in the interest of completenessUniversity of Sydney

School of Computer Science

COMP5048 Assignment 2: Group Work

By:

Prof. Seokhee Hong Dr. Amyra Meidiana Shijun Cai

COMP5048 Visual Analytics 2023 Assignment 2: Group Assignment

Deadlines: Week 13, May 25, THU 11:59pm

Choose one data set below per group and produce good visualisations to support tasks of the data. You can

• Use any existing tool

• Design/implement new algorithms/methods

• Implement existing algorithms

• Design/implement a new visual analytic system You must acknowledge all your sources.

Data Sets:

1. Top 100 popular movies (https://www.kaggle.com/datasets/georgescutelnicu/top-100-popular- movies-from-2003-to-2022-imdb)

2. Global Video Game Sales and Ratings (https://www.kaggle.com/datasets/thedevastator/global-video-game-sales-ratings)

3. Game Recommendations on Steam (https://www.kaggle.com/datasets/antonkozyriev/game- recommendations-on-steam?select=recommendations)

4. Google scholar publications in data science (https://www.kaggle.com/datasets/victoryerz/ms- data-science-universities?select=publications)

5. Food.com – Recipes and Reviews (https://www.kaggle.com/datasets/irkaal/foodcom-recipes- and-reviews)

6. Google Books (https://www.kaggle.com/bilalyussef/google-books-dataset)

7. Australian Football League (AFL) Database (https://www.kaggle.com/datasets/stoney71/aflstats?select=games)

8. Unicorn Companies (https://www.kaggle.com/datasets/deepcontractor/unicorn-companies- dataset)

9. Car Specification Dataset (https://www.kaggle.com/datasets/jahaidulislam/car-specification- dataset-1945-2020)

10. Earthquake dataset (https://www.kaggle.com/datasets/warcoder/earthquake-dataset)

11. Freedom Rankings Per Country (https://www.kaggle.com/datasets/justin2028/freedom-in- the-world-2013-2022)

    Submission Instructions:

    Group report (40 marks): Canvas → Assignment 2 Group Report

    • Only one submission per group

    • Submit group report with group cover page (declare individual contribution with signature) as one PDF

    • Submit any animation/demo movie in one mp4

    • Submit source codes in a zip file

      Individual report (20 marks): Canvas → Assignment 2 Individual Report

    • One submission per student

    • Submit your individual report with individual cover page as one PDF

    • Submit any animation/demo movie in one mp4

    • Submit source codes in a zip file

Instructions:

For the selected data set:

1. Design

   1. Tasks: Define tasks based on various aspects of the data, including:

      • Simple tasks: Overview, simple statistics, e.g., ranking.

      • Middle-level tasks: Identify important information, similarity, clusters, correlation.

      • Complex tasks: Identify relationships, temporal dynamics, comparison.

   2. Data processing: Extract subsets from the selected data for each data type:

      • High-dimensional data

      • Graph data

      • Dynamic data

   3. Analysis: Analyse the data to support tasks

   4. Visualisations: Construct good visualisations for each data type

2. Implementation: You can

   • Use any existing tools

   • Design/implement new algorithms/methods

   • Implement existing algorithms

   • Design/implement a new visual analytic system

3. Evaluation: Evaluate how well your visualisations support tasks

   • Visual analysis, Storytelling, Pros/cons

4. Demo of your group’s system/visualisation as a movie

5. For group work:

   • Each group should extract at least one subset per data type

   • Each group should have at least one collaborative work (including data processing, analysis, visualisation, implementation, animation)

   • Each student should create at least one visualisation

   • Each visualisation should be significantly different from others in the same group

6. For individual work:

   • Each student should extract at least one different subset per data type

   • Each student should create at least one visualisation per data type

   • Each visualisation should be significantly different from others in the same group

7. Report writing: use the correct terminology consistent with the lecture notes

Marking Rubric:

Group marks (40 marks):

• Quality of Design (10 marks)

• Quality of Implementation (12 marks)

• Quality of Results and Evaluation (12 marks)

• Quality of Writing (6 marks)

  Individual marks (20 marks):

• Quality of Design (5 marks)

• Quality of Implementation (5 marks)

• Quality of Results and Evaluation (6 marks)

• Quality of Writing (4 marks)

Group report: should be in the following format (min 20 pages):

1. Introduction

   1. Data set

   2. Summary of Contribution

2. Design

   1. Tasks

   2. Data processing

   3. Analysis

   4. Visualisation

3. Implementation

4. Evaluation

   1. Results (for each visualisation)

      1. Visualisation

      2. Visual analysis, Storytelling

      3. Pros/cons

   2. Discussion: Summary, Limitation

5. References

6. Appendix (not included in page limit):

   1. Weekly meeting minutes, including attendance, discussion, plan (0.5 page per week: week 6-12).

   2. Codes

Individual report: should be in the following format (min 10 pages):

1. Introduction

   1. Data set

   2. Summary of Contribution

2. Design

   1. Tasks

   2. Data processing

   3. Analysis

   4. Visualisation

3. Implementation

4. Evaluation

   1. Results (for each visualisation)

      1. Visualisation

      2. Visual analysis, Storytelling

      3. Pros/cons

   2. Discussion: Summary, Limitation

5. References

6. Appendix (not included in page limit):

   1. Individual notes: progress and plan (3 lines per week: week 6-12).

   2. Codes