Data Preparing: Raw data is inherently messy and involves cleansing and pre-processing ahead of analysis. This stage requires tasks like identifying and managing lacking values, correcting inconsistencies, formatting data right into a reliable framework, and likely eradicating outliers.You will find six major object lessons with their respective fa