Abstract
In the period of digital technology transformation, data truly plays an important role. Businesses that want to maintain and grow must flexibly change their business methods between offline and online. So the amount of data is increasing significantly. However, the data is only valuable when it has been cleaned. If data is not handled carefully, it will lead to problems such as link errors, model misspecification, errors in parameter estimation and wrong analysis leads to wrong conclusion. This article focuses on introducing the importances, benefits of data cleaning, data errors, as well as methods and techniques when processing data.
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