The purpose of this data is to visualize how lyrics and associated data of popular songs have evolved since 1950. The data itself is CSV files from 1950 to 2015 of all the top 100 Billboard songs as shown below.
Link to the Visualization: https://kevinschaich.io/billboard/
As seen below, we can see a line graph that aggregates based on the different genres of song and based on different filters (as seen below). The different filters that the graph can filter based on are # of lines, sentiment of the songs, Flesch-Kincaid Grade, # of Syllables, # of Difficult Words, Fog Index, # Duplicate Lines, Flesch Index, and # Words. For each of these different analytical filters the y-axis is adaptive to fit all the data.
2. The below chart shows us a dotted scatter plot which focuses on the all the songs that were on the Billboard 100 and it was categorized by the year. The user can put their cursor on any of the dots below and it would tell you the singer and the name of the song. The y-axis of the graph shows us the rank of the songs from rank 1 - 100 and the x-axis shows us the years from
They have a slider to pick what range of years they would like to see. Be default, the chart displays all data from the range of 1950 - 2015.
They have multiple buttons each representing different genres of music and the user can either select multiple genres by clicking on them or he could select "All-Genres" which is the default option selected for the user.