Data cleaning, also known as data cleansing, is the process of correcting and restructuring data to make it more usable, consistent, and accurate. The goal is to prepare data for analysis and visualization, and to ensure reliable decision making. Data cleaning can involve removing errors, inconsistencies, and irrelevant data, and standardizing dates, addresses, and capitalization.
