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Box Plot Calculator

Calculate five-number summary statistics (minimum, Q1, median, Q3, maximum, IQR) and plot interactive box and whisker diagrams from raw data.

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Understanding Box and Whisker Plots

A box plot (or box-and-whisker diagram) provides a standardized graphical representation of dataset distribution based on a five-number summary: minimum, first quartile ($Q_1$), median ($Q_2$), third quartile ($Q_3$), and maximum.

Five-Number Summary and Formulas

Key statistics used to construct a box plot include:

  • Minimum ($Min$): The lowest value excluding statistical outliers.
  • First Quartile ($Q_1$): The $25^{\text{th}}$ percentile mark dividing lower $25\%$ of data.
  • Median ($Q_2$): The $50^{\text{th}}$ percentile mark representing the middle value.
  • Third Quartile ($Q_3$): The $75^{\text{th}}$ percentile mark dividing upper $25\%$ of data.
  • Interquartile Range ($IQR$): The distance between $Q_3$ and $Q_1$, calculated as $IQR = Q_3 - Q_1$.
  • Outlier Fences: Values below $Q_1 - 1.5 \times IQR$ or above $Q_3 + 1.5 \times IQR$ are flagged as outliers.

Interpreting Box Plots

The central rectangle spans from $Q_1$ to $Q_3$, containing the middle $50\%$ of your data. The line inside the box marks the median. Whiskers extend outward to show variability outside the upper and lower quartiles, while individual points beyond whiskers represent potential outliers.

Frequently Asked Questions

What does the length of the box represent?

The length of the box represents the Interquartile Range (IQR), which spans the middle $50\%$ of the data values.

How are outliers determined in a box plot?

An outlier is defined as any value that lies more than $1.5 \times IQR$ below $Q_1$ or above $Q_3$.

Why choose a box plot over a histogram?

Box plots make it easy to compare multiple distributions side-by-side and clearly spot outliers, whereas histograms are better for viewing detailed frequency shapes.

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