Analyzing California Traffic, Economic, and Demographic Trends

In this big data analytics project, our focus is on unraveling the intricate relationship between population dynamics, economic shifts, and traffic volume in California. Through a professional and comprehensive approach, we delve into the demographics and socioeconomic trends across California's counties to discern their impact on traffic patterns. Employing advanced data analysis and visualization techniques, we aim to illuminate significant correlations and causal relationships between economic growth, population dynamics, and traffic volume. Our ultimate goal goes beyond mere correlation discovery; we aspire to develop a predictive model capable of forecasting future traffic volumes. The insights derived from this analysis will not only deepen our understanding of current conditions but also serve as a valuable foundation for urban planning, infrastructure development, and strategic economic decision-making.

   Used Technologies

  • Excel
  • RStudio
  • Python: Pandas, MatPlotLib, NumPy
  • Tableau
  • ArcGis
  • SeaBorn

Used Datasets

Population and Household Income
  • The United States Census Bureau
  • Traffic
  • Traffic Census Program: Caltran
  • Final Paper

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