Final answer:
The phase in which the analyst deals with fixing improperly formatted values, dealing with duplicates, missing data, and outliers, as well as data reduction, is Data Cleaning and Preprocessing.
Step-by-step explanation:
The phase in which the analyst deals with fixing improperly formatted values, dealing with duplicates, missing data, and outliers, as well as data reduction, is Data Cleaning and Preprocessing. In this phase, the analyst identifies and resolves any issues with the data to ensure its quality and reliability for analysis. For example, if there are improperly formatted values, the analyst may standardize the format to ensure consistency. If there are duplicates, the analyst may remove or merge them. If there is missing data, the analyst may impute or delete the missing values. And if there are outliers, the analyst may investigate their causes and decide whether to remove or keep them based on their significanc