The IQR of a set of values is calculated as the difference between the upper and lower quartiles, Q3 and Q1. Each quartile is a median calculated as follows : Given an even 2n or odd 2n+1 number of ...

Learn what the IQR method is, how it works, and how to apply it in Python. Find out the advantages and disadvantages of using the IQR method for outlier removal.

This notebook utilizes the following key Python libraries and techniques: Data Manipulation with pandas: Creating, structuring, and manipulating datasets using Pandas DataFrames.; Numerical Operations ...

Finally, we calculate IQR: IQR = Q3 – Q1 = 12 – 4 = 8. In this case, the IQR is 8. This tells us that the central half of this dataset falls between the values of 4 and 12. In conclusion, calculating ...