Auto-Calculate Statistics
Paste raw numbers and instantly get median, Q1, Q3, IQR, and whisker bounds — no spreadsheet formulas required.
Chart & Visualization Tools
Paste your values or enter summary stats and get a clean, accurate box plot instantly. Compare multiple groups, highlight outliers, and export a chart ready for any report.
Features
Built for analysts, researchers, and anyone who needs to understand data distributions at a glance.
Paste raw numbers and instantly get median, Q1, Q3, IQR, and whisker bounds — no spreadsheet formulas required.
Data points beyond the whiskers are automatically plotted as individual markers so anomalies are never hidden.
Add multiple categories and compare their distributions side by side in a single, easy-to-read chart.
Choose Tukey 1.5×IQR whiskers for statistical best practice, or min/max whiskers to show the full data range.
Switch orientation with one click to fit the layout of your report, slide, or dashboard perfectly.
Describe your data in plain language and let the AI generate a ready-to-use box plot with sample data included.
Data input
Enter one value per line and the tool auto-calculates median, Q1, Q3, IQR, and whisker bounds for you.
Already have min, Q1, median, Q3, and max? Switch to manual mode and input your summary statistics directly.
Add as many categories as you need and see all distributions plotted side by side for instant comparison.
Pro users can import CSV or Excel files to populate box plot data without any manual entry.
Share
Export a high-resolution image ready for research papers, slide decks, or business reports.
Copy a direct URL to your box plot and share it with teammates, students, or clients instantly.
Paste a one-line embed code to display your live box plot on any webpage or blog post.
Grab the image with one click and paste it straight into Word, Google Docs, or email.
MakeCharts is a free online chart maker built for speed and clarity. The box plot maker auto-calculates all statistics so you can focus on analysis, not formulas. It supports raw data entry, manual summary stats, and AI-powered generation — all in one place.
Workflow
Paste raw values (one per line) or switch to manual mode and enter your own min, Q1, median, Q3, and max. Add as many groups as you need.
Pick colors for each group, choose your whisker style, toggle the mean marker, and switch between vertical and horizontal layouts.
Download a high-quality PNG or SVG, copy a shareable link, or embed the chart directly on your website.
Use cases
Researchers use box plots to compare distributions across control and treatment groups, clearly showing median differences and variability in a single view.
Quality engineers and operations teams use box plots to track process consistency, identify unusual batches, and benchmark performance over time.
Clinicians and data teams use box plots to visualize patient biomarkers, compare treatment arm outcomes, and flag statistical outliers in trial data.
Educators use interactive box plots to help students visualize quartiles, IQR, skewness, and outliers in a hands-on, concrete way.
Templates
Create professional box plots instantly. Visualize data distribution, quartiles, and outliers across multiple categories with this free template.
Morphological Box Templatebox-plotAnalyze plant morphology with a ready-to-use box plot template. Compare leaf length, stem diameter, root depth, and more with statistical clarity.
Box and Whisker Plot Template for Data Distributionbox-plotVisualize data distribution and outliers with this ready-to-use box plot template. Compare medians, quartiles, and spread across categories.
Box Plot Template — Excel Data Made Visualbox-plotCreate professional box plots from your Excel data instantly. Visualize distributions, outliers, and quartiles with no design skills needed.
Blank Box Plot Template for Data Distribution Analysisbox-plotStart with a blank box plot template to visualize data distributions, compare quartiles, and spot outliers across multiple categories with ease.
Statistics Box Plot Templatebox-plotVisualize data distributions across groups with this free statistics box plot template. Compare medians, quartiles, and outliers in seconds.
Related Tools
Create professional box plots instantly. Visualize distributions, quartiles, and outliers with our free AI-powered box plot generator. No signup needed.
Box and Whisker Plot Makerbox-plotCreate box and whisker plots instantly. Visualize distributions, quartiles, and outliers from raw data — no spreadsheet skills required. Free online.
Box Plot Graph Makerbox-plotCreate box plot graphs instantly. Visualize data distribution, quartiles, and outliers with our free AI-powered box plot maker. No design skills needed.
Box Plot Chart Makerbox-plotCreate professional box plot charts instantly. Visualize data distributions, quartiles, and outliers with our free AI-powered box plot chart maker.
Comparison
Skip the manual statistics and spreadsheet wrangling.
FAQ
A box plot (also called a box-and-whisker plot) is a chart that summarizes a dataset using five key statistics: minimum, Q1 (25th percentile), median (Q2), Q3 (75th percentile), and maximum. The central box shows the interquartile range (IQR), and the whiskers extend to the data bounds. Individual outliers are plotted as separate dots beyond the whiskers.
Use MakeCharts Box Plot Maker — it is completely free and requires no sign-up. Paste your raw values into the data panel, choose your group names and colors, and your box plot is generated instantly. You can download it as a PNG or SVG right away.
The bottom of the box is Q1 (25th percentile), the line inside the box is the median (Q2), and the top of the box is Q3 (75th percentile). The box height represents the IQR. Whiskers extend to the furthest data points within the allowed range, and individual dots beyond the whiskers are outliers.
Use a box plot when you want to compare distributions across multiple groups in a compact, side-by-side view. Histograms are better for exploring the detailed shape of a single distribution. Box plots excel at highlighting median differences, spread, and outliers across categories without cluttering the chart.
Yes. MakeCharts lets you add as many categories as you need. Each group gets its own box plotted on the same axis, making it easy to compare medians, spreads, and outliers across all groups at a glance.
Outliers are data points that fall more than 1.5 times the IQR below Q1 or above Q3 (the Tukey method). They are plotted as individual dots beyond the whiskers. MakeCharts detects and displays outliers automatically when using Tukey whiskers, or you can enter custom outlier values manually.
Tukey whiskers extend to the last data point within 1.5×IQR of the quartiles — values beyond that are shown as individual outlier points, which is the standard statistical convention. Min/max whiskers simply extend to the absolute minimum and maximum values in the dataset, showing the full range with no separate outlier points.
Yes. You can download your finished box plot as a high-resolution PNG for use in documents, slides, or social media, or as an SVG for scalable, print-quality output. Both formats are available on the free plan.
Not at all. Just paste your raw data values and the tool handles all the statistics automatically. If you prefer to enter summary statistics directly, you can do that too. The AI assistant can also help you get started if you describe your data in plain language.
Yes. The SVG export produces clean, high-resolution output suitable for academic publications and research reports. You can add axis labels, titles, and customize colors to meet your formatting requirements before exporting.
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