DATA CLEANING - ACAPS

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+ data CLEANING April 2016 Dealing with messy data Table of Contents Introduction ........................................ .................................. 0 A. The data CLEANING Process ........................................ .. 0 B. Sources of Error ........................................ ...................... 1 C. First Things First ........................................ .................... 2 D. Screening data ........................................ ....................... 2 E. Diagnosing data ........................................ ..................... 4 F. Treatment of data ........................................ .................. 4 G. Missing Values ........................................ ....................... 5 H. Documenting Changes ........................................ ......... 6 I. Adapt Process.

Similarly, and under time pressure, consider the diminishing marginal utility of cleaning more and more compared to other demanding tasks such as analysis, visual display and interpretation. Understand when and how errors are produced during the data collection and workflow. Resources for data cleaning are limited.

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