Data-Driven Analysis of Weather Patterns: Comparative Study of New York City, Phoenix, and Seattle Using Advanced Visualization Techniques

This paper presents a comprehensive comparative analysis of weather patterns across three distinct U.S. cities: New York, Phoenix, and Seattle. By integrating and examining historical weather data, we explore temperature dynamics, seasonal variations, precipitation trends, and extreme weather occurrences in these cities, each of which represents a unique climatic region—temperate, arid, and marine west coast, respectively. Our study applies statistical techniques and visualization methods to highlight both typical and anomalous weather patterns, focusing on actual mean temperatures, record highs and lows, and precipitation events. Seasonal variations in temperature and precipitation are analyzed in detail, offering insights into each city’s climate behavior over the years. This analysis further addresses the frequency and temporal distribution of extreme weather events, examining how each city has experienced record-breaking temperatures and precipitation across decades. The findings underscore the importance of region-specific climate resilience strategies, as urban environments face increased risks from climate change. Insights drawn from this study can assist city planners, policymakers, and public health officials in preparing for future climate variability and potential impacts on infrastructure, energy demand, and community wellbeing.