Quick guide
How to use this calculator
- Enter the observations, probabilities, model parameters, or summary statistics requested by the visible labels.
- Keep every value on the same scale and confirm that the selected sampling relationship, distribution, and tail convention match the question you are investigating.
- Read the result together with its assumptions and interpretation. Statistical output summarizes uncertainty under a model; it does not repair biased data or establish causation.
Calculation method
How the categorical data summary calculator works
Category proportion = category count / total nonblank observations.
Frequency and mode summarize nominal data, but category labels do not create a meaningful arithmetic order or distance.
Worked example
Categorical Data Summary example
Red, blue, red produces counts of red=2 and blue=1, so red represents two thirds of the observations.
Category proportion = category count / total nonblank observations.
Supported inputs
Precision and limits
Model and design
Separate categories with commas, semicolons, tabs, or line breaks. Matching is trimmed but case-sensitive, and at most 200 categories are displayed.
Input scope
Category lists accept up to 10,000 nonblank observations and render up to 200 distinct labels. Matching trims outer whitespace but remains case-sensitive; no numeric ordering or distance is inferred.
Interpretation
Frequency and mode summarize nominal data, but category labels do not create a meaningful arithmetic order or distance.
Decision boundary
The calculator does not validate how data were collected, diagnose dependence or bias, choose a scientifically meaningful effect, or replace review by a qualified statistician for consequential research, medical, regulatory, safety, or policy decisions.
Privacy
Entered values and calculated results stay in this browser and are not sent to an analytics service.
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