Practical Data Science using Python - EDA Project - 2

The video tutorial covers the use of box plots and quantile functions to analyze loan and income data. It explains how to interpret box plots, handle outliers, and perform exploratory data analysis (EDA). The tutorial also discusses univariate analysis of loan amounts and interest rates, highlighting the importance of understanding data distribution and patterns.

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