Stem and Leaf Plot Examples- Visual Guide

What Is a Stem and Leaf Plot?

A stem and leaf plot is a data visualization tool that shows the shape of a dataset while keeping the original values intact. Unlike bar charts or histograms that hide individual numbers, stem and leaf plots display every single data point.

The structure is simple. Each number splits into two parts:

Think of it like organizing your closet. The stems are your hanging clothes, and the leaves are the items folded inside each section. Everything has its place, and you can see everything at once.

How to Read a Stem and Leaf Plot

Reading one of these plots takes about 30 seconds once you know the trick. Here's a quick example using test scores:

Stem Leaves
6 8 9
7 2 4 7 9
8 1 3 5 5 8
9 0 2 4 6 7 9

This plot shows scores from the 60s through the 90s. The stem "7" with leaves "2 4 7 9" represents the values 72, 74, 77, and 79.

The rule: Stem + Leaf = Actual Value. Always.

Stem and Leaf Plot Examples by Data Type

Example 1: Student Test Scores

Let's say you have these 15 scores: 78, 82, 91, 65, 88, 73, 95, 81, 69, 84, 77, 92, 86, 70, 89

Stem Leaves
6 5 9
7 0 3 7 8
8 1 2 4 6 8 9
9 1 2 5

Reading this: You have 2 scores in the 60s, 4 in the 70s, 6 in the 80s, and 3 in the 90s. The distribution skews toward the higher end. That's useful information in under 5 seconds.

Example 2: Daily Temperature Readings

Temperature data often works well with stem and leaf plots because you can use decimals as leaves.

Stem Leaves
72 3 5 8
73 1 4 6 9
74 0 2 7
75 3 5

Stem = 72, Leaves = 3, 5, 8 means temperatures of 72.3, 72.5, and 72.8 degrees. The stem can be two digits when your data requires it.

Example 3: Ages of Survey Respondents

For clustered data like ages, you might want to use split stems to show more detail.

Stem Leaves
1 8 9
2 1 4 7
3 2 5 8
4 0 3 6 9
5 1 2 4 5

This shows ages 18-19, 21, 24, 27, 32, 35, 38, 40, 43, 46, 49, 51, 52, 54, and 55. You can see the data clusters around the 40s and 50s.

Example 4: Back-to-Back Stem Plot for Comparison

When you need to compare two datasets, use a back-to-back stem plot. Here's class A vs class B scores:

Class A Stem Class B
5 6 8
9 7 4 6 2 3 5
8 6 5 3 7 1 4 7
9 7 5 2 8 3 6

Class A has more high scores (80s), Class B has more mid-range scores. The comparison is instant.

When to Use a Stem and Leaf Plot

These plots work well when:

They don't work well for:

Stem and Leaf Plot vs Other Tools

Feature Stem and Leaf Histogram Box Plot
Shows individual values Yes No No
Easy to construct by hand Yes Yes No
Good for small datasets Yes Okay No
Shows exact median Yes (count leaves) No Yes
Works for large datasets No Yes Yes

Common Mistakes to Avoid

How to Create a Stem and Leaf Plot

Here's the step-by-step process using real data:

Data: Monthly rainfall in inches — 3.2, 4.1, 2.8, 5.6, 4.3, 3.9, 6.2, 4.8, 3.5, 5.1, 4.2, 3.7

Step 1: Round if needed. Round to one decimal place since we're working with tenths.

Step 2: Identify the stems. The whole number part becomes the stem. So stems are 2, 3, 4, 5, 6.

Step 3: Write leaves in order. The decimal part becomes the leaf.

Stem Leaves
2 8
3 2 5 7 9
4 1 2 3 8
5 1 6
6 2

Step 4: Sort each row. The leaves 2, 5, 7, 9 are already in order. Leaves 1, 2, 3, 8 are in order.

Step 5: Add a key. Write "3 | 2 represents 3.2 inches" somewhere on your plot.

Split Stems: When Standard Plots Fall Short

Sometimes standard stems don't show enough detail. If your data has too many values in one stem, split it.

Instead of one row for "8", use two rows:

This doubles your resolution. It's especially useful when data clusters tightly in one area.

What You Can Learn at a Glance

A well-made stem and leaf plot tells you:

You get all that without calculating anything. Just look.

The Bottom Line

Stem and leaf plots are old-school, but they work. They're perfect for exploratory data analysis when you need detail without a computer. If you're grading papers, tracking measurements, or comparing small groups, this is your tool.

Print out your data, draw a vertical line, and start splitting numbers. That's it.