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辅导案例-COMP5048-Assignment 2

By October 24, 2020No Comments

COMP5048 Visual Analytics 2020 Assignment 2: Group Assignment Deadlines: (submit to Canvas, only one submission per group) 1. Presentation (10 marks): week 9, Oct 28, WED 6pm, presentation: week 9-11 2. Final report (15 marks): week 12, Nov 19, THU 6pm Choose one data set below and produce good visualisations to support analytic tasks of the data. Data Sets: 1. Popular Websites across the globe (https://www.kaggle.com/bpali26/popular- websites-across-the-globe) 2. Weather Madrid (https://www.kaggle.com/juliansimon/weather_madrid_lemd_1997_2015.csv) 3. Association of Tennis Professionals Matches (https://www.kaggle.com/gmadevs/atp-matches-dataset) 4. NBA Basketball Players Stats per Season (https://www.kaggle.com/jacobbaruch/basketball-players-stats-per-season-49- leagues) 5. Netflix Movies and TV Shows (https://www.kaggle.com/shivamb/netflix-shows) 6. Apple Store Mobile Strategy Games (https://www.kaggle.com/tristan581/17k- apple-app-store-strategy-games) 7. Board Game Geek Database (https://www.kaggle.com/seanthemalloy/board- game-geek-database) 8. World University Rankings (https://www.kaggle.com/mylesoneill/world-university- rankings?select=cwurData) 9. GoodReads Choice Awards (https://www.kaggle.com/somnambwl/book-awards) 10. Museum of Modern Art Collection in New York City (https://www.kaggle.com/momanyc/museum-collection?select=artists) 11. eBay Kleinanzeigen Used Cars Database (https://www.kaggle.com/abiyyuhrusin/ebay-kleinanzeigen-car) Specifically: 1. Design (i.e., define tasks, determine analysis and visualisation) 2. Implement (i.e., data processing, determine tools/implementation to use) 3. Evaluation (i.e., evaluate your results with analytic tasks) 4. Animation/Demo of your system 5. Each student should create at least one visualisation. You can use whatever software you like or implement your system using existing tools, but you must acknowledge all your sources. Form Groups by Sep 20 Sunday 6pm – We will announce final groups by Week 5 Wed Week 9-11: presentation week 9-11, 6-9pm – We will announce schedule by Week 7 – We will play each video and ask questions if any – You need to attend Webinar at the week that your group is presenting – You need to peer-review 20 groups (submit on-line): 3 marks Presentation should be in the following format (7-10 slides): 5 mins 1. Introduction 1.1 Data sets 1.2 Tasks 2. Design and Approaches 2.1 Analysis 2.2 Visualisation 3. Implementation: tools you use or your system architecture etc 4. Evaluation 4.1 Results 4.2 Discussion 5. Planning: your plan for week 10-12 Submission Instructions: We will provide sample ppt slides – Submit your slides as one PDF file to Canvas – Submit your video presentation as one mp4 file to Canvas – Submit animation/demo (if any) as a movie to Canvas Marking Rubric: 10 marks – Quality of design: tasks, analysis and visualisation (2 marks) – Quality of implementation (2.5 marks) – Quality of results: visual analysis, storytelling (2.5 marks) – Quality of oral presentation (2 marks) – Quality of animation/demo (1 mark) Final report should be in the following format (min 10 – max 15 pages): 1. Introduction 1.1 Data sets 1.2 Tasks 2. Design 2.1 Analysis 2.2 Visualisation 3. Implementation 4. Evaluation 4.1 Results: Each member presents results with evaluation (1 page) 4.2 Discussion 5. Conclusion 6. References 7. Appendix: 7.1 Weekly group meeting minutes (0.5-1 page per week: week 6-11) 7.2 Weekly personal reflection (0.5-1 page per week: week 6-11) 7.3 Codes: zip file Marking Rubric: 15 marks (group: 10 marks + individual: 5 marks) Group marks (10 marks): – Quality of design: tasks, analysis and visualisation (1 marks) – Quality of implementation (3 marks) – Quality of results: visual analysis, storytelling (4 marks) – Quality of writing (2 marks) Individual marks (5 marks): – Quality of individual visual analysis results and personal reflection Submission Instructions: – Submit your final report as one PDF to Canvas – Submit movies (animation, demo) and source codes to Canvas 欢迎咨询51作业君

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