Assignment 2 (60%)
Deliverables
This assignment contributes 60% to the overall grade.
| Deliverable | Submission | Weightage | Deadline | Mode |
|---|---|---|---|---|
| Blueprint | Zipped file with Tableau packaged blueprint file (.twbx) | 40% | 22 Aug 2025, Friday, 2359hrs | POLITEMall |
| Documentation | Microsoft Word / PDF | 20% |
Multiple submissions are allowed in the submission link in POLITEMall before the deadline. Only the latest will be considered for marking. Please refer to Annex A on the standard marking criteria.
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Blueprint (40%)
Develop a Tableau storyboard using insights gained from the data story. Submit a Tableau Packaged (.twbx) file with a viewable storyboard and NOT a Tableau Workbook (.twb) file.
- The digital storyboard must be built using the provided dataset, ensuring the data used is of good quality and properly cleaned.
- You should apply principles of visual data design and selection of appropriate visual charts in the digital storyboard.
- You should apply principles of narrative model (Freytagâs Pyramid) to the digital storyboard.
- The digital storyboard should provide interpretation of the data insights and a clear call for action.
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Documentation (20%)
Submit a Microsoft Word/PDF documentation of not more than 15 pages, excluding cover page, references, and appendices. Please ensure the following:
- Your documentation is comprehensive and documented with the main aspects as indicated in the âGuide for your documentationâ.
- Proper acknowledgement and referencing are included (if applicable).
- The documentation should include a cover page and the academic declaration provided in POLITEMall, which can be downloaded from POLITEMall Assignment folder.
- All documentation and analysis are aligned with the guide and marking criteria (Refer to Annex A).
- Include the screenshots of the Tableau data story in your appendix.
Guidelines for Documentation
The following are guidelines for your PowerPoint slides:
⢠Introduction
Describe the key issue(s) and explain how it will improve or solve an existing key issue(s). Summarize the primary insights or calls to action that the storyboard illustrates.
⢠Data Preparation
You are required to build a digital storyboard using the given dataset. Begin by conducting basic data profiling to understand the structure and content of the dataset. While no data cleaning is required, you must identify and appropriately assign variables as dimensions or measures to support meaningful analysis.
As part of your data story:
- Create 2 calculated fields
- Use the calculated fields in at least 2 different visualisation within your storyboard.
- Clearly explain how the use of the calculated fields can help to support your narrative
Include relevant screenshots of your calculated fields and visualisations in your documentation.
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⢠Storyboard and Narrative Model
Include screenshots showing key story points from your digital storyboard. In your documentation, highlight how narrative framework considerations are reflected in the design and layout. Clearly explain each key story point, while walking your audience through the narrative framework. Ensure your storyboard follows this structure:
- Introduction + Hook
- Rising Action
- Climax
- Falling Action
- Recommendations
- Call for Action
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Additionally, explain your choice of visual representations used in the storyboard. Justify the selection of appropriate charts, interactive graphics, visual cues, and technical elements that support your findings and enhance the clarity of your narrative.
NOTE: If you are using Gen AI, you can refer to the content for the prompts in POLITEMall. Please refer to page 7 of what NOT to do with ChatGPT.
Background
The County Health Rankings dataset reveals significant disparities in health outcomes across U.S. counties. Some regions have seen remarkable improvements in health outcomes, while others continue to struggle with high rates of chronic diseases, limited access to healthcare, and poor environmental conditions. These disparities have been exacerbated by factors such as socioeconomic conditions, access to clinical care, and health behaviors like smoking, obesity, and physical inactivity.
Despite recent improvements in health outcomes in certain counties, the data clearly shows that many regions still face challenges in areas like chronic disease rates, uninsured populations, and mental health issues. The goal of this analysis is to uncover patterns and identify areas where proactive health interventions can have the most significant impact.
As a data analyst, your task is to create a compelling data-driven story that highlights the progress made in health outcomes across various counties, while also identifying the key areas where further improvements are still needed. By analyzing the County Health Rankings dataset, youâll uncover correlations between factors such as socioeconomic status, access to healthcare, and health behaviors to pinpoint the regions where targeted interventions could be most effective.
Present your findings to local health departments, policymakers, and community leaders, urging them to implement targeted health interventions in areas identified as high-risk. Use your analysis to recommend evidence-based policies aimed at improving healthcare access, promoting healthy behaviors, and addressing social determinants of health. Encourage them to adopt data-driven solutions to help improve the health rankings of the most affected counties, making measurable progress toward reducing health disparities.
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Dataset
The dataset contains more than 80 measures that help communities understand more about health and opportunities in their communities, how healthy their residents are today (Population Health and Well-being) and what factors are impacting future health (Community Conditions)
| File Name | File Format | Description |
|---|---|---|
| 2025 County Health Rankings Data | EXCEL | Contain 3 data tables â Select Measure Data, Additional Measure Data, Health Group |
Data Dictionaries â Introduction, Select Measure Sources & Years and Addtl Measure Sources & Years
Please refer to the âIntroductionâ sheet in the excel for more information.
Adapted from: Country Health Rankings. Retrieved from https://www.countyhealthrankings.org/health-data/methodology-and-sources/data-documentation
Guidelines on late submissions
Kindly note the following penalties apply for late submissions:
- late and < 1 day : 10% deduction from absolute mark given for the assignment
e.g. 75 marks (100 marks max) becomes 65 marks (deduct 10% of 100 marks) - late >=1 and <2 days : 20% deduction from absolute mark.
- late >=2 days : No marks awarded.
Frequently asked questions
1. What is the minimum number of story points to be used in Tableau storyboard?
Include at least five âStory Pointsâ (and no more than 10) that tell a data story in sequence. Multiple Story Points can use the same chart if you want to focus on different elements of your data (i.e., highlight different lines on a line chart, showing progression over time).
2. Do I need to clean the whole dataset?
You only need to clean the data that you need for the visualization/storyboard.
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The post Tableau Data Storytelling Assignment 2: County Health Rankings Analysis & Action Plan appeared first on My Assignment Help SG.