Opinion: Change the analysis of your scoring. You'll have a better idea of which tracks are really liked, disliked, and at what rate. I'm presuming your using a Likert scale with a center midpoint. The farther you go away from mid-point is a strengthing of opinion, but inclusive of the item closer to the midpoint. Example: If a track is your most favorite, it is also a favorite and if a track is your least favorite, it is also not a favorite. This means that Least favorite= 1, Most favorite= 5. Then tabulate a 4 column Least Favorite, Not Favorite, Favorite, Most Favorite analysis. You'll encompass 1, 2, 4, and 5. You'd then show if it's a polarizing track, beloved, or undecided.
Here's why this makes sense: If you have 100 votes for Spa and 90 people vote it a 5 as most favorite and 10 vote it a 1 as least favorite, you have a 4.6. If you have 100 votes for La Sarthe and 60 people that vote it as a 5 and 40 vote it as a 4, you also have a 4.6.
In this scenario, you'd think they're both loved equally, but not really. More people really like Spa more than La Sarthe. But... more people hate Spa more than La Sarthe. For this reason, this measure works better for this example:
Spa:
Most Favorite: 90%
Favorite: 90%
Not Favorite: 10%
Least Favorite: 10%
La Sarthe:
Most Favorite: 60%
Favorite: 100%
Not Favorite: 0%
Least Favorite: 0%
If you want to do this and not sure how, let me know. I can turn your raw data into this, which is much more meaningful, if this is a serious survey.
