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If a large number of missing values are found during data preprocessing, what should be done first?
①Delete all rows with missing values.
②Investigate the occurrence patterns and causes of defects.
③Immediately perform a bulk completion using the mean.
④Ignore missing values when feeding data into the model.
⑤One-hot encode all categorical variables.