The objective of this assignment is to provide students with the opportunity to enhance and showcase their network analysis and visualization skills through the use of Job-to-Job (J2J) flow data from the U.S. Census. Students are required to develop a clear and focused research question related to job flows within the United States, selecting a specific study area such as a state or metropolitan region. By analyzing the J2J data and potentially combining it with other datasets, students will explore workforce mobility patterns and economic trends. The assignment emphasizes the creation of detailed visualizations, including network graphics, to illustrate their findings and answer their research question. This process allows students to gain a deeper understanding of job flow dynamics while applying practical skills in data analysis and visualization.
For this assignment, I explored the evolution of job-to-job flows in the technology sector between Denver and Austin from 2010 to 2020, focusing on geographic mobility and earnings trends. Using Job-to-Job (J2J) flow data from the U.S. Census and additional data sources, I cleaned and filtered the dataset to focus on relevant industries. Visualizations, including chord diagrams, bar plots, line graphs, and box plots, were created to analyze workforce mobility, industry specialization, earnings distributions, and seasonal trends. My report integrated these findings into a narrative that highlights the interconnectedness of these tech hubs, sector-specific dynamics, and economic implications, with recommendations for policymakers and businesses to sustain growth in the tech sector.
Completed October 29th, 2024, Fall Semester