Gaming Behavior and Well-Being Factors for Addiction Analysis

Gaming Addiction and Mental Health Analysis is an exploratory dataset from Kaggle. It likely contains data on gaming habits, lifestyle choices, and mental well-being indicators. The author, organization, and update date are unknown.

Use Cases

• Identify correlations between gaming habits and mental health outcomes based on behavioral and well-being factors.
• Analyze lifestyle factors that may contribute to gaming addiction risk based on the described variables.
• Build predictive models for problematic gaming behavior based on the combination of gaming, lifestyle, and well-being data.

Strengths

• Focuses on a specific research intersection of gaming, lifestyle, and mental well-being.
• Description explicitly mentions multiple factor types (gaming behavior, lifestyle, well-being) for analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle

Collection Method

An exploratory study, as described.