up ✅ An insightful exploration of different ways to examine R objects by Kelly Bodwin ✅ Tutorial by Pete Jones on controlling where Quarto saves your output files Read the issue: https://lnkd.in/dAXyfYi9 Sign up to get What's New in R in your inbox: https://lnkd.in/gmzCjesj #rstats

It’s easy to feel like your work isn’t “real” data science when you're not deploying hundreds of models or managing complex, streaming data systems. But here’s the truth, as Alex Gold highlights in our latest podcast episode: Most impactful data science is done with modestly sized data and straightforward tools. Whether you're generating reports, building Shiny apps, or pulling data from Google Sheets, your work matters. Tune into this insightful episode for more! Links to the audio and video versions are provided in the comments below! 👇 #Rstats #DataScience #DevOps

In the latest episode of R for the Rest of Us podcast, Alex Gold from Posit PBC dives deep into how DevOps is transforming the way data science teams operate! 🔧📊 DevOps plays a critical role in managing complex workflows, ensuring reproducibility, and scaling data projects. Alex walks us through a live demo of setting up {renv} in R, and shares practical tips for making package management and project collaboration smoother. Want to learn how DevOps and data science intersect? Catch this episode using the links in the comments below!👇 #rstats #DataScience #DevOps

Small tweaks in R data visualization can have a big impact on storytelling! In a recent tutorial, I created an animated map to visualize refugee trends over time in the Middle East using {gganimate}. If you’re comfortable with ggplot, you too can easily animate your plots with {gganimate}. Catch the tutorial in the comments below! #RStats #DataViz #HumanitarianData

Thank you to everyone who purchased courses during our recent Black Friday sale. With your support, we were able to make a donation of $817 to UNHCR.

This week on What's New in R, we're featuring: ✅ Blog post by Athanasia Monika Mowinckel about creating blog post summaries with AI from hugging Face ✅ A visualization of Greenland’s ice thickness by Timothée Giraud ✅ The {forgts} package, developed by Luis D. Verde Arregoitia, for replicating Excel formatting in tables made in R Read the issue: https://lnkd.in/dkrdihEX Sign up to get What's New in R in your inbox: https://lnkd.in/gmzCjesj #rstats

Animation is a powerful way to make complex data more engaging and insightful. With the {gganimate} package in R, you can easily create animated geospatial maps. 🌍 In a recent tutorial, I demonstrate step-by-step how to build a map visualizing refugee trends over time in the Middle East, highlighting year-by-year changes. Check out the video tutorial and blog post to see the code used! (Link in the comments) #RStats #DataViz #HumanitarianData