Create a scatter plot between flavanoids
and phenols
. Have the point color and shape reflect the wine origin.
given:
wineurl <- paste("https://archive.ics.uci.edu/ml/",
"machine-learning-databases/wine/wine.data", sep = "")
wine <- as_tibble(read.csv(file = wineurl, header = FALSE))
colnames(wine) <- c("origin", "alcohol", "acid",
"ash", "alcalinity", "magnesium",
"phenols", "flavanoids", "nonflavanoid",
"proanthocyanins","color.int", "hue",
"od", "proline")
wine <- wine %>%
mutate(origin = factor(origin))
try ggplot(wine, aes(x = flavanoids, y = phenols, col=origin)) + geom_point()
.
ggplot()
tells R to do a phenols vs flavanoids plot and use different color for different origin. and geom_point()
tells R to do a scatter plot.
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