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User Engagement Streaming Dataset
Data Science and Analytics
Tags and Keywords
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Free
About
This dataset provides insights into user behaviour, content consumption patterns, and the overall performance metrics for a streaming service. It captures key interactions and demographic information to understand how users engage with video content.
Columns
- User_ID: A unique identifier for each individual user.
- Session_ID: A unique identifier for a user's specific viewing session.
- Device_ID: An identifier for the device used by the user.
- Video_ID: An identifier for the video content being viewed.
- Duration_Watched (minutes): The length of time (in minutes) a user spent watching a video.
- Genre: The specific genre of the video content, such as Action, Comedy, or Drama.
- Country: The country where the user's interaction event took place.
- Age: The age of the user.
- Gender: The user's gender, e.g., Male or Female.
- Subscription_Status: Indicates the user's subscription level, such as Free or Premium.
- Ratings: The user's rating or feedback for the content, typically on a scale from 1 to 5.
- Languages: The language of the content being viewed.
- Device_Type: The type of device used by the user (e.g., Smartphone, Tablet).
- Location: The location or city where the interaction event occurred.
- Playback_Quality: The quality of video playback, such as HD, SD, or 4K.
- Interaction_Events: The count of interaction events during a user's session (e.g., clicks, likes, shares).
Distribution
The data file is typically provided in CSV format. Specific numbers for the total rows or records are not explicitly available. However, unique values for User_ID, Session_ID, Device_ID, and Video_ID are noted as 6214. The Duration_Watched ranges from 0.06 to 120.00 minutes. The dataset includes 243 unique genres, with Documentary and Thriller each making up 17% of the content. User ages range from 10.00 to 70.00. Gender distribution shows approximately 51% female and 49% male users. Subscription status is evenly split with 50% free and 50% premium users.
Usage
This dataset is ideal for analysing user engagement, optimising content recommendations, and assessing the performance of streaming services. It can be used for developing predictive models for user churn, personalising content experiences, and understanding global consumption trends.
Coverage
The dataset covers interactions globally, with detailed geographic insights available through the 'Country' and 'Location' columns. Demographic scope includes user age (ranging from 10 to 70), gender (split almost evenly), and subscription status. A specific time range for the data collection is not provided.
License
CC0
Who Can Use It
This dataset is suitable for data scientists, data analysts, researchers, and machine learning engineers. It can be utilised for building recommendation systems, conducting behavioural analytics, developing user segmentation models, and performing general data science and analytics tasks related to streaming platforms.
Dataset Name Suggestions
- Streaming Service User Behaviour
- Video Content Consumption Data
- Global Streaming Analytics
- User Engagement Streaming Dataset
- Streaming Platform Performance Data
Attributes
Original Data Source: video streaming application
QUALITY