# Column Statistics

**Column Statistics give you a quick read on the distribution and quality of each column, so you can validate a Sheet before you start filtering, pivoting, or charting.**

![Column statistics](/images/column_stats.gif)

## What you will see

Depending on the column type, statistics may include:

- **Count, min, and max**, so you know the shape and bounds of the data.
- **Mean and median**, so you can spot skew at a glance.
- **Unique values and null counts**, so you can flag data-quality issues early.

## Common use cases

- **Validate an import**: "Did my dates parse correctly?"
- **Spot data-quality issues**: "Do I have unexpected nulls?"
- **Identify unique-id columns**: "Is this column essentially an ID (too many uniques to be useful for grouping)?"

## Notes

- Always check Column Statistics after a fresh import. It is the fastest way to catch broken types or unexpected nulls before they ripple into downstream Pivot Tables and Charts.

## Related pages

- [Importing Data](/docs/data-import)
- [Filtering Data](/docs/filtering-data)
- [Pivot Tables](/docs/pivot-tables)