Information Visualization
Information Visualization
The submission package should include the following items:
- A report up to 5 pages in MS Word or PDF, using the standard two-column IEEE VGTC paper submission format. Your report should follow the general framework of Heilmeier’s Catechism as close as possible, including the issue/problem you aim to study, related work (what has been done so far), the approach/solution (what is special and unique about it), the data (is it representative), and visualizations, limitations and pitfalls, and major conclusions. You should also put your work in a broader context by a brief search of how others, if any, have addressed the same/similar issue. Please include references when appropriate. If in doubt whether you should include particular references, include them.
- You may include up to 5 figures in your report. Number each of the figures.
- Optional: You may include supplementary materials such as appendices and video clips in your package.
2.2 Guidance and Formatting Instructions
Revisit Heilmeier’s Catechism and read Tamara Munzner’s guide:
http://www.cs.ubc.ca/labs/imager/tr/2008/pitfalls/pitfalls.pdf
Format your project report according to the two-column IEEE VGTC paper submission format. The length of your report should be no more than 10 pages.
http://www.cs.sfu.ca/~vis/Tasks/camera_tvcg.html
- Grading
3.1 Grading Rubric
The following rubric will be used:
- Overall cohesiveness of the project
- Does the work clearly identify a specific problem?
- Does the work provide a focused analysis of the problem?
- To what extent is the team work cohesive?
- Quality of argument, analysis, evidence, and interpretation
- Does the work make a compelling argument in terms of the depth of analysis, evidence, and convincing interpretation?
- Does the work consider alternative perspectives and offer reasonable justifications of major decisions made?
- Quality of visualization
- Clarity of presentation
4. Software Tools
You may use any visualization tools of your choice.
You may use the tools you have used in Projects A, B, and/or C, including RawGraph, Tableau Public, CiteSpace, VOSviewer, etc. You may also use tools that we have not covered in class. You may develop your own tools, although given the available time it may be challenging.
The following list illustrates the types of data and tools that may be applicable. This is not a comprehensive list. Rather it is illustrative in nature.
Tabular Data
If you will be dealing with data in tabular forms, e.g. spreadsheets and CSV data files, you may consider the following as your starting point:
- Tableau Public
- RAWGraphs
- Watson Analytics
- Google Fusion Tables
Network Data
If your data is about a network or a graph, you may consider the following:
Bibliographic Data
GeoSpatial Data
- Google Fusion Tables
- Tableau Public
- Topics
You are expected to select your own topics of interest. You are of course welcome to ask for my feedback on a short list of candidate topics you want to consider.
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