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Data Visualization

Stacked Bar Chart Generator

· Last updated：2025-11-06

Generate interactive stacked bar charts to visualize categorical data composition, perfect for comparing multiple data series across categories

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Written by the Elysia Tools team
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Tool usage guide

Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Category
Data Visualization
Input types
textarea, text, select, number, color, checkbox
Output type
html
Sample coverage
4
API ready
Yes

Overview

The Stacked Bar Chart Generator allows you to create interactive, professional-grade charts to visualize the composition of categorical data across multiple series. It is an ideal tool for comparing part-to-whole relationships and tracking trends across different categories with ease.

When to use

  • When you need to compare the total values of different categories while showing the breakdown of sub-groups.
  • When you want to visualize how the composition of a specific metric changes across time periods or groups.
  • When you need to present complex multi-series data in a clean, interactive format for reports or presentations.

How it works

  1. 1Input your data in the required JSON format, specifying the category, series name, and corresponding value for each data point.
  2. 2Customize the chart appearance by selecting a color scheme, adjusting the chart height, and toggling display options like grid lines or legends.
  3. 3Choose your preferred value format, such as currency or percentage, to ensure the data is presented clearly.
  4. 4Generate the interactive chart to view, hover for tooltips, or export for your project.

Use cases

  • Visualizing quarterly sales performance broken down by individual product lines.
  • Comparing the demographic composition of different customer segments across regions.
  • Tracking budget allocation across various departments over multiple fiscal years.

Examples

1. Quarterly Product Sales Analysis

Sales Analyst

Background

A sales analyst needs to present how different product lines contributed to total revenue over four quarters.

Problem

Standard tables make it difficult to see the total growth while simultaneously identifying which products are driving that growth.

How to use

Input the quarterly sales data for each product, set the value format to 'Currency ($)', and enable tooltips for detailed viewing.

[{"category": "Q1", "series": "Product A", "value": 100}, {"category": "Q1", "series": "Product B", "value": 150}, {"category": "Q2", "series": "Product A", "value": 120}, {"category": "Q2", "series": "Product B", "value": 180}]

Outcome

A clear, interactive stacked bar chart showing total quarterly revenue with distinct color-coded segments for each product.

FAQ

What data format is required?

The tool requires a JSON array of objects, where each object contains 'category', 'series', and 'value' keys.

Can I use custom colors for my chart?

Yes, select 'Custom Colors' in the color scheme dropdown and provide a JSON array of hex color codes.

Does the chart support percentages?

Yes, you can toggle the 'Show Percentages' option to display the relative contribution of each segment instead of raw values.

Are the generated charts interactive?

Yes, the charts include hover-enabled tooltips to display detailed information for each segment.

Can I adjust the size of the chart?

Yes, you can specify the chart height in pixels, ranging from 300 to 800 pixels.

Hub

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