{"id":1207,"date":"2023-07-27T07:11:46","date_gmt":"2023-07-27T07:11:46","guid":{"rendered":"https:\/\/statorials.org\/my\/%e1%80%a1%e1%80%81%e1%80%bb%e1%80%80%e1%80%ba%e1%80%a1%e1%80%ac%e1%80%b8%e1%80%96%e1%80%bc%e1%80%84%e1%80%b7%e1%80%ba-ggplot2\/"},"modified":"2023-07-27T07:11:46","modified_gmt":"2023-07-27T07:11:46","slug":"%e1%80%a1%e1%80%81%e1%80%bb%e1%80%80%e1%80%ba%e1%80%a1%e1%80%ac%e1%80%b8%e1%80%96%e1%80%bc%e1%80%84%e1%80%b7%e1%80%ba-ggplot2","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/%e1%80%a1%e1%80%81%e1%80%bb%e1%80%80%e1%80%ba%e1%80%a1%e1%80%ac%e1%80%b8%e1%80%96%e1%80%bc%e1%80%84%e1%80%b7%e1%80%ba-ggplot2\/","title":{"rendered":"Ggplot2 \u1010\u103d\u1004\u103a \u1021\u1001\u103b\u1000\u103a\u1021\u101c\u102d\u102f\u1000\u103a \u1021\u101b\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038 \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1014\u100a\u103a\u1038 (\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030)"},"content":{"rendered":"

<\/p>\n

\n

\u1019\u1000\u103c\u102c\u1001\u100f\u1006\u102d\u102f\u101e\u101c\u102d\u102f \u101e\u1004\u103a\u101e\u100a\u103a \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1001\u103d\u1032\u1000\u103d\u1032\u1015\u103c\u102c\u1038\u101e\u100a\u1037\u103a\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u1021\u1015\u1031\u102b\u103a \u1021\u1001\u103c\u1031\u1001\u1036\u104d ggplot2 \u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u101b\u103e\u102d \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038\u101e\u102d\u102f\u1037 \u1021\u101b\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1015\u1031\u1038\u101c\u102d\u102f\u1015\u1031\u1019\u100a\u103a\u104b<\/span><\/p>\n

\u1000\u1036\u1000\u1031\u102c\u1004\u103a\u1038\u1011\u1031\u102c\u1000\u103a\u1019\u1005\u103d\u102c\u104a \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b syntax \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1015\u103c\u102f\u101c\u102f\u1015\u103a\u101b\u1014\u103a \u101c\u103d\u101a\u103a\u1000\u1030\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n

 ggplot(df, aes<\/span> (x=x_variable, y=y_variable, color=color_variable)) +\n  geom_point()\n<\/strong><\/pre>\n
 \u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a iris<\/strong> \u101f\u102f\u1001\u1031\u102b\u103a\u101e\u1031\u102c built-in R \u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1024 syntax \u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1000\u103b\u1000\u103b \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038 \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1000\u102d\u102f \u1015\u1031\u1038\u101e\u100a\u103a \u104b<\/span><\/p>\n
 #view first six rows of iris dataset<\/span>\nhead(iris)\n\n  Sepal.Length Sepal.Width Petal.Length Petal.Width Species\n1 5.1 3.5 1.4 0.2 setosa\n2 4.9 3.0 1.4 0.2 setosa\n3 4.7 3.2 1.3 0.2 setosa\n4 4.6 3.1 1.5 0.2 setosa\n5 5.0 3.6 1.4 0.2 setosa\n6 5.4 3.9 1.7 0.4 setosa\n<\/strong><\/pre>\n
 \u1025\u1015\u1019\u102c 1- \u1019\u1030\u101b\u1004\u103a\u1038\u1021\u101b\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101e\u102f\u1036\u1038\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a Species<\/em> factorial variable \u1000\u102d\u102f\u1021\u1001\u103c\u1031\u1001\u1036\u104d ggplot2 \u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u101b\u103e\u102d \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038\u101e\u102d\u102f\u1037 \u1015\u102f\u1036\u101e\u1031\u1021\u101b\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038 \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span> <\/p>\n
 library<\/span> (ggplot2)\n\nggplot(iris, aes<\/span> (x=Sepal.Length, y=Sepal.Width, color=Species)) +\n  geom_point()<\/strong> <\/pre>\n
\"ggplot2<\/p>\n
 \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1021\u101b\u1031\u102c\u1004\u103a\u1005\u1000\u1031\u1038 \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1005\u102d\u1010\u103a\u1000\u103c\u102d\u102f\u1000\u103a\u1021\u101b\u1031\u102c\u1004\u103a\u1005\u102c\u101b\u1004\u103a\u1038\u1000\u102d\u102f \u1019\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1011\u102c\u1038\u101e\u1031\u102c\u1000\u103c\u1031\u102c\u1004\u1037\u103a\u104a ggplot2 \u101e\u100a\u103a \u1015\u102f\u1036\u1019\u103e\u1014\u103a\u1021\u1014\u102e\u104a \u1021\u1005\u102d\u1019\u103a\u1038\u1014\u103e\u1004\u1037\u103a \u1021\u1015\u103c\u102c\u101b\u1031\u102c\u1004\u103a\u1005\u102c\u101b\u1004\u103a\u1038\u1000\u102d\u102f \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038\u1021\u1016\u103c\u1005\u103a \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1015\u1031\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c 2- \u1005\u102d\u1010\u103a\u1000\u103c\u102d\u102f\u1000\u103a\u1021\u101b\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101e\u102f\u1036\u1038\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a scale_color_manual()<\/strong> \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d ggplot2 \u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u101b\u103e\u102d \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038\u101e\u102d\u102f\u1037 \u1005\u102d\u1010\u103a\u1000\u103c\u102d\u102f\u1000\u103a\u1021\u101b\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038 \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span> <\/p>\n
 library<\/span> (ggplot2)\n\nggplot(iris, aes<\/span> (x=Sepal.Length, y=Sepal.Width, color=Species)) +\n  geom_point() +\n  scale_color_manual( values<\/span> = c(\" setosa<\/span> \" = \" purple<\/span> \",\n                                \" versicolor<\/span> =\" orange<\/span> \",\n                                \" virginica<\/span> \"=\" steelblue<\/span> \"))<\/strong> <\/pre>\n
\"categorical<\/p>\n
 \u1021\u101b\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101b\u1014\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1006\u101a\u103a\u1002\u100f\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u101b\u1031\u102c\u1004\u103a \u1000\u102f\u1012\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c 3- \u1005\u102d\u1010\u103a\u1000\u103c\u102d\u102f\u1000\u103a\u1021\u101b\u1031\u102c\u1004\u103a\u1005\u1000\u1031\u1038\u1000\u102d\u102f \u101e\u102f\u1036\u1038\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a RColorBrewer<\/a> \u1015\u1000\u103a\u1000\u1031\u1037\u1002\u103b\u103a\u1019\u103e \u1005\u102d\u1010\u103a\u1000\u103c\u102d\u102f\u1000\u103a\u1021\u101b\u1031\u102c\u1004\u103a\u1005\u1000\u1031\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d ggplot2 \u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u101b\u103e\u102d \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038\u1006\u102e\u101e\u102d\u102f\u1037 \u1005\u102d\u1010\u103a\u1000\u103c\u102d\u102f\u1000\u103a\u1021\u101b\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span> <\/p>\n
 library<\/span> (ggplot2)\nlibrary<\/span> (RColorBrewer)\n\n#define custom color scale\n<\/span>myColors <- brewer. pal<\/span> (3, \" Spectral<\/span> \")\nnames(myColors) <- levels(iris$Species)\ncustom_colors <- scale_color_manual(name = \" Species Names<\/span> \", values = myColors)\n\nggplot(iris, aes<\/span> (x=Sepal.Length, y=Sepal.Width, color=Species)) +\n  geom_point() +\n  custom_colors\n<\/strong><\/pre>\n
\"RColorBrewer<\/p>\n
 \u1011\u1015\u103a\u101c\u1031\u102c\u1004\u103a\u1038\u1021\u101b\u1004\u103a\u1038\u1021\u1019\u103c\u1005\u103a\u1019\u103b\u102c\u1038<\/strong><\/span><\/h3>\n
 ggplot2 \u1010\u103d\u1004\u103a \u1018\u1031\u1038\u1001\u103b\u1004\u103a\u1038\u1000\u1015\u103a\u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038 \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038<\/a>
 ggplot2 \u1010\u103d\u1004\u103a\u1012\u100f\u1039\u100d\u102c\u101b\u102e\u1001\u1031\u102b\u1004\u103a\u1038\u1005\u1009\u103a\u1000\u102d\u102f\u1018\u101a\u103a\u101c\u102d\u102f\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u1019\u101c\u1032\u104b<\/a>
 \u1021\u1000\u1031\u102c\u1004\u103a\u1038\u1006\u102f\u1036\u1038 ggplot2 \u1021\u1015\u103c\u1004\u103a\u1021\u1006\u1004\u103a\u1019\u103b\u102c\u1038\u1021\u1010\u103d\u1000\u103a \u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c \u101c\u1019\u103a\u1038\u100a\u103d\u103e\u1014\u103a<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u1019\u1000\u103c\u102c\u1001\u100f\u1006\u102d\u102f\u101e\u101c\u102d\u102f \u101e\u1004\u103a\u101e\u100a\u103a \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1001\u103d\u1032\u1000\u103d\u1032\u1015\u103c\u102c\u1038\u101e\u100a\u1037\u103a\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u1021\u1015\u1031\u102b\u103a \u1021\u1001\u103c\u1031\u1001\u1036\u104d ggplot2 \u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u101b\u103e\u102d \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038\u101e\u102d\u102f\u1037 \u1021\u101b\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1015\u1031\u1038\u101c\u102d\u102f\u1015\u1031\u1019\u100a\u103a\u104b \u1000\u1036\u1000\u1031\u102c\u1004\u103a\u1038\u1011\u1031\u102c\u1000\u103a\u1019\u1005\u103d\u102c\u104a \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b syntax \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1015\u103c\u102f\u101c\u102f\u1015\u103a\u101b\u1014\u103a \u101c\u103d\u101a\u103a\u1000\u1030\u1015\u102b\u101e\u100a\u103a\u104b ggplot(df, aes (x=x_variable, y=y_variable, color=color_variable)) + geom_point() \u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a iris \u101f\u102f\u1001\u1031\u102b\u103a\u101e\u1031\u102c built-in R \u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1024 syntax \u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1000\u103b\u1000\u103b \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038 \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1000\u102d\u102f \u1015\u1031\u1038\u101e\u100a\u103a \u104b #view first six rows of iris dataset head(iris) Sepal.Length Sepal.Width Petal.Length Petal.Width Species 1 5.1 3.5 1.4 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"\nggplot2 \u1010\u103d\u1004\u103a \u1021\u1001\u103b\u1000\u103a\u1021\u101c\u102d\u102f\u1000\u103a \u1021\u101b\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038 \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1014\u100a\u103a\u1038 (\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030)<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a ggplot2 \u1010\u103d\u1004\u103a \u1021\u101b\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1021\u101c\u102d\u102f\u1000\u103a 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