Square root transformation
In the video you learned that the logarithmic function can be used to flatten out differences between values. An alternative for the logarithmic function is the square root: this function will also flatten out differences between values but the effect is slightly weaker.
Given is a very small basetable with population 4 donors and the predictive variable "donations" that has the total amount of donations last year. In this exercise you will add the logarithmic and square root transformation to this basetable and compare the effect of both transformations.
This exercise is part of the course
Intermediate Predictive Analytics in Python
Exercise instructions
- Add the log transformation of the variable "donations" to the
basetable. - Add the square root transformation of the variable "donations" to the
basetable. - Print the basetable with these added features.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Add the log transformation of the variable "donations"
basetable["donations_log"] = ____.____(____["____"])
# Add the square root transformation of the variable "donations"
basetable["donations_sqrt"] = ____.____(____["____"])
# Compare the transformations
___