Assignments
IS428 Visual Analytics for Business Intelligence
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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 problems using visual analytics techniques. Students should also use the assignments to gain hands-on experiences on using the data visualisation toolkits I had shared with you to complete the assignment.
Contents
Overview
Every two years, SMU Libraries conduct a comprehensive survey in which faculty, students and staff have the opportunity to rate various aspects of SMU library's services. The survey provides SMU libraries with input to help enhance existing services and to anticipate emerging needs of SMU faculty, students and staff. The latest survey is currently on going and will be ended by 17th February 2020.
The 2018 Survey Results can be found here and the full report is available by following this link. The past reports are mainly made-up of pages of tables, which are very difficult to comprehend. In view of this, your task is to apply appropriate data visualisation to transform these tables into visual representation that allow SMU libraries to gain useful insights.
The Task
In this assignment, you are required to use visual analytics approach to reveal the level of services provided by SMU libraries as perceived by:
- the undergraduate students,
- the postgraduate students,
- the faculty,
- the staff.
Limit your findings to not more than 10 images and 1000 words per group.
The Dataset
For the purpose of this assignment, the 2018 Survey dataset will be used. You need to download the dataset from eLearn.
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
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 (Sunday), 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: IS428_AY2019-20T2_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
- IS428 2016-17 Term1 Assign3 Gwendoline Tan Wan Xin
- IS428 2016-17 Term1 Assign3 Lim Kim Yong
- IS428 2016-17 Term1 Assign3 Tan Kee Hock
Assignment Q&A
Need more clarification, please feel free to pen down your questions.
