Here is what the box plot would look like. You can use the following code to print different plots such as box and distribution plots. Plots such as box plots and distribution plots come very handily in deciding which techniques to use. The goal is to find out which is a better measure of the central tendency of data and use that value for replacing missing values appropriately. In this post, the central tendency measure such as mean, median, or mode is considered for imputation. One of the key points is to decide which technique out of the above-mentioned imputation techniques to use to get the most effective value for the missing values. How to decide which imputation technique to use? For categorical features, which of the following technique can be used?.For skewed data distribution, which of the following technique (s) can be used?. ![]()
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