Review of the project

[WildPigen]

This is the peer review below:

• The study presents a thorough examination of the enduring popularity of Rolling Stone Artists in comparison to Spotify Top Artists, featuring a well-structured framework, precise methodology, and meticulous formatting. It adeptly identifies the characteristics contributing to enduring popularity and wisely employs track data as an index for assessing popularity. However, certain refinements could be taken. To improve clarity, Figure 1 could highlight the top 10 artists in Rolling Stone, or include a fitted line for the mid-popularity, facilitating a straightforward comparison with Spotify's top artists and aiding trend identification. Additionally, lucidating how to get the "75" cut-off would make the study more informative. Lastly, the conlcusion asserting a closer distribution of features in Spotify and Popular RS tracks lacks a detailed interpretation, appearing somewhat arbitrarily composed.

• The code is concise and well-indented structured. The inclusion of web scraping, API usage, data transformation, graphing, and looping showcases a comprehensive application of learned techniques. The code maintains a clear and logical workflow, featuring robust data cleaning processes for better understanding. However, incorporating comments on key assumptions and decisions during loops would enhance understanding. Sections like data scraping, data processing, and analysis can be encapsulated in functions for better organization. Considering only 100 observations for Spotify and 817 for Unpopular, it would benefit if include more observations of top tracks in Spotify for past 10 years. Also, addresing outliers in the boxplot would contribute to better comparison.

[buggykid]

Hey WildPigen, Appreciate the constructive feedback. =)