MA1
IS428 Visual Analytics for Business Intelligence
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Contents
Analytical Infographics Design
Overview
The true value of a well-designed infographic is its ability to support data discovery. Using REALIS data of Urban Redevelopment Authority (URA), Singapore, you are required to design analytical infographics that will answer the following questions:
- Identify three patterns of the share of the private properties supply in 2015,
- Identify three patterns of the distribution of the private properties prices in 2015
- With reference to the findings, provide three policy recommendations for 2016.
Data
In order to complete this project, students are required to visit the REALIS database via smu digital library [1].
Note: Knowing what data to compile is the first step of visual analytics.
Submission Details
The submission must include:
- An analytical infographics in jpg image file and
- A report in wiki format describing your project, which should include:
- Abstract: A brief summary of the project, with a maximum of 120 words.
- Problem and Motivation: A description of the problem you have addressed, explaining the why is it relevant, what are the main variables involved, and what development policy questions you intend to address.
- Approaches: Describe the approaches used for examining and analyzing the data.
- Tools Utilized: Describe which technologies you leveraged during your project.
- Results: Describe how the results of your work may contribute to improve the use of data for development.
The analytical infographics prepared should be interpretable without recourse to your short write-up. Do not forget to include title, axis labels or legends as needed!
As different visualisations can emphasize different aspects of a data set, you should document what aspects of the data you are attempting to most effectively communicate. In short, what story (or stories) are you trying to tell? Just as important, also note which aspects of the data might be obscured or down-played due to your visualisation design.
In your write-up, you should provide a rigorous rationale for your design decisions. Document the visual encodings you used and why they are appropriate for the data. These decisions include the choice of visualisation type, size, colour, scale, and other visual elements, as well as the use of sorting or other data transformations. How do these decisions facilitate effective communication?
You are free to use any one of the following visual analytics toolkit or their equivalent to design the static visualisation:
- Tableau
- Qlik Sense
- Power BI
This is an individual assignment. You are required to work on the assignment and prepare submission individually. Your completed assignment is due on 29th August 2016, by 8.30am.
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_2016-17_T1_MA1_FullName.
Assessment Rubric
Students are encouraged to apply the concepts, methods and best practices we had discussed in class, suggestions and comments provides in academic articles and blogs into consideration when you are preparing your assignment deliverable. You will be awarded 5 bonus marks for each extra feature beyond the design specifications. The maximum bonus marks are 10 marks.
Quality of the infographics (20%)
- The overall layout and content of the final infographics designed.
Appropriateness of graphical methods used (20%)
Ability to extract, transform and load the raw data given and use appropriate graphical methods to detect the expected and to discover the unexpected from the analytical dataset.
Below are examples of aspects that may lead to point deductions:
- Use of misleading, unnecessary, or unmotivated graphic elements.
- Missing reference line.
Quality of graphical furniture (20%)
Ability to design graphs that conform to the graphical design best practices recommended in lessons.
Below are examples of aspects that may lead to point deductions:
- Missing chart title, axis labels, etc).
- Ineffective encodings for your stated goal (e.g., distracting colors, inking, etc).
Quality of the Write-up (20%)
- Appropriateness and completeness design rationale in write-up such as the graphical principles used to design the graphs and the graph designing process.
Bonus (10%)
Bonus marks will be awarded to submissions that go above and beyond the assignment requirements to produce effective graphics. Examples may include outstanding visual design, meaningful incorporation of external data to reveal important trends, demonstrating exceptional creativity, or effective annotations or other narrative devices.
The Benchmark
Infographic Design
- In The Shadows
Write-up
Reference
- Hey! Your Tableau Public Viz is Ugly *and* Confusing [5]
- Tableau Visual Guidebook [6]
- Guardian Data Blog [7]
- New York Times Infographics [8]
- Wolrd Malaria 2015 Infographics [9]
Assignment 1 Q&A
Need more clarification, please go here
