### 1.1 Business Data Landscape This dataset sits in the sleep health and digital behavior domain, based on the Kaggle source "sleep-debt-and-screen-time-late-night-phone-habits" and its single table, `bedtime_screentime_sleep_debt`. The table holds 8,500 rows, which most likely represent individual observations linking bedtime patterns, screen time, and accumulated sleep debt. It is structured as one flat, self-contained table, so the core entities and measures sit side by side and can be analyzed together without assembly. At 0.2 MB, it is compact enough for rapid exploration and iteration. ### 1.2 Key Data Assets | Table | Role | Rows | % of Total | Size | |-------|------|-----:|----------:|-----:| | bedtime_screentime_sleep_debt | dimension | 8,500 | 100.0% | 0.2 MB | `bedtime_screentime_sleep_debt` is the entire dataset, so it accounts for 100% of rows by design. It serves as the single analytical foundation for studying how late-night phone habits relate to sleep outcomes. Nettle classifies it as a dimension, which reflects its descriptive, attribute-rich character rather than a transactional event log. ### 1.3 Data Integration Posture No inter-table relationships were detected, which is expected for a one-table dataset and should not be read as fragmentation. The dataset is internally consistent, with 100% completeness and 100% referential integrity in the headline scores. Its analytical value will grow through enrichment, such as adding contextual attributes or new observation periods, rather than through joins. Schema evolution is the more relevant path for extending its reach.