A stemβandβleaf plot is a compact graphical representation that retains the original data values while showing their distribution. Each observation is split into a “stem” (the leading digits) and a “leaf” (the trailing digit(s), determined by the chosen leaf unit). This makes it easy to spot clusters, gaps, and outliers directly from the raw numbers.
Compared with histograms, stemβandβleaf plots preserve the exact data points, allowing quick retrieval of individual values without consulting a separate data table. They are especially useful in exploratory data analysis when the sample size is moderate (typically 10β30 observations) and the analyst wants both a visual overview and precise numeric information.
To construct the plot, first decide on a leaf unit (e.g., 1, 5, or 10). Then for each observation compute the stem as the integer part of the division by the leaf unit and the leaf as the remainder. Finally, list stems in ascending order and align their corresponding leaves. The mathematical relationship is shown below.
What is a stem-and-leaf plot?
How do I read a stem-and-leaf plot?
What are the advantages of using a stem-and-leaf plot?
Can I use this calculator for large datasets?
How do I interpret the leaf unit in a stem-and-leaf plot?
What is the difference between a stem-and-leaf plot and a histogram?
Can I customize the leaf unit in this calculator?
Results are for informational purposes only and do not constitute professional advice.
