datapreprosessering
Datapreprosessering is the process of preparing and transforming data from its raw or initial form into a more suitable format for analysis, modeling, or other uses. This involves cleaning, transforming, and modifying the data to remove errors, inconsistencies, and irrelevant information. The goal of datapreprosessering is to prepare the data for further processing and to ensure its accuracy, completeness, and consistency.
Datapreprosessering typically involves several steps, including data cleaning, which involves identifying and correcting errors, inconsistencies, and
The importance of datapreprosessering lies in its ability to improve the quality of data and reduce the
In various industries, including finance, healthcare, and marketing, datapreprosessering is a crucial step in the data