When to use this
Use this for rapid descriptive exploration, respondent profiling, subgroup comparisons, presentation-ready charts, and research tables before or alongside formal statistical procedures.
Why it matters
A shared filter context keeps respondent counts, charts, and tables aligned while explicit denominators prevent ambiguous percentage reporting.
Step-by-step instructions
1. Open Statistical Analysis and choose Explore and Visualise.
2. Confirm the project and immutable dataset version.
3. Add up to four global respondent filters and verify the matching count.
4. Review the automatic overview or choose variables in the Chart builder.
5. Use Tables and crosstabs to assign rows, columns, an optional nested column, values, totals, and missing-data handling.
6. Save a view when you want a recalculable configuration.
7. Save an immutable output or add it to a Results Notebook when you need report evidence.
8. Export CSV, Excel, HTML, editable Word, or PDF and inspect the stated denominator and source checksum.
Expected outputs
Theme-aware interactive charts, count and percentage crosstabs with optional nested headers, grouped numeric summaries, saved configurations, immutable notebook evidence, and editable or publication-oriented exports.
How to interpret the results
Counts describe observed respondents. Row percentages compare across columns within each row; column percentages compare rows within each column; overall percentages use the displayed table N; valid percentages exclude missing table dimensions as stated below the table.
Common mistakes
Do not compare outputs from different project or version contexts, mix percentage denominators, treat filtered descriptive differences as causal effects, or cite a recalculable saved view as immutable evidence.
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