Take-home Exercise 1

Published

April 13, 2024

Modified

April 14, 2024

Creating data visualisation beyond default

Setting the Scene

There are two major residential property market in Singapore, namely public and private housing. Public housing aims to meet the basic need of the general public with monthly household income less than or equal to S$14,000. For families with monthly household income more than S$14,000, they need to turn to the private residential market.

The Task

Assuming the role of a graphical editor of a median company, you are requested to prepare minimum two and maximum three data visualisation to reveal the private residential market and sub-markets of Singapore for the 1st quarter of 2024.

The Data

To accomplish the task, transaction data of REALIS will be used. A complete set of the private residential property transaction data from 1st January 2023 to 31st March 2024 have been downloaded via SMU e-library database service. It is available on the Assignment -> Take-home Exercise 1 of eLearn.

For student who are interested to download the data by yourself, please feel free to visit SMU e-library.

The Designing Tool

The data should be processed by using appropriate tidyverse family of packages and the statistical graphics must be prepared using ggplot2 and its extensions.

The Write-up

The write-up of the take-home exercise should include but not limited to the followings:

  • A reproducible description of the procedures used to prepare the analytical visualisation. Please refer to the senior submission I shared below.

  • A write-up of not more than 150 words per each data visualisation, describing and discussing the patterns and/or trends reveal by each visualisation prepared.

Submission Instructions

This is an individual assignment. You are required to work on the take-home exercises and prepare submission individually.

Important

The specific submission instructions are as follows:

  • The analytical visualisation must be prepared by using R and appropriate R packages.
  • Limit your submission to not more than three data visualisation.
  • 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.

Submission date

Your completed take-home exercise is due on 21st April 2024 (Sunday) 26th April 2024 (Friday) by 11:59pm mid-night.

Learning from senior

Peer Learning

Reference