Creating dummies from a many-categories variable
Given is a basetable with one predictive variable "country". Make sure that "country" can be used as a predictive variable in a logistic regression model by creating dummy variables for it.
This exercise is part of the course
Intermediate Predictive Analytics in Python
Exercise instructions
- Create a pandas dataframe
dummies_countrythat has the dummy variables for "country". Make sure you avoid multicollinearity. - Add these dummies to the original
basetable. - Remove the original variable "country" from the
basetable.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create the dummy variable
dummies_country = ____.____(____["____"], ____=____)
# Add the dummy variable to the basetable
basetable = ____.____([____, ____], ____=____)
# Delete the original variable from the basetable
____ ____["____"]
print(basetable.head())