Upcharging older smokers

In this exercise, your objective is to examine how age and smoker status influence the cost of insurance premium charges. To achieve this, you will create a scatter plot that showcases insurance charges against age, grouped by smoker status. The DataFrame recipe will be employed to facilitate this process.

You can leverage the pre-loaded insurance DataFrame, which contains the requisite data for the analysis. The DataFrames and StatsPlots packages have been imported.

本练习是课程的一部分

Introduction to Data Visualization with Julia

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练习说明

Utilize the recipe to create a scatter plot of the insurance DataFrame.
Plot the :Charges (y-axis) versus :Age (x-axis) grouping by the :Smoker column.
Customize the plot by setting the markershape to :rect, the markersize to 5, and using marker colors :lightseagreen and :crimson.

交互式实操练习

通过完成这段示例代码来试试这个练习。

# Use recipe
____ ____ scatter(
	# Pass columns
	:____,
    :____,
    group=:____,
    legend_title="Smoker",
	# Customize markers
    markershape=:____,
    markersize=____,
    markercolor=[:____ :____]
)
xlabel!("Age")
ylabel!("Insurance Premium (USD)")

编辑并运行代码