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fa69fe9c5f
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07fda3ad91
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rcode.go
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rcode.go
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@ -34,9 +34,5 @@ pr1 <- ggplot(qrate, aes(x=date, y=value)) + geom_line()+geom_smooth(method='gam
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pr2 <- ggplot(trate, aes(x=date, y=value)) + geom_line()+geom_smooth(method='gam',formula=y~s(x, bs="cs"),se=FALSE)+scale_y_continuous(labels = scales::percent)+labs(y='Positive Rate')+coord_cartesian(ylim=c(0,0.04))+ggtitle('New York')+theme(plot.title=element_text(hjust = 0.5))
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p <- grid.arrange(p1,p2,pr1,pr2,ncol=2)
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zip <- read_csv('~/prog/covid/nyopendata/timeseries.csv')
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zip <- pivot_longer(zip, c('COVID_CASE_COUNT','COVID_DEATH_COUNT','TOTAL_COVID_TESTS'))
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zip$date <- mdy(zip$date)
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`
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}
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