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.
Cet exercice fait partie du cours
Intermediate Predictive Analytics in Python
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.
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de 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
___