The Task
With reference to bullet point 3 of Challenge 2 of VAST Challenge 2022, you are required to reveal the daily routines of two selected participant of the city of Engagement, Ohio USA. For the purpose of this take-home exercise, you are required to use ViSIElse and other appropriate visual analytics methods.
Submission Instructions
This is an individual assignment. You are required to work on the take-home exercises and prepare submission individually.
- The take-home exercise submission must be written by using distill for R Markdown. It can be in either distill article or distill blog format. You are required to publish the exercise on Netlify and provide the link on the take-home exercise submission page on elearn.
- You are also required to push the take-home exercise folder and data onto your individual Github repository and provide the link on the take-home exercise submission page on eLearn.
Submission date
Your completed take-home exercise is due on 22nd May 2022, by 11:59pm evening.
Peer Learning
- ALOYSIUS TENG
- ANTONIUS HANDY
- CHE XUAN
- CHU YI-NING
- CUI JIARUI
- DAVID KWOK WEI XIANG
- DING YANMU
- HERANSHAN
SO SUBRAMANIAM
This submission
provides an excellence work of preparing the data that conform to
ViSiElse requirement, including ViSiBook for the complete study
period. - HUANG
ANNI. Figure 1 is an example of well
graphical design using ggplot2.
- HUANG YAPING
- HULWANA BINTE SAIFULZAMAN
- KIM BOMIN
- LAM KUO JIAN JEREMIAH
- LEE XIAO QI
- LI HONGYI
- LI HUAN
- LI MINQI
- LIU ZHENGLIN
- LONG
NU Insights section of this submission
provides a good example of visual storytelling.
- NI JUNQIU
- ONG ZHI RONG JORDAN
- RAKENDU RAMESH
- RAO NINGZHEN
- RAUNAK KAPUR
- RAVEENA CHAKRAPANI
- SHACHI ANIRUDHA RAODEO
- SUI TIANYUE
- TAY CHENG WEI CLARENCE
- TSENG CHIA-YI
- WANG TIANQI
- YEO KIM SIANG
- YU DI