World's Spotify TOP-50 playlist musicality data

Description

Songs melodic and meta data of every Top-50 playlist of Spotify.
Every week, Spotify updates its Top-50 playlists for each country. This dataset includes every country list of the 45th week of 2023 (6th November - 12th November). There are 73 available countries. The dataset has a column for every musical aspect of each song, and also the name, country, artist and publication date of the track. *Data extracted from the Spotify Official API.* # Columns These features are created by Spotify to analyze tracks. Here I copy the definition of each column, based on Spotify's API documentation. **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. **Acousticness:** A confidence measure from 0.0 to 1.0 of whether the track is acoustic. 1.0 represents high confidence the track is acoustic. **Duration_ms:** The duration of the track in milliseconds. **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. **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. **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. If no key was detected, the value is -1. **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. **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. **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. **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. **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. **Time_signature:** An estimated time signature. The time signature (meter) is a notational convention to specify how many beats are in each bar (or measure). The time signature ranges from 3 to 7 indicating time signatures of 3/4, to 7/4. **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).

Best Spotify Data Analysis Project You Should Check

Top 50 Spotify 2021 - Spotify New Songs 2021 Playlist - Spotify Global Top 50

Predicting Music Popularity Using Spotify and Features

Best Spotify Data Analysis Project You Should Check

Music Streaming Statistics in 2024 (US & Global Data) - Musical Pursuits

MusicVis Tool Interface: Data from Top 50 Spotify Global on August 26th

10 Best Websites To Analyze Your Spotify Data - GeeksforGeeks

Best Spotify Data Analysis Project You Should Check

Our top Spotify Wrapped alternatives

Cultural Divergence in popular music: the increasing diversity of music consumption on Spotify across countries

Data Analysis of the 'Spotify' dataset using the Pandas library

Data Analysis of the 'Spotify' dataset using the Pandas library

$ 8.50USD
Score 4.6(555)
In stock
Continue to book