A frequency distribution counts how many times each unique value appears in a dataset. It's the foundation of data analysis - showing patterns, outliers, and the shape of your data at a glance.

How to use this tool

1. Paste a column of values (one per line, or comma/space separated). 2. The tool counts occurrences and calculates percentages. 3. Sort by frequency (most common first) or alphabetically. 4. Download as CSV.

Common frequency table use cases

Survey responses: Count how many selected each option.
Sales data: See which products are purchased most often.
Customer feedback: Identify recurring themes in written comments.
Quality control: Track how often defects of each type occur.
Web analytics: Count page visit frequency, referrer sources, etc.

Interpreting frequency distributions

If a few values dominate (high peak), your data is concentrated. If values are evenly distributed (flat), it's uniform. Frequency tables are the first step toward visualisation (histograms, bar charts) and statistical testing.

Frequently asked questions

Is this case-sensitive?
Yes - "Apple" and "apple" are counted separately. Paste data consistently or normalise first.

What if I have very large datasets?
Works with thousands of rows, though very large files may take a moment to process.