With a specific emphasis on dealing with missing values, in this video I demonstrate how I utilise Python to analyse the data for South African 5-day test cricket players from 1991 to 2023. Throughout the tutorial, I provide several approaches for identifying and handling missing data, including techniques such as imputation, deletion, and location-based replacement. By implementing these strategies effectively, you will learn how to mitigate the impact of missing values on your analysis and ensure the accuracy of your insights. This video is part of a masterclass series of 10 videos where I do the data preprocessing and exploratory data analysis (EDA) for South African test playing cricketers – join me in getting to know the data better!