DAT 301, HW3 ioslides presentation using R Markdown.

A quick introduction to what p-values mean and how to interpret them

This project uses computer vision and Google Street View imagery to measure built-environment features such as building proportions, greenness, visible sky, and sidewalk presence across percieved walkable and unwalkable census tracts. By combining spatial visualization, boxplot comparisons, and t-tests, the analysis reveals how urban form and design patterns shape walkability. The findings show that walkable areas consistently feature lower building-to-street ratios, more greenery, and better street proportions, demonstrating that walkability depends on coherent, human-scale urban design rather than the simple presence of pedestrian infrastructure.

Assignment for stats

GEOS 372-L1B Lab 7