Find the z-score
Now that you know the spread of heights from the survey, you want to dig further into the survey.
Remember, part of survey, young_people, asked for respondents' Gender, Age, Height, and Weight.
In this exercise, you will find outliers in the height column.
pandas and scipy.stats have been loaded for you as pd and stats, respectively.
This exercise is part of the course
Analyzing Survey Data in Python
Exercise instructions
- Find the z-score of the
Heightcolumn. - Find the outliers in
Height_zscorefor this survey.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# z-score of `Height` column
young_people['Height_zscore'] = ____.____(young_people.____)
# Outliers in `Height_zscore`
height_outliers = young_people[
(young_people.____>=____)
|(young_people.____<=____)
]
print(height_outliers)