Víctor Gauto
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Semana 26

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geom_richtext
Autor

Víctor Gauto

Fecha de publicación

14 de marzo de 2026

Relación entre la gasolina regular respecto de la premium.

Semana 26, 2025

Paquetes

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

Estilos

Colores.

Ocultar código
c1 <- "gold"
c2 <- "grey50"
c3 <- "grey40"
c4 <- "grey20"
c5 <- "grey10"
c6 <- "white"

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"
)

font_add(
  family = "bebas neue",
  regular = "././fuente/BebasNeue-Regular.ttf"
)

showtext_auto()
showtext_opts(dpi = 300)

Epígrafe

Ocultar código
fuente <- glue(
    "Datos: <span style='color:{c2};'><span style='font-family:jet;'>",
    "{{<b>tidytuesdayR</b>}}</span> semana 26, ",
    "<b>U.S. Energy Information Administration</b>.</span>"
)

autor <- glue("<span style='color:{c2};'>**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:{c2};'>**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, 26)
gas_prices <- tuesdata$weekly_gas_prices

Procesamiento

Me interesa la evolución de la relación entre el precio de la gasolina común respecto de la premium.

Ocultar código
d <- gas_prices |> 
  filter(
    fuel == "gasoline",
    grade %in% c("regular", "premium"),
    formulation == "all"
  ) |> 
  select(-fuel, -formulation) |> 
  pivot_wider(
    names_from = grade,
    values_from = price,
    id_cols = date
  ) |> 
  drop_na() |> 
  mutate(r = (premium-regular)/regular)

Figura

El paquete {ggfx} sirve para generar el brillo de la caja de texto y la línea de evolución.

Creo dos títulos: mi_titulo1 para generar el espacio y darle brillo al contorno, y mi_titulo2 para mostrar el texto, quitando el contorno.

Ocultar código
mi_titulo1 <- glue(
  "Costo extra de la gasolina<br><b style='color: white'>premium</b> respecto 
  de la<br><b style='color: white'>común</b> en **EE.UU.**"
)

mi_titulo2 <- glue(
  "Costo extra de la gasolina<br>premium respecto 
  de la<br>común en **EE.UU.**"
)

Figura.

Ocultar código
g <- ggplot(d, aes(date, r)) +
  ggfx::with_blur(
    geom_line(color = c1, lineend = "round", linewidth = 1, alpha = 1),
    sigma = 14
  ) +
  geom_line(color = c1, lineend = "round", linewidth = .5, alpha = 1) +
  ggfx::with_blur(
    geom_richtext(
      x = I(.02), y = I(.98), label = mi_titulo2, hjust = 0, vjust = 1,
      color = NA, family = "ubuntu", size = 9, label.r = unit(0, "mm"),
      label.padding = unit(4, "mm"), fill = c5, label.color = c6,
      label.size = unit(.6, "mm")
    ),
    sigma = 10,
    stack = TRUE
  ) +
  annotate(
    geom = "richtext",
    x = I(.02),
    y = I(.98),
    label = mi_titulo1,
    hjust = 0,
    vjust = 1,
    family = "ubuntu",
    fill = NA,
    color = c3,
    label.color = NA,
    label.r = unit(0, "mm"),
    label.padding = unit(4, "mm"),
    size = 9
  ) +
  scale_x_date(
    date_labels = "'%y",
    breaks = seq.Date(ymd(19900101), ymd(20270101), "5 year"),
    minor_breaks = "1 year",
    limits = c(ymd(19940101), ymd(20260101)),
    expand = c(0, 0)
  ) +
  scale_y_continuous(
    labels = scales::label_percent(), 
    breaks = scales::breaks_width(.1),
    minor_breaks = scales::breaks_width(.02),
    limits = c(.05, .4),
    expand = c(0, 0)
  ) +
  coord_cartesian(clip = "off") +
  labs(x = NULL, y = NULL, caption = mi_caption) +
  theme_void(base_size = 20, base_family = "bebas neue") +
  theme(
    aspect.ratio = 1,
    plot.margin = margin(20, 20, 20, 20),
    plot.background = element_rect(fill = c5, color = NA),
    plot.caption = element_markdown(
      family = "ubuntu", color = c3, size = rel(.7), lineheight = 1.3,
      margin = margin(b = 5, t = 20)
    ),
    panel.background = element_blank(),
    panel.grid.major = element_line(
      linetype = "55", linewidth = .2, color = c3
    ),
    panel.grid.minor = element_line(
      linetype = "55", linewidth = .2, color = c4
    ),
    axis.text = element_text(size = rel(1.4), color = c2),
    axis.text.x = element_text(margin = margin(t = 5)),
    axis.text.y = element_text(margin = margin(r = 5))
  )

Guardo.

Ocultar código
ggsave(
  plot = g,
  filename = "tidytuesday/2025/semana_26.png",
  width = 30,
  height = 31,
  units = "cm"
)
Subir
Ejecutar el código
---
format:
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    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_line
  - geom_richtext
execute:
  eval: false
  echo: true
  warning: false
title: "Semana 26"
date: last-modified
author: Víctor Gauto
---

Relación entre la gasolina regular respecto de la premium.

![Semana 26, 2025](semana_26.png)

## Paquetes

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

## Estilos

Colores.

```{r}
c1 <- "gold"
c2 <- "grey50"
c3 <- "grey40"
c4 <- "grey20"
c5 <- "grey10"
c6 <- "white"
```

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"
)

font_add(
  family = "bebas neue",
  regular = "././fuente/BebasNeue-Regular.ttf"
)

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

## Epígrafe

```{r}
fuente <- glue(
    "Datos: <span style='color:{c2};'><span style='font-family:jet;'>",
    "{{<b>tidytuesdayR</b>}}</span> semana 26, ",
    "<b>U.S. Energy Information Administration</b>.</span>"
)

autor <- glue("<span style='color:{c2};'>**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:{c2};'>**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, 26)
gas_prices <- tuesdata$weekly_gas_prices
```

## Procesamiento

Me interesa la evolución de la relación entre el precio de la gasolina común respecto de la premium.

```{r}
d <- gas_prices |> 
  filter(
    fuel == "gasoline",
    grade %in% c("regular", "premium"),
    formulation == "all"
  ) |> 
  select(-fuel, -formulation) |> 
  pivot_wider(
    names_from = grade,
    values_from = price,
    id_cols = date
  ) |> 
  drop_na() |> 
  mutate(r = (premium-regular)/regular)
```

## Figura

El paquete [`{ggfx}`](https://ggfx.data-imaginist.com/index.html) sirve para generar el brillo de la caja de texto y la línea de evolución.

Creo dos títulos: `mi_titulo1` para generar el espacio y darle brillo al contorno, y `mi_titulo2` para mostrar el texto, quitando el contorno.

```{r}
mi_titulo1 <- glue(
  "Costo extra de la gasolina<br><b style='color: white'>premium</b> respecto 
  de la<br><b style='color: white'>común</b> en **EE.UU.**"
)

mi_titulo2 <- glue(
  "Costo extra de la gasolina<br>premium respecto 
  de la<br>común en **EE.UU.**"
)
```

Figura.

```{r}
g <- ggplot(d, aes(date, r)) +
  ggfx::with_blur(
    geom_line(color = c1, lineend = "round", linewidth = 1, alpha = 1),
    sigma = 14
  ) +
  geom_line(color = c1, lineend = "round", linewidth = .5, alpha = 1) +
  ggfx::with_blur(
    geom_richtext(
      x = I(.02), y = I(.98), label = mi_titulo2, hjust = 0, vjust = 1,
      color = NA, family = "ubuntu", size = 9, label.r = unit(0, "mm"),
      label.padding = unit(4, "mm"), fill = c5, label.color = c6,
      label.size = unit(.6, "mm")
    ),
    sigma = 10,
    stack = TRUE
  ) +
  annotate(
    geom = "richtext",
    x = I(.02),
    y = I(.98),
    label = mi_titulo1,
    hjust = 0,
    vjust = 1,
    family = "ubuntu",
    fill = NA,
    color = c3,
    label.color = NA,
    label.r = unit(0, "mm"),
    label.padding = unit(4, "mm"),
    size = 9
  ) +
  scale_x_date(
    date_labels = "'%y",
    breaks = seq.Date(ymd(19900101), ymd(20270101), "5 year"),
    minor_breaks = "1 year",
    limits = c(ymd(19940101), ymd(20260101)),
    expand = c(0, 0)
  ) +
  scale_y_continuous(
    labels = scales::label_percent(), 
    breaks = scales::breaks_width(.1),
    minor_breaks = scales::breaks_width(.02),
    limits = c(.05, .4),
    expand = c(0, 0)
  ) +
  coord_cartesian(clip = "off") +
  labs(x = NULL, y = NULL, caption = mi_caption) +
  theme_void(base_size = 20, base_family = "bebas neue") +
  theme(
    aspect.ratio = 1,
    plot.margin = margin(20, 20, 20, 20),
    plot.background = element_rect(fill = c5, color = NA),
    plot.caption = element_markdown(
      family = "ubuntu", color = c3, size = rel(.7), lineheight = 1.3,
      margin = margin(b = 5, t = 20)
    ),
    panel.background = element_blank(),
    panel.grid.major = element_line(
      linetype = "55", linewidth = .2, color = c3
    ),
    panel.grid.minor = element_line(
      linetype = "55", linewidth = .2, color = c4
    ),
    axis.text = element_text(size = rel(1.4), color = c2),
    axis.text.x = element_text(margin = margin(t = 5)),
    axis.text.y = element_text(margin = margin(r = 5))
  )
```

Guardo.

```{r}
ggsave(
  plot = g,
  filename = "tidytuesday/2025/semana_26.png",
  width = 30,
  height = 31,
  units = "cm"
)
```

Creado con y

Víctor Gauto

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