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70 Years of Rock Music Features
Data Science and Analytics
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About
Documents the evolution of Rock music over seven decades, spanning 1950 to 2020. This collection features 5484 individual rock songs, each enriched with detailed Spotify audio characteristics. The data serves as a resource for analyzing how fundamental musical properties change over time, offering quantitative insights into the history and development of the genre.
Columns
The dataset includes 18 columns detailing various aspects of the songs and their audio features:
- index: An identifier for the entry.
- name: The title of the song.
- artist: The performer of the track.
- release_date: The year the song was released, covering a range from 1956 to 2020.
- length: The duration of the song, measured in minutes.
- popularity: A score between 0 and 100, reflecting the track's popularity, where 100 is the highest.
- danceability: A measure from 0.0 (least danceable) to 1.0 (most danceable), based on rhythm stability, tempo, and beat strength.
- acousticness: A confidence score (0.0 to 1.0) indicating whether the track is acoustic.
- energy: A metric (0.0 to 1.0) representing intensity and activity; highly energetic tracks are often fast, loud, and noisy.
- instrumentalness: Measures the likelihood of a track having no vocals; values above 0.5 suggest an instrumental piece.
- key: The estimated overall musical key of the track.
- liveness: Detects the presence of an audience; values exceeding 0.8 strongly suggest a live performance recording.
- loudness: The overall volume of the track in decibels (dB).
- speechiness: Detects spoken words; values below 0.33 typically represent music, while those higher may indicate mixed music and speech (like rap) or entirely spoken content.
- tempo: The estimated speed of the track in beats per minute (BPM).
- time_signature: The estimated overall time signature of the track.
- valence: A measure (0.0 to 1.0) of musical positiveness; high valence tracks sound positive (e.g., happy), and low valence tracks sound negative (e.g., sad).
Distribution
The data is suitable for platform listing and usually distributed in CSV format. The file, approximately 693.29 kB in size, consists of 5484 records (rows). All 5484 entries are valid across the 18 columns, with zero missing or mismatched values.
Usage
This data is ideal for:
- Historical analysis of musical trends, allowing users to track how elements like tempo and loudness evolved across decades of rock music.
- Developing predictive models for track popularity using audio features.
- Studying the characteristics of rock music from its inception in the 1950s up to the contemporary era.
- Exploration of correlations between subjective musical feelings (valence, energy) and objective audio metrics.
Coverage
The dataset focuses entirely on Rock music, covering the period from 1950 to 2020, with specific song release dates ranging from 1956 to the latest year of coverage. The scope is defined by the Spotify audio features associated with this genre across this time frame.
License
CC0: Public Domain
Who Can Use It
- Music technologists and data analysts interested in machine learning applications related to audio feature extraction and classification.
- Academic researchers studying cultural shifts reflected in popular music characteristics.
- Hobbyists or beginners seeking a high-quality, clean, time-series music data source.
Dataset Name Suggestions
- 70 Years of Rock Music Features
- Spotify Audio Features: Rock History (1950–2020)
- The Evolution of Rock Attributes
Attributes
Original Data Source: 70 Years of Rock Music Features
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