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Streaming Platform User Engagement Metrics
Data Science and Analytics
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About
This dataset offers valuable insights into music streaming trends and listener preferences observed between 2018 and 2024. It covers various streaming platforms, including popular services like Spotify, Apple Music, and YouTube. The data encompasses listener demographics, their streaming habits, preferred music genres, and engagement metrics, making it a rich resource for understanding the digital music landscape.
Columns
- User_ID: A unique identifier assigned to each individual listener.
- Age: The age of the listener.
- Country: The country of residence for each user.
- Streaming Platform: Details the specific music streaming platform utilised by the user, such as Amazon Music or Tidal.
- Top Genre: Identifies the primary music genre most frequently streamed by the user, for example, Reggae or Jazz.
- Minutes Streamed Per Day: Represents the average daily duration, in minutes, that a user spends listening to music.
- Number of Songs Liked: The total count of songs a user has marked as liked.
- Most Played Artist: The artist most frequently played by the user, such as Bad Bunny or Adele.
- Subscription Type: Indicates whether the user has a 'Free' or 'Premium' subscription.
- Listening Time (Morning/Afternoon/Night): Specifies the period of the day when the user listens to music most often (e.g., Night, Afternoon, Morning).
- Discover Weekly Engagement (%): The percentage of engagement with features like 'Discover Weekly'.
- Repeat Song Rate (%): The rate at which a user repeatedly listens to songs.
Distribution
The dataset is provided as a CSV file, named
Global_Music_Streaming_Listener_Preferences.csv, with a size of 372.87 kB. It contains 12 distinct columns and approximately 5,000 records or rows, each representing a unique listener's data.Usage
This dataset is ideal for a variety of analytical applications within the music industry. It can be effectively employed for predictive modelling to forecast future trends, conducting detailed trend analysis, developing machine learning models to understand listener behaviour, and supporting business intelligence initiatives to inform strategic decisions.
Coverage
The dataset spans a six-year period from 2018 to 2024. Geographically, it covers global music streaming trends, with specific user residences including Australia and South Korea, alongside a representation of users from various other countries. Demographically, it includes listener age information, with ages ranging from 13 to 60.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for data scientists, market researchers, business analysts, and developers in the music and entertainment sectors. It can assist in understanding consumer preferences, optimising marketing strategies, personalising user experiences on streaming platforms, and developing new music recommendation systems.
Dataset Name Suggestions
- Global Music Streaming Trends and Listener Insights
- Music Listener Habits and Preferences 2018-2024
- Digital Music Consumption Data
- Streaming Platform User Engagement Metrics
- Music Industry Listener Demographics
Attributes
Original Data Source: Streaming Platform User Engagement Metrics
QUALITY