In Week 10, as part of my exploration of the Analyze Boston Data Hub, I am currently in the process of selecting data for analysis, with a focus on aligning it with my desired outcomes. Despite initially considering an economic analysis, I encountered a limitation due to the scarcity of data points in that domain. Today, I shifted my attention to the “approved building permits” dataset, aiming to ensure that construction projects adhere to the State Building Code’s safety requirements, prioritizing health and safety.
The chosen dataset revolves around food inspections in Boston, providing information on how businesses that serve food comply with relevant sanitary rules and standards. These inspections occur at least once a year, with follow-up inspections for high-risk facilities. By analyzing this data, I intend to gain insights into the functionality of the Boston area’s food chain, questioning the scale of big brands and exploring whether they operate similarly to other food chains. My goal is to utilize this data for forecasting the future of the food industry, and I plan to experiment with visualization techniques, exploring libraries beyond Matplotlib and Altair to enhance the presentation of my findings.