{"id":1553,"date":"2023-07-25T22:07:10","date_gmt":"2023-07-25T22:07:10","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%89%e1%85%b5%e1%86%b8%e1%84%87%e1%85%ae%e1%86%ab%e1%84%8b%e1%85%b1%e1%84%89%e1%85%ae\/"},"modified":"2023-07-25T22:07:10","modified_gmt":"2023-07-25T22:07:10","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%89%e1%85%b5%e1%86%b8%e1%84%87%e1%85%ae%e1%86%ab%e1%84%8b%e1%85%b1%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%89%e1%85%b5%e1%86%b8%e1%84%87%e1%85%ae%e1%86%ab%e1%84%8b%e1%85%b1%e1%84%89%e1%85%ae\/","title":{"rendered":"Python\uc5d0\uc11c \uc2ed\ubd84\uc704\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95: \uc608 \ud3ec\ud568"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ud1b5\uacc4\uc5d0\uc11c <strong>\uc2ed\ubd84\uc704\uc218\ub294<\/strong> \ub370\uc774\ud130 \uc138\ud2b8\ub97c \ub3d9\uc77c\ud55c \ube48\ub3c4\uc758 10\uac1c \uadf8\ub8f9\uc73c\ub85c \ub098\ub204\ub294 \uc22b\uc790\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uccab \ubc88\uc9f8 \uc2ed\ubd84\uc704\uc218\ub294 \uc804\uccb4 \ub370\uc774\ud130 \uac12\uc758 10%\uac00 \uc544\ub798\ub85c \ub5a8\uc5b4\uc9c0\ub294 \uc9c0\uc810\uc774\ub2e4. \ub450 \ubc88\uc9f8 \uc2ed\ubd84\uc704\uc218\ub294 \uc804\uccb4 \ub370\uc774\ud130 \uac12\uc758 20%\uac00 \uc544\ub798\ub85c \ub5a8\uc5b4\uc9c0\ub294 \uc9c0\uc810 \ub4f1\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c \ub370\uc774\ud130\uc138\ud2b8\uc758 \uc2ed\ubd84\uc704\uc218\ub97c \uacc4\uc0b0\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\nn.p. <span style=\"color: #3366ff;\">percentile<\/span> (var, np. <span style=\"color: #3366ff;\">arange<\/span> (0, 100, 10))\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uae30\ub2a5\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608: Python\uc5d0\uc11c \uc2ed\ubd84\uc704\uc218 \uacc4\uc0b0<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 20\uac1c\uc758 \uac12\uc73c\ub85c \uac00\uc9dc \ub370\uc774\ud130\uc138\ud2b8\ub97c \uc0dd\uc131\ud55c \ud6c4 \ub370\uc774\ud130\uc138\ud2b8\uc758 \uc2ed\ubd84\uc704\uc218 \uac12\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#createdata\n<\/span>data = np. <span style=\"color: #3366ff;\">array<\/span> ([56, 58, 64, 67, 68, 73, 78, 83, 84, 88,\n                 89, 90, 91, 92, 93, 93, 94, 95, 97, 99])\n\n<span style=\"color: #008080;\">#calculate deciles of data\n<\/span>n.p. <span style=\"color: #3366ff;\">percentile<\/span> (data, np. <span style=\"color: #3366ff;\">arange<\/span> (0, 100, 10))\n\narray([56., 63.4, 67.8, 76.5, 83.6, 88.5, 90.4, 92.3, 93.2, 95.2])<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\uc2ed\ubd84\uc704\uc218\ub97c \ud574\uc11d\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\ubaa8\ub4e0 \ub370\uc774\ud130 \uac12\uc758 10%\uac00 <strong>63.4<\/strong> \ubcf4\ub2e4 \uc791\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ubaa8\ub4e0 \ub370\uc774\ud130 \uac12\uc758 20%\uac00 <strong>67.8<\/strong> \ubcf4\ub2e4 \uc791\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ubaa8\ub4e0 \ub370\uc774\ud130 \uac12\uc758 30%\uac00 <strong>76.5<\/strong> \ubcf4\ub2e4 \uc791\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ubaa8\ub4e0 \ub370\uc774\ud130 \uac12\uc758 40%\uac00 <strong>83.6<\/strong> \ubcf4\ub2e4 \uc791\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ubaa8\ub4e0 \ub370\uc774\ud130 \uac12\uc758 50%\uac00 <strong>88.5<\/strong> \ubcf4\ub2e4 \uc791\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ubaa8\ub4e0 \ub370\uc774\ud130 \uac12\uc758 60%\uac00 <strong>90.4<\/strong> \ubbf8\ub9cc\uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ubaa8\ub4e0 \ub370\uc774\ud130 \uac12\uc758 70%\uac00 <strong>92.3<\/strong> \ubcf4\ub2e4 \uc791\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ubaa8\ub4e0 \ub370\uc774\ud130 \uac12\uc758 80%\uac00 <strong>93.2<\/strong> \ubcf4\ub2e4 \uc791\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ubaa8\ub4e0 \ub370\uc774\ud130 \uac12\uc758 90%\uac00 <strong>95.2<\/strong> \ubcf4\ub2e4 \uc791\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\ucd9c\ub825(56)\uc758 \uccab \ubc88\uc9f8 \uac12\uc740 \ub2e8\uc21c\ud788 \ub370\uc774\ud130 \uc138\ud2b8\uc758 \ucd5c\uc18c\uac12\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608: Python\uc5d0\uc11c \uc2ed\ubd84\uc704\uc218\uc5d0 \uac12 \ubc30\uce58<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\uac01 \ub370\uc774\ud130 \uac12\uc744 \uc2ed\ubd84\uc704\uc218\uc5d0 \ubc30\uce58\ud558\ub824\uba74 pandas <strong>qcut<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774\uc804 \uc608\uc5d0\uc11c \uc0dd\uc131\ud55c \ub370\uc774\ud130\uc138\ud2b8\uc5d0 \uc774 \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\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: #993300;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#create data frame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">values<\/span> ': [56, 58, 64, 67, 68, 73, 78, 83, 84, 88,\n                              89, 90, 91, 92, 93, 93, 94, 95, 97, 99]})\n\n<span style=\"color: #008080;\">#calculate decile of each value in data frame\n<\/span>df[' <span style=\"color: #ff0000;\">Decile<\/span> '] = pd. <span style=\"color: #3366ff;\">qcut<\/span> (df[' <span style=\"color: #ff0000;\">values<\/span> '], 10, labels= <span style=\"color: #008000;\">False<\/span> )\n\n<span style=\"color: #008080;\">#display data frame\n<\/span>df\n\n\tvalues Decile\n0 56 0\n1 58 0\n2 64 1\n3 67 1\n4 68 2\n5 73 2\n6 78 3\n7 83 3\n8 84 4\n9 88 4\n10 89 5\n11 90 5\n12 91 6\n13 92 6\n14 93 7\n15 93 7\n16 94 8\n17 95 8\n18 97 9\n19 99 9<\/span>\n<\/span><\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\ub97c \ud574\uc11d\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\ub370\uc774\ud130 \uac12 56\uc740 \ubc31\ubd84\uc704\uc218 0%\uc640 10% \uc0ac\uc774\uc5d0 \uc788\uc73c\ubbc0\ub85c \uc2ed\ubd84\uc704\uc218 <strong>0<\/strong> \uc5d0 \uc18d\ud569\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ub370\uc774\ud130 \uac12 58\uc740 \ubc31\ubd84\uc704\uc218 0%\uc640 10% \uc0ac\uc774\uc5d0 \uc788\uc73c\ubbc0\ub85c \uc2ed\ubd84\uc704\uc218\ub294 <strong>0<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ub370\uc774\ud130 \uac12 64\ub294 10%\uc640 20% \ubc31\ubd84\uc704\uc218 \uc0ac\uc774\uc5d0 \uc788\uc73c\ubbc0\ub85c \uc2ed\ubd84\uc704\uc218 <strong>1<\/strong> \uc5d0 \uc18d\ud569\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ub370\uc774\ud130 \uac12 67\uc740 10%\uc640 20% \ubc31\ubd84\uc704\uc218 \uc0ac\uc774\uc5d0 \uc18d\ud558\ubbc0\ub85c \uc2ed\ubd84\uc704\uc218 <strong>1<\/strong> \uc5d0 \uc18d\ud569\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ub370\uc774\ud130 \uac12 68\uc740 20%\uc640 30% \ubc31\ubd84\uc704\uc218 \uc0ac\uc774\uc5d0 \uc18d\ud558\ubbc0\ub85c \uc2ed\ubd84\uc704\uc218 <strong>2<\/strong> \uc5d0 \uc18d\ud569\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\ub4f1\ub4f1.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\u110b\u1174-\u1107\u1162\u11a8\u1107\u116e\u11ab\u110b\u1171\u1109\u116e\/\" target=\"_blank\" rel=\"noopener\">Python\uc5d0\uc11c \ubc31\ubd84\uc704\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1161\u110b\u1175\u110a\u1165\u11ab-\u1109\u1161\u1107\u116e\u11ab\u110b\u1171\u1109\u116e-\u1107\u1165\u11b7\u110b\u1171\/\" target=\"_blank\" rel=\"noopener\">Python\uc5d0\uc11c \uc0ac\ubd84\uc704\uc218 \ubc94\uc704\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ud1b5\uacc4\uc5d0\uc11c \uc2ed\ubd84\uc704\uc218\ub294 \ub370\uc774\ud130 \uc138\ud2b8\ub97c \ub3d9\uc77c\ud55c \ube48\ub3c4\uc758 10\uac1c \uadf8\ub8f9\uc73c\ub85c \ub098\ub204\ub294 \uc22b\uc790\uc785\ub2c8\ub2e4. \uccab \ubc88\uc9f8 \uc2ed\ubd84\uc704\uc218\ub294 \uc804\uccb4 \ub370\uc774\ud130 \uac12\uc758 10%\uac00 \uc544\ub798\ub85c \ub5a8\uc5b4\uc9c0\ub294 \uc9c0\uc810\uc774\ub2e4. \ub450 \ubc88\uc9f8 \uc2ed\ubd84\uc704\uc218\ub294 \uc804\uccb4 \ub370\uc774\ud130 \uac12\uc758 20%\uac00 \uc544\ub798\ub85c \ub5a8\uc5b4\uc9c0\ub294 \uc9c0\uc810 \ub4f1\uc785\ub2c8\ub2e4. \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c \ub370\uc774\ud130\uc138\ud2b8\uc758 \uc2ed\ubd84\uc704\uc218\ub97c \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. import numpy as np n.p. percentile (var, np. arange (0, 100, 10)) \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 [&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-1553","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site 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