Inline histogram for a numeric vector

A one-line sketch of a column's distribution, as block characters (or ASCII where the console cannot render them). The point is density of information: a mean and a standard deviation cannot tell you a column is bimodal, and this can, in the width of a table cell.

Usage

inline_hist(x, bins = 10L)

Arguments

x

Numeric vector.

bins

Number of bins (default 10).

Value

A length-1 character vector of bins characters.

See also

profile_columns(), which includes one per numeric column.

Examples

set.seed(1)
# A symmetric distribution peaks in the middle.
inline_hist(stats::rnorm(1000))
#> [1] "▁▂▄██▇▄▂▁▁"

# A skewed one leans left.
inline_hist(stats::rexp(1000))
#> [1] "█▄▂▁▁▁▁▁▁▁"

# Bimodality is visible here and in no single summary number.
inline_hist(c(stats::rnorm(500, -3), stats::rnorm(500, 3)))
#> [1] "▁▅█▄▁▁▃█▆▁"

# A constant column has no spread to show.
inline_hist(rep(5, 10))
#> [1] "     █    "