{"id":3475,"date":"2023-07-17T07:15:39","date_gmt":"2023-07-17T07:15:39","guid":{"rendered":"https:\/\/statorials.org\/hi\/dplyr-%e0%a4%ae%e0%a4%b0%e0%a5%8d%e0%a4%9c\/"},"modified":"2023-07-17T07:15:39","modified_gmt":"2023-07-17T07:15:39","slug":"dplyr-%e0%a4%ae%e0%a4%b0%e0%a5%8d%e0%a4%9c","status":"publish","type":"post","link":"https:\/\/statorials.org\/hi\/dplyr-%e0%a4%ae%e0%a4%b0%e0%a5%8d%e0%a4%9c\/","title":{"rendered":"Dplyr \u092e\u0947\u0902 coalesce() \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902 (\u0909\u0926\u093e\u0939\u0930\u0923 \u0915\u0947 \u0938\u093e\u0925)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0906\u092a \u090f\u0915 \u092f\u093e \u090f\u0915 \u0938\u0947 \u0905\u0927\u093f\u0915 \u0935\u0948\u0915\u094d\u091f\u0930 \u0915\u0940 \u092a\u094d\u0930\u0924\u094d\u092f\u0947\u0915 \u0938\u094d\u0925\u093f\u0924\u093f \u092e\u0947\u0902 \u092a\u0939\u0932\u093e \u0917\u0948\u0930-\u0932\u093e\u092a\u0924\u093e \u092e\u093e\u0928 \u0935\u093e\u092a\u0938 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f R \u092e\u0947\u0902 <a href=\"https:\/\/dplyr.tidyverse.org\/\" target=\"_blank\" rel=\"noopener\">dplyr<\/a> \u092a\u0948\u0915\u0947\u091c \u0938\u0947 <strong>Coalesce()<\/strong> \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902\u0964<\/span><\/p>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u0907\u0938 \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0926\u094b \u0938\u093e\u092e\u093e\u0928\u094d\u092f \u0924\u0930\u0940\u0915\u0947 \u0939\u0948\u0902:<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u0935\u093f\u0927\u093f 1: \u0935\u0947\u0915\u094d\u091f\u0930 \u092e\u0947\u0902 \u0932\u0941\u092a\u094d\u0924 \u092e\u093e\u0928\u094b\u0902 \u0915\u094b \u092c\u0926\u0932\u0947\u0902<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">library<\/span> (dplyr)<\/span>\n\n#replace missing values with 100\n<\/span>coalescence(x, 100)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0935\u093f\u0927\u093f 2: \u0921\u0947\u091f\u093e \u092b\u093c\u094d\u0930\u0947\u092e \u0915\u0949\u0932\u092e \u092e\u0947\u0902 \u092a\u0939\u0932\u093e \u0917\u0948\u0930-\u0905\u0928\u0941\u092a\u0932\u092c\u094d\u0927 \u092e\u093e\u0928 \u0932\u094c\u091f\u093e\u090f\u0901<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">library<\/span> (dplyr)<\/span>\n\n#return first non-missing value at each position across columns A and B<\/span>\ncoalesce(df$A, df$B)<\/strong>\n<\/pre>\n<p> <span style=\"color: #000000;\">\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 \u092a\u094d\u0930\u0924\u094d\u092f\u0947\u0915 \u0935\u093f\u0927\u093f \u0915\u094b \u0935\u094d\u092f\u0935\u0939\u093e\u0930 \u092e\u0947\u0902 \u0915\u0948\u0938\u0947 \u0932\u093e\u0917\u0942 \u0915\u093f\u092f\u093e \u091c\u093e\u090f\u0964<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u0909\u0926\u093e\u0939\u0930\u0923 1: \u0935\u0947\u0915\u094d\u091f\u0930 \u092e\u0947\u0902 \u0932\u0941\u092a\u094d\u0924 \u092e\u093e\u0928\u094b\u0902 \u0915\u094b \u092c\u0926\u0932\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0915\u094b\u0932\u0947\u0938\u0938\u0947() \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0947\u0902<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0915\u094b\u0921 \u0926\u093f\u0916\u093e\u0924\u093e \u0939\u0948 \u0915\u093f \u0915\u093f\u0938\u0940 \u0935\u0947\u0915\u094d\u091f\u0930 \u092e\u0947\u0902 100 \u0915\u0947 \u092e\u093e\u0928 \u0915\u0947 \u0938\u093e\u0925 \u0938\u092d\u0940 \u0932\u093e\u092a\u0924\u093e \u092e\u093e\u0928\u094b\u0902 \u0915\u094b \u092c\u0926\u0932\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f <strong>\u0915\u094b\u0932\u0947\u0938\u0938\u0947()<\/strong> \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">library<\/span> (dplyr)<\/span>\n\n#create vector of values\n<\/span>x &lt;- c(4, NA, 12, NA, 5, 14, 19)\n\n<span style=\"color: #008080;\">#replace missing values with 100\n<\/span>coalescence(x, 100)\n\n[1] 4 100 12 100 5 14 19\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0927\u094d\u092f\u093e\u0928 \u0926\u0947\u0902 \u0915\u093f \u092e\u0942\u0932 \u0935\u0947\u0915\u094d\u091f\u0930 \u092e\u0947\u0902 \u092a\u094d\u0930\u0924\u094d\u092f\u0947\u0915 <strong>NA<\/strong> \u092e\u093e\u0928 \u0915\u094b <strong>100<\/strong> \u0915\u0947 \u092e\u093e\u0928 \u0938\u0947 \u092c\u0926\u0932 \u0926\u093f\u092f\u093e \u0917\u092f\u093e \u0939\u0948\u0964<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u0909\u0926\u093e\u0939\u0930\u0923 2:<\/strong><\/span> <span style=\"color: #000000;\"><strong>\u0921\u0947\u091f\u093e \u092b\u093c\u094d\u0930\u0947\u092e \u0915\u0949\u0932\u092e \u092e\u0947\u0902 \u092a\u0939\u0932\u093e \u0917\u0948\u0930-\u0932\u093e\u092a\u0924\u093e \u092e\u093e\u0928 \u0935\u093e\u092a\u0938 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f Coalesce() \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0947\u0902<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u092e\u093e\u0928 \u0932\u0940\u091c\u093f\u090f \u0915\u093f \u0939\u092e\u093e\u0930\u0947 \u092a\u093e\u0938 R \u092e\u0947\u0902 \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0921\u0947\u091f\u093e \u092b\u093c\u094d\u0930\u0947\u092e \u0939\u0948:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#create data frame\n<span style=\"color: #000000;\">df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (A=c(10, NA, 5, 6, NA, 7, NA),\n                 B=c(14, 9, NA, 3, NA, 10, 4))<\/span>\n\n#view data frame\n<span style=\"color: #000000;\">df\n\n   AB\n1 10 14\n2 NA 9\n3 5 NA\n4 6 3\n5 NA NA\n6 7 10\n7 NA 4\n<\/span><\/span><\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0915\u094b\u0921 \u0926\u093f\u0916\u093e\u0924\u093e \u0939\u0948 \u0915\u093f \u0921\u0947\u091f\u093e \u092b\u094d\u0930\u0947\u092e \u0915\u0947 \u0915\u0949\u0932\u092e \u090f \u0914\u0930 \u092c\u0940 \u092e\u0947\u0902 \u092a\u0939\u0932\u0947 \u0917\u0948\u0930-\u0932\u093e\u092a\u0924\u093e \u092e\u093e\u0928 \u0915\u094b \u0935\u093e\u092a\u0938 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f <strong>\u0915\u094b\u0932\u0947\u0938\u0938\u0947 ()<\/strong> \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">library<\/span> (dplyr)\n\n<span style=\"color: #008080;\">#create new column that coalesces values from columns A and B\n<span style=\"color: #000000;\">df$C &lt;- coalesce(df$A, df$B)\n<\/span>\n#view updated data frame\n<span style=\"color: #000000;\">df\n\n   ABC\n1 10 14 10\n2 NA 9 9\n3 5 NA 5\n4 6 3 6\n5 NA NA NA\n6 7 10 7\n7 NA 4 4<\/span><\/span><\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\u092a\u0930\u093f\u0923\u093e\u092e\u0940 \u0915\u0949\u0932\u092e C \u092e\u0947\u0902 \u0915\u0949\u0932\u092e A \u0914\u0930 B \u092e\u0947\u0902 \u092a\u0939\u0932\u093e \u0917\u0948\u0930-\u0932\u093e\u092a\u0924\u093e \u092e\u093e\u0928 \u0936\u093e\u092e\u093f\u0932 \u0939\u0948\u0964<\/span><\/p>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u0927\u094d\u092f\u093e\u0928 \u0926\u0947\u0902 \u0915\u093f \u092a\u0902\u0915\u094d\u0924\u093f 5 \u092e\u0947\u0902 \u0915\u0949\u0932\u092e C \u092e\u0947\u0902 NA \u0915\u093e \u092e\u093e\u0928 \u0939\u0948 \u0915\u094d\u092f\u094b\u0902\u0915\u093f \u0907\u0938 \u092a\u0902\u0915\u094d\u0924\u093f \u092e\u0947\u0902 \u0915\u0949\u0932\u092e A \u0914\u0930 B \u0926\u094b\u0928\u094b\u0902 \u092e\u0947\u0902 NA \u092e\u093e\u0928 \u0925\u093e\u0964<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u092f\u0926\u093f \u092a\u094d\u0930\u0924\u094d\u092f\u0947\u0915 \u0915\u0949\u0932\u092e \u092e\u0947\u0902 NA \u092e\u093e\u0928 \u0939\u0948\u0902 \u0924\u094b \u0939\u092e \u092e\u0942\u0932\u094d\u092f \u0915\u0947 \u0930\u0942\u092a \u092e\u0947\u0902 \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f <strong>Coalesce()<\/strong> \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u092e\u0947\u0902 \u090f\u0915 \u0905\u0924\u093f\u0930\u093f\u0915\u094d\u0924 \u092e\u093e\u0928 \u091c\u094b\u0921\u093c \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">library<\/span> (dplyr)\n\n<span style=\"color: #008080;\">#create new column that coalesces values from columns A and B\n<span style=\"color: #000000;\">df$C &lt;- coalesce(df$A, df$B, 100)\n<\/span>\n#view updated data frame\n<span style=\"color: #000000;\">df\n\n   ABC\n1 10 14 10\n2 NA 9 9\n3 5 NA 5\n4 6 3 6\n5 NA NA 100\n6 7 10 7\n7 NA 4 4\n<\/span><\/span><\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\u0927\u094d\u092f\u093e\u0928 \u0926\u0947\u0902 \u0915\u093f \u0915\u0949\u0932\u092e C \u0915\u0940 \u092a\u0902\u0915\u094d\u0924\u093f 5 \u092e\u0947\u0902 NA \u092e\u093e\u0928 \u0915\u094b \u0905\u092c <strong>100<\/strong> \u0915\u0947 \u092e\u093e\u0928 \u0938\u0947 \u092c\u0926\u0932 \u0926\u093f\u092f\u093e \u0917\u092f\u093e \u0939\u0948\u0964<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u0905\u0924\u093f\u0930\u093f\u0915\u094d\u0924 \u0938\u0902\u0938\u093e\u0927\u0928<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\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 dplyr \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 \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<p> <a href=\"https:\/\/statorials.org\/hi\/dplyr-\u0932\u093e\u0907\u0928\u0947\u0902-\u0939\u091f\u093e\u090f\u0902\/\" target=\"_blank\" rel=\"noopener\">Dplyr \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 \u092a\u0902\u0915\u094d\u0924\u093f\u092f\u094b\u0902 \u0915\u094b \u0915\u0948\u0938\u0947 \u0939\u091f\u093e\u090f\u0902<\/a><br \/> <a href=\"https:\/\/statorials.org\/hi\/\u092a\u0902\u0915\u094d\u0924\u093f\u092f\u094b\u0902-\u0915\u094b-\u0935\u094d\u092f\u0935\u0938\u094d\u0925\u093f\u0924-\u0915\u0930\u0947\u0902-r\/\" target=\"_blank\" rel=\"noopener\">Dplyr \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 \u092a\u0902\u0915\u094d\u0924\u093f\u092f\u094b\u0902 \u0915\u094b \u0915\u0948\u0938\u0947 \u0935\u094d\u092f\u0935\u0938\u094d\u0925\u093f\u0924 \u0915\u0930\u0947\u0902<\/a><br \/> Dplyr \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 \u0905\u0928\u0947\u0915 \u0938\u094d\u0925\u093f\u0924\u093f\u092f\u094b\u0902 \u0915\u0947 \u0906\u0927\u093e\u0930 \u092a\u0930 \u092b\u093c\u093f\u0932\u094d\u091f\u0930 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0906\u092a \u090f\u0915 \u092f\u093e \u090f\u0915 \u0938\u0947 \u0905\u0927\u093f\u0915 \u0935\u0948\u0915\u094d\u091f\u0930 \u0915\u0940 \u092a\u094d\u0930\u0924\u094d\u092f\u0947\u0915 \u0938\u094d\u0925\u093f\u0924\u093f \u092e\u0947\u0902 \u092a\u0939\u0932\u093e \u0917\u0948\u0930-\u0932\u093e\u092a\u0924\u093e \u092e\u093e\u0928 \u0935\u093e\u092a\u0938 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f R \u092e\u0947\u0902 dplyr \u092a\u0948\u0915\u0947\u091c \u0938\u0947 Coalesce() \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902\u0964 \u0907\u0938 \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0926\u094b \u0938\u093e\u092e\u093e\u0928\u094d\u092f \u0924\u0930\u0940\u0915\u0947 \u0939\u0948\u0902: \u0935\u093f\u0927\u093f 1: \u0935\u0947\u0915\u094d\u091f\u0930 \u092e\u0947\u0902 \u0932\u0941\u092a\u094d\u0924 \u092e\u093e\u0928\u094b\u0902 \u0915\u094b \u092c\u0926\u0932\u0947\u0902 library (dplyr) #replace missing values with 100 [&hellip;]<\/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-3475","post","type-post","status-publish","format-standard","hentry","category-3"],"yoast_head":"<!-- This site is optimized with the 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\u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902\u0964\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/hi\/dplyr-\u092e\u0930\u094d\u091c\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-17T07:15:39+00:00\" \/>\n<meta name=\"author\" content=\"\u0921\u0949. \u092c\u0947\u0902\u091c\u093e\u092e\u093f\u0928 \u090f\u0902\u0921\u0930\u0938\u0928\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u0926\u094d\u0935\u093e\u0930\u093e \u0932\u093f\u0916\u093f\u0924\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0921\u0949. \u092c\u0947\u0902\u091c\u093e\u092e\u093f\u0928 \u090f\u0902\u0921\u0930\u0938\u0928\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u0905\u0928\u0941\u092e\u093e\u0928\u093f\u0924 \u092a\u0922\u093c\u0928\u0947 \u0915\u093e \u0938\u092e\u092f\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 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\u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902 (\u0909\u0926\u093e\u0939\u0930\u0923 \u0915\u0947 \u0938\u093e\u0925) - \u0938\u094d\u091f\u0947\u091f\u094b\u0930\u093f\u092f\u0932\u094d\u0938","description":"\u092f\u0939 \u091f\u094d\u092f\u0942\u091f\u094b\u0930\u093f\u092f\u0932 \u0915\u0908 \u0909\u0926\u093e\u0939\u0930\u0923\u094b\u0902 \u0915\u0947 \u0938\u093e\u0925 \u092c\u0924\u093e\u0924\u093e \u0939\u0948 \u0915\u093f R \u092e\u0947\u0902 dplyr \u092e\u0947\u0902 Coalesce() \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902\u0964","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/statorials.org\/hi\/dplyr-\u092e\u0930\u094d\u091c\/","og_locale":"hi_IN","og_type":"article","og_title":"dplyr \u092e\u0947\u0902 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