{"id":826,"date":"2023-07-28T15:10:19","date_gmt":"2023-07-28T15:10:19","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%89%e1%85%a1%e1%86%bc%e1%84%80%e1%85%aa%e1%86%ab-%e1%84%92%e1%85%a2%e1%86%bc%e1%84%85%e1%85%a7%e1%86%af\/"},"modified":"2023-07-28T15:10:19","modified_gmt":"2023-07-28T15:10:19","slug":"%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%89%e1%85%a1%e1%86%bc%e1%84%80%e1%85%aa%e1%86%ab-%e1%84%92%e1%85%a2%e1%86%bc%e1%84%85%e1%85%a7%e1%86%af","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%89%e1%85%a1%e1%86%bc%e1%84%80%e1%85%aa%e1%86%ab-%e1%84%92%e1%85%a2%e1%86%bc%e1%84%85%e1%85%a7%e1%86%af\/","title":{"rendered":"Python\uc5d0\uc11c \uc0c1\uad00 \ud589\ub82c\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub450 \ubcc0\uc218 \uc0ac\uc774\uc758 \uad00\uacc4\ub97c \uc815\ub7c9\ud654\ud558\ub294 \ud55c \uac00\uc9c0 \ubc29\ubc95\uc740 \ub450 \ubcc0\uc218 \uc0ac\uc774\uc758 \uc120\ud615 \uc5f0\uad00\uc131\uc744 \uce21\uc815\ud558\ub294 <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1175\u110b\u1165\u1109\u1173\u11ab-\u1109\u1161\u11bc\u1100\u116a\u11ab-\u1100\u1168\u1109\u116e-1\/\" target=\"_blank\" rel=\"noopener\">Pearson \uc0c1\uad00 \uacc4\uc218\ub97c<\/a> \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4 <em>.<\/em><\/span><\/p>\n<p> <span style=\"color: #000000;\">-1\uacfc 1 \uc0ac\uc774\uc758 \uac12\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \uc5ec\uae30\uc11c:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">-1\uc740 \uc644\ubcbd\ud558\uac8c \uc74c\uc758 \uc120\ud615 \uc0c1\uad00 \uad00\uacc4\ub97c \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">0\uc740 \uc120\ud615 \uc0c1\uad00\uad00\uacc4\uac00 \uc5c6\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">1\uc740 \uc644\ubcbd\ud558\uac8c \uc591\uc758 \uc120\ud615 \uc0c1\uad00 \uad00\uacc4\ub97c \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\uc0c1\uad00 \uacc4\uc218\uac00 0\uc5d0\uc11c \uba40\uc5b4\uc9c8\uc218\ub85d \ub450 \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\uac00 \ub354 \uac15\ud574\uc9d1\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uadf8\ub7ec\ub098 \uc5b4\ub5a4 \uacbd\uc6b0\uc5d0\ub294 \uc5ec\ub7ec \ubcc0\uc218 \uc30d \uac04\uc758 \uc0c1\uad00 \uad00\uacc4\ub97c \uc774\ud574\ud558\uace0 \uc2f6\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uacbd\uc6b0 \uc5ec\ub7ec \uc30d\uc758 \ubcc0\uc218 \uc870\ud569 \uac04\uc758 \uc0c1\uad00 \uacc4\uc218\ub97c \ubcf4\uc5ec\uc8fc\ub294 \uc815\uc0ac\uac01\ud615 \ud14c\uc774\ube14\uc778 <a href=\"https:\/\/statorials.org\/ko\/\u1109\u1161\u11bc\u1100\u116a\u11ab-\u1112\u1162\u11bc\u1105\u1167\u11af\u110b\u1173\u11af-\u110b\u1175\u11b0\u1102\u1173\u11ab-\u1107\u1161\u11bc\u1107\u1165\u11b8\/\" target=\"_blank\" rel=\"noopener\">\uc0c1\uad00 \ud589\ub82c\uc744<\/a> \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \uc0c1\uad00 \ud589\ub82c\uc744 \ub9cc\ub4e4\uace0 \ud574\uc11d\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Python\uc5d0\uc11c \uc0c1\uad00 \ud589\ub82c\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Python\uc5d0\uc11c \uc0c1\uad00 \ud589\ub82c\uc744 \ub9cc\ub4e4\ub824\uba74 \ub2e4\uc74c \ub2e8\uacc4\ub97c \ub530\ub974\uc138\uc694.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1\ub2e8\uacc4: \ub370\uc774\ud130\uc138\ud2b8\ub97c \ub9cc\ub4ed\ub2c8\ub2e4.<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\ndata = {'assists': [4, 5, 5, 6, 7, 8, 8, 10],\n        'rebounds': [12, 14, 13, 7, 8, 8, 9, 13],\n        'points': [22, 24, 26, 26, 29, 32, 20, 14]\n        }\n\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (data, columns=['assists','rebounds','points'])\ndf\n\n   assist rebound points\n0 4 12 22\n1 5 14 24\n2 5 13 26\n3 6 7 26\n4 7 8 29\n5 8 8 32\n6 8 9 20\n7 10 13 14\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>2\ub2e8\uacc4: \uc0c1\uad00 \ud589\ub82c\uc744 \ub9cc\ub4ed\ub2c8\ub2e4.<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create correlation matrix<\/span>\ndf. <span style=\"color: #3366ff;\">corr<\/span> ()\n\n                assists rebound points\nassists 1.000000 -0.244861 -0.329573\nrebounds -0.244861 1.000000 -0.522092\npoints -0.329573 -0.522092 1.000000\n\n<span style=\"color: #008080;\">#create same correlation matrix with coefficients rounded to 3 decimals<\/span> \ndf. <span style=\"color: #3366ff;\">corr<\/span> (). <span style=\"color: #3366ff;\">round<\/span> (3)\n\t       assists rebound points\nassists 1.000 -0.245 -0.330\nrebounds -0.245 1.000 -0.522\npoints -0.330 -0.522 1.000\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>3\ub2e8\uacc4: \uc0c1\uad00 \ud589\ub82c\uc744 \ud574\uc11d\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\ud45c\uc758 \ub300\uac01\uc120\uc5d0 \uc788\ub294 \uc0c1\uad00 \uacc4\uc218\ub294 \uac01 \ubcc0\uc218\uac00 \uadf8 \uc790\uccb4\uc640 \uc644\ubcbd\ud558\uac8c \uc0c1\uad00\ub418\uc5b4 \uc788\uae30 \ub54c\ubb38\uc5d0 \ubaa8\ub450 1\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\ub978 \ubaa8\ub4e0 \uc0c1\uad00 \uacc4\uc218\ub294 \ub2e4\uc591\ud55c \uc30d\ubcc4 \ubcc0\uc218 \uc870\ud569 \uac04\uc758 \uc0c1\uad00 \uad00\uacc4\ub97c \ub098\ud0c0\ub0c5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\uc5b4\uc2dc\uc2a4\ud2b8\uc640 \ub9ac\ubc14\uc6b4\ub4dc\uc758 \uc0c1\uad00\uacc4\uc218\ub294 <strong>-0.245<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc5b4\uc2dc\uc2a4\ud2b8\uc640 \ud3ec\uc778\ud2b8 \uc0ac\uc774\uc758 \uc0c1\uad00\uacc4\uc218\ub294 <strong>-0.330<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ub9ac\ubc14\uc6b4\ub4dc\uc640 \ud3ec\uc778\ud2b8 \uc0ac\uc774\uc758 \uc0c1\uad00\uacc4\uc218\ub294 <strong>-0.522<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>4\ub2e8\uacc4: \uc0c1\uad00 \ud589\ub82c\uc744 \uc2dc\uac01\ud654\ud569\ub2c8\ub2e4(\uc120\ud0dd \uc0ac\ud56d).<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Pandas\uc5d0\uc11c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/user_guide\/style.html\" target=\"_blank\" rel=\"noopener\">\uc2a4\ud0c0\uc77c \uc635\uc158\uc744<\/a> \uc0ac\uc6a9\ud558\uc5ec \uc0c1\uad00 \ud589\ub82c\uc744 \uc2dc\uac01\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>corr = df. <span style=\"color: #3366ff;\">corr<\/span> ()\ncorr. <span style=\"color: #3366ff;\">style<\/span> . <span style=\"color: #3366ff;\">background_gradient<\/span> (cmap='coolwarm')\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9176 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/correlationmatrixpython1.png\" alt=\"Python\uc758 \uc0c1\uad00 \ud589\ub82c\" width=\"309\" height=\"135\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\"><strong>cmap<\/strong> \uc778\uc218\ub97c \uc218\uc815\ud558\uc5ec \ub2e4\uc591\ud55c \uc0c9\uc0c1\uc758 \uc0c1\uad00 \ud589\ub82c\uc744 \uc0dd\uc131\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>corr = df. <span style=\"color: #3366ff;\">corr<\/span> ()\ncorr. <span style=\"color: #3366ff;\">style<\/span> . <span style=\"color: #3366ff;\">background_gradient<\/span> (cmap=' <span style=\"color: #800080;\">RdYlGn<\/span> ')<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9177 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/correlationmatrixpython2.png\" alt=\"Python\uc5d0\uc11c matplotlib\ub97c \uc0ac\uc6a9\ud55c \uc0c1\uad00 \ud589\ub82c\" width=\"297\" height=\"125\" srcset=\"\" sizes=\"auto, \"><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>corr = df. <span style=\"color: #3366ff;\">corr<\/span> ()\ncorr. <span style=\"color: #3366ff;\">style<\/span> . <span style=\"color: #3366ff;\">background_gradient<\/span> (cmap=' <span style=\"color: #800080;\">bwr<\/span> ')<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9179 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/correlationmatrixpython3.png\" alt=\"Pandas\ub97c \uc0ac\uc6a9\ud55c \uc0c1\uad00 \ud589\ub82c\" width=\"309\" height=\"125\" srcset=\"\" sizes=\"auto, \"><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>corr = df. <span style=\"color: #3366ff;\">corr<\/span> ()\ncorr. <span style=\"color: #3366ff;\">style<\/span> . <span style=\"color: #3366ff;\">background_gradient<\/span> (cmap=' <span style=\"color: #800080;\">PuOr<\/span> ')<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9180 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/correlationmatrixpython4.png\" alt=\"Python\uc758 \uc0c1\uad00 \ud589\ub82c \uc608\" width=\"306\" height=\"125\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ucc38\uace0<\/strong> : <strong>cmap<\/strong> \uc778\uc218\uc758 \uc804\uccb4 \ubaa9\ub85d\uc740 <a href=\"https:\/\/matplotlib.org\/stable\/tutorials\/colors\/colormaps.html\" target=\"_blank\" rel=\"noopener\">matplotlib \uc124\uba85\uc11c\ub97c<\/a> \ucc38\uc870\ud558\uc138\uc694.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub450 \ubcc0\uc218 \uc0ac\uc774\uc758 \uad00\uacc4\ub97c \uc815\ub7c9\ud654\ud558\ub294 \ud55c \uac00\uc9c0 \ubc29\ubc95\uc740 \ub450 \ubcc0\uc218 \uc0ac\uc774\uc758 \uc120\ud615 \uc5f0\uad00\uc131\uc744 \uce21\uc815\ud558\ub294 Pearson \uc0c1\uad00 \uacc4\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4 . -1\uacfc 1 \uc0ac\uc774\uc758 \uac12\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \uc5ec\uae30\uc11c: -1\uc740 \uc644\ubcbd\ud558\uac8c \uc74c\uc758 \uc120\ud615 \uc0c1\uad00 \uad00\uacc4\ub97c \ub098\ud0c0\ub0c5\ub2c8\ub2e4. 0\uc740 \uc120\ud615 \uc0c1\uad00\uad00\uacc4\uac00 \uc5c6\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. 1\uc740 \uc644\ubcbd\ud558\uac8c \uc591\uc758 \uc120\ud615 \uc0c1\uad00 \uad00\uacc4\ub97c \ub098\ud0c0\ub0c5\ub2c8\ub2e4. \uc0c1\uad00 \uacc4\uc218\uac00 0\uc5d0\uc11c \uba40\uc5b4\uc9c8\uc218\ub85d \ub450 \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\uac00 \ub354 \uac15\ud574\uc9d1\ub2c8\ub2e4. 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