Auto-Calculate Statistics
Paste raw values and the tool instantly computes min, Q1, median, Q3, max, and flags outliers using Tukey's method — no formulas needed.
Chart & Visualization Tools
Paste your raw values or enter summary statistics and MakeCharts builds a publication-ready box plot instantly. Reveal quartiles, medians, whiskers, and outliers at a glance.
Features
Built for analysts, educators, and anyone who needs to communicate statistical data clearly.
Paste raw values and the tool instantly computes min, Q1, median, Q3, max, and flags outliers using Tukey's method — no formulas needed.
Choose between Tukey 1.5×IQR whiskers for standard statistical analysis or min/max whiskers to show your full data range.
Add multiple categories side by side to compare distributions across groups — ideal for A/B tests, cohorts, and experimental results.
Individual data points beyond the whiskers are plotted as distinct markers so your audience immediately spots anomalies in the dataset.
Switch between vertical and horizontal orientations with one click to fit your report layout or slide dimensions perfectly.
Optionally display the mean alongside the median to let readers spot skewness and understand how averages differ from central tendency.
Data input
Enter one value per line and MakeCharts automatically calculates Q1, median, Q3, whiskers, and flags outliers for you.
Already have min, Q1, median, Q3, and max? Switch to manual mode and plot your box plot directly from precomputed statistics.
Import CSV or Excel files with your dataset and let MakeCharts handle the statistical heavy lifting automatically.
Tell the AI what distribution you want to visualize and it generates a realistic, fully configured box plot in seconds.
Share
Export crisp, high-resolution box plots ready for research papers, slide decks, and reports.
Send a live link to your box plot so collaborators can view it instantly without any account.
Drop a single embed code into your blog, dashboard, or documentation and your interactive box plot appears instantly.
Paste your downloaded chart directly into PowerPoint, Google Slides, or Notion for polished, data-rich presentations.
MakeCharts is a free online chart maker built for speed and clarity. The box plot generator handles all statistical calculations automatically so you can focus on insights, not formulas. No design skills or software installation needed — just your data.
Workflow
Paste raw values one per line, or enter precomputed summary statistics. Add as many groups as you need to compare.
Pick colors for each category, choose your whisker type, toggle outlier markers, and switch orientation to match your context.
Export a high-resolution PNG or SVG, copy a shareable link, or grab an embed code to publish your box plot anywhere.
Use cases
Researchers use box plots to compare distributions across control and treatment groups, making statistical differences immediately visible without tables of numbers.
Analysts and product managers use box plots to surface variability in KPIs, sales cycles, and customer metrics that averages alone can hide.
Teachers and students use box plots to make abstract concepts like quartiles, interquartile range, and skewness tangible and visually intuitive.
Quality engineers use box plots to detect process inconsistencies, compare manufacturing runs, and identify when a process is drifting outside acceptable bounds.
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 online in seconds. Visualize data distributions, compare groups, and find outliers with our free AI-powered box plot maker.
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
Stop wrestling with spreadsheet formulas. Build statistical charts the fast way.
FAQ
A box plot (also called a box-and-whisker plot) displays the distribution of a dataset through five key statistics: minimum, Q1, median, Q3, and maximum. Use one when you want to compare distributions across groups, spot outliers, or communicate data spread beyond a single average. It is especially useful in research, quality control, and business analytics.
No. Simply paste your raw values — one number per line — and MakeCharts automatically computes Q1, median, Q3, whisker endpoints, and identifies outliers using Tukey's 1.5×IQR rule. If you already have summary statistics from another tool, you can also enter them manually in the summary mode.
Tukey whiskers extend to the furthest data point within 1.5 times the interquartile range from Q1 and Q3 — any points beyond are plotted as individual outlier markers. Min/max whiskers simply extend to the smallest and largest values in the dataset, showing the full observed range without filtering. Tukey is standard in statistical analysis; min/max is common in exploratory or business reporting contexts.
Yes. Use the '+ Add category' button to add as many groups as you need. Each group gets its own color and label, and all boxes are displayed side by side on the same axis for easy visual comparison. This is ideal for A/B tests, cohort analysis, and multi-condition experiments.
In the Display Settings panel, change Orientation from Vertical to Horizontal. The chart updates instantly. Horizontal box plots are especially useful when you have long category labels or when your report has a wide landscape layout.
Yes — the core box plot generator is completely free with no account required. You can create, customize, and download your chart at no cost. Pro features like CSV file upload and advanced AI credits are available on paid plans if you need them.
Yes. Toggle 'Show mean marker' in the Display Settings to overlay a mean indicator on each box. This is useful when your data is skewed and you want readers to compare the median and mean at the same time.
You can download your box plot as a high-resolution PNG for slides, documents, and social media, or as an SVG for scalable, resolution-independent use in web projects and print materials. SVG export is available on paid plans.
Yes. Describe your dataset or analysis goal in plain language and MakeCharts AI generates a realistic, fully configured box plot with sample data. You can then replace the sample values with your own data and continue customizing. Free accounts include a limited number of AI credits.
Start now
Create your first box plot in under two minutes — free, no signup needed.
Free to use. No account required to start.