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Computes numeric distribution statistics and numeric row ordering for up to 200 company filing inventory records (available_filings, expected_filings) using local analytical engines.

Computes numeric distribution statistics and a trailing mean series for supplied company filing inventory data (available_filings, expected_filings) across up to 200 rows.

Runs numeric distribution analysis and two-measure correlation reports on company filing inventory data (available_filings, expected_filings) for up to 200 rows.

Filters company filing inventory rows by a numeric interval on a chosen field and computes adjacent row changes, returning two analytical reports for up to 200 rows.

Applies numeric interval filtering and base-100 index normalization to user-supplied company filing inventory data (available_filings, expected_filings) and returns two analytical reports for up to 200 rows.

Filters company filing inventory records by a numeric interval and computes daily sum series for available_filings or expected_filings across up to 200 rows.

Filters company filing inventory rows by a numeric interval on a chosen field and pivots filing dates by company category, producing two analytical reports from user-supplied data.

Filters company filing inventory rows by a numeric interval and generates an equal-width histogram for either available_filings or expected_filings fields across up to 200 supplied rows.

Filters company filing inventory records by a numeric interval and fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

Analyzes company filing inventory records by ranking rows numerically and computing adjacent row changes for available_filings or expected_filings fields, returning two analytical reports.

Applies numeric row ordering and Base-100 indexing to user-supplied company filing inventory records (available_filings, expected_filings), producing two analytical reports for up to 200 rows.

Computes numeric row ordering and daily sum series for up to 200 rows of company filing inventory data (available_filings, expected_filings), returning 2 independent analytical reports.

Runs two local analytical reports on company filing inventory data: numeric row ordering and a date-by-category pivot table, for up to 200 rows.

Generates two local analytical reports (numeric row ordering and equal-width histogram) for company filing inventory data (available_filings, expected_filings) across up to 200 rows.

Sorts company filing inventory rows numerically and fills missing values in available_filings or expected_filings using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

Sorts company filing inventory rows by numeric value and flags statistical outliers using the interquartile range (IQR) method for available_filings or expected_filings fields.

Sorts company filing inventory rows by a numeric field and filters them to a specified numeric interval, returning up to 2 analytical reports for up to 200 rows.

Runs two local analytical reports on company filing inventory data: a record quality audit and adjacent row change detection, for up to 200 rows.

Runs two analytical reports on supplied company filing inventory records: a record quality audit and a base-100 index series, covering available_filings and expected_filings fields across up to 200 rows.

Runs two analytical reports on supplied company filing inventory rows: a record quality audit and category frequency analysis for available_filings and expected_filings fields.

Runs two analytical reports on company filing inventory data: a record quality audit and a date-by-category pivot table, processing up to 200 rows offline with no external lookups.

Runs two analytical reports on supplied company filing inventory data: a record quality audit and a duplicate key detection report, for up to 200 rows.

Runs a record quality audit and equal-width histogram analysis on up to 200 rows of company filing inventory data (available_filings, expected_filings) using local analytical engines.

Audits up to 200 company filing inventory rows for record quality issues and identifies exact duplicate rows across available_filings and expected_filings fields, returning two independent analytical reports.

Runs three local analytical reports on company filing inventory records: record quality audit, exact row deduplication, and adjacent row change detection.

Runs three local analytical reports on company filing inventory data: a record quality audit, exact row deduplication, and a daily sum series — all on supplied rows, up to 200.

Audits record quality, deduplicates exact rows, and reports duplicate keys for up to 200 company filing inventory records across three independent analytical reports.

Runs three local analytical reports on company filing inventory data: a record quality audit, exact row deduplication check, and equal-width histogram — all computed offline on up to 200 supplied rows.

Analyzes company filing inventory data (available_filings, expected_filings) with three bundled reports: record quality audit, exact row deduplication, and grouped numeric summary — all processed locally without external lookups.

Runs three analytical reports on company filing inventory data: a record quality audit, exact row deduplication, and IQR-based outlier flagging — all locally, on up to 200 supplied rows.

Runs three local analytical reports on company filing inventory data: a record quality audit, exact row deduplication check, and numeric distribution analysis for up to 200 rows.

Runs three local analytical reports on company filing inventory data: a record quality audit, exact row deduplication check, and numeric interval filter for available_filings or expected_filings values.

Audits record quality, deduplicates exact rows, and orders rows numerically for supplied company filing inventory data (available_filings, expected_filings) — three reports in one call, up to 200 rows.

Runs three analytical reports on company filing inventory data: a record quality audit, exact row deduplication, and a trailing mean time series — all processed locally without external lookups.

Audits record quality and fills missing values in company filing inventory data (available_filings, expected_filings) for up to 200 rows, producing 2 independent reports.

Audits data quality and produces grouped numeric summaries for up to 200 company filing inventory records (available_filings, expected_filings) across two independent analytical reports.

Runs a record quality audit and IQR-based outlier detection on up to 200 rows of company filing inventory data (available_filings, expected_filings), returning two independent analytical reports.

Audits data quality and normalises strings for up to 200 rows of company filing inventory records (available_filings, expected_filings), producing two independent analytical reports.

Runs three analytical reports (record quality audit, string normalisation, and base-100 index series) on supplied company filing inventory data (available_filings, expected_filings) for up to 200 rows.

Runs three analytical reports (record quality audit, string normalisation, and category frequency analysis) on supplied company filing inventory data (available_filings, expected_filings) for up to 200 rows.

Runs three local analytical reports on supplied company filing inventory records: a record quality audit, string normalisation, and a date-by-category pivot — for up to 200 rows.

Audits up to 200 rows of company filing inventory data (available_filings, expected_filings) for record quality issues, normalises strings, and identifies duplicate keys — returning 3 independent analytical reports.

Runs three local analytical reports (record quality audit, string normalisation, and equal-width histogram) on supplied company filing inventory data covering available_filings and expected_filings fields, for up to 200 rows.

Audits record quality, normalises strings, and deduplicates exact rows for supplied company filing inventory data (available_filings, expected_filings), producing 3 independent analytical reports for up to 200 rows.

Audits, normalises, and fills missing values in company filing inventory records (available_filings, expected_filings) across up to 200 rows, producing 3 independent analytical reports.

Runs three local analytical reports on company filing inventory data: a record quality audit, string normalisation, and a grouped numeric summary — all in one call for up to 200 rows.

Audits, normalises, and flags IQR outliers in company filing inventory records (available_filings, expected_filings) across up to 200 rows, producing 3 independent analytical reports.

Runs three analytical reports on up to 200 company filing inventory records: a record quality audit, string normalisation, and keyed dataset comparison between two supplied datasets.

Runs three local analytical reports (record quality audit, string normalisation, and numeric distribution) on up to 200 rows of company filing inventory data (available_filings, expected_filings).

Audits record quality, normalises strings, and filters by numeric interval for up to 200 rows of company filing inventory data (available_filings, expected_filings), producing 3 independent analytical reports.

Runs three local analytical reports (record quality audit, string normalisation, and trailing mean series) on up to 200 rows of company filing inventory data (available_filings, expected_filings).

Runs a record quality audit and computes a trailing mean series on supplied company filing inventory data (available_filings, expected_filings) for up to 200 rows.

Normalises string fields and computes Base-100 index series for up to 200 rows of company filing inventory data (available_filings, expected_filings) using local analytical engines.

Normalises strings and computes category-level frequency distributions for up to 200 rows of company filing inventory data (available_filings, expected_filings) across two independent analytical reports.

Normalises string fields and produces a date-by-category pivot table from company filing inventory records (available_filings, expected_filings) — up to 200 rows, 2 reports per call.

Normalises string fields and produces a grouped numeric summary for company filing inventory data (available_filings, expected_filings) across up to 200 rows.

Runs string normalisation and IQR-based outlier detection on up to 200 rows of company filing inventory data (available_filings, expected_filings), returning two analytical reports per call.

Applies string normalisation and trailing mean series analysis to company filing inventory records (available_filings, expected_filings) for up to 200 rows, producing two analytical reports.

Computes trailing moving-average series and adjacent-row delta changes for company filing inventory data (available_filings, expected_filings) across up to 200 rows.

Computes a trailing mean time series and fills missing values for company filing inventory records (available_filings, expected_filings) across up to 200 rows.

Computes a trailing mean time series and a keyed dataset comparison for up to 200 rows of company filing inventory data (available_filings, expected_filings).

Runs two local analytical reports on company filing inventory data: a Pearson/Spearman correlation between available_filings and expected_filings, and a date-by-category pivot table, for up to 200 rows.

Computes Pearson correlation between available_filings and expected_filings columns and fills explicit missing values across up to 200 company filing inventory rows.

Runs two statistical analyses (Pearson/Spearman correlation between available_filings and expected_filings, plus keyed dataset comparison between two supplied datasets) on up to 200 rows of company filing inventory data.

Computes Pearson correlation between available_filings and expected_filings, plus a weighted mean for a selected secondary measure, across up to 200 company filing inventory rows.

Runs two analytical reports on supplied company headcount data: adjacent row change detection and a date-by-category pivot table, for up to 200 rows.

Computes adjacent row changes and fills missing values (headcount or open_roles) for up to 200 company headcount observation records using local analytical engines.

Computes adjacent row-over-row changes and secondary-measure weighted mean for supplied company headcount observation records (headcount or open_roles), returning two analytical reports in one call.

Analyzes user-supplied company headcount observation records by generating a Base-100 indexed time series and an equal-width frequency histogram for headcount or open_roles data.

Transforms supplied company headcount and open-roles time series data into a Base-100 indexed series and fills explicit missing values, producing two analytical reports for up to 200 rows.

Runs two analytical reports on supplied company headcount data: category frequency counts and a date-by-category pivot table, for up to 200 rows.

Computes category frequency counts and an equal-width histogram for supplied company headcount or open-roles data (up to 200 rows, 2 analytical reports per call).

Analyzes up to 200 company headcount observation rows to produce category frequency distributions and fill missing values in headcount or open_roles fields using zero, mean, or median imputation.

Computes category frequency distributions and IQR-based outlier flags for supplied company headcount and open-roles observation records (up to 200 rows, 2 reports).

Analyzes up to 200 company headcount observation records by computing category frequencies and comparing two keyed datasets (rows vs other) across headcount and open_roles fields.

Analyzes up to 200 company headcount observation rows, producing category frequency distributions and a numeric interval filter report for headcount or open_roles fields.

Analyzes up to 200 company headcount observation records, producing category frequency counts for company groups and numeric ordering for headcount or open_roles fields.

Computes category frequencies and a secondary-measure weighted mean for up to 200 company headcount observation records (headcount, open_roles).

Computes daily sum series and adjacent row changes for company headcount or open_roles data, returning two analytical reports for up to 200 rows.

Generates two analytical reports from supplied company headcount data: a daily sum time series and a date-by-category pivot table, for up to 200 rows.

Computes daily sum aggregations and fills missing values (zero, mean, or median) in company headcount and open-roles observation data across up to 200 rows.

Computes a daily sum time series and a secondary-measure weighted mean over up to 200 supplied company headcount observation records (headcount and open_roles).

Transforms up to 200 company headcount observation rows into a date-by-category pivot table and fills missing values using zero, mean, or median imputation.

Analyzes up to 200 company headcount observation rows to produce a duplicate key report and adjacent row change calculations for headcount or open_roles fields.

Analyzes up to 200 company headcount observation records to produce a duplicate key report and category frequency breakdown for headcount and open_roles fields.

Analyzes up to 200 company headcount observation records to produce a duplicate key report and an equal-width histogram for a chosen numeric field (headcount or open_roles).

Analyzes up to 200 company headcount observation rows to produce a duplicate key report and fill missing headcount or open_roles values using zero, mean, or median imputation.

Analyzes up to 200 company headcount observation rows to produce a duplicate key report and a grouped numeric summary for headcount or open_roles fields.

Runs two analytical reports on user-supplied company headcount data: a duplicate key detection report and a weighted mean calculation for headcount or open_roles, supporting up to 200 rows per call.

Analyzes up to 200 company headcount observation rows to produce a duplicate key report and a trailing mean time series for headcount or open_roles.

Computes an equal-width histogram over headcount (or open_roles) values and a weighted mean of a secondary measure for up to 200 company headcount observation records.

Deduplicates exact rows and detects adjacent row changes in company headcount observation data (headcount, open_roles) for up to 200 rows.

Deduplicates exact rows and generates a Base-100 index series from supplied company headcount and open_roles observation data (up to 200 rows).

Deduplicates exact duplicate rows and generates a daily sum time series for company headcount and open roles data (up to 200 rows, 2 reports per call).

Deduplicates exact duplicate rows and generates a date-by-category pivot table from company headcount observation records (headcount or open_roles), processing up to 200 rows in two bundled analytical reports.

Deduplicates company headcount observation rows and reports duplicate keys across up to 200 supplied records without any external lookup.

Deduplicates exact rows and fills missing headcount or open_roles values in company headcount observation records using zero, mean, or median imputation.

Deduplicates up to 200 company headcount observation rows and compares two datasets by key to surface differences in headcount and open_roles values.

Deduplicates company headcount observation rows and filters them by a numeric interval on headcount or open_roles fields, returning two analytical reports for up to 200 supplied rows.

Deduplicates company headcount observation rows and computes a correlation analysis between headcount and open_roles for up to 200 supplied records.