Question: 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.

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

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