Empirical distribution viewer
Plot your observations as a cumulative distribution and read percentiles without fitting a model.
Up to 10,000 finite values, each between −1 trillion and 1 trillion, and one million input characters. Use decimal points, separated by spaces, commas or semicolons. Duplicates retain their weight. Percentiles use the inverse empirical CDF (type 1), with zero returning the minimum. The plot combines steps within the same horizontal pixel; table, CSV and JSON keep every distinct value. This describes the sample and does not estimate population probabilities. Change the input or settings to update your result. Results update as you type. Up to 1,000,000 characters.
Your result
How to use Empirical distribution viewer
- Paste your observations using decimal points.
- Choose a percentile and a threshold for cumulative probability.
- Inspect the step chart and download the complete values.
Useful next steps
Read the model
Plot your observations as a cumulative distribution and read percentiles without fitting a model.
Check the definition
Up to 10,000 finite values, each between −1 trillion and 1 trillion, and one million input characters. Use decimal points, separated by spaces, commas or semicolons. Duplicates retain their weight. Percentiles use the inverse empirical CDF (type 1), with zero returning the minimum. The plot combines steps within the same horizontal pixel; table, CSV and JSON keep every distinct value. This describes the sample and does not estimate population probabilities.
Keep the calculation
Download SVG for the chart, JSON for unrounded values, CSV for the table and the assumptions note. Your input stays on your device.