Dataset: HowFaster.NET - Global Ranks - Edition 1 - September 2020 (full month)
<p>A distinction is made between the level of abstraction for:</p> <p>- Autonomous systems;<br> - Continents;<br> - Countries;<br> - Regions;<br> - Cities;<br> - ZIP codes;<br> - Time zones;</p> <p>Data is provided in CSV and JSON formats.</p> <p>Filename format.</p> <p>edition.[value-edition].[value-label].[value-type].[value-format]</p> <p>possible [value-edition] content:<br> - integer from 1..</p> <p>possible [value-label] content:<br> - as;<br> - continent;<br> - countrycode;<br> - regionname;<br> - cityname;<br> - zipcode;<br> - timezone;</p> <p>possible [value-type] content:<br> - global_ranks;<br> - local_ranks;</p> <p>possible [value-format] content:<br> - csv;<br> - json;</p> <p>Example names:</p> <p>- edition.1.as.global_ranks.csv;<br> - edition.1.as.global_ranks.json;</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 12
- Reuse readiness
- 8
- Engagement
- 4