Since October of 2017, Vertical Knowledge captures weekly car rental pricing data from nine rental car companies across the top 50 US airports. Vertical Knowledge collects pricing for different periods (weekly, weekend, weekday), and different future time periods (3 months, 2 months, 1 month, 2 weeks, 1 week, and a few days). These data points span across car types (mid-size, full-size, SUV, etc.).
This data set enables investors to understand relative pricing trends across brands and year-over-year price comparisons. In addition to analyzing the Rental Car industry, the data provides useful insights into the travel industry and airport volumes.
*Don’t see what you are looking for or interested in sample data? [Vertical Knowledge](https://vk.ai) has hundreds of data sets with history as well as custom collections. [Contact VK now.](https://vk.ai/contact.html)*
Limited free sample of IMDb's world-renowned 1-10 star rating, a daily-computed average of votes from IMDb's global audience of 250 million visitors. Data set includes the title, release year or first air date, any known alternative titles, as well as the number of votes. For free access please...
iPatientAxis is a global clinical trial and data services organization who has aggregated a diverse longitudinal database of de-identified real-world clinical EMR data of over 19,000,000 unique patients. This robust Diabetes aggregate data analysis is just one of the indications that iPA has...
This listing consists of a dataset containing the complete Electronic Medical Records related to dermatitis related disease conditions over 1000 patients within the United States. The data is simulated based on clinical knowledge and census demographics.
| Heapery Attribution License | Heapery-Private |
| Category | Business & Industry |
| 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 |
