As we know, to convert right skewed data into symmetry we have to transform using log. I tried the same in R (code as below) for some sample data in order to understand the shape coverts from right skewed data to normal distribution or not.
y<-c(2,2,2,2.5,3,2,100,120) hist(y) y<-log(y) y  0.6931472 0.6931472 0.6931472 0.9162907 1.0986123 0.6931472 4.6051702 4.7874917 hist(y)
as you see 100 and 120 makes the above data set into right skewed in untransformed data histogram figure
I take log of these data in order to make them normally distributed , after taking log the histogram does not seem to me normally distributed it looks me weird , is it due to lack of data or I am missing something
Thanks in advance