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Define Data cleaning in preliminary data analysis
Data cleaning focuses on error detection and consistency checks and treatment of missing responses. First step in the data cleaning process is to check every variable for data that are out of the range or as otherwise known as logically inconsistent data. Such data should be corrected as they can hamper overall analysis process. Most advance statistical packages provide an output relating to such inconsistent data. Inconsistent data should be closely examined as sometimes they might not be inconsistent and be representing legitimate response.
This is caused when the information gathered is different from the information sought. For example respondents are asked to indicate whether they own a color television set,. Some
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Discuss importance of data cleaning in preliminary data analysis In most surveys, it takes place so that respondent has either provided ambiguous response or response has bee
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