01 - System-Wide OTP Trend
Consumes this source in its data lineage graph.
Dependency
Dataframe library used for fast tabular data transformations and aggregation.
Owner: Open-source Python ecosystem maintainers. · Freshness: Version pinned by project environment until dependency updates are applied.
Built 2026-03-03 02:23 UTC · Commit defd5c8
flowchart LR src["polars"] src --> c1["01 - System-Wide OTP Trend"] src --> c2["02 - Mode Comparison"] src --> c3["03 - Route Ranking"] src --> c4["04 - Neighborhood Equity"] src --> c5["05 - Anomaly Investigation"] src --> c6["06: Seasonal Patterns"] src --> c7["07: Stop Count vs OTP"] src --> c8["08: Hot-Spot Map"] src --> c9["09: Incline Investigation"] src --> c10["10: Trip Frequency vs OTP"] src --> c11["11: Directional Asymmetry"] src --> c12["12: Route Geographic Span vs OTP"] src --> c13["13: Cross-Route Correlation Clustering"] src --> c14["14: COVID Recovery Trajectories"] src --> c15["15: Municipal/County Equity"] src --> c16["16: Transfer Hub Performance"] src --> c17["17: Weekend vs Weekday Service Profile"] src --> c18["18: Multivariate OTP Model"] src --> c19["19 - Ridership-Weighted OTP"] src --> c20["20 - OTP → Ridership Causality"] src --> c21["21 - COVID Ridership vs OTP Recovery"] src --> c22["22 - Passenger-Weighted Delay Burden"] src --> c23["23 - Garage-Level Performance"] src --> c24["24 - Weekday vs Weekend Ridership Trends"] src --> c25["25 - Ridership Concentration & Equity"] src --> c26["26 - Ridership in Multivariate OTP Model"] src --> c27["27 - Traffic Congestion and OTP"] src --> c28["28 - Weather Impact"] src --> c29["29 - Service Change Impact on OTP"] src --> c30["30 - Service Level vs OTP Longitudinal"] src --> c31["31 - Stop Consolidation Candidates"] src --> c32["32 - Shelter Equity"] src --> c33["33 - Pandemic Ridership Geography"] src --> c34["34 - Ridership Concentration (Pareto)"] src --> c35["35 - Boarding/Alighting Flow Analysis"] src --> c36["36 - National Ridership Growth (2019 vs 2024)"] src --> c37["37 - Peer City Ridership Comparison"]
| Why It Matters | Caveat |
|---|---|
| Runtime dependency required for this page's pipeline or analysis code. | Library updates may change behavior or defaults. |
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.
Consumes this source in its data lineage graph.