{ggflags} + {countrycode}

#Día 2 | Comparaciones – Pictograma | #30DayChartChallenge. Centroamérica suma más de 51 millones de habitantes. El gráfico fue creada usando R con #ggplot2, #dplyr, #tidyr, #scales, #ggflags, #sf, #rnaturalearth, #rnaturalearthdata, #patchwork..

catching up on old #tidytuesday datasets, starting to work with this dataset on democracy around the world, filtered out only countries that sometimes do and do not have fair and free elections and did a draft datavis using the ggflags package (happy Jan. 6th, all!) #rstats

#Día15 | Relaciones – Correlación | #30DayChartChallenge | Población vs Área Urbana en Centroamérica. Creada usando #Rstats con #ggplot2, #ggrepel, #scales, #showtext y #ggflags.

#Día16 | Relaciones – Causalidad | #30DayChartChallenge | ¿Más personas = más ciudad?. Creada usando #Rstats con #ggplot2, # patchwork, #grid, #ggrepel, #scales, #showtext y #ggflags.

#TidyTuesday (2025 W36)

The Henley Passport index is interesting because it allows ties, which was a nice challenge for a ranking plot using the ggflags package to see which passports allow one to travel to the most countries.

#rstats

Code: github.com/drjohnrussel...

With the ggflags-package i R.

The #rstat {ggflags} package, perhaps?
This one is just a demo

Using gganimate and ggflags to look at democratic progress

"Loading and Exploring a Tidy Tuesday Dataset
One of my New Year’s resolutions was to become less of a lurker and more of a doer within th..."

https://www.r-bloggers.com/2025/01/using-gganimate-and-ggflags-to-look-at-democratic-progress-2/

Using gganimate and ggflags to look at democratic progress

"Loading and Exploring a Tidy Tuesday Dataset
One of my New Year’s resolutions was to become less of a lurker and more of a doer within the ..."

https://www.r-bloggers.com/2025/01/using-gganimate-and-ggflags-to-look-at-democratic-progress/