Data catalog
Vehicle performance upgrade likelihood
Ranks an individual's likelihood to purchase vehicle performance upgrades in the next 12 months.
Coverage
For how many people does Faraday have a value for this attribute? Depending on the type of attribute, Faraday could know a value for people at the individual level, or infer it based on values it knows for each person's address. Finally, in some cases, we can estimate a value for a person based on what we know about other people in their area.
231,196,884
individuals with known value
0
additional individuals with value imputed from their address
0
additional individuals with value imputed from their geography
231,196,884
individuals with known or imputed value
Time series
Faraday collects observations for this attribute over time. This chart shows how many observations we collected at different times.
Data distribution
Technical details
These technical details describe how Faraday represents this attribute internally.
| Property | Value | API value |
|---|---|---|
| API name | vehicle_ | |
| Category | Vehicles | fig/vehicles |
| Unit | Rank | rank |
| Type | Integer | long |
| Statistical type | Ordinal | ordinal |
| Allowed values | Not applicable | null |
| Deprecation | Not deprecated | false |
| Derivations | Not applicable | null |
| Directionality | Higher number means higher likelihood. | |
Popularity
How much Faraday's models lean on this attribute.
| Industry | Popularity rank | Average share of weight |
|---|---|---|
| Ecommerce | 18 of 279 | 1.4% |
| Real estate | 55 of 441 | 0.3% |
| Solar | 147 of 194 | 0.2% |
| Financial | 412 of 500 | 0.1% |