Heatmap Chart

Heatmap Chart – Turn Data Density into Visual Intensity

The Heatmap Chart in Lowcoder transforms raw numerical data into a vibrant grid of color-coded cells, helping you instantly identify patterns, anomalies, or concentration zones in large datasets. It’s a visual way of answering: "Where is the intensity highest?"

Perfect For:

• Website analytics: Track clicks or engagement across a page

• User behavior grids: View activity by time and category

• Correlation matrices: Compare how variables relate to one another

• Calendar heatmaps: Spot daily, weekly, or monthly trends (e.g., GitHub commits)

Data Format Example

Each cell requires an X and Y coordinate with a value:

[
  { "x": "Monday", "y": "User A", "value": 5 },
  { "x": "Tuesday", "y": "User A", "value": 12 },
  { "x": "Monday", "y": "User B", "value": 9 }
]

You can dynamically bind this from queries or transformers.

Configuration Highlights

• Chart Type: Drag “Heatmap Chart” from the Components on the Editor View.

• Axes: Define horizontal and vertical dimensions (e.g., time, user, region)

• Color Encoding: Value intensity is represented using a color gradient

• Tooltips: Hover to display exact values in each cell

Custom Styling

• Use color palettes to show scale (e.g., blue to red, green to yellow)

• Apply spacing, border styles, or rounded corners to each cell

• Customize label visibility for cleaner or more data-dense displays

• Advanced? Use ECharts JSON config to fine-tune the layout and interactions

Component Playground

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Component Auto-Docs

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