Jeremy Allen<p>It's not going to accept it, but in a good world, it would.
<a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23dplyr" target="_blank">#dplyr</a> <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23RStats" target="_blank">#RStats</a></p>
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#dplyr
2 posts · 2 participants · 0 posts today
danzin<p>Na <a href="https://mastodon.social/tags/PythonCerrado2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PythonCerrado2025</span></a>, tivemos ontem um excelente tutorial do Lucas Marcondes Pavelski <a href="https://github.com/lucasmpavelski" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/lucasmpavelski</span><span class="invisible"></span></a>.</p><p>Aprendemos sobre <a href="https://mastodon.social/tags/R" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>R</span></a>, <a href="https://mastodon.social/tags/tidyverse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidyverse</span></a>, <a href="https://mastodon.social/tags/reticulate" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reticulate</span></a>, várias ferramentas essenciais como <a href="https://mastodon.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggplot2</span></a> e <a href="https://mastodon.social/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a>, vendo na prática como aplicá-las. Foco na ponte <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <-> R.</p><p>Tudo novidade pra mim, vieram várias ideias interessantes de análises e plots.</p><p><a href="https://mastodon.social/tags/PythonCerrado" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PythonCerrado</span></a></p>
Dr. Tim Schatto-Eckrodt<p>I recently saw a kind of stacked donut/pie chart that visualized nested count data (e.g. a sample description with two relevant categories, like favorite ice cream and gender) and wondered how I'd do that in <a href="https://social.tchncs.de/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a>.</p><p>So, if you ever want to make a plot like this, here's the <a href="https://social.tchncs.de/tags/ggplot2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggplot2</span></a> and <a href="https://social.tchncs.de/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a> code: <a href="https://gist.github.com/Kudusch/577b6f07c686a64a3aace685fd9f3bee" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">gist.github.com/Kudusch/577b6f</span><span class="invisible">07c686a64a3aace685fd9f3bee</span></a></p><p>This wouldn't work well with too many categories and pie charts in general aren't optimal, but for this specific kind/shape of data, I think it works well enough.</p>
Steven Sanderson<p>Last one for today, I just added random_hypergeometric_walk() to the <a href="https://rstats.me/tags/dev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dev</span></a> version of my <a href="https://rstats.me/tags/R" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>R</span></a> <a href="https://rstats.me/tags/package" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>package</span></a> <a href="https://rstats.me/tags/RandomWalker" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RandomWalker</span></a> </p><p>this package relies on <a href="https://rstats.me/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a> <a href="https://rstats.me/tags/ggplot2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggplot2</span></a> <a href="https://rstats.me/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://rstats.me/tags/purrr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>purrr</span></a> </p><p><a href="https://rstats.me/tags/R" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>R</span></a> <a href="https://rstats.me/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a> <a href="https://rstats.me/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a> <a href="https://rstats.me/tags/Coding" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Coding</span></a></p>
Dr Micha Campbell<p>Hey <a href="https://fediscience.org/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a> hivemind, can someone sanity check me?</p><p>for some reason filtering with a value assigned to 'x' isn't working here (I was trying to make a dummy dataset for an lapply + ggplot problem I'm having, and instrad have bumped into this weird inconcistency).</p><p>df <- data.frame(name = c("delta^13*C", "delta^13*C", "delta^18*O", "delta^18*O"),<br> x = c(1,1, 2, 2),<br> y = c(1,3, 5, 4))</p><p>x <- "delta^13*C"</p><p> df %>% <br> filter(name == x)<br> <br> # [1] name x y <br> # <0 rows> (or 0-length row.names)<br> <br> df %>% <br> filter(name == "delta^13*C")</p><p> # name x y<br> # delta^13*C 1 1<br> # delta^13*C 1 3</p><p><a href="https://fediscience.org/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a></p>
Steven P. Sanderson II, MPH<p>I've talked about creating data.frames and tibbles before, but it is an important topic so I have covered it again. This time specifically from the perspective of creating them from vectors.
Post: <a href="https://www.spsanderson.com/steveondata/posts/2025-06-09/" rel="nofollow noopener" target="_blank">www.spsanderson.com/steveondata/...</a>
<a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23R" target="_blank">#R</a> <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23RStats" target="_blank">#RStats</a> <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23tibble" target="_blank">#tibble</a> <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23dplyr" target="_blank">#dplyr</a> <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23tidyverse" target="_blank">#tidyverse</a> <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23dataframe" target="_blank">#dataframe</a> <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23baseR" target="_blank">#baseR</a> <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23blog" target="_blank">#blog</a></p>
Steven Sanderson<p>I've talked about creating data.frames and tibbles before, but it is an important topic so I have covered it again. This time specifically from the perspective of creating them from vectors.</p><p>Post: <a href="https://www.spsanderson.com/steveondata/posts/2025-06-09/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">spsanderson.com/steveondata/po</span><span class="invisible">sts/2025-06-09/</span></a></p><p><a href="https://rstats.me/tags/R" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>R</span></a> <a href="https://rstats.me/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a> <a href="https://rstats.me/tags/tibble" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tibble</span></a> <a href="https://rstats.me/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a> <a href="https://rstats.me/tags/tidyverse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidyverse</span></a> <a href="https://rstats.me/tags/dataframe" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataframe</span></a> <a href="https://rstats.me/tags/baseR" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>baseR</span></a> <a href="https://rstats.me/tags/blog" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>blog</span></a> <a href="https://rstats.me/tags/Technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Technology</span></a></p>
Steven P. Sanderson II, MPH<p>I've talked about creating data.frames and tibbles before, but it is an important topic so I have covered it again. This time specifically from the perspective of creating them from vectors.</p><p>Post: <a href="https://www.spsanderson.com/steveondata/posts/2025-06-09/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">spsanderson.com/steveondata/po</span><span class="invisible">sts/2025-06-09/</span></a></p><p><a href="https://mstdn.social/tags/R" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>R</span></a> <a href="https://mstdn.social/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a> <a href="https://mstdn.social/tags/tibble" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tibble</span></a> <a href="https://mstdn.social/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a> <a href="https://mstdn.social/tags/tidyverse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidyverse</span></a> <a href="https://mstdn.social/tags/dataframe" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataframe</span></a> <a href="https://mstdn.social/tags/baseR" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>baseR</span></a> <a href="https://mstdn.social/tags/blog" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>blog</span></a> <a href="https://mstdn.social/tags/Technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Technology</span></a></p>
ubuntu_touch<p># objetivo: Simulación de 100 agentes durante 30 días<br># - Cada agente puede estar en 3 estados<br># - Cada estado tiene diferentes atributos</p><p># salidas : Tablas de frecuencia de frecuencias de 3 vias:<br># - Combinación de estados de 100 agentes cada dia</p><p><a href="https://mstdn.social/tags/Rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Rstats</span></a> <a href="https://mstdn.social/tags/janitor" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>janitor</span></a> <a href="https://mstdn.social/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a> <a href="https://mstdn.social/tags/Flisol" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Flisol</span></a> <a href="https://mstdn.social/tags/SoftwareLibre" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SoftwareLibre</span></a></p>
Luís de Araújo<p>I remember someone mentioning in this network a <a href="https://mastodon.social/tags/R" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>R</span></a> package that generates flowcharts from <a href="https://mastodon.social/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a> filter/select statements (in chunks) with observations that were kept and removed. I lost this link, I wonder if I am making this memory, or it actually exists.</p>
Hondunauta<p>Día 8 | Distribuciones – Histograma | <a href="https://fosstodon.org/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>30DayChartChallenge</span></a>. | Visualización hecha usando R con los paquetes <a href="https://fosstodon.org/tags/ggplot2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggplot2</span></a>, <a href="https://fosstodon.org/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a>, <a href="https://fosstodon.org/tags/patchwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>patchwork</span></a>, <a href="https://fosstodon.org/tags/sf" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sf</span></a>, <a href="https://fosstodon.org/tags/ggtext" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggtext</span></a>, <a href="https://fosstodon.org/tags/showtext" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>showtext</span></a>, <a href="https://fosstodon.org/tags/raster" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>raster</span></a>, <a href="https://fosstodon.org/tags/exactextractr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>exactextractr</span></a>, <a href="https://fosstodon.org/tags/ggscale" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggscale</span></a> y <a href="https://fosstodon.org/tags/scales" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scales</span></a>.</p>
Hondunauta<p>Day 28 | Uncertainties – Inclusion | <a href="https://fosstodon.org/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>30DayChartChallenge</span></a>. Visualization made with R using <a href="https://fosstodon.org/tags/ggplot2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggplot2</span></a>, <a href="https://fosstodon.org/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a>, <a href="https://fosstodon.org/tags/ggtext" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggtext</span></a> and <a href="https://fosstodon.org/tags/showtext" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>showtext</span></a> | Source: Google Trends.</p>
Hondunauta<p>Day 27 | Uncertainties – Noise | <a href="https://fosstodon.org/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>30DayChartChallenge</span></a>. Visualization made with R using <a href="https://fosstodon.org/tags/ggplot2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggplot2</span></a>, <a href="https://fosstodon.org/tags/showtext" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>showtext</span></a> and <a href="https://fosstodon.org/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a> | Source: USA - National Institute for Occupational Safety and Health.</p>
Hondunauta<p>Día 9 | Distribuciones – Divergente | <a href="https://fosstodon.org/tags/30DatChartChallenge" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>30DatChartChallenge</span></a>. | Visualización hecha usando R con los paquetes <a href="https://fosstodon.org/tags/ggplot2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggplot2</span></a>, <a href="https://fosstodon.org/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a>, <a href="https://fosstodon.org/tags/patchwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>patchwork</span></a>, <a href="https://fosstodon.org/tags/sf" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sf</span></a>, <a href="https://fosstodon.org/tags/ggtext" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggtext</span></a>, <a href="https://fosstodon.org/tags/showtext" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>showtext</span></a>, <a href="https://fosstodon.org/tags/raster" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>raster</span></a>, <a href="https://fosstodon.org/tags/exactextractr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>exactextractr</span></a> and <a href="https://fosstodon.org/tags/SPEI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SPEI</span></a>.</p>
Hondunauta<p>Día 25 | Incertidumbre – Riesgo | <a href="https://fosstodon.org/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>30DayChartChallenge</span></a> | Visualización hecha usando R a partir de los paquetes <a href="https://fosstodon.org/tags/ggplot2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggplot2</span></a>, <a href="https://fosstodon.org/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a>, <a href="https://fosstodon.org/tags/scales" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scales</span></a>, <a href="https://fosstodon.org/tags/showtext" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>showtext</span></a> y <a href="https://fosstodon.org/tags/sysfonts" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sysfonts</span></a>. | Fuente: Gannet – Virtual Assitant (app.gannet.ai) desarrollado por Data Friendly Space. La respuesta fue generada usando tres fuentes – 1) State of the Climate in Latin America and the Caribbean, 2) Latin America and the Caribbean Regional Overview of Food Security and Nutrition y 3) Anticipatory Action and Response Plan.</p>
Hondunauta<p>Day 24 | Timeseries – Data Day – WHO | <a href="https://fosstodon.org/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>30DayChartChallenge</span></a>. Visualization made with R using <a href="https://fosstodon.org/tags/ggplot2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggplot2</span></a>, <a href="https://fosstodon.org/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a>, <a href="https://fosstodon.org/tags/showtext" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>showtext</span></a>, <a href="https://fosstodon.org/tags/patchwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>patchwork</span></a>, <a href="https://fosstodon.org/tags/ggrepel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggrepel</span></a>, <a href="https://fosstodon.org/tags/glue" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>glue</span></a>, <a href="https://fosstodon.org/tags/ggtext" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggtext</span></a>, <a href="https://fosstodon.org/tags/sf" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sf</span></a> and <a href="https://fosstodon.org/tags/rnaturalearth" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rnaturalearth</span></a>. | Source: WHO.</p>
Hondunauta<p>Day 19 | Timeseries – Smooth | <a href="https://fosstodon.org/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>30DayChartChallenge</span></a>. Visualization made with R using <a href="https://fosstodon.org/tags/ggplot2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggplot2</span></a>, <a href="https://fosstodon.org/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a>, <a href="https://fosstodon.org/tags/ggtext" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggtext</span></a>, <a href="https://fosstodon.org/tags/showtext" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>showtext</span></a>, <a href="https://fosstodon.org/tags/patchwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>patchwork</span></a>, <a href="https://fosstodon.org/tags/sf" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sf</span></a> and <a href="https://fosstodon.org/tags/rnaturalearth" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rnaturalearth</span></a>. | Source: Google Trends</p>
Hondunauta<p>Day 23 | Timeseries – Log Scale | <a href="https://fosstodon.org/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>30DayChartChallenge</span></a>. Visualization made with R using <a href="https://fosstodon.org/tags/ggplot2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggplot2</span></a>, <a href="https://fosstodon.org/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a>, <a href="https://fosstodon.org/tags/showtext" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>showtext</span></a>, <a href="https://fosstodon.org/tags/patchwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>patchwork</span></a>, <a href="https://fosstodon.org/tags/janitor" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>janitor</span></a> and <a href="https://fosstodon.org/tags/scales" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scales</span></a>. | Source: Our World in Data</p>
Hondunauta<p>Day 22 | Timeseries – Stars | <a href="https://fosstodon.org/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>30DayChartChallenge</span></a>. Visualization made with R using <a href="https://fosstodon.org/tags/ggplot2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggplot2</span></a>, <a href="https://fosstodon.org/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a>, <a href="https://fosstodon.org/tags/showtext" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>showtext</span></a>, <a href="https://fosstodon.org/tags/lubridate" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>lubridate</span></a> and <a href="https://fosstodon.org/tags/cranlogs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cranlogs</span></a>. | Source: cranlogs R Package.</p>
Hondunauta<p>Day 21 | Timeseries – Fossils| <a href="https://fosstodon.org/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>30DayChartChallenge</span></a>. Visualization made with R using <a href="https://fosstodon.org/tags/ggplot2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggplot2</span></a>, <a href="https://fosstodon.org/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a>, <a href="https://fosstodon.org/tags/showtext" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>showtext</span></a>, <a href="https://fosstodon.org/tags/ggrepel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggrepel</span></a> and <a href="https://fosstodon.org/tags/janitor" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>janitor</span></a>. | Source: Our World in Data</p>
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