Identifying outliers
Let's keep at it with our laptops
dataset and tackle some outliers hiding away. In this exercise, we'll stick to the first technique we discussed in the slides using standard deviations to identify extreme values, since this method is more common in practice.
You'll compute the descriptive statistics and outlier boundaries, and then identify the rows with them before dropping them from the dataset. You'll be working primarily with the Price
column here.
Diese Übung ist Teil des Kurses
Practicing Statistics Interview Questions in Python
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
# Calculate the mean and std
mean, std = ____, ____