Data analysis, interpretation, and research report writing are interrelated stages in the research process that transform raw information into meaningful knowledge. In Human Ecology, which examines the interaction between biological and cultural dimensions of human life and the environment, these stages are essential for explaining ecological adaptations, cultural practices, and patterns of human behavior. The process of data analysis begins after data collection. The researcher first organizes the collected information by editing, coding, classification, and tabulation. Editing ensures that the data are complete, accurate, and free from errors or inconsistencies. Coding assigns symbols or numerical values to responses, making the data suitable for statistical analysis. Classification groups similar observations into meaningful categories, while tabulation presents the data in tables to facilitate comparison and understanding. Once the data are organized, the researcher selects appropriate analytical techniques based on the objectives of the study and the nature of the data. Quantitative data are analyzed using descriptive statistics such as frequency, percentage, mean, median, mode, and standard deviation. Inferential statistical methods, including correlation, regression, chi-square