Take-home Exercise 2
Creating data visualisation beyond default
The Task
In this take-home exercise, you are required to:
- select one of the Take-home Exercise 1 prepared by your classmate,
- critic the submission in terms of clarity and aesthetics,
- prepare a sketch for the alternative design by using the data visualisation design principles and best practices you had learned in Lesson 1 and 2, and
- remake the original design by using ggplot2, ggplot2 extensions and tidyverse packages.
The purpose of DataVis Makeover is to improve on the original visualisation. Focus on what works, what doesn’t work, why those things don’t work, and how you made it better. You should try stick to the fields in the data set provided and improve upon the original visualisation.
Submission Instructions
This is an individual assignment. You are required to work on the take-home exercises and prepare submission individually.
The specific submission instructions are as follows:
- The analytical visualisation must be prepared by using R and appropriate R packages.
- The write-up of the take-home exercise must be in Quarto html document format. You are required to publish the write-up on Netlify.
- Provide the links to the Take-home Exercise write-up and github repository onto eLearn (i.e. Take-home Exercise section)
Submission date
Your completed take-home exercise is due on 29th January 2023, by 11:59pm evening.
Learning from senior
Peer Learning
- AISHWARYA SANJAY MALOO
- ANICA CLARICE ANTONELLA PASCUAL GALANO.
This submission provides the makeover incrementally. Each makeover is high reproducible. Able to provide constructive critics on the original design and provide appropriate alternative designs.
- ARIANA TAN RUI MIN
- BHAIRAVI VAIRAVELU
- BRYANT PHILIPPE LEE
- CHAN JING WEI MAGDALENE
- CHANG XIN XIN EDA
- CHEN YIMAN
- CHERYL JEANNE CHIEW
- CHOI SUNHAM
- FARRAH BINTE MOHD FADIL
- HOANG HUY
- HOU TAO
- HUO DA
- KHOO WEI LUN
- LAU ZHI YONG WILLIE
- LAW MAN LONG
- LAW SHIANG ROU
- LI XINGYUN
- LI YIXUAN
- LI ZIYI
- LIANG MINGHAO
- LIM EN HUI CHRISTIANA
- LUO ZHENG
- MICHAEL KEVIN WIRATAMA DJOHAN
. Managed to use appropriate sketches to critics and describe the alternative design. The descriptions of the alternative data visualisation are comprehensive and reproducible. Wraping up to submission with proper conclusion.
- PRACHI RAJENDRA ASHANI
- SHI CHEE LIANG
- SIDDHARTH SINGH
- SRIVATSAN MADAPUZI SRINIVASAN
- TAN ZEXEONG
- TAN ZHI HAO
- TAO MEIZHU
- TASAPORN VISAWAMETEEKUL
- WANG KUNRUI
- WANG RUIPENG
- XU JIAJIE
- YIN HANG
- YUN SHWE YEE KYAW
- ZHU FANGYUAN