Difference between revisions of "Data Cleaning"
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Data cleaning is an essential step between data collection and data analysis. The aim is to (i) identify data errors, (ii) correct errors, and (iii) improve data collection process. | |||
Revision as of 20:44, 7 February 2017
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Data cleaning is an essential step between data collection and data analysis. The aim is to (i) identify data errors, (ii) correct errors, and (iii) improve data collection process.
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Data cleaning is an essential step between data collection and data analysis. The aim is to (i) identify data errors, (ii) correct errors, and (iii) improve data collection process.
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