{"id":466,"date":"2023-07-29T19:48:38","date_gmt":"2023-07-29T19:48:38","guid":{"rendered":"https:\/\/statorials.org\/my\/gantt-%e1%80%87%e1%80%9a%e1%80%ac%e1%80%b8-r-ggplot2\/"},"modified":"2023-07-29T19:48:38","modified_gmt":"2023-07-29T19:48:38","slug":"gantt-%e1%80%87%e1%80%9a%e1%80%ac%e1%80%b8-r-ggplot2","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/gantt-%e1%80%87%e1%80%9a%e1%80%ac%e1%80%b8-r-ggplot2\/","title":{"rendered":"Ggplot2 \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d r \u1010\u103d\u1004\u103a gantt chart \u1000\u102d\u102f\u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038"},"content":{"rendered":"

<\/p>\n

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Gantt \u1007\u101a\u102c\u1038<\/strong> \u101e\u100a\u103a \u1021\u1019\u103b\u102d\u102f\u1038\u1019\u103b\u102d\u102f\u1038\u101e\u1031\u102c \u1015\u103d\u1032\u1019\u103b\u102c\u1038\u104f \u1021\u1005\u1014\u103e\u1004\u1037\u103a \u1021\u1006\u102f\u1036\u1038\u1021\u1001\u103b\u102d\u1014\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u1037\u103a \u1007\u101a\u102c\u1038\u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n

\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a ggplot2<\/strong> \u1021\u1011\u102f\u1015\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d R \u1010\u103d\u1004\u103a Gantt \u1007\u101a\u102c\u1038\u1000\u102d\u102f\u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n

ggplot2 \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d R \u1010\u103d\u1004\u103a Gantt \u1007\u101a\u102c\u1038\u1000\u102d\u102f\u1016\u1014\u103a\u1010\u102e\u1038\u1001\u103c\u1004\u103a\u1038\u104b<\/strong><\/span><\/h2>\n

\u1005\u1010\u102d\u102f\u1038\u1006\u102d\u102f\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u1010\u103d\u1004\u103a \u1019\u1010\u1030\u100a\u102e\u101e\u1031\u102c \u1021\u101c\u102f\u1015\u103a\u101e\u1019\u102c\u1038\u1021\u1006\u102d\u102f\u1004\u103a\u1038 \u101c\u1031\u1038\u1001\u102f\u104f \u1021\u1005\u1014\u103e\u1004\u1037\u103a \u1000\u102f\u1014\u103a\u1006\u102f\u1036\u1038\u1001\u103b\u102d\u1014\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u1037\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1012\u1031\u1010\u102c\u1021\u1005\u102f\u1036\u101b\u103e\u102d\u101e\u100a\u103a \u1006\u102d\u102f\u1000\u103c\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n

 #create data frame<\/span>\ndata <- data.frame(name = c('Bob', 'Greg', 'Mike', 'Andy'), \nstart = c(4, 7, 12, 16),\nend = c(12, 11, 8, 22),\nshift_type = c('early', 'mid_day', 'mid_day', 'late')\n)\ndata\n\n# name start end shift_type\n#1 Bob 4 12 early\n#2 Greg 7 11 mid_day\n#3 Mike 12 8 mid_day\n#4 Andy 16 22 late<\/strong><\/pre>\n
 \u1021\u101c\u102f\u1015\u103a\u101e\u1019\u102c\u1038\u1010\u1005\u103a\u1026\u1038\u1005\u102e\u104f \u1021\u1005\u1014\u103e\u1004\u1037\u103a \u1015\u103c\u102e\u1038\u1006\u102f\u1036\u1038\u1001\u103b\u102d\u1014\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u103c\u1004\u103a\u101e\u102c\u1005\u1031\u101e\u100a\u1037\u103a ggplot2 \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d Gantt \u1007\u101a\u102c\u1038\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 #install (if not already installed) and load ggplot2<\/span>\nif(!require(ggplot2)){install.packages('ggplot2')}\n\n#create gantt chart that visualizes start and end time for each worker<\/span>\nggplot(data, aes(x=start, xend=end, y=name, yend=name, color=shift_type)) +\n  geom_segment()\n<\/strong><\/pre>\n
 \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b Gantt \u1007\u101a\u102c\u1038\u1000\u102d\u102f \u1011\u102f\u1010\u103a\u101c\u102f\u1015\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1021\u1015\u103c\u1004\u103a\u1021\u1006\u1004\u103a\u1000\u102d\u102f \u1015\u103c\u102f\u1015\u103c\u1004\u103a\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1019\u103e\u102f\u1021\u1014\u100a\u103a\u1038\u1004\u101a\u103a\u1016\u103c\u1004\u1037\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1024 Gantt \u1007\u101a\u102c\u1038\u1000\u102d\u102f \u1015\u102d\u102f\u1019\u102d\u102f\u1000\u103c\u100a\u1037\u103a\u1000\u1031\u102c\u1004\u103a\u1038\u1021\u1031\u102c\u1004\u103a \u1015\u103c\u102f\u101c\u102f\u1015\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n
 ggplot(data, aes(x=start, xend=end, y=name, yend=name, color=shift_type)) +<\/strong>\ntheme_bw()+ #use ggplot theme with black gridlines and white background<\/span><\/strong>\ngeom_segment(size=8) + #increase line width of segments in the chart<\/span><\/strong>\nlabs(title='Worker Schedule', x='Time', y='Worker Name')<\/strong><\/pre>\n
 \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1002\u101b\u1015\u103a\u1000\u102d\u102f \u1011\u102f\u1010\u103a\u1015\u1031\u1038\u101e\u100a\u103a-<\/span><\/p>\n
 \u1011\u102d\u102f\u1037\u1021\u1015\u103c\u1004\u103a\u104a \u101e\u1004\u103a\u101e\u100a\u103a \u1007\u101a\u102c\u1038\u1010\u103d\u1004\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1014\u103a \u1021\u1010\u102d\u1021\u1000\u103b\u1021\u101b\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101c\u102d\u102f\u1015\u102b\u1000 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 ggplot(data, aes(x=start, xend=end, y=name, yend=name, color=shift_type)) +\n  theme_bw()+ #use ggplot theme with black gridlines and white background<\/span>\n  geom_segment(size=8) + #increase line width of segments in the chart<\/span>\n  labs(title='Worker Schedule', x='Time', y='Worker Name') +\n  scale_color_manual(values = c('pink', 'purple', 'blue'))<\/strong><\/pre>\n
 \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1019\u1010\u1030\u100a\u102e\u101e\u1031\u102c\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u1019\u103e\u102f\u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1000\u102d\u102f\u101a\u103a\u1005\u102c\u1038\u1015\u103c\u102f\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a \u1015\u1014\u103a\u1038\u101b\u1031\u102c\u1004\u103a\u104a \u1001\u101b\u1019\u103a\u1038\u101b\u1031\u102c\u1004\u103a\u1014\u103e\u1004\u1037\u103a \u1021\u1015\u103c\u102c\u101b\u1031\u102c\u1004\u103a\u1010\u102d\u102f\u1037\u1016\u103c\u1004\u1037\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1002\u101b\u1015\u103a\u1000\u102d\u102f \u1011\u102f\u1010\u103a\u101c\u102f\u1015\u103a\u1015\u1031\u1038\u101e\u100a\u103a-<\/span><\/p>\n
 \u1005\u102d\u1010\u103a\u1000\u103c\u102d\u102f\u1000\u103a \u1021\u1015\u103c\u1004\u103a\u1021\u1006\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101e\u102f\u1036\u1038\u1015\u102b\u104b<\/strong><\/span><\/h2>\n
 ggthemes \u1012\u1005\u103a\u1002\u103b\u1005\u103a<\/strong><\/a> \u1010\u102d\u102f\u1000\u103a\u1019\u103e \u1005\u102d\u1010\u103a\u1000\u103c\u102d\u102f\u1000\u103a \u1021\u1015\u103c\u1004\u103a\u1021\u1006\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037 \u101b\u103e\u1031\u1037\u1006\u1000\u103a\u101e\u103d\u102c\u1038\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a Wall Street Journal \u1019\u103e\u102f\u1010\u103a\u101e\u103d\u1004\u103a\u1038\u1011\u102c\u1038\u101e\u1031\u102c \u1021\u1015\u103c\u1004\u103a\u1021\u1006\u1004\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u100a\u1037\u103a Gantt \u1007\u101a\u102c\u1038\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n
 #load ggthemes<\/em> library<\/span>\nlibrary(ggthemes)\n\n#create scatterplot with Wall Street Journal theme\n<\/span>ggplot(data, aes(x=start, xend=end, y=name, yend=name, color=shift_type)) +\n  theme_bw()+\n  geom_segment(size=8) +\n  labs(title='Worker Schedule', x='Time', y='Worker Name') +\n  scale_color_manual(values = c('pink', 'purple', 'blue')) +\n  theme_wsj() + \n  theme(axis.title = element_text())<\/span><\/strong><\/pre>\n
 \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a The Economist \u1019\u103e \u101c\u103e\u102f\u1036\u1037\u1006\u1031\u102c\u103a\u1015\u1031\u1038\u101e\u1031\u102c \u1006\u1031\u102c\u1004\u103a\u1015\u102f\u1012\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 ggplot(data, aes(x=start, xend=end, y=name, yend=name, color=shift_type)) +\n  theme_bw()+\n  geom_segment(size=8) +\n  labs(title='Worker Schedule', x='Time', y='Worker Name') +\n  scale_color_manual(values = c('pink', 'purple', 'blue')) +\n  theme_economist() + \n  theme(axis.title = element_text())<\/span><\/strong><\/pre>\n
 \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a Five thirty Eight<\/a> \u1019\u103e\u102f\u1010\u103a\u101e\u103d\u1004\u103a\u1038\u1011\u102c\u1038\u101e\u1031\u102c theme \u1016\u103c\u1005\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n
 ggplot(data, aes(x=start, xend=end, y=name, yend=name, color=shift_type)) +\n  theme_bw()+\n  geom_segment(size=8) +\n  labs(title='Worker Schedule', x='Time', y='Worker Name') +\n  scale_color_manual(values = c('pink', 'purple', 'blue')) +\n  theme_fivethirtyeight() + \n  theme(axis.title = element_text())<\/span><\/strong><\/pre>\n
 ggthemes \u1012\u1005\u103a<\/em> \u1002\u103b\u1005\u103a\u1010\u102d\u102f\u1000\u103a\u1010\u103d\u1004\u103a\u101b\u101b\u103e\u102d\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u1037\u103a \u1021\u1015\u103c\u1004\u103a\u1021\u1006\u1004\u103a\u1019\u103b\u102c\u1038\u1005\u102c\u101b\u1004\u103a\u1038\u1021\u1015\u103c\u100a\u1037\u103a\u1021\u1005\u102f\u1036\u1021\u1010\u103d\u1000\u103a\u104a \u1005\u102c\u101b\u103d\u1000\u103a\u1005\u102c\u1010\u1019\u103a\u1038\u1005\u102c\u1019\u103b\u1000\u103a\u1014\u103e\u102c\u1000\u102d\u102f<\/a> \u1000\u103c\u100a\u1037\u103a\u1015\u102b\u104b<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
Gantt \u1007\u101a\u102c\u1038 \u101e\u100a\u103a \u1021\u1019\u103b\u102d\u102f\u1038\u1019\u103b\u102d\u102f\u1038\u101e\u1031\u102c \u1015\u103d\u1032\u1019\u103b\u102c\u1038\u104f \u1021\u1005\u1014\u103e\u1004\u1037\u103a \u1021\u1006\u102f\u1036\u1038\u1021\u1001\u103b\u102d\u1014\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u1037\u103a \u1007\u101a\u102c\u1038\u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b \u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a ggplot2 \u1021\u1011\u102f\u1015\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d R \u1010\u103d\u1004\u103a Gantt \u1007\u101a\u102c\u1038\u1000\u102d\u102f\u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b ggplot2 \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d R \u1010\u103d\u1004\u103a Gantt \u1007\u101a\u102c\u1038\u1000\u102d\u102f\u1016\u1014\u103a\u1010\u102e\u1038\u1001\u103c\u1004\u103a\u1038\u104b \u1005\u1010\u102d\u102f\u1038\u1006\u102d\u102f\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u1010\u103d\u1004\u103a \u1019\u1010\u1030\u100a\u102e\u101e\u1031\u102c \u1021\u101c\u102f\u1015\u103a\u101e\u1019\u102c\u1038\u1021\u1006\u102d\u102f\u1004\u103a\u1038 \u101c\u1031\u1038\u1001\u102f\u104f \u1021\u1005\u1014\u103e\u1004\u1037\u103a \u1000\u102f\u1014\u103a\u1006\u102f\u1036\u1038\u1001\u103b\u102d\u1014\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u1037\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1012\u1031\u1010\u102c\u1021\u1005\u102f\u1036\u101b\u103e\u102d\u101e\u100a\u103a \u1006\u102d\u102f\u1000\u103c\u1015\u102b\u1005\u102d\u102f\u1037\u104b #create data frame data <- data.frame(name = c(‘Bob’, ‘Greg’, ‘Mike’, ‘Andy’), start = c(4, 7, 12, 16), end = c(12, 11, […]<\/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 - Statology \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d R \u1010\u103d\u1004\u103a Gantt Chart \u1000\u102d\u102f\u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038<\/title>\n<meta name=\"description\" content=\"ggplot2 \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d R \u1010\u103d\u1004\u103a Gantt \u1007\u101a\u102c\u1038\u1000\u102d\u102f\u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038 \u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u101e\u1031\u102c\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u104b\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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