Purpose

Total Pageviews: 2,243 across 78 pages - highly concentrated traffic with top 5 pages generating 60% of views
Average Bounce Rate: 49.6% - indicates roughly half of visitors leave without meaningful interaction
Average Session Duration: 101 seconds - moderate engagement depth with high variability (sd=176.32)
Pareto Distribution: 23 pages drive 80% of traffic, while 55 pages contribute minimal volume
Quality Segmentation: 26 pages classified as \"Stars\" (high engagement), 20 as \"Optimize\" (mixed signals), 17 as \"Review\" (low engagement)
Engagement Extremes: /signup achieves perfect 1.0 engagement rate; 30 pages exceed 60% bounce threshold

This section documents the data filtering applied before analysis. The dramatic reduction from 376 to 78 rows (79.3% removal) indicates aggressive filtering criteria were applied to the raw dataset. Understanding this preprocessing is critical because it directly shapes which pages are included in the engagement and quality assessments that drive the overall analysis.

Key Findings

Retention Rate: 20.7% - Only one-fifth of initial observations survived filtering, suggesting strict inclusion criteria
Rows Removed: 298 observations excluded, indicating substantial data consolidation or deduplication
Train/Test Split: Not specified - no explicit model validation framework documented
Filtering Logic: Criteria not disclosed, limiting transparency on what data was excluded and why

Interpretation

The 79.3% data loss is substantial and warrants scrutiny. Given the analysis objective focuses on page-level performance metrics (engagement, bounce rates, session duration), the filtering likely consolidated multiple sessions or events into unique page records. This aggregation approach aligns with the final dataset structure (78 unique pages), but the undocumented filtering criteria create uncertainty about representativeness and potential bias in which pages qualified for analysis.

Context

The absence of documented filters and train/test methodology limits confidence in result generalizability. The final dataset's focus on 78 distinct pages suggests row-level filtering rather than column reduction,