{"id":3078,"date":"2023-07-19T07:55:52","date_gmt":"2023-07-19T07:55:52","guid":{"rendered":"https:\/\/statorials.org\/hi\/%e0%a4%9c%e0%a5%80%e0%a4%9c%e0%a5%80%e0%a4%aa%e0%a5%8d%e0%a4%b2%e0%a5%89%e0%a4%9f-%e0%a4%a4%e0%a4%be%e0%a4%b2%e0%a4%bf%e0%a4%95%e0%a4%be\/"},"modified":"2023-07-19T07:55:52","modified_gmt":"2023-07-19T07:55:52","slug":"%e0%a4%9c%e0%a5%80%e0%a4%9c%e0%a5%80%e0%a4%aa%e0%a5%8d%e0%a4%b2%e0%a5%89%e0%a4%9f-%e0%a4%a4%e0%a4%be%e0%a4%b2%e0%a4%bf%e0%a4%95%e0%a4%be","status":"publish","type":"post","link":"https:\/\/statorials.org\/hi\/%e0%a4%9c%e0%a5%80%e0%a4%9c%e0%a5%80%e0%a4%aa%e0%a5%8d%e0%a4%b2%e0%a5%89%e0%a4%9f-%e0%a4%a4%e0%a4%be%e0%a4%b2%e0%a4%bf%e0%a4%95%e0%a4%be\/","title":{"rendered":"Ggplot2 \u092e\u0947\u0902 \u092a\u094d\u0932\u0949\u091f \u092e\u0947\u0902 \u091f\u0947\u092c\u0932 \u0915\u0948\u0938\u0947 \u091c\u094b\u0921\u093c\u0947\u0902 (2 \u0909\u0926\u093e\u0939\u0930\u0923)"},"content":{"rendered":"

<\/p>\n

\n

\u0905\u0915\u094d\u0938\u0930 \u0906\u092a R \u092e\u0947\u0902 ggplot2 \u092e\u0947\u0902 \u092c\u0928\u093e\u090f \u0917\u090f \u092a\u094d\u0932\u0949\u091f \u092e\u0947\u0902 \u091f\u0947\u092c\u0932 \u091c\u094b\u0921\u093c\u0928\u093e \u091a\u093e\u0939 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902 \u0924\u093e\u0915\u093f \u092a\u093e\u0920\u0915 \u092a\u094d\u0932\u0949\u091f \u0915\u0947 \u0938\u093e\u0925-\u0938\u093e\u0925 \u0915\u091a\u094d\u091a\u0947 \u0921\u0947\u091f\u093e \u0915\u094b \u092d\u0940 \u0926\u0947\u0916 \u0938\u0915\u0947\u0902\u0964<\/span><\/p>\n

\u0938\u094c\u092d\u093e\u0917\u094d\u092f \u0938\u0947, ggpmisc \u092a\u0948\u0915\u0947\u091c \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 \u092a\u094d\u0932\u0949\u091f \u092e\u0947\u0902 \u0924\u093e\u0932\u093f\u0915\u093e\u090f\u0901 \u091c\u094b\u0921\u093c\u0928\u093e \u0906\u0938\u093e\u0928 \u0939\u0948:<\/span><\/p>\n

 install. packages<\/span> (' ggpmisc<\/span> ')\nlibrary<\/span> (ggpmisc)<\/b><\/span><\/pre>\n
 \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0909\u0926\u093e\u0939\u0930\u0923 \u0926\u093f\u0916\u093e\u0924\u0947 \u0939\u0948\u0902 \u0915\u093f \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0921\u0947\u091f\u093e \u092b\u093c\u094d\u0930\u0947\u092e \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 \u092c\u093e\u0930\u092a\u094d\u0932\u0949\u091f \u0914\u0930 \u0938\u094d\u0915\u0948\u091f\u0930\u092a\u094d\u0932\u0949\u091f \u092e\u0947\u0902 \u0924\u093e\u0932\u093f\u0915\u093e \u091c\u094b\u0921\u093c\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0907\u0938 \u092a\u0948\u0915\u0947\u091c \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902:<\/span><\/p>\n
 #create data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'),\n                 position=c('G', 'G', 'F', 'F', 'G', 'G', 'F', 'F'),\n                 points=c(13, 23, 24, 20, 19, 14, 29, 31))\n\n#view data frame\n<\/span>df\n\n  team position points\n1 AG 13\n2 AG 23\n3 AF 24\n4 AF 20\n5 BG 19\n6 BG 14\n7 BF 29\n8 BF 31<\/span><\/strong><\/pre>\n
 \u0909\u0926\u093e\u0939\u0930\u0923 1: ggplot2 \u092e\u0947\u0902 Barplot \u092e\u0947\u0902 \u090f\u0915 \u0924\u093e\u0932\u093f\u0915\u093e \u091c\u094b\u0921\u093c\u0947\u0902<\/strong><\/span><\/h3>\n
 \u0939\u092e ggplot2 \u092e\u0947\u0902 \u0938\u092e\u0942\u0939\u0940\u0915\u0943\u0924 \u092c\u093e\u0930\u092a\u094d\u0932\u0949\u091f \u092c\u0928\u093e\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \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 \u0914\u0930 \u0921\u0947\u091f\u093e \u092b\u093c\u094d\u0930\u0947\u092e \u0915\u0947 \u0935\u093e\u0938\u094d\u0924\u0935\u093f\u0915 \u092e\u093e\u0928 \u092a\u094d\u0930\u0926\u0930\u094d\u0936\u093f\u0924 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u092a\u094d\u0932\u0949\u091f \u0915\u0947 \u0928\u093f\u091a\u0932\u0947 \u0926\u093e\u090f\u0902 \u0915\u094b\u0928\u0947 \u092e\u0947\u0902 \u090f\u0915 \u0924\u093e\u0932\u093f\u0915\u093e \u091c\u094b\u0921\u093c \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/span> <\/p>\n
 library<\/span> (ggplo2)<\/span>\nlibrary<\/span> (ggpmisc)<\/b><\/span>\n\n#create barplot with table\n<\/span>ggplot(df, aes(x=team, y=points, fill=position)) + \n    geom_bar(position=' dodge<\/span> ', stat=' identity<\/span> ') +\n    annotate(geom = ' table<\/span> ',\n           x=4,\n           y=0,\n           label=list(df))\n<\/strong><\/pre>\n
\"ggplot2<\/p>\n
 \u092f\u0926\u093f \u0906\u092a \u090f\u0915 \u092c\u0921\u093c\u0947 \u0921\u0947\u091f\u093e\u0938\u0947\u091f \u0915\u0947 \u0938\u093e\u0925 \u0915\u093e\u092e \u0915\u0930 \u0930\u0939\u0947 \u0939\u0948\u0902 \u0914\u0930 \u092a\u094d\u0930\u0924\u094d\u092f\u0947\u0915 \u0935\u094d\u092f\u0915\u094d\u0924\u093f\u0917\u0924 \u092a\u0902\u0915\u094d\u0924\u093f \u0915\u094b \u092a\u094d\u0930\u0926\u0930\u094d\u0936\u093f\u0924 \u0928\u0939\u0940\u0902 \u0915\u0930\u0928\u093e \u091a\u093e\u0939\u0924\u0947 \u0939\u0948\u0902, \u0924\u094b \u0906\u092a ggplot2 \u092e\u0947\u0902 \u0924\u093e\u0932\u093f\u0915\u093e \u092c\u0928\u093e\u0928\u0947 \u0938\u0947 \u092a\u0939\u0932\u0947 \u0921\u0947\u091f\u093e \u0915\u094b \u0938\u093e\u0930\u093e\u0902\u0936\u093f\u0924 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0924\u093e\u0932\u093f\u0915\u093e()<\/strong> \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/span> <\/p>\n
 library<\/span> (ggplot2)<\/span>\nlibrary<\/span> (ggpmisc)\n<\/b><\/span>\n#summarize frequencies of team and points in table\n<\/span>my_table <- as. data<\/span> . frame<\/span> (table(df[, c(1, 3)]))\n\n#create barplot with table<\/span>\nggplot(df, aes(x=team, y=points, fill=position)) + \n    geom_bar(position=' dodge<\/span> ', stat=' identity<\/span> ') +\n    annotate(geom = ' table<\/span> ',\n           x=4,\n           y=0,\n           label=list(my_table))\n<\/strong><\/pre>\n
\"\"<\/p>\n
 \u0909\u0926\u093e\u0939\u0930\u0923 2: ggplot2 \u092e\u0947\u0902 \u0938\u094d\u0915\u0948\u091f\u0930\u092a\u094d\u0932\u0949\u091f \u092e\u0947\u0902 \u090f\u0915 \u0924\u093e\u0932\u093f\u0915\u093e \u091c\u094b\u0921\u093c\u0947\u0902<\/strong><\/span><\/h3>\n
 \u0939\u092e ggplot2 \u092e\u0947\u0902 \u0938\u094d\u0915\u0948\u091f\u0930\u092a\u094d\u0932\u0949\u091f \u092c\u0928\u093e\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \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 \u0914\u0930 \u0921\u0947\u091f\u093e \u092b\u094d\u0930\u0947\u092e \u0938\u0947 \u0935\u093e\u0938\u094d\u0924\u0935\u093f\u0915 \u092e\u093e\u0928 \u092a\u094d\u0930\u0926\u0930\u094d\u0936\u093f\u0924 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u092a\u094d\u0932\u0949\u091f \u0915\u0947 \u0928\u093f\u091a\u0932\u0947 \u0926\u093e\u090f\u0902 \u0915\u094b\u0928\u0947 \u092e\u0947\u0902 \u090f\u0915 \u0924\u093e\u0932\u093f\u0915\u093e \u091c\u094b\u0921\u093c \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/span> <\/p>\n
 library<\/span> (ggplo2)\n<\/span>library<\/span> (ggpmisc)<\/b><\/span>\n\n#create scatterplot with table\n<\/span>ggplot(df, aes(x=team, y=points)) + \n    geom_point(aes(color=position)) +\n    annotate(geom=' table<\/span> ',\n           x=4,\n           y=0,\n           label=list(df))\n<\/strong><\/pre>\n
\"\"<\/p>\n
 \u0927\u094d\u092f\u093e\u0928 \u0926\u0947\u0902<\/strong> : \u0938\u0930\u0923\u0940 \u0915\u094b \u0906\u092a\u0915\u0947 \u0907\u091a\u094d\u091b\u093f\u0924 \u0938\u091f\u0940\u0915 \u0938\u094d\u0925\u093e\u0928 \u092a\u0930 \u0930\u0916\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u090f\u0928\u094b\u091f\u0947\u091f()<\/strong> \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u092e\u0947\u0902 x<\/strong> \u0914\u0930 y<\/strong> \u092e\u093e\u0928\u094b\u0902 \u0915\u0947 \u0938\u093e\u0925 \u0916\u0947\u0932\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0938\u094d\u0935\u0924\u0902\u0924\u094d\u0930 \u092e\u0939\u0938\u0942\u0938 \u0915\u0930\u0947\u0902\u0964<\/span><\/p>\n
 \u0905\u0924\u093f\u0930\u093f\u0915\u094d\u0924 \u0938\u0902\u0938\u093e\u0927\u0928<\/strong><\/span><\/h3>\n
 \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u091f\u094d\u092f\u0942\u091f\u094b\u0930\u093f\u092f\u0932 \u092c\u0924\u093e\u0924\u0947 \u0939\u0948\u0902 \u0915\u093f ggplot2 \u092e\u0947\u0902 \u0905\u0928\u094d\u092f \u0938\u093e\u092e\u093e\u0928\u094d\u092f \u0915\u093e\u0930\u094d\u092f \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902:<\/span><\/p>\n
 Ggplot2 \u092a\u094d\u0932\u0949\u091f\u094d\u0938 \u092e\u0947\u0902 \u091f\u0947\u0915\u094d\u0938\u094d\u091f \u0915\u0948\u0938\u0947 \u091c\u094b\u0921\u093c\u0947\u0902<\/a>
 Ggplot2 \u092e\u0947\u0902 \u0936\u0940\u0930\u094d\u0937\u0915 \u0938\u094d\u0925\u093f\u0924\u093f \u0915\u0948\u0938\u0947 \u092c\u0926\u0932\u0947\u0902<\/a>
 Ggplot2 \u0932\u0947\u091c\u0947\u0902\u0921 \u092e\u0947\u0902 \u0906\u0907\u091f\u092e\u094b\u0902 \u0915\u093e \u0915\u094d\u0930\u092e \u0915\u0948\u0938\u0947 \u092c\u0926\u0932\u0947\u0902<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0905\u0915\u094d\u0938\u0930 \u0906\u092a R \u092e\u0947\u0902 ggplot2 \u092e\u0947\u0902 \u092c\u0928\u093e\u090f \u0917\u090f \u092a\u094d\u0932\u0949\u091f \u092e\u0947\u0902 \u091f\u0947\u092c\u0932 \u091c\u094b\u0921\u093c\u0928\u093e \u091a\u093e\u0939 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902 \u0924\u093e\u0915\u093f \u092a\u093e\u0920\u0915 \u092a\u094d\u0932\u0949\u091f \u0915\u0947 \u0938\u093e\u0925-\u0938\u093e\u0925 \u0915\u091a\u094d\u091a\u0947 \u0921\u0947\u091f\u093e \u0915\u094b \u092d\u0940 \u0926\u0947\u0916 \u0938\u0915\u0947\u0902\u0964 \u0938\u094c\u092d\u093e\u0917\u094d\u092f \u0938\u0947, ggpmisc \u092a\u0948\u0915\u0947\u091c \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 \u092a\u094d\u0932\u0949\u091f \u092e\u0947\u0902 \u0924\u093e\u0932\u093f\u0915\u093e\u090f\u0901 \u091c\u094b\u0921\u093c\u0928\u093e \u0906\u0938\u093e\u0928 \u0939\u0948: install. packages (‘ ggpmisc ‘) library (ggpmisc) \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0909\u0926\u093e\u0939\u0930\u0923 \u0926\u093f\u0916\u093e\u0924\u0947 \u0939\u0948\u0902 \u0915\u093f \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0921\u0947\u091f\u093e \u092b\u093c\u094d\u0930\u0947\u092e \u0915\u093e […]<\/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-3078","post","type-post","status-publish","format-standard","hentry","category-3"],"yoast_head":"\nGgplot2 \u092e\u0947\u0902 \u092a\u094d\u0932\u0949\u091f\u094d\u0938 \u092e\u0947\u0902 \u091f\u0947\u092c\u0932 \u0915\u0948\u0938\u0947 \u091c\u094b\u0921\u093c\u0947\u0902 (2 \u0909\u0926\u093e\u0939\u0930\u0923) - \u0938\u094d\u091f\u0947\u091f\u094b\u0930\u093f\u092f\u0932\u094d\u0938<\/title>\n<meta name=\"description\" content=\"\u092f\u0939 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