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Analyze another fileGroups data by categorical columns and computes aggregations on numeric columns. Produces pivot tables, grouped bar charts, treemaps, cross-tabulations, and Pareto analysis. Works with any tabular dataset.
Use this when you need pivot table & data summary on your data.
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Built for: Analyst, data scientist, business user
Typical data source: CSV with relevant columns
Groups data by categorical columns and computes aggregations on numeric columns. Produces pivot tables, grouped bar charts, treemaps, cross-tabulations, and Pareto analysis. Works with any tabular dataset.
Aggregated statistics by primary grouping
Cross-tabulation of primary and secondary dimensions
Hierarchical view of groups and sub-groups
Highest and lowest performing groups
Frequency counts across two categorical dimensions
Values over time by group
Identifying the vital few groups that drive the majority of value
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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