You are performing data profiling on a CRM table before it is loaded into the enterprise data warehouse. The CustomerPhone column contains values such as 555-123-4567, (555) 123-4567 and 5551234567. Business stakeholders want to know how many rows follow each phone-number format so they can decide whether to enforce a standard. Which single statistic produced by most profiling tools will MOST directly give you that information?
Average character length of values in CustomerPhone
Frequency distribution of detected patterns (format profile) for the column
Percentage of non-null values in the CustomerPhone column
Distinct-value (cardinality) count for CustomerPhone
A pattern (or format) frequency distribution lists every distinct pattern that appears in a column-such as ###-###-####, (###)###-#### or ##########-and reports how many rows match each pattern. That directly quantifies the degree of formatting inconsistency and is therefore the most useful output for deciding on a standardization rule.
The percentage of non-null values measures completeness, not formatting. The distinct-value (cardinality) count shows how many unique phone numbers exist but says nothing about how they are formatted. The average string length could hint at inconsistent formats but cannot show which specific patterns occur or how often, so it is less effective than a pattern distribution.
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