Box Plot Maker
Show distribution, quartiles, and outliers. Create professional, interactive Box Plots in seconds without any design or coding skills.
Create Your Box Plot NowInstant Creation
Generate charts in seconds
Fully Customizable
Colors, labels, and styling
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What is a Box Plot?
Box plots (also called box-and-whisker plots) provide a statistical summary of data distribution using five key values: minimum, first quartile, median, third quartile, and maximum. The rectangular "box" spans the middle 50% of data, the line inside shows the median, and "whiskers" extend to show the range. Outliers are typically displayed as individual points beyond the whiskers.
Box plots are essential statistical visualization tools for comparing distributions across multiple groups, understanding data spread and skewness, and identifying outliers. They're less space-intensive than histograms when displaying multiple distributions and make it easy to visually compare statistical properties across categories. Box plots are standard in scientific research, quality control, and any analysis requiring distributional insights.
When to Use a Box Plot
How to Create a Box Plot in 3 Steps
Upload Your Data
Copy and paste your data, upload a file (CSV, Excel, JSON), or type directly into our data table. CleanChart automatically detects your data structure and format.
Select Box Plot & Customize
Choose Box Plot from our chart type selector. Customize colors, labels, legend position, and styling. Preview changes in real-time as you adjust settings.
Export & Share
Download your Box Plot as PNG, SVG, or PDF for reports and presentations. Embed the chart directly on your website or share a link with your team.
Real-World Example
Comparing product weight distributions across three manufacturing facilities
Best Practices for Box Plots
- 1.Keep labels clear and readable - use concise text that fits without overlapping
- 2.Use consistent colors throughout your visualization for easy pattern recognition
- 3.Include a descriptive title that explains what the chart shows
- 4.Ensure data is accurate and up-to-date before creating your chart
- 5.Consider your audience when choosing complexity and detail level
For more visualization guidelines, see resources from Tableau, Chartio, and the Interaction Design Foundation.
Create Box Plots From Your Data
Import your data from any format and convert it to a beautiful Box Plot
Helpful Guides & Resources
Data Visualization for Beginners
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Chart Types Explained
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Frequently Asked Questions
How do I create a Box Plot for free?
CleanChart offers a free tier that lets you create Box Plots. Simply upload your data, select Box Plot as your chart type, customize the design, and export.
What data formats are supported?
We support CSV, Excel (.xlsx), Google Sheets, JSON, and direct paste from clipboard. You can also connect to databases and APIs for live data.
Can I customize the Box Plot design?
Yes! You can customize colors, fonts, labels, axis formatting, legends, and more to match your brand or presentation needs.
What export formats are available?
Export your Box Plot as PNG (for presentations), SVG (for editing), or PDF (for reports). You can also embed interactive charts on websites.
Is my data secure?
Yes. CleanChart processes data securely and follows best practices for data protection. We don't store your data longer than necessary for chart creation.
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