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A Data Hub dashboard is a saved collection of visualizations for a metered entity — see Core Concepts for how visualizations, dashboards, and metered entities relate.

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Visualization types

Data Hub visualizations fall into two categories: Trend Analysis — tracks one or more variables over time:
  • Single Point Line / Bar Trend Analysis (one variable)
  • Multi Point Line / Bar Trend Analysis (multiple variables)
  • Heatmap Analysis (data intensity across time or other dimensions)
Comparison — compares variables or entities side by side:
  • Bar Chart Comparison
  • Portfolio Comparison (proportional, hierarchical view)
Visualizations can be filtered by geographic region, organization, building type, specific metered entity, and resource type, and can reference Typical Usage or a Previous Period for context.

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Setup vs. View

Every visualization has two distinct surfaces:
  • Setup — where the visualization is configured (which variables, time window, chart type, filters).
  • View — the actual public-facing URL of the rendered visualization, used for digital signage displays and web embeds.
Customization options differ between the two — some display options (like show/hide header or chart title) are set via URL parameters on the View link rather than in Setup.
This page is a stub for the exact Setup workflow (where in the navigation to create a new visualization, how to select variables and a chart type step by step). That click-by-click walkthrough hasn’t been written up yet — see Sharing & Exporting for how a finished visualization’s View link is used for embedding or digital signage.

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Pinning to a default dashboard

Each metered entity has a Default Dashboard and a set of Default Variables (the variables representing total usage per resource) that appear there. See Core Concepts for the full metered-entity metadata model.