What is Data Cleaning?

Data cleaning (or data cleansing) refers to the preparation or fixing of data through the removal or modification of incorrect, duplicated, or irrelevant data points. Typically this refers to editing individual data elements, or dimensions of the data (i.e. columns or rows), found within a larger database, table, or spreadsheet. The purpose of data cleaning is to make the analysis, organization, logging, or comprehension of the data easier.