Compact vector profile

Summarizes numeric/integer, character/factor, logical, Date, and POSIXct vectors. Numeric summaries use base R type-7 quartiles and sample standard deviation (stats::sd). Numeric data also gets an eight-bin histogram rendered with the existing sparkline widget. Without sample, vector summaries analyze the full in-memory vector. Character top-value counts cap their frequency table at 100,000 analyzed non-missing values. Supplying sample analyzes deterministic, evenly spaced positions. A table_source is rejected to prevent an implicit full scan; fetch or sample data explicitly first. data may also be a reactive function.

Usage

data_profile(
  data,
  name = NULL,
  sample = NULL,
  top_n = 5L,
  id = NULL,
  classes = NULL,
  style = NULL,
  disabled = FALSE
)

Arguments

data

An atomic vector, factor, Date, or POSIXct vector.

name

Heading for the profile.

sample

Optional positive number of evenly spaced values to analyze.

top_n

Number of frequent character/factor values to display.

id

Optional identifier.

classes

Optional classes.

style

A style().

disabled

Disable the widget?

Value

A DataProfile widget with reactive $data and $summary.

Examples

data_profile(mtcars$mpg, name = "mpg")
#> <DataProfile>
#> ├── <Label> "mpg"
#> ├── <KeyValue>
#> ├── <Label> "Distribution"
#> └── <Sparkline>