{"id":1320,"date":"2023-07-26T21:20:58","date_gmt":"2023-07-26T21:20:58","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab%e1%84%8b%e1%85%b4-%e1%84%87%e1%85%a7%e1%86%ab%e1%84%83%e1%85%a9%e1%86%bc-%e1%84%80%e1%85%a8%e1%84%89%e1%85%ae\/"},"modified":"2023-07-26T21:20:58","modified_gmt":"2023-07-26T21:20:58","slug":"%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab%e1%84%8b%e1%85%b4-%e1%84%87%e1%85%a7%e1%86%ab%e1%84%83%e1%85%a9%e1%86%bc-%e1%84%80%e1%85%a8%e1%84%89%e1%85%ae","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab%e1%84%8b%e1%85%b4-%e1%84%87%e1%85%a7%e1%86%ab%e1%84%83%e1%85%a9%e1%86%bc-%e1%84%80%e1%85%a8%e1%84%89%e1%85%ae\/","title":{"rendered":"Python\uc5d0\uc11c \ubcc0\ub3d9 \uacc4\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\uc885\uc885 <em>CV<\/em> \ub85c \ucd95\uc57d\ub418\ub294 <strong>\ubcc0\ub3d9 \uacc4\uc218\ub294<\/strong> \ud3c9\uade0\uc744 \uae30\uc900\uc73c\ub85c \ub370\uc774\ud130 \uc138\ud2b8\uc758 \uac12 \ud655\uc0b0\uc744 \uce21\uc815\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \ub2e4\uc74c\uacfc \uac19\uc774 \uacc4\uc0b0\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <strong><span style=\"color: #000000;\">CV = \u03c3 \/ \u03bc<\/span><\/strong><\/p>\n<p> <span style=\"color: #000000;\">\uae08:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>\u03c3:<\/strong> \ub370\uc774\ud130\uc138\ud2b8\uc758 \ud45c\uc900\ud3b8\ucc28<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\u03bc:<\/strong> \ub370\uc774\ud130 \uc138\ud2b8\uc758 \ud3c9\uade0<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\uac04\ub2e8\ud788 \ub9d0\ud558\uba74, \ubcc0\ub3d9\uacc4\uc218\ub294 \ub2e8\uc21c\ud788 \ud3c9\uade0\uc5d0 \ub300\ud55c \ud45c\uc900\ud3b8\ucc28\uc758 \ube44\uc728\uc785\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ubcc0\ub3d9\uacc4\uc218\ub97c \uc0ac\uc6a9\ud574\uc57c \ud558\ub294 \uacbd\uc6b0<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ubcc0\ub3d9 \uacc4\uc218\ub294 \uc11c\ub85c \ub2e4\ub978 \ub450 \ub370\uc774\ud130 \uc138\ud2b8 \uac04\uc758 \ubcc0\ub3d9\uc744 \ube44\uad50\ud558\ub294 \ub370 \uc885\uc885 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc2e4\uc81c \uc138\uacc4\uc5d0\uc11c\ub294 \ud22c\uc790\uc758 \ud3c9\uade0 \uae30\ub300 \uc218\uc775\ub960\uacfc \ud22c\uc790\uc758 \uc608\uc0c1 \ud45c\uc900 \ud3b8\ucc28\ub97c \ube44\uad50\ud558\uae30 \uc704\ud574 \uae08\uc735 \ubd84\uc57c\uc5d0\uc11c \uc790\uc8fc \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ud22c\uc790\uc790\ub294 \ud22c\uc790 \uac04 \uc704\ud5d8-\uc218\uc775 \uade0\ud615\uc744 \ube44\uad50\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc608\ub97c \ub4e4\uc5b4, \ud22c\uc790\uc790\uac00 \ub2e4\uc74c \ub450 \uac00\uc9c0 \ubba4\ucd94\uc5bc \ud380\ub4dc\uc5d0 \ud22c\uc790\ud558\ub294 \uac83\uc744 \uace0\ub824\ud558\uace0 \uc788\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ubba4\ucd94\uc5bc \ud380\ub4dc A: \ud3c9\uade0 = 9%, \ud45c\uc900\ud3b8\ucc28 = 12.4%<\/span><\/p>\n<p> <span style=\"color: #000000;\">UCITS B: \ud3c9\uade0 = 5%, \ud45c\uc900\ud3b8\ucc28 = 8.2%<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uac01 \ud380\ub4dc\uc758 \ubcc0\ub3d9\uacc4\uc218\ub97c \uacc4\uc0b0\ud568\uc73c\ub85c\uc368 \ud22c\uc790\uc790\ub294 \ub2e4\uc74c \uc0ac\ud56d\uc5d0 \uc8fc\ubaa9\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ubba4\ucd94\uc5bc \ud380\ub4dc A\uc758 CV = 12.4% \/9% = <strong>1.38<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\ubba4\ucd94\uc5bc \ud380\ub4dc B\uc758 CV = 8.2% \/ 5% = <strong>1.64<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\ubba4\ucd94\uc5bc \ud380\ub4dc A\ub294 \ubcc0\ub3d9 \uacc4\uc218\uac00 \ub0ae\uae30 \ub54c\ubb38\uc5d0 \ud45c\uc900 \ud3b8\ucc28\uc5d0 \ube44\ud574 \ub354 \ub098\uc740 \ud3c9\uade0 \uc218\uc775\ub960\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Python\uc5d0\uc11c \ubcc0\ub3d9 \uacc4\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Python\uc5d0\uc11c \ub370\uc774\ud130 \uc138\ud2b8\uc758 \ubcc0\ub3d9 \uacc4\uc218\ub97c \uacc4\uc0b0\ud558\ub824\uba74 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\ncv = <span style=\"color: #008000;\">lambda<\/span> x: np. <span style=\"color: #3366ff;\">std<\/span> (x, ddof= <span style=\"color: #008000;\">1<\/span> ) \/ np. <span style=\"color: #3366ff;\">mean<\/span> (x) * <span style=\"color: #008000;\">100\n<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uad6c\ubb38\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\uc608 1: \ub2e8\uc77c \ub124\ud2b8\uc6cc\ud06c\uc758 \ubcc0\ub3d9 \uacc4\uc218<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \ub2e8\uc77c \ud14c\uc774\ube14\uc758 CV\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create vector of data\n<\/span>data = [88, 85, 82, 97, 67, 77, 74, 86, 81, 95, 77, 88, 85, 76, 81, 82]\n\n<span style=\"color: #008080;\">#define function to calculate cv<\/span>\ncv = <span style=\"color: #008000;\">lambda<\/span> x: np. <span style=\"color: #3366ff;\">std<\/span> (x, ddof= <span style=\"color: #008000;\">1<\/span> ) \/ np. <span style=\"color: #3366ff;\">mean<\/span> (x) * <span style=\"color: #008000;\">100 \n<\/span>\n<span style=\"color: #008080;\">#calculate CV\n<\/span>cv(data)\n\n9.234518\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ubcc0\ub3d9\uacc4\uc218\ub294 <strong>9.23<\/strong> \uc73c\ub85c \ub098\ud0c0\ub0ac\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\uc608 2: \uc5ec\ub7ec \ubca1\ud130\uc758 \ubcc0\ub3d9 \uacc4\uc218<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 Pandas DataFrame\uc5d0 \uc788\ub294 \uc5ec\ub7ec \uc5f4\uc758 CV\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np<\/span>\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#define function to calculate cv<\/span>\ncv = <span style=\"color: #008000;\">lambda<\/span> x: np. <span style=\"color: #3366ff;\">std<\/span> (x, ddof= <span style=\"color: #008000;\">1<\/span> ) \/ np. <span style=\"color: #3366ff;\">mean<\/span> (x) * <span style=\"color: #008000;\">100<\/span><\/span>\n\n#create pandas DataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({'a': [88, 85, 82, 97, 67, 77, 74, 86, 81, 95],\n                   'b': [77, 88, 85, 76, 81, 82, 88, 91, 92, 99],\n                   'c': [67, 68, 68, 74, 74, 76, 76, 77, 78, 84]})\n\n<span style=\"color: #008080;\">#calculate CV for each column in data frame\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">apply<\/span> (cv)\n\na 11.012892\nb8.330843\nc7.154009\ndtype:float64<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\ubcc0\ub3d9 \uacc4\uc218\ub97c \uacc4\uc0b0\ud560 \ub54c \ub204\ub77d\ub41c \uac12\uc740 \ubb34\uc2dc\ub429\ub2c8\ub2e4.<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np<\/span>\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n#define function to calculate cv\ncv = <span style=\"color: #008000;\">lambda<\/span> x: np. <span style=\"color: #3366ff;\">std<\/span> (x, ddof= <span style=\"color: #008000;\">1<\/span> ) \/ np. <span style=\"color: #3366ff;\">mean<\/span> (x) * <span style=\"color: #008000;\">100<\/span><\/span>\n\n#create pandas DataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({'a': [88, 85, 82, 97, 67, 77, 74, 86, 81, 95],\n                   'b': [77, 88, 85, 76, 81, 82, 88, 91, np. <span style=\"color: #3366ff;\">no<\/span> , 99],\n                   'c': [67, 68, 68, 74, 74, 76, 76, 77, 78, np. <span style=\"color: #3366ff;\">no<\/span> ]})\n\n<span style=\"color: #008080;\">#calculate CV for each column in data frame\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">apply<\/span> (cv)\n\na 11.012892\nb 8.497612\nc5.860924\ndtype:float64<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/ko\/r\u110b\u1174-\u1107\u1167\u11ab\u1103\u1169\u11bc-\u1100\u1168\u1109\u116e\/\" target=\"_blank\" rel=\"noopener\">R\uc758 \ubcc0\ub3d9 \uacc4\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1107\u1167\u11ab\u1103\u1169\u11bc\u1100\u1168\u1109\u116e-\u110b\u1166\u11a8\u1109\u1166\u11af\/\" target=\"_blank\" rel=\"noopener\">Excel\uc5d0\uc11c \ubcc0\ub3d9 \uacc4\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1107\u1167\u11ab\u1103\u1169\u11bc-\u1100\u1168\u1109\u116e-google-\u1109\u1175\u1110\u1173\/\" target=\"_blank\" rel=\"noopener\">Google \uc2a4\ud504\ub808\ub4dc\uc2dc\ud2b8\uc5d0\uc11c \ubcc0\ub3d9 \uacc4\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc885\uc885 CV \ub85c \ucd95\uc57d\ub418\ub294 \ubcc0\ub3d9 \uacc4\uc218\ub294 \ud3c9\uade0\uc744 \uae30\uc900\uc73c\ub85c \ub370\uc774\ud130 \uc138\ud2b8\uc758 \uac12 \ud655\uc0b0\uc744 \uce21\uc815\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \ub2e4\uc74c\uacfc \uac19\uc774 \uacc4\uc0b0\ub429\ub2c8\ub2e4. CV = \u03c3 \/ \u03bc \uae08: \u03c3: \ub370\uc774\ud130\uc138\ud2b8\uc758 \ud45c\uc900\ud3b8\ucc28 \u03bc: \ub370\uc774\ud130 \uc138\ud2b8\uc758 \ud3c9\uade0 \uac04\ub2e8\ud788 \ub9d0\ud558\uba74, \ubcc0\ub3d9\uacc4\uc218\ub294 \ub2e8\uc21c\ud788 \ud3c9\uade0\uc5d0 \ub300\ud55c \ud45c\uc900\ud3b8\ucc28\uc758 \ube44\uc728\uc785\ub2c8\ub2e4. \ubcc0\ub3d9\uacc4\uc218\ub97c \uc0ac\uc6a9\ud574\uc57c \ud558\ub294 \uacbd\uc6b0 \ubcc0\ub3d9 \uacc4\uc218\ub294 \uc11c\ub85c \ub2e4\ub978 \ub450 \ub370\uc774\ud130 \uc138\ud2b8 \uac04\uc758 \ubcc0\ub3d9\uc744 \ube44\uad50\ud558\ub294 \ub370 \uc885\uc885 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-1320","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Python\uc5d0\uc11c \ubcc0\ub3d9 \uacc4\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95 - \ud1b5\uacc4\ud559<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 Python\uc5d0\uc11c \ubcc0\ub3d9 \uacc4\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/ko\/\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\u110b\u1174-\u1107\u1167\u11ab\u1103\u1169\u11bc-\u1100\u1168\u1109\u116e\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python\uc5d0\uc11c \ubcc0\ub3d9 \uacc4\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95 - 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