Welcome to my Spotify notebook! I'm Carlos. This project began June 2021.
Download the latest GitHub repository.
$ Donwload datasets from: (https://www.kaggle.com/yamaerenay/spotify-dataset-19212020-160k-tracks)
$ Put .csv files in input folder
$ Run notebookIn this notebook, I explored the Spotify dataset to see what interesting insights and fun facts about popular music events and the historical space of humanity, such as:
- What were the most popular artists?
- What were the most popular artists in the historical periods below?
- What is the popularity of the artists mentioned over the years?
- What are the relationships between energy and valence of the aforementioned artists?
Basis for Exploratory Data Analysis
Feature Definitions
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artists: The list of artists of the song.
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danceability: Danceability describes how suitable a track is for dancing based on a combination of musical elements including tempo, rhythm stability, beat strength, and overall regularity. A value of 0.0 is least danceable and 1.0 is most danceable.
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duration_ms: The duration of the track in milliseconds.
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energy: 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. (Float)
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explicit: The content item is explicit and the user’s account is set to not play explicit content. Additional reasons may be added in the future. Note: If you use this field, make sure that your application safely handles unknown values.
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instrumentalness: 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.
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key: The key the track is in. Integers map to pitches using standard Pitch Class notation . E.g. 0 = C, 1 = C♯/D♭, 2 = D, and so on.
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liveness: 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.
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loudness: The overall loudness of a track in decibels (dB). Loudness values are averaged across the entire track and are useful for comparing relative loudness of tracks. Loudness is the quality of a sound that is the primary psychological correlate of physical strength (amplitude). Values typical range between -60 and 0 db.
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mode: Mode indicates the modality (major or minor) of a track, the type of scale from which its melodic content is derived. Major is represented by 1 and minor is 0.
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name: Name of the song.
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popularity: The popularity of the track. The value will be between 0 and 100, with 100 being the most popular. The popularity of a track is a value between 0 and 100, with 100 being the most popular. The popularity is calculated by algorithm and is based, in the most part, on the total number of plays the track has had and how recent those plays are. Generally speaking, songs that are being played a lot now will have a higher popularity than songs that were played a lot in the past. Duplicate tracks (e.g. the same track from a single and an album) are rated independently. Artist and album popularity is derived mathematically from track popularity. Note that the popularity value may lag actual popularity by a few days: the value is not updated in real time.
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release_date: The date the album was first released, for example “1981-12-15”. Depending on the precision, it might be shown as “1981” or “1981-12”.
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speechiness: 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.
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tempo: 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.
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valence: 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).
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year: Year information extracted from release_date.
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genres: A list of the genres used to classify the album. For example: “Prog Rock” , “Post-Grunge”. (If not yet classified, the array is empty.)
source: https://developer.spotify.com/documentation/web-api/reference/#endpoint-get-audio-features
