Audit Complex Datasets into Clean Insights
Stop guessing your data quality. Import Excel or CSV files, analyze descriptive stats, detect absolute duplicates, and generate co-occurrence matrices locally in your browser.
Data Quality & Exploratory Audit Canvas
Arrastra aquí tu archivo Excel (.xlsx, .xls) o CSV
Análisis 100% privado en memoria local de tu navegador • Cero envío a servidores
⚙️ Configuración de Entrada
Permite saltar logos, marcas de agua o títulos ejecutivos colocados arriba de la tabla real.
🛠️ Mapeo e Ignorar Columnas
0 ColsDesmarca las columnas inservibles (IDs de sistema, links) o fuerza manualmente su tipo de variable:
👁️ Vista Previa del Dataset Mapeado (Muestra de las primeras 5 filas)
How The Profiler Engine Operates
Our local pipeline executes a sandboxed, automated sequence to deliver zero-friction data quality audits.
Upload & Mapping
Import your Excel or CSV file, select the target worksheet, and configure the engine to skip unnecessary header rows or columns.
Diagnostics & Stats
Automatically calculate Health Scores, central tendencies, variability metrics, null counts, and categorical frequencies natively.
Cross-Tab & Export
Inspect identical duplicates, evaluate co-occurrence contingency matrices, and export clean reports in .xlsx, .csv, or JSON.
Built for Critical Data Workloads
A highly tuned ecosystem built explicitly for data analysts, auditors, and decision-makers who cannot afford a single misplaced row.
Zero Server Upload Privacy
Your confidential datasets never cross network lines. Perfect for trade secrets, medical data, or proprietary records processed entirely in client RAM.
Instant Local Execution
No bandwidth or upload delays. Process tens of thousands of rows within milliseconds directly inside your browser’s JavaScript engine.
Multi-Format Export
Download multi-sheet Excel audit summaries, export deduplicated CSV datasets, or generate structured JSON executive summaries.
Advanced Data Profiling
Automatically detects data types, calculates cardinality, and maps co-occurrence matrices between variables to find hidden patterns.
Frequently Asked Questions
Terms of Service & Data Policy
Usage & Scope
This profiling tool is provided “as is” without warranty. Users retain 100% ownership and intellectual property of the datasets processed during their active browser session.
Data Retention Policy
Data exists entirely in local volatile memory (RAM). Closing the tab, reloading the page, or navigating away immediately and permanently purges all session payloads.
Liability Constraints
ScalarPivot assumes no liability for data inconsistencies, mathematical mismatches, or subsequent business or economic losses resulting from profile report interpretations.