This project was completed for GEO 425 at Michigan State University. I analyzed the relationship between public high school performance and proximity to public libraries in Chicago. Using data on the locations of libraries, public high schools, and road networks, I also incorporated school performance metrics such as four-year graduation rates and standardized test scores. In ArcGIS Pro, I refined the road network to include only drivable roads and calculated travel times using speed limit and road length attributes. I then performed a network analysis by designating each public library as a facility and mapping out 2- and 5-minute service areas around them. The resulting spatial data was converted to GeoJSON and visualized in kepler.gl, with high schools symbolized by graduation rates. Preliminary findings suggest that schools located within library service areas generally exhibit higher graduation rates. However, there are exceptions, and statistical analysis showed only a slight negative correlation between distance to libraries and school performance. Additional data such as funding levels for schools and libraries or socioeconomic demographics are needed along with further analysis to determine if the correlation is causal.