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[2021] Auckland - STATS 787 Data Visualisation - Final Exam - Q6 COVID Visualisation

[2021] Auckland - STATS 787 Data Visualisation - Final Exam - Q6 COVID Visualisation

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6. [10 marks]
            CourseNana.COM
        (a) [7 marks]
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        This question relates to the code below which draws a map showing China, Singapore, and Indonesia, with the fill colour for each country reflecting the number of cases that originated from that country. The map is shown below the code.
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        library(ggplot2)
library(scales)
gmap <- ggplot(asiaCounts) +
geom_sf(aes(fill=freq, colour=freq, size=weight)) +
geom_label(aes(X, Y, label=name),
color="white", fill=rgb(0,0,0,.5), label.size=0,
hjust=0, vjust=0) +
scale_colour_gradient(low=hcl(60, 60, 40),
high=hcl(60, 80, 80),
aesthetics=c("colour", "fill"))
 
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        Explain in detail the purpose of every line of the code above, including the meaning of all functions and arguments.
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        (b) [3 marks]
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        Suppose that we are only interested in comparing the three countries in terms of the number of COVID cases that originated in each country.
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        Describe an alternative data visualisation that would make this comparison easier and write R code that would produce such a visualisation.
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