Storytelling With Open Data - IT/Computer Science Assignment Help

Assignment Task

Learning Objectives Assessed 
This assessment task supports 
Feedback 
Feedback will be provided using Canvas’ Speed Grader™ and may include written inline feedback, general comments and/or audio feedback. Submission Checklist 
An R-based, web-hosted (e.g. Plotly, RPub, Shinyapps.io etc.) data visualisation. (see below) You must include a reference(s) to your data source(s) in the web-hosted assignment! 
A PDF or Word document uploaded to Canvas containing your student name, student number, URL to your published assignment and all the raw code required to reproduce your data visualisation assignment.  
You do not need to upload your data. However, you must have it ready to share with the marker if requested.  
Questions about Assignment 3? Ask on Teams 
Failure to meet the submission requirements will incur a late penalty and delay your feedback. 
Assignment Instructions 
The goal of Assignment 3 is simple. Tell a compelling story using data visualisation. What story you tell is up to you. The constraints for telling the story are detailed below. 
Constraints 
Assignment 3 must be based on open or public data. Ensure you include a reference to your data source(s) in the assignment. 
Your assignment must be an R-based, web-hosted dashboard, application or interactive slideshow/storyboard. You can use static or interactive/animated plots. Reports and video presentations are NOT permitted. How you design and tell the story is up to you. However, the following restrictions apply: 
Dashboards or applications: One HD screen (1080p - no scrolling) with a maximum of 3 pages/areas/tabs. 
Slideshows or storyboards: 10 transitions/slides 
Your assignment must be hosted online and publically accessible using a URL (e.g. Plotly, RPubs, Shinyapps.io etc.) Need ideas? 
If you are short on time and need some ideas for Assignment 3, jump on Teams  . Ideas will be shared and discussed.  
Late Submissions 
Late submissions will be marked in accordance with the late submission policy. Please see the Welcome and Orientation Module in Canvas.  Collaboration versus Collusion and Plagiarism 
You are permitted to discuss and collaborate on the assignment with your classmates. However, the assignment must be an individual effort. Assignments will be submitted through Turnitin, so if you’ve copied material, code and data from the web or from a fellow classmate or previous students, it will be detected. It is your responsibility to ensure you do not copy or do not allow another classmate to copy your work. If plagiarism is detected, both the copier and the student copied from will be responsible. It is good practice to never share assignment files with other students. You should ensure you understand your responsibilities by reading the RMIT University website on academic integrit. Ignorance is no excuse.  

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