First Steps
To start out with the Analytics View, you first need an account. This is required to keep the data seperate from the other users and to provide you with the ability to save your work. Note, that will published DIDs (e.g. on the blockchain) are known to everyone, the data you add to the Analytics View is only visible to you. Credentials you collected are not shared with other users and won't show up in any other users view.
Pools
Next either create a new pool or select an existing one. A pool is a collection of DIDs, VCs and VPs. It is used to keep the data organized and to provide you with the ability to filter the data. You can create as many pools as you like and switch between them at any time. The system generated a default pool for you, which you can use or delete at any time.
Add Data
The simplest way to start is to just create a new session. Add the Public pool as well as the Default pool to and/or any newly created pool to the session. Then click on "Show Graph" to open the Graph View. If you haven't added any data yet, the graph will be empty. To add data, click on the "Add VC/VP" button in the left top corner.
Add this Credential:
The Credential is a simple example of an issuer did:prism:preprod:53900b7c1f1c7044ed4989ab46570d2927236e9414febe82ea36aaa917a642dd issuing a Credential to a holder using Hyperledger Identus. The Credential is a simple example and doesn't contain any relevant information.
After adding the Credential, the graph will show the connection between the issuer and the Credential, as well as the Holder. Both the issuer and the holder will get extracted from the Credential and displayed as nodes in the graph. The Credential itself will be displayed as a node as well.
You can now continue clicking on the different nodes to get more detailed information about them.
Continue with the Graph View
To continue and test out more complex data, take data from the Example section of this documentation and add it to the graph. You can also add more data from the Analytics Platform API or add data manually. Feel free to put multiple datasets in just a single view, to see other relationships between them.