Free Stem and Leaf Plot Maker
Create stem and leaf plots . Paste data, customize, and download for free.
| 6 | 2 5 8 |
| 7 | 0 1 3 4 5 6 8 |
| 8 | 1 3 5 7 |
| 9 | 0 2 5 |
How to Make a Stem and Leaf Plot (3 Steps)
- Paste your data — one value per line or comma-separated
- Select the leaf unit (ones for two-digit numbers, tens for three-digit)
- Save your plot as PNG or PDF — no watermark added
What is a Stem and Leaf Plot?
A stem and leaf plot displays quantitative data while retaining the original values. Each data point is split into a stem (leading digit) and a leaf (trailing digit), making it easy to see distribution shape and identify individual values simultaneously.
Stem and Leaf Plot vs Histogram
Both show distribution, but stem and leaf plots preserve original data values while histograms group data into bins. Use stem and leaf plots for smaller datasets (under ~50 values). For larger datasets, a histogram is more readable.
FAQ
How many values can I plot?
This tool works best with 10–100 values. For larger datasets, use a histogram instead.
Can I export for a school assignment?
Yes — download PNG or PDF. No watermark or extra branding is added.
Related Tools
- Line Graph Maker — Track ordered values and changes over time.
Related Guides
- What Is a Stem and Leaf Plot? — How stems and leaves work, split-stem, and back-to-back plots.
- How to Make a Stem and Leaf Plot Online — Step-by-step guide using this tool.
- Stem and Leaf Plot vs Histogram — When to keep individual values vs bin them.
- Histogram vs Box Plot vs Dot Plot — Which distribution chart to use for your data.
Further Reading
- Wikipedia: Stem-and-Leaf Display — History and construction of the stem-and-leaf plot, introduced by John Tukey in Exploratory Data Analysis (1977).
- Khan Academy: Stem-and-Leaf Plots Review — Guided practice for reading and building stem-and-leaf displays.
- Statology: How to Create and Interpret Stem-and-Leaf Plots — Clear examples with step-by-step instructions for two-digit and three-digit data.
- Wikipedia: Exploratory Data Analysis — The statistical philosophy by Tukey (1977) that popularized the stem-and-leaf plot alongside box plots and other EDA tools.