Difference between revisions of "ISSS608 2016-17 T1 Assign3 Shishir Nehete"

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Revision as of 04:26, 29 October 2016

To be a Visual Detective: Detecting spatio-temporal patterns

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


We have access to the in-app communication data over the three days of the Scott Jones celebration. This includes communications between the paying park visitors, as well as communications between the visitors and park services. In addition, the data also contains records indicating if and when the user sent a text to an external party. Our task is to use visual analytics techniques to analyze the available data and develop responses to the questions below.

  1. Identify those IDs that stand out for their large volumes of communication. For each of these IDs
    1. Characterize the communication patterns you see.
    2. Based on these patterns, what do you hypothesize about these IDs?
  2. Describe up to 10 communications patterns in the data. Characterize who is communicating, with whom, when and where. If you have more than 10 patterns to report, please prioritize those patterns that are most likely to relate to the crime.
  3. From this data, can you hypothesize when the vandalism was discovered? Describe your rationale.


Data

Data Preparation



Visualization Software



Results

Task 1



Task 2



Task 3



References



Comments



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