ISSS608 2016-17 T1 Assign3 Vaishnavi AMS

Abstract

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.

One event last year was 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. To celebrate his years of stardom in international play, DinoFun World declared “Scott Jones Weekend”, where Scott was scheduled to appear in two stage shows each on Friday, Saturday, and Sunday to talk about his life and career. In addition, a show of memorabilia related to his illustrious career would be displayed in the park’s Pavilion. However, the event did not go as planned. Scott’s weekend was marred by crime and mayhem perpetrated by a poor, misguided and disgruntled figure from Scott’s past.

While the crimes were rapidly solved, park officials and law enforcement figures are interested in understanding just what happened during that weekend to better prepare themselves for future events. They are interested in understanding how people move and communicate in the park, as well as how patterns changes and evolve over time, and what can be understood about motivations for changing patterns.

The Task

Using the in-app communication data over the three days of the Scott Jones celebration, visual analytics is applied to solve the crime and discover patterns in the crowd that will help officials better prepare themselves for such future events.

Questions for investigation

1. In this assignment , we aim to identify the IDs that stand out for their large volumes of communication and the characteristics of their communication patterns.
2. Identify up to 10 communications patterns in the data and characterize who is communicating, with whom, when and where. We will aim to prioritize those patterns that are most likely to relate to the crime.
3. From this data, we can finally attempt to hypothesize when the vandalism was discovered?

Tools utilized

• Microsoft Excel 2016 – Data cleaning and data preparation
• JMP Pro 12 – Data cleaning and data preparation
• Tableau 10.0 – Data visualization and analysis
• NodeXL - Data visualization and analysis of Communication data
• Gephi - Data visualization and analysis of Communication data

Approaches

Data preparation: Examine the data and make appropriate changes wherever necessary using Excel and JMP Pro 12 to make the data fit for analysis. Extract selected data for analysis. Data visualization and Analysis: Construct Network graphs and heat maps to examine the underlying insights and patterns and draw conclusions.