All the reasons why we have to do data cleansing

1. It makes the researched data has a lot of qualities. The kind of data is qualitative data collected by questionnaire. It might have some errors in many ways. For example, some people didn’t answer the question or the interviewer forgot to ask this question or even something wrong when typing the data through the program. But all of these errors would be removed by the cleansing process.
2. This can add more values to the data as the data from the cleansing process will have another new pattern of format which replaced all missing values already. This is the standard that the researchers around the world agreed together because these data will be ready for the data mining process, next.
3. From the cleansing process, we will have the conclusion about the error that would happen for data. This might help us to improve the research tools and all techniques in data collecting for having the better data with quality. Also, this could decrease some errors that might happen.