Difference between revisions of "Assignment"
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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 [ | + | The assignment topics are based on '''[http://www.vacommunity.org/VAST+Challenge+2018+MC3 2018 MC3]'''. |
=Overview= | =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 [ | + | 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 ''' | + | 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: | + | 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
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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.
Contents
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
- AY2015-16 Term 3
- AY2016-17 Term 3 Assignment
- AY2017-18 Term 3 Assignment
- AY2018-19 Term 1 Assignment
- AY2018-19 Term 3 Assignment
Specially mentioned
- Dino Holmes Series
- Mystery at the Wildlife Preserve
- VAST Challenge 2017 MC3
- Sickness in SmartPolis
- Suspense at the Wildlife Preserve
- Unmask Air Pollution in Sofia City
- Citizen Science To the Rescue
Assignment Q&A
Need more clarification, please feel free to pen down your questions.