IDSN 530 Lab Submission · Task 2 · Time Analysis

When do traffic stops happen most often?

This lab page uses real aggregated data from the StopAtlas San Francisco traffic stop dataset. The goal is to examine how stop activity changes across hour of day, day of week, and month, then compare which time windows show the highest concentration of stops.

Peak Hour
18:00

3,486 recorded stops, the highest hourly count in the dataset.

Busiest Weekday
Tuesday

8,317 stops, slightly ahead of Monday and Wednesday.

Largest Month
January

9,754 stops, the highest monthly total among available records.

Data source: ca_san_francisco_50k.csv from the team project repository. The table and charts below are rendered from real project data embedded directly into this HTML file, so no live database connection is required for grading.
Underlying Data

Aggregated time-distribution table

This table shows the exact grouped values used to render the visualizations. It includes hourly totals, weekday totals, and monthly totals extracted from the original stop records.

Group Category Stop Count Share of Group
Visualizations

Rendered charts from the lab dataset

The first chart shows the hour-by-hour rhythm of stop activity. The second compares weekly totals, and the third adds a monthly trend view to support broader temporal interpretation.

Visualization 1

Stops by hour of day

Visualization 2

Stops by day of week

Additional View

Stops by month

Main conclusion: stop activity is not evenly distributed across time. The strongest concentration appears in the evening, especially around 6 PM, while Tuesday shows the highest weekly total in this sample.