#TidyTuesday Semana 12. El dataset de la semana contiene información sobre la venta de los comics de los X-men entre 1960 y 1992. Pensando en ideas para el gráfico, me imaginé la presentación de esta información en una especie de carnet para la escuela de Charles Xavier.

#TidyTuesday USA took the lead in 1960s, but USSR (later Russia) launched much more objects into outer space till 2010s, when @SpaceX catapulted USA back into the top position by a huge margin. Data: @OurWorldInData @UNOOSA Code: tinyurl.com/tidy-unoosa Tools: #ggplot2 #gganimate…

Here is a gif of all of the iterations I went through while creating last week's #TidyTuesday. Learning a new package on the fly meant a lot of trial and error! #Rstats #R4DS #DataViz

for #tidytuesday 2024§15, i forked Nikos Pechlivanis' (@npechl) visualisation; while twisting it to my taste, i learned a thing or two about spatial data. op: https://t.co/vVu8WhSegm; fork: github.com/federicoalegri…

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#TidyTuesday | 2024 | Week 16 | Shiny A somewhat more artistic view. Code: github.com/depauladiasleo… Comments and suggestions are welcome! #dataviz

#TidyTuesday | 2024 | Week 15 | Eclipse Code: github.com/depauladiasleo… Comments and suggestions are welcome! #dataviz

Shiny packages dependencies for this week's #TidyTuesday Code: github.com/gkaramanis/tid… #RStats #dataviz #ggplot2

For this week's #TidyTuesday, I made one of my first network graphs using the {ggraph} package. #RStats #R4DS #DataViz

The recent #TidyTuesday turned into more a computer science challenge, involving recursive functions, than the usual data science challenge. jonminton.github.io/jon-blog/posts… (Suggestions for getting a fuller trace very welcome!)

#TidyTuesday? Lmao

Nicola Rennie | @[email protected] @nrennie35

2 weeks ago

#TidyTuesday? Lmao

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#TidyTuesday #shinyconf2024 Paquetes {shiny}, que dependen de {ggplot2} 🔗github.com/vhgauto/tidytu… 📈raw.githubusercontent.com/vhgauto/tidytu… #rstats #dataviz #Datavisualization #ggplot2 #shiny

#TidyTuesday #ShinyConf2024 Linkages (imports) between packages of the Top 20 (by number of packages) R packages' maintaining authors. Code🔗tinyurl.com/r-pkg-auth Data: @ShinyConf, @JonTheGeek, @tracykteal Tools #rstats, #ggplot2, #tidygraph & #ggraph by @thomasp85; #PNWColors…

#TidyTuesday @ShinyConf How are packages linked to @posit_pbc’s {shiny}? For linked packages, the most popular imports are #dplyr & #ggplot2. Most common suggestions are #testthat, @rmarkdown and #knitr. Data: #ShinyConf2024, @tracykteal Teal & @JonTheGeek…

My submission for #TidyTuesday, Week 16 on Shiny Packages. I explore required R versions. Code: github.com/mitsuoxv/tidyt…

for #tidytuesday 2024§14, i reinterpreted the following graph presented by W. E. B. Du Bois in 1900: loc.gov/resource/ppmsc… github.com/federicoalegri…

My contribution for this week's #TidyTuesday challenge on 2024 US Solar Eclipses R code: github.com/npechl/TidyTue… #rstats #dataviz