For each track in the playlist, we look at the energy metric given by Spotify and defined as follows: Energy is a measure from 0.0 to 1.0 and represents a perceptual measure of intensity and activity. Typically, energetic tracks feel fast, loud, and noisy. For example, death metal has high energy, while a Bach prelude scores low on the scale. Perceptual features contributing to this attribute include dynamic range, perceived loudness, timbre, onset rate, and general entropy.
This graphs shows the distribution of the energy of all the songs in the playlist.

For each track in the playlist, we look at the speechiness metric given by Spotify and defined as follows: Speechiness detects the presence of spoken words in a track. The more exclusively speech-like the recording (e.g. talk show, audio book, poetry), the closer to 1.0 the attribute value. Values above 0.66 describe tracks that are probably made entirely of spoken words. Values between 0.33 and 0.66 describe tracks that may contain both music and speech, either in sections or layered, including such cases as rap music. Values below 0.33 most likely represent music and other non-speech-like tracks.
This graphs shows the distribution of the speechiness of all the songs in the playlist.

For each track in the playlist, we look at the instrumentalness metric given by Spotify and defined as follows: Predicts whether a track contains no vocals. “Ooh” and “aah” sounds are treated as instrumental in this context. Rap or spoken word tracks are clearly “vocal”. The closer the instrumentalness value is to 1.0, the greater likelihood the track contains no vocal content. Values above 0.5 are intended to represent instrumental tracks, but confidence is higher as the value approaches 1.0.
This graphs shows the distribution of the instrumentalness of all the songs in the playlist.

For each track in the playlist, we look at the liveness metric given by Spotify and defined as follows: Detects the presence of an audience in the recording. Higher liveness values represent an increased probability that the track was performed live. A value above 0.8 provides strong likelihood that the track is live.
This graphs shows the distribution of the liveness of all the songs in the playlist.

For each track in the playlist, we look at the acousticness metric given by Spotify and defined as follows: A confidence measure from 0.0 to 1.0 of whether the track is acoustic. 1.0 represents high confidence the track is acoustic.
This graphs shows the distribution of the acousticness of all the songs in the playlist.

For each track in the playlist, we look at the valence metric given by Spotify and defined as follows: A measure from 0.0 to 1.0 describing the musical positiveness conveyed by a track. Tracks with high valence sound more positive (e.g. happy, cheerful, euphoric), while tracks with low valence sound more negative (e.g. sad, depressed, angry).
This graphs shows the distribution of the valence of all the songs in the playlist.

For each track in the playlist, we look at the tempo metric given by Spotify and defined as follows: The overall estimated tempo of a track in beats per minute (BPM). In musical terminology, tempo is the speed or pace of a given piece and derives directly from the average beat duration.
This graphs shows the distribution of the tempo of all the songs in the playlist.