Analyze Dataset Health Online
Score CSV health across missing values, duplicates, row shape, and type consistency. Use Dataset Health Analyzer in your browser with no signup, no daily limit, and no backend processing for tool input.
Problem
You need to understand a dataset or payload before deciding what to clean, transform, or export.
What to do
Analysis gives a fast first pass on quality and structure. Use the findings to decide whether the data is ready or needs more cleanup.
- 1Load the dataset or payload into Dataset Health Analyzer.
- 2Review counts, types, warnings, and summaries.
- 3Use the findings to clean, validate, visualize, or export the data.
Use the browser tool
Dataset Health Analyzer profiles a CSV and scores it across the four things that actually break downstream work: missing values, duplicate rows, ragged row shape, and columns whose type is inconsistent from row to row. It gives you a single health score to compare datasets against each other, and a per-column breakdown showing which columns are dragging that score down and by how much — so cleaning starts with the column that matters rather than the first one in the file.
People also ask
- What counts as a duplicate row?
- A row whose every field matches another row exactly. Near-duplicates — same record with a differently formatted phone number — are not caught here; that is what fuzzy matching is for.
- Is my data uploaded to be analysed?
- No. Parsing and scoring happen in your browser. The site is a static export with no backend, so there is nowhere for the file to be sent.
- What is a good score?
- Compare rather than target. The score is most useful for ranking datasets against each other and for tracking one dataset across cleaning passes, not as an absolute pass mark.