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Running survey response categorical analysis analysis...
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Analyze another fileAnalyze survey responses with frequency tables, cross-tabulations, and chi-square independence tests.
Use this when you need survey analysis on your data.
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Built for: Analyst, data scientist, business user
Typical data source: CSV with relevant columns
Data for survey analysis
Minimum 10 rows · Best with 100-5000 rows
Analyze survey responses with categorical variables through frequency tables, cross-tabulations, chi-square independence tests, grouped comparisons with ANOVA, and association strength metrics (Cramer's V) to identify significant patterns and relationships.
Distribution of numeric target variables
Pairwise correlations between numeric targets
Frequency of each category across categorical variables
Chi-square tests and Cramer's V for all categorical pairs
Mean scores across subjects by group
Score distributions by categorical group
One-way ANOVA for each categorical factor vs numeric targets
Tukey HSD pairwise comparisons for significant ANOVA factors
Strength of association between all categorical pairs
Grade/tier distribution across demographic groups
Plain-English interpretation — what the numbers mean, what's significant, and what to do next.
See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.
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