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Analytical Heat Map

The Analytical Heat Map widget visually represents data intensity or frequency using color gradients, making it easy to spot patterns, trends, and anomalies across two dimensions. This widget is especially useful for high-dimensional or time-based data, offering insights through a compact, intuitive visualization.

Key Features​

  • Metric and Organizational Unit Selection: Choose the specific data and organizational unit to analyze.
  • Aggregation Type: Define how data points are aggregated, such as average, sum, or count, for accurate analysis.
  • Time Range Customization: Analyze data over predefined time ranges, such as the last 7 days or last 30 days.
  • Granularity Settings: Set the granularity for both the x-axis and y-axis (e.g., day, hour, week) to determine the data's level of detail.
  • Color Gradient Visualization: Automatically highlights data patterns using color intensity, helping users identify trends and anomalies at a glance.

Use Cases​

  • Operational Analysis: Identify periods of high or low activity in production, energy usage, or other operational metrics.
  • Trend Spotting: Visualize data distribution across multiple time frames to uncover recurring patterns.
  • Anomaly Detection: Quickly identify outliers or deviations from normal trends.

Step-by-Step Guide to Set Up the Analytical Heat Map​

  1. Navigate to Dashboards.
  2. Click on the pencil icon in the top-right corner.
  3. Click on the Add Widget icon.
  4. Select Analytical Heat Map and click Next.
  5. Fill out the following fields:
    • Metric: Select the metric you want to analyze (e.g., energy usage, Electricity, Heat).
    • Aggregation Type: Choose the method of aggregation (e.g., average, sum, count) for data points.
    • Organizational Unit: Select the organizational unit to narrow down the scope of data analysis.
    • Widget Name: Enter a descriptive name for the widget (e.g., "Production Heat Map").
    • Time Range: Specify the time range for the analysis (e.g., "Last 7 Days").
    • Granularity X: Set the granularity for the x-axis (e.g., day, hour, month).
    • Granularity Y: Set the granularity for the y-axis (e.g., hour, week).
  6. Click Submit to finalize the widget setup.
  7. Click Save to apply the widget to your dashboard.

Your Analytical Heat Map is now ready to provide a clear and intuitive visualization of data trends and patterns, enabling informed decision-making.

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