Random game of the day:
ShowText Games (Game Creation Systems: Garry Spencer, 1996)
Download/play: https://dosgames.com/game/showtext-games/
#dosgaming #retrogaming #gcs #gamecreator #textmode #ascii
ShowText Games (Game Creation Systems: Garry Spencer, 1996)
Download/play: https://dosgames.com/game/showtext-games/
#dosgaming #retrogaming #gcs #gamecreator #textmode #ascii
December 16, 2025 at 2:00 PM
Random game of the day:
ShowText Games (Game Creation Systems: Garry Spencer, 1996)
Download/play: https://dosgames.com/game/showtext-games/
#dosgaming #retrogaming #gcs #gamecreator #textmode #ascii
ShowText Games (Game Creation Systems: Garry Spencer, 1996)
Download/play: https://dosgames.com/game/showtext-games/
#dosgaming #retrogaming #gcs #gamecreator #textmode #ascii
I still need to write a modern pdf device so that people stop using showtext
January 29, 2025 at 1:14 PM
I still need to write a modern pdf device so that people stop using showtext
I had great luck with showtext cran.rstudio.com/web/packages...
showtext: Using Fonts More Easily in R Graphs
cran.rstudio.com
December 19, 2024 at 10:33 PM
I had great luck with showtext cran.rstudio.com/web/packages...
#Día23 | Series de Tiempo – Seasons (Temporadas) | #30DayChartChallenge | Malcolm in the Middle. Creada usando #Rstats con #ggplot2, #dplyr, #ggtext, #showtext, #patchwork, #scales y #glue.
April 23, 2026 at 4:28 AM
#Día23 | Series de Tiempo – Seasons (Temporadas) | #30DayChartChallenge | Malcolm in the Middle. Creada usando #Rstats con #ggplot2, #dplyr, #ggtext, #showtext, #patchwork, #scales y #glue.
Día 14 – OpenStreetMap #30DayMapChallenge San Pedro Sula, Honduras. Herramientas: R usando los paquetes: sf, dplyr, ggplot2, osmdata, showtext y ggtext
November 14, 2025 at 3:17 AM
Día 14 – OpenStreetMap #30DayMapChallenge San Pedro Sula, Honduras. Herramientas: R usando los paquetes: sf, dplyr, ggplot2, osmdata, showtext y ggtext
#Day8 | Distributions – Circular | #30DayChartChallenge | Elevation distribution in the most circular department of Honduras. Built with #RStats using #sf, #raster, #exactextractr, #ggplot2, #ggnewscale, #ggtext, #dplyr, #terra, #showtext, #scales, #patchwork and #ggspatial.
April 8, 2026 at 4:12 AM
#Day8 | Distributions – Circular | #30DayChartChallenge | Elevation distribution in the most circular department of Honduras. Built with #RStats using #sf, #raster, #exactextractr, #ggplot2, #ggnewscale, #ggtext, #dplyr, #terra, #showtext, #scales, #patchwork and #ggspatial.
Day 15 | Relationships – Complicated | #30DayChartChallenge. Visualization made with R using #tidyverse, #ggtext and #showtext . | Source: google trends trends.google.com/trends/explo...
April 15, 2025 at 12:45 AM
Day 15 | Relationships – Complicated | #30DayChartChallenge. Visualization made with R using #tidyverse, #ggtext and #showtext . | Source: google trends trends.google.com/trends/explo...
Day 19 – Projections #30DayMapChallenge. The Peirce Octahedral Projection. Tools: R using the packages sf, showtext, ggplot2 and dplyr.
November 18, 2025 at 11:16 PM
Day 19 – Projections #30DayMapChallenge. The Peirce Octahedral Projection. Tools: R using the packages sf, showtext, ggplot2 and dplyr.
Day 2 | Comparisons – Slope | #30DayChartChallenge. Analysis develop with R using #ggplot2, #tidyverse, #ggpmisc, , #terra, #ggtext, #showtext y #sf. Data source: Sentinel-2 MSI (2019-2024)
April 2, 2025 at 2:48 PM
Day 2 | Comparisons – Slope | #30DayChartChallenge. Analysis develop with R using #ggplot2, #tidyverse, #ggpmisc, , #terra, #ggtext, #showtext y #sf. Data source: Sentinel-2 MSI (2019-2024)
So we searched by the text IDs to find where they were used. This led us to the actual dialogue scripts for the goron, and we gave those a read too. It's amazing how much this looks the same as writing a simple cutscene with Lua coroutines or something '^^
January 20, 2026 at 5:32 PM
So we searched by the text IDs to find where they were used. This led us to the actual dialogue scripts for the goron, and we gave those a read too. It's amazing how much this looks the same as writing a simple cutscene with Lua coroutines or something '^^
Día 1 | Comparaciones – Fracciones | #30DayChartChallenge. La visualización fue creada usando R basado en los paquetes #ggplot2, #dplyr, #scales, #ggtext, #patchwork, #showtext, #sf, #rnaturalearth, #rnaturalearthdata y #ggrepel. Fuente HDX - data.humdata.org/dataset/cod-...
April 1, 2025 at 12:09 PM
Día 1 | Comparaciones – Fracciones | #30DayChartChallenge. La visualización fue creada usando R basado en los paquetes #ggplot2, #dplyr, #scales, #ggtext, #patchwork, #showtext, #sf, #rnaturalearth, #rnaturalearthdata y #ggrepel. Fuente HDX - data.humdata.org/dataset/cod-...
Day 12 | Distributions – Data Day – Data.gov | #30DayChartChallenge. Visualization made with R using #sf, #tigris, #ggthemes, #patchwork, #tidyverse, #ggtext and #showtext . | Source: data.gov - catalog.data.gov/dataset/biod...
April 15, 2025 at 3:21 AM
Day 12 | Distributions – Data Day – Data.gov | #30DayChartChallenge. Visualization made with R using #sf, #tigris, #ggthemes, #patchwork, #tidyverse, #ggtext and #showtext . | Source: data.gov - catalog.data.gov/dataset/biod...
Day 24 | Timeseries – Data Day – WHO | #30DayChartChallenge. Visualization made with R using #ggplot2, #dplyr, #showtext, #patchwork, #ggrepel, #glue, #ggtext, #sf and #rnaturalearth. | Source: WHO.
April 24, 2025 at 12:21 PM
Day 24 | Timeseries – Data Day – WHO | #30DayChartChallenge. Visualization made with R using #ggplot2, #dplyr, #showtext, #patchwork, #ggrepel, #glue, #ggtext, #sf and #rnaturalearth. | Source: WHO.
Day 2 of the #30DayChartChallenge, Pictogram
Made with #rstats and #ggplot2. The data is from duo.nl/open_onderwi..., p 154. I used `{showtext}` so I could have the cap via unicode \uf19d in a `geom_text()`.
Made with #rstats and #ggplot2. The data is from duo.nl/open_onderwi..., p 154. I used `{showtext}` so I could have the cap via unicode \uf19d in a `geom_text()`.
April 2, 2026 at 6:36 AM
Day 2 of the #30DayChartChallenge, Pictogram
Made with #rstats and #ggplot2. The data is from duo.nl/open_onderwi..., p 154. I used `{showtext}` so I could have the cap via unicode \uf19d in a `geom_text()`.
Made with #rstats and #ggplot2. The data is from duo.nl/open_onderwi..., p 154. I used `{showtext}` so I could have the cap via unicode \uf19d in a `geom_text()`.
Día 1 | Comparaciones – Part-to-Whole | #30DayChartChallenge. Distribución del área construida en Centroamérica según ESA WorldCover, donde el tamaño refleja los km² de suelo urbanizado por país. El gráfico fue creada usando R con los paquetes #ggplot2, #treemapify, #scales y #showtext.
April 1, 2026 at 2:22 AM
Día 1 | Comparaciones – Part-to-Whole | #30DayChartChallenge. Distribución del área construida en Centroamérica según ESA WorldCover, donde el tamaño refleja los km² de suelo urbanizado por país. El gráfico fue creada usando R con los paquetes #ggplot2, #treemapify, #scales y #showtext.
Day 23 | Timeseries – Log Scale | #30DayChartChallenge. Visualization made with R using #ggplot2, #dplyr, #showtext, #patchwork, #janitor and #scales. | Source: Our World in Data
April 23, 2025 at 9:15 AM
Day 23 | Timeseries – Log Scale | #30DayChartChallenge. Visualization made with R using #ggplot2, #dplyr, #showtext, #patchwork, #janitor and #scales. | Source: Our World in Data
Day 6 | Comparisons – Florence Nightingale (theme day) | #30DayChartChallenge. Visualization made with R using #tidyverse, #ggtext and #showtext. Data source: HDX - data.humdata.org/dataset/cod-....
April 6, 2025 at 3:03 AM
Day 6 | Comparisons – Florence Nightingale (theme day) | #30DayChartChallenge. Visualization made with R using #tidyverse, #ggtext and #showtext. Data source: HDX - data.humdata.org/dataset/cod-....
Día 22 – 2 Colores #30DayMapChallenge. Bosques Nublados de Centroamérica. Herramienta: R usando los paquetes rnaturalearth, rnaturalearthdata, sf, raster, ggplot2, dplyr, patchwork, grid y showtext
November 22, 2024 at 2:44 PM
Día 22 – 2 Colores #30DayMapChallenge. Bosques Nublados de Centroamérica. Herramienta: R usando los paquetes rnaturalearth, rnaturalearthdata, sf, raster, ggplot2, dplyr, patchwork, grid y showtext
Día 3 | Comparaciones – Círculos | #30DayChartChallenge. La visualización fue creada usando R basado en los paquetes #sf, #terra, #tidyterra, #extarctexactr, #ggplot2, #dplyr, #scales, #ggnewscale ,#ggtext, #patchwork y #showtext. Fuente SRTM y SIGMOF ICF - geoportal.icf.gob.hn
April 3, 2025 at 3:42 PM
Día 3 | Comparaciones – Círculos | #30DayChartChallenge. La visualización fue creada usando R basado en los paquetes #sf, #terra, #tidyterra, #extarctexactr, #ggplot2, #dplyr, #scales, #ggnewscale ,#ggtext, #patchwork y #showtext. Fuente SRTM y SIGMOF ICF - geoportal.icf.gob.hn
Día 8 – Urbano #30DayMapChallenge Urbes más importantes de América Central. Fuente: Open Street Maps. Herramienta: R usando los paquetes sf, ggplot2, osmdata, dplyr, showtext y ggtext
November 8, 2025 at 8:55 PM
Día 8 – Urbano #30DayMapChallenge Urbes más importantes de América Central. Fuente: Open Street Maps. Herramienta: R usando los paquetes sf, ggplot2, osmdata, dplyr, showtext y ggtext
Día 1 – Puntos #30DayMapChallenge Puntos de ocurrencia de Chimancé (Pan troglodytes) según datos de GBIF. Herramientas: R con los paquetes rgbi, rnaturalearth rnaturalearthdata, sf, ggplot2, dplyr, ggspatial, showtext y grid
November 1, 2025 at 10:55 PM
Día 1 – Puntos #30DayMapChallenge Puntos de ocurrencia de Chimancé (Pan troglodytes) según datos de GBIF. Herramientas: R con los paquetes rgbi, rnaturalearth rnaturalearthdata, sf, ggplot2, dplyr, ggspatial, showtext y grid
Day 22 | Timeseries – Stars | #30DayChartChallenge. Visualization made with R using #ggplot2, #dplyr, #showtext, #lubridate and #cranlogs. | Source: cranlogs R Package.
April 22, 2025 at 9:36 AM
Day 22 | Timeseries – Stars | #30DayChartChallenge. Visualization made with R using #ggplot2, #dplyr, #showtext, #lubridate and #cranlogs. | Source: cranlogs R Package.