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.
本练习是课程的一部分
Introduction to Data Visualization with Julia
交互式实操练习
通过完成这段示例代码来试试这个练习。
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)")