Final answer:
Pre-processing deals with the qualities of data quality, such as completeness, consistency, accuracy, and uniformity.
Step-by-step explanation:
Pre-processing deals with the qualities of data quality in order to improve the accuracy and usefulness of the data. The qualities of data quality that pre-processing deals with include:
- Completeness: Pre-processing aims to fill in missing values in the data set by using various techniques such as mean, median, or mode imputation.
- Consistency: Pre-processing identifies and resolves inconsistencies in the data set, such as spelling errors or contradictory information.
- Accuracy: Pre-processing focuses on identifying and correcting any inaccuracies in the data set, such as outliers or data entry errors.
- Uniformity: Pre-processing aims to make sure that the data is in a consistent format, such as converting all dates to the same format.
By addressing these qualities, pre-processing helps to ensure that the data used for analysis or other purposes is reliable and of high quality.