Add VT2-examples: all 6 chapters of 'Visualize This' (110 files) — data scraping, ETL, trends, categorical, multivariate, spatial, distribution analysis
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#
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# Pie charts
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#
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# Load data
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htypes <- read.csv("data/household-types.tsv", sep="\t")
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h2021 <- htypes[htypes$year == 2021,]
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h2021_alpha <- h2021[order(h2021$htype, decreasing=TRUE),]
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h2021_num <- h2021[order(h2021$p),]
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#
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# Pie chart, sorted and unsorted
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#
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par(mfrow=c(1,2))
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pie(h2021_alpha$p, labels=h2021_alpha$htype, init.angle=90, col = "gray")
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pie(h2021_num$p, labels=h2021_num$htype, init.angle=90, col = "gray")
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#
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# Bar chart, sorted and unsorted
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#
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par(mfrow=c(1,2))
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barplot(h2021_alpha$p, names.arg=h2021_alpha$htype, horiz=TRUE)
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barplot(h2021_num$p, names.arg=h2021_num$htype, horiz=TRUE)
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