Tv enthusiast likelihood
Ranks an individual's likelihood of being a TV enthusiast, modeled based on whether household members use a smart TV or other type of TV the most for watching television programs, and watch more than 30 hours per week.
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.
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 | tv_ | |
| Category | Lifestyle | fig/lifestyle |
| 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 a greater ranked likelihood. | |
Popularity
How much Faraday's models lean on this attribute.
| Industry | Popularity rank | Average share of weight |
|---|---|---|
| Financial | 175 of 500 | 0.2% |
| Marketing | 362 of 500 | 0.1% |
| Real estate | 176 of 441 | 0.1% |
| Ecommerce | 208 of 279 | 0.1% |