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Heatmap Calendar Node

The Heatmap Calendar Node visualizes time-series data in a calendar format, using color intensity to represent values for each day. This node is ideal for displaying trends over time, such as daily sales, website traffic, or energy consumption.

It is particularly useful for identifying patterns, anomalies, and seasonal trends in large datasets.

Overview​

This node requires the user to select a date column and one or more value columns. Each cell in the calendar corresponds to a day, and its color intensity reflects the value.

Key Features​

  • Time-series visualization: Display data trends over days, weeks, or months.
  • Customizable color scales: Adjust color intensity for better representation.
  • Interactive exploration: Integrates with dashboards for detailed analysis.
  • Supports large datasets: Efficiently handles extensive time-series data.

Required Data​

  • dateColumn: The column containing date values.
  • valueColumns: Array of value columns.
  • colorScale, aggregation, tooltip, startOfWeek: Additional display options.

How it works​

  1. Add the Heatmap Calendar Node to your workflow.
  2. Connect your dataset.
  3. Select the date and value columns.
  4. Configure display options as needed.
  5. The node renders a heatmap calendar.

Use Cases​

  • Website traffic analysis: Visualize daily visits over a month or year.
  • Sales trends: Track daily sales performance.
  • Energy consumption: Monitor daily energy usage patterns.
  • Attendance tracking: Analyze attendance data over time.

Benefits​

  • Intuitive visualization of time-series data.
  • Customizable color scales for better insights.
  • Efficient handling of large datasets.