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Analyzes transformation throughput records (processed_rows, duration_seconds) by computing adjacent row changes and performing keyed dataset comparison across up to 200 rows in two independent reports.

Computes adjacent row changes and two-measure correlation for transformation throughput records (processed_rows, duration_seconds) on up to 200 supplied rows, returning two analytical reports.

Generates a Base-100 index series and fills missing values (zero, mean, or median) for transformation throughput records (processed_rows, duration_seconds) across up to 200 rows.

Computes a base-100 indexed series and a secondary-measure weighted mean for transformation throughput records (processed_rows, duration_seconds) using local analytical engines.

Computes a Base-100 index series and a two-measure correlation report for transformation throughput records containing processed_rows and duration_seconds fields.

Computes category frequency counts and a date-by-category pivot table for transformation throughput records (processed_rows, duration_seconds) — two analytical reports in one call for up to 200 rows.

Analyzes transformation throughput records by computing category frequency distributions and filtering numeric fields (processed_rows or duration_seconds) within a specified interval range, returning two analytical reports for up to 200 rows.

Computes category frequencies (by dataset_group) and numeric row ordering for transformation throughput records (processed_rows, duration_seconds) — up to 200 rows, two analytical reports per call.

Analyzes transformation throughput records (processed_rows, duration_seconds) to produce category frequency distributions by dataset group and a trailing moving-average time series for a chosen numeric field.

Pivots transformation throughput records (processed_rows, duration_seconds) by date and category, then fills missing values using zero, mean, or median strategies — returning two analytical reports for up to 200 rows.

Analyzes supplied transformation throughput records to produce two reports: a duplicate key report and an adjacent row changes report, for up to 200 rows.

Runs two local analytical reports on transformation throughput data: a duplicate key report and a date-by-category pivot, for up to 200 rows.

Analyzes up to 200 transformation throughput records to produce a duplicate key report and fill missing values in processed_rows or duration_seconds fields using zero, mean, or median imputation.

Analyzes transformation throughput records to produce a duplicate key report and numeric distribution (histogram) for processed_rows or duration_seconds fields, across up to 200 rows.

Analyzes transformation throughput records to generate a duplicate key report and a numeric interval filter report for processed_rows or duration_seconds fields, handling up to 200 rows.

Analyzes transformation throughput records to produce a duplicate key report and a trailing mean (rolling average) series for processed_rows or duration_seconds fields, up to 200 rows.

Analyzes up to 200 transformation throughput records to produce a duplicate key report and a Pearson/correlation analysis between processed_rows and duration_seconds.

Generates an equal-width histogram and an explicit missing-value fill report for transformation throughput records (processed_rows, duration_seconds) from up to 200 supplied rows.

Computes an equal-width histogram and a secondary-measure weighted mean for transformation throughput records (processed_rows, duration_seconds) from up to 200 supplied rows.

Deduplicates transformation throughput records and generates a Base-100 indexed time series for processed_rows or duration_seconds metrics, returning two analytical reports for up to 200 rows.

Deduplicates transformation throughput records by exact row match and computes a daily sum time series for processed_rows or duration_seconds fields, returning two analytical reports for up to 200 rows.

Deduplicates exact duplicate rows and pivots transformation throughput metrics (processed_rows or duration_seconds) by date and dataset_group category for up to 200 records.

Deduplicates transformation throughput records by exact row match and generates a duplicate key report for up to 200 rows of processed_rows and duration_seconds data.

Deduplicates exact-duplicate rows and fills missing values (processed_rows or duration_seconds) in transformation throughput records using zero, mean, or median imputation, returning 2 analytical reports.

Deduplicates exact rows and produces grouped numeric summaries for transformation throughput records containing processed_rows and duration_seconds fields.

Deduplicates transformation throughput records exactly by row and compares two keyed datasets, returning two analytical reports for up to 200 rows of processed_rows and duration_seconds data.

Deduplicates exact rows and filters by a numeric interval on transformation throughput records (processed_rows, duration_seconds) for up to 200 rows, returning 2 analytical reports.

Deduplicates transformation throughput records exactly and computes trailing mean series for processed_rows or duration_seconds fields across up to 200 rows.

Deduplicates exact rows and computes a correlation between processed_rows and duration_seconds for up to 200 transformation throughput records, returning two analytical reports.

Generates two statistical reports for transformation throughput data: a grouped numeric summary and category frequency breakdown for processed_rows or duration_seconds fields across dataset groups.

Generates two local analytical reports for transformation throughput data: a grouped numeric summary and a date-by-category pivot, for up to 200 rows of processed_rows and duration_seconds metrics.

Computes a grouped numeric summary and a keyed dataset comparison for transformation throughput records (processed_rows, duration_seconds) across up to 200 rows.

Computes a grouped numeric summary and numeric row ordering report for transformation throughput records (processed_rows, duration_seconds) from up to 200 supplied rows.

Detects IQR-based outliers and compares two keyed datasets of transformation throughput records (processed_rows, duration_seconds) for up to 200 rows, returning two independent analytical reports.

Analyzes transformation throughput records (processed_rows, duration_seconds) to produce IQR-based outlier flags and a secondary-measure weighted mean, delivered as two independent reports for up to 200 rows.

Analyzes transformation throughput records (processed_rows, duration_seconds) to flag IQR-based outliers and compute correlation between the two measures, returning two analytical reports for up to 200 rows.

Compares two keyed transformation-throughput datasets (processed_rows or duration_seconds) and fills in missing values, producing two analytical reports for up to 200 rows.

Computes numeric distribution statistics and category frequency counts for transformation throughput records (processed_rows and duration_seconds) across up to 200 rows.

Computes numeric distribution statistics and fills missing values (zero/mean/median) for transformation throughput records (processed_rows, duration_seconds) across up to 200 rows.

Computes a numeric distribution and a secondary-measure weighted mean for up to 200 transformation throughput records (processed_rows, duration_seconds) using local analytical engines.

Computes a numeric distribution report and a two-measure correlation report for transformation throughput records (processed_rows, duration_seconds) across up to 200 supplied rows.

Filters transformation throughput records by a numeric interval and detects adjacent row changes in processed_rows or duration_seconds, returning two analytical reports for up to 200 rows.

Filters transformation throughput records (processed_rows, duration_seconds) by a numeric interval and generates a daily sum time series from the supplied data.

Applies a numeric interval filter and a date-by-category pivot to up to 200 transformation throughput records (processed_rows, duration_seconds), returning two analytical reports.

Filters transformation throughput records by a numeric interval on one measure and computes a weighted mean on the secondary measure, delivering two analytical reports for up to 200 rows.

Filters transformation throughput records by a numeric interval and computes a trailing mean time series for processed_rows or duration_seconds fields across up to 200 rows.

Filters transformation throughput records by a numeric interval and computes a two-measure correlation between processed_rows and duration_seconds, returning two analytical reports for up to 200 rows.

Analyzes transformation throughput records by computing numeric row ordering and adjacent row changes for processed_rows or duration_seconds fields across up to 200 rows.

Analyzes transformation throughput records by producing two reports: a numeric row ordering of processed_rows or duration_seconds, and a date-by-category pivot table, for up to 200 supplied rows.

Analyzes transformation throughput records by producing a numeric row ordering report and an equal-width histogram for either processed_rows or duration_seconds fields.

Ranks transformation throughput records by processed_rows or duration_seconds and flags statistical outliers using the interquartile range (IQR) method, producing two analytical reports for up to 200 rows.

Orders transformation throughput records (processed_rows, duration_seconds) numerically and filters them by a numeric interval, delivering two analytical reports from supplied data.

Computes numeric row ordering and trailing mean series for transformation throughput records (processed_rows, duration_seconds) — up to 200 rows, two bundled analytical reports.

Ranks transformation throughput records by processed_rows or duration_seconds and computes the correlation between those two measures across up to 200 supplied rows.

Runs two local analytical reports on transformation throughput data: a record quality audit and category frequency analysis, for up to 200 rows of processed_rows and duration_seconds data.

Analyzes up to 200 transformation throughput records by producing two offline analytical reports: a record quality audit and a date-by-category pivot on processed_rows or duration_seconds.

Runs three local analytical reports — record quality audit, exact row deduplication, and category frequency analysis — on up to 200 transformation throughput records containing processed_rows and duration_seconds fields.

Runs three local analytical reports on transformation throughput records: record quality audit, exact row deduplication, and equal-width histogram — all in a single API call.

Runs three local analytical reports on transformation throughput records: a record quality audit, exact row deduplication, and a grouped numeric summary of processed_rows or duration_seconds.

Runs three independent analytical reports on transformation throughput records — record quality audit, exact row deduplication, and IQR-based outlier flagging — for up to 200 rows of processed_rows/duration_seconds data.

Runs three simultaneous analytical reports — record quality audit, exact row deduplication, and numeric distribution — on transformation throughput data (processed_rows, duration_seconds) for up to 200 rows.

Runs three local analytical reports on transformation throughput records: record quality audit, exact row deduplication, and numeric interval filter for processed_rows or duration_seconds fields.

Runs three local analytical reports on transformation throughput records (processed_rows, duration_seconds): record quality audit, exact row deduplication, and numeric row ordering — up to 200 rows per call.

Runs three local analytical reports on transformation throughput data (processed_rows, duration_seconds): data quality audit, exact duplicate row detection, and trailing moving average series.

Audits record quality and fills missing values (via zero, mean, or median) for transformation throughput records containing processed_rows and duration_seconds fields, returning 2 analytical reports for up to 200 rows.

Audits data quality and computes grouped numeric summaries for transformation throughput records containing processed_rows and duration_seconds fields, returning two analytical reports for up to 200 rows.

Audits record quality and compares two keyed datasets of transformation throughput metrics (processed_rows, duration_seconds) for up to 200 rows, producing two independent analytical reports.

Audits record quality and normalises strings in transformation throughput data (processed_rows, duration_seconds) for up to 200 rows, returning 2 analytical reports.

Runs three local analytical reports on transformation throughput records: record quality audit, string normalisation, and adjacent row change detection for up to 200 rows.

Runs three local analytical reports (record quality audit, string normalisation, and daily sum series) on up to 200 transformation throughput records containing processed_rows and duration_seconds fields.

Runs three analytical reports (record quality audit, string normalisation, and date-by-category pivot) on transformation throughput records containing processed_rows and duration_seconds fields, for up to 200 rows.

Audits data quality, normalises strings, and fills missing values for transformation throughput records (processed_rows, duration_seconds) across up to 200 rows, returning 3 independent analytical reports.

Audits data quality, normalises strings, and computes grouped numeric summaries for transformation throughput records (processed_rows, duration_seconds) across up to 200 rows in three independent reports.

Computes a secondary-measure weighted mean and a date-by-category pivot table for transformation throughput records (processed_rows, duration_seconds) supplied by the caller.

Computes a secondary-measure weighted mean and fills missing values for transformation throughput records (processed_rows, duration_seconds) across up to 200 rows, returning 2 analytical reports.

Computes a secondary-measure weighted mean and performs a keyed dataset comparison for transformation throughput records (processed_rows, duration_seconds) across up to 200 rows.

Analyzes transformation throughput records to produce string normalisation and adjacent row change reports for up to 200 rows of processed_rows and duration_seconds data.

Runs two local analytical reports (string normalisation and daily sum series) on up to 200 transformation throughput records containing processed_rows and duration_seconds fields.

Performs string normalisation and date-by-category pivot analysis on transformation throughput records (processed_rows, duration_seconds) for up to 200 rows, returning two analytical reports.

Performs string normalisation and exact row deduplication analysis on up to 200 transformation throughput records (processed_rows, duration_seconds), returning 2 analytical reports using local engines.

Normalises string fields and flags IQR-based outliers for transformation throughput records (processed_rows, duration_seconds) across up to 200 rows, returning 2 independent analytical reports.

Computes a trailing mean time-series and a secondary-measure weighted mean for transformation throughput records (processed_rows, duration_seconds) over up to 200 rows.

Computes Pearson/Spearman correlation between processed_rows and duration_seconds, plus a weighted mean of a chosen secondary measure, for up to 200 transformation throughput records.

Computes adjacent row-to-row change analysis and an equal-width histogram for translation delivery records (translated_words, source_words) on up to 200 supplied rows.

Analyzes translation delivery records (translated_words, source_words) to produce two reports: adjacent row change detection and explicit missing-value imputation.

Computes adjacent row-to-row changes and two-measure correlation for translation delivery data (translated_words, source_words) across up to 200 supplied rows, returning two analytical reports.

Computes a Base-100 index series and a secondary-measure weighted mean for translation delivery records (translated_words, source_words) across up to 200 rows using local analytical engines.

Computes category-level word-count frequencies and a daily sum time series from uploaded translation delivery records (translated_words or source_words), returning two reports in one call.

Analyzes translation delivery records to produce a duplicate row_id report and document_group category frequency counts — two local analytical reports in one call.

Analyzes translation delivery records to produce a duplicate key report and a daily sum time series for translated_words or source_words fields.

Analyzes translation delivery records to produce a duplicate key report and an equal-width histogram for translated_words or source_words.

Analyzes translation delivery records (translated_words, source_words) to identify duplicate row keys and fill explicit missing values, producing two independent data quality reports for up to 200 rows.

Analyzes up to 200 translation delivery records to produce a duplicate key report and a numeric interval filter report for translated_words or source_words fields.

Generates two analytical reports — a duplicate key report and a trailing mean series — from user-supplied translation delivery records (translated_words, source_words).

Analyzes up to 200 translation delivery records to produce a duplicate key report and a Pearson/Spearman correlation between translated_words and source_words.

Generates an equal-width histogram and a missing-value-filled dataset for translation delivery records (translated_words, source_words) in a single call, returning two local analytical reports for up to 200 rows.

Deduplicates up to 200 translation delivery records and produces two analytical reports: exact row deduplication and a Base-100 index series for translated_words or source_words.

Deduplicates translation delivery records by exact row match and computes a daily sum time series for translated_words or source_words fields, returning two reports for up to 200 rows.

Deduplicates translation delivery records and filters them by a numeric interval (min/max) on translated_words or source_words, producing two analytical reports for up to 200 rows.

Deduplicates and numerically orders up to 200 translation delivery records (translated_words, source_words), producing 2 analytical reports using local engines.