Region premiums

In this exercise, your objective is to plot histograms that compare the yearly insurance premiums of policyholders across different regions. To achieve this, you will define a plotting chain that adjusts the units of the insurance charges from dollars to thousands of dollars, enhancing the visualization. You will plot the histograms on a two-by-two grid.

The DataFrames, StatsPlots and Chain packages have been imported, and the insurance DataFrame has been loaded.

Diese Übung ist Teil des Kurses

Introduction to Data Visualization with Julia

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Anleitung zur Übung

Apply the transform() function to divide each element of the :Charges column by 1000 and assign the resulting values back to the same column.
Set the layout argument to generate a two-by-two grid of histograms.
Customize the axis labels by setting the x-axis label of the bottom two histograms to "Premium (kUSD)", and set the y-axis label of the first and third histograms to "Frequency".

Interaktive Übung

Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.

colors = [:slategray1 :springgreen4 :deeppink :darkviolet]

@chain insurance begin
	# Change charge units
    transform(:____
    	=> ByRow(x -> ____) => :____)
	# Create histograms
    @df histogram(:Charges, group=:Region,
    	layout=____,
        color=colors,
        # Set axis labels
        xlabel=____,
        ylabel=____)
end
ylims!(0, 120)

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