Online Tool Store
Data Type Coercion Report
Paste a CSV column's values to see a breakdown of inferred data types and flagged problem values before importing into your pipeline. Runs entirely in your browser.
🔒 This tool runs entirely in your browser. Your files are never uploaded to a server.
Example
Data Type Coercion Report
Sample: CSV column "quantity"
Example shown — replace it with your own CSV column.
Result
How it works
- Paste a CSV column's values.
- Each value is classified by inferred type.
- See a breakdown of types and flagged problem values.
The method
Each value is checked against numeric, text, and empty patterns, then tallied into a type breakdown so mixed-type columns are easy to spot before import.
FAQ
Why does a CSV column have mixed types?
CSV values are stored as plain text — a column intended as numbers can silently contain text like "N/A" or empty cells, which only becomes a problem once something tries to parse it as a number.
What counts as a "problem" value?
Non-numeric text and empty cells in an otherwise numeric column are flagged, since they typically break calculations or coerce to unexpected values like NaN or 0.
Does this fix the mixed types for me?
No — this reports what it finds so you can decide how to handle each case (drop, default, or manually correct) before importing into your own pipeline.
How we compare
| Feature | Online Tool Store | Manual spreadsheet scan | Import and find out the hard way |
|---|---|---|---|
| No software install | Yes | Yes | N/A |
| Quick to start | Yes | Slow, error-prone | Fast but risky |
| Free to use | Yes | Free | Free |
For catching mixed types before import instead of debugging a broken pipeline afterward, this checks it upfront.