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(First time here? See the "Executive Summary" below)

• Including the Framework
• My First Visualization
• [Setting/Getting Properties](https://github.com/hpcc-systems/Visualization/wiki/Setting Properties)
• Fetching Data
• Events
• Layouts
• Serialization
• Extending the Framework

#Executive Summary What makes the HPCC Visualization Framework different from regular charting / visualization libraries:

• Framework independent (no direct dependencies on JQuery, Dojo, Lodash etc.)
• Dynamically includes many 3rd party charting libraries:
  • Google
  • C3
  • AM Charts
  • D3
• Includes HPCC specific visualizations
• Provides a consistent API/Methodology for ingesting common data shapes:
  • 2-D Data (Pie, Bar...)
  • N-D Data (Bar, Line, Scatter...)
  • 1-D Data (Gauges, Sliders, Summaries...)
  • Relational (Hierarchies, Graphs...)
  • Geospatial (Choropleths, Maps)
• Provides a consistent interface for setting/getting visualization properties.
• Provides serialization/deserialization of visualizations (run-time design mode, with save/restore)
• Layouts: Several layouts to facilitate the creation of dashboards (Grid, Border, Tabbed, Overlay...)
• Compositions: Create new visualizations by combining existing ones.
• Comms / Marshallers: ASync jsonp request/response support for fetching data, both from generic services, but primarily for the HPCC Platform.

Package Distribution

The framework is available as both pre-built packages as well as plain sources, it also supports both AMD (preferred) and Non-AMD paradigms (for those who love/hate RequireJS and its kin).

The pre-built packages can be found at (specific versions subject to change!):

• CDN Server (AMD) - http://viz.hpccsystems.com/v1.6.6/dist-amd/
• CDN Server (Non AMD) - http://viz.hpccsystems.com/v1.6.6/dist/
• Bower - hpcc-viz (both AMD and Non-AMD)
• GitHub - https://github.com/hpcc-systems/Visualization/releases (both AMD and Non-AMD)

And the sources can be found here:

• GitHub - https://github.com/hpcc-systems/Visualization