Variance is used to calculate how much individual data points differ from the mean (average) of the dataset.
A larger variance indicates that the data points are more spread out from the mean, while a smaller variance indicates that the data points are closer to the mean.
In practice, the primary measure used to assess the spread or variability of data is the standard deviation.
There is no mandatory need to calculate the variance unless you specifically require it for a particular statistical analysis.