Reference no: EM133871221

Visualisation

Assignment - Multidimensional Data Visualisation

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 them in the visualisation tools or programs.

Upon your visualisations and analyses, you are also required to write a report (approximately 1500 words or more) on the following aspects:
Discussion on the advantages and the disadvantages 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. Get online assignment help in the USA!

Discussion on used and relevant 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 do hospitalisations perform at each state via illustrations with geographic visualisations? ii) How do hospitalisations perform through the years via illustrations with time series and/or geographic visualisations? iii) How does NSW stage perform through five years via illustrations with time series and/or geographic visualisations? iv) What are the Potentially preventable hospitalisations at States through the years? And more.
Discussion on other aspects, literature review of related work and your critical thinking on the visualisation(s).

Notes:
Images (as figures) are essential and should be included in the report to illustrate the visualisations, results and findings.
It is not mandatory to use the data of all tabs. You might choose the data from one or more tabs (or tables) for your analysis and visualisation. You are most welcome to use the data from all tabs so that you can deliver a deeper and more comprehensive study.