Define the following terms: Median, Standard Deviation and variance.

Q. Define the following terms: Median, Standard Deviation and variance.

Answer :-

The median() function :-

Function median() returns the middle number from a set of numbers. It returns the median value that separates the higher half from the lower half of a set of values. The syntax for using the function median() is:

<dataframe>.median (axis = None, skipna = None, numeric_only = None)
The median() returns the median of the values for the requested axis.

The std() Function:-

The std() function computes the standard deviation over requested axis.
The syntax for using the std() function is:

<dataframe>.std (axis = None, skipna = None, numeric_only = None,)

Parameters:-
axis :- {index (0), columns (1)} default 0
skipna :- boolean, default True; Exclude NA/null/NaN values. If an entire row/column is NA, the result will be NA
numeric_only :- boolean, default None; Include only float, int, boolean columns. If None, will attempt to use everything, than use only numeric data.

The var() Function :-

The var() function computes variance and returns the unbiased variance over the requested axis. The syntax for using the var() function is:

<dataframe>.var (axis = None, skipna = None, numeric_only = None,)

Parameters :-
axis :- (index (0), columns (1)) default 0
skipna :- boolean, default True; Exclude NA/null values. If an entire row/column is NA, the result will be NA
numeric_only :- boolean, default None; Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data.