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
Height
column. - Find the outliers in
Height_zscore
for 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)