Five Number Summary Calculator
Five Number Summary Calculator
Enter a list of numbers to instantly calculate its five number summary — the minimum, first quartile (Q1), median, third quartile (Q3), and maximum. Together, these five values are exactly what you need to draw a box plot.
The box in a box plot spans from Q1 to Q3 with a line marking the median, while the whiskers typically extend out to the minimum and maximum (or to the outlier fences if extreme values are excluded separately). This five-number view is one of the fastest ways to get a feel for a dataset's shape and spread at a glance — whether it's symmetric or skewed, tightly clustered or widely spread — without needing to compute a full statistical breakdown first.
- The five numbers: Minimum (smallest value), Q1 (25th percentile), Median (50th percentile), Q3 (75th percentile), Maximum (largest value).
- Built for box plots: the box spans from Q1 to Q3 with a line at the median, while the whiskers typically extend to the minimum and maximum (or to the 1.5×IQR fences if outliers are excluded).
- A quick shape check: comparing the gaps between consecutive values in the summary gives a fast sense of skewness — e.g. a much bigger gap between Q3 and the maximum than between the minimum and Q1 suggests the data skews toward higher values.
What's the difference between this and the Quartile & IQR Calculator?
This adds the minimum and maximum to the same Q1/median/Q3 quartile values, giving you the complete five-number picture needed for a box plot rather than just the quartiles and IQR.
How do I turn this into an actual box plot?
Draw a box from Q1 to Q3 with a line at the median, then extend "whiskers" from the box edges out to the minimum and maximum values (or to the outlier fences, with individual outlier points marked separately, if you're excluding outliers from the whiskers).
Five Number Summary Calculator
Enter a list of numbers to instantly calculate its five number summary — the minimum, first quartile (Q1), median, third quartile (Q3), and maximum. Together, these five values are exactly what you need to draw a box plot.
The box in a box plot spans from Q1 to Q3 with a line marking the median, while the whiskers typically extend out to the minimum and maximum (or to the outlier fences if extreme values are excluded separately). This five-number view is one of the fastest ways to get a feel for a dataset's shape and spread at a glance — whether it's symmetric or skewed, tightly clustered or widely spread — without needing to compute a full statistical breakdown first.
- The five numbers: Minimum (smallest value), Q1 (25th percentile), Median (50th percentile), Q3 (75th percentile), Maximum (largest value).
- Built for box plots: the box spans from Q1 to Q3 with a line at the median, while the whiskers typically extend to the minimum and maximum (or to the 1.5×IQR fences if outliers are excluded).
- A quick shape check: comparing the gaps between consecutive values in the summary gives a fast sense of skewness — e.g. a much bigger gap between Q3 and the maximum than between the minimum and Q1 suggests the data skews toward higher values.
What's the difference between this and the Quartile & IQR Calculator?
This adds the minimum and maximum to the same Q1/median/Q3 quartile values, giving you the complete five-number picture needed for a box plot rather than just the quartiles and IQR.
How do I turn this into an actual box plot?
Draw a box from Q1 to Q3 with a line at the median, then extend "whiskers" from the box edges out to the minimum and maximum values (or to the outlier fences, with individual outlier points marked separately, if you're excluding outliers from the whiskers).