Baby shower gift ideas: Stroller/car seat combo is on their registry. Could go…
Fields
| First name | Christine |
|---|---|
| Middle name | Lee |
| Last name | Morgan |
| Home email | christine.morgan@data.com |
| Home street address line 1 | 123 Analytics Ave |
| Home city | San Jose |
| Home state | California |
| Home postal code | 95101 |
| Work email | cmorgan@datacompany.com |
| Work street address line 1 | 456 Silicon Valley |
| Work city | San Jose |
| Work state | California |
| Work postal code | 95110 |
| Company | DataCorp |
| Job title | Data Analyst |
| Mobile phone | 4085552233 |
| Work phone | 4085553344 |
| Date of birth | 1993-02-10T00:00:00.000Z |
| Gender | Female |
| Comments | Expert in SQL and Python |
Linked to
1 record→ the link goes from this record; ← it comes from the other one. These are the edges the build gives the app. A name in the text is only a match on the words and is never treated as a link.
Comments
0
Comments are added in the local viewer; this copy is read-only.
One step out
As the app receives it
1
The graph nodes the build makes for it: the record, and its phones, emails, addresses, pictures and files.
{
"id": "n_test_person_55",
"first_name": "Christine",
"middle_name": "Lee",
"last_name": "Morgan",
"home_email": "christine.morgan@data.com",
"home_street_address_1": "123 Analytics Ave",
"home_city": "San Jose",
"home_state": "California",
"home_postal_code": "95101",
"work_email": "cmorgan@datacompany.com",
"work_street_address_1": "456 Silicon Valley",
"work_city": "San Jose",
"work_state": "California",
"work_postal_code": "95110",
"company": "DataCorp",
"job_title": "Data Analyst",
"mobile_number": "4085552233",
"work_number": "4085553344",
"date_of_birth": "1993-02-10T00:00:00.000Z",
"gender": "Female",
"comments": "Expert in SQL and Python"
}