All Services

Computes a Base-100 index series and a two-measure correlation report for supplied business directory coverage data (listed_entities, verified_entities) across up to 200 rows.

Analyzes up to 200 business directory coverage records to produce two reports: category frequency distribution and adjacent row changes for listed_entities or verified_entities fields.

Computes category-frequency distributions and base-100 index series for business directory coverage data (listed_entities, verified_entities) across up to 200 supplied rows.

Computes category frequency counts and an equal-width histogram for listed_entities or verified_entities fields across up to 200 business directory coverage records.

Analyzes business directory coverage data (listed_entities, verified_entities) to produce category frequency reports and fill missing values using zero, mean, or median imputation — up to 200 rows, 2 reports per call.

Computes category frequencies and IQR-based outlier flags for business directory coverage metrics (listed_entities, verified_entities) across up to 200 supplied rows, producing 2 independent analytical reports.

Analyzes business directory coverage records to produce category frequency distributions and a numeric interval filter report for listed_entities and verified_entities fields.

Computes category frequency distributions and trailing mean time series for business directory coverage metrics (listed_entities, verified_entities) across up to 200 rows of supplied data.

Computes category frequencies and two-measure (listed_entities vs verified_entities) correlation analysis for up to 200 business directory coverage records

Computes daily sum time series and adjacent row changes for business directory coverage metrics (listed_entities, verified_entities) over up to 200 supplied rows, returning two analytical reports.

Computes a daily sum time series and a Base-100 indexed series for business directory coverage metrics (listed_entities, verified_entities) from user-supplied row data.

Runs two local analytical reports on business directory coverage data: a daily sum time series and a date-by-category pivot table, for up to 200 rows of listed/verified entity counts.

Computes daily sum time series and fills missing values for business directory coverage metrics (listed_entities, verified_entities) across up to 200 rows.

Computes a daily sum time series and a keyed dataset comparison for supplied business directory coverage records (listed_entities, verified_entities) across up to 200 rows.

Computes daily sum series and trailing mean series for business directory coverage metrics (listed_entities, verified_entities) from supplied row data, returning 2 statistical reports in one call.

Pivots business directory coverage data (listed and verified entities) by date and company category, and fills missing values using zero, mean, or median imputation — returning two analytical reports for up to 200 rows.

Runs two analytical reports on business directory coverage data: a date-by-category pivot table and a keyed dataset comparison, across up to 200 supplied rows.

Analyzes supplied business directory coverage records to produce a duplicate key report and an adjacent row changes report for up to 200 rows.

Generates a duplicate key report and an equal-width histogram for business directory coverage data (listed_entities, verified_entities) across up to 200 rows.

Analyzes up to 200 business directory coverage rows to produce a duplicate key report and fill missing values in listed_entities or verified_entities using zero, mean, or median imputation.

Analyzes up to 200 rows of business directory coverage data to produce a duplicate key report and IQR-based outlier flags for listed_entities and verified_entities fields.

Runs two local analytical reports on supplied business directory coverage data: a duplicate key report and a numeric interval filter, for up to 200 rows.

Analyzes up to 200 rows of business directory coverage data (listed_entities, verified_entities) to produce a duplicate key report and a two-measure correlation analysis.

Generates an equal-width histogram and a date-by-category pivot table from supplied business directory coverage data (listed_entities, verified_entities) for up to 200 rows.

Generates an equal-width histogram and fills missing values for business directory coverage metrics (listed_entities, verified_entities) across up to 200 supplied rows, producing 2 analytical reports.

Runs two local analytical reports on business directory coverage data: an equal-width histogram of a chosen field and a keyed dataset comparison between two supplied row sets, for up to 200 rows.

Analyzes uploaded business directory coverage records to produce exact row deduplication results and category frequency reports for listed_entities and verified_entities fields.

Deduplicates exact duplicate rows and computes daily sum time series for business directory coverage metrics (listed_entities, verified_entities) across up to 200 supplied records.

Deduplicates up to 200 business directory coverage records exactly by row and generates an equal-width histogram for a chosen coverage metric (listed_entities or verified_entities).

Deduplicates exact rows and produces grouped numeric summaries for business directory coverage records (listed_entities, verified_entities) across up to 200 rows in two independent reports.

Deduplicates exact rows and flags IQR-based outliers in business directory coverage data (listed_entities, verified_entities) for up to 200 rows, producing 2 analytical reports.

Deduplicates business directory coverage rows and filters by numeric interval across listed_entities or verified_entities fields, returning two analytical reports for up to 200 rows.

Deduplicates business directory coverage records and computes two-measure correlation (listed_entities vs verified_entities) across up to 200 rows, returning two analytical reports.

Generates two analytical reports (grouped numeric summary and base-100 indexed series) from supplied business directory coverage data (listed_entities, verified_entities) for up to 200 rows.

Generates two analytical reports (grouped numeric summary and daily sum series) for business directory coverage data (listed_entities, verified_entities) across up to 200 rows.

Generates two analytical reports — a grouped numeric summary and a date-by-category pivot — for business directory coverage data (listed_entities, verified_entities) across up to 200 rows.

Generates a grouped numeric summary and an equal-width histogram for business directory coverage data (listed_entities, verified_entities) from up to 200 supplied rows.

Runs two analytical reports on business directory coverage data: a grouped numeric summary by company group and a keyed comparison between two supplied datasets, for up to 200 rows of listed/verified entity counts.

Computes grouped numeric summaries and applies numeric interval filtering on business directory coverage records (listed_entities, verified_entities) for up to 200 rows, returning two independent analytical reports.

Computes a grouped numeric summary and a trailing mean time series for business directory coverage data (listed_entities, verified_entities) across up to 200 rows.

Runs two local analytical reports on business directory coverage data: a grouped numeric summary and a two-measure correlation between listed and verified entities.

Runs two analytical reports on business directory coverage data: IQR-based outlier detection and a date-by-category pivot, for up to 200 rows of listed/verified entity counts.

Detects IQR-based outliers and fills missing values in business directory coverage data (listed_entities, verified_entities) for up to 200 rows, returning two independent analytical reports.

Runs IQR-based outlier detection and two-measure correlation analysis on supplied business directory coverage records (listed_entities, verified_entities) for up to 200 rows.

Computes numeric distribution statistics and category frequency counts for business directory coverage fields (listed_entities, verified_entities) across up to 200 supplied rows.

Generates two local analytical reports — numeric distribution and date-by-category pivot — for business directory coverage data (listed_entities, verified_entities) across up to 200 rows.

Computes numeric distribution statistics and fills missing values (zero/mean/median) for business directory coverage fields (listed_entities, verified_entities) across up to 200 supplied rows.

Computes numeric distribution statistics and IQR-based outlier flags for business directory coverage metrics (listed_entities, verified_entities) across supplied rows.

Runs two local analytical reports (numeric distribution and keyed dataset comparison) on supplied business directory coverage data with listed_entities and verified_entities fields, for up to 200 rows.

Computes numeric distribution statistics and applies a numeric interval filter on business directory coverage data (listed_entities, verified_entities) for up to 200 supplied rows, returning 2 analytical reports.

Computes a numeric distribution report and a secondary-measure weighted mean for up to 200 business directory coverage records (listed_entities, verified_entities) using local analytical engines.

Computes numeric distribution statistics and trailing mean time series for business directory coverage metrics (listed_entities, verified_entities) across up to 200 supplied rows.

Applies a numeric interval filter and a date-by-category pivot to supplied business directory coverage records (listed_entities, verified_entities), returning two analytical reports for up to 200 rows.

Filters business directory coverage rows (listed_entities, verified_entities) by a numeric interval and generates an equal-width histogram report over the supplied data.

Applies a numeric interval filter and IQR-based outlier detection to up to 200 business directory coverage records (listed_entities, verified_entities), returning two analytical reports.

Applies a numeric interval filter and computes a trailing mean series on business directory coverage data (listed_entities, verified_entities) for up to 200 rows, returning 2 analytical reports.

Generates two analytical reports (numeric row ordering and date-by-category pivot) for supplied business directory coverage data with listed and verified entity counts.

Runs two analytical reports on business directory coverage data: a record quality audit and a Base-100 index series for listed_entities and verified_entities metrics across up to 200 rows.

Runs two local analytical reports on business directory coverage data: a record quality audit and a date-by-category pivot, for up to 200 rows of listed_entities and verified_entities data.

Runs two analytical reports (record quality audit and duplicate key detection) on supplied business directory coverage data with listed_entities and verified_entities fields, processing up to 200 rows locally.

Audits record quality and detects exact duplicate rows in business directory coverage data (listed_entities, verified_entities) for up to 200 rows, producing two independent analytical reports.

Runs three analytical reports on business directory coverage data: record quality audit, exact row deduplication, and base-100 index series for listed_entities or verified_entities fields.

Runs three analytical reports on supplied business directory coverage rows: record quality audit, exact row deduplication, and category frequency analysis for listed and verified entity counts.

Runs three analytical reports (record quality audit, exact row deduplication, and daily sum series) on supplied business directory coverage data with listed and verified entity counts, for up to 200 rows.

Runs three local analytical reports on business directory coverage data: a record quality audit, exact row deduplication, and a duplicate key report — all on up to 200 supplied rows.

Runs three local analytical reports (record quality audit, exact row deduplication, and equal-width histogram) on up to 200 business directory coverage rows containing listed and verified entity counts.

Analyzes up to 200 business directory coverage rows, producing three reports: a record quality audit, exact row deduplication, and a grouped numeric summary of listed_entities and verified_entities fields.

Runs three local analytical reports on business directory coverage data: a record quality audit, exact row deduplication, and IQR-based outlier flagging for listed_entities and verified_entities fields.

Runs three analytical reports (record quality audit, exact row deduplication, and numeric distribution) on business directory coverage data (listed_entities, verified_entities) for up to 200 rows.

Runs three local analytical reports on business directory coverage data: a record quality audit, exact row deduplication, and a numeric interval filter on listed_entities or verified_entities fields, for up to 200 rows.

Runs three analytical reports on business directory coverage data: record quality audit, exact row deduplication, and trailing mean time series for listed_entities or verified_entities fields.

Performs a record quality audit and grouped numeric summary on business directory coverage data (listed_entities, verified_entities) for up to 200 rows, producing two independent analytical reports.

Audits supplied business directory coverage records (listed_entities, verified_entities) for data quality and flags statistical outliers using IQR analysis, producing 2 independent reports for up to 200 rows.

Audits record quality and computes numeric distribution statistics for business directory coverage data (listed_entities, verified_entities) across up to 200 supplied rows.

Audits business directory coverage records (listed_entities, verified_entities) for record quality, string normalisation issues, and adjacent row changes — producing 3 independent analytical reports for up to 200 rows.

Audits record quality, normalises strings, and computes a Base-100 index series for up to 200 business directory coverage rows (listed_entities, verified_entities) using three independent local analytical reports.

Audits record quality, normalises strings, and computes category frequencies for up to 200 business directory coverage rows (listed_entities, verified_entities) in a single call with three independent analytical reports.

Runs three local analytical reports (record quality audit, string normalisation, and grouped numeric summary) on up to 200 business directory coverage rows containing listed and verified entity counts.

Audits record quality, normalises strings, and flags IQR-based outliers in business directory coverage data (listed_entities, verified_entities) for up to 200 rows across 3 independent analytical reports.

Runs three analytical reports (record quality audit, string normalisation, and keyed dataset comparison) on up to 200 rows of business directory coverage data containing listed_entities and verified_entities fields.

Runs three local analytical reports (record quality audit, string normalisation, and numeric distribution) on up to 200 rows of business directory coverage data containing listed_entities and verified_entities fields.

Runs two local analytical reports on business directory coverage data: a record quality audit and a trailing mean series, for up to 200 rows of listed/verified entity counts.

Audits business directory coverage records for data quality and computes a two-measure correlation between listed_entities and verified_entities across up to 200 supplied rows.

Computes a secondary-measure weighted mean and a date-by-category pivot table for business directory coverage data (listed_entities, verified_entities) in a single API call producing two analytical reports.

Runs two local analytical reports (string normalisation and numeric distribution) on business directory coverage data rows containing listed_entities and verified_entities fields.

Computes a trailing moving average time series and a date-by-category pivot table for business directory coverage data (listed_entities, verified_entities) supplied by the caller.

Computes a trailing moving average time series and an equal-width histogram for business directory coverage metrics (listed_entities, verified_entities) over supplied row data.

Computes a trailing mean time series and fills missing values in business directory coverage data (listed_entities, verified_entities) for up to 200 rows, producing two analytical reports.

Runs two local analytical reports on supplied business directory coverage data: a Pearson-style correlation between listed_entities and verified_entities, plus a date-by-category pivot table.

Computes correlation between listed_entities and verified_entities, and fills missing values in business directory coverage rows using a chosen strategy (zero, mean, or median), producing two analytical reports for up to 200 rows.

Runs two local analytical reports (Pearson/Spearman correlation between listed_entities and verified_entities, plus a keyed row-by-row dataset comparison) on supplied business directory coverage records, up to 200 rows per call.

Computes adjacent row changes and an equal-width histogram for business event participation data (attendee_count, company_count) across up to 200 rows, returning two analytical reports.

Computes adjacent-row delta changes and fills missing values in business event participation data (attendee_count, company_count) for up to 200 rows, returning 2 analytical reports.

Computes adjacent-row delta changes and IQR-based outlier flags for business event participation data (attendee_count, company_count) across up to 200 rows.

Runs two local analytical reports on business event participation data: adjacent row changes and keyed dataset comparison for attendee_count or company_count fields, up to 200 rows.

Transforms business event participation records (attendee_count, company_count) into a Base-100 indexed series and fills missing values using zero, mean, or median imputation — up to 200 rows, 2 reports per call.

Generates two analytical reports — a Base-100 indexed time series and a keyed dataset comparison — for supplied business event participation data (attendee_count, company_count) across up to 200 rows.

Computes a Base-100 index series and a secondary-measure weighted mean for supplied business event participation data (attendee_count, company_count) in a single API call returning two analytical reports.

Analyzes business event participation records to produce category frequency distributions and adjacent row change reports for attendee_count or company_count fields.

Computes category frequency distributions and a Base-100 indexed series for supplied business event participation data (attendee_count or company_count) across up to 200 rows.