Advanced Pivot Analysis
The shared Pivot Builder supports hierarchical row and column dimensions, multiple aggregate or formula measures, scoped filters, totals, Top N, sorting and conditional formatting.
What this feature delivers
Pivot analysis gives users a controlled cross-tab workspace for questions that are too detailed for a single chart. The same versioned Pivot specification works in Dashboard Manager, saved dashboard edit mode and Dynamic Dashboard edit mode.
Hierarchical layout
Order multiple row and column dimensions, apply date grains and control initial expansion, subtotals and grand totals.
Measures and formulas
Combine sum, average, count, distinct count, min and max with safe formula measures, percentages, running totals, differences and rank.
Presentation and interaction
Use Top N, number formats, thresholds, color scales and data bars while keeping leading row labels pinned during horizontal scrolling.
Use case
These steps show the need this feature solves for a real team and how it moves analysis closer to action.
Build the layout
Drag searchable fields into rows, columns, measures and filters.
Refine the analysis
Set sorting, time grain, calculations, totals, Top N and conditional formats.
Validate in context
Review the live preview, dashboard interactions, mobile layout and export width before saving.
One Pivot contract across dashboard editors
Focused manual or AI edits preserve unrelated Pivot settings, while validation checks field names, measure references, filters and preview budgets.
Who is this feature for?
Analysts and operational teams can build detailed cross-tab comparisons without custom SQL, while dashboard designers keep layout and export behavior controlled.
Does it work with other LivChart workflows?
Yes. The same builder and Pivot specification are used in Dashboard Manager, personal dashboard editing, Dynamic Dashboards and Dashboard Chat updates.
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