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

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.

How can we visualize the distribution of data using box plots?

What is the significance of the whiskers in a box plot?

How does the concept of quantiles relate to percentiles?

What steps can be taken to handle outliers in data analysis?