Data Quality Assessment: Value and Pattern Frequency

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By David Loshin

Once we have started our data quality assessment process by performing column value analysis, we can reach out beyond the scope of the types of null value analysis we discussed in the previous blog post. Since our column analysis effectively tallies the number of each value that appears in the column, we can use this frequency distribution of values to identify additional potential data flaws by considering a number of different aspects of value frequency (as well as lexicographic ordering), including:

  • Range Analysis, which looks at the values, and allows the analyst to consider whether they can be ordered so as to determine whether the values are constrained within a well-defined range.
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