This project explores statistical analysis through an Instagram Post dataset to understand engagement patterns using point and interval estimations. Our objective is to understand the average engagement metrics, such as likes, and how they are influenced by the characteristics of the post. Using R for data processing and visualization, I begin with data cleaning, then use R libraries plotly, ggplot2 and tinytex to illustrate the correlations and also the equations used.