Cleanse the data to prepare it for analysis. This typically will involve purging copy and anomalous data, reconciling inconsistencies, standardizing data construction and structure, and handling white Areas along with other syntax mistakes. The units of data measurement keep on to mature as the amount of data collected and stored grows. The rela