Data Preparation: Raw data is inherently messy and involves cleaning and pre-processing in advance of analysis. This stage requires duties like determining and handling missing values, correcting inconsistencies, formatting data into a dependable composition, and possibly eradicating outliers.Data cleansing, generally known as data cleaning or data