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Data injection to Neo4j with GraphXR:
Quick, easy, and code-free
delve deeper
Populating a new Neo4j database using GraphXR is quick, easy, and code free. Start by downloading and
installing Neo4j desktop from https://neo4j.com/download/.
Next, visit https://install.graphapp.io/ and click install under the GraphXR panel. You’ll be prompted to
open the link in Neo4j Desktop. Click “yes.”
Confirm you trust and wish to install the GraphXR Graph App.
Now it’s time to create an empty database. Click “New Project.”
Enter a name for your project, then click “Add Graph.”
Select “Create a Local Graph.”
Enter a name and password for your new database, then click “Create.”
Next, click “Add Application”...
...and “Add” GraphXR.
You’re all set up! Now we’re ready to begin the visual ETL (Extract, Transform, Load) process. Click “Start”
You’ll notice you have 0 nodes and 0 relationships. Let’s change that. Click the GraphXR Graph App
If you already have a GraphXR login, enter it now. Otherwise, click “Sign Up” or visit
https://graphxr.kineviz.com to create your GraphXR account.
Once you’re signed in, you’ll find yourself in an empty workspace. Let’s populate it.
We’ll use this spreadsheet of Game of Thrones characters, available at
https://kineviz.com/s/GoT_characters.csv. Thanks to Jeffrey Lancaster for compiling this data.
Now drag and drop the CSV into your GraphXR workspace.
Each row becomes a node. Because each row contains an image link, that image shows up as the profile
image. Let’s turn those off for now.
Auto Show Image enables you to use an image link as an icon. Go to your “Project” panel=>”Settings” tab
and disable “Auto Show Image.”
Now we can start to model the graph. Go to the “Project” panel=>”Property” tab and select “houseName”
If you click the “Property” tab in the legend, you’ll see each character’s node has been colored according
to their house affiliation (or left gray for none).
Let’s create a node for each house. Go to the “Connector” Panel=>”Extract” tab.
We only have one data type, so “Source Label” is fine as is. Set “New Node” and “New Rel” to “House”
and “character_belongs_to_house” respectively. Select “houseName” from the “Props” dropdown.
I preper a convention of Capital first
character for Label, camel case for
property, and link words with “_” for
relationship. So in this case:
Label: House
Property: killedBy
Relationship: belongs_to
Actually relationship should be as
complete as possible, so we should
use: character_belongs_to_house
Click add and check the “Is Key” box. This ensures that only one node will be created for each house,
rather than a separate house node for every character.
Click “Run” to generate your House nodes. Note that if you have any nodes selected, the Extract operation
will only be applied to them. Leave nothing selected to act on all nodes within a label.
Now each character is connected to a node representing their house. Next let’s create a new relationship
from the “killedBy” property. Go to the “Connector” panel=>”Link” tab.
Set both Source and Target Label to “csvImport.” Set “characterName” as the Source Prop and “killedBy”
as the Target Prop. Enter “character_killed_by_character” for the New Relationship name.
Click “Run” to create the new relationship.
Let’s go back to the “Project” panel=>”Settings” tab to turn portraits back on and verify our results. It looks
like we have everything modeled correctly.
Let’s save this graph back to Neo4j (Important! Only do this with an empty database, merging to an
existing DB is coming soon). Go to the “Project” panel=>”Data” tab and click “Save to Neo4j.”
A dialog box will appear. Since we launched GraphXR from Neo4j desktop, the correct values will already
be filled in. Click “Save to Neo4j.” Once you see “Save Successful” you can close GraphXR.
Wait, why does our database still show up with 0 nodes and 0 relationships?!
Click “Stop” and the information will refresh. Our visual ETL was a success! Congratulations on populating
your Neo4j database.

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Data injection to Neo4j with GraphXR: Quick, easy, and code-free

  • 1. Data injection to Neo4j with GraphXR: Quick, easy, and code-free delve deeper
  • 2. Populating a new Neo4j database using GraphXR is quick, easy, and code free. Start by downloading and installing Neo4j desktop from https://neo4j.com/download/.
  • 3. Next, visit https://install.graphapp.io/ and click install under the GraphXR panel. You’ll be prompted to open the link in Neo4j Desktop. Click “yes.”
  • 4. Confirm you trust and wish to install the GraphXR Graph App.
  • 5. Now it’s time to create an empty database. Click “New Project.”
  • 6. Enter a name for your project, then click “Add Graph.”
  • 7. Select “Create a Local Graph.”
  • 8. Enter a name and password for your new database, then click “Create.”
  • 9. Next, click “Add Application”...
  • 11. You’re all set up! Now we’re ready to begin the visual ETL (Extract, Transform, Load) process. Click “Start”
  • 12. You’ll notice you have 0 nodes and 0 relationships. Let’s change that. Click the GraphXR Graph App
  • 13. If you already have a GraphXR login, enter it now. Otherwise, click “Sign Up” or visit https://graphxr.kineviz.com to create your GraphXR account.
  • 14. Once you’re signed in, you’ll find yourself in an empty workspace. Let’s populate it.
  • 15. We’ll use this spreadsheet of Game of Thrones characters, available at https://kineviz.com/s/GoT_characters.csv. Thanks to Jeffrey Lancaster for compiling this data.
  • 16. Now drag and drop the CSV into your GraphXR workspace.
  • 17. Each row becomes a node. Because each row contains an image link, that image shows up as the profile image. Let’s turn those off for now.
  • 18. Auto Show Image enables you to use an image link as an icon. Go to your “Project” panel=>”Settings” tab and disable “Auto Show Image.”
  • 19. Now we can start to model the graph. Go to the “Project” panel=>”Property” tab and select “houseName”
  • 20. If you click the “Property” tab in the legend, you’ll see each character’s node has been colored according to their house affiliation (or left gray for none).
  • 21. Let’s create a node for each house. Go to the “Connector” Panel=>”Extract” tab.
  • 22. We only have one data type, so “Source Label” is fine as is. Set “New Node” and “New Rel” to “House” and “character_belongs_to_house” respectively. Select “houseName” from the “Props” dropdown. I preper a convention of Capital first character for Label, camel case for property, and link words with “_” for relationship. So in this case: Label: House Property: killedBy Relationship: belongs_to Actually relationship should be as complete as possible, so we should use: character_belongs_to_house
  • 23. Click add and check the “Is Key” box. This ensures that only one node will be created for each house, rather than a separate house node for every character.
  • 24. Click “Run” to generate your House nodes. Note that if you have any nodes selected, the Extract operation will only be applied to them. Leave nothing selected to act on all nodes within a label.
  • 25. Now each character is connected to a node representing their house. Next let’s create a new relationship from the “killedBy” property. Go to the “Connector” panel=>”Link” tab.
  • 26. Set both Source and Target Label to “csvImport.” Set “characterName” as the Source Prop and “killedBy” as the Target Prop. Enter “character_killed_by_character” for the New Relationship name.
  • 27. Click “Run” to create the new relationship.
  • 28. Let’s go back to the “Project” panel=>”Settings” tab to turn portraits back on and verify our results. It looks like we have everything modeled correctly.
  • 29. Let’s save this graph back to Neo4j (Important! Only do this with an empty database, merging to an existing DB is coming soon). Go to the “Project” panel=>”Data” tab and click “Save to Neo4j.”
  • 30. A dialog box will appear. Since we launched GraphXR from Neo4j desktop, the correct values will already be filled in. Click “Save to Neo4j.” Once you see “Save Successful” you can close GraphXR.
  • 31. Wait, why does our database still show up with 0 nodes and 0 relationships?!
  • 32. Click “Stop” and the information will refresh. Our visual ETL was a success! Congratulations on populating your Neo4j database.