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jscrane/gist:f76554d897f9ad19efda013c1f019924

Created February 9, 2019 18:37
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bp
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gistfile1.txt
date,time,sys,dia,pulse
2019-02-09,15:17:44,129,86,69
2019-02-09,08:48:58,120,84,63
2019-02-08,19:29:04,116,78,71
bp <- read.csv(file="/tmp/x.csv", header=TRUE, sep=",")
bp$date = as.Date(bp$date)
n = nrow(bp)
bq <- bp[order(bp$date, bp$time),]
matplot(bq, type="p", xaxt="n")
axis(1, labels=bp$date, at=seq.int(1, n), las=2)
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