Create standardized log rows from updated sheet entries

Inconsistent timestamps in your spreadsheet rows corrupt time-series features and slow analysis handoffs. This creates normalized log rows so analysts can trust time fields and run models the same day.

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Overview

Manual timestamp formats force analysts into repetitive cleanup and delay model experiments; this flow standardizes timestamps and appends audit rows so data scientists get reliable inputs. Expect clean, analysis-ready time fields within minutes of row edits.