FIT2079: Data Visualisation Project - Data Analysis Assignment

Internal Code: TV668

Data Analysis Assignment:

Task: In this multi-part assignment worth 30% of your final mark, you will design and build an effective data visualisation. This will require you to critically evaluate information and visualisations in a domain of your choice and develop your own visualisation using the Tableau software. The aim of the assignment is to apply the data visualisation techniques examined over the course of the semester and demonstrate their use in an innovative context. ? It should address a particular need within a specific domain of your choosing. It must be targeted to the domain, its needs, and its users. This does not mean the visualisation has to solve a problem as such, but it must be a visualisation that is useful to people within the chosen domain. ? It should use a data source relevant to the domain. The data source does not have to come from within the domain, however, the data itself must obviously be relevant. Data can be of any kind. ? It should turn data/information into something meaningful and provide insight that would otherwise be difficult without the visualisation. ? It can either consist of a static visualisation of the data or provide interactive exploration. ? It should show some innovation. It does not have to be wholly original, but CANNOT simply be a replica of a visualisation that already exists in the domain. It could be an innovative visualisation or the use of a known visualisation with a new kind of data. ? It should demonstrate the use of the Five Design Sheet methodology for sketching and planning the design of your visualisation. ? It should demonstrate the use of the Munzer What/Why/How framework discussed in lectures for correctly assessing the type of data, the goals of the visualisation and the design of the visualisation, respectively. Questions: 1. critically analyse data visualisations; 2. create effective data visualisations; 3. describe the advantages, drawbacks and pitfalls of the visual presentation of data as compared to its presentation using other media.