Take-home Exercise 3

Published

May 15, 2023

Modified

Invalid Date

The Task

With reference to Mini-Challenge 3 of VAST Challenge 2023 and by using appropriate static and interactive statistical graphics methods, you are required to help FishEye identify companies that may be engaged in illegal fishing?

Important
  • You only need to attempt one out of the four questions (excluding Question 5) provided above.
  • The data should be processed by using appropriate tidyverse family of packages and the statistical graphics must be prepared by using appropriate R packages.

Assessment Rubic

  • Quality of Visual Storytelling (30%): Ability to provide visually-driven discussions and answers on the tasks and questions chosen.
  • Quality of Data Visualisation (30%): Appropriateness, functional and aesthetics of the data visualisation used.
  • Quality of Data Preparation and Wrangling (20%): Appropriateness and proficiency of using tidyverse and other related R packages to prepare and wrangle the data.
  • Quality of Reproducibility (20%): Completeness and comprehensiveness of documenting the data visualisation process including and not limited to data import, data preparation, data wrangling, data integration and data visualisation design.

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 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 11th June 2022, by 11:59pm evening.

KickStarter

  • KickStarter of Take-home Exercise 3 in html format.

Peer Learning

Learning from Past Work