{"id":480,"date":"2023-07-29T18:32:36","date_gmt":"2023-07-29T18:32:36","guid":{"rendered":"https:\/\/statorials.org\/my\/lollipop-r-%e1%80%82%e1%80%9b%e1%80%95%e1%80%ba%e1%80%96%e1%80%85%e1%80%ba\/"},"modified":"2023-07-29T18:32:36","modified_gmt":"2023-07-29T18:32:36","slug":"lollipop-r-%e1%80%82%e1%80%9b%e1%80%95%e1%80%ba%e1%80%96%e1%80%85%e1%80%ba","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/lollipop-r-%e1%80%82%e1%80%9b%e1%80%95%e1%80%ba%e1%80%96%e1%80%85%e1%80%ba\/","title":{"rendered":"R \u1016\u103c\u1004\u1037\u103a lollipop chart \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038"},"content":{"rendered":"

<\/p>\n

\n

\u1018\u102c\u1038\u1007\u101a\u102c\u1038\u1014\u103e\u1004\u1037\u103a\u1006\u1004\u103a\u1010\u1030\u101e\u100a\u103a\u104a \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1021\u101c\u102d\u102f\u1000\u103a \u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u104f \u1021\u101b\u1031\u1021\u1010\u103d\u1000\u103a\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a lollipop \u1007\u101a\u102c\u1038<\/strong> \u101e\u100a\u103a \u1021\u101e\u102f\u1036\u1038\u101d\u1004\u103a\u101e\u100a\u103a\u104b \u1018\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1019\u100a\u1037\u103a\u1021\u1005\u102c\u1038\u104a lollipop \u1007\u101a\u102c\u1038\u101e\u100a\u103a \u1021\u101b\u1031\u1021\u1010\u103d\u1000\u103a\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1000\u102d\u102f\u101a\u103a\u1005\u102c\u1038\u1015\u103c\u102f\u101b\u1014\u103a \u1021\u1006\u102f\u1036\u1038\u1010\u103d\u1004\u103a \u1005\u1000\u103a\u101d\u102d\u102f\u1004\u103a\u1038\u1019\u103b\u102c\u1038\u1015\u102b\u101e\u1031\u102c \u101c\u102d\u102f\u1004\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u100a\u103a\u104b<\/span><\/p>\n

lollipop \u1007\u101a\u102c\u1038\u101e\u100a\u103a \u1007\u101a\u102c\u1038\u1015\u1031\u102b\u103a\u101b\u103e\u102d \u1021\u101b\u1031\u102c\u1004\u103a\u1015\u1019\u102c\u100f\u1000\u102d\u102f \u101c\u103b\u103e\u1031\u102c\u1037\u1001\u103b\u1015\u103c\u102e\u1038 \u1007\u101a\u102c\u1038\u101b\u103e\u102d \u1005\u102c\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1019\u103b\u102c\u1038 \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1021\u1001\u103c\u102c\u1038\u1002\u101b\u1015\u103a\u1016\u1005\u103a\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a \u1006\u1014\u1037\u103a\u1000\u103b\u1004\u103a\u101e\u100a\u1037\u103a\u1021\u1014\u1031\u1016\u103c\u1004\u1037\u103a \u1007\u101a\u102c\u1038\u1015\u1031\u102b\u103a\u101b\u103e\u102d \u1021\u1019\u103e\u1014\u103a\u1010\u1000\u101a\u103a\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1005\u102c\u1016\u1010\u103a\u101e\u1030\u104f\u1021\u102c\u101b\u102f\u1036\u1005\u1030\u1038\u1005\u102d\u102f\u1000\u103a\u1019\u103e\u102f\u1000\u102d\u102f \u1021\u102c\u101b\u102f\u1036\u1005\u102d\u102f\u1000\u103a\u1014\u1031\u1001\u103b\u102d\u1014\u103a\u1010\u103d\u1004\u103a \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1000\u102d\u102f \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u101b\u1014\u103a \u1021\u1000\u1031\u102c\u1004\u103a\u1038\u1006\u102f\u1036\u1038\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b \u101c\u1030\u1010\u1031\u102c\u103a\u1010\u1031\u102c\u103a\u1019\u103b\u102c\u1038\u1019\u103b\u102c\u1038\u1000 lollipop board \u1000\u102d\u102f \u1021\u101c\u103e\u1010\u101b\u102c\u1038\u101c\u102d\u102f\u1037 \u1011\u1004\u103a\u1019\u103c\u1004\u103a\u101a\u1030\u1006\u1000\u103c\u1015\u102b\u1010\u101a\u103a\u104b<\/span><\/p>\n

\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a\u104a \u1021\u1031\u102c\u1000\u103a\u1015\u102b lollipop \u1007\u101a\u102c\u1038\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a \u101c\u102d\u102f\u1021\u1015\u103a\u101e\u1031\u102c \u1021\u1006\u1004\u1037\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u103c\u1010\u103a\u101e\u1014\u103a\u1038\u1015\u102b\u1019\u100a\u103a\u104b<\/span><\/p>\n

\u1025\u1015\u1019\u102c- R \u1010\u103d\u1004\u103a Lollipop \u1007\u101a\u102c\u1038<\/strong><\/span><\/h2>\n

\u1024\u1025\u1015\u1019\u102c\u1021\u1010\u103d\u1000\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a mtcars<\/strong> built-in R dataset \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1015\u102b\u1019\u100a\u103a-<\/span><\/p>\n

 #view first six rows of mtcars\n<\/em><\/span>head(mtcars)\n<\/strong><\/pre>\n
<\/h3>\n
 \u1021\u1001\u103c\u1031\u1001\u1036 lollipop \u1007\u101a\u102c\u1038<\/strong><\/span><\/h2>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b \u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1019\u100a\u103a\u1000\u1032\u1037\u101e\u102d\u102f\u1037 \u1016\u103c\u1005\u103a\u101e\u100a\u103a\u1000\u102d\u102f \u1016\u1031\u102c\u103a\u1015\u103c\u101e\u100a\u103a\u104b  <\/strong> \u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u101b\u103e\u102d \u1000\u102c\u1038 \u1043\u1042 \u1005\u102e\u1038\u1005\u102e\u104f mpg<\/em> (\u1010\u1005\u103a\u1002\u102b\u101c\u1036\u101c\u103b\u103e\u1004\u103a \u1019\u102d\u102f\u1004\u103a) \u1000\u102d\u102f \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u101b\u1014\u103a lollipop \u1007\u101a\u102c\u1038\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a\u104b<\/span><\/p>\n
 \u1000\u102c\u1038\u1021\u1019\u100a\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u104f \u1021\u1010\u1014\u103a\u1038\u1021\u1019\u100a\u103a\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1011\u102c\u1038\u101e\u100a\u103a\u104a \u1011\u102d\u102f\u1037\u1000\u103c\u1031\u102c\u1004\u1037\u103a \u1024\u1021\u1010\u1014\u103a\u1038\u1021\u1019\u100a\u103a\u1019\u103b\u102c\u1038\u1015\u102b\u101b\u103e\u102d\u101e\u1031\u102c \u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u101e\u1005\u103a\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1015\u1011\u1019\u1006\u102f\u1036\u1038 \u1016\u1014\u103a\u1010\u102e\u1038\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1011\u102d\u102f\u1037\u1014\u1031\u102c\u1000\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a lollipop \u1007\u101a\u102c\u1038\u1000\u102d\u102f\u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1019\u100a\u1037\u103a ggplot2<\/strong> \u1005\u102c\u1000\u103c\u100a\u1037\u103a\u1010\u102d\u102f\u1000\u103a\u1000\u102d\u102f \u1010\u1004\u103a\u1015\u102b\u104b<\/span><\/p>\n
 ggplot2 \u1016\u103c\u1004\u1037\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u1015\u1031\u102b\u103a\u101b\u103e\u102d \u1005\u102c\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a geom_segment \u1000\u102d\u102f<\/strong> \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102b\u101e\u100a\u103a\u104b \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1021\u1005\u1014\u103e\u1004\u1037\u103a\u1021\u1006\u102f\u1036\u1038 x \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f 0<\/em> \u1014\u103e\u1004\u1037\u103a mpg<\/em> \u1021\u1016\u103c\u1005\u103a \u1021\u101e\u102e\u1038\u101e\u102e\u1038\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1011\u102c\u1038\u101e\u100a\u103a\u104b \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1021\u1005\u1014\u103e\u1004\u1037\u103a\u1021\u1006\u102f\u1036\u1038 y \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f char<\/em> \u1021\u1016\u103c\u1005\u103a\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 #create new column for car names<\/span>\nmtcars$car <- row.names(mtcars)\n\n#load ggplot2<\/em> library<\/span>\nlibrary(ggplot2)\n\n#create lollipop chart<\/span>\nggplot(mtcars, aes(x = mpg, y = car)) +\n        geom_segment(aes(x = 0, y = car, xend = mpg, yend = car)) +\n        geom_point()<\/strong><\/pre>\n
 \u1010\u1036\u1006\u102d\u1015\u103a\u1019\u103b\u102c\u1038\u1011\u100a\u1037\u103a\u1001\u103c\u1004\u103a\u1038\u104b<\/strong><\/span><\/h2>\n
 \u1021\u100a\u103d\u103e\u1014\u103a\u1038<\/strong> \u1014\u103e\u1004\u1037\u103a geom_text<\/strong> \u1021\u1004\u103c\u1004\u103a\u1038\u1021\u1001\u102f\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1007\u101a\u102c\u1038\u1010\u103d\u1004\u103a \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u101c\u100a\u103a\u1038 \u1011\u100a\u1037\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n
 ggplot(mtcars, aes(x = mpg, y = car, label = mpg<\/span> )) +\n        geom_segment(aes(x = 0, y = car, xend = mpg, yend = car)) +\n        geom_point() +\n        geom_text(nudge_x = 1.5)<\/span><\/strong><\/pre>\n
 \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1005\u102c\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u104f\u1021\u1006\u102f\u1036\u1038\u1010\u103d\u1004\u103a \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1011\u102c\u1038\u1019\u100a\u1037\u103a\u1021\u1005\u102c\u1038\u104a \u104e\u1004\u103a\u1038\u1010\u102d\u102f\u1037\u1000\u102d\u102f \u1005\u1000\u103a\u101d\u102d\u102f\u1004\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u102d\u102f\u1000\u103c\u102e\u1038\u1005\u1031\u1015\u103c\u102e\u1038 \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u104f\u1016\u1031\u102c\u1004\u1037\u103a\u1021\u101b\u1031\u102c\u1004\u103a\u1000\u102d\u102f \u1021\u1016\u103c\u1030\u101b\u1031\u102c\u1004\u103a\u1021\u1016\u103c\u1005\u103a \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1001\u103c\u1004\u103a\u1038\u1016\u103c\u1004\u1037\u103a \u104e\u1004\u103a\u1038\u1010\u102d\u102f\u1037\u1000\u102d\u102f \u1005\u1000\u103a\u101d\u102d\u102f\u1004\u103a\u1038\u1021\u1010\u103d\u1004\u103a\u1038\u1010\u103d\u1004\u103a \u1011\u102c\u1038\u101b\u103e\u102d\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n
 ggplot(mtcars, aes(x = mpg, y = car, label = mpg)) +\n        geom_segment(aes(x = 0, y = car, xend = mpg, yend = car)) +\n        geom_point( size = 7<\/span> ) +\n        geom_text( color = 'white', size = 2<\/span> )<\/strong><\/pre>\n
 \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1015\u102b\u104b<\/strong><\/span><\/h2>\n
 \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101e\u102e\u1038\u1001\u103c\u102c\u1038\u1014\u1036\u1015\u102b\u1010\u103a\u1010\u1005\u103a\u1001\u102f\u1014\u103e\u1004\u1037\u103a \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u101b\u1014\u103a lollipop \u1007\u101a\u102c\u1038\u1000\u102d\u102f\u101c\u100a\u103a\u1038 \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b \u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1010\u103d\u1004\u103a \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e mpg<\/em> \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037 \u101b\u103e\u102c\u1016\u103d\u1031\u1014\u102d\u102f\u1004\u103a\u1015\u103c\u102e\u1038 \u1000\u102c\u1038\u1010\u1005\u103a\u1005\u102e\u1038\u1005\u102e\u104f \u1005\u102d\u102f\u1004\u103a\u1038\u1005\u102d\u102f\u1004\u103a\u1038\u1001\u1019\u103a\u1038\u101c\u103e\u102d\u102f\u1004\u103a<\/em> \u1000\u102d\u102f \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1014\u103e\u1004\u1037\u103a \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e mpg<\/em> \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1000\u102d\u102f \u101b\u103e\u102c\u1016\u103d\u1031\u101b\u1014\u103a dplyr<\/strong> \u1005\u102c\u1000\u103c\u100a\u1037\u103a\u1010\u102d\u102f\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u103c\u102e\u1038 \u1000\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f mpg \u104f<\/em> \u1004\u101a\u103a\u1005\u1009\u103a\u1000\u103c\u102e\u1038\u101c\u102d\u102f\u1000\u103a\u1016\u103c\u1004\u1037\u103a \u1005\u102e\u1005\u1009\u103a\u1015\u1031\u1038\u101e\u100a\u103a \u104b<\/span><\/p>\n
 #load library dplyr\n<\/em><\/span>library(dplyr)\n\n#find mean value of mpg<\/em> and arrange cars in order by mpg<\/em> descending<\/span>\nmtcars_new <- mtcars %>%\n                arrange(mpg) %>%\n                mutate(mean_mpg = mean(mpg),\n                       flag = ifelse(mpg - mean_mpg > 0, TRUE, FALSE),\n                       car = factor(car, levels = .$car))\n\n#view first six rows of mtcars_new\n<\/em>head(mtcars_new)\n<\/span><\/span><\/strong><\/pre>\n
 \u1011\u102d\u102f\u1037\u1014\u1031\u102c\u1000\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1005\u1000\u103a\u101d\u102d\u102f\u1004\u103a\u1038\u104f\u1021\u101b\u1031\u102c\u1004\u103a\u1000\u102d\u102f \u1021\u101c\u1036<\/em> \u1010\u1014\u103a\u1016\u102d\u102f\u1038 (\u1024\u1000\u102d\u1005\u1039\u1005\u1010\u103d\u1004\u103a TRUE \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a FALSE) \u1014\u103e\u1004\u1037\u103a \u100a\u102e\u1019\u103b\u103e\u1005\u1031\u101b\u1014\u103a \u1005\u1000\u103a\u101d\u102d\u102f\u1004\u103a\u1038\u1021\u101b\u1031\u102c\u1004\u103a\u1000\u102d\u102f \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1000\u102c \u1000\u102c\u1038\u1010\u1005\u103a\u1005\u102e\u1038\u1005\u102e\u1021\u1010\u103d\u1000\u103a \u1005\u1010\u1004\u103a\u101e\u100a\u1037\u103a x \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u101e\u100a\u103a \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e mpg<\/em> \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1014\u103e\u1004\u1037\u103a \u100a\u102e\u1019\u103b\u103e\u1005\u1031\u101b\u1014\u103a \u1016\u1014\u103a\u1010\u102e\u1038\u1015\u1031\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n
 ggplot(mtcars_new, aes(x = mpg, y = car, color = flag<\/span> )) +\n        geom_segment(aes( x = mean_mpg<\/span> , y = car, xend = mpg, yend = car)) +\n        geom_point()<\/strong><\/pre>\n
 \u1024\u1021\u101b\u1031\u102c\u1004\u103a palette \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1019\u100a\u103a\u101e\u100a\u1037\u103a\u1000\u102c\u1038\u1019\u103b\u102c\u1038\u101e\u100a\u103a dataset \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1011\u1000\u103a MPg<\/em> \u1014\u102d\u1019\u1037\u103a\u1015\u103c\u102e\u1038 \u1015\u102d\u102f\u1019\u103c\u1004\u1037\u103a\u101e\u100a\u103a\u1000\u102d\u102f \u1021\u101c\u103d\u101a\u103a\u1010\u1000\u1030 \u1006\u102f\u1036\u1038\u1016\u103c\u1010\u103a\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1019\u1030\u101b\u1004\u103a\u1038\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a R \u101e\u100a\u103a \u104e\u1004\u103a\u1038\u104f\u1000\u102c\u1038\u1001\u103b\u1015\u103a\u1021\u101b\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038\u1021\u1016\u103c\u1005\u103a \u1021\u1015\u103c\u102c\u1014\u103e\u1004\u1037\u103a \u1021\u1014\u102e\u101b\u1031\u102c\u1004\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u100a\u103a\u104b \u101e\u102d\u102f\u1037\u101e\u1031\u102c\u103a\u104a scale_color_manual<\/strong> argument \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037 \u101c\u102d\u102f\u1001\u103b\u1004\u103a\u101e\u100a\u1037\u103a \u1019\u100a\u103a\u101e\u100a\u1037\u103a\u1021\u101b\u1031\u102c\u1004\u103a\u1019\u1006\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 ggplot(mtcars_new, aes(x = mpg, y = car, color = flag)) +\n        geom_segment(aes(x = mean_mpg, y = car, xend = mpg, yend = car)) +\n        geom_point() +\n        scale_color_manual(values = c(\"purple\", \"blue\"))<\/span><\/strong><\/pre>\n
 \u1000\u102c\u1038\u1001\u103b\u1015\u103a\u1017\u1031\u1012\u1000\u102d\u102f \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1015\u102b\u104b<\/span><\/span><\/strong><\/h2>\n
 \u1014\u1031\u102c\u1000\u103a\u1006\u102f\u1036\u1038\u1010\u103d\u1004\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a ggplot2<\/strong> \u104f \u1000\u103b\u101a\u103a\u1015\u103c\u1014\u1037\u103a\u101e\u1031\u102c\u1005\u103d\u1019\u103a\u1038\u101b\u100a\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1000\u102c \u1007\u101a\u102c\u1038\u104f\u1021\u101c\u103e\u1010\u101b\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1011\u1015\u103a\u1019\u1036\u1019\u103d\u1019\u103a\u1038\u1019\u1036\u1000\u102c \u1015\u101b\u1031\u102c\u103a\u1016\u1000\u103a\u101b\u103e\u1004\u103a\u1014\u101a\u103a\u1015\u102f\u1036\u1005\u1036\u1016\u103c\u1004\u1037\u103a \u1014\u1031\u102c\u1000\u103a\u1006\u102f\u1036\u1038\u1011\u102f\u1010\u103a\u1000\u102f\u1014\u103a\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n
 ggplot(mtcars_new, aes(x = mpg, y = car, color = flag)) +\n        geom_segment(aes(x = mean_mpg, y = car, xend = mpg, yend = car), color = \"grey\") +\n        geom_point() +\n        annotate(\"text\", x = 27, y = 20, label = \"Above Average\", color = \"#00BFC4\", size = 3, hjust = -0.1, vjust = .75) +\n        annotate(\"text\", x = 27, y = 17, label = \"Below Average\", color = \"#F8766D\", size = 3, hjust = -0.1, vjust = -.1) +\n        geom_segment(aes(x = 26.5, xend = 26.5, y = 19, yend = 23),\n                     arrow = arrow(length = unit(0.2,\"cm\")), color = \"#00BFC4\") +\n        geom_segment(aes(x = 26.5, xend = 26.5, y = 18, yend = 14),\n                     arrow = arrow(length = unit(0.2,\"cm\")), color = \"#F8766D\") +\n        labs(title = \"Miles per Gallon by Car\") +\n        theme_minimal() +\n        theme(axis.title = element_blank(),\n              panel.grid.minor = element_blank(),\n              legend.position = \"none\",\n              text = element_text(family = \"Georgia\"),\n              axis.text.y = element_text(size = 8),\n              plot.title = element_text(size = 20, margin = margin(b = 10), hjust = 0),\n              plot.subtitle = element_text(size = 12, color = \"darkslategrey\", margin = margin(b = 25, l = -25)),\n              plot.caption = element_text(size = 8, margin = margin(t = 10), color = \"grey70\", hjust = 0))<\/strong><\/pre>\n","protected":false},"excerpt":{"rendered":"
\u1018\u102c\u1038\u1007\u101a\u102c\u1038\u1014\u103e\u1004\u1037\u103a\u1006\u1004\u103a\u1010\u1030\u101e\u100a\u103a\u104a \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1021\u101c\u102d\u102f\u1000\u103a \u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u104f \u1021\u101b\u1031\u1021\u1010\u103d\u1000\u103a\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a lollipop \u1007\u101a\u102c\u1038 \u101e\u100a\u103a \u1021\u101e\u102f\u1036\u1038\u101d\u1004\u103a\u101e\u100a\u103a\u104b \u1018\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1019\u100a\u1037\u103a\u1021\u1005\u102c\u1038\u104a lollipop \u1007\u101a\u102c\u1038\u101e\u100a\u103a \u1021\u101b\u1031\u1021\u1010\u103d\u1000\u103a\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1000\u102d\u102f\u101a\u103a\u1005\u102c\u1038\u1015\u103c\u102f\u101b\u1014\u103a \u1021\u1006\u102f\u1036\u1038\u1010\u103d\u1004\u103a \u1005\u1000\u103a\u101d\u102d\u102f\u1004\u103a\u1038\u1019\u103b\u102c\u1038\u1015\u102b\u101e\u1031\u102c \u101c\u102d\u102f\u1004\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u100a\u103a\u104b lollipop \u1007\u101a\u102c\u1038\u101e\u100a\u103a \u1007\u101a\u102c\u1038\u1015\u1031\u102b\u103a\u101b\u103e\u102d \u1021\u101b\u1031\u102c\u1004\u103a\u1015\u1019\u102c\u100f\u1000\u102d\u102f \u101c\u103b\u103e\u1031\u102c\u1037\u1001\u103b\u1015\u103c\u102e\u1038 \u1007\u101a\u102c\u1038\u101b\u103e\u102d \u1005\u102c\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1019\u103b\u102c\u1038 \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1021\u1001\u103c\u102c\u1038\u1002\u101b\u1015\u103a\u1016\u1005\u103a\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a \u1006\u1014\u1037\u103a\u1000\u103b\u1004\u103a\u101e\u100a\u1037\u103a\u1021\u1014\u1031\u1016\u103c\u1004\u1037\u103a \u1007\u101a\u102c\u1038\u1015\u1031\u102b\u103a\u101b\u103e\u102d \u1021\u1019\u103e\u1014\u103a\u1010\u1000\u101a\u103a\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1005\u102c\u1016\u1010\u103a\u101e\u1030\u104f\u1021\u102c\u101b\u102f\u1036\u1005\u1030\u1038\u1005\u102d\u102f\u1000\u103a\u1019\u103e\u102f\u1000\u102d\u102f \u1021\u102c\u101b\u102f\u1036\u1005\u102d\u102f\u1000\u103a\u1014\u1031\u1001\u103b\u102d\u1014\u103a\u1010\u103d\u1004\u103a \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1000\u102d\u102f \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u101b\u1014\u103a \u1021\u1000\u1031\u102c\u1004\u103a\u1038\u1006\u102f\u1036\u1038\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b \u101c\u1030\u1010\u1031\u102c\u103a\u1010\u1031\u102c\u103a\u1019\u103b\u102c\u1038\u1019\u103b\u102c\u1038\u1000 lollipop board \u1000\u102d\u102f \u1021\u101c\u103e\u1010\u101b\u102c\u1038\u101c\u102d\u102f\u1037 \u1011\u1004\u103a\u1019\u103c\u1004\u103a\u101a\u1030\u1006\u1000\u103c\u1015\u102b\u1010\u101a\u103a\u104b \u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a\u104a \u1021\u1031\u102c\u1000\u103a\u1015\u102b lollipop \u1007\u101a\u102c\u1038\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a \u101c\u102d\u102f\u1021\u1015\u103a\u101e\u1031\u102c \u1021\u1006\u1004\u1037\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u103c\u1010\u103a\u101e\u1014\u103a\u1038\u1015\u102b\u1019\u100a\u103a\u104b \u1025\u1015\u1019\u102c- R \u1010\u103d\u1004\u103a Lollipop \u1007\u101a\u102c\u1038 \u1024\u1025\u1015\u1019\u102c\u1021\u1010\u103d\u1000\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a mtcars […]<\/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":"\nR - Statorials \u1010\u103d\u1004\u103a lollipop \u1007\u101a\u102c\u1038\u1000\u102d\u102f\u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a R \u1016\u103c\u1004\u1037\u103a lollipop \u1007\u101a\u102c\u1038\u1000\u102d\u102f \u1021\u101c\u103d\u101a\u103a\u1010\u1000\u1030\u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f 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