Assignment 2

02_activities/assignments/assignment_2.md

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     - Explain (with reference to material covered up to date, along with readings and other scholarly sources, as needed) why you classified that visualization the way you did.
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       Your answer...
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+     - good visualization: https://public.tableau.com/app/profile/un.sdg.action.campaign/viz/MyWorld2030survey_Q2bydemographicgroup/MyWorld2030survey_Q2bydemographicgroups (Sustainable Development Goals across the World via Demographics)
+        - At first I was going to say that this visualization was bad, because it looks visually overwhelming at first look (aesthetic quality), there are a lot of colours and connecting lines that overlap each other. However these colours are coded in a legend at the top via develepmental goal. 
+        - This visualization is also interactive which changes the shape and visual depending on the settings you choose. You can look at each specific development goal (i.e. lessening poverty, water sanitation, and gender equality) and it singles out and shows those units only, you can further break this down via development level (low to high), continent and even specific countries. This makes the information more visually digestable and shows the level of complexity and accuracy that the data can demonstrate (substantive quality)
+        - Perceptual quality: 
+            - The purpose of this data is to show the sustainable development goals around the world broken down by responses from different dempgraphic groups (gender, age, disability and level of education)
+            - The intended audience is the UN to make decisions on the different goals and needs of the countries 
+            - the intended audience are the population of the countries
+            - The medium used is online platform since it is interactive, which makes it accessible anywhere, one caveat is rural areas with limited access to wifi or technology. 
+        - Addressing cognitive load spoken about in class, having all these potential setting changes makes it easy to navigate and look at the visual in different ways reduce memory load, making the visual more receptive to meaning-making. 
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+     - bad visualization: https://public.tableau.com/app/profile/bo.mccready8742/viz/SportsSeasonality/SportsSeasonality (A visualization of major american men's sports schedules in 2024)
+        - I thought it was a bad visualization because the data points were not clearly labeled and overlap each other, with the addition of different sizes representing higher summed amounts. It is a lot cognitively to remember. In class, we talked about working memory and the design of this visual definitely takes up my working memory that I found it difficult to learn the new data it was demonstrating (rare chart type vs. familiar)
+        - The legend was also not clear, particularly for the hockey subtype, since it was the same colour text as the instruction text. An important factor to visualization is having a reliably usable legend, with text that is thick enough/large enough or coloured accordingly.
+            - Bessler, L. (2013). Data Visualization Tips and Techniques for Effective Communication. In Proceedings of the Pharmaceutical SAS Users Group 2013 Conference.
+        - Also the layout is not clean, the months are separated but not even by season and does not indicate when the sports seasons of each sport subtype typically play. This goes against the layout adherence of the perceived factual basis convention of data visualization.
 
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     - How could this data visualization have been improved?  
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       Your answer...
+    - good visualization: https://public.tableau.com/app/profile/un.sdg.action.campaign/viz/MyWorld2030survey_Q2bydemographicgroup/MyWorld2030survey_Q2bydemographicgroups (Sustainable Development Goals across the World via Demographics)
+        - This visual could be improved by potentially making the demographics also a drop-down menu so that not all are shown at once at the beginning (reducing cognitive load - concise composition) 
+        - Also having very distinct colours, because some colours are similar it can be confusing to differentiate the development goals when looking at them all at once. Distinction is important to understand similarities and differences between variables, potentially a gradient might be better to clump similar development goals in similar colours, rather than randomly.  
+            - J. J. van Wijk, "The value of visualization," VIS 05. IEEE Visualization, 2005., Minneapolis, MN, USA, 2005, pp. 79-86, doi: 10.1109/VISUAL.2005.1532781.
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+    - bad visualization: https://public.tableau.com/app/profile/bo.mccready8742/viz/SportsSeasonality/SportsSeasonality (A visualization of major american men's sports schedules in 2024)
+        - This visual could be improved by using a simple bar or line chart like the right side of the visual limiting the clutter and confusion from the left side (having that clear layout I spoke about earlier)
+        - Having a clear legend not within the instructions would be good as mentioned above. 
+        - Also instead of having it more exploratory - making it more explanatory to reduce cognitive load, no need to make it interactive to clear through each game each month. 
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 - Word count should not exceed (as a maximum) 500 words for each visualization (i.e. 
 300 words for your good example and 500 for your bad example)