Data cleaning and validation are important steps in any data analysis. as the validity of the conclusions from the analysis hinges on the quality of the input data. Mistakes in the data can arise for any number of reasons. including erroneous codings. https://tngdcyfeeygmdb.nizarblog.com/35077835/impulsive-buying-behaviour-in-live-streaming-commerce-an-application-of-s-o-r-theory