SCHOOL OF COMPUTER SCIENCE Master of Applied Computing (MAC) Assignment 2 (Weightage 15%) April 2023 Semester This paper consists of FOUR (4) pages, inclusive of this page. MODULE NAME MODULE CODE DUE DATE/TIME PLATFORM : Data Visualization : ITS 70704 : 28th April 2023 / 12:00 noon : MyTIMeS Student Name Student ID Score out of 15 Page 1 of 4 Module Learning Outcome (MLO) MLO 2: Generate data visualization strategies as solutions to different use cases using scientific and critical thinking skills. Assessment Criteria Assignment 2 15% MLO 2 Formative Individual 3,4 4 Assignment C1, C2, C3, C5 Assessment Task Weightage MLO Assessed Formative/ Summative Assessment Instrument Topics Week MCQ2.0 C1 = Knowledge & Understanding; C2 = Cognitive Skills; C3A = Practical Skills; C3B = Interpersonal Skills; C3C = Communication Skills; C3D = Digital Skills; C3E = Numeracy Skills; C3F = Leadership, Autonomy & Responsibility; C4A = Personal Skills; C4B = Entrepreneurial Skills; C5 = Ethics & Professionalism. Assignment 2: Global Inflation Dataset – (1970~2022) The global economy is highly complex, and understanding economic trends and patterns is crucial for making informed decisions about investments, policies, and more. One key factor that impacts the economy is inflation, which refers to the rate at which prices increase over time. The Global Energy, Food, Consumer, and Producer Price Inflation dataset provides a comprehensive collection of inflation rates across 206 countries from 1970 to 2022, covering four critical sectors of the economy. Finally, the Global Producer Price Inflation dataset provides a detailed look at price changes at the producer level, providing insights into supply chain dynamics and trends. This data can be used to make informed decisions about investments in various sectors of the economy and to develop effective policies to manage producer price inflation. In conclusion, the Global Energy, Food, Consumer, and Producer Price Inflation dataset provides a comprehensive resource for understanding economic trends and patterns across 206 countries. By examining this data, analysts can gain insights into the complex factors that impact the economy and make informed decisions about investments, policies, and more. Based on the dataset Global Inflation Dataset – (1970~2022), produce at least THREE visualizations with proper justification as guided below. This dataset were collected from the official website of worldbank.org. Below is the general guide of justification required for each visualizations; 1. Motivating curiosity. 2. People (stakeholder and audience). 3. Constraints (time, pressure, design and technology). 4. Deliverable (setting, medium, quantity and frequency). 5. Data transformation performed: cleaning, creating, and consolidating. 6. Data visualization: selection of graphical representation of information and data. Deliverable • Chart – Tableau file (twbx) • Write-up – Word or PDF file Page 2 of 4 Submission Requirements 1. Font type : Times New Roman : 12 : 1.5 : Justify Text : MS Word or PDF : 5 — 10 pages (do not exceed the page limit) 2. Font size 3. Line spacing 4. Alignment 5. Document type 6. Number of pages 7. Your full report should consist of the following: a) Cover page (Name, ID, Score) b) Marking Rubric (attach as second page in the report) c) Report of your answer script. 8. Start each chapter on a separate page. 9. All figures and tables are labelled properly. 10. File naming conventions: StudentName_AssignmentXX.pdf Notes: • Student is not allowed to transcribe directly (cut and paste) any material from another source into their submission. • Include in-text citation to support your answers and add the list of references at the end of your report (APA format). The list of references is to be alphabetized by the first author’s last name, or (if no author is listed) the organization or title. • The Turnitin similarity for this module is 20% overall and lesser than 1% from a single source excluding program source code. • Student is not allowed to use generative AI in this assignment. Page 3 of 4 Marking Rubric Criteria Excellent Good Average Poor Your (8 – 10) (6 – 7) (4-5) (0-3) Score Motivating curiosity Comprehensive description and complete in all aspect Good description and cover most aspect Average description and cover some aspect Poor description and incomplete People Comprehensive description and complete in all aspect Good description and cover most aspect Average description and cover some aspect Poor description and incomplete Constraints Comprehensive description and complete in all aspect Good description and cover most aspect Average description and cover some aspect Poor description and incomplete Deliverable Comprehensive description and complete in all aspect Good description and cover most aspect Average description and cover some aspect Poor description and incomplete Data Transformation Comprehensive description and complete in all aspect Good description and cover most aspect Average description and cover some aspect Poor description and incomplete Data Visualization Comprehensive description and complete in all aspect Good description and cover most aspect Average description and cover some aspect Poor description and incomplete TOTAL NOTE: Total marks will be adjusted to a maximum of 15% allocated for this assignment. 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