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Semana 38

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geom_col
Autor

Víctor Gauto

Fecha de publicación

18 de febrero de 2026

Países con la mayor cantidad de Grandes Maestros de ajedrez.

Semana 38, 2025

Paquetes

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

Estilos

Colores.

Ocultar código
c1 <- "black"
c2 <- "white"
c3 <- "#BA5AA2"
c4 <- "#659643"

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:{c3};'><span style='font-family:jet;'>",
  "{{<b>tidytuesdayR</b>}}</span> semana 38, ",
  "<b>International Chess Federation</b>.</span>"
)

autor <- glue("<span style='color:{c3};'>**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:{c3};'>**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, 38)
september <- tuesdata$fide_ratings_september

Procesamiento

Me interesan los países con mayor cantidad de Grandes Maestros.

Obtengo los nombres de los países de acuerdo con la abreviatura de sus federaciones.

Ocultar código
fed_tbl <- rvest::read_html(
  "https://www.mark-weeks.com/aboutcom/mw15b16.htm"
) |>
  rvest::html_table() |>
  pluck(2) |>
  rename_with(tolower) |>
  select(fed, country)

Selecciono septiembre de 2025 como el mes de interés y creo datos con las traducciones de los países.

Ocultar código
d <- inner_join(september, fed_tbl, by = join_by(fed)) |>
  filter(title %in% c("GM", "FGM")) |>
  count(country, sort = TRUE) |>
  mutate(country = fct_reorder(country, n)) |>
  slice_max(order_by = country, n = 12)

country_tbl <- tibble(
  country = d$country,
  pais = c(
    "Alemania",
    "EE.UU.",
    "India",
    "Rusia",
    "Ucrania",
    "Francia",
    "Serbia",
    "España",
    "Israel",
    "Polonia",
    "Hungría",
    "China"
  )
)

Combino todos los datos.

Ocultar código
d2 <- inner_join(country_tbl, d, by = join_by(country)) |>
  mutate(pais = factor(pais, levels = rev(pais)))

Figura

Defino patrones para las barras usando {grid} y diferentes intensidades de colores.

Ocultar código
f_pattern <- function(C) {
  pattern(
    gTree(
      children = gList(
        rectGrob(
          x = c(.25, .75),
          y = c(.25, .75),
          width = .5,
          height = .5,
          gp = gpar(fill = scales::col_darker(C), col = NA)
        ),
        rectGrob(
          x = c(.25, .75),
          y = c(.75, .25),
          width = .5,
          height = .5,
          gp = gpar(fill = scales::col_lighter(C), col = NA)
        )
      )
    ),
    width = .05,
    height = .05,
    extend = "repeat"
  )
}

p <- map(
  scico::scico(n = 12, palette = "bam"),
  f_pattern
)

Título y figura.

Ocultar código
mi_titulo <- glue(
  "Países con mayor cantidad de <b style='color: {c3};'>Grandes Maestros</b> ",
  " del<br><b style='color: {c4};'>ajedrez</b>, masculinos y femeninos, a ",
  "septiembre de 2025"
)

g <- ggplot(d2, aes(n, pais, fill = pais)) +
  geom_col(show.legend = FALSE, width = .8, fill = p) +
  scale_x_continuous(breaks = scales::breaks_width(10)) +
  coord_cartesian(expand = FALSE) +
  labs(x = NULL, y = NULL, title = mi_titulo, caption = mi_caption) +
  theme_bw(base_size = 24, base_family = "ubuntu") +
  theme(
    text = element_text(color = c2),
    aspect.ratio = 1,
    axis.ticks.y = element_blank(),
    axis.ticks.x = element_line(color = c2, linewidth = .2),
    panel.border = element_blank(),
    panel.background = element_blank(),
    panel.grid = element_blank(),
    panel.grid.major.x = element_line(
      color = c2,
      linewidth = .1,
      linetype = "55"
    ),
    panel.ontop = TRUE,
    axis.text = element_text(color = c2),
    axis.text.x = element_text(family = "jet"),
    axis.text.y = element_text(margin = margin(r = 15)),
    plot.background = element_rect(fill = c1, color = NA),
    plot.title = element_markdown(lineheight = 1.2),
    plot.title.position = "plot",
    plot.caption = element_markdown(
      size = rel(.6),
      lineheight = 1.2,
      color = c4
    )
  )

Guardo.

Ocultar código
ggsave(
  plot = g,
  filename = "tidytuesday/2025/semana_38.png",
  width = 30,
  height = 30,
  units = "cm"
)
Subir
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_col
  - geom_col
execute:
  eval: false
  echo: true
  warning: false
title: "Semana 38"
date: last-modified
author: Víctor Gauto
---

Países con la mayor cantidad de Grandes Maestros de ajedrez.

::: {.column-page-right}

![Semana 38, 2025](semana_38.png)

:::

## Paquetes

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

## Estilos

Colores.

```{r}
c1 <- "black"
c2 <- "white"
c3 <- "#BA5AA2"
c4 <- "#659643"
```

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:{c3};'><span style='font-family:jet;'>",
  "{{<b>tidytuesdayR</b>}}</span> semana 38, ",
  "<b>International Chess Federation</b>.</span>"
)

autor <- glue("<span style='color:{c3};'>**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:{c3};'>**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, 38)
september <- tuesdata$fide_ratings_september
```

## Procesamiento

Me interesan los países con mayor cantidad de [Grandes Maestros](https://es.wikipedia.org/wiki/Gran_maestro_internacional).

Obtengo los nombres de los países de acuerdo con la abreviatura de sus [federaciones](https://www.mark-weeks.com/aboutcom/mw15b16.htm).

```{r}
fed_tbl <- rvest::read_html(
  "https://www.mark-weeks.com/aboutcom/mw15b16.htm"
) |>
  rvest::html_table() |>
  pluck(2) |>
  rename_with(tolower) |>
  select(fed, country)
```

Selecciono septiembre de 2025 como el mes de interés y creo datos con las traducciones de los países.

```{r}
d <- inner_join(september, fed_tbl, by = join_by(fed)) |>
  filter(title %in% c("GM", "FGM")) |>
  count(country, sort = TRUE) |>
  mutate(country = fct_reorder(country, n)) |>
  slice_max(order_by = country, n = 12)

country_tbl <- tibble(
  country = d$country,
  pais = c(
    "Alemania",
    "EE.UU.",
    "India",
    "Rusia",
    "Ucrania",
    "Francia",
    "Serbia",
    "España",
    "Israel",
    "Polonia",
    "Hungría",
    "China"
  )
)
```

Combino todos los datos.

```{r}
d2 <- inner_join(country_tbl, d, by = join_by(country)) |>
  mutate(pais = factor(pais, levels = rev(pais)))
```

## Figura

Defino [patrones](https://www.tidyverse.org/blog/2024/02/ggplot2-3-5-0/#patterns-and-gradients) para las barras usando `{grid}` y diferentes intensidades de colores.

```{r}
f_pattern <- function(C) {
  pattern(
    gTree(
      children = gList(
        rectGrob(
          x = c(.25, .75),
          y = c(.25, .75),
          width = .5,
          height = .5,
          gp = gpar(fill = scales::col_darker(C), col = NA)
        ),
        rectGrob(
          x = c(.25, .75),
          y = c(.75, .25),
          width = .5,
          height = .5,
          gp = gpar(fill = scales::col_lighter(C), col = NA)
        )
      )
    ),
    width = .05,
    height = .05,
    extend = "repeat"
  )
}

p <- map(
  scico::scico(n = 12, palette = "bam"),
  f_pattern
)
```

Título  y figura.

```{r}
mi_titulo <- glue(
  "Países con mayor cantidad de <b style='color: {c3};'>Grandes Maestros</b> ",
  " del<br><b style='color: {c4};'>ajedrez</b>, masculinos y femeninos, a ",
  "septiembre de 2025"
)

g <- ggplot(d2, aes(n, pais, fill = pais)) +
  geom_col(show.legend = FALSE, width = .8, fill = p) +
  scale_x_continuous(breaks = scales::breaks_width(10)) +
  coord_cartesian(expand = FALSE) +
  labs(x = NULL, y = NULL, title = mi_titulo, caption = mi_caption) +
  theme_bw(base_size = 24, base_family = "ubuntu") +
  theme(
    text = element_text(color = c2),
    aspect.ratio = 1,
    axis.ticks.y = element_blank(),
    axis.ticks.x = element_line(color = c2, linewidth = .2),
    panel.border = element_blank(),
    panel.background = element_blank(),
    panel.grid = element_blank(),
    panel.grid.major.x = element_line(
      color = c2,
      linewidth = .1,
      linetype = "55"
    ),
    panel.ontop = TRUE,
    axis.text = element_text(color = c2),
    axis.text.x = element_text(family = "jet"),
    axis.text.y = element_text(margin = margin(r = 15)),
    plot.background = element_rect(fill = c1, color = NA),
    plot.title = element_markdown(lineheight = 1.2),
    plot.title.position = "plot",
    plot.caption = element_markdown(
      size = rel(.6),
      lineheight = 1.2,
      color = c4
    )
  )
```

Guardo.

```{r}
ggsave(
  plot = g,
  filename = "tidytuesday/2025/semana_38.png",
  width = 30,
  height = 30,
  units = "cm"
)
```

```{r}
#| eval: false
#| echo: false

piezas <- c(
  "\U265A",
  "\U265B",
  "\U265C",
  "\U265D",
  "\U265E",
  "\U265F"
)

piezas_blancas <- glue("<span style='color: white;'>{piezas}</span>")
piezas_oscuras <- glue("<span style='color: black;'>{piezas}</span>")


ancho <- ceiling(max(d$n) / 2)
alto <- nrow(d) * 3 - 1

d_tablero <- expand_grid(
  y = 1:alto,
  x = 1:ancho
) |>
  mutate(id = row_number()) |>
  mutate(fill = if_else(id %% 2 == 0, c2, c1)) |>
  select(-id)


d_country <- d |>
  arrange(country) |>
  mutate(id = row_number()) |>
  mutate(y = lag(x = id, n = 2, default = 0)) |>
  mutate(y = id * 2 + y) |>
  mutate(y = if_else(id == 1, 1, y)) |>
  mutate(y = y + 1) |>
  inner_join(country_tbl, by = join_by(country)) |>
  mutate(pais = fct_reorder(pais, n))

d_y1 <- d |>
  arrange(country) |>
  mutate(id = row_number()) |>
  mutate(y = lag(x = id, n = 2, default = 0)) |>
  mutate(y = id * 2 + y) |>
  mutate(y = if_else(id == 1, 1, y)) |>
  mutate(y = y + 1) |>
  mutate(x = map(ceiling(n / 2), ~ 1:.x)) |>
  mutate(largo = map_dbl(x, length)) |>
  mutate(blancas = c(piezas_blancas, piezas_blancas)) |>
  mutate(oscuras = c(piezas_oscuras, piezas_oscuras)) |>
  unnest(x) |>
  inner_join(d_tablero, by = join_by(x, y)) |>
  mutate(label = if_else(fill == c2, oscuras, blancas))

d_y2 <- d |>
  arrange(country) |>
  mutate(id = row_number()) |>
  mutate(y = lag(x = id, n = 2, default = 0)) |>
  mutate(y = id * 2 + y) |>
  mutate(y = if_else(id == 1, 1, y)) |>
  mutate(x = map(n - ceiling(n / 2), ~ 1:.x)) |>
  mutate(largo = map_dbl(x, length)) |>
  mutate(blancas = c(piezas_blancas, piezas_blancas)) |>
  mutate(oscuras = c(piezas_oscuras, piezas_oscuras)) |>
  unnest(x) |>
  inner_join(d_tablero, by = join_by(x, y)) |>
  mutate(label = if_else(fill == c2, oscuras, blancas))

d_y <- rbind(d_y1, d_y2)

g <- ggplot(d_tablero, aes(x, y, fill = fill)) +
  geom_tile() +
  geom_richtext(
    data = d_y,
    aes(x + .1, y, label = label),
    inherit.aes = FALSE,
    size = 5,
    fill = NA,
    label.color = NA
  ) +
  geom_text(
    data = d_country,
    aes(0, y - .5, label = pais),
    inherit.aes = FALSE,
    family = "ubuntu",
    color = c2,
    size = 6,
    hjust = 1
  ) +
  geom_point(
    data = d_country,
    aes(ceiling(n / 2) + 1.5, y - .5),
    inherit.aes = FALSE,
    shape = 21,
    size = 8,
    color = c1,
    fill = c2,
    stroke = .4
  ) +
  geom_text(
    data = d_country,
    aes(ceiling(n / 2) + 1.5, y - .5, label = n),
    inherit.aes = FALSE,
    family = "jet",
    size = 4,
    color = c1
  ) +
  scale_x_continuous(breaks = scales::breaks_width(1)) +
  scale_y_continuous(breaks = scales::breaks_width(1)) +
  scale_fill_identity() +
  coord_equal(clip = "off", xlim = c(-3, NA)) +
  theme_void(base_family = "ubuntu") +
  theme(
    plot.background = element_rect(fill = c1)
  )

ggsave(
  plot = g,
  filename = "tidytuesday/2025/semana_38.png",
  width = 30,
  height = 25,
  units = "cm"
)

browseURL(paste0(getwd(), "/tidytuesday/2025/semana_38_XXX.png"))
```

Creado con y

Víctor Gauto

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