Using these visualizations as prompts, reflect on the political implications of such groupings considering what data is missing, assumed, or misinterpreted. For example, while you may be able to justify your musical choices in the Quiz, there also may exist reasons why you did not chose other pieces. Can the reasons for these “null” choices ever be reflected/interpreted in the data?

My first impression in looking through these visualizations was that my name seemed to be generally positioned towards the centre of the web. Having this higher degree of connections could reflect that my choices are more “popular” compared to the other nodes. This may indicate that my opinions are either more valued or mainstream, and other students are able to agree with my decisions more easily. There may be danger in representing the opinions of our class this way, as it may imply that the opinions those in the outskirts of the web do not hold as much importance. Everyone is entitled to their own musical opinions and not choosing the most “popular” songs does not necessarily indicate less importance. Also, even for students who chose the most popular songs, their reasons could be completely different. For example, some students may have chosen a song by Bach for its mathematical excellence and some students may have chosen the same song due to the fact that it falls under the category of classical music. The final decision may not be the most important data in this case and it may be necessary to take a look at a new web created from “reasons why” data. This would be especially significant in looking further into why students did not choose certain songs to be included in their top 10. Different students will again have different reasons for these “null” choices, which could be represented in a similar styled web.