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Grouped Bar Chart Generator

Generate grouped bar charts for comparing multiple categories side by side, perfect for multi-category comparisons and comparative analysis

Multi-series data with categories and series arrays. Each series should have the same number of data points as categories.

Title that will be displayed above the chart

Colors for different series (comma-separated hex colors). Leave empty for default colors.

Background color for the chart container

Color for the grid lines

Width of individual bars in pixels (auto-adjusts if too large)

Spacing between different groups in pixels

Height of the chart in pixels

Maximum value for axis (leave empty for auto-scale)

Minimum value for axis (leave empty for auto-detect)

Label for the X-axis

Label for the Y-axis

Display grid lines for better readability

Display the actual values on or near bars

Display a legend below the chart

Key Facts

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

Overview

The Grouped Bar Chart Generator allows you to create professional, side-by-side bar charts to effectively compare multiple data series across different categories. This tool is ideal for visualizing complex datasets, enabling clear comparative analysis for presentations, reports, and data-driven decision-making.

When to Use

  • •When you need to compare multiple data series across the same set of categories.
  • •When you want to highlight differences in performance or values between groups.
  • •When creating visual summaries for reports that require clear, multi-series data representation.

How It Works

  • •Input your data in the required JSON format, specifying categories and series arrays.
  • •Customize the chart appearance by adjusting orientation, bar colors, and axis labels.
  • •Configure layout settings such as bar width, group spacing, and chart dimensions.
  • •Generate and preview your chart, then use the toggle options to show or hide grid lines, values, and legends.

Use Cases

Comparing quarterly sales performance across different product lines.
Visualizing survey results where multiple demographic groups are compared against several response categories.
Benchmarking website traffic sources across different months or marketing campaigns.

Examples

1. Quarterly Product Sales Comparison

Sales Analyst
Background
The analyst needs to present the sales performance of three different products over four quarters to the management team.
Problem
Standard tables make it difficult to quickly identify which product performed best in specific quarters.
How to Use
Input the quarterly sales figures for each product into the Chart Data field and set the chart title to 'Quarterly Sales Performance'.
Example Config
{"categories": ["Q1", "Q2", "Q3", "Q4"], "series": [{"name": "Product A", "data": [120, 150, 170, 160]}, {"name": "Product B", "data": [90, 110, 130, 140]}, {"name": "Product C", "data": [70, 80, 95, 110]}]}
Outcome
A clear, grouped bar chart that allows stakeholders to instantly compare product growth trends side-by-side.

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FAQ

What data format does the tool require?

The tool requires a JSON object containing a 'categories' array and a 'series' array, where each series includes a name and a corresponding data array.

Can I change the orientation of the bars?

Yes, you can switch between vertical and horizontal bar orientations using the Chart Orientation setting.

Is it possible to customize the colors of the bars?

Yes, you can provide a comma-separated list of hex color codes in the Bar Colors field to match your branding or preference.

Can I display the exact values on the chart?

Yes, enable the 'Show Values' checkbox and select your preferred position (top, bottom, or inside) to display data points directly on the bars.

Does the chart automatically scale the axes?

Yes, the tool automatically scales the axes based on your data, but you can manually override the minimum and maximum values if needed.

API Documentation

Request Endpoint

POST /en/api/tools/grouped-bar-chart

Request Parameters

Parameter Name Type Required Description
chartData textarea Yes Multi-series data with categories and series arrays. Each series should have the same number of data points as categories.
chartTitle text No Title that will be displayed above the chart
chartType select No -
barColors text No Colors for different series (comma-separated hex colors). Leave empty for default colors.
backgroundColor color No Background color for the chart container
gridColor color No Color for the grid lines
barWidth number No Width of individual bars in pixels (auto-adjusts if too large)
groupSpacing number No Spacing between different groups in pixels
chartHeight number No Height of the chart in pixels
maxValue number No Maximum value for axis (leave empty for auto-scale)
minValue number No Minimum value for axis (leave empty for auto-detect)
xAxisLabel text No Label for the X-axis
yAxisLabel text No Label for the Y-axis
showGrid checkbox No Display grid lines for better readability
showValues checkbox No Display the actual values on or near bars
valuePosition select No -
showLegend checkbox No Display a legend below 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-grouped-bar-chart": {
      "name": "grouped-bar-chart",
      "description": "Generate grouped bar charts for comparing multiple categories side by side, perfect for multi-category comparisons and comparative analysis",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=grouped-bar-chart",
      "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]