Data catalog
Amusement park attendees likelihood
Likelihood that an individual visits theme, amusement, or water parks, modeled from past-year visits and stated intent to return next season.
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 | amusement_ | |
| Category | Lifestyle | fig/lifestyle |
| Unit | Rank | rank |
| Type | Integer | long |
| Statistical type | Ordinal | ordinal |
| Allowed values | Not applicable | null |
| Deprecation | Not deprecated | false |
| Derivations | Modeled | ["modeled"] |
| Directionality | Higher number means a greater ranked likelihood. | |
Popularity
How much Faraday's models lean on this attribute.
| Industry | Popularity rank | Average share of weight |
|---|---|---|
| Solar | 50 of 194 | 0.5% |
| Ecommerce | 154 of 279 | 0.2% |
| Financial | 303 of 500 | 0.1% |
| Home services | 198 of 243 | 0.1% |
| Real estate | 348 of 441 | 0.1% |