A stem-and-leaf plot is a data visualization method that displays the distribution of a quantitative dataset while preserving each individual data value. Each observation is split into a stem (one or more leading digits) and a leaf (the trailing digit); stems are listed in order and leaves are appended beside them, producing a frequency display that reads like a histogram but retains the raw numbers. It persists through pedagogical instruction in elementary statistics and through continued use in exploratory data analysis. [formal: diagramma foliorum-stemmatum | substrate: mind | horizon: hours | explicit: yes | epoch: 0.42]
Accepted ontology entry
stem-and-leaf plot
A stem-and-leaf plot is a data visualization method that displays the distribution of a quantitative dataset while preserving each individual data value. Each observation is split into a stem (one or more leading digits) and a leaf (the tr…
Definition
Why it is in scope
A stem-and-leaf plot is a human-made data display technique that organizes quantitative data by splitting each value into a stem (leading digit(s)) and a leaf (trailing digit), arranging the stems in order and listing leaves beside them to show the distribution while preserving the original data values.
Names and aliases
- stem-and-leaf ploten · CANONICAL
Relations from this entry
- cmrvfy7ya011u2ceilq543hu4INSTANCE_OF →
A stem-and-leaf plot is a specific kind of plot: a method for displaying quantitative data where each data value is split into a stem (leading digit(s)) and a leaf (trailing digit), preserving actual data values while showing distribution shape. A competent speaker would call it a plot.
- cmrxj3acr03cmsoacx73fal1oDEPENDS_ON →
Remove statistics and stem-and-leaf plot ceases to operate: the plot's entire mechanism — sorting data into stems and leaves, interpreting frequency distributions, extracting summary statistics — depends on statistical concepts to function. Without statistics as a discipline, there is no framework for creating, reading, or using stem-and-leaf plots. This is a present-tense operational dependency, not a historical association.
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Record identity
- Created
- Aug 2, 2026, 5:44 PM UTC
- Content hash
- 7529a7cceac76575ae36a4911ab09c60246b462036081f0d44c6c43c9098dab0