Add date explorers and converters for forecasting preparation - #865
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Time index audit, correlogram and seasonal decomposition on the explorer side; calendar features and resampling
cristian-tamblay
approved these changes
Sep 8, 2026
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Summary
Introduces a new time series auditing explorer and integrates time series utilities into the initial component registry. The main goal is to automatically assess whether a date column is suitable for forecasting and provide additional tools for time series feature engineering and analysis.
Explorers added
Converters added
Type of Change
Check all that apply like this [x]:
Changes (by file)
DashAI/back/exploration/explorers/time_index_audit.py: AddedTimeIndexAuditExplorerto audit date columns for gaps, repeated dates, irregular time intervals, and forecasting readiness.DashAI/back/initial_components.py: RegisteredTimeIndexAuditExplorer,AutocorrelationExplorer, andSeasonalDecompositionExplorer.DashAI/back/initial_components.py: RegisteredDateFeaturesConverterandTimeResamplerConverterfor time series feature engineering and resampling.