Box Plot Maker (from Raw Data)
Paste your raw numbers to compute the quartiles, IQR, and outliers, then draw a box plot automatically. The five-number summary is shown in a table too.
Input
Number data (separate with line breaks, commas, or spaces)
Values read as numbers: 20
Result
Median
15
1st quartile Q1
12.75
3rd quartile Q3
18
Interquartile range IQR
5.25
Five-number summary, IQR, and outliers
| Item | Value |
|---|---|
| Number of values | 20 |
| Minimum | 9 |
| 1st quartile Q1 | 12.75 |
| Median (Q2) | 15 |
| 3rd quartile Q3 | 18 |
| Maximum | 35 |
| Interquartile range IQR (Q3 − Q1) | 5.25 |
| Lower fence Q1 − 1.5 × IQR | 4.875 |
| Upper fence Q3 + 1.5 × IQR | 25.875 |
| Lower whisker end | 9 |
| Upper whisker end | 21 |
| Number of outliers | 1 |
List of outliers
35
How it works
- Paste number data separated by line breaks, commas, or spaces and the tool automatically computes the quartiles (Q1, median, Q3), the minimum and maximum, and the interquartile range (IQR), then draws a box plot.
- Quartiles are calculated by linear interpolation over the sorted data (equivalent to the common spreadsheet QUARTILE.INC function). Note that the same data can yield slightly different values depending on the method used.
- The box spans from the first quartile Q1 to the third quartile Q3, the bold line in the middle marks the median, and the whiskers extending left and right show the spread of the data excluding outliers.
- Outliers are treated as values smaller than Q1 − 1.5 × IQR or larger than Q3 + 1.5 × IQR, and they are shown as individual points on the chart.
- The whisker ends are drawn at the minimum and maximum values among the non-outlier data, so they may not match the overall minimum and maximum.
- Handy when you want to see the spread, skew, and any outliers in test scores, measurements, survey scores, and similar data at a glance.
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Box Plot Maker (from Raw Data)