Glossary
user ratings and review counts
user ratings and review counts is aggregate audience-quality measures - average star rating plus the number of ratings or written reviews behind it, which the catalog classifies as a field type. In Datadory's catalog of 1,744 datasets, apple-app-store-10k-apps-dataset-kaggle-ramamet4 attributes and capterra-software-directory are working examples.
What is user ratings and review counts?
Aggregate audience-quality measures - average star rating plus the number of ratings or written reviews behind it.
Every major storefront and directory in this slice publishes some variant, making them the most comparable cross-source quality signal.
In this catalog it appears concretely: - apple-app-store-10k-apps-dataset-kaggle-ramamet4 attributes. - capterra-software-directory — "overall rating, review count". - chrome-web-store-extensions-apps — "rating, user count". - google-play-store-apps-kaggle-lava18: 64,295-row user-review sentiment file.
Why does user ratings and review counts matter when choosing a dataset?
A table is only as good as the column you actually need. If this field is absent, sparsely populated or defined inconsistently across rows, no amount of surrounding richness rescues the analysis, so it deserves its own line in your evaluation checklist.
The failure mode is concrete: the label appears in a listing, the delivered files tell a different story, and the gap surfaces mid-project when fixing it is most expensive.
You rarely have to take a vendor's word for it. 82.4% of the 1,744 datasets Datadory catalogs are free to access, and apple-app-store-10k-apps-dataset-kaggle-ramamet4 attributes lets you inspect the real artifact before any budget is committed.
How do you evaluate user ratings and review counts in a data source?
Treat every claim of this attribute as testable:
- Open apple-app-store-10k-apps-dataset-kaggle-ramamet4 attributes and compare its listing against the delivered artifact before paying for a commercial equivalent.
- Open capterra-software-directory and confirm its record — "overall rating, review count" — against the files you actually receive.
- Open chrome-web-store-extensions-apps and confirm its record — "rating, user count" — against the files you actually receive.
- Pin down update cadence in writing. Across this catalog, 22.6% of 1,744 datasets refresh daily and 64 still arrive only through a manual request form, so ask exactly how fresh each release is.
- Check whether definitions are verified at all. Field definitions are verified for 1495 of 1,744 datasets (85.7%), and any source you license should meet that bar.
- Price the delivery route before the license. In this catalog bulk download is the most common access method (725 datasets) ahead of official APIs (574), and 379 sources still require scraping — a maintenance cost that lands on you, not the vendor.
See the term applied to real records: application-software data.
Related terms
Adjacent concepts worth reading next: - app metadata - verified review data
Frequently asked questions
What is an example of user ratings and review counts?
apple-app-store-10k-apps-dataset-kaggle-ramamet4 attributes is the clearest example in this catalog. Its listing is the reference point for this pattern. Across all 1,744 datasets Datadory averages a quality score of 7.81 out of 10, so a named example can be weighed rather than trusted blindly.
Is data described as "user ratings and review counts" free to use?
Treat access and permission separately. 82.4% of the 1,744 datasets in this catalog are free to access, but 235 are freemium and 61 are paid outright, so confirm both the price and the license on the exact distribution before building on it.
How do I verify a source really provides user ratings and review counts?
Open apple-app-store-10k-apps-dataset-kaggle-ramamet4 attributes next to capterra-software-directory and compare the promise with the download. Field definitions are verified for 1495 of 1,744 datasets (85.7%), which makes that check fast inside the catalog and manual outside it.
Datasets containing this field
Datasets containing user ratings and review counts
6 datasets carry user ratings and review counts in the catalog. Open one, count the fields, judge for yourself.
Apple iTunes Search API
BIS Data Portal - Bulk Downloads
FREQ · L_MEASURE / L_POSITION / L_INSTR / L_DENOM · L_CURR_TYPE …+8 more
Data.gov - Software Datasets Catalog
programCode · mediaType (per resource) · views-last-month …+2 more
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