Swarm Check-ins
<p>This database was created and collected with the goal of observing patterns in urban mobility. To achieve this, the Twitter API was used to collect public check-ins made by users via Foursquare Swarm. </p><p>check-in.csv description:</p><ul><li><strong> venueID:</strong> Foursquare venue identifier</li><li><strong> userID:</strong> Swarm user identifier</li><li><strong>venueName:</strong> Name of the venue where the check-in was made</li><li><strong>category:</strong> Category of the venue where the check-in was made</li><li><strong>country:</strong> Country of the venue where the check-in was made</li><li><strong>city:</strong> City of the venue where the check-in was made</li><li><strong>timestamp:</strong> Time when the check-in was shared on Twitter</li><li><strong>latitude:</strong> Latitude of the venue where the check-in was made</li><li><strong>longitude:</strong> Longitude of the venue where the check-in was made</li></ul><p>The file categories.json contains information from all Foursquare categories.</p><p> </p><p> </p><p> </p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0