Microsoft Word - Assignment1_Q3.docSchool of Computing, Engineering and Mathematics Visualisation...

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Microsoft Word - Assignment1_Q3.docSchool of Computing, Engineering and Mathematics  Visualisation XXXXXXXXXX Q3 2019: Assignment 1 Relational Data Visualisation (Assignment deadline: Sunday 28/07, 11:59pm on vUWS)  Assignment Details For this assignment, you are required to identify and develop one (or more) visualisation(s) for elational data sets (such as graphs, networks, trees as presented in lecture notes in week 3 and week 4) using existing tools, software or your own development using available liaries. You might use the sample data sets at the tutorials as well as the provided visualisation techniques. Alternatively, you are encouraged to search and use other visualisation tools and/or datasets in literature. Based the visualisation(s), 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 but no limit to) 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 relational data sets and why? • 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 visualisations for relational data (50%). You might use existing tools, existing software liary (e.g. D3.js) or write your own program in the development. The marking will be based on how well the visualisation method presenting the relational data. Interaction should also be included in the visualisation. • A report on the technical description of the visualisation, analysis results and other aspects (50%)  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.       Declaration You are required to submit a declaration with the following claim (in a text file or world file).  DECLARATION  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 lecturetutor concerned.  Submission The declaration, visualisation program(s) and data sets, and the report should be submitted via vUWS before the deadline for marking purpose. In Turnitin submission system, the report (preferable in PDF or MS Word) is submitted separately together with a compressed zip file containing all supporting program(s), data sets or other supporting works. Please ensure the file names include your student id. Submission that does not follow the format is not acceptable. No hard copy of the work and email submission is acceptable.   Important Note Please note: it is not advisable to copy the materials from illustrating samples, your friend’s works, works from previous years, or other sources. In addition to Turnitin checking, I may run a cross check the reports for detecting plagiarism. Failure to comply plagiarism’s avoidance may lead to a misconduct with serious penalty.

Sandeep · Accepted Answer

Relational data visualisation
Table of Contents
Introduction	2
Technical details of the various visualisations techniques used	3
The technical details of the different visualisation methods are as follows:	3
Advantages as well as disadvantages of the different visualisation methods	5
Analysis results discussion as well as findings on the data sets	7
Literature Review as well as critical thinking for the visualisations	8
Conclusion	9
References	10
Introduction
Data visualisation is a kind of graphical representation of the various abstract data that are used for two major purposes, one is for data analysis and another is for communication. In the recent times, information has become a crucial part of our lives. These data pr information allows us to think in new ways and develop new innovative things. With the advancement of technology, amount of data are gradually increasing from various sources. These data are stored in different formats and sources as the information are of diverse types. Because of the diverse nature of the information, significant problems occur in using the data in an efficient manner by the users. The major problem is representing the data in a useful form for extracting the knowledge from the information. This paper will discuss the technical details that are used in the visualisation methods along with the pros and cons for the visualisation techniques that are used for large data sets. Moreover, results will be analysed with the findings of the data sets in this report.
Technical details of the various visualisations techniques used
By the methods of visualisation, the development, evolution, as well as professional growth, can be integrated with the various insights of data for developing effective strategies as well as apply valuable initiatives. A data visualisation technique mainly refers to develop the different graphical diagrams of the various data that are generated from different sources. Data visualisation includes the data analytics, and it also helps in interpreting huge data in the real-time with the use of factual figures as well as numerical figures (Linden et al., 2017). As the data streams are increasing rapidly across industries, one major challenge regarding this is the data interpretation. For reaching the goals as well as objectives of an organisation, data interpretation is a valuable insight. 
The technical details of the different visualisation methods are as follows:
1. Charts
The charts are the easiest way of showing the progress of one or many data sets. These charts can be of different forms like a bar chart, a pie chart as well as line charts, which can show the various relationships between different data or elements. These charts can be used for representing the organisational data in an effective manner (Park et al., 2016). So in this context, selecting the correct chart is very crucial for a particular project or audience. For example, for demonstrating the change of time periods, the line charts can be the effective visualisation method that can plot on or more series together. 
Figure 1: Line chart for presenting the monthly sales for a year
(Source: Created by learner)
2. Plots
The plots are used for showing the inter-relationship of data sets with the various parameters present in the plot with two dimensional or three-dimensional spaces. Plots also have types as per their requirements, which include scattering as well as bubble plots (McBrien and Poulovassilis, 2018). These two plots are traditional, and when they are used for big data,

Microsoft Word - Assignment1_Q3.doc School of Computing, Engineering and Mathematics Visualisation XXXXXXXXXX Q3 2019: Assignment 1 Relational Data Visualisation (Assignment deadline: Sunday 28/07,...

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