CIS8025 Assignment 2 | My Assignment Tutor

CIS8025 Assignment 2 (Due Date 31/08/2020; Weighting 30%; 3000 words) Relates to Modules 1 to 6, more particularly Modules 4-6 and four 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; Note you must use Tableau Desktop for Task 3 in Assignment 2. 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 2 submission is automatically submitted to and checked in Turnitin for academic integrity when you submit your Assignment 2 via the course study Assignment 2 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 2 consists of three Tasks. Task 1 Hadoop and Spark big data management platforms (30 Marks, 1500 words) Hadoop and Spark are two big data management tools that in turn underpin big data visualisation applications. Describe and explain (using diagrams where appropriate) how each: Task 1.1 Hadoop contributes to the effective management of big data in organisations in your answer also highlight any shortcomings of this big data management technology (15 marks, 750 words); Task 1.2 Spark contributes to the effective management of big data in organisations in your answer also highlight any shortcomings of this big data management technology (15 marks, 750 words). Task 2 Big Data Visualisation approaches and challenges (30 Marks, 1000 words) Previously in this course we reviewed a number of approaches to big data visualisation. For Task2 critically review and discuss one big data visualisation approach and one or more of the challenges that organisations face in undertaking a big data visualisation initiative. Here you should emphasise the importance of Data Story Telling. Task 3 Big Data Visualisation in practice with Tableau (30 marks, 500 words) Brief: Queensland Main Roads (QMR) wants to build a dashboard to better understand the severity, nature and type of road traffic crashes occurring by location and road conditions over time. In particular, they would like to see if there are any distinct patterns in relation to (1) crash severity, type and nature (2) location of each crash (3) time of each crash and (4) location road conditions and (5) number of vehicles and pedestrians involved. These insights can be gained from the extensive data available for road traffic crashes across the state of Queensland contained in the qldcrashes.csv data set. This dataset contains data on over 300,000 road traffic crashes from January 2001 through to December 2016 from over 400 different postal locations in the State of Queensland. See the data dictionary qldcrashesDataDictionary.doc for a detailed description of the qldcrashes.csv data set. Note read the data set qldcrashes.csv into Tableau Desktop as text file type .csv to keep Tableau packaged workbook a manageable size. Task 3.1 Conduct an exploratory data analysis (EDA) of qldcrashes.csv data set using Tableau Desktop so that you gain a better understanding of the important characteristics of the data set qldcrashes.csv data set. Summarise the key findings in a Table 3.1 with the Caption: Key Findings of EDA of QLD Road Traffic Crashes. Provide an accompanying discussion of the key findings of exploratory data analysis of qldcrashes.csv data set making use of Tableau views of variables in the qldcrashes.csv data set to highlight visually important key findings from your exploratory data analysis. Is there is any missing data? Will some variables need to be converted into categories or different types of variables etc? (250 words 15 marks) Task 3.2 Based on the brief provided by QMR for a QLD Road Traffic Crashes (QLD RTC) Dashboard Outline and describe your planned Tableau dashboard for the qldcrashes.csv data set that you will implement in Assignment 3. Your planned dashboard for Assignment 3 will include at least four views and at least one geomap view of important aspects of Qld road traffic crashes data for time period of 2001 to 2016. For Task 3.2 also provide screenshots of and briefly describe two sample views of qldcrashes.csv data set and include packaged Tableau workbook file (250 words 15 marks) Assignment 2 Report Quality: Structure, Presentation, Writing, Referencing, (10 Marks) Report structure Coverpage Title of Contents Body of Report with relevant main Task headings and sub headings Task 1, Task 1.1, Task 1.2 Task 2 Task 3, Task 3.1, Task 3.2 References Appendices 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 you must 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 are not included in the word count You must submit two files for Assignment 2: 1. Assignment 2 Report for Tasks 1, 2 and 3 in Word document format with extension .docx 2. Tableau packaged workbook with extension .twbx that contains two sample Text Table / Graph views for Task 3 You must use the following file naming convention for Assignment 2: 1. Student_no_Student_name_CIS8025_Ass2.docx 2. Student_no_Student_name_CIS8025_Ass2.twbx USQ Library How to reference correctly using Harvard referencing system https://www.usq.edu.au/library/referencing/harvard-agps-referencing-guide Install a bibliography referencing tool – Endnote integrates with your word processor. http://www.usq.edu.au/library/referencing/endnote-bibliographic-software Or alternatively use an online citation tool such as Zetoro or You Cite This For Me