Víctor Gauto
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  1. 2025
  2. Semana 17

Semana 17

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geom_marquee
Autor

Víctor Gauto

Fecha de publicación

29 de abril de 2025

Palabras clave de las conferencias del evento userR! 2025.

Semana 17, 2025

Paquetes

Ocultar código
library(glue)
library(ggtext)
library(showtext)
library(marquee)
library(tidyverse)

Estilos

Colores.

Ocultar código
c1 <- "dodgerblue4"
c2 <- "lightblue1"
c3 <- "navyblue"
c4 <- "darkslateblue"

Fuentes: Ubuntu y JetBrains Mono.

Ocultar código
font_add(
  family = "ubuntu",
  regular = "././fuente/Ubuntu-Regular.ttf",
  bold = "././fuente/Ubuntu-Bold.ttf",
  italic = "././fuente/Ubuntu-Italic.ttf"
)

font_add(
  family = "jet",
  regular = "././fuente/JetBrainsMonoNLNerdFontMono-Regular.ttf"
)

showtext_auto()
showtext_opts(dpi = 300)

Epígrafe

Ocultar código
fuente <- glue(
    "Datos: <span style='color:{c1};'><span style='font-family:jet;'>",
    "{{<b>tidytuesdayR</b>}}</span> semana 17, ",
    "<b>useR! 2025</b>.</span>"
)

autor <- glue("<span style='color:{c1};'>**Víctor Gauto**</span>")
icon_twitter <- glue("<span style='font-family:jet;'>&#xf099;</span>")
icon_instagram <- glue("<span style='font-family:jet;'>&#xf16d;</span>")
icon_github <- glue("<span style='font-family:jet;'>&#xf09b;</span>")
icon_mastodon <- glue("<span style='font-family:jet;'>&#xf0ad1;</span>")
icon_bsky <- glue("<span style='font-family:jet;'>&#xe28e;</span>")
usuario <- glue("<span style='color:{c1};'>**vhgauto**</span>")
sep <- glue("**|**")

mi_caption <- glue(
    "{fuente}<br>{autor} {sep} {icon_github} {icon_twitter} {icon_instagram} ",
    "{icon_mastodon} {icon_bsky} {usuario}"
)

Datos

Ocultar código
tuesdata <- tidytuesdayR::tt_load(2025, 17)
user2025 <- tuesdata$user2025

Procesamiento

Me interesan los temas principales (keywords) más frecuentes entre todas las conferencias.

Agrego a cada keywords un ícono obtenido de Iconify .

Ocultar código
d <- user2025 |> 
  separate_longer_delim(
    cols = keywords,
    delim = ", "
  ) |> 
  mutate(
    keywords = if_else(
      keywords == "data visualisation",
      "data visualization",
      keywords
    )
  ) |> 
  count(keywords, sort = TRUE) |> 
  slice_max(order_by = n, n = 20, with_ties = FALSE) |> 
  mutate(
    y = -row_number()
  ) |> 
  mutate(
    icon = case_match(
      keywords,
      "shiny" ~ "fa6-brands:r-project",
      "workflow" ~ "mdi:workflow",
      "ai" ~ "healthicons:artificial-intelligence",
      "automation" ~ "arcticons:automation",
      "machine learning" ~ "carbon:machine-learning",
      "data visualization" ~ "carbon:qq-plot",
      "quarto" ~ "simple-icons:quarto",
      "r package" ~ "fa6-brands:r-project",
      "causal inference" ~ "ix:logic-diagram",
      "data science" ~ "material-symbols:chart-data",
      "reproducibility" ~ "pepicons-pop:repeat-circle-filled",
      "api" ~ "material-symbols:api",
      "big data" ~ "eos-icons:big-data",
      "community" ~ "fluent:people-community-28-filled",
      "clinical trials" ~ "healthicons:clinical-f-24px",
      "consulting" ~ "mdi:dialogue",
      "docker" ~ "simple-icons:docker",
      "duckdb" ~ "devicon-plain:duckdb",
      "healthcare" ~ "streamline:medical-cross-sign-healthcare-solid",
      "ide" ~ "ant-design:code-filled"
    )
  ) |> 
  separate_wider_delim(
    cols = icon, delim = ":", names = c("prefix", "name")
  ) |> 
  mutate(
    svg = paste0(
      "https://api.iconify.design/", prefix, "/", name, ".svg"
    )
  ) |> 
  mutate(
    label = paste0("![](", svg, ") ", keywords)
  ) |> 
  mutate(
    tamaño = seq(15, 7, length.out = 20)
  ) |> 
  mutate(
    x = seq(0, 1, length.out = 20)
  )

Figura

Creo un estilo personalizado, con fuente y color.

Ocultar código
label_style <- modify_style(
  classic_style(),
  "body",
  family = "JetBrains Mono",
  color = c4
)

Subtítulo y figura.

Ocultar código
mi_subtitulo <- glue(
  "En el evento <b style='color: {c3}'>useR! 2025</b> hay planificadas 
  {nrow(user2025)} conferencias.<br>
  Se muetran algunas de las palabras clave más frecuentes."
)

g <- ggplot(d, aes(x, y, label = label, size = tamaño)) +
  geom_marquee(style = label_style, hjust = 0) +
  scale_size_identity() +
  coord_cartesian(xlim = c(-2, 10), ylim = c(-19, -2), clip = "off") +
  labs(
    subtitle = mi_subtitulo,
    caption = mi_caption
  ) +
  theme_void() +
  theme(
    plot.background = element_rect(fill = c2, color = NA),
    plot.subtitle = element_markdown(
      family = "ubuntu", color = c1, size = 27, lineheight = 1.3, hjust = 0,
      margin = margin(b = 40, t = 10, l = 10)
    ),
    plot.caption = element_markdown(
      family = "ubuntu", color = c3, size = 13, margin = margin(b = 10, r = 10),
      lineheight = 1.3
    )
  )

Guardo.

Ocultar código
ggsave(
  plot = g,
  filename = "tidytuesday/2025/semana_17.png",
  width = 30,
  height = 36,
  units = "cm"
)
Subir
Semana 16
Semana 18
Ejecutar el código
---
format:
  html:
    code-fold: show
    code-summary: "Ocultar código"
    code-line-numbers: false
    code-annotations: false
    code-link: true
    code-tools:
        source: true
        toggle: true
        caption: "Código"
    code-overflow: scroll
    page-layout: full
editor_options:
  chunk_output_type: console
categories: ["geom_marquee"]
execute:
  eval: false
  echo: true
  warning: false
title: "Semana 17"
date: 2025-04-29
author: Víctor Gauto
---

Palabras clave de las conferencias del evento [userR! 2025](https://user2025.r-project.org/).

![Semana 17, 2025](semana_17.png)

## Paquetes

```{r}
library(glue)
library(ggtext)
library(showtext)
library(marquee)
library(tidyverse)
```

## Estilos

Colores.

```{r}
c1 <- "dodgerblue4"
c2 <- "lightblue1"
c3 <- "navyblue"
c4 <- "darkslateblue"
```

Fuentes: Ubuntu y JetBrains Mono.

```{r}
font_add(
  family = "ubuntu",
  regular = "././fuente/Ubuntu-Regular.ttf",
  bold = "././fuente/Ubuntu-Bold.ttf",
  italic = "././fuente/Ubuntu-Italic.ttf"
)

font_add(
  family = "jet",
  regular = "././fuente/JetBrainsMonoNLNerdFontMono-Regular.ttf"
)

showtext_auto()
showtext_opts(dpi = 300)
```

## Epígrafe

```{r}
fuente <- glue(
    "Datos: <span style='color:{c1};'><span style='font-family:jet;'>",
    "{{<b>tidytuesdayR</b>}}</span> semana 17, ",
    "<b>useR! 2025</b>.</span>"
)

autor <- glue("<span style='color:{c1};'>**Víctor Gauto**</span>")
icon_twitter <- glue("<span style='font-family:jet;'>&#xf099;</span>")
icon_instagram <- glue("<span style='font-family:jet;'>&#xf16d;</span>")
icon_github <- glue("<span style='font-family:jet;'>&#xf09b;</span>")
icon_mastodon <- glue("<span style='font-family:jet;'>&#xf0ad1;</span>")
icon_bsky <- glue("<span style='font-family:jet;'>&#xe28e;</span>")
usuario <- glue("<span style='color:{c1};'>**vhgauto**</span>")
sep <- glue("**|**")

mi_caption <- glue(
    "{fuente}<br>{autor} {sep} {icon_github} {icon_twitter} {icon_instagram} ",
    "{icon_mastodon} {icon_bsky} {usuario}"
)
```

## Datos

```{r}
tuesdata <- tidytuesdayR::tt_load(2025, 17)
user2025 <- tuesdata$user2025
```

## Procesamiento

Me interesan los temas principales (`keywords`) más frecuentes entre todas las conferencias.

Agrego a cada `keywords` un ícono obtenido de [Iconify {{< iconify line-md:iconify2-static >}}](https://iconify.design/).

```{r}
d <- user2025 |> 
  separate_longer_delim(
    cols = keywords,
    delim = ", "
  ) |> 
  mutate(
    keywords = if_else(
      keywords == "data visualisation",
      "data visualization",
      keywords
    )
  ) |> 
  count(keywords, sort = TRUE) |> 
  slice_max(order_by = n, n = 20, with_ties = FALSE) |> 
  mutate(
    y = -row_number()
  ) |> 
  mutate(
    icon = case_match(
      keywords,
      "shiny" ~ "fa6-brands:r-project",
      "workflow" ~ "mdi:workflow",
      "ai" ~ "healthicons:artificial-intelligence",
      "automation" ~ "arcticons:automation",
      "machine learning" ~ "carbon:machine-learning",
      "data visualization" ~ "carbon:qq-plot",
      "quarto" ~ "simple-icons:quarto",
      "r package" ~ "fa6-brands:r-project",
      "causal inference" ~ "ix:logic-diagram",
      "data science" ~ "material-symbols:chart-data",
      "reproducibility" ~ "pepicons-pop:repeat-circle-filled",
      "api" ~ "material-symbols:api",
      "big data" ~ "eos-icons:big-data",
      "community" ~ "fluent:people-community-28-filled",
      "clinical trials" ~ "healthicons:clinical-f-24px",
      "consulting" ~ "mdi:dialogue",
      "docker" ~ "simple-icons:docker",
      "duckdb" ~ "devicon-plain:duckdb",
      "healthcare" ~ "streamline:medical-cross-sign-healthcare-solid",
      "ide" ~ "ant-design:code-filled"
    )
  ) |> 
  separate_wider_delim(
    cols = icon, delim = ":", names = c("prefix", "name")
  ) |> 
  mutate(
    svg = paste0(
      "https://api.iconify.design/", prefix, "/", name, ".svg"
    )
  ) |> 
  mutate(
    label = paste0("![](", svg, ") ", keywords)
  ) |> 
  mutate(
    tamaño = seq(15, 7, length.out = 20)
  ) |> 
  mutate(
    x = seq(0, 1, length.out = 20)
  )
```

## Figura

Creo un estilo personalizado, con fuente y color.

```{r}
label_style <- modify_style(
  classic_style(),
  "body",
  family = "JetBrains Mono",
  color = c4
)
```

Subtítulo y figura.

```{r}
mi_subtitulo <- glue(
  "En el evento <b style='color: {c3}'>useR! 2025</b> hay planificadas 
  {nrow(user2025)} conferencias.<br>
  Se muetran algunas de las palabras clave más frecuentes."
)

g <- ggplot(d, aes(x, y, label = label, size = tamaño)) +
  geom_marquee(style = label_style, hjust = 0) +
  scale_size_identity() +
  coord_cartesian(xlim = c(-2, 10), ylim = c(-19, -2), clip = "off") +
  labs(
    subtitle = mi_subtitulo,
    caption = mi_caption
  ) +
  theme_void() +
  theme(
    plot.background = element_rect(fill = c2, color = NA),
    plot.subtitle = element_markdown(
      family = "ubuntu", color = c1, size = 27, lineheight = 1.3, hjust = 0,
      margin = margin(b = 40, t = 10, l = 10)
    ),
    plot.caption = element_markdown(
      family = "ubuntu", color = c3, size = 13, margin = margin(b = 10, r = 10),
      lineheight = 1.3
    )
  )
```

Guardo.

```{r}
ggsave(
  plot = g,
  filename = "tidytuesday/2025/semana_17.png",
  width = 30,
  height = 36,
  units = "cm"
)
```

Creado con y

Víctor Gauto

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