Consumer Preferences and Perception Towards Buying Organic Food

Abstract

This research paper examines consumer preferences and perceptions of organic food purchases. A structured survey was administered to a diverse demographic that captured various factors that influence consumer behavior, including age, gender, income level, and education. The data cleaning process is strictly done using Python, solving the loss of missing values, deleting useless reactions and analyzing standardized data sets. These findings indicate that health benefits for health are set as a key motivation for buying decisions. However, it also emphasizes obstacles such as limited availability, high costs and lack of knowledge of organic products that show the scope of market access improvement and consumer education. In addition, the analysis shows that preferences based on statistical factors of the population are significantly different, which emphasizes the importance of target marketing strategies. This study helps understand consumer behavior in the organic food industry and provides valuable insights for stakeholders, including manufacturers, retailers, and policymakers, to increase consumer engagement and promote sustainable food practices.

Keywords: Consumer preference, organic food, Text mining, Neural Network Analysis

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