Data cleaning is identifying and cleaning up inaccuracies and inconsistencies in data. Inaccuracies can arise for various reasons, such as typos, incorrect values, missing values, and duplicates. Data cleaning is essential because it helps to ensure that data is accurate and reliable, which can be necessary for making sound business decisions. Inaccurate or inconsistent data can distort the results of data analysis and can be challenging to interpret. Identifying and correcting inaccurate or inconsistent data can improve data accuracy and make it easier to analyze. Keep reading to learn more about how does data cleaning work.
