https://medium.com/@kyawsawhtoon/log-transformation-purpose-and-interpretation-9444b4b049c9
Before we get into log transformation, let’s quickly talk about normal distribution. Normal distribution is a probability and statistical concept widely used in scientific studies for its many benefits. Just to name a few of these benefits— normal distribution is simple. Its mean, median and mode have the same value and it can be defined with just two parameters: mean and variance. It also has important mathematical implications such as the Central Limit Theorem.
Unfortunately, our real-life datasets do not always follow the normal distribution. They are often so skewed making the results of our statistical analyses invalid. That’s where Log Transformation comes in.
When our original continuous data do not follow the bell curve, we can log transform this data to make it as “normal” as possible so that the statistical analysis results from this data become more valid.
poisson distribution
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