Data & CSV
CSV missingness map
Visualise empty-cell patterns and compare completeness across columns.
A clear answer. Here’s how.
Counts missing/present cells across the complete dataset and distinct row presence patterns. An accessible SVG scatter grid shows missing versus present for the first 100 data rows and 20 columns; x/y labels use one-based positions. The downloadable table includes full-data per-column counts and percentages. Literal NULL, NA and zero are not treated as missing.
See a worked example
Worked example
A fixed demonstration, separate from the values you enter above.
- Your CSV
ID,Name,Team,Amount,Date 001,Ada,Design,120,2026-01-05 002,Sam,Writing,80,2026-01-06 003,Jo,Design,150,2026-01-07
- Column separator
- Comma
- Missing rule
- Exactly empty
Example result
| Column | Missing | Present | Missing (%) |
|---|---|---|---|
| ID | 0 | 3 | 0 |
| Name | 0 | 3 | 0 |
| Team | 0 | 3 | 0 |
| Amount | 0 | 3 | 0 |
| Date | 0 | 3 | 0 |
1 distinct missingness patterns in the full table. Plot shows first 100 rows × 20 columns, with CSV data-row index on y and column position on x.