Data catalog
Construction quality
Overall measure of building construction quality
The Faraday Identity Graph contains 1,500+ consumer attributes that can be used by brands, software platforms, and data science teams. Each attribute can be appended in batch or in real time. Also, Faraday supports creating propensity, recommender, and cluster models based on this data.
Technical details
These technical details describe how Faraday represents this attribute internally.
| Property | Value | API value |
|---|---|---|
| API name | construction_ | |
| Category | Property | fig/property |
| Unit | Not applicable | null |
| Type | Integer | long |
| Statistical type | Ordinal | ordinal |
| Allowed values | Not applicable | null |
| Deprecation | Not deprecated | false |
| Directionality | Not applicable | |
Interpretation table
For enumerable attributes, a mapping from values to their interpretations. The key type matches the attribute's data type, and the value is always a string interpretation.
| Value | Interpretation |
|---|---|
1 | Luxury |
2 | Excellent |
3 | Good |
4 | Above Average |
5 | Economical |
6 | Fair |
7 | Below Average |
8 | Poor |
10 | Low |