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CIS8025 Assignment 3 (Due Date 26/05/2020; Weighting 50%; 3000 words)
Relates to Modules 1 to 10, more particularly Modules 7-10 and all course objectives:
1. synthesize academic and professional knowledge of recent developments in big data visualisation design principles;
2. evaluate relationships between big data and visualisation design concepts;
3. explore and apply big data conversion into visual forms for decision-making purposes;
4. critique innovative visualisation approaches to provide solutions to real-world problems;
5. analyse potential opportunities for creative and sustainable use of big data visualisation to achieve corporate objectives;
6. use big data visualisation to communicate information to specialist and non-specialist audiences;
7. make ethical decisions in regards to privacy and security in Big Data Visualisation projects. Note you must use Tableau Desktop for Task 3 in Assignment 3. Failure to do so may result in Task 3 not being marked and zero marks awarded for Task 3.
Note carefully University policy on Academic Misconduct such as plagiarism, collusion and cheating. Your Assignment 3 submission is automatically submitted to and checked in Turnitin for academic integrity when you submit your Assignment 3 via the course study Assignment 3 submission link. If any of these occur they will be found and dealt with by the USQ Academic Integrity Procedures. If proven, Academic Misconduct may result in failure of an individual assessment, the entire course or exclusion from a University program or programs.
Assignment 3 consists of three Tasks.
Task 1 Big data Visualisation Tools (30 Marks)
Task 1.1 Identify and describe one (1) commercial data visualisation tool and one (1) open source data visualisation tool in terms of data visualisation capabilities that each provides (10 marks 500 words)
Task 1.2 Conduct and summarise the key results of an evaluation of each data visualisation tool (one commercial data visualisation tool, one open source data visualisation tool) comparative to data visualisation tool Tableau Desktop using DataVisualisationToolRubric.xlsx provided for this Assignment 3 (10 marks).
Task 1.3 Discuss two key advantages and disadvantages of each data visualisation tool
(commercial, open source, Tableau) evident from applying DataVisualisationRubric.xlsx (Score 3 or 4 for a specific criteria etc) (10 marks 500 words)
Task 2 Big Data Visualisation Implementation Plan (25 Marks)
Select one of the data visualisation tools other than Tableau Desktop evaluated in Task 1 and explain how you will implement and encourage the adoption and use of this data visualisation tool (this could be in your own organisation or in a fictitious organisation) Your discussion should be structured to address these issues: Software and Hardware Requirements, Licensing, Training, and How Information Security and Privacy Compliance would be enforced using this data visualisation tool (25 marks 1000 words)
Task 3 Dashboard Data Visualisation in Practice with Tableau (30 marks, 1000 words)
City of Philadelphia Crime (CPC) Data set (crime.csv) will be used for Assignment 3 Task 3 to implement four different Tableau views of the crime.csv data set specified in Assignment 2 This data set consists of 14 variables, over 1 Million Crime records for a 10 year period 2006 to 2016.
Task 3.1 Tableau Desktop Graph/Table View that highlights an important crime trend and/or pattern with brief accompanying description (4 marks 50 words)
Task 3.2 Tableau Desktop Graph/Table View that highlights another important crime trend and/or pattern with brief accompanying description (4 marks 50 words)
Task 3.3 Tableau Desktop Graph/Table View that highlights another important crime trend and/or pattern with brief accompanying description (4 marks 50 words)
Task 3.4 Tableau Desktop View that uses geomapping to highlight another important crime trend and/or pattern by location with a brief accompanying description (4 Marks 50 words)
Task 3.5 Tableau Dashboard, Justification for Dashboard Design
Provide a screen capture of your City of Philadelphia Crimes (CPC) Dashboard, describe and justify in detail, the design and functionality of your CPC Dashboard emphasising the purpose of the four Tableau Desktop views to support the decision making of the City of Philadelphia Police Department in proactively managing crime incidents and hotspots in drawing on relevant good dashboard design literature (14 marks 800 words)
Assignment 3 Report Quality: Structure, Presentation, Writing, Referencing, (15 Marks) Reference list and Appendices are not included in Word count
Report structure
Title of Contents
Body of Report with relevant Task headings
Task 1
Task 2
Task 3, Task 3.1, Task 3.2, Task 3.3, Task 3.4 and Task 3.5
Report presentation use of appropriate font and line spacing (12 pt New Times Roman
1.5 spacing etc), tables and figures with captions where required
Writing style should be clear and concise, audience would be middle to senior management, free from spelling and grammatical errors
Referencing should use Harvard AGPS referencing style with key sources acknowledged with in-text referencing where required in body of report and a complete reference list provided at end of the report
Note: Reference list and Appendices not included in word count for Assignment 3 report Three files must be submitted for Assignment 3:
1. Assignment 3 Report for Tasks 1, 2 and 3 in Word document format with extension .docx
2. Tableau packaged workbook file extension .twbx contains four (4) required Tableau Text Table
/ Graph workbooks and CPC Dashboard for Task 3
3. Completed DataVisualisationToolRubric.xlsx
You must use following file naming conventions:
1. Student_no_Student_name_CIS8025_Ass3.docx
2. Student_no_Student_name_CIS8025_Ass3.twbx
3. Student_no_Student_name_CIS8025_DataVisualisationToolRubric.xlsx
You must use Harvard referencing style – Harvard referencing resources
Install a bibliography referencing tool – Endnote which integrates with your word processor.
Or alternatively use an online citation tool such as Zetoro or You Cite This For Me USQ Library - how to reference correctly using Harvard referencing system

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