I have a variable called 'list_price' in my data ,which is not normally distributed.
Here is the screenshot of how the distribution looks like before transformation
Tried transforming it with the following transformations: 1.log 2.Sqrt 3.reciprocal 4.boxcox
None has resulted in normal distribution.Most of the transformations gave a skewed distribution after transformation. Would like to use this variable in modelling.
How would we proceed further in such scenarios? Should we go with original distribution itself?
Need some guidance on this