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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# Multi-line chart
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#
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# Load data
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marstat <- read.csv("data/mar_w_age_all.tsv", sep="\t")
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head(marstat)
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unique(marstat$MARST)
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# Subset married
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married <- marstat[marstat$MARST == 1,]
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# Line chart for 2021
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married2021 <- married[married$YEAR == 2021,]
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par(las=1)
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plot(married2021$AGE, married2021$prop*100,
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ylim=c(0, 100),
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type="n",
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bty="n", xaxt="n", yaxt="n",
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xlab="", ylab="",
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main="Proportion of people married, by age")
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axis(1, tick=FALSE)
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axis(2,
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at=seq(0, 100, by=20),
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labels=paste0(seq(0, 100, by=20), "%"),
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tick=FALSE)
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grid()
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lines(married2021$AGE, married2021$prop*100,
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lwd=2,
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col="#b31dc2")
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# All available years
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plot(married2021$AGE, married2021$prop*100,
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ylim=c(0, 100),
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type="n",
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bty="n", xaxt="n", yaxt="n",
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xlab="", ylab="",
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main="Proportion of people married, by age")
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axis(1, tick=FALSE)
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axis(2,
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at=seq(0, 100, by=20),
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labels=paste0(seq(0, 100, by=20), "%"),
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tick=FALSE)
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grid()
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abline(h=0, lwd=2)
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years <- unique(married$YEAR)
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# Multiple lines with a for-loop
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for (yr in years) {
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curr <- married[married$YEAR == yr,]
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lines(curr$AGE, curr$prop*100,
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col="#b31dc2")
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}
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# Change line width for each year
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for (yr in years) {
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curr <- married[married$YEAR == yr,]
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if (yr == 1900) {
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lines(curr$AGE, curr$prop*100,
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lwd=3,
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col="green")
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} else {
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lines(curr$AGE, curr$prop*100,
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lwd=min(c(3, 15*1/(2021-yr+.5))),
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col="#b31dc2")
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}
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}
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