Take-home Exercise 4
The Task
In this take-home exercise, you are required to uncover the impact of COVID-19 as well as the global economic and political dynamic in 2022 on Singapore bi-lateral trade (i.e. Import, Export and Trade Balance) by using appropriate analytical visualisation techniques learned in Lesson 6: It’s About Time. Students are encouraged to apply appropriate interactive techniques to enhance user and data discovery experiences.
The Data
For the purpose of this take-home exercise, Merchandise Trade provided by Department of Statistics, Singapore (DOS) will be used. The data are available under the sub-section of Merchandise Trade by Region/Market. You should download the data by clicking on the link Download all in Excel on the same webpage. The study period should be between January 2020 to December 2022.
The Designing Tool
For the purpose of this take-home exercise, ggplot2 and its extension should be used to design the analytical visualisation. tidyverse family of packages should be used to prepare the data.
The Write-up
The write-up of the take-home exercise should include but not limited to the followings:
Describe the selection and designed consideration of the analytical data visualisation used. The discussion should limit to not more than 150 words each.
A reproducible description of the procedures used to prepare the analytical visualisation. Please refer to the peer submission I shared.
A write-up of not more than 100 words to discuss the patterns reveal by each analytical visualisation prepared.
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
The completed take-home exercise is due on 26th February 2023, by 11:59pm evening.
Learning from senior
KELLY KOH KIA WOON DataViz Makeover write-up on Netlify and Tableau Public link. A must read submission.
How has Singapore changed since 2011? by Raymond TEO LIP PENG. This submission provides an useful reference on how to create animated motion plot by using time-oriented data.
Singapore’s Demographic Composition Across Time by DENISE ADELE CHUA HUI SHAN. This submission provides interesting approaches to reveal values change over time without having to use animation.
Peer Learning
CHERYL JEANNE CHIEW
Sub-section TREEMAP ANIMATION: BY COUNTRIES of this submission provides an interesting use case of treemap. Suggestion for further improvement: (1) assign area = total trade and fill = either import or export, and (2) area = total trade and fill = trade banlance.
HOU TAO
In this submission, you will learn how to put R function programming into data visualisation design.MICHAEL KEVIN WIRATAMA DJOHAN
Effective data preparation is the pre-requisite of creating elegant and functional data visualisation. There are a lot can be learned from 2. Data Preparation of this submission. For Data Visualisation design, I strongly recommend Section 3. Visualisation where by the design consideration and steps implemented were comprehensively discussed.