Describes each column of a data set (type, number of distinct values,
range, share missing) and guesses its role: an item (whole numbers with
few categories), a group variable (few categories, e.g. gender), an id,
a response time (rt), or other. This summary is the only information
mv_ask() ever shares with an AI model; individual responses are never
included. Category labels are kept only for likely grouping variables.
Arguments
- data
a data frame.
Value
A tibble of class mv_profile with one row per column: column,
type, n_distinct, min, max, prop_missing, role and levels.
The number of rows of data is stored in the n attribute.
Examples
profile_data(Science)
#> Data profile: 392 rows, 4 columns (4 look like items)
#> column type n_distinct min max prop_missing role levels
#> Comfort integer 4 1 4 0 item
#> Work integer 4 1 4 0 item
#> Future integer 4 1 4 0 item
#> Benefit integer 4 1 4 0 item
