Dashboards ========== The Dashboards module provides Aurora’s Dashboard Builder for creating interactive analytical views that combine maps, charts, tables, metrics, and spatial analysis. Dashboards link datasets, maps, and analytics into a unified workspace for exploration and decision support. Overview -------- An Aurora dashboard is composed of configurable widgets arranged in a grid layout. Widgets connect to Aurora datasets and maps and update dynamically in response to filters, selections, and spatial interactions. Dashboards enable: - Data exploration - Spatial analysis - Statistical summaries - Map-chart interaction - Comparative views - Monitoring and reporting Dashboard Builder ----------------- Dashboards are created and edited in the Dashboard Builder. The Builder provides: - Widget palette - Drag-and-drop layout - Dataset selection - Configuration panels - Interactive filtering - Save and publish controls Widgets can be resized and arranged to create analytical layouts. Widget Types ------------ Aurora dashboards support multiple widget types. Map ^^^ Embeds an interactive Aurora map. Maps in dashboards: - Display dataset layers - Respond to filters - Drive linked charts - Support selection and zoom - Provide spatial context Chart ^^^^^ Displays dataset charts such as: - Bar - Line - Pie Charts update based on filters and map selections. Table ^^^^^ Displays dataset attributes in tabular form. Tables support: - Sorting - Filtering - Selection - Group summaries Counter ^^^^^^^ Displays aggregated metrics from a dataset. Examples: - Count - Sum - Average - Min / Max Counters provide quick KPI-style indicators. Filters ^^^^^^^ Adds dataset filter controls to the dashboard. Filters allow users to: - Select attribute values - Restrict features - Drive all linked widgets Filters synchronize maps, charts, and tables. Vector Analysis ^^^^^^^^^^^^^^^ Provides statistical summaries for vector datasets. Vector analysis includes: - Count - Nulls - Min / Max - Sum - Mean - Median - Standard deviation - Distinct values These summaries update with filters and selections. Raster Analysis ^^^^^^^^^^^^^^^ Provides statistical summaries for raster datasets. Raster analysis widgets calculate statistics for raster values within the current map or selection. Hot Spot ^^^^^^^^ Displays hotspot analysis summary statistics derived from spatial clustering analysis. Outlier ^^^^^^^ Displays outlier analysis summary statistics identifying anomalous spatial features. HTML ^^^^ Adds formatted HTML content to dashboards. HTML widgets support: - Text - Images - Links - Descriptive panels - Instructions Interactions ------------ Aurora dashboards support linked interactions across widgets. Interactions include: - Filter ? updates all widgets - Map selection ? updates charts and tables - Chart selection ? filters map - Widget selection ? updates summaries - Spatial radius / selection ? updates analysis This enables coordinated spatial and statistical exploration. Layout ------ Dashboards use a flexible grid layout. Widgets can be: - Added - Moved - Resized - Removed This allows custom analytical arrangements. Relationship to Maps -------------------- Maps act as spatial anchors within dashboards. Maps can: - Drive filters - Provide selection context - Define analysis extent - Synchronize with charts - Highlight features Dashboards reference Aurora maps and datasets directly. Relationship to Datasets ------------------------ All dashboard widgets connect to Aurora datasets. Datasets may originate from: - Imports - Pipelines - Views - Clip / Dissolve operations - GeoSync Dataset updates automatically propagate to dashboards. Typical Uses ------------ Aurora dashboards are used for: - Spatial data analysis - Monitoring indicators - Comparing groups - Exploring distributions - Identifying hotspots and outliers - Reporting spatial statistics - Operational monitoring Examples: - Enrollment by district - Assets by region - Population by category - Service coverage - Infrastructure metrics Publishing ---------- Dashboards can be saved and shared within Aurora. They can be: - Embedded in apps - Linked from maps - Used in reports - Shared with users Relationship to Other Modules ----------------------------- Dashboards integrate with: - :doc:`maps` — spatial context and selection - :doc:`views` — filtered datasets - :doc:`pipelines` — updated data sources - :doc:`geosync` — field data dashboards - :doc:`reporting` — analytical outputs