Mexican dining enthusiast likelihood
Ranks an individual's likelihood to be a Mexican dining enthusiast, modeled based on whether the household always or regularly selects Mexican food and purchases it four or more times per month when purchasing food for dine-in, take-out, or delivery.
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 | mexican_ | |
| 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 |
|---|---|---|
| All industries | 431 of 500 | 0.1% |
| Marketing | 427 of 500 | 0.1% |
| Financial | 487 of 500 | 0.1% |
| Real estate | 297 of 441 | 0.1% |