I have a huge amount of data derived from replicated simulations. If I plot a frequency chart I have a distribution that looks like a poisson or an inverse distribution. The highest value (the mode) falls on zero. Because the distribution is not normalised, I need to transform my data so I can have a normalised distribution. I tried all variants of square roots, logarithms, arcisins... but the distribution remains not normalised because of the high frequency of the zeroes.

Do you have any idea on how can I transform my data to normalise them?

Many Thanks

pitto