14 geom_l

14.1 geom_label

Package

ggplot2 (Wickham 2016)

Description

Labelling plots

Understandable aesthetics

Required aesthetics

x, y, label

Optional aesthetics

alpha, angle, colour, family, fontface, group, hjust, lineheight, size, vjust

See also

geom_text

Example

a1 <- worldbankdata |>
  filter(Income == "L" | Income =="H") |> 
  filter(Year == 2021) |>
  ggplot(aes(x = Cooking, y = Electricity, label = Income)) + 
  geom_label(aes(fill = factor(Income)), colour = "white", fontface = "bold", alpha=0.5) + theme(aspect.ratio = 1) + labs(title = "a1: geom_label only") 
a2 <- worldbankdata |>
  filter(Income == "L" | Income =="H") |> 
  filter(Year == 2021) |>
  ggplot(aes(x = Cooking, y = Electricity, label = Income)) + 
  geom_point(aes(col = Income)) +  theme(aspect.ratio = 1) + 
  labs(title = "a2: geom_point only") 
a1|a2

14.2 geom_line

Package

ggplot2 (Wickham 2016)

Description

Connects data in order of the variable on the x axis.

Understandable aesthetics

required aesthetics

x

y

optional aesthetics

alpha, colour, group, linetype, linewidth

See also

geom_path

Example

a1 <- worldbankdata |>
  filter(Country == "Sri Lanka") |>
  ggplot(aes(x=Year, y=Cooking)) + 
  geom_line() + ggtitle("geom_line only")
a2 <- worldbankdata |>
  filter(Country == "Sri Lanka") |>
  ggplot(aes(x=Year, y=Cooking)) + 
  geom_line() + 
  geom_point() +
  ggtitle("geom_line and geom_point")
a1|a2

14.3 geom_linerange

Package

ggplot2 (Wickham 2016)

Description

Representing a vertical interval defined by x, ymin and ymax

Understandable aesthetics

required aesthetics

x or y,

ymin or xmin,

ymax or xmax

optional aesthetics

alpha, colour, group, linetype, linewidth

Example

worldbankdata |>
  group_by(Region) |>
  summarise(min = min(Cooking, na.rm = TRUE), max=max(Cooking, 
                                                      na.rm = TRUE)) |>
  ggplot(aes(x=Region)) +
  geom_linerange(aes(ymin = min, ymax = max)) +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))