print and summary method for "overview" class.

# S3 method for overview
summary(object, html = FALSE, ...)

Arguments

object

an object of class "overview", usually, a result of a call to overview().

html

logical. whether to send summary results to html. The default is FALSE, which prints to the R console.

...

further arguments passed to or from other methods.

Details

summary.overview() tries to be smart about formatting 14 information of overview.

See also

Examples

# \donttest{ ov <- overview(jobchange) ov
#> division metrics value #> 1 size observations 19158 #> 2 size variables 14 #> 3 size values 268212 #> 4 size memory size 2318464 #> 5 duplicated duplicate observation 0 #> 6 missing complete observation 8955 #> 7 missing missing observation 10203 #> 8 missing missing variables 8 #> 9 missing missing values 20733 #> 10 data type numerics 1 #> 11 data type integers 1 #> 12 data type factors/ordered 11 #> 13 data type characters 1 #> 14 data type others 0
summary(ov)
#> ── Data Scale ────────────────────────────────────────────── #> • Number of observations : 19,158 #> • Number of variables : 14 #> • Number of values : 268,212 #> • Size of located memory(bytes) : 2,318,464 #> #> ── Duplicated Data ───────────────────────────────────────── #> • Number of duplicated observations : 0 (0%) #> #> ── Missing Data ──────────────────────────────────────────── #> • Number of completed observations : 8,955 #> • Number of observations with NA : 10,203 (53.26%) #> • Number of variables with NA : 8 #> • Number of NA : 20,733 #> #> ── Data Type ─────────────────────────────────────────────── #> • Number of numeric variables : 1 #> • Number of integer variables : 1 #> • Number of factors variables : 11 #> • Number of character variables : 1 #> • Number of other variables : 0 #> #> ── Individual variables ──────────────────────────────────── #> Variables Data Type #> 1 enrollee_id character #> 2 city factor #> 3 city_dev_index numeric #> 4 gender factor #> 5 relevent_experience factor #> 6 enrolled_university factor #> 7 education_level ordered #> 8 major_discipline factor #> 9 experience ordered #> 10 company_size ordered #> 11 company_type factor #> 12 last_new_job ordered #> 13 training_hours integer #> 14 job_chnge factor
# }