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Data Tables

In OMNI, use data tables when users need structured, auditable outputs instead of prose-only summaries.

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When To Use

• Multi-asset comparisons
• Factor contribution matrices
• Portfolio model scorecards
• Event timeline summaries

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Table Guidance

• Keep column names explicit and stable
• Prefer typed values over decorated strings
• Include units (%, bps, USD) in header or legend

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Common Patterns

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Symbol comparison table

Columns:

• Symbol
• Return windows (1D, 1M, YTD)
• Valuation metric(s)
• Event signal count

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Factor decomposition table

Columns:

• Factor
• Beta / weighted beta
• Contribution (bps)
• Statistical confidence proxy

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Tooling Tip

When results are large or computed, use python_run to transform inputs into concise final tables.