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Instructions： Choose a case study from the readings or data visualization sources and sites and deconstruct it. The project can be in any domain including visualization artwork. Apply data visualization best practices from the readings provided or web resources in your analysis. Provide a critique of the case study or example. Develop your version of how you would approach a similar problem, with the same or similar, or different data sources. Provides a discussion and uses references from the bibliography or other research materials, with visualization design sketches.
Web：https://www.theguardian.com/news/datablog/2023/feb/17/revealed-the-areas-where-australians-are-struggling-to-access-free-gp-care
Questions： What are the data sources? Make sure you discuss this. Where did the data come from? How did they find it? Are there gaps or issues with it? What were data extraction methods used? Find out as much as you can about how the collected the data, what tools were used – this is the tricky one! How was the data presented? Did the presentation make sense given the data sources? Provide an analysis and critique of the data used What do you think of the visualization case study or example? What would you improve? What is the data visualization addressing? What is the data set (s)? What tools (software, etc.) were used to create the visualization? What is the visualization approach – is it exploratory, or explanatory? What are some of the graph strategies? Is it narrative? etc.
it’s a Data Analysis form the goal is to discuss the article on the website with upper questions. How they collect data, what are the data sources and so, On the other hand, you need to provide a solution of how to improve it, with visualization design sketches.
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