Drop in a CSV or Excel file and get an instant profile: column types, missing values, uniqueness, distributions, duplicates — and a quality score.
Profiling summarizes a dataset's structure and quality: each column's type, missing-value rate, unique count and distribution, plus dataset-level issues like duplicate rows. It's the first thing to do before analysis, imports, or migrations — most downstream bugs are visible in a profile.
It starts at 100 and deducts for issues weighted by impact: missing cells, duplicate rows, mixed-type columns, constant columns, and whitespace problems. It's a triage signal, not a certification — read the warnings for the specifics.
No. Everything runs locally in your browser; the page cannot make network requests at all (blocked by its security policy).
Imagine what we'd build for your team — data pipelines, dashboards, and infrastructure engineered to the same standard, on your data.
Talk to amanar.ai →