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  1. Here's the finished version of this chart!

    📊 Sunburst chart made with in
    ✋ Dropdown interaction added with {ggiraph} with a few little JavaScript helpers
    📚 Combined with

    Yes, you can make interactives in R without requiring Shiny!

  2. Thanks so much to those who joined me at the Posit Data Science Lab with Libby Heeren and Nick Rohrbaugh!

    Here's what I came up with in ~50 minutes of live-coding a chart - a parameterised plot, showing which continents twinned cities are from!

    A few more things I want to add: tooltips to show city/country names, dropdown to choose a country, and slightly better text contrast!

    Code from the lab and resources: nrennie.rbind.io/talks/posit-d

  3. An annotation-heavy, faceted area chart for this week providing different ways of looking at historic ship production in Italy 🚢

    📊 Made in with

    Code: github.com/nrennie/tidytuesday

  4. This week's is all about agricultural tariffs in the USA, and I decided to focus in on tariffs on jam 🍓

    Of course, that naturally led to figuring out how to write code to plot jam jars in !

    Code: github.com/nrennie/tidytuesday

  5. Day 26 of the : Trend 📊 (a couple of days early)

    A simple chart made with to show how easy it is to get nice-looking, effective charts with {ggauto}!

  6. This week's data is all about Global Health Spending 💰️

    I created a minimalist world map showing the percentage of health spending on preventive care 📊

    Notable upticks in 2021 across many countries, higher % overall in African countries, and lots of missing data

    Code: github.com/nrennie/tidytuesday

  7. For this week's data on sea bird sightings, there was an obvious choice for which type of bird to focus on - penguins! 🐧

    📊 Bubble timeline made with
    🎨 Colours inspired by {palmerpenguins}
    📝 Annotations added with {cowplot}

    Code: github.com/nrennie/tidytuesday

  8. Day 4 of the : Slope 📊

    ⛷️ Slope chart made with looking at how people interpret the phrases "may happen" and "might happen"

  9. Day 1 of the : Part to Whole 📊

    🍩 Donut chart made with showing the percentage of people who rank different terms as more likely than 'likely'

  10. One of my aims for 2026 was to be a little bit less "all or nothing" with projects so I'm pretty proud of my contributions!

    Still learned lots of new stuff, and had plenty of time left for other things!

  11. Genuary Day 3: Fibonacci forever

    Figuring out how to programmatically create Fibonacci tiles

  12. I had a great time talking about the process of creating charts with ggplot2 at @rladiesrome tonight! 📊

    Slides and code from the session can be found here: nrennie.rbind.io/talks/rladies

  13. I'm really excited to be running this session for @rladiesrome next month! 📊

    We'll be talking about data viz design, building charts in ggplot2, and tips for how to develop your viz skills!

    Register: meetup.com/rladies-rome/events

  14. If you're interested in learning and are currently an user (or even if you're not!), then here's a little introduction to getting started! 📊

    Blog post: nrennie.rbind.io/blog/introduc

  15. It's Day 8 of the , and the prompt is "Histogram" 📊

    💻 Another + Observable combination ❤️
    📈 Kept it simple, but figured out more about small multiples (facets), sorting categories, and colour palettes in Observable today!