COMP2026 Visual Analytics Assignment 2 Autumn 2025 | WSU

Assignment Details 

For this assignment, you are required to identify and develop one (or more) visualisation(s) for the given multidimensional data set using available software and/or programming platform(s) (e.g. Tableau, Power BI, TabuVis, R, Python, etc.). Based on the visualisations, you can explore to find insight, patterns, ir(regularity, and interesting properties from the visualisation. Note that you may need to clean and pre-process the data before using it in the visualisation tools or programs. 

Upon your visualisations and analyses, you are also required to write a report with 1000 words (note: your report can be longer than 1000 words if necessary) on the following aspects: 

• Discussion on the advantages and the disadvantages of the visualisation method(s) in comparison with other methods in the literature. Can the visualisation method(s) be used effectively for large data multidimensional data sets and why? Which other analysis techniques could be helpful to support the visualisation in big data analysis? Such as in data processing, automated analysis, etc. 
• Discussion on the visualisation methods (including geographic visualisation, time series, charts and other advanced visualisation methods), analysis results and findings on the data sets, such as: i) How does the obesity situation among different educational levels look via illustrations with geographic visualisations? ii) How do obesity or smoking situations change over time via illustrations with time series and/or geographic visualisations? iii) How do the different health indicators or a specific health indicator, such as smoking, differ among different countries? iv) What are the trends of the different health indicators or a specific health indicator, such as obesity, among different countries? And more. 
• Discussion on other aspects, literature review of related work and your critical thinking on the visualisation(s). 

Note: images (as figures) are essential and should be included in the report to illustrate the visualisations, results and findings. The marking criteria for the assignment include 

• Development of satisfactory visualisation(s) for multi-dimensional data (60%). The marking will be based on how well the visualisation methods present the multidimensional data. Interaction should also be included in the visualisation.
• A report on the technical description of the visualisation, analysis results and other aspects (40%)
• Students in the same group (will receive the same score under normal circumstances