Statistics FAQ

What kind of problem is Statistics best for?

Statistics is best when the primary task is to calculate summary metrics for a dataset.

If the main question is "what do these numbers show?", Statistics is usually a strong fit.

What measures can Statistics help with?

Statistics is useful for measures such as counts, totals, averages, minimums, maximums, ranges, and grouped summaries.

Should I clean data before calculating statistics?

Clean first if inconsistent values would affect grouping or numeric interpretation.

For example, inconsistent region names can split one group into several groups, and numeric fields stored as text may produce unreliable results.

Should I deduplicate before calculating totals?

Deduplicate first if repeated records would inflate counts, totals, or averages.

The right order depends on the business question and the condition of the source data.

Can Statistics be used after other WebHammers Tools?

Yes. Statistics is often useful after cleaning, filtering, joining, splitting, or deduplicating because it can help confirm that the output looks reasonable.

What should I review after a run?

Review totals, counts, grouped results, outliers, blanks, zeros, and any differences from expected or prior results.

What if a number looks surprising?

Investigate the source Records before relying on the summary.

Surprising results can come from source-data issues, duplicate records, missing filters, unexpected blanks, or grouping values that need standardization.

When should I use another Tool first?

Use another Tool first when the data needs to be cleaned, deduplicated, joined, filtered, or split before the summary scope is correct.