Question: (LO 2-3) In the ETL process, one important step to process when transforming the data is to work with null, n/a, and zero values in

(LO 2-3) In the ETL process, one important step to process when transforming the data is to work with null, n/a, and zero values in the dataset. If you have a field of quantitative data (e.g., number of years each individual in the table has held a full-time job), what would be the effect of the following?

a. Transforming null and n/a values into blanks

b. Transforming null and n/a values into zeroes

c. Deleting records that have null and n/a values from your dataset (Hint: Think about the impact on different aggregate functions, such as COUNT and AVERAGE.)

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