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Switched to iris data from R datasets

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This commit is contained in:
Krishna Choudhary 2020-06-19 15:35:45 -07:00
parent ea3fea229f
commit d3eb7b8f4b
3 changed files with 5 additions and 3 deletions
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4
intermediate-r-data-visualization/1. iris.R
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@ -1,5 +1,5 @@
#Read data in. #Read data in.
dat <- read.table("iris.csv", header= TRUE, sep = ",") dat <- iris
#Plot using 'base' graphics. #Plot using 'base' graphics.
plot(x = dat$Sepal.Length, y = dat$Petal.Length, plot(x = dat$Sepal.Length, y = dat$Petal.Length,
@ -195,4 +195,4 @@ ggplot(data = dat, aes(x = Sepal.Length, y = Petal.Length)) +
panel.border = element_rect(size = c(1,1,1,1), color = "black", panel.border = element_rect(size = c(1,1,1,1), color = "black",
fill = NA))+ fill = NA))+
xlab("Sepal Length") + xlab("Sepal Length") +
ylab("Petal Length") ylab("Petal Length")

4
intermediate-r-data-visualization/4. Hill_equation_interactive.R
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@ -50,4 +50,6 @@ server <- function(input, output) {
} }
shinyApp(ui, server) shinyApp(ui, server)

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intermediate-r-data-visualization/Visualization_with_ggplot2.zip
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