3 Properties and Extract

To follow along, you can download:

https://kineviz.com/s/GXR_QSG.zip

Unzip, and drag and drop the Characters.csv file to a project space.

3

When we drop Characters.csv on the graph space, columns in the spreadsheet (name, houseName, etc become properties of the nodes. For a table of the nodes and their properties, click Table on the Main Menu, and the Category label.

4

We can use a property to define a new category and relationship and extract new nodes and edges connected to the original Character nodes.

5

Let’s switch to Property view. In the Legend, click the Property tab. A dropdown menu with the first property name appears. Below it is a scrollable list of each unique value for that property in the graph.

6

The houseName property has just a few unique values, one for each of the great houses (families) in Game of Thrones. Now let’s create nodes for the Houses. Open the Transform panel => Extract tab.

7

The Transform panel includes some of GraphXR’s most powerful capabilities, letting you interactively model your data. Transforms affect the whole graph if nothing is selected. If you make a selection, a transform operates on only those elements.

8

We’ll create a House category from the houseName property, and a BELONGS_TO relationship in the process that links House nodes to their Character node sources.

9

Set houseName as a key so that a single node is created for each unique value of houseName, and not a separate one for every source node. Now click Run.

10

In the Legend, click the Category and Relationship tabs. You’ll see that a node has been created for each House, and Character nodes are now connected to a House via edges of the BELONGS_TO relationship.

11

Click the Property tab, and notice that Characters with an empty houseName property value are assigned to a House labeled not available. If you click the skip empty checkbox before extracting, those Character nodes remain unconnected.

12

This is a good time to save our work! Open the Project panel => Data tab. You can download the current state of your graph as a GraphXR (GXRF) file, export it as a group of CSVs ( or write back to a Neo4j database, if you have connected to one).

13

You can also save to the cloud by creating a View. Enter a descriptive name and click Save View. The current view is highlighted.
You can load any saved view, update or delete it, and share it with another user.

14

Now that we’ve saved our progress, let’s go on to Module 4: Link and Filter and bring in more data.