Take-home Exercise 3
The Task
In this take-home exercise, you are required to apply appropriate visual analytics methods to:
- help FishEye, a non-profit organization that focuses on illegal fishing, to better identify bias, track behavior changes, and infer temporal patterns from the knowledge graphs prepared by their data analysts, or
- help NorthClass intuitively perceive the learning status of learners and provide feasible suggestions for adjusting teaching strategies and course designs, or
- to help DataInsight visualise and understand industry and geographical developments, and provide actionable recommendations for talent acquisition and job search decisions.
Important
- You only need to attempt either one out of the three Mini Cases (i.e. MC1, MC2, MC3) or Grand Challenge provided in VAST Challenge 2024 or Data Analysis Inspires Wisdom: Time-Series Multivariate Education Data Visual Analytics Challenge or Insight into Recruitment Data: Multivariate Recruitment Data Visual Analytics Challenge of ChinaVis 2024.
- The data should be processed by using appropriate tidyverse family of packages and the Visual Analytics tools 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 2nd 9th June 2024, by 11:59 mid-night.
KickStarter
Learning from Senior
- ISSS608 2016-17 T3 Assign GUAN YIFEI. Although this assignment was completed by using Tableau Professional but there are a lot we can learn from the submission especially the discussion of visual insights.
- ISSS608 2016-17 T3 Assign ZHANG YANRONG. Although this assignment was completed by using QGIS and Tableau Professional but there are a lot we can learn from the submission especially the discussion of visual insights.
- ISSS608 2021-22 April Term Assignment 6: Ong Zhi Rong Jordan
- ISSS608 2021-22 April Term Assignment 6: Raunak Kapur
AY2022-23 April Term