ECTS file

As data becomes easier and cheaper to generate, we are moving from a hypothesis-driven to data-driven paradigm in scientific research. As a result, we don’t only need to find ways to answer any questions we have, but also to identify interesting questions/hypotheses in that data in the first place. In other words: we need to be able to dig through these large and complex datasets in search for unexpected patterns that - once discovered - can be investigated further using regular statistics and machine learning. Interactive data visualization provides a methodology for just that: to allow the user (be they domain expert or lay user) to find those questions, and to give them deep insight in their data.

Content:

• Background and context of data visualization and visual data analysis
• Design as a process: framing the problem, ideation, sketching, design critique, …
• Programming visualizations: static and dynamic
• Project: visualization of expert dataset

2020-2021

Teaching assistants:

• Jannes Peeters: jannes.peeters@uhasselt.be
• Danai Kafetzaki: danai.kafetzaki@uhasselt.be
• Jelmer Bot: jelmer.bot@uhasselt.be

Schedule

Sessions

	Date	Topic
1	11/2	Introduction
2	18/2	Introduction
3	25/2	Introduction Tableau + explain project requirements
4	4/3	HTML & SVG
5	11/3	Design session
6	18/3	Design session
7	25/3	Peer-feedback on intermediate designs
8	1/4	Flipped classroom: Q&A on visualisation libraries: vega/p5/D3/svelte
9	22/4	Peer-feedback on intermediate implementations
10	29/4	Q&A: teaching team available for feedback
11	6/5	Q&A: teaching team available for feedback
12	20/5	Poster session

Assignments

These assignments are to be prepared for the next session.

	Deadline	Assignment
1	11/3	- Choose data for project, make data exploration, define research questions - Try out miro
2	18/3	- Present data to teaching team for go/no-go - Create additional design and put on miro
3	21/3	- Blog post 1: introduction to project - Blog post 2: description of the data
4	28/3	Blog post 3: visual designs
5	1/4	- Read at least 2 implementation tutorials (svelte/p5/vega/d3) - Blog post 4: comments on blogs of other groups
6	15/4	- Start first implementations on project
7	22/4	Blog post 5: first intermediate blog post on implementation
8	6/5	Blog post 6: second intermediate blog post on implementation
9	20/5	Final report and video submitted
10	27/5	Peer feedback on assigned other group’s project

Project groups

1. Data Wizards: Nicolas Cozzi, Luca Jonas Bernasconi, David Badajkov, Luka Beverin (blog: https://medium.com/@datawizards.kuleuven; primary TA: Jannes)
2. 3FM: Dishani Sen, Natalia Bravo, Ladan Hosseinimanesh, Piet Olivier (blog: https://pietolivier.wixsite.com/theoryofpatterns; primary TA: Jannes)
3. SEGA: Elizabeth Valdez, Andreas Papaioannou, Gregory van Kruijsdijk, Sanne Kerckhoffs (blog: https://segadv.wordpress.com/; primary TA: Jannes)
4. ReadyPlayerOne: Hengqiao Rong, Tianchen Wang, Ran Huo, Luna Zhang (blog: https://dvreadyplayerone.wixsite.com/blog; primary TA: Jannes)
5. Data Vizers: Maria Nankova, Nura Kawa, Shourya Bhattacharya, Minh Cuong Hoang (blog: https://medium.com/@datavizers; primary TA: Jannes)
6. SportsViz: Laura Knüppel, Pavel Novotny, Arabella D’Havé, Elizabeth North (blog: https://medium.com/@SportsViz; primary TA: Jannes)
7. Data Sheep: Hesna Aksoy, Pamela Inostroza, Aharon Valdes, Geoffrey Makondele (blog: https://medium.com/@DataSheep; primary TA: Jannes)
8. Data Warriors: Ethan Jones , Justine Aeyels, Khachatur Papikyan, Sanya Anand (blog: https://medium.com/@data_warriors; primary TA: Jannes)
9. Visual Reality: Sybren De Boever, Ömer Yiğit, Maxime Keutgen, Rana Cansu Kebabci (blog: https://visualreality.medium.com/; primary TA: Jannes)
10. UBUNTU: Franziska Rüffer, Pauline Van Camberg, Marius Brusselmans, Kofi Agyabeng (blog: https://kofiagyabeng.wixsite.com/website ; primary TA: Jelmer)
11. WHW: Ninh Vu Van, Hasan Salim Kanmaz, Milton Ossamu Tanizaka Filho, Zofia Anna Hołubowska (blog: https://medium.com/whw-notes ; primary TA: Jelmer)
12. The Illusionists: Sarah Al-awa, Nina Morgenstern, Felix Linus Auer, Luis Lamiable Carbonell (blog: https://medium.com/@TheIllusionists; primary TA: Jelmer)
13. Pallet Town Gang: Joani Radhima, Tryfon Michalopoulos, Michail Athanasiadis, Free to fill or remain empty (blog: https://joaniradhima.wixsite.com/pallettowngang; primary TA: Jelmer)
14. REFRAME:REviewing Female poweRful AsseMbliEs: Sonia Socadagui, Ana Maria Giraldo, Zoi Karampatzaki, Danai Andreadi (blog: https://medium.com/@REFRAME2021; primary TA: Jelmer)
15. Truthseekers4: Antoine Chen, Sander Van Wayenbergh, Altynsay Sanalova, Faraz Mirza (blog: https://medium.com/@truthseekers4; primary TA: Jelmer)
16. Group1: Nan Hu, Xinyi Xu, Wenbo Gao, Ziyue Zhu (blog: https://medium.com/xinyi-xu; primary TA: Jelmer)
17. Data4Change: Filippo Nicolini, Yifan Song, Tepmory Srey, Inès Zitouni (blog: https://yifan-song.medium.com/test-aa48ef8de592; primary TA: Jelmer)
18. Visual Star: Le Fan, Bowen Yang, Kaiqian Gong, Zhaoxian Li (blog: https://medium.com/@Visual_Star; primary TA: Jelmer)
19. EnergyDB: Kexin Xie, Pai Li, Yiming Shi, Chunbo Wang (blog: https://medium.com/@EnergyDB; primary TA: Danai)
20. Data Show: Vancesca Dinh, Mengyang Zhang, Quandi Zhang, Alexandros Ntougias (blog: https://medium.com/@datashow.dataviz; primary TA: Danai)
21. Quirky Dust: Lieven Govaerts, Jason Pascal-Claes, Ruben De Smet, Anne Mensink (blog: https://medium.com/quirky-dust; primary TA: Danai)
22. Novice Village: Yu Zhang, Yuexue Jin, Xiaolei Wang, Shibin Li (blog: https://medium.com/@l.shibin; primary TA: Danai)
23. Beginner: Hao Zhu, Xiao Wang, Shiqi Wang, Shichen Wu (blog: https://medium.com/@4beginners; primary TA: Danai)
24. Lapwing: Elias Makonnen, Luana Marinho do Nascimento, Olga Grytsenko, Clifford Cele (blog: https://medium.com/@teamdatawing; primary TA: Danai)
25. Team Robin: Jiajing He, Lihan Liu, German Camacho, Andres Perez (blog: https://medium.com/@RobinVisualizes; primary TA: Danai)
26. Urban Outlook: Xierui Song, Arailym Jussupova, Kendall Brown (blog: https://medium.com/urban-outlook; primary TA: Danai)