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Download Big AggregateData by ['Clifford Mario Kosasih'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Big AggregateData
The document discusses analyzing human activity patterns in three Singapore cafe districts - Tanjong Pagar, Arab Street, and Jalan Besar - using data from Foursquare check-ins and Instagram posts. It aims to understand how activity varies over time and space based on the districts' urban characteristics. Three hypotheses are proposed: that districts near tourist destinations will have more unique check-ins; districts with more diverse food options will have more check-ins; and outlets near transportation will be more popular. Maps of check-in data and Instagram posts are presented. Analysis shows Arab Street has the most unique check-ins due to its proximity to a tourist site, but food diversity does not clearly correlate with total check-ins between districts.
Detailed Information
| Author: | ['Clifford Mario Kosasih'] |
|---|---|
| Publication Year: | 2016 |
| Pages: | 19 |
| Language: | English |
| Format: | |
| Price: | FREE |
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