|
11 | 11 | },
|
12 | 12 | {
|
13 | 13 | "cell_type": "code",
|
14 |
| - "execution_count": 12, |
| 14 | + "execution_count": 1, |
15 | 15 | "metadata": {
|
16 | 16 | "collapsed": false
|
17 | 17 | },
|
18 | 18 | "outputs": [
|
19 | 19 | {
|
20 | 20 | "data": {
|
| 21 | + "application/javascript": [ |
| 22 | + "if(window['d3'] === undefined ||\n", |
| 23 | + " window['Nyaplot'] === undefined){\n", |
| 24 | + " var path = {\"d3\":\"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min\",\"downloadable\":\"https://cdn.rawgit.com/domitry/d3-downloadable/master/d3-downloadable\"};\n", |
| 25 | + "\n", |
| 26 | + "\n", |
| 27 | + "\n", |
| 28 | + " var shim = {\"d3\":{\"exports\":\"d3\"},\"downloadable\":{\"exports\":\"downloadable\"}};\n", |
| 29 | + "\n", |
| 30 | + " require.config({paths: path, shim:shim});\n", |
| 31 | + "\n", |
| 32 | + "\n", |
| 33 | + "require(['d3'], function(d3){window['d3']=d3;console.log('finished loading d3');require(['downloadable'], function(downloadable){window['downloadable']=downloadable;console.log('finished loading downloadable');\n", |
| 34 | + "\n", |
| 35 | + "\tvar script = d3.select(\"head\")\n", |
| 36 | + "\t .append(\"script\")\n", |
| 37 | + "\t .attr(\"src\", \"https://cdn.rawgit.com/domitry/Nyaplotjs/master/release/nyaplot.js\")\n", |
| 38 | + "\t .attr(\"async\", true);\n", |
| 39 | + "\n", |
| 40 | + "\tscript[0][0].onload = script[0][0].onreadystatechange = function(){\n", |
| 41 | + "\n", |
| 42 | + "\n", |
| 43 | + "\t var event = document.createEvent(\"HTMLEvents\");\n", |
| 44 | + "\t event.initEvent(\"load_nyaplot\",false,false);\n", |
| 45 | + "\t window.dispatchEvent(event);\n", |
| 46 | + "\t console.log('Finished loading Nyaplotjs');\n", |
| 47 | + "\n", |
| 48 | + "\t};\n", |
| 49 | + "\n", |
| 50 | + "\n", |
| 51 | + "});});\n", |
| 52 | + "}\n" |
| 53 | + ], |
21 | 54 | "text/plain": [
|
22 |
| - "\"== DataFrame ==\\n\"" |
| 55 | + "\"if(window['d3'] === undefined ||\\n window['Nyaplot'] === undefined){\\n var path = {\\\"d3\\\":\\\"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min\\\",\\\"downloadable\\\":\\\"https://cdn.rawgit.com/domitry/d3-downloadable/master/d3-downloadable\\\"};\\n\\n\\n\\n var shim = {\\\"d3\\\":{\\\"exports\\\":\\\"d3\\\"},\\\"downloadable\\\":{\\\"exports\\\":\\\"downloadable\\\"}};\\n\\n require.config({paths: path, shim:shim});\\n\\n\\nrequire(['d3'], function(d3){window['d3']=d3;console.log('finished loading d3');require(['downloadable'], function(downloadable){window['downloadable']=downloadable;console.log('finished loading downloadable');\\n\\n\\tvar script = d3.select(\\\"head\\\")\\n\\t .append(\\\"script\\\")\\n\\t .attr(\\\"src\\\", \\\"https://cdn.rawgit.com/domitry/Nyaplotjs/master/release/nyaplot.js\\\")\\n\\t .attr(\\\"async\\\", true);\\n\\n\\tscript[0][0].onload = script[0][0].onreadystatechange = function(){\\n\\n\\n\\t var event = document.createEvent(\\\"HTMLEvents\\\");\\n\\t event.initEvent(\\\"load_nyaplot\\\",false,false);\\n\\t window.dispatchEvent(event);\\n\\t console.log('Finished loading Nyaplotjs');\\n\\n\\t};\\n\\n\\n});});\\n}\\n\"" |
23 | 56 | ]
|
24 | 57 | },
|
25 | 58 | "metadata": {},
|
26 | 59 | "output_type": "display_data"
|
27 | 60 | },
|
| 61 | + { |
| 62 | + "name": "stdout", |
| 63 | + "output_type": "stream", |
| 64 | + "text": [ |
| 65 | + "== DataFrame ==\n", |
| 66 | + "\n" |
| 67 | + ] |
| 68 | + }, |
28 | 69 | {
|
29 | 70 | "data": {
|
30 | 71 | "text/html": [
|
31 |
| - "<table><tr><th></th><th>a</th><th>b</th><th>c</th><th>d</th></tr><tr><td>0</td><td>-2.440821265161855</td><td>-0.2663867705446803</td><td>-0.9667049163587536</td><td>-0.6247662665284197</td></tr><tr><td>1</td><td>-0.9973263526986711</td><td>0.8965870460177997</td><td>-0.4924093636219239</td><td>-1.0325364294957489</td></tr><tr><td>2</td><td>-0.2744289410160191</td><td>1.8088687531883922</td><td>-0.5910605176882341</td><td>1.3789993200304744</td></tr><tr><td>3</td><td>1.8688690135894495</td><td>-0.5845393024341371</td><td>2.140052050767279</td><td>-0.11879447826728619</td></tr><tr><td>4</td><td>1.0841575504132723</td><td>0.29819461734869424</td><td>0.5801339485682966</td><td>1.935529360750203</td></tr><tr><td>5</td><td>0.8365312603239075</td><td>-2.592250495057871</td><td>-0.5377005060865632</td><td>-1.3156474227148434</td></tr><tr><td>6</td><td>-0.6143096811863075</td><td>0.9303368054803663</td><td>-0.2762842748435172</td><td>0.695374402222615</td></tr><tr><td>7</td><td>0.9288749463298932</td><td>0.17342875610525094</td><td>-0.18948493978562986</td><td>0.5439278783192012</td></tr><tr><td>8</td><td>-1.2315590581627647</td><td>-0.5070225404828463</td><td>0.7560851316374544</td><td>-0.5377282599496545</td></tr><tr><td>9</td><td>-0.8552039210385985</td><td>0.1061517520214962</td><td>-1.2859991357392173</td><td>-0.7772438525282614</td></tr><tr><td>10</td><td>0.109004152753796</td><td>-0.5146703134593364</td><td>1.6338786244674606</td><td>-0.39285194944821017</td></tr></table>" |
| 72 | + "<table><tr><th colspan=\"5\">Daru::DataFrame:13085860 rows: 10 cols: 4<tr><th></th><th>a</th><th>b</th><th>c</th><th>d</th></tr><tr><td>0</td><td>0.9011467513657144</td><td>-2.0698264996309637</td><td>-0.05424188567538422</td><td>-0.21497530674467752</td></tr><tr><td>1</td><td>0.3477390529339665</td><td>1.9693799988325165</td><td>0.6438210000373529</td><td>0.2691070769303308</td></tr><tr><td>2</td><td>1.169337960514499</td><td>-1.2003500655322563</td><td>-1.8876472885285303</td><td>-0.21250262336698017</td></tr><tr><td>3</td><td>-2.0149242228225352</td><td>0.3777196093249942</td><td>0.233921550979305</td><td>0.39979121524058253</td></tr><tr><td>4</td><td>-0.8464428241042591</td><td>-1.4782182304742935</td><td>0.22458711725118236</td><td>-0.33396263618551913</td></tr><tr><td>5</td><td>1.2471920549543476</td><td>-0.887490499184695</td><td>-1.1041991362454315</td><td>1.932482592873003</td></tr><tr><td>6</td><td>-0.8529853403070782</td><td>-0.4909368945208435</td><td>-0.7306423975841205</td><td>0.8578541353085531</td></tr><tr><td>7</td><td>-0.38470545324770017</td><td>0.4812878996742971</td><td>0.565122377348464</td><td>-1.277608770535443</td></tr><tr><td>8</td><td>1.2856180977412772</td><td>-1.288566320945822</td><td>-1.7868746145697005</td><td>1.0500431060289053</td></tr><tr><td>9</td><td>0.5182738763941376</td><td>0.36345933022878907</td><td>-0.46301077093228676</td><td>0.4544283438001362</td></tr></table>" |
32 | 73 | ],
|
33 | 74 | "text/plain": [
|
34 | 75 | "\n",
|
35 |
| - "#<Daru::DataFrame:71846410 @name = a20e6c09-edb7-4bd3-940d-e1dd3b06ac08 @size = 11>\n", |
| 76 | + "#<Daru::DataFrame:13085860 @name = 6af7475c-ef7e-4016-9dd3-d42753234c08 @size = 10>\n", |
36 | 77 | " a b c d \n",
|
37 |
| - " 0 -2.4408212 -0.2663867 -0.9667049 -0.6247662 \n", |
38 |
| - " 1 -0.9973263 0.89658704 -0.4924093 -1.0325364 \n", |
39 |
| - " 2 -0.2744289 1.80886875 -0.5910605 1.37899932 \n", |
40 |
| - " 3 1.86886901 -0.5845393 2.14005205 -0.1187944 \n", |
41 |
| - " 4 1.08415755 0.29819461 0.58013394 1.93552936 \n", |
42 |
| - " 5 0.83653126 -2.5922504 -0.5377005 -1.3156474 \n", |
43 |
| - " 6 -0.6143096 0.93033680 -0.2762842 0.69537440 \n", |
44 |
| - " 7 0.92887494 0.17342875 -0.1894849 0.54392787 \n", |
45 |
| - " 8 -1.2315590 -0.5070225 0.75608513 -0.5377282 \n", |
46 |
| - " 9 -0.8552039 0.10615175 -1.2859991 -0.7772438 \n", |
47 |
| - " 10 0.10900415 -0.5146703 1.63387862 -0.3928519 \n" |
| 78 | + " 0 0.90114675 -2.0698264 -0.0542418 -0.2149753 \n", |
| 79 | + " 1 0.34773905 1.96937999 0.64382100 0.26910707 \n", |
| 80 | + " 2 1.16933796 -1.2003500 -1.8876472 -0.2125026 \n", |
| 81 | + " 3 -2.0149242 0.37771960 0.23392155 0.39979121 \n", |
| 82 | + " 4 -0.8464428 -1.4782182 0.22458711 -0.3339626 \n", |
| 83 | + " 5 1.24719205 -0.8874904 -1.1041991 1.93248259 \n", |
| 84 | + " 6 -0.8529853 -0.4909368 -0.7306423 0.85785413 \n", |
| 85 | + " 7 -0.3847054 0.48128789 0.56512237 -1.2776087 \n", |
| 86 | + " 8 1.28561809 -1.2885663 -1.7868746 1.05004310 \n", |
| 87 | + " 9 0.51827387 0.36345933 -0.4630107 0.45442834 \n" |
48 | 88 | ]
|
49 | 89 | },
|
50 | 90 | "metadata": {},
|
51 | 91 | "output_type": "display_data"
|
52 | 92 | },
|
53 | 93 | {
|
54 |
| - "data": { |
55 |
| - "text/plain": [ |
56 |
| - "\"\\n== Correlation Matrix ==\\n\"" |
57 |
| - ] |
58 |
| - }, |
59 |
| - "metadata": {}, |
60 |
| - "output_type": "display_data" |
| 94 | + "name": "stdout", |
| 95 | + "output_type": "stream", |
| 96 | + "text": [ |
| 97 | + "\n", |
| 98 | + "== Correlation Matrix ==\n", |
| 99 | + "\n" |
| 100 | + ] |
61 | 101 | },
|
62 | 102 | {
|
63 | 103 | "data": {
|
64 | 104 | "text/latex": [
|
65 | 105 | "$$\\left(\\begin{array}{cccc}\n",
|
66 |
| - " 1.0&-0.07093352677886748&0.013477672801161788&0.051849860816432954\\\\\n", |
67 |
| - " -0.07093352677886748&1.0&0.010458169946423295&0.0163511125525614\\\\\n", |
68 |
| - " 0.013477672801161788&0.010458169946423295&1.0&0.01824910238325418\\\\\n", |
69 |
| - " 0.051849860816432954&0.0163511125525614&0.01824910238325418&1.0\\\\\n", |
| 106 | + " 1.0&-0.01467367745077135&0.011913969445518504&-0.0034212506073735397\\\\\n", |
| 107 | + " -0.01467367745077135&1.0&-0.04653177857574501&0.022525025891610012\\\\\n", |
| 108 | + " 0.011913969445518504&-0.04653177857574501&1.0&0.031949296919919545\\\\\n", |
| 109 | + " -0.0034212506073735397&0.022525025891610012&0.031949296919919545&1.0\\\\\n", |
70 | 110 | "\\end{array}\\right)$$"
|
71 | 111 | ],
|
72 | 112 | "text/plain": [
|
73 |
| - "Matrix[[1.0, -0.07093352677886748, 0.013477672801161788, 0.051849860816432954], [-0.07093352677886748, 1.0, 0.010458169946423295, 0.0163511125525614], [0.013477672801161788, 0.010458169946423295, 1.0, 0.01824910238325418], [0.051849860816432954, 0.0163511125525614, 0.01824910238325418, 1.0]]" |
| 113 | + "Matrix[[1.0, -0.01467367745077135, 0.011913969445518504, -0.0034212506073735397], [-0.01467367745077135, 1.0, -0.04653177857574501, 0.022525025891610012], [0.011913969445518504, -0.04653177857574501, 1.0, 0.031949296919919545], [-0.0034212506073735397, 0.022525025891610012, 0.031949296919919545, 1.0]]" |
74 | 114 | ]
|
75 | 115 | },
|
76 | 116 | "metadata": {},
|
|
80 | 120 | "name": "stdout",
|
81 | 121 | "output_type": "stream",
|
82 | 122 | "text": [
|
83 |
| - "Analysis 2015-06-03 15:17:33 +0530\n", |
| 123 | + "Analysis 2016-03-24 11:58:04 +0000\n", |
84 | 124 | "= Statsample::Bivariate.correlation_matrix\n",
|
85 | 125 | "\n"
|
86 | 126 | ]
|
|
143 | 183 | "name": "ruby"
|
144 | 184 | },
|
145 | 185 | "language_info": {
|
146 |
| - "file_extension": "rb", |
| 186 | + "file_extension": ".rb", |
147 | 187 | "mimetype": "application/x-ruby",
|
148 | 188 | "name": "ruby",
|
149 | 189 | "version": "2.2.1"
|
|
0 commit comments