Create a Billboard.js widget — billboarder • billboarder

Create an interactive visualization with Javascript library Billboard.js.

Usage

billboarder(
  bb_opts = list(),
  data = NULL,
  width = NULL,
  height = NULL,
  elementId = NULL
)

Arguments

bb_opts: A `list` in JSON format with chart parameters, see <https://naver.github.io/billboard.js/demo/>.
data: A `data.frame`.
width: A numeric input in pixels.
height: A numeric input in pixels.
elementId: Use an explicit element ID for the widget.

Examples

# Bar chart
stars <- data.frame(
  package = c("billboarder", "ggiraph", "officer", "shinyWidgets", "visNetwork"),
  stars = c(67, 252, 160, 144, 224)
)

billboarder() %>%
  bb_barchart(data = stars) %>%
  bb_y_grid(show = TRUE) %>%
  bb_labs(
    title = "GitHub stars",
    caption = "Example with billboarder"
  )

  
  


# Scatter plot with grouping
billboarder(data = iris) %>%
  bb_scatterplot(
    mapping = bbaes(Sepal.Length, Sepal.Width, group = Species)
  ) %>%
  bb_point(r = 6) %>%
  bb_labs(
    title = "Iris dataset",
    subtitle = "Sepal length vs sepal width"
  ) %>%
  bb_x_axis(
    label = list(text = "Sepal length", position = "outer-center")
  ) %>%
  bb_y_axis(
    label = list(text = "Sepal width", position = "outer-middle")
  )

  
  

  
  
# Using raw Billboard.js options
billboarder(
  bb_opts = list(
    data = list(
      columns = list(
        c("data1", 30, 200, 100, 400, 150, 250),
        c("data2", 50, 20, 10, 40, 15, 25)
      ),
      type = "bar",
      colors = list(
        data1 = "#1f77b4",
        data2 = "#ff7f0e"
      )
    ),
    axis = list(
      x = list(
        type = "category",
        categories = c("Jan", "Feb", "Mar", "Apr", "May", "Jun")
      )
    ),
    grid = list(
      y = list(show = TRUE)
    )
  )
)