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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.&nbsp;</p><p>check-in.csv description:</p><ul><li><strong>&nbsp;venueID:</strong> Foursquare venue identifier</li><li><strong>&nbsp;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>&nbsp;</p><p>&nbsp;</p><p>&nbsp;</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

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