Create a static or interactive visualization that distinguishes trips within a borough from trips across boroughs and explain the usage story it reveals.
# Visualize Intra- and Inter-Borough Travel
Create a static or interactive visualization that helps a reader compare trips within one borough with trips crossing borough boundaries. Explain the story supported by the chart and the uncertainty or coverage limits that could change that story.
### Constraints & Assumptions
- Borough labels must come from a documented spatial join or trusted zone mapping.
- Missing coordinates and trips outside mapped areas must be counted.
- Normalize when raw volume would merely reproduce borough population or dataset coverage.
### Clarifying Questions to Ask
- Is the audience comparing absolute volume, share of trips, distance, fare, or time pattern?
- Are exact origin and destination locations safe to display?
- Should direction between boroughs be preserved?
```hint Match the chart to the comparison
A flow matrix and a geographic map answer different questions; choose the one that makes the intended contrast easiest to verify.
```
### What a Strong Answer Covers
- Reproducible origin and destination borough assignment.
- A chart with clear denominators, labels, ordering, and accessible color choices.
- A specific evidence-backed narrative rather than decoration.
- Missingness, privacy, and sensitivity checks.
### Follow-up Questions
- How would you show changes by hour without overwhelming the reader?
- How would conclusions change after normalizing by all pickups in each origin borough?
Overview: Create a static or interactive visualization that distinguishes trips within a borough from trips across boroughs and explain the usage story it reveals.
Create a static or interactive visualization that helps a reader compare trips within one borough with trips crossing borough boundaries. Explain the story supported by the chart and the uncertainty or coverage limits that could change that story.
Constraints & Assumptions
Borough labels must come from a documented spatial join or trusted zone mapping.
Missing coordinates and trips outside mapped areas must be counted.
Normalize when raw volume would merely reproduce borough population or dataset coverage.
Clarifying Questions to Ask Guidance
Is the audience comparing absolute volume, share of trips, distance, fare, or time pattern?
Are exact origin and destination locations safe to display?
Should direction between boroughs be preserved?
What a Strong Answer Covers Guidance
Reproducible origin and destination borough assignment.
A chart with clear denominators, labels, ordering, and accessible color choices.
A specific evidence-backed narrative rather than decoration.
Missingness, privacy, and sensitivity checks.
Follow-up Questions Guidance
How would you show changes by hour without overwhelming the reader?
How would conclusions change after normalizing by all pickups in each origin borough?