For this assignment, you are required to identify and develop one (or more) visualisation(s) for the given multidimensional data set using existing software or programming platform, (e.g.
Tableau, TabuVis, R, etc.). Based the visualisations, you can explore to find insight, patterns, ir(regularity) and interesting property from the visualisation.
You are also required to write a report (up to 1000 words) on the following aspects:
Brief technical details of the used visualisation method(s),
Discussion on the advantage and disadvantage of the visualisation method(s) in comparison with other methods in literature. Can the visualisation method(s) be used effectively for large multidimensional data sets and why? Which other analysis techniques could be helpful to support the visualisation in the big data analysis? Such as in the data processing, automated analysis,
Discussion on the analysis results and findings on the data sets,
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.
Marking criteria for the assignment includes
Development of satisfactorily visualisation(s) for multi-dimensional data (60%). The marking will be based on how well the visualisation method presenting the multidimensional data. Interaction should also be included in the
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 in the normal
Students must individually or in a group complete the visualisation(s) and the report. Each group has maximum 2 students. The report should be typed and submitted online through vUWS as a Word or pdf file. A high standard of professional English and neat logical structure (including consistent and complete referencing style) is expected.
You are required to submit a declaration with the following claim (in a text file or world file).
I hold a copy of this assignment that I can produce if the original is lost or damaged.
I hereby certify that no part of this assignment/product has been copied from any other student’s work or from any other source except where due acknowledgement is made in the assignment.
No part of this assignment/product has been written/produced for me by another person except where such collaboration has been authorised by the subject lecturer/tutor concerned.
The declaration, visualisation program(s) and data sets, and the report should be submitted via vUWS before the deadline for marking purpose. All these files should be zipped into one file with your student id as the zipped file name. Submission that does not follow the format is not acceptable. No hard copy of the work and email submission is acceptable.
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