library(apexcharter)
library(dplyr)
# economics dataset from ggplot2
data("economics", package = "ggplot2")
economics <- tail(economics, 50)
data("economics_long", package = "ggplot2")
economics_long <- economics_long %>%
filter(variable %in% c("pce", "pop")) %>%
group_by(variable) %>%
slice(tail(row_number(), 20))
Classic line:
Spline curve:
apex(data = economics, type = "line", mapping = aes(x = date, y = uempmed)) %>%
ax_stroke(curve = "smooth")
Steps chart:
Color line with gradient:
apex(data = economics, type = "line", mapping = aes(x = date, y = uempmed)) %>%
ax_fill(
type = "gradient",
gradient = list(
shade = "dark",
gradientToColors = list("#FDD835"),
shadeIntensity = 1,
type = "horizontal",
opacityFrom = 1,
opacityTo = 1,
stops = c(0, 100, 100, 100)
)
)
Solid area color:
apex(data = economics, type = "area", mapping = aes(x = date, y = uempmed)) %>%
ax_fill(type = "solid", opacity = 1)
Line width:
apex(data = economics, type = "line", mapping = aes(x = date, y = uempmed)) %>%
ax_stroke(width = 1)
Dotted line
Add points to line :
apex(data = tail(economics, 20), type = "line", mapping = aes(x = date, y = uempmed)) %>%
ax_markers(size = 6)
Add labels over points