计算机代写|COMP5048 Visual Analytics 2023S1 Assignment 1: Individual Work
这是一篇来自澳洲的关于视觉分析计算机代写
Category A:
For this category, visualise the data using any tool from the following:
Tulip, D3
A1: Best-selling albums of 2000s
- Visualise the whole tree using TWO different layouts.
- Select one label from the data, e.g., could be the most popular label or your favourite, and extract the subtree rooted at the label.
- Visualise the subtree rooted at the selected label.
A2: Best-selling singles of 2000s
- Visualise the whole tree using TWO different layouts.
- Select one genre from the data, e.g., could be the most popular genre or your favourite, and extract the subtree rooted at the genre.
- Visualise the subtree rooted at the selected genre.
Category B:
For this category, visualise the data using any tool from the following:
yEd, Tulip, Gephi, NetworkX
B1: Composers graph
- Analyse the graph to identify the top 150 composers and extract the induced subgraph containing the top composers.
- Visualise the subgraph using TWO different layouts.
- Analyse the subgraph using graph analysis methods to identify the most influential composers and display the analysis results in the visualisation.
B2: TVCG collaboration graph
- Analyse the graph to identify the top 150 collaborators and extract the induced subgraph containing the top collaborators.
- Visualise the subgraph using TWO different layouts.
- Analyse the subgraph using graph analysis methods to identify the most influential collaborators and display the analysis results in the visualisation.
Category C:
For this category, visualise the data using any tool from the following:
yEd, Tulip, Graphviz
C1: Movie remakes
- Analyse the graph to identify the influential directors and movies.
- Visualise the graph using TWO different layouts.
- Display the analysis results in the visualisation.
C2: Hrafnkels Saga
- Analyse the graph to identify the influential characters and relationships.
- Visualise the graph using TWO different layouts.
- Display the analysis results in the visualisation.
Category D:
For this category, visualise the data using any tool from the following:
yEd, Tulip, Gephi, NetworkX, D3
D1: “INFECTIOUS” exhibition interaction network
- Analyse the graph to identify the important people and interactions, both in each time slice and over all time slices.
- Visualise the graph, showing all time slices of the graph, using TWO different methods.
- Display the analysis results in the visualisation.
D2: Workplace contacts graph
- Analyse the graph to identify the important people and interactions, both in each time slice and over all time slices.
- Visualise the graph, showing all time slices of the graph, using TWO different methods.
- Display the analysis results in the visualisation.
Submission: Minimum 16 – page report
Minimum 4 pages per data:
- 1st page: 1st Visualisation
- 2nd page: 2nd Visualisation
- 3rd-4th pages: Description with the following subheadings:
◦ Design: tools and layouts with justification (design choice)
◦ Analysis: explain analysis methods used with justification on how they support the task
◦ Evaluation: comparison of pros and cons between the two visualisations
◦ Acknowledge all your sources in References
◦ Provide code, if applicable, in Appendix
◦ In Appendix, you can include one more visualisation for each data:
▪ Should be substantially different using different techniques
▪ Include description as above for each alternative visualisation
▪ Add comparison between different visualisations of the same data