在flavanoids
和phenols
之间创建散点图。使点的颜色和形状反映出葡萄酒的来源。
给定:
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))
答案 0 :(得分:0)
尝试ggplot(wine, aes(x = flavanoids, y = phenols, col=origin)) + geom_point()
。
ggplot()
告诉R进行酚对黄酮的绘图,并对不同的来源使用不同的颜色。 geom_point()
告诉R做一个散点图。