# Box plot comparison - Human page: https://happytails.ai/en/calculators/box-plot-comparison/ - Markdown: https://happytails.ai/en/calculators/box-plot-comparison.md - Structured JSON: https://happytails.ai/agents/en/calculators/box-plot-comparison/index.json - Visibility: public ## Tool capabilities | Property | Value | | --- | --- | | Tool ID | `box-plot-comparison` | | Category | calculators | | Implementation | Registered implementation. Registration alone is not a production-quality guarantee. | | Browser execution | Use the visible action or interactive controls. | | Browser processing | Browser; see tool notes for network behavior. | | HTTP API | Not callable through HTTP. | | Browser-agent interface | run_current_tool | ### Implementation notes Paste comma-separated CSV with a header and 2 to 2000 complete rows. Use dot decimals with at most six decimal places and values from -1000000000 to 1000000000. No missing values are silently dropped. Extra columns are used only to preserve the original input in reports. Calculations use the required columns only. Processing stays on your device. Results use floating-point arithmetic. Charts show the supplied sample, not proof about a population. Use value and optional group columns, with at most 20 groups and group names up to 80 characters. Quartiles use type-7 linear interpolation at (n-1)p. Fences are Q1 minus 1.5 IQR and Q3 plus 1.5 IQR. Whiskers are the most extreme observed values inside the fences. Flagged values remain in the data. Flags do not prove bad data or statistically significant group differences. ### Inputs and settings Text input: Numeric CSV. Example or placeholder shown in the interface (not a validated fixture): ```text group,value A,0 A,1 A,2 A,3 A,100 B,2 B,3 B,4 ``` Paste comma-separated CSV with a header and 2 to 2000 complete rows. Use dot decimals with at most six decimal places and values from -1000000000 to 1000000000. No missing values are silently dropped. Extra columns are used only to preserve the original input in reports. Calculations use the required columns only. Processing stays on your device. Results use floating-point arithmetic. Charts show the supplied sample, not proof about a population. Use value and optional group columns, with at most 20 groups and group names up to 80 characters. Quartiles use type-7 linear interpolation at (n-1)p. Fences are Q1 minus 1.5 IQR and Q3 plus 1.5 IQR. Whiskers are the most extreme observed values inside the fences. Flagged values remain in the data. Flags do not prove bad data or statistically significant group differences. Up to 1,000,000 characters. Review the settings before running. No additional settings are declared for this tool. ### Browser-agent workflow 1. Open the human page in a browser that supports WebMCP. 2. Discover the interface exposed by that page; use its actual schema. 3. Select files on the page first when the tool requires files. 4. Call `run_current_tool` with valid input and settings. 5. Inspect the returned result or error and the displayed output. Retrieve files from the displayed download links. Calls do not automatically copy or download results. Browser permissions still apply. Interface availability alone is not proof of successful execution. ### Planning specification Paste comma-separated CSV with a header and 2 to 2000 complete rows. Use dot decimals with at most six decimal places and values from -1000000000 to 1000000000. No missing values are silently dropped. Extra columns are used only to preserve the original input in reports. Calculations use the required columns only. Processing stays on your device. Results use floating-point arithmetic. Charts show the supplied sample, not proof about a population. Use value and optional group columns, with at most 20 groups and group names up to 80 characters. Quartiles use type-7 linear interpolation at (n-1)p. Fences are Q1 minus 1.5 IQR and Q3 plus 1.5 IQR. Whiskers are the most extreme observed values inside the fences. Flagged values remain in the data. Flags do not prove bad data or statistically significant group differences. Search and sort change this comparison only. Copy result copies the summary. Download JSON or CSV for all observations, results, settings and method assumptions. Download SVG for the chart. One disposable worker per calculation, with a 10-second timeout. CSV supports up to 100 columns and 100000 cells through the shared parser. This describes intended requirements. Use the implementation notes, interface schema and observed output to determine current support. ### Complete machine-readable capability record ```json { "id": "box-plot-comparison", "category": "calculators", "built": true, "requirements": "Paste comma-separated CSV with a header and 2 to 2000 complete rows. Use dot decimals with at most six decimal places and values from -1000000000 to 1000000000. No missing values are silently dropped. Extra columns are used only to preserve the original input in reports. Calculations use the required columns only. Processing stays on your device. Results use floating-point arithmetic. Charts show the supplied sample, not proof about a population. Use value and optional group columns, with at most 20 groups and group names up to 80 characters. Quartiles use type-7 linear interpolation at (n-1)p. Fences are Q1 minus 1.5 IQR and Q3 plus 1.5 IQR. Whiskers are the most extreme observed values inside the fences. Flagged values remain in the data. Flags do not prove bad data or statistically significant group differences. Search and sort change this comparison only. Copy result copies the summary. Download JSON or CSV for all observations, results, settings and method assumptions. Download SVG for the chart. One disposable worker per calculation, with a 10-second timeout. CSV supports up to 100 columns and 100000 cells through the shared parser.", "implementation": { "fields": [], "presentation": "metrics", "inputMaxLength": 1000000, "inputErrorCode": "DIAGNOSTIC_INPUT", "note": "Paste comma-separated CSV with a header and 2 to 2000 complete rows. Use dot decimals with at most six decimal places and values from -1000000000 to 1000000000. No missing values are silently dropped. Extra columns are used only to preserve the original input in reports. Calculations use the required columns only. Processing stays on your device. Results use floating-point arithmetic. Charts show the supplied sample, not proof about a population. Use value and optional group columns, with at most 20 groups and group names up to 80 characters. Quartiles use type-7 linear interpolation at (n-1)p. Fences are Q1 minus 1.5 IQR and Q3 plus 1.5 IQR. Whiskers are the most extreme observed values inside the fences. Flagged values remain in the data. Flags do not prove bad data or statistically significant group differences.", "experience": { "automatic": false, "single": false, "inputMaxLength": 1000000, "inputMode": "text", "label": "Numeric CSV", "placeholder": "group,value\nA,0\nA,1\nA,2\nA,3\nA,100\nB,2\nB,3\nB,4", "help": "Paste comma-separated CSV with a header and 2 to 2000 complete rows. Use dot decimals with at most six decimal places and values from -1000000000 to 1000000000. No missing values are silently dropped. Extra columns are used only to preserve the original input in reports. Calculations use the required columns only. Processing stays on your device. Results use floating-point arithmetic. Charts show the supplied sample, not proof about a population. Use value and optional group columns, with at most 20 groups and group names up to 80 characters. Quartiles use type-7 linear interpolation at (n-1)p. Fences are Q1 minus 1.5 IQR and Q3 plus 1.5 IQR. Whiskers are the most extreme observed values inside the fences. Flagged values remain in the data. Flags do not prove bad data or statistically significant group differences. Up to 1,000,000 characters. Review the settings before running.", "action": null }, "mode": "explicit", "interactive": false }, "execution": "Browser interface", "api": null, "browser_agent": { "supported": true, "name": "run_current_tool", "discovery": "WebMCP on the human page in a supporting browser", "verification": "See audit/API-AUDIT.md; availability is not verification" } } ``` ## Page guide Compare groups with documented quartiles, whiskers and outlier rules while keeping all observations in the report. How can we improve this tool? Report a problem or share an idea. Please leave out private information. Your message and the tool name go to our team via PostHog. ### How to use Box plot comparison 1. Paste complete numeric CSV rows with the required headers. Preserve the original order for lag diagnostics. 2. Choose the displayed method settings and review their assumptions. 3. Read the chart and table, then download all observations, results and assumptions as JSON or CSV. ## Useful next steps - [Empirical distribution viewer](https://happytails.ai/en/calculators/empirical-distribution-viewer/) ([Markdown](https://happytails.ai/en/calculators/empirical-distribution-viewer.md)) - [Confidence interval calculator](https://happytails.ai/en/calculators/confidence-interval-calculator/) ([Markdown](https://happytails.ai/en/calculators/confidence-interval-calculator.md)) - [Outlier sensitivity review](https://happytails.ai/en/calculators/outlier-sensitivity-review/) ([Markdown](https://happytails.ai/en/calculators/outlier-sensitivity-review.md)) ## Box plot comparison Use value and optional group columns, with at most 20 groups and group names up to 80 characters. Quartiles use type-7 linear interpolation at (n-1)p. Fences are Q1 minus 1.5 IQR and Q3 plus 1.5 IQR. Whiskers are the most extreme observed values inside the fences. Flagged values remain in the data. Flags do not prove bad data or statistically significant group differences. ### Keep the complete data trail Search and sort change this comparison only. Copy result copies the summary. Download JSON or CSV for all observations, results, settings and method assumptions. Download SVG for the chart. Group labels are preserved. Numeric CSV inputs use a decimal point; editable numeric settings also accept the selected language’s decimal notation.