Top 50 Spotify Tracks of 2021 Dataset
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This dataset features the top 50 most listened-to songs globally on Spotify for the year 2021. It offers insight into the characteristics and popularity of these leading tracks. The dataset includes 14 distinct audio features and additional descriptive variables about each song, providing a rich resource for music analysis.
Columns
- id: The position of the song within the top 50 list.
- artist_name: The name of the artist who performed the track.
- track_name: The title of the song.
- track_id: The unique identifier for the track on Spotify.
- popularity: A metric indicating the song's popularity, with higher values denoting greater popularity.
- danceability: A measure of how suitable a track is for dancing, based on musical elements like tempo, rhythm stability, beat strength, and overall regularity. Higher values suggest easier danceability.
- energy: Represents the intensity and activity of a song. Higher values indicate more energetic tracks, often associated with fast, loud, and noisy qualities.
- key: The musical key the track is in, represented by integers where 0 = C, 1 = C♯/D♭, 2 = D, and so on. A value of -1 indicates no key was detected.
- loudness (dB): The overall loudness of a track in decibels (dB). Higher values mean a louder song.
- mode: Indicates the modality (major or minor) of the track, with 1 representing major and 0 representing minor.
- speechiness: Detects the presence of spoken words in a track. Higher values suggest more spoken word content.
- acousticness: A confidence measure of whether the track is acoustic. Higher values indicate a more acoustic song.
- instrumentalness: Predicts whether a track contains no vocals. The closer the value is to 1.0, the more instrumental the song is.
- liveness: Detects the presence of an audience in the recording. Higher values indicate a greater probability that the track was recorded live.
- valence: A measure describing the musical positiveness conveyed by a track. Higher values indicate a more positive mood.
- tempo: The overall estimated tempo of a track in beats per minute (BPM).
- duration_ms: The duration of the song in milliseconds.
- time_signature: An estimated time signature, ranging from 3 to 7, corresponding to common time signatures like "3/4" to "7/4".
Distribution
The dataset is available as a CSV file, typically named
spotify_top50_2021.csv
. It contains 50 records (rows) and 18 columns, with a file size of approximately 6.57 kB. All columns are validated, showing no missing or mismatched data, ensuring data quality.Usage
This dataset is ideal for:
- Music trend analysis: Understand what made songs popular in 2021.
- Audio feature correlation: Explore how different audio attributes (e.g., danceability, energy, key, modality) might influence a song's popularity.
- Predictive modelling: Develop models to predict song popularity based on its audio features.
- Data exploration and visualisation: Create visualisations to highlight patterns and insights within the top songs.
It can help answer questions such as:
- Which artists were the most popular on Spotify in 2021?
- How does the danceability of a song correlate with its popularity?
- What are the optimal key and modality settings for a song to achieve widespread popularity?
Coverage
This dataset covers the global scope of Spotify's top 50 songs for the year 2021. It specifically focuses on the most listened-to tracks worldwide during that twelve-month period.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for:
- Data analysts and data scientists interested in music and audio data.
- Music researchers and academics studying popular music trends and audio characteristics.
- Spotify enthusiasts looking to delve deeper into the features of their favourite 2021 tracks.
- Students undertaking projects in data analysis or machine learning with real-world music data.
Dataset Name Suggestions
- Spotify 2021 Global Top 50 Songs
- 2021 Spotify Chart Toppers Audio Features
- Top 50 Spotify Tracks of 2021 Dataset
- Popular Music Metrics 2021 (Spotify)
Attributes
Original Data Source: Top 50 Spotify Tracks of 2021 Dataset