This interactive tool allows users to generate box and whisker plots for statistical data analysis. Ideal for statisticians, students, and data enthusiasts, it helps visualize data distribution and identify outliers efficiently.
Enter Your Data
Plot Results
Data Source and Methodology
All calculations are based on standard statistical methods as described in Wikipedia's Box Plot article. All calculations are strictly based on the formulas and data provided by this source.
The Formula Explained
The calculations involve determining the minimum, first quartile (Q1), median, third quartile (Q3), and maximum of the data set.
Glossary of Variables
- Min: The smallest data point in the set.
- Q1: The first quartile, 25% of the data points are below this value.
- Median: The middle value of the dataset.
- Q3: The third quartile, 75% of the data points are below this value.
- Max: The largest data point in the set.
How It Works: A Step-by-Step Example
For example, given the data set: 3, 7, 8, 5, 12, 14, 21, 13, 18, the box plot will reflect the minimum (3), Q1 (7), median (12), Q3 (18), and maximum (21).
Frequently Asked Questions (FAQ)
What is a box and whisker plot?
A box and whisker plot is a graphical representation of data that shows the distribution and identifies outliers.
How do I interpret a box plot?
The box plot displays the spread of the data, with the box representing the interquartile range and the line inside showing the median.
What do the whiskers represent?
The whiskers indicate variability outside the upper and lower quartiles, showing the range of the data.
Can it identify outliers?
Yes, data points outside the whiskers are considered outliers and are typically plotted as individual points.
How do I input data?
Enter your data points separated by commas in the input field and click "Generate Plot" to see the results.