BMI versus age
In this exercise, your task is to manipulate the age and body mass index (BMI) data to generate a plot illustrating the average BMI progression among policyholders as they age. You will compare two approaches: one using the StatsPlots plotting recipe for DataFrames and the other without it. Additionally, you will utilize chains to perform data manipulation and visualization.
The necessary packages, DataFrames, StatsPlots, Statistics and Chain, have already been imported for you, and the insurance DataFrame is readily available.
This exercise is part of the course
Introduction to Data Visualization with Julia
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
grouped = groupby(insurance, :Age)
mean_bmis = combine(grouped, :BMI => mean)
# Scatter plot
scatter(____.____, ____.____,
label=false, smooth=____,
linewidth=3, linecolor=:maroon1)
xlabel!("Age")
ylabel!("Body Mass Index (BMI)")