Heatmap
A heatmap in REAVIZ visualizes data values within a matrix using color variations. This method, first termed by Cormac Kinney in 1991, is effective for showing patterns in correlations across multiple variables. Heatmaps are particularly useful in displaying large datasets and identifying trends that might not be obvious through other chart types.
Types supported by reaviz:
Where to use:
- Visualize Variance: Ideal for displaying variance across multiple variables.
- Identify Patterns: Useful for identifying patterns and correlations in data.
- Analyze Complex Data: Great for analyzing large datasets with multiple variables.
Quick Start
To create a Heatmap, use import the Heatmap and give it data. The chart
will automatically configure itself with the default options exposed via props.
Examples
Heatmap
Year Calendar
Month Calendar
API
HeatmapΒ
CalendarHeatmapΒ
HeatmapSeriesΒ
HeatmapCellΒ
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