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Box Plot Generator

Generate box plots for statistical distribution analysis with quartiles, whiskers, and outliers

Data for the box plot. Can be array of objects with name/values or simple key-value pairs

Title that will be displayed above the chart

Orientation of the box plot

Color for the box fill

Color for the whiskers (lines extending from boxes)

Color for the median line inside boxes

Color for outlier points

Display outlier points beyond the whiskers

Display mean value as a diamond shape

Display grid lines for better readability

Display statistical information (count, mean, std dev)

20 40 80

Width of the boxes (relative)

2 4 8

Size of outlier points

Width of the chart in pixels

Height of the chart in pixels

Margin around the chart

Key Facts

Category
Data Visualization
Input Types
textarea, text, select, color, checkbox, range
Output Type
html
Sample Coverage
4
API Ready
Yes

Overview

The Box Plot Generator is a professional data visualization tool designed to create statistical box-and-whisker plots. It allows you to quickly visualize data distributions, identify quartiles, detect outliers, and compare multiple datasets in a single, clear graphical format.

When to Use

  • •When you need to compare the distribution and variance of multiple datasets side-by-side.
  • •When identifying outliers or extreme values within a specific data population is critical.
  • •When summarizing large datasets to show the median, quartiles, and overall range at a glance.

How It Works

  • •Input your data as a JSON array of objects or simple key-value pairs, where each key represents a category and the values are the numerical data points.
  • •Customize the visual appearance by adjusting the orientation, box colors, and line styles for medians and whiskers.
  • •Toggle optional features like mean markers, grid lines, and statistical summaries to tailor the chart to your reporting needs.
  • •Generate and download your high-quality box plot for use in presentations, reports, or academic papers.

Use Cases

Comparing performance metrics across different departments or teams.
Analyzing experimental results to identify consistency and extreme variations.
Visualizing salary distributions or demographic data across different regions.

Examples

1. Departmental Performance Comparison

Data Analyst
Background
A manager needs to compare the response times of three different customer support teams to identify performance gaps.
Problem
Raw data is too dense to interpret, making it difficult to see which team has the most consistent performance versus those with extreme outliers.
How to Use
Input the response time data for each team into the Box Plot Data field and enable 'Show Statistics' to get a summary table alongside the chart.
Example Config
{"Support Team A": [12, 15, 18, 20, 22, 25, 30], "Support Team B": [10, 11, 12, 13, 14, 15, 45], "Support Team C": [15, 16, 17, 18, 19, 20, 21]}
Outcome
The box plot clearly highlights that Team B has a significant outlier (45 minutes), prompting a deeper investigation into that specific shift.

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FAQ

What data format does the tool accept?

The tool accepts JSON arrays of objects (with name and values keys) or simple key-value pairs where the key is the group name and the value is an array of numbers.

Can I customize the colors of the box plot?

Yes, you can independently set the colors for the box fill, whiskers, median line, and outlier points to match your branding or preference.

Does the tool support outlier detection?

Yes, the tool automatically calculates and displays outliers based on standard statistical methods, and you can toggle their visibility on or off.

Can I show the mean value on the chart?

Yes, by enabling the 'Show Mean' checkbox, the tool will display the mean value as a diamond shape within the box.

Is it possible to change the orientation of the chart?

Yes, you can switch between vertical and horizontal orientations to best fit your layout requirements.

API Documentation

Request Endpoint

POST /en/api/tools/box-plot-generator

Request Parameters

Parameter Name Type Required Description
chartData textarea Yes Data for the box plot. Can be array of objects with name/values or simple key-value pairs
chartTitle text No Title that will be displayed above the chart
orientation select No Orientation of the box plot
boxColor color No Color for the box fill
whiskerColor color No Color for the whiskers (lines extending from boxes)
medianColor color No Color for the median line inside boxes
outlierColor color No Color for outlier points
showOutliers checkbox No Display outlier points beyond the whiskers
showMean checkbox No Display mean value as a diamond shape
showGrid checkbox No Display grid lines for better readability
showStatistics checkbox No Display statistical information (count, mean, std dev)
boxWidth range No Width of the boxes (relative)
outlierSize range No Size of outlier points
chartWidth text No Width of the chart in pixels
chartHeight text No Height of the chart in pixels
marginSize text No Margin around the chart

Response Format

{
  "result": "
Processed HTML content
",
  "error": "Error message (optional)",
  "message": "Notification message (optional)",
  "metadata": {
    "key": "value"
  }
}
HTML: HTML

AI MCP Documentation

Add this tool to your MCP server configuration: 

{
  "mcpServers": {
    "elysiatools-box-plot-generator": {
      "name": "box-plot-generator",
      "description": "Generate box plots for statistical distribution analysis with quartiles, whiskers, and outliers",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=box-plot-generator",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

If you encounter any issues, please contact us at [email protected]