Key Facts
- Category
- Data Visualization
- Input Types
- textarea, text, select, color, number, checkbox
- Output Type
- html
- Sample Coverage
- 4
- API Ready
- Yes
Overview
The Matrix Chart Generator allows you to transform raw numerical data into clear, visual correlation or comparison matrices. By mapping values to color intensities, this tool helps you quickly identify patterns, trends, and relationships within your datasets using a customizable grid layout.
When to Use
- •Visualizing correlation coefficients between multiple variables in a dataset.
- •Creating heatmaps to compare performance metrics across different categories.
- •Presenting complex numerical relationships in a simplified, color-coded grid format.
How It Works
- •Input your data as a 2D JSON array or a comma-separated CSV string.
- •Select a color scheme to represent the intensity of your data values.
- •Adjust display settings like cell size, font size, and grid visibility to suit your layout needs.
- •Generate the chart to visualize your data with automatic or custom value scaling.
Use Cases
Examples
1. Correlation Matrix Visualization
Data Analyst- Background
- An analyst needs to present the correlation between four different market variables to stakeholders.
- Problem
- Raw numerical data is difficult to interpret during a presentation.
- How to Use
- Paste the correlation matrix data into the input field and select the 'Blue Scale' for a professional look.
- Example Config
-
colorScheme: blue, showValues: true, showGrid: true - Outcome
- A clean, color-coded matrix that clearly highlights strong positive correlations with darker blue shades.
2. Performance Heatmap
Project Manager- Background
- A manager wants to compare the output of five departments over six months.
- Problem
- Identifying underperforming months across departments is slow using standard tables.
- How to Use
- Input the monthly performance data as a 2D array and use the 'Red Scale' to highlight low-performance areas.
- Example Config
-
colorScheme: red, showValues: false, showGrid: true, cellSize: 60 - Outcome
- A visual heatmap where lower performance values are highlighted in deep red, allowing for immediate identification of problem areas.
Try with Samples
json, csvRelated Hubs
FAQ
What data formats are supported?
You can input data as a 2D JSON array or a CSV string with comma-separated values.
Can I set custom ranges for the color scale?
Yes, you can specify custom Minimum and Maximum values to define the color intensity range, or leave them blank for automatic scaling.
Is it possible to hide the numeric values inside the cells?
Yes, simply uncheck the 'Show Cell Values' option in the settings.
Can I change the size of the matrix cells?
Yes, you can adjust the 'Cell Size' setting between 20 and 100 pixels to fit your requirements.
Does the tool support different color palettes?
Yes, you can choose from several presets including Blue, Red, Green, Purple, Orange, Teal, Grayscale, and Rainbow scales.