@procDecorator.proc_decorator({})<EOL><INDENT>def univariate(self, data: ['<STR_LIT>', str] = None,<EOL>by: [str, list] = None,<EOL>cdfplot: str = None,<EOL>cls: [str, list] = None,<EOL>freq: str = None,<EOL>histogram: str = None,<EOL>id: [str, list] = None,<EOL>inset: str = None,<EOL>output: [str, bool, '<STR_LIT>'] = None,<EOL>ppplot: str = None,<EOL>probplot: str = None,<EOL>qqplot: str = None,<EOL>var: str = None,<EOL>weight: str = None,<EOL>procopts: str = None,<EOL>stmtpassthrough: str = None,<EOL>**kwargs: dict) -> '<STR_LIT>':<DEDENT>
Python method to call the UNIVARIATE procedure

Documentation link:
https://go.documentation.sas.com/?cdcId=pgmsascdc&cdcVersion=9.4_3.4&docsetId=procstat&docsetTarget=procstat_univariate_syntax.htm&locale=en

The PROC UNIVARIATE statement invokes the procedure. The VAR statement specifies the numeric variables to be analyzed, and it is required if the OUTPUT statement is used to save summary statistics in an output data set. If you do not use the VAR statement, all numeric variables in the data set are analyzed. The plot statements (CDFPLOT, HISTOGRAM, PPPLOT, PROBPLOT, and QQPLOT) create graphical displays, and the INSET statement enhances these displays by adding a table of summary statistics directly on the graph. You can specify one or more of each of the plot statements, the INSET statement, and the OUTPUT statement. If you use a VAR statement, the variables listed in a plot statement must be a subset of the variables listed in the VAR statement.

You can specify a BY statement to obtain separate analyses for each BY group. The FREQ statement specifies a variable whose values provide the frequency for each observation. The ID statement specifies one or more variables to identify the extreme observations. The WEIGHT statement specifies a variable whose values are used to weight certain statistics.

You can use a CLASS statement to specify one or two variables that group the data into classification levels. The analysis is carried out for each combination of levels in the input data set, or within each BY group if you also specify a BY statement. You can use the CLASS statement with plot statements to create comparative displays, in which each cell contains a plot for one combination of classification levels.

:param data: SASdata object or string. This parameter is required.
:parm by: The by variable can be a string or list type.
:parm cdfplot: The cdfplot variable can only be a string type.
:parm cls: The cls variable can be a string or list type. It refers to the categorical, or nominal variables.
:parm freq: The freq variable can only be a string type.
:parm histogram: The histogram variable can only be a string type.
:parm id: The id variable can be a string or list type.
:parm inset: The inset variable can only be a string type.
:parm output: The output variable can be a string, boolean or SASdata type. The member name for a boolean is "_output".
:parm ppplot: The ppplot variable can only be a string type.
:parm probplot: The probplot variable can only be a string type.
:parm qqplot: The qqplot variable can only be a string type.
:parm var: The var variable can only be a string type.
:parm weight: The weight variable can only be a string type.
:parm procopts: The procopts variable is a generic option available for advanced use. It can only be a string type.
:parm stmtpassthrough: The stmtpassthrough variable is a generic option available for advanced use. It can only be a string type.
:return: SAS Result Object