This assignment provides students with an opportunity to apply the data analysis and visualization techniques they have learned in labs 1-3 to investigate meaningful real-world issues. By focusing on the social and demographic differences between cities, students are encouraged to think critically about how data can reveal unique patterns and trends across diverse urban environments. Using non-spatial data from the U.S. Census, students will work independently to analyze and visualize these differences, demonstrating their ability to draw connections and communicate findings effectively.
The assignment emphasizes not only technical skill development but also the importance of interpreting data in a way that informs our understanding of people and places. The final report will serve as a comprehensive resource that highlights key demographic and social characteristics of different urban areas. This information can provide a valuable backdrop for further exploration of topics in fields such as geography, urban planning, and social sciences, enabling students to link their work to broader societal and academic contexts.
For this assignment, I selected one high-growth city and one no/slow-growth city, ensuring population growth rates met the criteria outlined in the instructions. Using advanced search tools on the U.S. Census Bureau’s website, I collected data on four key aspects: population growth trends (2010–2022), educational attainment for individuals 25 and older, racial composition, and an additional analysis of my choosing. I organized the data into separate CSV files and visualized it through charts and graphics. Each visualization was accompanied by a narrative explaining trends and key findings, highlighting similarities and differences between the cities, and discussing their development trajectories. The final report included an introduction, detailed analyses, and a conclusion, all formatted with proper captions and labels for clarity.
Completed September 25th, 2024, Fall Semester