Interesting property from the visualisation

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Reference no: EM132316805

Multidimensional Data Visualisation

Assignment Details

For this assignment, you are required to identify and develop one (or more) visualisation(s) for the one of the given multidimensional data sets using existing software (e.g. Tableau, TabuVis etc.). Based the visualisations, you can to explore to find insight, patterns, ir(regularity) and interesting property from the visualisation.

You are also required to write a report (approximate 1500 words or more) 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 data multidimensional data sets and why? Which other analysis techniques could be helpful to support the visualisation in big data analysis? Such as in the data processing, automated analysis, etc.

- 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.

Attachment:- Multidimensional Data Visualisation.rar

Reference no: EM132316805

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Reviews

len2316805

6/5/2019 2:58:12 AM

Submission The declaration, visualisation program(s) and data sets, and the report should be submitted via vUWS before the deadline for marking purpose. Submission that does not follow the format is not acceptable. No hard copy of the work and email submission is acceptable.

len2316805

6/5/2019 2:58:04 AM

Deliverables Students must individually complete the visualisation(s) and the report. 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.

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