Normal distribution and QQ plot
The normal distribution is a theoretical model of data. Empirical data can be distributed more similarily or more dissimilarly to a normal distribution.

That empirical data has a couple of notable divergences from a theoretical normal distribution:


Presence of outliers
Not symmetric
Relative "peakedness"


Depending on your goal, you can pick a better model or transform the data to fit the normal distribution model. The power-law distribution might be a better model for the data. If you want to transform the data to better fit to a normal distribution, you can drop the outliers and then apply a log transformation.