Steven Sanderson fills in the blanks:
Interpolation is a method of estimating missing values based on the surrounding known values. It’s particularly useful when dealing with time series data or any dataset where the missing values are not randomly distributed.
There are various interpolation methods, but we’ll focus on linear interpolation in this article. Linear interpolation assumes a straight line between two known points and estimates the missing values along that line.
Read on to see how you can perform linear interpolation in R.