its used between given data
Advantages over what? For what? Generally linear interpolation is done because one infers that the relationship between points is linear and/or it is the the easiest kind of interpolation. In the absence of data or theory to help you infer the relationship between points the principle of parsimony suggest that use the simplest that gets the job done - linear.
The noun interpolation (determine by comparison) has a normal plural, interpolations.
The interpolation factor is simply the ratio of the output rate to the input
Both, interpolation and extrapolation are used to predict, or estimate, the value of one variable when the value (or values) of other variable (or variables) is known. This is done by extending evaluating the underlying function. For interpolation, the point in question is within the domain of the observed values (there are observations for greater and for smaller values of the variables) wheres for extrapolation the point in question is outside the domain.
A similar song to 'Bucky Done Gun' by M.I.A. is 'Gonna Fly Now.' The former song contains an interpolation of the latter.
interpolation theorem, discovered by Józef Marcinkiewicz
An ogive is a cumulative relative frequency diagram. Interpolation is definiting the midpoint (50%) of this line
Interpolation tries to predict where something should be based on previous data, movements or a theory.
spatial interpolation is used in cartography to obtain a 'best guess' value for missing vaues on a map
interpolation, because we are predicting from data in the range used to create the least-squares line.
Scholars associate the interpolation of tropes with the beginning of polyphonic music.
The results are more reliable for interpolation .