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Global Pop Music Charts Dataset
Entertainment & Media Consumption
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Free
About
This dataset is a collection of 10,000 of the most popular songs that have dominated the music scene from the 1950s to the present day. Curated based on rankings from both the ARIA (Australian Recording Industry Association) and Billboard charts, it ensures a diverse representation of songs that have achieved immense commercial success and cultural significance. The dataset encompasses various music genres and showcases the evolution of musical trends over the years, providing valuable insights into the ever-changing landscape of popular music. It includes tracks from iconic artists and bands, representing a mix of timeless classics and contemporary hits that have left a lasting impact on music lovers worldwide.
Columns
- Track URI: Unique identifier for each track. There are 9952 unique values.
- Track Name: The title of the song. There are 8288 unique values.
- Artist URI(s): Unique identifier(s) for the artist(s) of the track. There are 4164 unique values.
- Artist Name(s): The name(s) of the artist(s) who performed the track. There are 4156 unique values.
- Album URI: Unique identifier for the album the track belongs to. There are 7474 unique values.
- Album Name: The title of the album. Common examples include "Greatest Hits" and "The Definitive Collection".
- Album Artist URI(s): Unique identifier(s) for the artist(s) of the album. Examples include "spotify:artist:0LyfQWJT6nXafLPZqxe9Of" and "spotify:artist:06HL4z0CvFAxyc27GXpf02".
- Album Artist Name(s): The name(s) of the artist(s) who released the album. Examples include "Various Artists" and "Taylor Swift".
- Album Release Date: The date the album was released. Common dates include "2011-01-01" and "2009-01-01".
- Album Image URL: A URL pointing to the album cover image. There are 7472 unique values.
Distribution
This dataset contains 10,000 records, each representing a popular song [3]. The data files are typically provided in CSV format [1].
Usage
This dataset is ideal for researchers, music enthusiasts, and data analysts [3]. It can be used for a wide range of applications, such as:
- Analysing trends in music popularity [3].
- Studying the influence of specific artists or albums [3].
- Exploring genre shifts over time [3].
- Building recommendation systems based on historical music preferences [3].
Coverage
The dataset covers songs from the 1950s to the present day [3]. It was updated as of 14th October 2024 [3]. The geographic region covered by the data is global [4].
License
CCO
Who Can Use It
- Researchers: For academic studies on music trends, cultural impact, and historical analysis [3].
- Music Enthusiasts: To explore the evolution of popular music, discover timeless classics, and understand genre shifts [3].
- Data Analysts: For building predictive models, recommendation engines, and visualising music industry insights [3].
Dataset Name Suggestions
- Top 10000 Spotify Songs (1950-Present)
- Global Pop Music Charts Dataset
- Historical Popular Music Collection
- Spotify Chart-Toppers Analyser
Attributes
Original Data Source: Top 10000 Songs on Spotify 1950-Now
QUALITY