### 1.1 Business Data Landscape This dataset sits in the consumer media and entertainment space. It centers on a single table, **Social_media_impact_on_life**, which holds 4,500 records on how social media engagement relates to people's lives. Nettle classifies the table as a *dimension*, meaning it is descriptive: each row profiles an individual case rather than logging transactions or events. The whole dataset is one self-contained, flat structure, so there is a single view of the subject rather than a layered model. ### 1.2 Key Data Assets | Table | Role | Rows | % of Total | Size | |-------|------|-----:|----------:|-----:| | Social_media_impact_on_life | dimension | 4,500 | 100.0% | 0.2 MB | Social_media_impact_on_life is the entire asset base, so it accounts for 100% of rows. At 0.2 MB it is small enough to explore quickly in any analysis tool. Its 100% completeness score means no gaps were found in the data, which gives a dependable starting point for audience-behavior analysis. ### 1.3 Data Integration Posture Nettle detected **0 relationships**, and none are needed: with one table, there is nothing to be disconnected from. The 100% referential integrity score is therefore a by-product of the single-table structure, not evidence of a tested linkage. The practical opportunity is enrichment. Future versions could add reference material such as audience segments, platform categories, or time periods, which would let leaders move from a single snapshot to trend and segment comparisons. Any such additions should be planned as deliberate schema evolution.