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Cornell University Admission Statistics cover art

Ferenc Will

Cornell University Admission Statistics

SAT Vocabulary for Cornell University Ithaca, NY
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Home >> Ferenc Will >> Cornell University Admission Statistics

Tempo(?)
Tempo of the track in beats per minute. If the track has multiple BPM's this won't be reflected as only one BPM figure will show.
109 BPM
Key(?)
Key of the track. Useful if you are trying to find songs this will work well with for DJing, singing a cover or trying to find the notes which make up the song.
D min
Loudness(?)
Average loudness of the track in decibels (dB). Values typically are between -60 and 0 decibels. Tracks are rarely above -4 db and usually are around -4 to -9 db.
-17.73db
Time signature(?)
How many beats there are per measure/bar.
4/4

Popularity
A measure on how popular the track is on Spotify. This metric is calculated mostly on how many plays have been recently, so a very popular song from the past will have a lower popularity score than a recent track with many plays. If you click on the 23% underlined to the right, it will take you to Musicstax Metrics which tracks popularity over time.
23%
Energy
A measure on how intense a track sounds, through measuring the dynamic range, loudness, timbre, onset rate and general entropy. 0% indicates low energy, 100% indicates high energy.
18%
Danceability
A measure on how suitable a track could be for dancing to, through measuring tempo, rhythm, stability, beat strength and overall regularity. Tracks near 0% are least danceable, whereas tracks near 100% are more suited for dancing to.
83%
Positiveness
A measure how positive, happy or cheerful track is. Values near 0% suggest a sad or angry track, where values near 100% suggest a happy and cheerful track.
76%
Speechiness
A measure on the presence of spoken words. Values below 33% suggest it is just music, values between 33% and 66% suggest both music and speech (such as rap), values above 66% suggest there is only spoken word (such as a podcast).
95%
Liveness
A measure on how likely it is the track has been recorded in front of a live audience instead of in a studio. This is measured by detecting the presence of an audience in the track. Values over 80% suggest that the track was most definitely performed in front of a live audience.
19%
Acousticness
A measure on how likely the track is acoustic. The higher the number, the more likely it is there is no electronic instruments and that the instruments in the track are created through acoustic instruments.
89%
Instrumentalness
A measure on how likely the track does not contain any vocals. Values over 50% indicate an instrumental track, values near 0% indicate there are lyrics.
0%




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Discover more songs by Ferenc Will
Cornell University Admission Statistics is a song by Ferenc Will, released on 2020-10-03. It is track number 1 in the album SAT Vocabulary for Cornell University Ithaca, NY. Cornell University Admission Statistics has a BPM/tempo of 109 beats per minute, is in the key of D min and has a duration of 32 seconds, 345 milliseconds.

Cornell University Admission Statistics is fairly popular on Spotify. It is beginning to gain traction, being rated between 10-30% popularity on Spotify. It is likely that the track is on the verge of getting onto Spotify owned playlists, is fairly energetic and is extremely easy to dance to.

Cornell University Admission Statistics info

Name
Cornell University Admission Statistics
Artist(s)
Ferenc Will
Album
SAT Vocabulary for Cornell University Ithaca, NY
Release Date
3rd October 2020
ISRC
usl4r2091794
Key
D min
Tempo
109
Loudness (db)
-17.73db
Time signature
4/4
Length
00:32
Song Number
1 of 50
Explicit
No