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#30daychartchallenge — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #30daychartchallenge, aggregated by home.social.

  1. #30DayChartChallenge Day 10 | Pop Culture. Top 20 #books of 2025 by genre & publish date, according to Readers’ favourites on Goodreads. 📚📖

    Most romance novels were published in spring/summer. Nonfiction books have the longest book titles and Fantasy books lead in terms of total pages.

    Tried to make it look like a book shelf, not sure I suceeded 😅

    #Dataviz made with #Svelte and #D3

  2. Day 10 | Pop Culture. Top 20 of 2025 by genre & publish date, according to Readers’ favourites on Goodreads. 📚📖

    Most romance novels were published in spring/summer. Nonfiction books have the longest book titles and Fantasy books lead in terms of total pages.

    Tried to make it look like a book shelf, not sure I suceeded 😅

    made with and

  3. #30DayChartChallenge Day 10 | Pop Culture. Top 20 #books of 2025 by genre & publish date, according to Readers’ favourites on Goodreads. 📚📖

    Most romance novels were published in spring/summer. Nonfiction books have the longest book titles and Fantasy books lead in terms of total pages.

    Tried to make it look like a book shelf, not sure I suceeded 😅

    #Dataviz made with #Svelte and #D3

  4. #30DayChartChallenge Day 10 | Pop Culture. Top 20 #books of 2025 by genre & publish date, according to Readers’ favourites on Goodreads. 📚📖

    Most romance novels were published in spring/summer. Nonfiction books have the longest book titles and Fantasy books lead in terms of total pages.

    Tried to make it look like a book shelf, not sure I suceeded 😅

    #Dataviz made with #Svelte and #D3

  5. #30DayChartChallenge Day 10 | Pop Culture. Top 20 #books of 2025 by genre & publish date, according to Readers’ favourites on Goodreads. 📚📖

    Most romance novels were published in spring/summer. Nonfiction books have the longest book titles and Fantasy books lead in terms of total pages.

    Tried to make it look like a book shelf, not sure I suceeded 😅

    #Dataviz made with #Svelte and #D3

  6. #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.

  7. | Uncertainties – Data Day – Global Health Data Exchange | | Life Expectancy at Birth — Latin America & Caribbean. Built with using , , , , and .

  8. #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.

  9. #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.

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

  11. | Uncertainties – Monochrome | | . Coffee Price Forecast — Holt-Winters (HW) Built with using , , , , and .

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

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

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

  15. | Uncertainties – Modeling | | Barro Colorado Island — Tree Species Richness Estimation. Built with using , , , , , , and .

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

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

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

  19. Fun #dataviz for the #30DayChartChallenge Day8 Circular 👽🛸 UFO sightings around the world reported to the National UFO Reporting Center between 1926 & 2013 (total >80,000).

    Reports increased since the 1990s, maybe internet made reporting easier or more happening in space? (note: that last week with fewest dots is when the year has 53 weeks which doesnt happen a lot)

    Data via #TidyTuesday

  20. Fun for the Day8 Circular 👽🛸 UFO sightings around the world reported to the National UFO Reporting Center between 1926 & 2013 (total >80,000).

    Reports increased since the 1990s, maybe internet made reporting easier or more happening in space? (note: that last week with fewest dots is when the year has 53 weeks which doesnt happen a lot)

    Data via

  21. Fun #dataviz for the #30DayChartChallenge Day8 Circular 👽🛸 UFO sightings around the world reported to the National UFO Reporting Center between 1926 & 2013 (total >80,000).

    Reports increased since the 1990s, maybe internet made reporting easier or more happening in space? (note: that last week with fewest dots is when the year has 53 weeks which doesnt happen a lot)

    Data via #TidyTuesday

  22. Fun #dataviz for the #30DayChartChallenge Day8 Circular 👽🛸 UFO sightings around the world reported to the National UFO Reporting Center between 1926 & 2013 (total >80,000).

    Reports increased since the 1990s, maybe internet made reporting easier or more happening in space? (note: that last week with fewest dots is when the year has 53 weeks which doesnt happen a lot)

    Data via #TidyTuesday

  23. Fun #dataviz for the #30DayChartChallenge Day8 Circular 👽🛸 UFO sightings around the world reported to the National UFO Reporting Center between 1926 & 2013 (total >80,000).

    Reports increased since the 1990s, maybe internet made reporting easier or more happening in space? (note: that last week with fewest dots is when the year has 53 weeks which doesnt happen a lot)

    Data via #TidyTuesday

  24. | Incertidumbre – Animación | | Tendencia de la temperatura global. Creado con usando , y .

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

  26. | Incertidumbre – Tendencias | | Tendencia de la temperatura global. Creado con usando y

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

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

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

  30. | Uncertainties – Space | | Near-Earth Asteroid Orbit Uncertainties. Built with using and .

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

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

  33. Day 26 of the #30DayChartChallenge: Trend 📊 (a couple of days early)

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

    #30DayChartChallenge2026 #Day26

  34. 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}!

  35. Day 26 of the #30DayChartChallenge: Trend 📊 (a couple of days early)

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

    #30DayChartChallenge2026 #Day26

  36. Day 26 of the #30DayChartChallenge: Trend 📊 (a couple of days early)

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

    #30DayChartChallenge2026 #Day26

  37. Day 26 of the #30DayChartChallenge: Trend 📊 (a couple of days early)

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

    #30DayChartChallenge2026 #Day26

  38. #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.

  39. | Series de Tiempo – Día Temático - South China Morning Post | | Producción de Café en Centroamérica: Tendencias 2021-2025. Creada usando con , , , , , , , y .

  40. #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.

  41. #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.

  42. | Series de Tiempo – Seasons (Temporadas) | | Malcolm in the Middle. Creada usando con , , , , , y .

  43. #Día22 | Series de Tiempo – Nueva Herramienta | #30DayChartChallenge | Precio histórico del aceite de palma. Creada usando #Python con #io, #pandas, #numpy y #matplotlib

  44. | Series de Tiempo – Nueva Herramienta | | Precio histórico del aceite de palma. Creada usando con , , y

  45. #Día22 | Series de Tiempo – Nueva Herramienta | #30DayChartChallenge | Precio histórico del aceite de palma. Creada usando #Python con #io, #pandas, #numpy y #matplotlib