Analyzing Seasonal Variations, Social Media Trends, and Nutritional Patterns of Smokers: A Comparative Study with the General Population in Italy for Prospective Product Development Applications

This study examines the food and taste preferences of smokers in Italy compared to the general population. Utilizing a robust analytical framework, they performed data analysis using AWS, SQL, Python, and JavaScript to export, clean, analyze, and optimize the collected data. Used visualization techniques to provide findings are clear and understandable. The study not only sheds light on the current state of high taste but also harbors insights for future product development within the food industry. The study includes anonymous samples from all over Italy, ensuring a broad representation of the population. Furthermore, the analysis extends beyond mere preferences, deepening into subtle changes in preferences at different times by analyzing seasonal preferences. This multidimensional approach to complex games a the interaction of smoking, geographic diversity, and seasonal influences among Italian individuals provides valuable insights into the taste preferences of the Italian population