This visualization is meant for people who like to research the evolution of trends of the songs chosen by critiques to be in the Billboard Top 100 songs. This in-depth data visualization will allow users to answer questions specific to correlation of being in the Billboard top 100 and various analytical filters such as Sentiment, different scales such as Flescher-Kincaid grade.
For example, as shown below, someone can look at just all the "Pop" and "Rock" songs that have been in the Billboard Top 100 and compare it with the "Fog Index" values of those songs and consider how many songs of rock and pop made it into the Billboard 100.
The user can choose to correlate whether if "Rock" and "Pop" have similar "Fog Index" values, or if based on a specific "Fog Index" value, certain number of "Pop" and "Rock" song would feature on the Billboard.
This is just one such example of how the user can use this visualization and just to reiterate there are 9 different analytical filters such as "Fog Index" along with the 15 genres that the user can select and display specific data to find certain patterns and correlation which indicates that this is a rather in-depth visualization providing a lot of niche information to answer niche questions.