A STARTING POINT, MADE FOR YOU
The data quality reviewer
toolbox.
Inspect dataset changes, rules and missingness before you share a table.
INSIDE THE TOOLBOX
Starter collection6 useful places to start.
Exact strings and declared rules are used; automated checks do not establish that a dataset is correct.
CSV dataset diff
Compare two keyed datasets and export exact record and cell changes.
CSV rule validator
Check required fields and declared column types without uploading records.
CSV missingness map
Visualise empty-cell patterns and compare completeness across columns.
CSV column profile
Inspect missing values, distinct values and numeric summaries by column.
Remove duplicate CSV rows
Keep the first row for each complete record or chosen key.
CSV viewer
Open a CSV as a readable table, without uploading it.
SMALL TASKS. LESS FRICTION.A few things you
A few things you
can tick off.
- Compare two dataset versions
- Check required columns and types
- Inspect missing-value patterns