Data Analysis and Visualization with Python - Outlier, IQR, Box Plot
IQR is a technique that can be used to detect and remove outliers. The formula for IQR is very simple. IQR = Q3-Q1. Where Q3 is 75th percentile and Q1 is 25th percentile. Once we have IQR we will be able to find upper and lower limit by using the below formula
lower limit = Q1 - 1.5 * IQR
upper limit = Q3 + 1.5 * IQR
Any value less than the lower limit or above the upper limit is considered an outlier.
We will use python coding to depict the concept of outliers using box plots for both univariate & multivariate datasets.
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