Course Projects
Signup Sheet for the project:
Course Project:
1. Each group can have 3 or 4 students. Students should find their own teammates and those students who fail to form their own group will be assigned by the instructor. Please form a team by Sep. 30.
2. Each group will pick one of the following topics. Students are also allowed to pick topics based on their own interests, but they need to consult with the instructor beforehand. If you want to suggest your own topic, please directly talk to the professor and submit a proposal. Please fix the topic by Sep. 30.
Topic #1: Tableau Challenge (COVID-19 Dataset)
- https://github.com/nytimes/covid-19-data Links to an external site.
- https://github.com/CSSEGISandData/COVID-19 Links to an external site.
- https://www.tableau.com/covid-19-coronavirus-data-resources Links to an external site.
Topic #2: VAST challenge, 2017
- http://vacommunity.org/VAST+Challenge+2017 Links to an external site.
Topic #3: VAST challenge, 2019
- https://vast-challenge.github.io/2019/ Links to an external site.
Topic #4: Kaggle Challenge (Yelp Dataset)
- https://www.kaggle.com/yelp-dataset/yelp-dataset Links to an external site.
Topic #5: Kaggle Challenge (Olympics Dataset)
- https://www.kaggle.com/search?q=olympics+in%3Adatasets Links to an external site.
Topic #6: City Dashboard (Data.gov.hk)
- https://data.gov.hk/en/ Links to an external site.
3. Evaluation. The project will be separated into two phases.
In phase I, each group needs to get familiar with the task and the data. As a result, they need to give a presentation on the following: 1. What are the data? 2. What are the tasks? 3. What are your visualization designs? 4. Are there any design alternatives you have considered? 5. Why do you choose your designs over others?
Phase I will count 20% of the whole project. Each team is expected to give a presentation of your design in early Nov.
In phase II, each group needs to implement its design. Both static and dynamic visualization are allowed. Phase II will count for 80% of the whole project and is due on May 3. Each team is expected to give a presentation of their final system in the last two classes of the course.
The grading criteria:
- The application of the knowledge and skill from the course
- The sophistication of your solution
- The findings
- The presentation
Some past projects:
1. Visualizing start-up funding data
2. Origins of English
3. Aviation Safety Visualization
4. Visualization of Block Chain Data
5. Formula 1 visualization
6. Yelp Data Visualization
7. Hong Kong Horse Racing Data Visualization
8. Hong Kong House Pricing Data Visualization
9. Donald Trump Twitter Data Visualization
10. Stackoverflow Forum Data Visualization
11. Movie Review Data Visualization
12. AirBnB Data Visualization
Other example data sources used previously:
Data from New York City: https://opendata.cityofnewyork.us/ Links to an external site.
Data from Hong Kong: https://data.gov.hk/en/ Links to an external site.
Kaggle data: https://www.kaggle.com/data Links to an external site.
Sample project presentation PPT: https://drive.google.com/open?id=1a8w0fPt9Qy6FbiT0EXEWLC2On3EJR92j Links to an external site.