The 'key' field should provide a unique identifier for the row entity. Each row should define a 'key' field and one or more 'linked fields'. Relational NetworkĪrelational network can be used to represent any dataset where a commonrelationship exists between the rows. At eachlevel, the records will be split by the associated field values. Each field (column) chosen will define another 'level' within the hierarchy. Once you have selected a grouped hierarchy use the field selector on the Network View toolbar to definethe columns in your data set to be included within the network. In a grouped network each node represents a group of records. There can be more than one network type used for a given data set using multiple Network Views.įor any given Network View, there are two broad options for specifying the type of network you wish to visualise, Grouped Hierarchies and Relational Networks: Grouped HierarchiesĪ grouped hierarchy can be used tovisualise almost any type of data. The network type determines how the network will be built based on the relationships in your data set. When you first open a new Network View you will be asked to select a network type.
You can use one of many inbuilt layout algorithms to position the nodes within the view, or use your mouse to move the node arrangement around to create a custom layout best suited to your data. Each node within a network represents a data subset and lines connecting the nodes indicate the relationships between these subsets. The Network View creates a virtual network of interconnecting nodes in your machines' memory to help visualise relationships in your dataset. Using the Network View Visualising connections and hierarchies
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