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Graph

Sqliteviz allows building a graph. To build a graph run a query to get data. Then open visualisation panel by clicking in any of the two side toolbars and choose a graph mode by clicking .

Requirements for result set

To build a graph, a result set must follow the following requirements:

  • the first column must contain JSONs (the rest columns in the result set will be ignored)
  • each JSON has a common key indicating if the record represents a node (value 0) or an edge (value 1)
  • each JSON representing a node has a common key with a node id
  • each JSON representing an edge has a common key with the edge source and a common key with the edge target

Each JSON can have more fields used for graph styling (read more in Graph styling).

Graph settings

Start building a graph by setting a mapping from your records to nodes and edge properties. Go to Structure -> 'Graph' and set the following fields:

  • Object type – a field containing 0 for node records and 1 for edge records.
  • Node Id – a field containing node identifier
  • Edge source - a field keeping a node identifier where the edge starts.
  • Edge target - a field keeping a node identifier where the edge ends.

Fig. 1: Table

There are several built-in chart views for a pivot. But you can build your own with Custom chart view (fig. 4).

Fig. 4: Custom Chart

Note: You can switch to other pivot views and back to Custom chart – all your custom chart settings will be remembered. But if you switch the visualisation mode from pivot to any other mode, unsaved changes will be lost.

Pivot table SQL

Pivot table (in the form of a result set) can be built on the SQL-level and, technically speaking, can be visualised as any other result set. Practically though there are a couple of challenges with that:

  1. Visualising a dataset of long/tall shape is much more convenient in Plotly (chart editor) rather than one of wide/fat shape.
  2. SQLite doesn't have a special constructs like PIVOT or CROSSTAB in its SQL dialect.

How to build a pivot table in SQL(ite) explores two options with static (or beforehand-known) and dynamic columns.