I love this topic! I think that time could have been better spent not going through the data collection so in-depth. I think it would have been better to just make a PowerPoint presentation that was clear and with visualizations. I also think that they could have been way more clear and concise and not have so much missing information
I liked how you guys showed the actual code and your question is super engaging
I thought the proposal was very interesting, and that there were findings that were not at all in line with my initial intuition or expectations.
It wasn't really a presentation - just looking at their code and going through their processes. Felt a bit difficult to follow.
They used a lot of interesting code. I saw some code that we haven't learned in class. Very cool.
Presentation doesn't seem rehearsed but they still demonstrated a deep knowledge of their data analysis so far
I liked that they talked about data analysis that they don't plan on using in the final project. Just because a data analysis isn't relevant for answering the main question doesn't mean it isn't interesting in general.
Presentation was too long. Could have summarized their key findings more
This is a really fun idea! This might be in your readme but I think it would be interesting to hear the reasoning behind why you chose this topic and what your hypothesis was for what the data would look like.
I enjoyed all the different filters you attempted to use in your analysis of the data
I wonder if the artists who release the music play a larger role in popularity than other features of the song
Really interesting questions and clear analysis. Thoughtful comparison between Billboard and Spotify.
Some of the lapses in data makes it hard to understand answers to the research question. Also, I would have appreciated a more engaging presentation; it was hard to read the markdown and graphs. But the topic is interesting and I'm excited to see the next steps.
Your analysis is very clear, and I like how you recognize that your analysis is contradicting your hypothesis and you don't try to "hide" the results. It may be interesting to do analysis on different Billboard and Spotify charts. Right now, you are only looking at the top x songs, but it may be interesting to look at the top x pop songs or the top x rap songs, or even more niche genres like mumble rap or k-pop. I do love how you started to look at which songs are different between Spotify and Billboard, and you have already gotten some interesting results from this.
Well done with very strong detail presentation. Clearly analyzed many different factors and understand the nuances of the dataset.
Line graphs don't make sense for the data.
2018 and 2019 were skipped, but I feel like other datasets should have been used/the question should have changes. Kinda odd to skip years.
Comparison b/t Billboard and Spotify mean song length graph was not necessary since they were the exact same length... graph was probably not necessary.
A little curious as to why this group skipped 2018 and 2019. I think it might be interesting to see the change over time as opposed to just the stark difference. I may have missed this because at times the audio was cutting out but how exactly is danceability being decided? It just seems a little funky. There line graphs also seem a little out of place and that maybe a stacked bar chart could work better.
I'm confused why the metrics they looked into (such as tempo) weren't showing the trends they anticipated. I thought the stacked scatter plot was difficult to read and analyze. I was struggling to understand the differences they found within their billboard dataset.
interesting question and creatively explored
Were you only accessing public playlist URLs on Spotify? Do you feel that accurately represents America's true passion for various flavors of music? I enjoyed some of the takeaways - especially the one about explicit songs being more danceable - but I feel that some of the graphs were haphazard. The Mean Song Length chart seemed very unnecessary
I love the concept for this project and I am very interested in patterns in popular music. I wanted to ask if you suspect there to be a trend of popularity of explicit music increasing over time, especially over a wider range. Is it possible to see peaks and valleys, especially considering the popularity of explicit rap and grunge in the 90s that gave way to 2000s pop and rnb?