Python for Data Analysis: Step-By-Step with Projects - Handling Outliers (2)

Python for Data Analysis: Step-By-Step with Projects - Handling Outliers (2)

Assessment

Interactive Video

Information Technology (IT), Architecture, Mathematics

University

Hard

Created by

Quizizz Content

FREE Resource

The video tutorial explains the concept of box plots, focusing on their components like quartiles and interquartile range (IQR). It details how to identify outliers using these statistical tools and provides methods to calculate quartiles and IQR using pandas. The tutorial also discusses strategies for handling outliers, such as capping or flooring extreme values, and emphasizes the importance of understanding data distribution for effective analysis.

Read more

1 questions

Show all answers

1.

OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

Evaluate responses using AI:

OFF