| 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: * https://kineviz.com/s/GXR_QSG.zip (opens in a new tab), Unzip, and drag and drop the Characters.csv file to a project space. |
| Slide | |
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| 1 | How To GraphXR 3. Properties and Extract |
| 2 | 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 https://kineviz.com/s/GXR_QSG.zip (opens in a new tab), 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. |
| 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. |