2021 TikTok Music Trends Data

Columns

• track_name: The title of the musical track.
• artist_name: The name of the artist performing the track.
• artist_pop: A numerical indicator of the artist's popularity.
• album: The name of the album to which the track belongs.
• track_pop: A numerical indicator of the track's popularity.
• danceability: Measures how suitable a track is for dancing, from 0.0 (least danceable) to 1.0 (most danceable), based on tempo, rhythm stability, beat strength, and regularity.
• energy: Represents the perceptual intensity and activity of a track, ranging from 0.0 to 1.0. Higher values suggest a fast, loud, and noisy feel.
• loudness: The overall loudness of the track in decibels (dB), averaged across the entire piece, typically ranging from -60 to 0 dB.
• mode: Indicates the modality (major or minor) of the track's melodic content, with 1 for major and 0 for minor.
• key: The key of the track, mapped to standard Pitch Class notation (e.g., 0 = C, 1 = C♯/D♭). A value of -1 means no key was detected.
• speechiness: Detects the presence of spoken words. Values above 0.66 likely indicate entirely spoken word tracks, 0.33 to 0.66 suggest mixed speech and music, and below 0.33 primarily represent music.
• acousticness: A confidence measure from 0.0 to 1.0 indicating how acoustic the track is; 1.0 signifies high confidence in its acoustic nature.
• instrumentalness: Predicts whether a track contains no vocals. Values above 0.5 suggest instrumental tracks, with higher confidence closer to 1.0.
• liveness: Detects the presence of an audience. A value above 0.8 strongly suggests a live performance.
• valence: Measures the musical positiveness conveyed by a track, from 0.0 (negative, e.g., sad) to 1.0 (positive, e.g., happy).
• tempo: The estimated speed of the track in beats per minute (BPM).
• time_signature: An estimated time signature, ranging from 3 to 7, indicating time signatures like "3/4" to "7/4".
• duration_ms: The length of the track in milliseconds.

Distribution

Usage

• Analysing music trends and popularity on social media platforms.
• Developing recommendation systems for music.
• Studying the audio features that contribute to a song's virality.
• Musicology research and social media content strategy.
• Identifying patterns in artist and track popularity.

Coverage

License

Who Can Use It

• Music Researchers: For academic studies on music trends, audio characteristics, and social media impact.
• Data Scientists: To build predictive models for song popularity or recommendation engines.
• Content Creators & Marketers: To understand what type of music resonates on TikTok for strategy development.
• Social Media Analysts: To monitor and analyse musical patterns on leading social platforms.
• Developers: For integrating music trend data into applications.

Dataset Name Suggestions

• TikTok 2021 Popular Tracks
• 2021 TikTok Music Trends Data
• Viral TikTok Songs Analysis (2021)
• TikTok Audio Features 2021
• Top TikTok Hits Dataset 2021

Attributes