Spreadsheet Analyzer

Upload a CSV and get real statistics for every column — detected type, min/max/average/median for numbers, unique value counts for text.

Drop a CSV file

How to use Spreadsheet Analyzer

  1. Start by providing the required input: Drop a CSV file. Use Load Sample to try example data first.
  2. No additional settings need to be configured.
  3. This tool has no separate run button; its results update as you add or change the input.
  4. Review the result or preview on the page and confirm it matches your input before using or sharing it.

Real column statistics, not just a preview of the first few rows

Opening a CSV in a spreadsheet app shows you the data but not its shape — which columns are actually numeric, what their range and average look like, how many unique values a text column really has. Computing real per-column statistics answers questions a quick scroll-through can't.

How numeric columns are distinguished from text

A column is treated as numeric only when the large majority of its filled values actually parse as numbers — a few stray non-numeric entries don't disqualify a column, keeping the detection useful on real-world, slightly messy data.

What statistics are shown for numeric columns?

Minimum, maximum, mean, and median — a real statistical summary, not just a min/max range.

What's shown for text columns instead?

Unique value count and the single most common value — useful for spotting how varied (or repetitive) a categorical column actually is.

Does this handle missing values in the calculations?

Yes — empty cells are excluded from numeric calculations and unique-value counts rather than being treated as a value themselves.

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