Abstract
A city's rapid growth comes from multiple factors like understanding demography, the pattern of daily life, and financial health, which directly impact the city's economy. Every city should develop a strategy for managing urban performance, which can be more effective by monitoring all events in the city [1]. Visualizing this data can provide insights into the variables that impact growth. This project proposes a literal visualization approach that rationalizes big data attributes into smaller blocks of information for visualization, intending to create a smart city dashboard website. The dashboard will analyze and visualize city data, providing insights into where city improvement grants should be invested or not. The development of this dashboard implies a significant investment in the city's human and financial resources from the city [2], including data on participants' behavior, such as the places they visit, their spending habits, and their daily routines. Long-term factors such as overall wages and living expenses also impact citizens.
In this project, I propose a study that predicts the future trend of city revenue, and thus it will help in efficient investment in the city. Also, I am utilizing data analysis techniques to assess the city's financial performance and forecast its economic outlook for the upcoming year by implementing this project in a web context. These results can be easily shared and refined, facilitating unified decision-making for city management and investment purposes.