Take-home Exercise 3: Be Weatherwise or Otherwise

Published

February 2, 2024

Modified

February 23, 2024

Overview

According to an office report as shown in the infographic below,

  • Daily mean temperature are projected to increase by 1.4 to 4.6, and
  • The contrast between the wet months (November to January) and dry month (February and June to September) is likely to be more pronounced.

As a visual analytics greenhorn, you are keen to apply newly acquired visual interactivity and visualising uncertainty methods to validate the claims presented above.

The Task

In this take-home exercise, you are required to:

  • Select a weather station and download historical daily temperature or rainfall data from Meteorological Service Singapore website,
  • Select either daily temperature or rainfall records of a month of the year 1983, 1993, 2003, 2013 and 2023 and create an analytics-driven data visualisation,
  • Apply appropriate interactive techniques to enhance the user experience in data discovery and/or visual story-telling.

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 report must provide detail discussion and explanation of:
    • the data preparation process,
    • the selection of data visualisation techniques used,
    • and the data visualisation design and interactivity principles and best practices implemented.
  • The write-up of the take-home exercise must be in Quarto html document format and publish on Netlify.

Submission date

Your completed take-home exercise is due on 18th February 2024, by 11:59pm evening.

Peer Learning