{"id":881,"date":"2023-07-28T10:44:58","date_gmt":"2023-07-28T10:44:58","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%83%e1%85%a1%e1%84%92%e1%85%a1%e1%86%bc%e1%84%89%e1%85%b5%e1%86%a8-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab\/"},"modified":"2023-07-28T10:44:58","modified_gmt":"2023-07-28T10:44:58","slug":"%e1%84%83%e1%85%a1%e1%84%92%e1%85%a1%e1%86%bc%e1%84%89%e1%85%b5%e1%86%a8-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1-%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\/%e1%84%83%e1%85%a1%e1%84%92%e1%85%a1%e1%86%bc%e1%84%89%e1%85%b5%e1%86%a8-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1-%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 \ub2e4\ud56d\uc2dd \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\ud68c\uadc0 \ubd84\uc11d\uc740 \ud558\ub098 \uc774\uc0c1\uc758 \uc124\uba85 \ubcc0\uc218\uc640 \ubc18\uc751 \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\ub97c \uc218\ub7c9\ud654\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/span><\/p>\n

\uac00\uc7a5 \uc77c\ubc18\uc801\uc778 \uc720\ud615\uc758 \ud68c\uadc0 \ubd84\uc11d\uc740 \ub2e8\uc21c \uc120\ud615 \ud68c\uadc0<\/a> \ub85c, \uc608\uce21 \ubcc0\uc218\uc640 \ubc18\uc751 \ubcc0\uc218\uac00 \uc120\ud615 \uad00\uacc4\ub97c \uac00\uc9c8 \ub54c \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/span> <\/p>\n

\"\"<\/p>\n

\uadf8\ub7ec\ub098 \uc608\uce21 \ubcc0\uc218\uc640 \ubc18\uc751 \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\uac00 \ube44\uc120\ud615\uc778 \uacbd\uc6b0\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\uc608\ub97c \ub4e4\uc5b4, \uc2e4\uc81c \uad00\uacc4\ub294 2\ucc28\uc77c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n

\"\"<\/p>\n

\ub610\ub294 3\ucc28\uc77c \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n

\"\"<\/p>\n

\uc774\ub7ec\ud55c \uacbd\uc6b0 \ubcc0\uc218 \uac04\uc758 \ube44\uc120\ud615 \uad00\uacc4\ub97c \uc124\uba85\ud560 \uc218 \uc788\ub294 \ub2e4\ud56d\uc2dd \ud68c\uadc0\ub97c<\/strong> \uc0ac\uc6a9\ud558\ub294 \uac83\uc774 \uc88b\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ub2e4\ud56d\uc2dd \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n

\uc608: Python\uc758 \ub2e4\ud56d\uc2dd \ud68c\uadc0<\/strong><\/span><\/h2>\n

Python\uc5d0 \ub2e4\uc74c\uacfc \uac19\uc740 \uc608\uce21 \ubcc0\uc218(x)\uc640 \uc751\ub2f5 \ubcc0\uc218(y)\uac00 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n

 x = [2, 3, 4, 5, 6, 7, 7, 8, 9, 11, 12]\ny = [18, 16, 15, 17, 20, 23, 25, 28, 31, 30, 29]\n<\/strong><\/pre>\n
 \uc774 \ub370\uc774\ud130\uc758 \uac04\ub2e8\ud55c \uc0b0\uc810\ub3c4\ub97c \uc0dd\uc131\ud558\uba74 x\uc640 y \uc0ac\uc774\uc758 \uad00\uacc4\uac00 \ubd84\uba85\ud788 \uc120\ud615\uc774 \uc544\ub2c8\ub77c\ub294 \uac83\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib.pyplot as<\/span> plt\n\n#create scatterplot<\/span> \nplt.scatter(x, y)\n<\/strong><\/pre>\n
\"\"<\/p>\n
 import<\/span> numpy as<\/span> np\n\n#polynomial fit with degree = 3\n<\/span>model = np.poly1d(np.polyfit(x, y, 3))\n\n#add fitted polynomial line to scatterplot\n<\/span>polyline = np.linspace(1, 12, 50)\nplt.scatter(x, y)\nplt.plot(polyline, model(polyline))\nplt.show()<\/strong> <\/pre>\n
\"Python\uc758<\/p>\n
 \ubaa8\ub378 \uacc4\uc218\ub97c \uc778\uc1c4\ud558\uc5ec \uc801\ud569 \ub2e4\ud56d\uc2dd \ud68c\uadc0 \ubc29\uc815\uc2dd\uc744 \uc5bb\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 print(model)\n\npoly1d([ -0.10889554, 2.25592957, -11.83877127, 33.62640038])\n<\/strong><\/pre>\n
 \uc801\ud569 \ub2e4\ud56d\uc2dd \ud68c\uadc0 \ubc29\uc815\uc2dd\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 y = -0.109x 3<\/sup> + 2.256x 2<\/sup> \u2013 11.839x + 33.626<\/strong><\/span><\/p>\n
 \uc774 \ubc29\uc815\uc2dd\uc740 \uc8fc\uc5b4\uc9c4 \uc124\uba85 \ubcc0\uc218 \uac12\uc5d0 \ub300\ud574 \uc751\ub2f5 \ubcc0\uc218\uc758 \uae30\ub300 \uac12\uc744 \ucc3e\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\ub97c \ub4e4\uc5b4 x = 4\ub77c\uace0 \uac00\uc815\ud569\ub2c8\ub2e4. \uc751\ub2f5 \ubcc0\uc218 y\uc758 \uc608\uc0c1 \uac12\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 y = -0.109(4) 3<\/sup> + 2.256(4) 2<\/sup> \u2013 11.839(4) + 33.626= 15.39<\/b> .<\/span><\/p>\n
 \uc608\uce21 \ubcc0\uc218\ub85c \uc124\uba85\ud560 \uc218 \uc788\ub294 \uc751\ub2f5 \ubcc0\uc218\uc758 \ubd84\uc0b0 \ube44\uc728\uc778 \ubaa8\ub378\uc758 R-\uc81c\uacf1\uc744 \uc5bb\uae30 \uc704\ud574 \uc9e7\uc740 \ud568\uc218\ub97c \uc791\uc131\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #define function to calculate r-squared<\/span>\ndef<\/span> polyfit(x, y, degree):\n    results = {}\n    coeffs = numpy.polyfit(x, y, degree)\n    p = numpy.poly1d(coeffs)\n    #calculate r-squared<\/span>\n    yhat = p(x)\n    ybar = numpy.sum(y)\/len(y)\n    ssreg = numpy.sum((yhat-ybar)**2)\n    sstot = numpy.sum((y - ybar)**2)\n    results['r_squared'] = ssreg \/ sstot\n\n    return<\/span> results\n\n#find r-squared of polynomial model with degree = 3\n<\/span>polyfit(x, y, 3)\n\n{'r_squared': 0.9841113454245183}\n<\/strong><\/pre>\n
 \uc774 \uc608\uc5d0\uc11c \ubaa8\ub378\uc758 R \uc81c\uacf1\uc740 0.9841<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774\ub294 \ubc18\uc751 \ubcc0\uc218 \ubcc0\ub3d9\uc758 98.41%<\/strong> \uac00 \uc608\uce21 \ubcc0\uc218\uc5d0 \uc758\ud574 \uc124\uba85\ub420 \uc218 \uc788\uc74c\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
\ud68c\uadc0 \ubd84\uc11d\uc740 \ud558\ub098 \uc774\uc0c1\uc758 \uc124\uba85 \ubcc0\uc218\uc640 \ubc18\uc751 \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\ub97c \uc218\ub7c9\ud654\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uac00\uc7a5 \uc77c\ubc18\uc801\uc778 \uc720\ud615\uc758 \ud68c\uadc0 \ubd84\uc11d\uc740 \ub2e8\uc21c \uc120\ud615 \ud68c\uadc0 \ub85c, \uc608\uce21 \ubcc0\uc218\uc640 \ubc18\uc751 \ubcc0\uc218\uac00 \uc120\ud615 \uad00\uacc4\ub97c \uac00\uc9c8 \ub54c \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \uc608\uce21 \ubcc0\uc218\uc640 \ubc18\uc751 \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\uac00 \ube44\uc120\ud615\uc778 \uacbd\uc6b0\ub3c4 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc2e4\uc81c \uad00\uacc4\ub294 2\ucc28\uc77c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub610\ub294 3\ucc28\uc77c \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uacbd\uc6b0 \ubcc0\uc218 […]<\/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-881","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPython\uc5d0\uc11c \ub2e4\ud56d\uc2dd \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95 - 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