{"id":823,"date":"2023-07-28T15:22:57","date_gmt":"2023-07-28T15:22:57","guid":{"rendered":"https:\/\/statorials.org\/ko\/z-%e1%84%8c%e1%85%a5%e1%86%b7%e1%84%89%e1%85%ae-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab\/"},"modified":"2023-07-28T15:22:57","modified_gmt":"2023-07-28T15:22:57","slug":"z-%e1%84%8c%e1%85%a5%e1%86%b7%e1%84%89%e1%85%ae-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/z-%e1%84%8c%e1%85%a5%e1%86%b7%e1%84%89%e1%85%ae-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab\/","title":{"rendered":"Python\uc5d0\uc11c z \uc810\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ud1b5\uacc4\uc5d0\uc11c <strong>z-\uc810\uc218\ub294<\/strong> \uac12\uc774 <a href=\"https:\/\/statorials.org\/ko\/\u110c\u116e\u11bc\u1109\u1175\u11b7-\u1100\u1167\u11bc\u1112\u1163\u11bc\u110b\u1173\u11af-\u110e\u1173\u11a8\u110c\u1165\u11bc\/\" target=\"_blank\" rel=\"noopener\">\ud3c9\uade0<\/a> \uc5d0\uc11c \uc5bc\ub9c8\ub098 \ub9ce\uc740 \ud45c\uc900 \ud3b8\ucc28\ub97c \uac00\uc9c0\uace0 \uc788\ub294\uc9c0 \uc54c\ub824\uc90d\ub2c8\ub2e4. \ub2e4\uc74c \uacf5\uc2dd\uc744 \uc0ac\uc6a9\ud558\uc5ec z-\uc810\uc218\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p style=\"text-align: center;\"> <span style=\"color: #000000;\"><strong>z<\/strong> = (X \u2013 \u03bc) \/ \u03c3<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uae08:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">X\ub294 \ub2e8\uc77c \uc6d0\uc2dc \ub370\uc774\ud130 \uac12\uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u03bc\ub294 \ubaa8\uc9d1\ub2e8 \ud3c9\uade0\uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u03c3\ub294 \ubaa8\uc9d1\ub2e8 \ud45c\uc900\ud3b8\ucc28\uc785\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \uc6d0\uc2dc \ub370\uc774\ud130 \uac12\uc5d0 \ub300\ud55c z-\uc810\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <strong>Python\uc5d0\uc11c Z \uc810\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 <strong>scipy.stats.zscore\ub97c<\/strong> \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c z-\uc810\uc218\ub97c \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>scipy.stats.zscore(a, \ucd95=0, ddof=0, nan_policy=&#8217;\uc804\ud30c&#8217;)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uae08:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>a<\/strong> : \ub370\uc774\ud130\ub97c \ub2f4\uace0 \uc788\ub294 \ubc30\uc5f4\ud615 \uac1d\uccb4<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>axis<\/strong> : z-\uc810\uc218\ub97c \uacc4\uc0b0\ud560 \ucd95\uc785\ub2c8\ub2e4. \uae30\ubcf8\uac12\uc740 0\uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>ddof<\/strong> : \ud45c\uc900\ud3b8\ucc28 \uacc4\uc0b0 \uc2dc \uc790\uc720\ub3c4\ub97c \uc218\uc815\ud569\ub2c8\ub2e4. \uae30\ubcf8\uac12\uc740 0\uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>nan_policy<\/strong> : \uc785\ub825\uc5d0 nan\uc774 \ud3ec\ud568\ub41c \uacbd\uc6b0 \ucc98\ub9ac \ubc29\ubc95. \uae30\ubcf8\uac12\uc740 propagate\uc774\uba70 nan\uc744 \ubc18\ud658\ud569\ub2c8\ub2e4. &#8216;raise&#8217;\ub294 \uc624\ub958\ub97c \ubc1c\uc0dd\uc2dc\ud0a4\uace0 &#8216;omit&#8217;\uc740 nan \uac12\uc744 \ubb34\uc2dc\ud558\uace0 \uacc4\uc0b0\uc744 \uc218\ud589\ud569\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec 1\ucc28\uc6d0 numpy \ubc30\uc5f4, \ub2e4\ucc28\uc6d0 numpy \ubc30\uc5f4 \ubc0f Pandas DataFrame\uc5d0 \ub300\ud55c z-\uc810\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Numpy 1\ucc28\uc6d0 \ubc30\uc5f4<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\"><strong>1\ub2e8\uacc4: \ubaa8\ub4c8\uc744 \uac00\uc838\uc635\ub2c8\ub2e4.<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import <span style=\"color: #000000;\">pandas<\/span> as <span style=\"color: #000000;\">pd<\/span>\nimport<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #107d3f;\">import<\/span> scipy.stats <span style=\"color: #107d3f;\">as<\/span> stats\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>2\ub2e8\uacc4: \uac12 \ud14c\uc774\ube14\uc744 \ub9cc\ub4ed\ub2c8\ub2e4.<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>data = np.array([6, 7, 7, 12, 13, 13, 15, 16, 19, 22])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>3\ub2e8\uacc4: \ud45c\uc758 \uac01 \uac12\uc5d0 \ub300\ud55c z-\uc810\uc218\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>stats.zscore(data)\n\n<span style=\"color: #000000;\">[-1.394, -1.195, -1.195, -0.199, 0, 0, 0.398, 0.598, 1.195, 1.793]<\/span>\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uac01 z-\uc810\uc218\ub294 \uac1c\ubcc4 \uac12\uc774 \ud3c9\uade0\uc5d0\uc11c \uc5bc\ub9c8\ub098 \ub9ce\uc740 \ud45c\uc900 \ud3b8\ucc28\ub97c \uac00\uc9c0\uace0 \uc788\ub294\uc9c0 \uc54c\ub824\uc90d\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\ud45c\uc5d0\uc11c &#8220;6&#8221;\uc758 \uccab \ubc88\uc9f8 \uac12\uc740 \ud3c9\uade0\ubcf4\ub2e4 <strong>1.394<\/strong> \ud45c\uc900\ud3b8\ucc28 <em>\uc544\ub798\uc5d0<\/em> \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ud45c\uc5d0\uc11c &#8220;13&#8221;\uc758 \ub2e4\uc12f \ubc88\uc9f8 \uac12\uc740 \ud3c9\uade0\uacfc\uc758 \ud45c\uc900\ud3b8\ucc28\uac00 <strong>0<\/strong> , \uc989 \ud3c9\uade0\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ud45c\uc5d0\uc11c &#8220;22&#8221;\uc758 \ub9c8\uc9c0\ub9c9 \uac12\uc740 \ud3c9\uade0 <em>\ubcf4\ub2e4<\/em> <strong>1.793<\/strong> \ud45c\uc900\ud3b8\ucc28 \ub192\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<h3> <span style=\"color: #000000;\"><strong>Numpy \ub2e4\ucc28\uc6d0 \ubc30\uc5f4<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\ucc28\uc6d0 \ubc30\uc5f4\uc774 \uc788\ub294 \uacbd\uc6b0 <strong>\ucd95 \ub9e4\uac1c<\/strong> \ubcc0\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc790\uccb4 \ubc30\uc5f4\uc744 \uae30\uc900\uc73c\ub85c \uac01 z-\uc810\uc218\ub97c \uacc4\uc0b0\ud558\ub3c4\ub85d \uc9c0\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4 \ub2e4\uc74c\uacfc \uac19\uc740 \ub2e4\ucc28\uc6d0 \ubc30\uc5f4\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>data = np.array([[5, 6, 7, 7, 8],\n                 [8, 8, 8, 9, 9],\n                 [2, 2, 4, 4, 5]])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \uac01 \ud14c\uc774\ube14\uc758 z-\uc810\uc218\ub97c \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>stats.zscore(data, axis=1)\n\n[[-1.569 -0.588 0.392 0.392 1.373]\n[-0.816 -0.816 -0.816 1.225 1.225]\n[-1.167 -1.167 0.5 0.5 1.333]]\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uac01 \uac1c\ubcc4 \uac12\uc758 Z \uc810\uc218\ub294 \ud574\ub2f9 \uac12\uc774 \uc788\ub294 \ud14c\uc774\ube14\uc744 \uae30\uc900\uc73c\ub85c \ud45c\uc2dc\ub429\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\uccab \ubc88\uc9f8 \ud45c\uc5d0\uc11c &#8220;5&#8221;\uc758 \uccab \ubc88\uc9f8 \uac12\uc740 \ud45c \ud3c9\uade0\ubcf4\ub2e4 <strong>1.159<\/strong> \ud45c\uc900\ud3b8\ucc28 <em>\uc544\ub798\uc5d0<\/em> \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ub450 \ubc88\uc9f8 \ud45c\uc5d0\uc11c &#8220;8&#8221;\uc758 \uccab \ubc88\uc9f8 \uac12\uc740 \ud574\ub2f9 \ud45c\uc758 \ud3c9\uade0\ubcf4\ub2e4 <strong>0.816<\/strong> \ud45c\uc900\ud3b8\ucc28 <em>\uc544\ub798\uc5d0<\/em> \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc138 \ubc88\uc9f8 \ud45c\uc5d0\uc11c &#8220;2&#8221;\uc758 \uccab \ubc88\uc9f8 \uac12\uc740 \ud574\ub2f9 \ud45c\uc758 \ud3c9\uade0\ubcf4\ub2e4 <strong>1.167<\/strong> \ud45c\uc900\ud3b8\ucc28 <em>\uc544\ub798\uc5d0<\/em> \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<h3> <span style=\"color: #000000;\"><strong>\ud32c\ub354 \ub370\uc774\ud130 \ud504\ub808\uc784<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub300\uc2e0 Pandas DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>data = pd.DataFrame(np.random.randint(0, 10, size=(5, 3)), columns=['A', 'B', 'C'])\ndata\n\nABC\n0 8 0 9\n1 4 0 7\n2 9 6 8\n3 1 8 1\n4 8 0 8\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\uc801\uc6a9<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc5f4\ub2f9 \uac1c\ubcc4 \uac12\uc758 z-\uc810\uc218\ub97c \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>data.apply(stats.zscore)\n\n          ABC\n0 0.659380 -0.802955 0.836080\n1 -0.659380 -0.802955 0.139347\n2 0.989071 0.917663 0.487713\n3 -1.648451 1.491202 -1.950852\n4 0.659380 -0.802955 0.487713\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uac01 \uac1c\ubcc4 \uac12\uc758 Z \uc810\uc218\ub294 \uac12\uc774 \uc704\uce58\ud55c \uc5f4\uc744 \uae30\uc900\uc73c\ub85c \ud45c\uc2dc\ub429\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\uccab \ubc88\uc9f8 \uc5f4\uc758 \uccab \ubc88\uc9f8 &#8220;8&#8221; \uac12\uc740 \ud574\ub2f9 \uc5f4\uc758 \ud3c9\uade0\uac12 <em>\ubcf4\ub2e4<\/em> <strong>0.659<\/strong> \ud45c\uc900\ud3b8\ucc28 \ub192\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ub450 \ubc88\uc9f8 \uc5f4\uc758 \uccab \ubc88\uc9f8 &#8220;0&#8221; \uac12\uc740 \ud574\ub2f9 \uc5f4\uc758 \ud3c9\uade0\uac12\ubcf4\ub2e4 <strong>0.803<\/strong> \ud45c\uc900\ud3b8\ucc28 <em>\ub0ae\uc2b5\ub2c8\ub2e4<\/em> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc138 \ubc88\uc9f8 \uc5f4\uc758 \uccab \ubc88\uc9f8 &#8220;9&#8221; \uac12\uc740 \ud574\ub2f9 \uc5f4\uc758 \ud3c9\uade0\uac12 <em>\ubcf4\ub2e4<\/em> <strong>0.836<\/strong> \ud45c\uc900\ud3b8\ucc28 \ub192\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \uc790\ub8cc:<\/strong><\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ko\/z-\u110c\u1165\u11b7\u1109\u116e-\u110b\u1166\u11a8\u1109\u1166\u11af\/\" target=\"_blank\" rel=\"noopener\">Excel\uc5d0\uc11c Z \uc810\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/z-\u110c\u1165\u11b7\u1109\u116e-spss\/\" target=\"_blank\" rel=\"noopener\">SPSS\uc5d0\uc11c Z \uc810\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/z-\u110c\u1165\u11b7\u1109\u116e-ti-84-\u1100\u1168\u1109\u1161\u11ab\u1100\u1175\/\" target=\"_blank\" rel=\"noopener\">TI-84 \uacc4\uc0b0\uae30\uc5d0\uc11c Z \uc810\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n<dl class=\"field-list simple\">\n<dd class=\"field-odd\"><\/dd>\n<\/dl>\n","protected":false},"excerpt":{"rendered":"<p>\ud1b5\uacc4\uc5d0\uc11c z-\uc810\uc218\ub294 \uac12\uc774 \ud3c9\uade0 \uc5d0\uc11c \uc5bc\ub9c8\ub098 \ub9ce\uc740 \ud45c\uc900 \ud3b8\ucc28\ub97c \uac00\uc9c0\uace0 \uc788\ub294\uc9c0 \uc54c\ub824\uc90d\ub2c8\ub2e4. \ub2e4\uc74c \uacf5\uc2dd\uc744 \uc0ac\uc6a9\ud558\uc5ec z-\uc810\uc218\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4. z = (X \u2013 \u03bc) \/ \u03c3 \uae08: X\ub294 \ub2e8\uc77c \uc6d0\uc2dc \ub370\uc774\ud130 \uac12\uc785\ub2c8\ub2e4. \u03bc\ub294 \ubaa8\uc9d1\ub2e8 \ud3c9\uade0\uc785\ub2c8\ub2e4. \u03c3\ub294 \ubaa8\uc9d1\ub2e8 \ud45c\uc900\ud3b8\ucc28\uc785\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \uc6d0\uc2dc \ub370\uc774\ud130 \uac12\uc5d0 \ub300\ud55c z-\uc810\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. Python\uc5d0\uc11c Z \uc810\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 [&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-823","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 Z \uc810\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95 \u2013 Statorials\ud559<\/title>\n<meta name=\"description\" content=\"Python\uc5d0\uc11c z-\uc810\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \uac04\ub2e8\ud55c \uc124\uba85\uc785\ub2c8\ub2e4.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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