CC-US-Medical-Insurance-Analysis

This project will review a sample of 1300 anonymous client files. All data is provided by CodeCademy and the project falls within their Python curriculum. The data includes:

• Client Gender
• Client Age
• Client BMI (Body Mass Index)
• Number of Children
• Client Smoking Status
• Region of the US where the client resides
• Client Total Insurance Costs

All Analysis will be done with Jupyter Notebooks

Topics Covered in this Project

• Descriptive Statistics for Continuous and Categorical Variables
• Data type Conversions
• Calculating Standard Deviations and converting variables to Z-scores
• Linear Regression using brute force to determine best fit line
• Using Numpy to create random samples of data points
• Using Matplotlib and Seaborn to plot the data and regression lines
• Summarize Findings and include considerations for future study