Create box-and-whisker plots showing median, quartiles, and outliers from raw data input.
Box Plot Generator converts a numeric sample into a compact view of its distribution. It orders the observations, finds the median and quartiles, draws the interquartile box and whiskers, and marks values classified as outliers. This is useful for seeing spread, skew, and unusually distant observations without plotting every value individually. The main source of confusion is that quartile and whisker conventions can vary, especially for small samples, so results may differ slightly from another statistics program.
A concrete input and expected output from the current implementation.
Input
1 1 1 1 2 2 2 2 3 3 3 3
Expected output
A box spanning 1 to 3, with the median marked at 2, whisker endpoints at 1 and 3, and no separate outlier points.
The lower quartile is 1, the median is 2, and the upper quartile is 3. Every observation lies within the displayed range, so none is separated as an outlier.
The generator treats the entered numbers as observations from one sample and orders them by value. It locates the median, then divides the ordered distribution around that center to obtain the lower and upper quartiles. Those three statistics determine the middle line and both edges of the box.
Whiskers extend from the quartile box toward the lower and upper ends of the non-outlying data. Observations that meet the generator's outlier rule appear separately rather than extending a whisker. Because published box-plot conventions differ, whiskers should not automatically be interpreted as the sample minimum and maximum.
No. It means the observation falls beyond the plot's outlier boundary. The value may reflect a data-entry problem, a rare but valid event, or an important subgroup. Check the original record and the context before excluding it. The plot alone cannot determine the cause or validity of an observation.
No. The central line represents the median, which is the middle of the ordered observations. The arithmetic mean is a different statistic and can move substantially when extreme values are present. Unless the plot explicitly includes a separate mean marker, do not infer the average from the median line.
The example and behavioral notes were checked against the browser implementation. Standards and primary references below define the relevant format, formula, or platform behavior.
Pick colors visually and convert between HEX, RGB, HSL, and CMYK formats.
Preview how screen colors translate to print with CMYK simulation and proofing.
Preview any Google Font at various sizes, weights, and with custom sample text.
Create linear, radial, and conic CSS gradients with a visual editor and code output.
Generate harmonious color palettes from a base color using color theory rules.
Simulate how colors appear to people with various types of color vision deficiency.