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Global Music Identification Insights
Data Science and Analytics
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About
the top 200 global song Shazams each week for Fall 2023. It offers insight into worldwide music identification trends, reflecting popular culture and song virality. The data is generated from the Shazam application, a tool for identifying music and other media, now owned by Apple Inc. It is a valuable resource for observing how song popularity evolves over a period.
Columns
- Rank: Indicates the song's position within the top 200 global Shazams for that specific week. Values range from 1 to 200.
- Artist: Refers to the musical artist or group performing the song. This column helps identify which artists are trending globally.
- Title: Provides the name of the song. This allows for direct identification of the music being shazamed.
Distribution
The dataset is provided in a tabular format, typically a CSV file. Each weekly update contains 200 records, corresponding to the top 200 songs. An example file, "Week1 - 22-Jul-to-28-Jul-2023.csv", has a size of 7.32 kB. The dataset is structured with three columns: Rank, Artist, and Title, and new data is expected to be updated weekly for a minimum of 20 weeks.
Usage
This data is ideal for analysing music trends, tracking the sustained popularity of certain songs over several weeks, and observing shifts in global music preferences. It can be effectively combined with other global chart ranking data from platforms such as Billboard, Spotify, or Apple Music for richer analysis. It also supports exploratory data analysis and data storytelling projects related to popular culture.
Coverage
The dataset has a global geographic scope, focusing on songs popular worldwide as identified by the Shazam application. The time range spans Fall 2023, with weekly updates beginning from 22nd July to 28th July 2023, and continuing for at least 20 weeks. There are no specific demographic notes, as the data reflects general global song identification activity.
License
CC0: Public Domain
Who Can Use It
- Music Industry Analysts: To monitor global music trends and identify emerging popular songs and artists.
- Researchers in Popular Culture: For studies on music consumption, viral content, and cultural phenomena.
- Data Scientists and Analysts: For conducting exploratory data analysis, building predictive models, or crafting data-driven narratives about music popularity.
- Marketing Professionals: To inform music-related marketing strategies and identify trending tracks.
- Developers: To integrate real-time popularity insights into music recommendation systems or entertainment applications.
Dataset Name Suggestions
- Shazam Global Music Trends (Fall 2023)
- Weekly Top 200 Global Shazams
- Fall 2023 Shazam Popularity Data
- Global Music Identification Insights
Attributes
Original Data Source: Global Music Identification Insights
QUALITY