Difference between revisions of "ISSS608 2016-17 T1 Assign3 Franky Eddy"
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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. | 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. | ||
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You 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. | You 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. | ||
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The step by step approaches done can be seen below. | The step by step approaches done can be seen below. | ||
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=== Data Preparation === | === Data Preparation === | ||
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Before using the data to do analysis, firstly data preparation needs to be done. | Before using the data to do analysis, firstly data preparation needs to be done. | ||
The first thing to be done is | The first thing to be done is | ||
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=Visualisation Software= | =Visualisation Software= | ||
Revision as of 11:00, 23 October 2016
Contents
Abstract
Now
- How ?
- What ?
- How ?
To answer these questions, data visualization is used to get insights:
- M
- R
Overview of Data
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.
Objectives
You 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.
Use visual analytics to analyze the available data and develop responses to the questions below. In addition, prepare a video that shows how you used visual analytics to solve this challenge. We encourage novel visual representations and analytic approaches!
Identify those IDs that stand out for their large volumes of communication. For each of these IDs
Characterize the communication patterns you see.
Based on these patterns, what do you hypothesize about these IDs? Note: Please limit your response to no more than 4 images and 300 words.
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. Note: Please limit your response to no more than 10 images and 1000 words.
From this data, can you hypothesize when the vandalism was discovered? Describe your rationale. Note: Please limit your response to no more than 3 images and 300 words.
Approaches
The step by step approaches done can be seen below.
Data Preparation
Before using the data to do analysis, firstly data preparation needs to be done.
The first thing to be done is
Results
Visualisation Software
To perform the visual analysis, the following softwares are used:
- Tableau
- JMP Pro
- Gephi
