DataWhisperer solution

Review the analysis code

“How was this result calculated, and which values were included?”

Situation

Before sharing an answer or table, inspect how its calculation used values, groups, and missing data.

How to get there

Open a supported answer or table on Max
Expand the Python code where supplied
Check its inputs, grouping, and calculation assumptions

What you get

Python behind supported results where supplied
Calculation steps to inspect and optionally reuse in your own Python environment

On Max, inspect the Python behind supported answers or tables where code is supplied. Review the inputs, grouping, calculations, and treatment of missing values.

Why DataWhisperer?

Inspect how the percentage was worked out.

The denominator matters when a rating column contains blanks.

See the supplied calculation

On Max, inspect Python where supplied for supported answers or tables, including the nonblank base.

Check the inputs for yourself

Check ratings and denominator against the file; optionally run or adapt Python in your own environment.

Example

Python code opened in ~1 sec

Representative 48-row sample estimate, not a timed action in this preview. File size and task vary; loading and display affect total elapsed time; not a browser completion guarantee. Saved-code retrieval and local display only, not browser paint; human review time is not included.

What share of valid confidence scores are 4 or 5, and how was it calculated?

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