Data Preparation: Raw data is inherently messy and needs cleansing and pre-processing ahead of Examination. This stage requires responsibilities like determining and handling missing values, correcting inconsistencies, formatting data right into a reliable construction, and most likely taking away outliers.많은 기종과 가까운 위치에 있�