ds_screener {descriptr} | R Documentation |
Screen data
Description
Screen data and return details such as variable names, class, levels and
missing values. plot.ds_screener()
creates bar plots to visualize
of missing observations for each variable in a data set.
Usage
ds_screener(data)
## S3 method for class 'ds_screener'
plot(x, ...)
Arguments
data |
A |
x |
An object of class |
... |
Further arguments to be passed to or from methods. |
Value
ds_screener()
returns an object of class "ds_screener"
.
An object of class "ds_screener"
is a list containing the
following components:
Rows |
Number of rows in the data frame. |
Columns |
Number of columns in the data frame. |
Variables |
Names of the variables in the data frame. |
Types |
Class of the variables in the data frame. |
Count |
Length of the variables in the data frame. |
nlevels |
Number of levels of a factor variable. |
levels |
Levels of factor variables in the data frame. |
Missing |
Number of missing observations in each variable. |
MissingPer |
Percent of missing observations in each variable. |
MissingTotal |
Total number of missing observations in the data frame. |
MissingTotPer |
Total percent of missing observations in the data frame. |
MissingRows |
Total number of rows with missing observations in the data frame. |
MissingCols |
Total number of columns with missing observations in the data frame. |
Examples
# screen data
ds_screener(mtcarz)
ds_screener(airquality)
# plot
x <- ds_screener(airquality)
plot(x)