Difference between revisions of "ISSS608 2016-17 T1 Assign3 Shishir Nehete"
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| + | DinoFun World is a typical modest-sized amusement park, sitting on about 215 hectares and hosting thousands of visitors each day. It has a small town feel, but it is well known for its exciting rides and events. | ||
| + | Our task is to analyse the data for one event, which was organized last year as a weekend tribute to Scott Jones, internationally renowned football (“soccer,” in US terminology) star. Scott Jones is from a town nearby DinoFun World. He was a classic hometown hero, with thousands of fans who cheered his success as if he were a beloved family member. However, the event was marred by crime and mayhem perpetrated by a poor, misguided and disgruntled figure from Scott’s past. | ||
| + | In view of this mayhem, we are supposed to investigate the in-app communication data over the three days and try to figure out the patterns of communications and make hypothesis of when the vandalism was discovered. | ||
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Revision as of 20:30, 28 October 2016
To be a Visual Detective: Detecting spatio-temporal patterns
Contents
Overview
DinoFun World is a typical modest-sized amusement park, sitting on about 215 hectares and hosting thousands of visitors each day. It has a small town feel, but it is well known for its exciting rides and events.
Our task is to analyse the data for one event, which was organized last year as a weekend tribute to Scott Jones, internationally renowned football (“soccer,” in US terminology) star. Scott Jones is from a town nearby DinoFun World. He was a classic hometown hero, with thousands of fans who cheered his success as if he were a beloved family member. However, the event was marred by crime and mayhem perpetrated by a poor, misguided and disgruntled figure from Scott’s past.
In view of this mayhem, we are supposed to investigate the in-app communication data over the three days and try to figure out the patterns of communications and make hypothesis of when the vandalism was discovered.
Task
Data
Data Preparation
Visualization Software
Results
References
Comments
