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.
Questo esercizio fa parte del corso
Analyzing Survey Data in Python
Istruzioni dell'esercizio
- Find the z-score of the
Heightcolumn. - Find the outliers in
Height_zscorefor this survey.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# 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)