{"id":466,"date":"2023-07-29T19:48:38","date_gmt":"2023-07-29T19:48:38","guid":{"rendered":"https:\/\/statorials.org\/hi\/%e0%a4%97%e0%a5%88%e0%a4%82%e0%a4%9f-%e0%a4%9a%e0%a4%be%e0%a4%b0%e0%a5%8d%e0%a4%9f-%e0%a4%86%e0%a4%b0-ggplot2\/"},"modified":"2023-07-29T19:48:38","modified_gmt":"2023-07-29T19:48:38","slug":"%e0%a4%97%e0%a5%88%e0%a4%82%e0%a4%9f-%e0%a4%9a%e0%a4%be%e0%a4%b0%e0%a5%8d%e0%a4%9f-%e0%a4%86%e0%a4%b0-ggplot2","status":"publish","type":"post","link":"https:\/\/statorials.org\/hi\/%e0%a4%97%e0%a5%88%e0%a4%82%e0%a4%9f-%e0%a4%9a%e0%a4%be%e0%a4%b0%e0%a5%8d%e0%a4%9f-%e0%a4%86%e0%a4%b0-ggplot2\/","title":{"rendered":"Ggplot2 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 r \u092e\u0947\u0902 \u0917\u0948\u0902\u091f \u091a\u093e\u0930\u094d\u091f \u0915\u0948\u0938\u0947 \u092c\u0928\u093e\u090f\u0902"},"content":{"rendered":"

<\/p>\n

\n

\u0917\u0948\u0902\u091f \u091a\u093e\u0930\u094d\u091f<\/strong> \u090f\u0915 \u092a\u094d\u0930\u0915\u093e\u0930 \u0915\u093e \u091a\u093e\u0930\u094d\u091f \u0939\u0948 \u091c\u094b \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u0918\u091f\u0928\u093e\u0913\u0902 \u0915\u0947 \u092a\u094d\u0930\u093e\u0930\u0902\u092d \u0914\u0930 \u0938\u092e\u093e\u092a\u094d\u0924\u093f \u0938\u092e\u092f \u0915\u094b \u0926\u0930\u094d\u0936\u093e\u0924\u093e \u0939\u0948\u0964<\/span><\/p>\n

\u092f\u0939 \u091f\u094d\u092f\u0942\u091f\u094b\u0930\u093f\u092f\u0932 \u092c\u0924\u093e\u0924\u093e \u0939\u0948 \u0915\u093f ggplot2<\/strong> \u092a\u0948\u0915\u0947\u091c \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 R \u092e\u0947\u0902 \u0917\u0948\u0902\u091f \u091a\u093e\u0930\u094d\u091f \u0915\u0948\u0938\u0947 \u092c\u0928\u093e\u092f\u093e \u091c\u093e\u090f\u0964<\/span><\/p>\n

Ggplot2 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 R \u092e\u0947\u0902 \u0917\u0948\u0902\u091f \u091a\u093e\u0930\u094d\u091f \u092c\u0928\u093e\u0928\u093e<\/strong><\/span><\/h2>\n

\u092e\u093e\u0928 \u0932\u0947\u0902 \u0915\u093f \u0939\u092e\u093e\u0930\u0947 \u092a\u093e\u0938 \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0921\u0947\u091f\u093e \u0938\u0947\u091f \u0939\u0948 \u091c\u094b \u090f\u0915 \u0938\u094d\u091f\u094b\u0930 \u092e\u0947\u0902 \u091a\u093e\u0930 \u0905\u0932\u0917-\u0905\u0932\u0917 \u0936\u094d\u0930\u092e\u093f\u0915\u094b\u0902 \u0915\u0940 \u0936\u093f\u092b\u094d\u091f \u0915\u0947 \u092a\u094d\u0930\u093e\u0930\u0902\u092d \u0914\u0930 \u0938\u092e\u093e\u092a\u094d\u0924\u093f \u0938\u092e\u092f \u0915\u094b \u0926\u0930\u094d\u0936\u093e\u0924\u093e \u0939\u0948:<\/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
 Ggplot2 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 \u090f\u0915 \u0917\u0948\u0902\u091f \u091a\u093e\u0930\u094d\u091f \u092c\u0928\u093e\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u091c\u094b \u092a\u094d\u0930\u0924\u094d\u092f\u0947\u0915 \u0915\u093e\u0930\u094d\u092f\u0915\u0930\u094d\u0924\u093e \u0915\u0947 \u092a\u094d\u0930\u093e\u0930\u0902\u092d \u0914\u0930 \u0938\u092e\u093e\u092a\u094d\u0924\u093f \u0938\u092e\u092f \u0915\u0940 \u0915\u0932\u094d\u092a\u0928\u093e \u0915\u0930\u0924\u093e \u0939\u0948, \u0939\u092e \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0915\u094b\u0921 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/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
 \u092f\u0939 \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0917\u0948\u0902\u091f \u091a\u093e\u0930\u094d\u091f \u0924\u0948\u092f\u093e\u0930 \u0915\u0930\u0924\u093e \u0939\u0948:<\/span><\/p>\n
 \u0932\u0947\u0906\u0909\u091f \u092e\u0947\u0902 \u0915\u0941\u091b \u092c\u0926\u0932\u093e\u0935\u094b\u0902 \u0915\u0947 \u0938\u093e\u0925, \u0939\u092e \u0907\u0938 \u0917\u0948\u0902\u091f \u091a\u093e\u0930\u094d\u091f \u0915\u094b \u0914\u0930 \u092c\u0947\u0939\u0924\u0930 \u092c\u0928\u093e \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/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
 \u092f\u0939 \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0917\u094d\u0930\u093e\u092b \u0909\u0924\u094d\u092a\u0928\u094d\u0928 \u0915\u0930\u0924\u093e \u0939\u0948:<\/span><\/p>\n
 \u0907\u0938\u0915\u0947 \u0905\u0924\u093f\u0930\u093f\u0915\u094d\u0924, \u092f\u0926\u093f \u0906\u092a \u091a\u093e\u0930\u094d\u091f \u092e\u0947\u0902 \u0909\u092a\u092f\u094b\u0917 \u0915\u0947 \u0932\u093f\u090f \u0938\u091f\u0940\u0915 \u0930\u0902\u0917 \u0938\u0947\u091f \u0915\u0930\u0928\u093e \u091a\u093e\u0939\u0924\u0947 \u0939\u0948\u0902, \u0924\u094b \u0906\u092a \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0915\u094b\u0921 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/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
 \u092f\u0939 \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u0936\u093f\u092b\u094d\u091f \u092a\u094d\u0930\u0915\u093e\u0930\u094b\u0902 \u0915\u094b \u0926\u0930\u094d\u0936\u093e\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0917\u0941\u0932\u093e\u092c\u0940, \u092c\u0948\u0902\u0917\u0928\u0940 \u0914\u0930 \u0928\u0940\u0932\u0947 \u0930\u0902\u0917\u094b\u0902 \u0915\u0947 \u0938\u093e\u0925 \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0917\u094d\u0930\u093e\u092b \u0924\u0948\u092f\u093e\u0930 \u0915\u0930\u0924\u093e \u0939\u0948:<\/span><\/p>\n
 \u0915\u0938\u094d\u091f\u092e \u0925\u0940\u092e \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0947\u0902<\/strong><\/span><\/h2>\n
 \u0939\u092e ggthemes<\/strong><\/a> \u0932\u093e\u0907\u092c\u094d\u0930\u0947\u0930\u0940 \u0938\u0947 \u0915\u0938\u094d\u091f\u092e \u0925\u0940\u092e \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 \u0906\u0917\u0947 \u092c\u0922\u093c \u0938\u0915\u0924\u0947 \u0939\u0948\u0902\u0964<\/span><\/p>\n
 \u0909\u0926\u093e\u0939\u0930\u0923 \u0915\u0947 \u0932\u093f\u090f, \u0939\u092e \u090f\u0915 \u0917\u0948\u0902\u091f \u091a\u093e\u0930\u094d\u091f \u092c\u0928\u093e \u0938\u0915\u0924\u0947 \u0939\u0948\u0902 \u091c\u094b \u0935\u0949\u0932 \u0938\u094d\u091f\u094d\u0930\u0940\u091f \u091c\u0930\u094d\u0928\u0932 \u0938\u0947 \u092a\u094d\u0930\u0947\u0930\u093f\u0924 \u0925\u0940\u092e \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0924\u093e \u0939\u0948:<\/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
 \u092f\u093e \u0939\u092e \u0926 \u0907\u0915\u094b\u0928\u0949\u092e\u093f\u0938\u094d\u091f \u0938\u0947 \u092a\u094d\u0930\u0947\u0930\u093f\u0924 \u0935\u093f\u0937\u092f \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/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
 \u092f\u093e \u0936\u093e\u092f\u0926 \u092a\u093e\u0901\u091a \u0924\u0940\u0938 \u0906\u0920<\/a> \u0938\u0947 \u092a\u094d\u0930\u0947\u0930\u093f\u0924 \u0935\u093f\u0937\u092f:<\/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<\/em> \u0932\u093e\u0907\u092c\u094d\u0930\u0947\u0930\u0940 \u092e\u0947\u0902 \u0909\u092a\u0932\u092c\u094d\u0927 \u0935\u093f\u0937\u092f\u094b\u0902 \u0915\u0940 \u092a\u0942\u0930\u0940 \u0938\u0942\u091a\u0940 \u0915\u0947 \u0932\u093f\u090f, \u0926\u0938\u094d\u0924\u093e\u0935\u0947\u091c\u093c\u0940\u0915\u0930\u0923 \u092a\u0943\u0937\u094d\u0920<\/a> \u0926\u0947\u0916\u0947\u0902\u0964<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0917\u0948\u0902\u091f \u091a\u093e\u0930\u094d\u091f \u090f\u0915 \u092a\u094d\u0930\u0915\u093e\u0930 \u0915\u093e \u091a\u093e\u0930\u094d\u091f \u0939\u0948 \u091c\u094b \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u0918\u091f\u0928\u093e\u0913\u0902 \u0915\u0947 \u092a\u094d\u0930\u093e\u0930\u0902\u092d \u0914\u0930 \u0938\u092e\u093e\u092a\u094d\u0924\u093f \u0938\u092e\u092f \u0915\u094b \u0926\u0930\u094d\u0936\u093e\u0924\u093e \u0939\u0948\u0964 \u092f\u0939 \u091f\u094d\u092f\u0942\u091f\u094b\u0930\u093f\u092f\u0932 \u092c\u0924\u093e\u0924\u093e \u0939\u0948 \u0915\u093f ggplot2 \u092a\u0948\u0915\u0947\u091c \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 R \u092e\u0947\u0902 \u0917\u0948\u0902\u091f \u091a\u093e\u0930\u094d\u091f \u0915\u0948\u0938\u0947 \u092c\u0928\u093e\u092f\u093e \u091c\u093e\u090f\u0964 Ggplot2 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 R \u092e\u0947\u0902 \u0917\u0948\u0902\u091f \u091a\u093e\u0930\u094d\u091f \u092c\u0928\u093e\u0928\u093e \u092e\u093e\u0928 \u0932\u0947\u0902 \u0915\u093f \u0939\u092e\u093e\u0930\u0947 \u092a\u093e\u0938 \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0921\u0947\u091f\u093e \u0938\u0947\u091f \u0939\u0948 \u091c\u094b \u090f\u0915 […]<\/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":[],"class_list":["post-466","post","type-post","status-publish","format-standard","hentry","category-3"],"yoast_head":"\nGgplot2 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 R \u092e\u0947\u0902 \u0917\u0948\u0902\u091f \u091a\u093e\u0930\u094d\u091f \u0915\u0948\u0938\u0947 \u092c\u0928\u093e\u090f\u0902 - \u0938\u094d\u091f\u0947\u091f\u094b\u0932\u0949\u091c\u0940<\/title>\n<meta name=\"description\" content=\"Ggplot2 \u0915\u093e 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