Visualization, Dashboards, and Data Applications

Data visualization is used to provide an intuitive insight on the data phenomena that has been elaborated on top of platform data and services. The visualization is provided in a form of various dashboards and dashboard-based applications and may be used in different scenarios. Common to the visualization problem are the following requirements:

• Possibility to have a wide range of visualization types (charts, maps) and interactions (filters, details, drill down)
• Possibility to control the access to the dashboards, ranging from public to private based on the user roles and permissions. Related to this is the possibility to share the dashboard.
• Integration with the other platform components, both for data sources and for access control.

Visualization tools that can access Digital Hub may be divided in two categories:

• Tools that work directly with data sources, such as “online” storages (e.g., PostgreSQL) or data lake (e.g., file in MinIO). This includes tools sucha SQLPad and Grafana.
• Tools that connects to the services and data exposed as “Data Interfaces”: DSS, GeoService, API REST, etc. For this purpose the platform adopts Cyclotron.

• SQLPad
  • Screenshots
  • Installation
  • Platform fork
  • Building from source
  • ODBC
• Grafana
  • Installation
  • Features
  • Concepts
    • Dashboard
    • Data source
    • Organization
    • Panel
    • Query editor
    • Row
    • User
  • Integration
    • Integration within the DigitalHub platform
      • 1. Create AAC OAuth keys
      • 2. Enable AAC OAuth in Grafana
• Cyclotron
  • AAC Integration
    • Authentication Methods
    • Authentication Configuration with OAuth2
      • Frontend Configuration
      • Backend Configuration
      • Role mapping
    • Client Application Configuration on AAC
    • Using Cyclotron API
      • AAC Roles and Cyclotron Permissions
      • Creating Private and Public Dashboards
      • Restricting Access to Dashboards in JSON
      • Testing
  • Time Slider Widget
    • Configuration
      • Player
      • Pips
      • Specific Events
    • Examples
      • Basic slider with four pips matching slider values
      • Vertical slider with Player and Tooltips
      • Slider with two handles and Parameter generation
  • OpenLayers Widget
    • Configuration
      • Layers
      • Overlay Groups
      • Controls
      • Data Source Mapping
      • Specific Events
    • Examples
      • OSM layer and WMS layer with zoom control
      • Default OSM layer and some overlays
      • Parametric ImageWMS layer
      • Vector layer with GeoJSON features
    • Notes
  • Google Charts Widget
    • Configuration
      • Options
      • Columns
      • Formatters
    • Examples
      • Basic column chart
      • Column chart with formatter
      • Line chart with date column
  • Deck.gl Widget
    • Configuration
      • Layers
    • Examples
      • Basic ScatterplotLayer
      • Adding a tooltip
      • Multiple interactive layers
  • Widget Container
    • Layout Configuration
    • Example
  • OData Data Source
    • Configuration
      • URL
      • Response Adapter
  • Parameter-based Interaction
    • Parameter Generation
    • Subscription to Parameter Updates
  • Installation