This project presents a comprehensive analysis of website traffic and user behavior using statistical and data visualization techniques implemented in R. The study focuses on exploring patterns in user interactions, including page visits, session durations, and engagement trends. Various analytical methods such as descriptive statistics, correlation analysis, and graphical visualizations (including plots and charts) have been applied to derive meaningful insights from the dataset. The objective of this analysis is to understand user behavior, identify key performance indicators, and highlight trends that can support data-driven decision-making for website optimization. The report demonstrates the effective use of R programming for data cleaning, exploration, and visualization.

first time doing this type of publish