In this Session…

Before you begin…

  • Inspecting properties.

  • Using Extract to model new categories and relationships from properties.

  • Exporting data and saving data Views.

To follow along, you can download:



How To GraphXR 3. Properties and Extract


Before You Begin…

Ideally, you’ll have worked through Module 2. Import, Navigate, and Select Data. If you’re starting here, and you want to follow along, you’ll need to:

  • Log in to GraphXR, create a Project, and open its graph space. 

  • Download the file, which contains the Game of Thrones data we’ll use in our tutorials.

  • Unzip it and drag and drop the Characters.csv file onto the graph space.


Columns in the Characters.csv spreadsheet (name, etc.) are treated as properties of the node. With a single node selected, press ctrl+i or click the Info icon to show the Info window. You can double click to edit a value, and add properties using the Add Property button.


Adding properties directly to nodes can be convenient but quickly becomes hard to manage. A more scalable way to record a unique property is with a dedicated remark node. Click the Annotate button to create a remark node linked to your current selection.


A remark needs to have one or more properties. Once you’ve added these, click Add Annotation to create the remark.


You’ll notice the new Remark node is a different color from the other nodes. All the nodes created when we imported Characters.csv are automatically assigned to a Characters category. Remark is a separate category. See this by choosing Category on the Legend.


Let’s switch to Property view. In the Legend, click Property. A dropdown with the first  property name appears, and below it a list of each unique value for that property in the graph. The list is scrollable for cases like this where many unique values are detected.


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


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.


We’ll use Extract to create a new House category from the houseName property. We’ll also create a new belongs_to relationship in the process, linking the new House nodes to their Character node sources.


Let’s set houseName as a key so that a single node is created for each unique value of houseName, rather than a separate one for every source node. Now click Run.


A node has been created for each House. Character nodes are now connected to their houses via edges of the belongs_to relationship. This is a good time to save our work!


Open the Project panel => Data tab. Here 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 your database, if you have connected to one.


You can also save to the cloud. We call this creating a View. Enter a descriptive name and click Save View.


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

Next Steps…