Very similar to the Data Visualisation 1 assignment, you design and build an effective data visualisation for a specific domain. The major difference is that you will use the Vega-Lite visualisation library to create maps and diagrams.
The aim of the assignment is to apply the data visualisation techniques examined during the entire semester and demonstrate their use in an innovative context.
The following requirements apply specifically for this Data Visualisation 2 assignment:
- The selected domain is clearly different from the domain of your Data Visualisation 1 visualisation.
- You use the Vega-Lite library for creating maps and diagrams. You may use other libraries for creating diagrams that are not possible with Vega-Lite, however, you must get approval from your tutor before using other libraries.
- Your Vega-Lite visualisation must load reasonably fast. This implies that data files to download cannot be large. Aim at a total downloadable size of less than 1 megabyte. If this limit is too low for your visualisation (for example, if you include video files or large zoomable raster images), then a discussion with your tutor is required before submission.
- Your web page includes at least one geographic map. If including a map does not make sense for your domain, your tutor can give an exemption for this requirement.
The following requirements from the Data Visualisation 1 assignment also apply for this assignment:
- Why? 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 an existing problem, but it must be a visualisation that is useful or relevant to people with an interest in the chosen domain.
- What? It should use a data source relevant to the domain. Data can be of any kind.
- Who? Design your visualisation for the average Australian or Malaysian.
- The visualisation must turn data into something meaningful and provide insight that would otherwise be difficult to obtain without the visualisation.
- It must provide interactive exploration.
- It needs to show some innovation. It does not have to be wholly original but cannot be a replica of a visualisation that already exists. It could be an innovative visualisation idiom,or an innovative exploration of an interesting dataset.
- It must demonstrate the use of the Five Design Sheet methodology for sketching and planning the design of your visualisation.
- It must 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.
- It must apply design principles discussed throughout the unit, such as data-ink ratio,storytelling, layout, typography and visualisation idioms with appropriate use of marks and channels.
Task Description and Schedule
- By the end of Week 8:
a.Choose a domain that you would like to explore.
b.Find relevant datasets that are publicly available.
c.Discuss your domain, design ideas, and datasets with your tutor.
d.Design your visualisation using the 5 Design Sheet Methodology.
2.Visualisation: Weeks 9 to 11:
a.The homework of Weeks 9 and 10 consist of creating a map and a diagram with Vega-Lite. You can include improved versions of the map and the diagram that you create for these homework assignments in this Data Visualisation 2 assignment. Important: Monash University policy does not allow submitting the same work for two assessments. Therefore, you need to clearly improve your homework map and diagram if you include them in this Data Visualisation 2 assignment.
b.Create a web page and embed your Vega-Lite diagrams and maps. Use CSS to style typography and design the layout of your web page. Make your visualisation publicly viewable as a GitHub page.
- Write a concise report with a maximum length of 1000 words (excluding the cover sheet and the bibliographic list) covering the following (note the following requirements are identical to those for Data Visualisation 1):
a) A title page including the number of words and a URL of your visualisation.
b) A brief description of the domain, Why and Who.
c) What: A brief description of the data (sources, authors, relevance, creation process,etc.).
d) Why and How: Give a rationale for choosing the specific idioms and explain how they help the users to achieve their tasks. Include at least one screen capture of your entire visualisation, and a description of features that are special to your visualisation.
e) Design: Briefly explain the rationale for your choices of
oLayout: How did you structure the layout in columns and rows?
oColour: What are the reasons for selecting the specific colours of your visualisation, and how did you consistently apply the colours to charts, text,and figures?
oFigure-ground: How did you vary graphical elements to create a visual hierarchy?
oTypography: What are the reasons for selecting the specific typeface(s) and text layout?
oStorytelling: How is the reader guided through the visualisation by using annotations and other means.
f) Bibliography/list of references.
g) Appendix with scans or photos of the 5 Design Sheet Methodology
Note the following is a verbatim copy from the Data Visualisation 1 assignment, except for the first paragraph about maps.
Maps: The visualisation includes at least one map that uses an appropriate map projection and shows data with an appropriate idiom.
Format: The entire visualisation must be accessible through a single URL. The entire visualisation must be visible on a single web page that can be scrolled. There should be no buttons (or other web links) that swap the major section of the web page, but you can use buttons to show and hide individual page elements.
Presentation not exploration: The goal of this assignment is to create a visualisation that communicates interesting information in an easily accessible and graphically engaging way using storytelling elements, layout principles, typography, and graphical design. The goal is not to create an expert tool for exploring and analysing a dataset.
Quality not quantity: Your visualisation will likely contain between 3 and 10 charts or diagrams that you create. However, there are no minimum or maximum numbers of charts. Instead, we are looking for carefully designed and annotated charts that – in combination with text and possibly icons and pictures – guide the user through an interesting story. Avoid pixelated or non-informative graphical elements. Complement your visualisation with concise, informative and grammatically correct text.
Interactivity: Integrate interactivity where it makes sense, but do not just add interactive elements for their own sake.
Copyright: You are encouraged to use icons and other simple graphical elements where appropriate. When using such elements, it is your responsibility to ensure you have the right to use them. Consult with your tutor if in doubt. You need to indicate the source and URL (if available online) in your report of any external element that you use, such as datasets, photos and sources of other information. There is no need to indicate the source and URL for simple icons (emojis, coats of arms, trademark icons, etc.).
Authorship: Because your visualisation is publicly accessible, you should indicate your authorship and the license under which you make your work accessible.
Plagiarism: We will follow up on any kind of academic misconduct. For this assignment, you cannot integrate non-trivial graphics (such as diagrams, charts, information graphics, etc.) created by others.
Report content: The report must not include an introduction to the visualisation topic or extra information about the topic. The visualisation itself needs to tell the entire story. There is no need to include a table of contents or a conclusion in the report.
References in report: Your report should include properly formatted references to the datasets,sources of information that you used to create your visualisation, possibly similar visualisation in the same domain, and photos, schemas, etc.) that you include in your visualisation. Your text needs to include in-text citations, and your report needs to contain a bibliographic list. The referencing style in this course is APA 6th [link], which is the recommended style for undergraduate students in the Faculty of Information Technology. Note that every in-text reference needs to be listed in the bibliographic list, and every entry in the bibliographic list needs to be referenced in the text.
Figures in report: Figures need to be numbered and referenced in the text with the figure number. Every figure needs to have a caption.
The mark will be an automatic 0 if one of the following conditions is met:
- The student does not pass the interview assessment in Week 12.
- The domain of Visualisation 2 is not clearly different from the domain of Visualisation 1.
- The web page or any Vega-Lite elements are not accessible on a public GitHub repository.
Note: Only maps and diagrams created with Vega-Lite will be marked (unless the tutor approved an exception). If the map of homework Week 9 and the diagram of Week 10 are included in this assignment, they will only be marked if they are substantially improved. If no map is included, the maximum mark for “Visualisation – Idioms and Complexity” is 5% instead of 10% (unless the tutor approved an exception). If the report does not include a working URL to your visualisation the Visualisation a, b and c (see rubric) are marked with 0. A detailed marking rubric is on the next page.
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