1 Aims and overview For your data visualisation and analysis project you are expected to create a visualisa- tion that investigates some aspect(s) of real data. You will need to find a scientific multi- dimensional dataset (e.g., online scientific data repositories). You must use scientific data (e.g., collected from census, surveys, experiments or simulations), not a mathematical ex- pression. You may use more than one dataset if you wish. You cannot use datasets provided with Matlab or other software packages. For the visualisation project, you will be showing that you can apply methods such as we cover in the lecture to analyse, understand, and/or communicate or teach about data. This means that the data matters! If your data is too simple, you won't be able to show much use of visualisation or data analysis. Look for data that has some (or all) of these features: • Multiple independent variables. In this case, you will be interested in correlations, dimensionality reduction (e.g., principal component analysis), etc. • Multiple dependent variables. You might be interested in correlations, in trying to display the data in a way that the viewer can understand it, etc. • Complex behaviour over space. You might be interested in how data in regions corre- lates with neighbouring regions, etc. If your data is geographical, you can usually find other dependent variables where possible correlations are interesting. • Complex behaviour over time. You will be interested in looking for patterns: are there long term trends, cycles, etc.? Pick a subject area that you are really interested in: you could also approach a UQ researcher in that area to see if they could provide you with data. You can use a computer language and visualisation tools of your choice. The project is assessed based on 3 components: • Proposal (pass/fail) • Presentation (inadequate/poor/good/excellent) • Report (1–7) 4 Report Your report should include (concisely): a short introduction, description of where you found the data, any data preparation (statistical or other) and methods/analysis used; and discus- sion of how the visualisation facilitates your understanding of your data. Include figures (attractive presentations of your visualisations), as well as references to sources. Aim for about 3000 words, or 2–3 pages of text, excluding figures. The report should be provided as a document file (doc, pdf, html). Examples reports by past students are provided on the course Blackboard site. 4.1 Criteria & Marking The report is given a grade from 1–7. The report must include: • Problem Statement (the what and why) • Methods, techniques, execution and results (how) • Discussion The grade is based on the coverage of these items, and also the quality of presentation of the report, and demonstrating creativity, diversity of skills/approaches and judicious applica- tion of course material. If no report is submitted, a grade of 0 will be given for the report.