Free statistics calculators designed for data scientists. This Box and Whiskers Plot Maker:

- Generates A Box and Whiskers Plot
- Calculates Key Quartile Statistics

Enter your data as a string of numbers, separated by commas. Then hit calculate. The Box and Whisker Plot Maker will generate a list of key measures and make a box plot chart to show the distribution.

For easy entry, you can copy and paste your data into the box plot maker from Excel. You can save your data for use with this calculator and other calculators on this site. Just hit the "save data" button. It will save the data in your browser (not on our server, it remains private). Saved data sets will appear on the list of saved datasets below the data entry panel. To retrieve it, click the "load data" button next to it. This is useful if you want to tweak the data and rerun it in the box and whisker calculator or pass it another statistical tool.

- Generates Box and Whiskers Plot
- Calculates Key Quartile Statistics

Minimum:1.0000

25th Percentile: 3.0000

Sample Median: 3.5000

75th Percentile: 5.2500

Interquartile Range: 2.2500

Maximum: 26.0000

More Statistics (Save Data First)

Can be comma separated or one line per data point; you can also cut and paste from Excel.

Saved in your browser; you can retrieve these and use them in other calculators on this site.

Need to pass an answer to a friend? It's easy to link and share the results of this calculator. Hit calculate - then simply cut and paste the url after hitting calculate - it will retain the values you enter so you can share them via email or social media.

This tool has two key purposes:

- Generates Box and Whisker Plot
- Calculates Key Quartile Statistics

The box and whiskers plot is a common visual tool used for exploratory data analysis. This calculator is designed to make it quick and easy to generate a box and whiskers plot and associated descriptive statistics. Simple enter your data into the box plot maker and you will get a quick view of the shape of the distribution.

The core of the distribution is shown by the box in the plot. This represents the gap between the 25th percentile and the 75th percentile of the distribution, generally referred to as the interquartile range. This is usually a relatively dense region. This is particularly true if the data generated by the underlying process is normally distributed. The upper and lower lines denote the maximum and minimum values observed in the sample data. This gives you perspective on the outliers of a particular sample. Want to learn more about analyzing box plots? Statistics Canada published a good overview of using this statistical tool. Additional materials can be found here.

This tool is particularly useful if you need to find the range of a set of numbers and analyze it. The box plot generator provides both the interquartile range (distance between 25th and 75th percentile) and the total range (min vs. max) of a data sample.