Back-to-Back Mode
Place two datasets on opposite sides of a shared stem column to compare distributions at a glance — ideal for before/after or group-vs-group analysis.
Stem And Leaf Plot Chart
Free Online Stem And Leaf Plot Chart Maker
What is a Stem And Leaf Plot Chart?
A stem and leaf plot (or stemplot) organizes numeric data by splitting each value into a 'stem' (leading digits) and a 'leaf' (trailing digit), displaying the full distribution while preserving every original value. It works best for datasets of 15–100 values and makes patterns like clusters, gaps, and outliers immediately visible. Use it when you need more detail than a histogram provides — or when you want to quickly find the median and spread without losing the raw numbers.
Key Features
Automatic Stem Grouping
MakeCharts automatically calculates and groups your data into the right stems, so you get a clean, readable plot without manual sorting.
Leaf Unit Annotation
A built-in key row and leaf unit label make it clear exactly what each stem and leaf value represents, eliminating guesswork for readers.
Median Row Highlighting
Highlight the row containing the median value to make the center of your dataset stand out without altering the underlying data.
Sorted Leaves Toggle
Turn on ascending leaf sort to instantly produce a properly ordered stemplot — a requirement for accurate median and quartile identification.
Customizable Display
Adjust stem column color, font size, and chart title to match your report, presentation, or classroom materials.
Best For
Displaying test score or grade distributions in classrooms
Exploratory analysis on numeric datasets under 100 values
Comparing two groups side by side with back-to-back stemplots
Quickly spotting outliers and clusters before deeper analysis
Statistics coursework and educational demonstrations
Survey response values where individual data points matter
When to Use
- Your dataset has roughly 15–100 numeric values — enough to show a pattern, few enough to stay readable
- You need to preserve exact data values, unlike a histogram which bins them
- You want to identify the median, quartiles, or spread by visual inspection
- You are comparing two related groups and want one unified display
- Your audience needs to trace individual values back from the chart
- You are teaching or presenting basic descriptive statistics concepts
Common Mistakes
- Using more than 100 values — the plot becomes a wall of digits and loses all readability
- Skipping leaf sorting — unsorted leaves make finding the median or quartiles nearly impossible
- Picking the wrong leaf unit — using units instead of tens (or vice versa) distorts the apparent shape of the data
- Omitting the key row — readers cannot interpret the plot correctly without knowing what stem|leaf means
- Applying stem and leaf plots to categorical or non-numeric data
- Comparing two datasets with very different scales in back-to-back mode without noting the difference
Templates
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