Critical Thinking: To use the deletion method for cleaning outliers and missing values, we need to delete the entire row of data with which the outlier or missing value is associated, what are the downsides to using this cleaning method. Used the visual below to help with you through process

Question $13$ options:

If there are too many missing values or errors in the dataset, deletion would drastically reduce the number of observational units we are able to analyze and possibly bias our analysis.

In order the clean that ONE missing or erroneous value associated with a single variable, we would lose all the valuable information for the other variables in that row.

There are no downsides to this method of cleaning. It is actually best because any imputation with be a random guess.