This week’s lesson covers mainly the final part of visualisation of data, mostly the presentation methods, and how to make use of different method to accurately bring out the same data to user effectively. From 2/3 dimensional data to multi-dimensional data presentation methods. Some of the more interesting data presentation method we learnt is multi-dimensional data presentation using parallel axis in software. Wednesday was such a intensive day for all of us, it was 5 weeks worth of materials in a single day! To be more precise, 5 weeks worth of visualisation of data and Chinese lesson! We died..

Friday lesson.. It was a great session with the instructor and really insightful thoughts behind visualisation of data, but lets not talk about work anymore! Its Theme dinner again!!! This week, we visited the famous Hang Zhou Green Tea dinner, and we shall let the picture do the rest of the talking.

This friendly looking fish head is nothing friendly.. And for the first time, Vanessa to declare war on Man VS Food.. #womanwon #foodlost #Vanessaissick #thebeast #Marvinsupport

Stay Tune for the next post~

Theme J
Visualisation of Data

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Team members: Aditya Raju / Basil Yap Ji Tsing / Debbie Lim Li Lin / Kan Yan Zhe / Lee Jing Rui, Marvin / Lee Quan Feng / Ong Wen Jun, Dominic / Sim Yan Jie / Tan Kwan Fu / Vanessa Tan Yun Han In this project of Visualization of Data, the team will receive environment data from China's department of Statistics to perform data analysis and to generate graphical representation of the data. In order to deliver the desired work, mathematical skills (statistics and data analysis) and graphics designing skills (photoshop and Illustrator) are crucial in presenting the environmental data in the simplest and most accurate manner. Programming skills such as Python, Javascript and C+ are part of the required skills of the project as the data has to be represented in an application.


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