Inquire basic information to understand the data in general.
overview(.data)
An object of overview class. The overview class contains data.frame and two attributes. data.frame has the following 3 variables.: data.frame is as follow.:
division : division of information.
size : indicators of related to data capacity
duplicated : indicators of related to duplicated value
missing : indicators of related to missing value
data_type : indicators of related to data type
metrics : name of metrics.
observations : number of observations (number of rows)
variables : number of variables (number of columns)
values : number of values (number of cells. rows * columns)
memory size : an estimate of the memory that is being used to store an R object.
duplicate observation: number of duplicate cases(observations).
complete observation : number of complete cases(observations). i.e., have no missing values.
missing observation : number of observations that has missing values.
missing variables : number of variables that has missing values.
missing values : number of values(cells) that has missing values.
numerics : number of variables that is data type is numeric.
integers : number of variables that is data type is integer.
factors : number of variables that is data type is factor.
characters : number of variables that is data type is character.
Dates : number of variables that is data type is Date.
POSIXcts : number of variables that is data type is POSIXct.
others : number of variables that is not above.
value : value of metrics.
Attributes of overview class is as follows.:
duplicated : the index of duplicated observations.
na_col : the data type of predictor to replace missing value.
info_class : data.frame. variable name and class name that describe the data type of variables.
data.frame has a two variables.
variable : variable names
class : data type
a data.frame or a tbl_df
.
overview() creates an overview class. The `overview` class includes general information such as the size of the data, the degree of missing values, and the data types of variables.
summary.overview
, plot.overview
.
# \donttest{
ov <- overview(jobchange)
ov
summary(ov)
plot(ov)
# }
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