Difference between revisions of "Assignment"
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The assignment is part of the bigger Shiny-based Visual Analytics Application (Shiny-VAA) project. Each team member is required to select a sub-module from the proposed Shiny-VAA and to complete the tasks below: | The assignment is part of the bigger Shiny-based Visual Analytics Application (Shiny-VAA) project. Each team member is required to select a sub-module from the proposed Shiny-VAA and to complete the tasks below: | ||
| − | + | * Conducting literature review on how the analysis were performed before. The focus should be on identifying gaps whereby interactive web approach and visualanalytics techniques can be used to enhance user experience on using the analysis techniques. | |
| − | + | * Preparing the storyboard for the design of the sub-module. | |
| − | + | * Extracting, wrangling and preparing the input data required to perform the analysis. The focus should be on exploring appropriate tidyverse methods | |
| − | + | * Testing and prototyping the proposed sub-module in R Markdown. The R Markdown document must be in full working html report format. This [https://rpubs.com/deniseadele/ACLED_pointpatterns link] provides a useful example for your reference. | |
= Deliverable = | = Deliverable = | ||
| − | + | * Upload the R Markdown report and data to your team Visual Analytics Project Github repository. | |
| − | + | * Knit the R Markdown document into web blog format and publish it on Netlify. | |
| − | + | * You are required to provide the links for both the web blog and Tableau Public on eLearn and on course wiki. | |
| − | + | * Provide the links for both the Visual Analytics Project Github repository and web blog of Netlify on eLearn. | |
Revision as of 16:51, 17 March 2021
ISSS608 Visual Analytics and Applications
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The Task
The assignment is part of the bigger Shiny-based Visual Analytics Application (Shiny-VAA) project. Each team member is required to select a sub-module from the proposed Shiny-VAA and to complete the tasks below:
- Conducting literature review on how the analysis were performed before. The focus should be on identifying gaps whereby interactive web approach and visualanalytics techniques can be used to enhance user experience on using the analysis techniques.
- Preparing the storyboard for the design of the sub-module.
- Extracting, wrangling and preparing the input data required to perform the analysis. The focus should be on exploring appropriate tidyverse methods
- Testing and prototyping the proposed sub-module in R Markdown. The R Markdown document must be in full working html report format. This link provides a useful example for your reference.
Deliverable
- Upload the R Markdown report and data to your team Visual Analytics Project Github repository.
- Knit the R Markdown document into web blog format and publish it on Netlify.
- You are required to provide the links for both the web blog and Tableau Public on eLearn and on course wiki.
- Provide the links for both the Visual Analytics Project Github repository and web blog of Netlify on eLearn.
Submission date
4th April 2021 (Sunday), mid-night 11:59pm.
