Plot a histogram chart

Usage

plot_histogram(
  data,
  x,
  color = "#FFFFFF",
  fill = "#3957BD",
  zero = TRUE,
  bins = NULL,
  method = "fd",
  density = FALSE,
  facet = FALSE,
  ...
)

Arguments

data: A data.frame type object
x: <data-masked> Indicates the numeric variable to be mapped
color: Color of the line of column.
fill: Color of the inner part of the column.
zero: Logical indicating if a horizontal (y = 0) line should be drawn on the plot.
bins: Number of bins.
method: Character indicating an algorithm to compute optimal number of bins. See details. Overridden by bins. Defaults to method = "fd".
density: Logical indicating if density should be plotted on y-axis.
facet: <data-masked> Optional variable to facet the graphics.
...: Additional parameters to facet_wrap()

Value

A ggplot2 object

Examples

set.seed(5)
tbl <- data.frame(x = rnorm(n = 1000))

# Default parameters use Freedman-Diaconis
plot_histogram(data = tbl, x = x)

# Use bins to manually choose number of bins
plot_histogram(data = tbl, x = x, bins = 50)

# Example of alternative methods: square root and Rice
plot_histogram(data = tbl, x = x, method = "sqrt")

plot_histogram(data = tbl, x = x, method = "Rice")


# To compare multiple groups use facet
tbl <- data.frame(
city = rep(c("A", "B", "C"), each.out = 500),
x = c(rnorm(500), runif(500), rexp(500))
)
plot_histogram(data = tbl, x = x, facet = city, density = TRUE)