For this portion of the project, you will examine your dataset for incorrect data. Any incorrect data should be removed, corrected, or imputed. Follow these steps: Remove irrelevant data. If you are unsure if it is irrelevant, then keep it. Remove duplicate records that are repeated. Make sure numbers are interpreted as numerical data types. Fix typos. Standardize. Investigate outliers. Check and manage missing values. Format and normalize data if needed. Change categorical values into numbers if needed. Once you have completed this, you will need to provide a Word document summarizing the pre-processing steps performed on your dataset.