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[[Course_information| <font color="#FFFFFF">About</font>]]
 
[[Course_information| <font color="#FFFFFF">About</font>]]
  
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The assignments require you to put the concepts, methods and techniques you had learned in class to solve real world problem using visual analytics techniques.  Students should also use the assignments to gain hands-on experience on using the data visualisation toolkits I had shared with you to complate the assignment.
 
The assignments require you to put the concepts, methods and techniques you had learned in class to solve real world problem using visual analytics techniques.  Students should also use the assignments to gain hands-on experience on using the data visualisation toolkits I had shared with you to complate the assignment.
  
The assignment topics are based on [https://vast-challenge.github.io/2019/ VAST Challenge 2019].  You are required to choose one of the challenge topic provided below and work out the solution.   
+
The assignment topics are based on '''[http://www.vacommunity.org/VAST+Challenge+2018+MC3 2018 MC3]'''.   
  
 
=Overview=
 
=Overview=
  
St. Himark is a vibrant community located in the Oceanus Sea. Home to the world-renowned St. Himark Museum, beautiful beaches, and the Wilson Forest Nature Preserve, St. Himark is one of the region’s best cities for raising a family and provides employment across a number of industries including the Always Safe Nuclear Power Plant. Well, all that was true before the disastrous earthquake that hits the area during the course of this year’s challenge. Mayor Jordan, city officials, and emergency services are overwhelmed and are desperate for assistance in understanding the true situation on the ground and how best to deploy the limited resources available to this relatively small community.
+
Mitch Vogel left his work at Mistford College but has not forgotten the Rose-Crested Blue Pipit. Soon after arriving in the small town of Sulev in Northern Europe, Mitch started to see the telltale signs of Methylosmolene damage at the nearby Panteleimon Aviary Sanctuary. Mitch hears from local bird watchers that populations of the Greater Eurasian Red-Throated Pipit have been affected.
 +
 
 +
Since arriving in Sulev, Mitch also noticed that the local university’s office furniture was built in a nearby EuroKasios factory. Sure enough, EuroKasios is a subsidiary of Kasios International, Inc. – a huge multinational conglomerate that is also the parent company of Kasios Office Furniture back in Mitch’s hometown of Mistford. Mitch is immediately suspicious that EuroKasios is contaminating the aviary Sanctuary and endangering the Greater Eurasian Red-Throated Pipit. Worse yet, Mitch wonders if Kasios International may be contaminating pipit habitats around the world.
 +
 
 +
Mitch spends weeks reviewing press coverage of Kasios International and public statements made by the company’s CEO. Many of the articles tout the company’s environmentally friendly practices and even talk about recent scientific research that proves the safety of AGOC-3A, an environmentally friendly replacement for Methylosmolene. Mitch is skeptical that the company has halted production and use of Methylosmolene so he contacts the company and asks to meet with representatives from their environmental compliance division.
 +
 
 +
To his disappointment Mitch is not granted a meeting. Then Mitch receives an anonymous letter from someone who’s willing to help. A fellow pipit lover who works at Kasios International has gathered up a variety of company data and identified a suspicious group within the company. Attached to the letter Mitch receives is a USB drive with phone, email, meeting, and procurement records for Kasios International over the past 2 1/2 years. Mitch wonders if the fate of the Eurasian Pipit lies somewhere in that data. Mitch intends to put this data together to see if the problems with Kasios are much larger than he initially suspected.
 +
 
  
==Mini-Challenge 1==
+
=The Task=
In a prescient move, the city of St. Himark released a new damage reporting mobile application shortly before the earthquake. This app allows citizens to provide more timely information to the city to help them understand damage and prioritize their response. In this mini-challenge, use app responses in conjunction with shake maps of the earthquake strength to identify areas of concern and advise emergency planners.
 
  
Please visit [https://vast-challenge.github.io/2019/MC1.html VAST Challenge 2019: Mini-Challenge 1] for more information and to download the data.
+
Your task, as supported by visual analytics that you apply, is to help Mitch determine the organizational structure of the group within Kasios that was referenced by the insider providing Mitch the data. How is it internally connected and is anyone else involved? Use visual analytics to analyze the available data and develop responses to the questions below. Novel visualizations and analysis approaches are especially interesting for this assignment.
  
==Mini-Challenge 2==
 
While St. Himark is proud of its Always Safe nuclear power plant, it was not quite built to be compliant with the recommended safety standards developed by international organizations. The nuclear plant sustained moderate (but not life-threatening) damage during the earthquake resulting in some contamination being released. The city has installed stationary sensors which could be used to determine effected areas but they don’t cover all parts of the city. Luckily, the Himark Science Society has stepped in with citizen scientists to help crowd source this important task. Utilize these various sensors to understand which parts of the city are most effected.
 
  
Please visit [https://vast-challenge.github.io/2019/MC2.html VAST Challenge 2019: Mini-Challenge 2] for more information and to download the data.
+
==Questions==
  
==Mini-Challenge 3==
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* 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? Limit your responses to 5 images and 500 words.
In disasters, people reach out to friends and family to check in and discuss what they see happening around them. The city and its emergency response teams are hoping to gain an understanding of the issues facing the citizenry they can’t get through seismic readings and survey responses. They are looking to you to help them turn social media posts into an information source helping guide them as to where to focus efforts and what the concerns of the populace are.
 
  
Please visit [https://vast-challenge.github.io/2019/MC3.html VAST Challenge 2019: Mini-Challenge 3] for more information and to download the data.
+
* 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. Limit your responses to 8 images and 500 words.
  
==Grand Challenge==
+
* Using the combined group of suspected bad actors you created in question 2, show the interactions within the group over time. Limit your responses to 10 images and 1000 words
 +
** Characterize the group’s organizational structure and show a full picture of communications within the group.
 +
** Does the group composition change during the course of their activities?
 +
** How do the group’s interactions change over time?
  
St. Himark’s limited resources must be brought to bear as efficiently as possible. They are looking to you to provide them with as complete a picture as can be constructed from all the data available. Provide an overall view on the situation in the city by providing a unified visualization of the data.
+
* 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). Limit your responses to 10 images and 1200 words
  
Please visit [https://vast-challenge.github.io/2019/GC.html VAST Challenge 2019: Grand Challenge] for more information and to download the data.
+
Please visit '''[http://www.vacommunity.org/VAST+Challenge+2018+MC3 2018 MC3]''' for more information and to download the data.
  
 
=Visualisation Software=
 
=Visualisation Software=
  
 
To perform the visual analysis, students are encouraged to explore any one or a combination of the following software:
 
To perform the visual analysis, students are encouraged to explore any one or a combination of the following software:
*Tableau
+
 
*JMP Pro
+
* Tableau
*Qlik Sense
+
* JMP Pro
*Microsoft Power BI
+
* Qlik Sense
 +
* Microsoft Power BI
 +
* Gephi
  
 
One of the goals of this assignment is for you to learn to use and evaluate the effectiveness of these visual analytics tools.
 
One of the goals of this assignment is for you to learn to use and evaluate the effectiveness of these visual analytics tools.
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=Submission details=
 
=Submission details=
  
This is an individual assignment. You are required to work on the assignment and prepare submission individually. Your completed assignment is due on '''7th July 2019, by 11.59pm mid-night'''.
+
This is an individual assignment. You are required to work on the assignment and prepare submission individually. Your completed assignment is due on '''15th March 2020, by 11.59pm mid-night'''.
  
You need to edit your assignment in the appropriate wiki page of the Assignment Dropbox. The title of the wiki page should be in the form of: ISS608_2017-18_T3_Gx_Assign_FullName.
+
You need to edit your assignment in the appropriate wiki page of the Assignment Dropbox. The title of the wiki page should be in the form of: '''''ISS608_2019-20_T2_Assign_FullName'''''.
  
 
The assignment wiki page should include the URL link to the web-based interactive data visualization system prepared.
 
The assignment wiki page should include the URL link to the web-based interactive data visualization system prepared.
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* [https://wiki.smu.edu.sg/1718t3isss608/Assignments AY2017-18 Term 3 Assignment]
 
* [https://wiki.smu.edu.sg/1718t3isss608/Assignments AY2017-18 Term 3 Assignment]
 
* [https://wiki.smu.edu.sg/18191isss608g1/Assignment AY2018-19 Term 1 Assignment]
 
* [https://wiki.smu.edu.sg/18191isss608g1/Assignment AY2018-19 Term 1 Assignment]
 +
* [https://wiki.smu.edu.sg/1819t3isss608/Assignment AY2018-19 Term 3 Assignment]
  
 
==Specially mentioned==
 
==Specially mentioned==
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* [https://wiki.smu.edu.sg/1718t3isss608/ISSS608_2017-18_T3_Assign_Tan_Yong_Ying Suspense at the Wildlife Preserve]
 
* [https://wiki.smu.edu.sg/1718t3isss608/ISSS608_2017-18_T3_Assign_Tan_Yong_Ying Suspense at the Wildlife Preserve]
 
* [https://wiki.smu.edu.sg/18191isss608g1/ISSS608_2018-19_T1_Assign_Pu_Yiran Unmask Air Pollution in Sofia City]
 
* [https://wiki.smu.edu.sg/18191isss608g1/ISSS608_2018-19_T1_Assign_Pu_Yiran Unmask Air Pollution in Sofia City]
 +
* [https://wiki.smu.edu.sg/1819t3isss608/ISSS608_2018-19_T3_Assign_Xie_Weiyi Citizen Science To the Rescue]
 +
  
 
=Assignment Q&A=
 
=Assignment Q&A=
  
 
Need more clarification, please feel free to pen down your questions.
 
Need more clarification, please feel free to pen down your questions.

Latest revision as of 21:50, 7 February 2020

Vaa logo.jpg ISSS608 Visual Analytics and Applications

About

Assignment Dropbox

 


To be a Visual Detective

The assignments require you to put the concepts, methods and techniques you had learned in class to solve real world problem using visual analytics techniques. Students should also use the assignments to gain hands-on experience on using the data visualisation toolkits I had shared with you to complate the assignment.

The assignment topics are based on 2018 MC3.

Overview

Mitch Vogel left his work at Mistford College but has not forgotten the Rose-Crested Blue Pipit. Soon after arriving in the small town of Sulev in Northern Europe, Mitch started to see the telltale signs of Methylosmolene damage at the nearby Panteleimon Aviary Sanctuary. Mitch hears from local bird watchers that populations of the Greater Eurasian Red-Throated Pipit have been affected.

Since arriving in Sulev, Mitch also noticed that the local university’s office furniture was built in a nearby EuroKasios factory. Sure enough, EuroKasios is a subsidiary of Kasios International, Inc. – a huge multinational conglomerate that is also the parent company of Kasios Office Furniture back in Mitch’s hometown of Mistford. Mitch is immediately suspicious that EuroKasios is contaminating the aviary Sanctuary and endangering the Greater Eurasian Red-Throated Pipit. Worse yet, Mitch wonders if Kasios International may be contaminating pipit habitats around the world.

Mitch spends weeks reviewing press coverage of Kasios International and public statements made by the company’s CEO. Many of the articles tout the company’s environmentally friendly practices and even talk about recent scientific research that proves the safety of AGOC-3A, an environmentally friendly replacement for Methylosmolene. Mitch is skeptical that the company has halted production and use of Methylosmolene so he contacts the company and asks to meet with representatives from their environmental compliance division.

To his disappointment Mitch is not granted a meeting. Then Mitch receives an anonymous letter from someone who’s willing to help. A fellow pipit lover who works at Kasios International has gathered up a variety of company data and identified a suspicious group within the company. Attached to the letter Mitch receives is a USB drive with phone, email, meeting, and procurement records for Kasios International over the past 2 1/2 years. Mitch wonders if the fate of the Eurasian Pipit lies somewhere in that data. Mitch intends to put this data together to see if the problems with Kasios are much larger than he initially suspected.


The Task

Your task, as supported by visual analytics that you apply, is to help Mitch determine the organizational structure of the group within Kasios that was referenced by the insider providing Mitch the data. How is it internally connected and is anyone else involved? Use visual analytics to analyze the available data and develop responses to the questions below. Novel visualizations and analysis approaches are especially interesting for this assignment.


Questions

  • 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? Limit your responses to 5 images and 500 words.
  • 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. Limit your responses to 8 images and 500 words.
  • Using the combined group of suspected bad actors you created in question 2, show the interactions within the group over time. Limit your responses to 10 images and 1000 words
    • Characterize the group’s organizational structure and show a full picture of communications within the group.
    • Does the group composition change during the course of their activities?
    • How do the group’s interactions change over time?
  • 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). Limit your responses to 10 images and 1200 words

Please visit 2018 MC3 for more information and to download the data.

Visualisation Software

To perform the visual analysis, students are encouraged to explore any one or a combination of the following software:

  • Tableau
  • JMP Pro
  • Qlik Sense
  • Microsoft Power BI
  • Gephi

One of the goals of this assignment is for you to learn to use and evaluate the effectiveness of these visual analytics tools.


Submission details

This is an individual assignment. You are required to work on the assignment and prepare submission individually. Your completed assignment is due on 15th March 2020, by 11.59pm mid-night.

You need to edit your assignment in the appropriate wiki page of the Assignment Dropbox. The title of the wiki page should be in the form of: ISS608_2019-20_T2_Assign_FullName.

The assignment wiki page should include the URL link to the web-based interactive data visualization system prepared.


Reference

Past Assignment Page

Specially mentioned


Assignment Q&A

Need more clarification, please feel free to pen down your questions.