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[Music] hi guys today we are going to learn about log transformation now what log transformation basically means is we take a series or a data set and then we convert it into the log of that data set or series so for relation you can see the graph that if theres any data center series like this y is equal to X then log of this would form like this right the main motive of this is that it really compresses the values so for say if you have values like 10 and 10,000 then log of 10,000 to the base 10 would be just four and log of 10 to the base 10 would just be 1 so now the our range is restricted between 1 and 4 whereas before it was restricted between 10 and 10,000 so if theres any skewed data like this it can be very much converted into the normal distribution like this with a very less range right so this is very essential in handling skewness of any data set also when you magnify it like this when you compress the values like this how it decreases the effect of the outliers due to