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Hot-100 Song Lyrics and Audio Features
Data Science and Analytics
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About
This dataset is designed for music analytics, recommendation systems, and cultural studies [1]. It brings together information from Billboard Hot-100 charts, Genius for song lyrics, and Spotify for audio features [1]. The dataset provides detailed information for popular songs spanning the years 2000 to 2023 [1].
Columns
The main CSV file contains the following columns [2]:
- ranking: The rank of the song for a given year.
- song: The title of the song.
- band_singer: The name of the singer or band performing the song.
- songurl: A URL specific to the song.
- titletext: Additional title text.
- url: A general URL.
- year: The year of the chart.
- lyrics: The lyrics of the song.
- uri: A Uniform Resource Identifier.
- danceability: A Spotify-derived feature indicating how suitable a track is for dancing, based on musical elements like tempo, rhythm stability, beat strength, and overall regularity [2, 3].
Distribution
The dataset is provided as a main CSV file [2]. While specific total row counts are not available, the data covers various distributions. For example, song rankings range from 1 to 100 [2], and years covered are from 2000 to 2023 [4]. Danceability scores range from approximately 0.19 to 0.96 [3]. Unique values are present for song titles, artists, and URLs, with a notable portion of artists falling into an 'Other' category beyond top acts like Drake and Rihanna [4].
Usage
This dataset is ideal for various applications and use cases [5]:
- Music analytics: For understanding trends in popular music [1].
- Recommendation systems: To build models for suggesting songs [1].
- Cultural studies: For research into music and its societal impact [1].
- Data visualisation: To create visual insights from music data [6].
- Exploratory data analysis: For discovering patterns and insights [6].
- Natural Language Processing (NLP): For analysing lyrical content [6].
Coverage
The dataset covers songs from the Billboard Hot-100 charts [1] and has a global region coverage [7]. The time range for the data is from 2000 to 2023 [1, 4].
License
CCO
Who Can Use It
This dataset is suitable for a variety of users [5]:
- Data scientists: For machine learning projects such as building recommender systems or predictive models.
- Data analysts: To perform detailed analysis of music industry trends and song characteristics.
- Researchers: For academic studies in fields like musicology, digital humanities, or social sciences.
- Developers: For creating applications that utilise rich music metadata.
Dataset Name Suggestions
- Billboard Top Hits 2000-2023
- Hot-100 Song Lyrics and Audio Features
- Music Chart Data with Spotify Integration
- Popular Songs 2000-2023 Analysis Dataset
Attributes
Original Data Source: Original Data Source:
QUALITY