Box Plot Chart
Free Online Box Plot Chart Maker
What is a Box Plot Chart?
A box plot (also called a box-and-whisker plot) summarizes a dataset using five statistics: minimum, first quartile (Q1), median, third quartile (Q3), and maximum. It reveals how data is distributed — its spread, skew, and central tendency — in a single compact visual. Use it when you need to compare distributions across groups or surface outliers that a simple average would hide.
Key Features
Auto-calculate from raw values
Paste in raw numbers and the chart computes quartiles, median, and whiskers automatically — no manual statistics needed.
Tukey or min/max whiskers
Choose Tukey whiskers (1.5 × IQR) for standard outlier detection, or min/max whiskers to show the full data range.
Outlier visualization
Outlier points are plotted individually beyond the whiskers, so extreme values are visible without distorting the box.
Mean marker overlay
Optionally display the mean alongside the median to highlight skewness and asymmetry in your distribution.
Multi-group comparison
Add multiple categories side by side to compare distributions across departments, cohorts, or time periods at a glance.
Horizontal or vertical layout
Switch orientation to fit your slide or report — vertical for time-series groups, horizontal for long category labels.
Best For
When to Use
- When you need to show data spread, not just an average or total
- When comparing distributions across two or more groups side by side
- When outliers are meaningful and shouldn't be hidden in an aggregate
- When your dataset has at least 5-10 values per group to make quartiles meaningful
- When you need to reveal skewness or asymmetry in your data
- When side-by-side histograms would be too cluttered for your audience
Common Mistakes
- !Using a box plot with fewer than 5 data points per group — quartiles become misleading at small sizes
- !Forgetting to label axes with units, leaving readers unsure what the values represent
- !Choosing min/max whiskers when a few extreme values stretch them to the point of hiding the box
- !Comparing groups with very different sample sizes without disclosing the difference to readers
- !Using a bar chart when you want to show distribution, not just the mean
- !Treating outliers as errors to remove rather than investigating what caused them
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Templates
Start with professionally designed templates
Statistics Box Plot Template
Instantly visualize score distributions, detect outliers, and compare groups across subjects with a professionally designed box plot.
Blank Box Plot Template for Data Distribution Analysis
A ready-to-use box plot template that helps you visualize statistical distributions, compare data ranges, and identify outliers across multiple categories.
Box Plot Template — Excel Data Made Visual
Transform your Excel spreadsheet data into clear, professional box plots that reveal distributions, outliers, and quartiles at a glance.
Box and Whisker Plot Template for Data Distribution
Instantly visualize the spread, median, and outliers of your data across multiple categories with this ready-to-edit box plot template.
Morphological Box Template
Compare plant morphological measurements across multiple traits using a statistically rigorous box plot that reveals spread, skewness, and outliers at a glance.
Box Plot Template - Reveal Data Distributions at a Glance
Use this ready-made box plot template to compare distributions, spot outliers, and communicate statistical insights clearly — no coding required.
View All Templates
Browse the full library to find more templates tailored to your chart.