{"id":465,"date":"2023-07-29T19:48:38","date_gmt":"2023-07-29T19:48:38","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d9%85%d8%ae%d8%b7%d8%b7-%d8%ac%d8%a7%d9%86%d8%aa-%d8%b5-ggplot2\/"},"modified":"2023-07-29T19:48:38","modified_gmt":"2023-07-29T19:48:38","slug":"%d9%85%d8%ae%d8%b7%d8%b7-%d8%ac%d8%a7%d9%86%d8%aa-%d8%b5-ggplot2","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d9%85%d8%ae%d8%b7%d8%b7-%d8%ac%d8%a7%d9%86%d8%aa-%d8%b5-ggplot2\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u062c\u0627\u0646\u062a \u0641\u064a r \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 ggplot2"},"content":{"rendered":"

<\/p>\n

\n

\u0645\u062e\u0637\u0637 \u062c\u0627\u0646\u062a<\/strong> \u0647\u0648 \u0646\u0648\u0639 \u0645\u0646 \u0627\u0644\u0645\u062e\u0637\u0637\u0627\u062a \u0627\u0644\u062a\u064a \u062a\u0639\u0631\u0636 \u0623\u0648\u0642\u0627\u062a \u0627\u0644\u0628\u062f\u0627\u064a\u0629 \u0648\u0627\u0644\u0646\u0647\u0627\u064a\u0629 \u0644\u0644\u0623\u062d\u062f\u0627\u062b \u0627\u0644\u0645\u062e\u062a\u0644\u0641\u0629.<\/span><\/p>\n

\u064a\u0634\u0631\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u062c\u0627\u0646\u062a \u0641\u064a R \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u062d\u0632\u0645\u0629 ggplot2<\/strong> .<\/span><\/p>\n

\u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u062c\u0627\u0646\u062a \u0641\u064a R \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 ggplot2<\/strong><\/span><\/h2>\n

\u0644\u0646\u0641\u062a\u0631\u0636 \u0623\u0646 \u0644\u062f\u064a\u0646\u0627 \u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0627\u0644\u062a\u064a \u062a\u0648\u0636\u062d \u0623\u0648\u0642\u0627\u062a \u0627\u0644\u0628\u062f\u0621 \u0648\u0627\u0644\u0627\u0646\u062a\u0647\u0627\u0621 \u0644\u0623\u0631\u0628\u0639 \u0646\u0648\u0628\u0627\u062a \u0639\u0645\u0644 \u0645\u062e\u062a\u0644\u0641\u0629 \u0644\u0644\u0639\u0645\u0627\u0644 \u0641\u064a \u0623\u062d\u062f \u0627\u0644\u0645\u062a\u0627\u062c\u0631:<\/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
 \u0645\u0646 \u0623\u062c\u0644 \u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u062c\u0627\u0646\u062a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 ggplot2 \u0627\u0644\u0630\u064a \u064a\u0635\u0648\u0631 \u0623\u0648\u0642\u0627\u062a \u0627\u0644\u0628\u062f\u0621 \u0648\u0627\u0644\u0627\u0646\u062a\u0647\u0627\u0621 \u0644\u0643\u0644 \u0639\u0627\u0645\u0644\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a:<\/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
 \u0648\u064a\u0646\u062a\u062c \u0639\u0646 \u0630\u0644\u0643 \u0645\u062e\u0637\u0637 \u062c\u0627\u0646\u062a \u0627\u0644\u062a\u0627\u0644\u064a:<\/span><\/p>\n
 \u0645\u0639 \u0628\u0639\u0636 \u0627\u0644\u062a\u0639\u062f\u064a\u0644\u0627\u062a \u0639\u0644\u0649 \u0627\u0644\u062a\u062e\u0637\u064a\u0637\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u0646 \u0646\u062c\u0639\u0644 \u0645\u062e\u0637\u0637 \u062c\u0627\u0646\u062a \u064a\u0628\u062f\u0648 \u0623\u0641\u0636\u0644 \u0628\u0643\u062b\u064a\u0631:<\/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
 \u0648\u064a\u0646\u062a\u062c \u0639\u0646 \u0630\u0644\u0643 \u0627\u0644\u0631\u0633\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u064a \u0627\u0644\u062a\u0627\u0644\u064a:<\/span><\/p>\n
 \u0628\u0627\u0644\u0625\u0636\u0627\u0641\u0629 \u0625\u0644\u0649 \u0630\u0644\u0643\u060c \u0625\u0630\u0627 \u0643\u0646\u062a \u062a\u0631\u064a\u062f \u062a\u0639\u064a\u064a\u0646 \u0627\u0644\u0623\u0644\u0648\u0627\u0646 \u0627\u0644\u062f\u0642\u064a\u0642\u0629 \u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0647\u0627 \u0641\u064a \u0627\u0644\u0645\u062e\u0637\u0637\u060c \u0641\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a:<\/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
 \u064a\u0646\u062a\u062c \u0639\u0646 \u0630\u0644\u0643 \u0627\u0644\u0631\u0633\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u064a \u0627\u0644\u062a\u0627\u0644\u064a \u0628\u0627\u0644\u0623\u0644\u0648\u0627\u0646 \u0627\u0644\u0648\u0631\u062f\u064a \u0648\u0627\u0644\u0623\u0631\u062c\u0648\u0627\u0646\u064a \u0648\u0627\u0644\u0623\u0632\u0631\u0642 \u0644\u062a\u0645\u062b\u064a\u0644 \u0623\u0646\u0648\u0627\u0639 \u0627\u0644\u0625\u0632\u0627\u062d\u0629 \u0627\u0644\u0645\u062e\u062a\u0644\u0641\u0629:<\/span><\/p>\n
 \u0627\u0633\u062a\u062e\u062f\u0645 \u0627\u0644\u0633\u0645\u0627\u062a \u0627\u0644\u0645\u062e\u0635\u0635\u0629<\/strong><\/span><\/h2>\n
 \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0644\u0645\u0636\u064a \u0642\u062f\u0645\u064b\u0627 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0633\u0645\u0627\u062a \u0627\u0644\u0645\u062e\u0635\u0635\u0629 \u0645\u0646 \u0645\u0643\u062a\u0628\u0629 ggthemes<\/strong><\/a> .<\/span><\/p>\n
 \u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u062c\u0627\u0646\u062a \u0627\u0644\u0630\u064a \u064a\u0633\u062a\u062e\u062f\u0645 \u0633\u0645\u0629 \u0645\u0633\u062a\u0648\u062d\u0627\u0629 \u0645\u0646 \u0635\u062d\u064a\u0641\u0629 \u0648\u0648\u0644 \u0633\u062a\u0631\u064a\u062a \u062c\u0648\u0631\u0646\u0627\u0644:<\/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
 \u0623\u0648 \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0648\u0636\u0648\u0639 \u0645\u0633\u062a\u0648\u062d\u0649 \u0645\u0646 \u0645\u062c\u0644\u0629 The Economist:<\/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
 \u0623\u0648 \u0631\u0628\u0645\u0627 \u0645\u0648\u0636\u0648\u0639 \u0645\u0633\u062a\u0648\u062d\u0649 \u0645\u0646 Five Thirty Eight<\/a> :<\/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
 \u0644\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0642\u0627\u0626\u0645\u0629 \u0643\u0627\u0645\u0644\u0629 \u0628\u0627\u0644\u0645\u0648\u0636\u0648\u0639\u0627\u062a \u0627\u0644\u0645\u062a\u0648\u0641\u0631\u0629 \u0641\u064a \u0645\u0643\u062a\u0628\u0629 ggthemes<\/em> \u060c \u0631\u0627\u062c\u0639 \u0635\u0641\u062d\u0629 \u0627\u0644\u0648\u062b\u0627\u0626\u0642<\/a> .<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0645\u062e\u0637\u0637 \u062c\u0627\u0646\u062a \u0647\u0648 \u0646\u0648\u0639 \u0645\u0646 \u0627\u0644\u0645\u062e\u0637\u0637\u0627\u062a \u0627\u0644\u062a\u064a \u062a\u0639\u0631\u0636 \u0623\u0648\u0642\u0627\u062a \u0627\u0644\u0628\u062f\u0627\u064a\u0629 \u0648\u0627\u0644\u0646\u0647\u0627\u064a\u0629 \u0644\u0644\u0623\u062d\u062f\u0627\u062b \u0627\u0644\u0645\u062e\u062a\u0644\u0641\u0629. \u064a\u0634\u0631\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u062c\u0627\u0646\u062a \u0641\u064a R \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u062d\u0632\u0645\u0629 ggplot2 . \u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u062c\u0627\u0646\u062a \u0641\u064a R \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 ggplot2 \u0644\u0646\u0641\u062a\u0631\u0636 \u0623\u0646 \u0644\u062f\u064a\u0646\u0627 \u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0627\u0644\u062a\u064a \u062a\u0648\u0636\u062d \u0623\u0648\u0642\u0627\u062a \u0627\u0644\u0628\u062f\u0621 \u0648\u0627\u0644\u0627\u0646\u062a\u0647\u0627\u0621 \u0644\u0623\u0631\u0628\u0639 \u0646\u0648\u0628\u0627\u062a \u0639\u0645\u0644 \u0645\u062e\u062a\u0644\u0641\u0629 \u0644\u0644\u0639\u0645\u0627\u0644 \u0641\u064a \u0623\u062d\u062f \u0627\u0644\u0645\u062a\u0627\u062c\u0631: #create data […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"yoast_head":"\n\u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u062c\u0627\u0646\u062a \u0641\u064a R \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 ggplot2 - 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