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A box plot (box-and-whisker plot) visualises the distribution of data using five statistics: minimum, Q1, median, Q3, and maximum. Outliers are shown as individual points beyond 1.5×IQR from the quartiles.

Формула

Q1 = 25th percentile, Q2 (median) = 50th, Q3 = 75th; IQR = Q3 − Q1
Min
minimum value
Q1
first quartile (25th percentile)
Q2
median (50th percentile)
Q3
third quartile (75th percentile)
Max
maximum value
IQR
interquartile range — Q3 − Q1

Водич корак по корак

  1. 1Q2 (median): middle value of sorted data
  2. 2Q1: median of lower half
  3. 3Q3: median of upper half
  4. 4IQR = Q3 − Q1; outlier threshold = 1.5×IQR

Worked Examples

Инпут
Data: 2,4,5,7,8,9,11,13
Резултат
Min=2, Q1=4.5, Med=7.5, Q3=10, Max=13
Инпут
IQR = 5.5, outlier threshold = 8.25 from quartiles
Резултат
Any value < −3.75 or > 18.25 is an outlier

Frequently Asked Questions

What is a boxplot used for?

Boxplots visualize the distribution, spread, and outliers of data at a glance.

How are outliers determined in a boxplot?

Points beyond 1.5×IQR from Q1 or Q3 are typically marked as outliers.

Is the median always at the center of the box?

No, the line inside the box shows the median's position relative to Q1 and Q3, reflecting data skewness.

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