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.
Latihan ini adalah bagian dari kursus
Introduction to Data Visualization with Julia
Latihan interaktif praktis
Cobalah latihan ini dengan menyelesaikan kode contoh berikut.
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)")