umlaut collects mobile network performance and usage data in a worldwide panel of smartphone users. umlaut crowdsourcing solution is based on an SDK which is integrated into hundreds of Android apps and collects data passively on the customer devices in the background, the data collection is happening in 24/7/365 on such devices. The efficient data collection engine has allowed umlaut to create an extensive footprint world-wide that is unprecedented compared to other similar passive crowd sourcing solutions.
This demo data set contains mobile network coverage for a major mobile network operator in New York City in a high resolution format (approximately 12.5 meter grid size).
Map bundles for several countries covering all major operators are already listed as products on this service. If you are interested in such maps for a country that is not yet listed please contact us at dataproducts@umlaut.com and we will happy to create an offer for you.
Note that this product only contains aggregated statistical data from our crowd panel. In particular, no per-user data or personally identifiable information is included.
This data set contains NinthDecimal visitation data on the top Casual Dining Restaurants brands in the U.S.
Data from Array Analytic's social sentiment model.
auto intenders, car, automobile, dealership, luxury, mid-level, asian, american, european, Buick, Cadillac, Ferrari, Mercedes-Benz, Porsche, Tesla, Chevrolet, Chrysler, Dodge, Ford, Honda, Hyundai, Jeep,Subaru, Toyota, Volkswagen, Audi, BMW, Rolls Royce
| Heapery Attribution License | Heapery-Private |
| Category | Geospatial |
| Data Schema | |
| Support Contact Email Address | support@heapery.com |
| Data Format | |
| Version number | |
| Language | English |
| Data Size | |
| Last Updated Date | 8/11/2020 |
| Refund Policy | Dataset is free and provided as-is |
