What is Data Profiling?

Data profiling evaluates datasets to collect statistics, determine structural constraints (like unique IDs or keys), calculate cell completeness rates, and map data types dynamically, giving developers an overall view of dataset health.

How does the duplicate record key merger work?

Rather than dropping duplicated keys blindly, choose matching criteria columns (e.g. Email + Phone) and apply merge strategies: keep first, keep last, or manually inspect matching rows before trimming.

What is the IQR outlier detection method?

Outliers represent values that differ significantly from other observations in a numeric array. Our engine identifies these points dynamically using the Interquartile Range (IQR) method: any value below Q1 - 1.5 * IQR or above Q3 + 1.5 * IQR is flagged as a potential outlier.

Is my uploaded data safe and private?

Yes. All parsing, validation checks, and transformations are executed entirely locally inside your browser sandbox. No file data is sent to our servers.

Free Online Data Cleaner & Quality Analyzer — CSV/JSON Profiler & Deduplicator

Audit dataset completeness, uniqueness, and validity. Normalize spaces and casings, find and merge duplicate record keys, detect outliers with IQR, and mask sensitive variables locally.

⚡ Interactive Calculation Engine Active

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How to Use Advanced Data Cleaner & Quality Analyzer

Upload a CSV, TSV, or JSON file, or load the default pre-loaded sample dataset.
Check the Quality Rating score dashboard to identify missing fields and duplicated records.
Use the Clean & Transform sub-tabs to trim whitespaces, normalize dates, strip currency signs, and mask sensitive fields.
Setup custom validation schema constraints to locate invalid formats.
Download the cleaned dataset as CSV or formatted JSON.

What is a Data Quality & Profiling Suite?

A Data Quality Suite allows users to ingest CSV or JSON datasets, profile completeness and uniqueness characteristics, run custom schema checks, and apply deterministic transformations client-side to clean records for databases.

Maintaining Strict Client-Side File Processing Privacy

Toolique processes all cells, duplicates, and sensitive variables entirely locally in your browser memory sandbox. No files are stored or uploaded remotely, guaranteeing safety for financial spreadsheets.

Dynamic Rating Computation and Validation Checklists

Dataset health scores are calculated dynamically from actual metrics: completeness ratios (non-empty cells), uniqueness indexes (row duplicates), and format validity. Rules checking ensures zero invalid entries.

Advanced Transformations: Formatting Dates, Currency, and Sensitive Masks

Clean inputs by converting timezone formats, stripping symbols from currencies, masking sensitive email prefixes (e.g. j*****@example.com), and generating synthetic names for test environments.

Frequently Asked Questions

What is Data Profiling?: Data profiling evaluates datasets to collect statistics, determine structural constraints (like unique IDs or keys), calculate cell completeness rates, and map data types dynamically, giving developers an overall view of dataset health.
How does the duplicate record key merger work?: Rather than dropping duplicated keys blindly, choose matching criteria columns (e.g. Email + Phone) and apply merge strategies: keep first, keep last, or manually inspect matching rows before trimming.
What is the IQR outlier detection method?: Outliers represent values that differ significantly from other observations in a numeric array. Our engine identifies these points dynamically using the Interquartile Range (IQR) method: any value below Q1 - 1.5 * IQR or above Q3 + 1.5 * IQR is flagged as a potential outlier.
Is my uploaded data safe and private?: Yes. All parsing, validation checks, and transformations are executed entirely locally inside your browser sandbox. No file data is sent to our servers.