#ggplot2 — Public Fediverse posts

Today's artwork generated with #rstats and #ggplot2:

Today's artwork generated with #rstats and #ggplot2:

Today's artwork generated with #rstats and #ggplot2:

Today's artwork generated with #rstats and #ggplot2:

Today's artwork generated with #rstats and #ggplot2:

Here's the finished version of this #TidyTuesday chart!

📊 Sunburst chart made with #ggplot2 in #RStats
✋ Dropdown interaction added with {ggiraph} with a few little JavaScript helpers
📚 Combined with #QuartoPub

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

#DataViz

Here's the finished version of this #TidyTuesday chart!

📊 Sunburst chart made with #ggplot2 in #RStats
✋ Dropdown interaction added with {ggiraph} with a few little JavaScript helpers
📚 Combined with #QuartoPub

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

#DataViz

Here's the finished version of this #TidyTuesday chart!

📊 Sunburst chart made with #ggplot2 in #RStats
✋ Dropdown interaction added with {ggiraph} with a few little JavaScript helpers
📚 Combined with #QuartoPub

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

#DataViz

Here's the finished version of this #TidyTuesday chart!

📊 Sunburst chart made with #ggplot2 in #RStats
✋ Dropdown interaction added with {ggiraph} with a few little JavaScript helpers
📚 Combined with #QuartoPub

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

#DataViz

Here's the finished version of this #TidyTuesday chart!

📊 Sunburst chart made with #ggplot2 in #RStats
✋ Dropdown interaction added with {ggiraph} with a few little JavaScript helpers
📚 Combined with #QuartoPub

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

#DataViz

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 #TidyTuesday 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: https://nrennie.rbind.io/talks/posit-ds-lab/

#DataViz #RStats #ggplot2

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

📊 Made in #RStats with #ggplot2

Code: https://github.com/nrennie/tidytuesday/blob/main/2026/2026-05-05

#DataViz

#Day30| Uncertainties – Data Day – Global Health Data Exchange | #30DayChartChallenge | Life Expectancy at Birth — Latin America & Caribbean. Built with #RStats using #ggplot2, #patchwork, #scales, #grid, #gridExtra and #tidyr.

#Day30| Uncertainties – Data Day – Global Health Data Exchange | #30DayChartChallenge | Life Expectancy at Birth — Latin America & Caribbean. Built with #RStats using #ggplot2, #patchwork, #scales, #grid, #gridExtra and #tidyr.

#Day30| Uncertainties – Data Day – Global Health Data Exchange | #30DayChartChallenge | Life Expectancy at Birth — Latin America & Caribbean. Built with #RStats using #ggplot2, #patchwork, #scales, #grid, #gridExtra and #tidyr.

#Day30| Uncertainties – Data Day – Global Health Data Exchange | #30DayChartChallenge | Life Expectancy at Birth — Latin America & Caribbean. Built with #RStats using #ggplot2, #patchwork, #scales, #grid, #gridExtra and #tidyr.

#Day29 | Uncertainties – Monochrome | #30DayChartChallenge | . Coffee Price Forecast — Holt-Winters (HW) Built with #RStats using #forecast, #ggplot2, #dplyr, #lubridate, #scales and #tidyr.

#Day29 | Uncertainties – Monochrome | #30DayChartChallenge | . Coffee Price Forecast — Holt-Winters (HW) Built with #RStats using #forecast, #ggplot2, #dplyr, #lubridate, #scales and #tidyr.

#Day29 | Uncertainties – Monochrome | #30DayChartChallenge | . Coffee Price Forecast — Holt-Winters (HW) Built with #RStats using #forecast, #ggplot2, #dplyr, #lubridate, #scales and #tidyr.

#Day29 | Uncertainties – Monochrome | #30DayChartChallenge | . Coffee Price Forecast — Holt-Winters (HW) Built with #RStats using #forecast, #ggplot2, #dplyr, #lubridate, #scales and #tidyr.

#Day28 | Uncertainties – Modeling | #30DayChartChallenge | Barro Colorado Island — Tree Species Richness Estimation. Built with #RStats using #ggplot2, #patchwork, #MASS, #mgcv, #scales, #vegan, #gridExtra and #grid.

#Day28 | Uncertainties – Modeling | #30DayChartChallenge | Barro Colorado Island — Tree Species Richness Estimation. Built with #RStats using #ggplot2, #patchwork, #MASS, #mgcv, #scales, #vegan, #gridExtra and #grid.

#Day28 | Uncertainties – Modeling | #30DayChartChallenge | Barro Colorado Island — Tree Species Richness Estimation. Built with #RStats using #ggplot2, #patchwork, #MASS, #mgcv, #scales, #vegan, #gridExtra and #grid.

#Day28 | Uncertainties – Modeling | #30DayChartChallenge | Barro Colorado Island — Tree Species Richness Estimation. Built with #RStats using #ggplot2, #patchwork, #MASS, #mgcv, #scales, #vegan, #gridExtra and #grid.

#Day28 | Uncertainties – Modeling | #30DayChartChallenge | Barro Colorado Island — Tree Species Richness Estimation. Built with #RStats using #ggplot2, #patchwork, #MASS, #mgcv, #scales, #vegan, #gridExtra and #grid.

This week's #TidyTuesday 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 #RStats!

Code: https://github.com/nrennie/tidytuesday/tree/main/2026/2026-04-28

#DataViz #ggplot2

#Día27 | Incertidumbre – Animación | #30DayChartChallenge | Tendencia de la temperatura global. Creado con #RStats usando #dplyr, #ggplot2 y #gganimate.

#Día27 | Incertidumbre – Animación | #30DayChartChallenge | Tendencia de la temperatura global. Creado con #RStats usando #dplyr, #ggplot2 y #gganimate.

#Día27 | Incertidumbre – Animación | #30DayChartChallenge | Tendencia de la temperatura global. Creado con #RStats usando #dplyr, #ggplot2 y #gganimate.

#Día27 | Incertidumbre – Animación | #30DayChartChallenge | Tendencia de la temperatura global. Creado con #RStats usando #dplyr, #ggplot2 y #gganimate.

#Día26 | Incertidumbre – Tendencias | #30DayChartChallenge | Tendencia de la temperatura global. Creado con #RStats usando #dplyr y #ggplot2

#Día26 | Incertidumbre – Tendencias | #30DayChartChallenge | Tendencia de la temperatura global. Creado con #RStats usando #dplyr y #ggplot2

#Día26 | Incertidumbre – Tendencias | #30DayChartChallenge | Tendencia de la temperatura global. Creado con #RStats usando #dplyr y #ggplot2

#Día26 | Incertidumbre – Tendencias | #30DayChartChallenge | Tendencia de la temperatura global. Creado con #RStats usando #dplyr y #ggplot2

#Day25 | Uncertainties – Space | #30DayChartChallenge | Near-Earth Asteroid Orbit Uncertainties. Built with #RStats using #ggplot2 and #ggrepel.

#Day25 | Uncertainties – Space | #30DayChartChallenge | Near-Earth Asteroid Orbit Uncertainties. Built with #RStats using #ggplot2 and #ggrepel.

#Day25 | Uncertainties – Space | #30DayChartChallenge | Near-Earth Asteroid Orbit Uncertainties. Built with #RStats using #ggplot2 and #ggrepel.

#Day25 | Uncertainties – Space | #30DayChartChallenge | Near-Earth Asteroid Orbit Uncertainties. Built with #RStats using #ggplot2 and #ggrepel.

#Día24 | Series de Tiempo – Día Temático - South China Morning Post | #30DayChartChallenge | Producción de Café en Centroamérica: Tendencias 2021-2025. Creada usando #Rstats con #ggplot2, #patchwork, #dplyr, #grid, #gridExtra, #scales, #sf, #rnaturalearth y #rnaturalearthdata.

#Día24 | Series de Tiempo – Día Temático - South China Morning Post | #30DayChartChallenge | Producción de Café en Centroamérica: Tendencias 2021-2025. Creada usando #Rstats con #ggplot2, #patchwork, #dplyr, #grid, #gridExtra, #scales, #sf, #rnaturalearth y #rnaturalearthdata.

#Día24 | Series de Tiempo – Día Temático - South China Morning Post | #30DayChartChallenge | Producción de Café en Centroamérica: Tendencias 2021-2025. Creada usando #Rstats con #ggplot2, #patchwork, #dplyr, #grid, #gridExtra, #scales, #sf, #rnaturalearth y #rnaturalearthdata.

#Día24 | Series de Tiempo – Día Temático - South China Morning Post | #30DayChartChallenge | Producción de Café en Centroamérica: Tendencias 2021-2025. Creada usando #Rstats con #ggplot2, #patchwork, #dplyr, #grid, #gridExtra, #scales, #sf, #rnaturalearth y #rnaturalearthdata.

#Día23 | Series de Tiempo – Seasons (Temporadas) | #30DayChartChallenge | Malcolm in the Middle. Creada usando #Rstats con #ggplot2, #dplyr, #ggtext, #showtext, #patchwork, #scales y #glue.

#Día23 | Series de Tiempo – Seasons (Temporadas) | #30DayChartChallenge | Malcolm in the Middle. Creada usando #Rstats con #ggplot2, #dplyr, #ggtext, #showtext, #patchwork, #scales y #glue.

#Día23 | Series de Tiempo – Seasons (Temporadas) | #30DayChartChallenge | Malcolm in the Middle. Creada usando #Rstats con #ggplot2, #dplyr, #ggtext, #showtext, #patchwork, #scales y #glue.

#Día21 | Series de Tiempo – Histórico | #30DayChartChallenge | Precio histórico del café y cacao. Creada usando #Rstats con #quantmod, #ggplot2, #dplyr, #scales, #ggtext, #patchwork, #magick y #cowplot.

#Día21 | Series de Tiempo – Histórico | #30DayChartChallenge | Precio histórico del café y cacao. Creada usando #Rstats con #quantmod, #ggplot2, #dplyr, #scales, #ggtext, #patchwork, #magick y #cowplot.

#Día21 | Series de Tiempo – Histórico | #30DayChartChallenge | Precio histórico del café y cacao. Creada usando #Rstats con #quantmod, #ggplot2, #dplyr, #scales, #ggtext, #patchwork, #magick y #cowplot.

This week's #TidyTuesday 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: https://github.com/nrennie/tidytuesday/tree/main/2026/2026-04-21

#DataViz #RStats #ggplot2

#Día19 | Series de Tiempo – Evolución | #30DayChartChallenge | Nuevas especies de mamíferos descritas por la ciencia · 1900–2050. Creada usando #Rstats con #ggplot2, #dplyr, #scales y #patchwork.