Statistics Calculator: Box Plot

Use this page to generate a box plot from a set of numerical values.

Data is from: Population Sample

Online Box Plot Generator

This page allows you to create a box plot from a set of statistical data:

  1. Enter your data in the text box. You must enter at least 4 values to build the box plot. Individual values may be entered on separate lines or separated by commas, tabs or spaces. You do not need to specify whether the data is from a population or a sample. You may also copy and paste data from another window such as an open document, spreadsheet pdf file or another web page.
  2. Press the "Submit Data" button to create the plot.
To clear the graph and enter a new data set, press "Reset".

When you submit your data, the server calculates the measures that will be used to plot the diagram. These measures are displayed to the left of the chart.For more details on the dispersion of the data set, you may click on the More dispersion data link located on the left of the plot.

What is a box plot

a box plot is a diagram that gives a visual representation to the distribution of the data, highlighting where most values lie and those values that greatly differ from the norm, called outliers. The box plot is also referred to as box and whisker plot or box and whisker diagram

Elements of the box plot

The bottom side of the box represents the first quartile, and the top side, the third quartile. Therefore the vertical width of the central box represents the inter-quartile deviation.

The horizontal line inside the box is the median.

The vertical lines protruding from the box extend to the minimum and the maximum values of the data set, as long as these values are not outliers. The ends of the whiskers are marked by two shorter horizontal lines.

Values higher than Q3+1.5xIQR or lower than Q1-1.5xIQR are considered outliers and are plotted above the top whisker or below the bottom whisker.

See also interquartile range and quartiles.