Some examples within this dataset include:

- Sample A: [10,1]
- Sample B: [10,1,1]
- Sample C: [4,4,3,2,2]

I first thought of the Gini coefficient, which is precisely about distribution and gives values between 0-1. However it seems the Gini has a 'small-sample bias' that limits its use here, where each of the datapoints have between 1 and c.10 values.

I then considered the coefficient of variance, however given results can go higher than 1 this also isn't well suited to this problem.

Any pointers would be greatly appreciated!