ISSS608 2017-18 T3 Assign Pooja Manohar Sawant

VAST Challenge 2018 (Mini Challenge-3)

BACKGROUND

DATA PREPARATION

METHODOLOGY AND DASHBOARD DESIGN

OBSERVATIONS AND INSIGHTS

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VAST Challenge 2018

Mistford, a mid-size city, is located to the southwest of a large nature preserve. The city has a small industrial area with four light-manufacturing endeavors. Mitch Vogel is a post-doc student studying ornithology at Mistford College and has been discovering signs that the number of nesting pairs of the Rose-Crested Blue Pipit, a popular local bird due to its attractive plumage and pleasant songs, is decreasing. The decrease is sufficiently significant that the Pangera Ornithology Conservation Society is sponsoring Mitch to undertake additional studies to identify the possible reasons. Mitch is gaining access to several datasets that may help him in his work, and he has asked you (and your colleagues) as experts in visual analytics to help him analyze these datasets.

Overview of Mini Challenge-3

Overview of MC3

Questions

1. Using the four large Kasios International data sets, combine the different sources to create a single picture of the company. Characterize changes in the company over time. According to the company’s communications and purchase habits, is the company growing?
2. Combine the four data sources for group that the insider has identified as being suspicious and locate the group in the larger dataset. Determine if anyone else appears to be closely associated with this group. Highlight which employees are making suspicious purchases, according to the insider’s data.
3. Using the combined group of suspected bad actors you created in question 2, show the interactions within the group over time.
   1. Characterize the group’s organizational structure and show a full picture of communications within the group.
   2. Does the group composition change during the course of their activities?
   3. How do the group’s interactions change over time?
4. The insider has provided a list of purchases that might indicate illicit activity elsewhere in the company. Using the structure of the first group noted by the insider as a model can you find any other instances of suspicious activities in the company? Are there other groups that have structure and activity similar to this one? Who are they? Each of the suspicious purchases could be a starting point for your search. Provide examples of up to two other groups you find that appear suspicious and compare their structure with the structure of the first group. The structures should be presented as temporal not just structural (i.e., the sequence of events—A is followed by B one or two days later—will be important).