Posted: June 26th, 2022
Choose the data that will be used to analyze.
Relevance to data mining goals, data quality, and technical constraints like data volume limits or data types limitations are all important.
Reducing the quality of the data to meet the requirements of the chosen analysis techniques.
This could include selecting clean subsets of data, insertion of appropriate defaults or more ambitious techniques like modeling to estimate missing data.
Define the actions and decisions taken to fix the data quality issues that were reported during the VerifyData Quality Task.
You should also mention any data quality problems that remain.
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