wakefield (version 0.3.6)

table_heat: View Data Table Column Types as Heat Map

Description

Generate a heat map of column types from a data.frame.

Usage

table_heat(
  x,
  flip = FALSE,
  palette = "Set3",
  print = interactive(),
  sep = "\n"
)

Arguments

x

A data.frame.

flip

logical. If TRUE the data.frame is flipped so that the columns are on the y axis and observations on the x axis. This is useful when there are many columns or the column names are longer.

palette

A palette to chose from. See scale_fill_brewer for more. These choices should exceed the number of unique column types. Use NULL to use ggplot2's default color scheme.

print

logical. If TRUE the pot is printed. Option for use in document construction such as knitr or rmarkdown.

sep

A separator to use between column types. Column types are determined via sapply(x, class). When multiple types are present these are collapsed. By default the \n is used.

Value

Returns a ggplot2 object.

Details

By default coumn names retain their order. Column types are ordered alphabetically in the legend, with NA appearing last.

Examples

# NOT RUN {
table_heat(mtcars) #boring
table_heat(CO2)
table_heat(iris)
table_heat(state_populations)

dat <- r_data_frame(100,
    lorem_ipsum,
    birth,
    animal,
    age,
    grade, grade,
    death,
    dummy,
    grade_letter
)

table_heat(dat)
table_heat(dat, flip=TRUE)

table_heat(r_data_theme(), flip=TRUE)

## NA values
table_heat(r_na(dat, NULL))

## Colors
table_heat(r_na(dat, NULL), palette = NULL)
table_heat(r_na(dat, NULL), palette = "Set1")
table_heat(r_na(dat, NULL), palette = "Set2")
table_heat(r_na(dat, NULL), palette = "Set1")
table_heat(r_na(dat, NULL), palette = "Dark2")
table_heat(r_na(dat, NULL), palette = "Spectral")
table_heat(r_na(dat, NULL), palette = "Reds")
# }