🩺 EDA on US Health Insurance Dataset This project contains a basic Exploratory Data Analysis (EDA) on the US Health Insurance dataset.

📌 What I Did Loaded the dataset using Pandas

Checked for null values and data types

Explored basic statistics using .describe()

Used Matplotlib and Seaborn for simple visualizations

Analyzed:

Distribution of charges

Effect of smoking on insurance cost

Relationship between age, BMI, and charges

Gender and regional distribution

🔍 Key Observations Smokers tend to have much higher insurance charges

BMI and age also affect charges

Minor differences found between regions

No missing values (or they were handled)

📁 Tools Used Python (Jupyter Notebook)

Pandas

Matplotlib

Seaborn