This project is my first hand-on approach to programming my own data visualization. By using the dataset found on Kaggle, I created a model that allows users to see the Top 100 Best Albums that the Rolling Stones' Magazine rated. The user is able to filter by genre, as well as hover over the individual data-points for more information on the rankings.
The ideation involved creating a design that had a balance of being usable, understandable, and is realistic for me to code. This involved a lot of Khan Academy videos and the help of my math teacher Dad.
After having a basic layout for the code, I explored various shapes and forms to visualize the specified variables. Once choosing a design, I worked with different data-points to determine which size data-point was big enough for a user to hover over it.
This concept answers a few questions: (a) who the top-rated albums are, (b) what is the most popular genres for the albums, and (c) the artists that created these albums. The data visualization artwork is illustrated through its own musical album. The program's use of filtering and hovering gives a more in-depth look than what a printed piece would be able to do.