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.
Deze oefening maakt deel uit van de cursus
Analyzing Survey Data in Python
Oefeninstructies
- Find the z-score of the
Heightcolumn. - Find the outliers in
Height_zscorefor this survey.
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# 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)