Upcharging heavier smokers

In this exercise, you will investigate how smoker status and BMI affect the cost of insurance premium charges. You will accomplish this by creating a scatter plot that displays insurance charges against BMI, grouped by smoker status. You will utilize the DataFrame recipe we discussed in the video to achieve this.

The insurance DataFrame has already been loaded for you, providing the necessary data for the analysis. The DataFrames package has been imported.

This exercise is part of the course

Introduction to Data Visualization with Julia

View Course

Exercise instructions

Import the necessary package that defines the DataFrame plotting recipe.
Use the recipe to create a scatter plot using data in the insurance DataFrame.
Pass the :BMI, :Charges, and :Smoker columns as arguments in the appropriate positions.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Import the necessary package
using ____

# Use recipe
____ ____ ____(
	# Pass columns
	:____,
    :____,
    group=:____,
    legendtitle="Smoker")
xlabel!("Body Mass Index (BMI)")
ylabel!("Insurance Premium (USD)")

Edit and Run Code