This repo presents a comprehensive Exploratory Data Analysis (EDA) of medical charges data from an insurance company using the R programming language. The goal is to uncover significant factors influencing annual medical expenses, such as age, Body Mass Index (BMI), smoking status, gender, geographical region, and number of children. The analysis includes data preprocessing, descriptive statistics, and visualizations (Violin Plots, Lollipop Charts, Boxplots, Scatterplots) to highlight correlations and patterns.