Statistics examples
These examples show the kinds of business problems Statistics can help solve.
Example 1: Summarize invoice totals by vendor
An invoice file contains vendor names and invoice amounts.
Use Statistics to calculate total amount, count of invoices, average amount, minimum, and maximum by vendor.
Why Statistics fits
The task is to summarize numeric values by group, not change the individual records.
Example 2: Count cases by status and region
A support file contains case status and region fields.
Use Statistics to count records by status and region so leaders can understand workload distribution.
Why Statistics fits
The output is a grouped summary that helps explain the dataset.
Example 3: Review average processing time by team
An operations file contains processing duration and team owner.
Use Statistics to calculate average, minimum, and maximum processing time by team.
Why Statistics fits
The business question is about performance measures across groups.
Example 4: Check totals after filtering
A file is filtered to include only current-month transactions.
Use Statistics to confirm Record counts and total amount before sharing the output.
Why Statistics fits
Statistics can act as a review step after another WebHammers Tool changes the scope of the data.
Example 5: Identify unusual values
A payment file contains a few unusually high or low amounts.
Use Statistics to review minimums, maximums, averages, and totals so unusual values can be investigated.
Why Statistics fits
The summary helps reveal values that may deserve manual review.
Practical pattern
For each Statistics use case, define:
- the business question
- the numeric fields
- the grouping fields
- the summary measures
- what results would be surprising
If those pieces are clear, you are usually ready to build a Statistics configuration.