Enter the dataset values into this box plot generator, and click 'Calculate' to create your box and whisker plot statistically.
This boxplot calculator generates the visual box-whisker plot representation of the given dataset values. It makes the plot by pin-point five different statistical parameters such as (minimum, maximum, first quartile Q1, median Q2, and third quartile Q3)
“A box-and-whisker plot is a graphical tool that summarizes a dataset. It can be displayed along a number line, either horizontally or vertically.”
This type of plot makes it easy to compare the distribution of different datasets by showing their values side by side on a single graph. A box-and-whisker plot generator is an effective tool to visualize data distribution and make insightful comparisons.
Examples:

This plot is based on the following five statistical values:
Consider the following dataset and create a box plot for it: Data set = 1, 2, 3, 3, 4, 4, 4, 4, 5, 5, 5
Steps to Create a Box Plot
# 1: Order the dataset
The dataset is already arranged in ascending order: 1, 2, 3, 3, 4, 4, 4, 4, 5, 5, 5
# 2: Find the five-number summary
| Maximum Number | 5 |
| Minimum Number | 1 |
| First Quartile (Q1) | 2.5 |
| Median (Q2) | 4 |
| Third Quartile (Q3) | 5.0 |
# 3: Draw, label, and create the box

Instead of drawing the plot manually, an online box and whisker plot maker can quickly generate a graphical analysis of your dataset in seconds.
In a box-and-whisker plot:
Outliers are data points that lie significantly outside the whiskers, typically more than 1.5 times the IQR above Q3 or below Q1.
You can enter an unlimited number of numeric values in this box-and-whisker plot calculator.
The whiskers extend from the edges of the box to the minimum and maximum values that are not considered outliers.
BBC Bitesize: Box and whisker plot
Khan Academy: Reading and Constructing a Box Plot
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