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.
Este ejercicio forma parte del curso
Practicing Statistics Interview Questions in Python
Ejercicio interactivo práctico
Prueba este ejercicio completando el código de muestra.
# Calculate the mean and std
mean, std = ____, ____