diff --git a/Survey Improvement b/Survey Improvement new file mode 100644 index 0000000..defa72a --- /dev/null +++ b/Survey Improvement @@ -0,0 +1 @@ +SURVEY IMPROVEMENT: It would really help to only allow a survey to be submitted if it is completed. This would make it so incomplete answers do not need to be filtered and would be a much cleaner set of data to work with. diff --git a/example.ipynb b/example.ipynb index 310a50d..32cd78f 100644 --- a/example.ipynb +++ b/example.ipynb @@ -8,12 +8,30 @@ "======\n" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "HYPOTHESIS: I think that the priority will be affected by the repuation of the author. I have this stance because the author is generally important to people when answering a survey and trusting that person with their thoughts and opinions. If one does not trust the reputation of the author, they might not answer the questions completely." + ] + }, { "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": true - }, + "execution_count": 231, + "metadata": {}, + "outputs": [], + "source": [ + "library(MASS)\n", + "library(dplyr)\n", + "library(tidyr)\n", + "library(caret)\n", + "library(datasets)" + ] + }, + { + "cell_type": "code", + "execution_count": 232, + "metadata": {}, "outputs": [], "source": [ "# For nicer printing\n", @@ -22,7 +40,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 233, "metadata": {}, "outputs": [], "source": [ @@ -48,7 +66,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 234, "metadata": {}, "outputs": [ { @@ -298,7 +316,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 235, "metadata": {}, "outputs": [ { @@ -581,6 +599,1499 @@ "cor(data[,sel],method=\"spearman\",use=\"pairwise.complete.obs\"); #OK for any: uses ranks" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This function will filter the surveys to get the completed ones, and then will print the max, min, mean, median completion times. Also, I added the quartiles.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 236, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1] \"Survey time notable values: \"\n", + "[1] \"Max time: 87551 seconds\"\n", + "[1] \"Min time: 51 seconds\"\n", + "[1] \"Average time: 680 seconds\"\n", + "[1] \"Median time: 225 seconds\"\n", + "\n", + "[1] \"Quartiles: 51 seconds\" \"Quartiles: 178 seconds\" \n", + "[3] \"Quartiles: 225 seconds\" \"Quartiles: 310 seconds\" \n", + "[5] \"Quartiles: 87551 seconds\"\n" + ] + } + ], + "source": [ + "#Survey times, max time, min time, average survey time, median, qaurtiles of survey time\n", + "data_complete = filter(data, Completed == TRUE)\n", + "survey_time = data_complete$End - data_complete$Start\n", + "print(paste0(\"Survey time notable values: \"))\n", + "print(paste0(\"Max time: \", max(survey_time), ' seconds'))\n", + "print(paste0(\"Min time: \", min(survey_time), ' seconds'))\n", + "print(paste0(\"Average time: \", round(mean(survey_time)), ' seconds'))\n", + "print(paste0(\"Median time: \", median(survey_time), ' seconds'))\n", + "cat(\"\\n\")\n", + "print(paste0(\"Quartiles: \", quantile(survey_time), ' seconds'))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This cell reads in the data and finds the longest and shortest average question times." + ] + }, + { + "cell_type": "code", + "execution_count": 237, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1] \"The question that took the longest time to complete was PG0 at: 299.35 seconds\"\n", + "[1] \"The question that took the least time to complete was PG11 at: 6.37 seconds\"\n" + ] + } + ], + "source": [ + "#Read in data of questions -- Read in the data of each question into a variable\n", + "question0 <- data[,\"PG0Submit\"]\n", + "question1 <- data[,\"PG1Submit\"]\n", + "question2 <- data[,\"PG2Submit\"]\n", + "question3 <- data[,\"PG3Submit\"]\n", + "question4 <- data[,\"PG4Submit\"]\n", + "question5 <- data[,\"PG5Submit\"]\n", + "question6 <- data[,\"PG6Submit\"]\n", + "question7 <- data[,\"PG7Submit\"]\n", + "question8 <- data[,\"PG8Submit\"]\n", + "question9 <- data[,\"PG9Submit\"]\n", + "question10 <- data[,\"PG10Submit\"]\n", + "question11 <- data[,\"PG11Submit\"]\n", + "question12 <- data[,\"PG12Submit\"]\n", + "\n", + "#get mean for each variable\n", + "means <- c()\n", + "means <- c(means, mean(question0, na.rm = TRUE))\n", + "means <- c(means, mean(question1, na.rm = TRUE))\n", + "means <- c(means, mean(question2, na.rm = TRUE))\n", + "means <- c(means, mean(question3, na.rm = TRUE))\n", + "means <- c(means, mean(question4, na.rm = TRUE))\n", + "means <- c(means, mean(question5, na.rm = TRUE))\n", + "means <- c(means, mean(question6, na.rm = TRUE))\n", + "means <- c(means, mean(question7, na.rm = TRUE))\n", + "means <- c(means, mean(question8, na.rm = TRUE))\n", + "means <- c(means, mean(question9, na.rm = TRUE))\n", + "means <- c(means, mean(question10, na.rm = TRUE))\n", + "means <- c(means, mean(question11, na.rm = TRUE))\n", + "means <- c(means, mean(question12, na.rm = TRUE))\n", + "\n", + "#formatting and output\n", + "most_time = format(round(max(means), 2), nsmall = 2)\n", + "least_time = format(round(min(means), 2), nsmall = 2)\n", + "print(paste0(\"The question that took the longest time to complete was PG0 at: \" ,most_time, \" seconds\"))\n", + "print(paste0(\"The question that took the least time to complete was PG11 at: \" ,least_time, \" seconds\"))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Gets the critical responses, filtered with my variable prefix PG5" + ] + }, + { + "cell_type": "code", + "execution_count": 238, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " PG5_1RRPQ PG5_2BNUI PG5_3HDS \n", + " :335 :381 :225 \n", + " Essential : 59 Essential : 3 Essential :103 \n", + " High Priority :102 High Priority : 25 High Priority :199 \n", + " Low Priority : 85 Low Priority :120 Low Priority : 68 \n", + " Medium Priority:130 Medium Priority: 91 Medium Priority:161 \n", + " Not a Priority : 94 Not a Priority :185 Not a Priority : 49 \n", + " PG5_4VGP PG5_5PHR PG5_6SSYOP \n", + " :311 :213 :310 \n", + " Essential : 22 Essential : 79 Essential : 61 \n", + " High Priority :109 High Priority :247 High Priority :136 \n", + " Low Priority : 87 Low Priority : 63 Low Priority : 83 \n", + " Medium Priority:162 Medium Priority:160 Medium Priority:109 \n", + " Not a Priority :114 Not a Priority : 43 Not a Priority :106 \n", + " PG5_7NDYP PG5_8CP PG5_9FRP \n", + " :392 :174 :197 \n", + " Essential : 8 Essential :228 Essential :165 \n", + " High Priority : 31 High Priority :195 High Priority :241 \n", + " Low Priority : 90 Low Priority : 51 Low Priority : 40 \n", + " Medium Priority: 52 Medium Priority:121 Medium Priority:123 \n", + " Not a Priority :232 Not a Priority : 36 Not a Priority : 39 \n", + " PG5_10RPA PG5_11NSG PG5_12NWG \n", + " :239 :349 :373 \n", + " Essential : 54 Essential : 6 High Priority : 10 \n", + " High Priority :200 High Priority : 28 Low Priority : 76 \n", + " Low Priority : 79 Low Priority : 87 Medium Priority: 25 \n", + " Medium Priority:150 Medium Priority: 68 Not a Priority :321 \n", + " Not a Priority : 83 Not a Priority :267 \n", + " PG5_13NFG \n", + " :377 \n", + " High Priority : 10 \n", + " Low Priority : 75 \n", + " Medium Priority: 37 \n", + " Not a Priority :306 \n", + " \n" + ] + } + ], + "source": [ + "#Get the critical responses --- Filter to see questions where my variable is\n", + "crit_responses = dplyr::select(data_complete, starts_with('PG5'), -ends_with('Time'), -ends_with('Order'), -ends_with('Submit')) \n", + "print(summary(crit_responses))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Age distribution charts -- I used a bar plot and a pie chart" + ] + }, + { + "cell_type": "code", + "execution_count": 239, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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ACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACB\nEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAA\ngRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYA\nAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2\nAACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQ\ndgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACB\nEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAA\ngRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYA\nAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2\nAACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQ\ndgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBqJXuAfZZMplctGjRp59+\nun79+iiKCgoKiouLCwsL0z0XAECaZVLYlZaWjhgxYvTo0atWraqwqqioqF+/frfffnudOnXS\nMhsAQNplTNitWLGipKRk0aJFxcXFXbt2bdasWX5+fjKZXLdu3cKFC6dNmzZ06NAJEyZMnTq1\nUaNG6R4WACANMibshgwZsmzZsvHjx/fq1WvXtWVlZaNGjRo4cODw4cMfeeSR6h8PACDtMubD\nE1OmTLn66qt3W3VRFGVnZw8YMOC73/3uxIkTq3kwAIAaImPCbs2aNS1atKh8m1atWq1cubJ6\n5gEAqGkyJuyaNm06b968yrd57733mjZtWj3zAADUNBkTdj169HjxxRcffvjhrVu37rp248aN\n99xzz+TJk3v37l39swEA1AQZ8+GJYcOGTZ8+ffDgwffee2+HDh0KCwvr1asXRdGGDRsWL148\na9asTZs2dezY8e677073pAAA6ZExYdewYcN33nln5MiRzz777JtvvllWVpZalbquu4QAACAA\nSURBVJOT07Zt2+uvv75v377Z2dlpHBIAII0yJuyiKMrNzR00aNCgQYO2bNmydOnS+JsnGjRo\nUFRUlJubm+7pAADSLJPCLpZMJpcvX7548eLUV4rl5eX5SjEAgEwKO18pBgBQiYwJO18pBgBQ\nuYwJO18pBgBQuYw5j52vFAMAqFzGHLGr4leKTZo0aZ92u3r16ltuuWXHjh2VX3UURclkcp/2\nDABQzTIm7A7RV4rl5eWdeOKJlYddXl5eFEWJRGKf9gwAUM0yJux69Ojx6KOPtm/f/gc/+EFc\nWuVt3LjxZz/72eTJk++444592m2DBg3uv//+yreZOXPmmDFj9m1cAIBqlzFh5yvFAAAqlzFh\n5yvFAAAqlzFhF/lKMQCASmVS2KXUrl27uLh41+Vr1qwpLS1t2bJl9Y8EAJB2GXMeu6p46KGH\ndht8AACHg6DCDgDgcCbsAAACkTHvsWvXrt1et/n888+rYRIAgJopY8Luvffei6IoJyenkm0q\n/wIJAICwZcxLsYMHD65Xr978+fO37Nntt9+e7jEBANImY8Luvvvua9myZZ8+fbZv357uWQAA\naqKMCbucnJyxY8fOnz//rrvuSvcsAAA1Uca8xy6KolatWn3xxReVvJHukksuadiwYXWOBABQ\nc2RS2EVR1KBBg0rWdurUqVOnTtU2DABAjZIxL8UCAFA5YQcAEAhhBwAQCGEHABAIYQcAEAhh\nBwAQCGEHABAIYQcAEAhhBwAQCGEHABAIYQcAEAhhBwAQCGEHABAIYQcAEAhhBwAQCGEHABAI\nYQcAEAhhBwAQCGEHABAIYQcAEAhhBwAQCGEHABAIYQcAEAhhBwAQCGEHABAIYQcAEAhhBwAQ\nCGEHABAIYQcAEAhhBwAQCGEHABAIYQcAEAhhBwAQCGEHABAIYQcAEIha6R4AANij9x/fumHp\nznRPEYjml+YcWxJ4+QR+8wAgo8375ZYPvqr1VVki3YNkvBPyynZuj4QdAJBOv/8q7/3N/nt9\noPodtfmsdM9QDbzHDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4A\nIBDOZA3UCGs/Klv7iS/EPDgatsxq+LXsdE8BpIGwA2qEt+/YvPy9nduT6Z4j8+UkoqZfz7p0\nUn66BwHSQNgBNUKyLJq0Nu+1r/LSPUjGu6Rg64Cy7emeAkgP77EDAAiEsAMACISwAwAIhLAD\nAAiEsAMACISwAwAIhLADAAiEsAMACISwAwAIhLADAAiEsAMACISwAwAIhLADAAiEsAMACISw\nAwAIhLADAAiEsAMACISwAwAIhLADAAiEsAMACISwAwAIhLADAAiEsAMACISwAwAIhLADAAiE\nsAMACISwAwAIhLADAAiEsAMACISwAwAIhLADAAiEsAMACISwAwAIhLADAAiEsAMACISwAwAI\nhLADAAiEsAMACISwAwAIhLADAAiEsAMACISwAwAIhLADAAiEsAMACISwAwAIhLADAAiEsAMA\nCISwAwAIhLADAAiEsAMACISwAwAIhLADAAiEsAMACISwAwAIhLADAAiEsAMACISwAwAIhLAD\nAAiEsAMACISwAwAIhLADAAiEsAMACISwAwAIhLADAAiEsAMACISwAwAIhLADAAiEsAMACISw\nAwAIhLADAAiEsAMACISwAwAIhLADAAiEsAMACEStdA9w2Fn82vbP/rA93VMEom6TrPZDaqd7\nCgCoKYRddVv2PztmvLxz3ma/+QN1dK2dZx+xVdgBQErm5UUymVy0aNGnn366fv36KIoKCgqK\ni4sLCwvTPdc++Gxb9oulcuRAnV5nx9lHOPYJAP9PJoVdaWnpiBEjRo8evWrVqgqrioqK+vXr\nd/vtt9epUyctswEApF3GhN2KFStKSkoWLVpUXFzctWvXZs2a5efnJ5PJdevWLVy4cNq0aUOH\nDp0wYcLUqVMbNWqU7mEBANIgY8JuyJAhy5YtGz9+fK9evXZdW1ZWNmrUqIEDBw4fPvyRRx6p\n/vEAANIuY053MmXKlKuvvnq3VRdFUXZ29oABA7773e9OnDixmgcDAKghMibs1qxZ06JFi8q3\nadWq1cqVK6tnHgCAmiZjwq5p06bz5s2rfJv33nuvadOm1TMPAEBNkzFh16NHjxdffPHhhx/e\nunXrrms3btx4zz33TJ48uXfv3tU/GwBATZAxH54YNmzY9OnTBw8efO+993bo0KGwsLBevXpR\nFG3YsGHx4sWzZs3atGlTx44d77777nRPCgCQHhkTdg0bNnznnXdGjhz57LPPvvnmm2VlZalV\nOTk5bdu2vf766/v27ZudnZ3GIQEA0ihjwi6Kotzc3EGDBg0aNGjLli1Lly6Nv3miQYMGRUVF\nubm5+7fPrVu3jh07dseOHZVss3Dhwv3bOQBAdcqksEupXbt2cXFxFEXbtm2bN2/e0qVLmzdv\nfsIJJ+zHrlavXj1q1Kjyx/92tWHDhiiKksnk/k0LAFA9Mibs7r///pKSkvPPPz+1ZNSoUXfe\neWdpaWn8Y9u2bZ944ok2bdrs026PP/74P//5z5VvM3PmzJKSkkQisa8zAwBUp4z5VOyQIUNe\nf/311I9jxozp37//pk2bvvOd79x4440lJSVz5szp3Lmzl00BgMNWxhyxq2DYsGEFBQXvvPNO\nq1at4iUTJ0684oorRowY8dRTT6V3NgCAtMiYI3blrV69euHChTfffHOq6qIo6tmzZ/fu3d94\n4400DgYAkEYZGXZbtmyJoqh81cVOP/30VatWpWMiAID0y8iwa9q0aUFBwbJlyyos//zzz+vX\nr5+WkQAA0i6Twm7JkiWzZ8/+5JNPSktLBwwY8OSTT27atCm19sMPP3zhhRdKSkrSOCEAQBpl\n0ocnxo0bN27cuPJLXnvttcsvvzyKoueee+6GG27YvHnzkCFD0jQdAECaZUzYPf3002vL+eqr\nr9auXduoUaN47dq1axs2bPj888+3b98+vXMCAKRLxoTdtddeW8naa665pn///llZmfTKMgDA\nwZUxYVe5/Pz8dI8AAJBmDnEBAARC2AEABELYAQAEQtgBAARC2AEABELYAQAEQtgBAARC2AEA\nBELYAQAEQtgBAARC2AEABELYAQAEQtgBAARC2AEABELYAQAEQtgBAARC2AEABELYAQAEQtgB\nAARC2AEABELYAQAEQtgBAARC2AEABELYAQAEQtgBAARC2AEABELYAQAEQtgBAARC2AEABELY\nAQAEQtgBAARC2AEABELYAQAEQtgBAARC2AEABELYAQAEQtgBAARC2AEABELYAQAEQtgBAARC\n2AEABELYAQAEQtgBAARC2AEABELYAQAEQtgBAARC2AEABELYAQAEQtgBAARC2AEABELYAQAE\nQtgBAARC2AEABELYAQAEQtgBAARC2AEABELYAQAEQtgBAARC2AEABELYAQAEQtgBAARC2AEA\nBELYAQAEQtgBAARC2AEABELYAQAEQtgBAARC2AEABELYAQAEQtgBAARC2AEABELYAQAEQtgB\nAARC2AEABELYAQAEQtgBAARC2AEABELYAQAEQtgBAARC2AEABEL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1za233jp69Ohhw4Z997vfjZ/bY1X/Y6vcfj9Xe7DUHMIuKF26dOnS\npcvWrVunT58+ZsyYZ5999sILL5w/f378ntM9rU291Pitb33rUEy1ZcuWRx55pLCwcOrUqfn5\n+fHCr7766lBcV3WKc23Lli3lF27atKmsrOzAd965c+cDObtN/Hve9dk8XrKnF5erol+/fgMH\nDpwyZcq55547bdq0O++8s4ovixxcVbmBF1100c9//vOZM2euXLkykUicd955URSde+658euz\nb775ZqdOnSp8zKUC9wI1Ta1atX7zm9+UlJT84Ac/eOWVV1L3+0H5YzuQ52oPlpoj8Jt3eMrL\ny7vwwgufeeaZ/v37f/LJJ3Pnzq187THHHHPUUUd9+OGHa9euLb/l6tWrD8o8X3zxxebNm9u1\na5d6poiiKPV528zVpEmTrKysxYsXl1/45z//OV3zlNekSZMjjjjigw8+SP7reVUWLFiQSCT2\n6bWMCq666qratWu/8MILL7zwws6dO9P14bKq3MDzzjsvLy9vxowZU6dOPfXUU+MP6HXs2PHP\nf/7zokWLPv7446q/we7QDbl/asi9QFqcffbZ/fr1+/3vfz9p0qTU/5kclD+2ND5Xe7AcRMIu\nEO++++5xxx1X4XPd8f+X5OTkVL42iqJevXpt2bIl/vRTbPXq1a1bt/72t79dxQHi1x93+9ax\nxo0bJxKJ8u+9nTt3bjxMhcNdmSU3N7ddu3Z/+9vfPvzww3jJzp07f/azn6V3qpSePXuuWLFi\n8uTJqSVz586dNWtWly5dGjZsWJU97PY+bdiw4eWXX/7qq68+88wz5557bhrP8L7XG1inTp2S\nkpJ333136tSpnTp1irfp2LHj1q1b47co7euJTg7FkHtVw+8F0uLBBx88+uijf/jDH5bPoL3+\nsVXyLB1L73O1B8vB4qXYjPHf//3fFY6opVx66aXnn3/+EUcc8e///u8zZsxo06ZNIpGYPXt2\n/Hfcpk2bsrKyStZGUTRs2LApU6bcc889S5YsOffcc5cvX/6b3/xmzZo1qRPd7VV8SqGf/vSn\nixYt6tixY/v27VOr6tate+mll/7hD3/o379/586dFyxY8Ktf/Wrs2LHdunWbMmXKuHHjunXr\ndsC/nvQYPHhwr169unbtOmDAgAYNGrz00ktNmzatIV+PO3z48D/84Q9XX331D3/4w5NOOumz\nzz4bOXJkfn7+f/3Xf1VxD3u6T/v16zd27Ni5c+c+8cQTh2r6/7XbP/vu3buff/75VbmBF110\n0f33379x48ZU2J166qlHHHHE008/XVRUdPLJJx/q+cO4F6hpGjVq9PDDD8enKUi9j22vf2yV\nPEvHqvJcvevb4A4WD5aDJj1nWWFfxGcJqkT8TQZr1qy59dZbW7RoUbdu3YKCgjPOOOPuu+9e\nv359vJPK1yaTyRUrVtx0002FhYW1atVq2LBh165dp0+fnlobfzL0448/Lj9YQUHBqaeeGl/e\ntm3b5ZdfXqdOnUaNGr344ovJfz290KpVq773ve8dffTRBQUFXbp0ifc8fPjw/Pz8Jk2arFix\nIkPPY5dMJp988smTTjopNze3WbNmd99997Zt23Jzc88555x47V5/b/s0SXm73XOF2ZYsWdK3\nb99jjz22Vq1ajRs37tOnz4IFC6q+h13v05SioqK6deuuW7eu8iEPRCV/9g899FBVbmAymZw9\ne3b8T7744ovUwvg4dL9+/fZ67e4F0q78eewqiD+skHpqSu7tj62Sv6WUvT5X72lCD5aaI5Hc\n9682AvZk3bp1BQUF3bp1K/+CQmCWLl3aokWL66+//vHHH0/3LIcv9wJU0eH2YPEeO9h/Tz/9\ndOfOneMvk4jFJ0yq/CQame62226LomjQoEHpHuSw5l6AKjrcHizeYwf775RTTnn33Xcvu+yy\nm266qWnTpu+9995vf/vboqKif//3f0/3aAffJ5988sYbb0yePPmNN94YOnTo1772tXRPdDhy\nL0AVHbYPFi/FwgF5++23R4wYMWfOnNLS0saNG1988cX33Xdf+bM6B2PixIlXXHHFUUcddeON\nNw4fPjz4c0HVTO4FqKLD9sEi7AAAAnG4BCwAQPCEHQBAIIQdAEAghB0AQCCE3f/Xbh3IAAAA\nAAzyt77HVxQBAEyIHQDAhNgBAEyIHQDAhNgBAEyIHQDAhNgBAEyIHQDAhNgBAEyIHQDAhNgB\nAEyIHQDAhNgBAEyIHQDAhNgBAEyIHQDAhNgBAEyIHQDAhNgBAEyIHQDAhNgBAEyIHQDAhNgB\nAEyIHQDAhNgBAEyIHQDAhNgBAEyIHQDAhNgBAEyIHQDAhNgBAEyIHQDAhNgBAEyIHQDAhNgB\nAEyIHQDAhNgBAEyIHQDAhNgBAEyIHQDAhNgBAEyIHQDAhNgBAEyIHQDAhNgBAEyIHQDAhNgB\nAEyIHQDAhNgBAEyIHQDAhNgBAEyIHQDAhNgBAEyIHQDAhNgBAEyIHQDAZ9o/QwAAAERJREFU\nhNgBAEyIHQDAhNgBAEyIHQDAhNgBAEyIHQDAhNgBAEyIHQDAhNgBAEyIHQDAhNgBAEyIHQDA\nhNgBAEyIHQDAREhRrwb0tjMFAAAAAElFTkSuQmCC", + "text/plain": [ + "Plot with title \"Distribution by Age\"" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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RsMTdPVHyb9rYS9e/dOTU3dsGGDrq5u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\nc8aNGztq1I0bNzDVAXwBK3YAzCEmJmbp0qVyAwZ4hYTIDxxIO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ycnJzc3N2/YsOFPf/qTwWBITk62sRniv3djxowRQqxcudLX1/fgwYNb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\nSRB2AAAAkvh/OWs/ps4W2RYAAAAASUVORK5CYII=", + "text/plain": [ + "Plot with title \"Distribution by Age\"" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Age distributions for my response -- FILTER bad responses\n", + "age = dplyr::select(data_complete, PG5_10RPA) %>%\n", + " filter(PG5_10RPA != '')\n", + "\n", + "age1 = factor(age[,])\n", + "#Bar plot\n", + "barplot(table(age1), main = 'Distribution by Age', border=\"purple\", col=\"blue\")\n", + "#pie chart\n", + "pie(table(age1), main = 'Distribution by Age')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Filter the responses by the most common for my question -- I filter N/A's here as well in my summary" + ] + }, + { + "cell_type": "code", + "execution_count": 240, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Device Start End PG0Dis \n", + " : 0 Min. :1.54e+09 Min. :1.54e+09 Min. : 0 \n", + " Bot : 0 1st Qu.:1.54e+09 1st Qu.:1.54e+09 1st Qu.: 0 \n", + " PC :323 Median :1.54e+09 Median :1.54e+09 Median : 1 \n", + " Phone : 88 Mean :1.54e+09 Mean :1.54e+09 Mean : 45 \n", + " Tablet : 5 3rd Qu.:1.54e+09 3rd Qu.:1.54e+09 3rd Qu.: 24 \n", + " Unknown: 0 Max. :1.54e+09 Max. :1.54e+09 Max. :168 \n", + " \n", + " PG0Shown PG0Submit PG1PsnUse \n", + " Min. : 0 Min. : 2 For personal work and/or research use:290 \n", + " 1st Qu.: 0 1st Qu.: 6 :120 \n", + " Median : 118 Median : 10 Chapter book : 1 \n", + " Mean : 266 Mean : 62 Learning how to create a package : 1 \n", + " 3rd Qu.: 463 3rd Qu.: 16 Teaching : 1 \n", + " Max. :1190 Max. :11060 dissertation research : 1 \n", + " (Other) : 2 \n", + " PG1Trn PG1Submit PG2Resp \n", + " :347 Min. : 1 : 9 \n", + " For a training / class that I took: 68 1st Qu.: 12 No :171 \n", + " teaching economics : 1 Median : 17 Not sure:131 \n", + " Mean : 32 Yes :105 \n", + " 3rd Qu.: 31 \n", + " Max. :819 \n", + " \n", + " PG2Submit \n", + " Min. : 1 \n", + " 1st Qu.: 9 \n", + " Median : 14 \n", + " Mean : 33 \n", + " 3rd Qu.: 33 \n", + " Max. :1470 \n", + " \n", + " PG2Resp.1 \n", + " The core \"data.frame\" object lacked functionality that I needed :168 \n", + " Chose the package to be compatible with other packages in my project : 72 \n", + " I saw a recommendation for the package : 61 \n", + " I didn't choose to use the package, it was included implicitly / unintentionally: 14 \n", + " : 11 \n", + " Speed : 3 \n", + " (Other) : 87 \n", + " PG3Submit PG4AllResp PG4Submit PG5_1Order \n", + " Min. : 1 Min. : 0.0 Min. : 3 Min. : 1.0 \n", + " 1st Qu.: 16 1st Qu.: 8.0 1st Qu.: 6 1st Qu.: 4.0 \n", + " Median : 23 Median : 9.0 Median : 7 Median : 7.0 \n", + " Mean : 47 Mean : 8.5 Mean : 9 Mean : 7.5 \n", + " 3rd Qu.: 42 3rd Qu.:10.0 3rd Qu.: 10 3rd Qu.:11.0 \n", + " Max. :4648 Max. :10.0 Max. :111 Max. :20.0 \n", + " \n", + " PG5_1Time PG5Submit PG6Resp PG6Submit \n", + " 2018-10-11 13:29:20: 2 Min. : 17 : 2 Min. : 1 \n", + " 2018-10-11 13:32:57: 2 1st Qu.: 58 13 - 19 years : 22 1st Qu.: 7 \n", + " 2018-10-11 13:25:52: 1 Median : 70 2 - 5 years :174 Median : 9 \n", + " 2018-10-11 13:27:25: 1 Mean : 85 20 years or more : 23 Mean :11 \n", + " 2018-10-11 13:27:44: 1 3rd Qu.: 89 6 - 8 years : 51 3rd Qu.:13 \n", + " 2018-10-11 13:28:05: 1 Max. :1371 9 - 12 years : 37 Max. :94 \n", + " (Other) :408 Less than 2 years:107 \n", + " PG7R PG7C.C.. PG7Java PG7Python PG7Javascript PG7Go \n", + " R :351 :368 :396 :303 :393 :414 \n", + " : 30 C/C++: 48 Java : 19 Python:113 Javascript: 23 Go: 2 \n", + " Perl : 5 Cobol: 0 scala: 1 perl : 0 sql : 0 \n", + " SQL : 4 \n", + " matlab : 4 \n", + " PHP : 3 \n", + " (Other): 19 \n", + " PG7C. PG7Other PG7Submit PG8Resp PG8Submit \n", + " :404 :377 Min. : 1 Data Scientist :196 Min. : 1 \n", + " C#: 12 Other : 37 1st Qu.: 6 Software Engineer: 25 1st Qu.: 5 \n", + " Ruby : 1 Median : 8 Student : 19 Median : 8 \n", + " perl : 1 Mean : 12 : 15 Mean : 12 \n", + " Matlab : 0 3rd Qu.: 11 Professor : 8 3rd Qu.: 14 \n", + " PHP : 0 Max. :777 PhD student : 7 Max. :207 \n", + " (Other): 0 (Other) :146 \n", + " PG9Resp PG9Submit \n", + " 2 - 3 :115 Min. : 1 \n", + " 4 - 6 : 92 1st Qu.: 7 \n", + " 7 - 10 : 60 Median : 10 \n", + " 1 : 53 Mean : 61 \n", + " More than 25: 43 3rd Qu.: 14 \n", + " 11 - 15 : 31 Max. :20126 \n", + " (Other) : 22 \n", + " PG10Resp PG10Submit\n", + " : 9 Min. : 1 \n", + " Native :223 1st Qu.: 5 \n", + " Not native - full working proficiency :135 Median : 7 \n", + " Not native - limited working proficiency : 7 Mean : 9 \n", + " Not native - passable : 2 3rd Qu.:10 \n", + " Not native - sufficient working proficiency: 39 Max. :43 \n", + " Not native - very limited : 1 \n", + " PG11Resp PG11Submit PG12Resp PG12Submit\n", + " : 15 Min. : 1 : 25 Min. : 2 \n", + " Female : 53 1st Qu.: 4 18 - 24 : 16 1st Qu.: 4 \n", + " Male :332 Median : 4 25 - 34 :183 Median : 5 \n", + " Prefer not to answer: 16 Mean : 6 35 - 44 :125 Mean : 6 \n", + " 3rd Qu.: 5 45 - 54 : 48 3rd Qu.: 6 \n", + " Max. :243 55 - 64 : 16 Max. :42 \n", + " 65 and over: 3 \n", + " Device Start End PG0Dis \n", + " : 0 Min. :1.54e+09 Min. :1.54e+09 Min. : 0 \n", + " Bot : 0 1st Qu.:1.54e+09 1st Qu.:1.54e+09 1st Qu.: 0 \n", + " PC :547 Median :1.54e+09 Median :1.54e+09 Median : 1 \n", + " Phone :170 Mean :1.54e+09 Mean :1.54e+09 Mean : 44 \n", + " Tablet : 13 3rd Qu.:1.54e+09 3rd Qu.:1.54e+09 3rd Qu.: 24 \n", + " Unknown: 0 Max. :1.54e+09 Max. :1.54e+09 Max. :168 \n", + " \n", + " PG0Shown PG0Submit \n", + " Min. : 0 Min. : 2 \n", + " 1st Qu.: 0 1st Qu.: 6 \n", + " Median : 118 Median : 10 \n", + " Mean : 262 Mean : 163 \n", + " 3rd Qu.: 444 3rd Qu.: 15 \n", + " Max. :1190 Max. :66474 \n", + " \n", + " PG1PsnUse \n", + " For personal work and/or research use :509 \n", + " :209 \n", + " Chapter book : 1 \n", + " For training attendees of my sessions : 1 \n", + " It's a coures on tidyverse that I developed: 1 \n", + " Learning how to create a package : 1 \n", + " (Other) : 8 \n", + " PG1Trn PG1Submit PG2Resp \n", + " :597 Min. : 1 : 19 \n", + " For a training / class that I took:132 1st Qu.: 11 No :292 \n", + " teaching economics : 1 Median : 16 Not sure:219 \n", + " Mean : 44 Yes :200 \n", + " 3rd Qu.: 31 \n", + " Max. :6892 \n", + " \n", + " PG2Submit \n", + " Min. : 1 \n", + " 1st Qu.: 9 \n", + " Median : 13 \n", + " Mean : 29 \n", + " 3rd Qu.: 30 \n", + " Max. :1470 \n", + " \n", + " PG2Resp.1 \n", + " The core \"data.frame\" object lacked functionality that I needed :296 \n", + " I saw a recommendation for the package :119 \n", + " Chose the package to be compatible with other packages in my project :115 \n", + " I didn't choose to use the package, it was included implicitly / unintentionally: 25 \n", + " : 16 \n", + " Speed : 4 \n", + " (Other) :155 \n", + " PG3Submit PG4AllResp PG4Submit PG5_10RPA \n", + " Min. : 1 Min. : 0.0 Min. : 3 :219 \n", + " 1st Qu.: 16 1st Qu.: 8.0 1st Qu.: 6 Essential : 49 \n", + " Median : 24 Median : 9.0 Median : 7 High Priority :182 \n", + " Mean : 42 Mean : 8.5 Mean : 9 Low Priority : 69 \n", + " 3rd Qu.: 41 3rd Qu.:10.0 3rd Qu.: 10 Medium Priority:139 \n", + " Max. :4648 Max. :10.0 Max. :332 Not a Priority : 72 \n", + " \n", + " PG5_1RRPQ PG5_1Time PG5Submit \n", + " :314 :314 Min. : 3 \n", + " Essential : 48 2018-10-11 13:29:20: 2 1st Qu.: 45 \n", + " High Priority : 93 2018-10-11 13:32:57: 2 Median : 61 \n", + " Low Priority : 80 2018-10-11 13:25:52: 1 Mean : 86 \n", + " Medium Priority:114 2018-10-11 13:27:25: 1 3rd Qu.: 83 \n", + " Not a Priority : 81 2018-10-11 13:27:44: 1 Max. :4130 \n", + " (Other) :409 \n", + " PG6Resp PG6Submit PG7R PG7C.C.. PG7Java \n", + " : 5 Min. : 1 R :619 :652 :684 \n", + " 13 - 19 years : 42 1st Qu.: 7 : 62 C/C++: 77 Java : 45 \n", + " 2 - 5 years :296 Median : 9 Perl : 5 Cobol: 1 scala: 1 \n", + " 20 years or more : 42 Mean : 26 SQL : 5 \n", + " 6 - 8 years :103 3rd Qu.: 12 PHP : 4 \n", + " 9 - 12 years : 66 Max. :5759 Ruby : 4 \n", + " Less than 2 years:176 (Other): 31 \n", + " PG7Python PG7Javascript PG7Go PG7C. PG7Other PG7Submit \n", + " :534 :686 :728 :708 :668 Min. : 1 \n", + " Python:195 Javascript: 43 Go: 2 C#: 22 Other : 55 1st Qu.: 6 \n", + " perl : 1 sql : 1 PHP : 2 Median : 8 \n", + " Matlab : 1 Mean : 11 \n", + " Ruby : 1 3rd Qu.: 11 \n", + " SAS : 1 Max. :777 \n", + " (Other): 2 \n", + " PG8Resp PG8Submit PG9Resp PG9Submit \n", + " Data Scientist :342 Min. : 1 2 - 3 :211 Min. : 1 \n", + " Software Engineer: 50 1st Qu.: 5 4 - 6 :147 1st Qu.: 8 \n", + " Student : 24 Median : 8 7 - 10 :107 Median : 10 \n", + " : 22 Mean : 12 1 : 87 Mean : 43 \n", + " Researcher : 12 3rd Qu.: 14 More than 25: 86 3rd Qu.: 14 \n", + " Professor : 9 Max. :207 11 - 15 : 55 Max. :20126 \n", + " (Other) :271 (Other) : 37 \n", + " PG10Resp PG10Submit \n", + " : 18 Min. : 1 \n", + " Native :381 1st Qu.: 6 \n", + " Not native - full working proficiency :240 Median : 7 \n", + " Not native - limited working proficiency : 14 Mean : 9 \n", + " Not native - passable : 4 3rd Qu.: 10 \n", + " Not native - sufficient working proficiency: 71 Max. :285 \n", + " Not native - very limited : 2 \n", + " PG11Resp PG11Submit PG12Resp PG12Submit \n", + " : 25 Min. : 1 : 40 Min. : 1 \n", + " Female : 88 1st Qu.: 4 18 - 24 : 30 1st Qu.: 4 \n", + " Male :590 Median : 4 25 - 34 :312 Median : 5 \n", + " Prefer not to answer: 27 Mean : 6 35 - 44 :229 Mean : 8 \n", + " 3rd Qu.: 5 45 - 54 : 80 3rd Qu.: 6 \n", + " Max. :605 55 - 64 : 31 Max. :1566 \n", + " 65 and over: 8 \n" + ] + } + ], + "source": [ + "set1 = c('Device' ,'Start','End','PG0Dis','PG0Shown','PG0Submit','PG1PsnUse','PG1Trn',\n", + "'PG1Submit' ,'PG2Resp','PG2Submit','PG2Resp.1' ,'PG3Submit' , \n", + "'PG4AllResp','PG4Submit','PG5_1Order','PG5_1Time','PG5Submit','PG6Resp','PG6Submit','PG7R','PG7C.C..','PG7Java','PG7Python','PG7Javascript',\n", + "'PG7Go','PG7C.','PG7Other','PG7Submit','PG8Resp','PG8Submit','PG9Resp','PG9Submit','PG10Resp','PG10Submit',\n", + "'PG11Resp','PG11Submit','PG12Resp','PG12Submit')\n", + "\n", + "set2 = c('Device' ,'Start','End','PG0Dis','PG0Shown','PG0Submit','PG1PsnUse','PG1Trn',\n", + "'PG1Submit' ,'PG2Resp','PG2Submit','PG2Resp.1' ,'PG3Submit' ,\n", + "'PG4AllResp','PG4Submit', 'PG5_10RPA',\n", + "'PG5_1RRPQ','PG5_1Time','PG5Submit','PG6Resp','PG6Submit','PG7R','PG7C.C..','PG7Java','PG7Python','PG7Javascript',\n", + "'PG7Go','PG7C.','PG7Other','PG7Submit','PG8Resp','PG8Submit','PG9Resp','PG9Submit','PG10Resp','PG10Submit',\n", + "'PG11Resp','PG11Submit','PG12Resp','PG12Submit')\n", + "\n", + "df = dplyr::select(data_complete, set1) %>%\n", + " na.omit()\n", + "print(summary(df))\n", + "\n", + "df1 = dplyr::select(data_complete, set2) %>%\n", + " na.omit()\n", + "print(summary(df1))\n", + "#Desired response model\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "After filtering, here is a chart for the Author's reputation" + ] + }, + { + "cell_type": "code", + "execution_count": 241, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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CompletedEndPG0DisPG0ShownPG2Resp.1PG3SubmitPG4Prm9_10PG4AllRespPG4SubmitPG5_1RRPQ...PG8RespPG8SubmitPG9RespPG9SubmitPG10RespPG10SubmitPG11RespPG11SubmitPG12RespPG12Submit
Completed 1.0000 0.880 -0.00957 0.013110.7359 0.743 0.5312 0.7652 0.7466 0.5703 ... 0.8601 0.876 0.8601 0.8730 0.8783 0.8744 0.9081 0.8870 0.8518 0.885
End 0.8796 1.000 0.01515 0.014450.6558 0.665 0.4581 0.6643 0.6589 0.4681 ... 0.7650 0.779 0.7672 0.7767 0.7727 0.7815 0.7923 0.7983 0.7624 0.796
PG0Dis-0.0096 0.015 1.00000 0.890920.0078 0.024 -0.0093 -0.0013 -0.0270 -0.0058 ... -0.0139 0.014 -0.0022 0.0038 -0.0023 -0.0159 -0.0152 -0.0142 -0.0183 0.016
PG0Shown 0.0131 0.014 0.89092 1.000000.0259 0.046 -0.0033 0.0108 -0.0054 0.0073 ... 0.0036 0.032 0.0207 0.0215 0.0078 -0.0014 0.0082 -0.0027 -0.0051 0.033
PG2Resp.1 0.7359 0.656 0.00778 0.025851.0000 0.729 0.4421 0.6674 0.6761 0.4281 ... 0.6437 0.646 0.6600 0.6605 0.6571 0.6501 0.6915 0.6679 0.6479 0.668
PG3Submit 0.7431 0.665 0.02376 0.045970.7293 1.000 0.4383 0.6704 0.7515 0.4412 ... 0.6479 0.697 0.6384 0.7170 0.6763 0.6923 0.6882 0.6910 0.6361 0.696
PG4Prm9_10 0.5312 0.458 -0.00930-0.003330.4421 0.438 1.0000 0.8805 0.3759 0.3202 ... 0.4155 0.414 0.4802 0.4521 0.4275 0.4181 0.4785 0.4332 0.4488 0.444
PG4AllResp 0.7652 0.664 -0.00132 0.010790.6674 0.670 0.8805 1.0000 0.6667 0.4527 ... 0.6354 0.645 0.6801 0.6722 0.6630 0.6549 0.6942 0.6545 0.6465 0.659
PG4Submit 0.7466 0.659 -0.02698-0.005430.6761 0.752 0.3759 0.6667 1.0000 0.4491 ... 0.6742 0.705 0.6338 0.7399 0.7324 0.7516 0.6934 0.7248 0.6395 0.715
PG5_1RRPQ 0.5703 0.468 -0.00579 0.007300.4281 0.441 0.3202 0.4527 0.4491 1.0000 ... 0.4874 0.498 0.4910 0.5072 0.4857 0.4869 0.5148 0.4964 0.4683 0.505
PG5_1Order 0.5726 0.477 -0.00539 0.006180.4341 0.442 0.3310 0.4602 0.4481 0.9606 ... 0.4940 0.499 0.4943 0.5089 0.4938 0.4968 0.5195 0.5013 0.4682 0.514
PG5_1Time 0.5711 0.562 0.01075 0.019320.4261 0.441 0.3064 0.4454 0.4466 0.9383 ... 0.4970 0.502 0.5000 0.5064 0.4944 0.5065 0.5065 0.5045 0.4689 0.517
PG5_2BNUI 0.5319 0.444 -0.00974-0.003370.4028 0.403 0.3205 0.4415 0.4027 0.8605 ... 0.4590 0.451 0.4512 0.4506 0.4503 0.4387 0.4907 0.4578 0.4401 0.465
PG5_2Order 0.5332 0.448 -0.01260-0.008360.4103 0.398 0.3170 0.4428 0.4048 0.8438 ... 0.4535 0.449 0.4618 0.4527 0.4603 0.4520 0.4851 0.4646 0.4399 0.472
PG5_2Time 0.5305 0.522 0.00687 0.006800.4024 0.400 0.3070 0.4326 0.4079 0.8328 ... 0.4576 0.453 0.4637 0.4529 0.4548 0.4502 0.4808 0.4633 0.4413 0.473
PG5_3HDS 0.6683 0.602 -0.00140-0.003480.5056 0.494 0.3944 0.5420 0.5209 0.7069 ... 0.5557 0.594 0.5821 0.6015 0.5809 0.5824 0.6211 0.5894 0.5785 0.615
PG5_3Order 0.6659 0.594 -0.00207-0.008140.5077 0.488 0.4139 0.5561 0.5071 0.7466 ... 0.5663 0.588 0.5778 0.5909 0.5794 0.5760 0.6200 0.5777 0.5611 0.607
PG5_3Time 0.6687 0.727 0.00653-0.008700.5025 0.492 0.4017 0.5444 0.4969 0.6566 ... 0.5640 0.593 0.5924 0.5926 0.5705 0.5743 0.6051 0.5799 0.5772 0.613
PG5_4VGP 0.5905 0.510 0.00088-0.000990.4401 0.451 0.3470 0.4852 0.4581 0.7797 ... 0.5078 0.510 0.5119 0.5007 0.5044 0.4973 0.5311 0.5150 0.4802 0.517
PG5_4Order 0.5915 0.521 -0.00245-0.000850.4462 0.454 0.3666 0.4987 0.4552 0.7957 ... 0.5009 0.511 0.5124 0.5054 0.5112 0.5019 0.5261 0.5071 0.4793 0.511
PG5_4Time 0.5890 0.607 0.01836 0.014060.4374 0.464 0.3594 0.4928 0.4586 0.7344 ... 0.5090 0.511 0.5185 0.5084 0.5126 0.5089 0.5242 0.5139 0.4787 0.518
PG5_5PHR 0.6762 0.588 0.00662 0.005790.5284 0.525 0.4106 0.5690 0.5131 0.6925 ... 0.6099 0.612 0.5900 0.5986 0.5613 0.5722 0.6245 0.5864 0.5598 0.597
PG5_5Order 0.6760 0.585 0.00980 0.014660.5160 0.524 0.4167 0.5696 0.5051 0.7464 ... 0.5958 0.597 0.5921 0.5779 0.5584 0.5643 0.6191 0.5799 0.5731 0.599
PG5_5Time 0.6740 0.721 0.03829 0.034040.5032 0.530 0.4265 0.5745 0.4891 0.6412 ... 0.5909 0.597 0.5999 0.5818 0.5416 0.5561 0.6117 0.5761 0.5707 0.609
PG5_6SSYOP 0.5948 0.522 0.00642 0.012830.4455 0.465 0.3479 0.4872 0.4686 0.7809 ... 0.5267 0.514 0.5176 0.5183 0.5131 0.5078 0.5297 0.5159 0.4957 0.521
PG5_6Order 0.5940 0.525 0.00242 0.009790.4424 0.461 0.3368 0.4791 0.4763 0.7919 ... 0.5200 0.515 0.5060 0.5149 0.5221 0.5166 0.5257 0.5170 0.4994 0.527
PG5_6Time 0.5932 0.620 0.02438 0.025230.4421 0.461 0.3333 0.4778 0.4719 0.7304 ... 0.5256 0.511 0.5219 0.5200 0.5184 0.5190 0.5210 0.5184 0.5007 0.529
PG5_7NDYP 0.5236 0.443 0.00459 0.003860.4132 0.396 0.3146 0.4358 0.3919 0.8322 ... 0.4619 0.447 0.4515 0.4419 0.4268 0.4305 0.4682 0.4468 0.4164 0.456
PG5_7Order 0.5221 0.447 0.00261 0.002320.4066 0.394 0.3107 0.4332 0.3940 0.8261 ... 0.4545 0.441 0.4464 0.4441 0.4421 0.4395 0.4717 0.4470 0.4107 0.448
PG5_7Time 0.5213 0.519 0.01437 0.014680.4058 0.394 0.3044 0.4293 0.3876 0.8121 ... 0.4637 0.447 0.4596 0.4436 0.4331 0.4397 0.4635 0.4487 0.4171 0.459
................................. ..............................
PG5_9FRP0.69 0.61 0.0076 0.016240.52 0.52 0.38 0.56 0.52 0.69 ... 0.60 0.60 0.61 0.60 0.60 0.59 0.64 0.60 0.57 0.61
PG5_9Order0.69 0.61 -0.0052 -0.002010.51 0.51 0.41 0.57 0.52 0.73 ... 0.60 0.59 0.61 0.59 0.59 0.58 0.63 0.60 0.57 0.60
PG5_9Time0.69 0.74 0.0358 0.033730.49 0.53 0.41 0.57 0.51 0.63 ... 0.60 0.61 0.61 0.59 0.59 0.60 0.62 0.60 0.58 0.62
PG5_10RPA0.65 0.59 -0.0010 -0.006920.49 0.50 0.40 0.54 0.49 0.70 ... 0.58 0.58 0.58 0.56 0.56 0.55 0.59 0.57 0.56 0.58
PG5_10Order0.65 0.58 0.0015 -0.000480.48 0.51 0.42 0.56 0.49 0.75 ... 0.57 0.58 0.57 0.56 0.56 0.55 0.59 0.56 0.55 0.57
PG5_10Time0.65 0.70 0.0128 -0.003360.47 0.51 0.43 0.56 0.48 0.64 ... 0.57 0.58 0.58 0.56 0.54 0.54 0.58 0.56 0.56 0.58
PG5_11NSG0.56 0.49 -0.0145 -0.007830.43 0.43 0.34 0.46 0.43 0.82 ... 0.48 0.49 0.49 0.48 0.48 0.48 0.49 0.48 0.47 0.49
PG5_11Order0.56 0.48 -0.0158 -0.006570.42 0.42 0.32 0.45 0.44 0.81 ... 0.48 0.48 0.48 0.48 0.50 0.49 0.50 0.49 0.46 0.49
PG5_11Time0.56 0.56 -0.0044 -0.000800.42 0.42 0.32 0.45 0.43 0.78 ... 0.48 0.48 0.49 0.47 0.49 0.49 0.49 0.49 0.46 0.50
PG5_12NWG0.55 0.47 -0.0060 0.001420.41 0.41 0.33 0.45 0.41 0.83 ... 0.47 0.47 0.47 0.47 0.47 0.47 0.49 0.47 0.45 0.48
PG5_12Order0.54 0.46 -0.0105 -0.002220.42 0.41 0.31 0.44 0.42 0.83 ... 0.46 0.47 0.47 0.47 0.48 0.47 0.49 0.47 0.45 0.48
PG5_12Time0.54 0.54 0.0074 0.011230.41 0.41 0.31 0.44 0.41 0.81 ... 0.47 0.47 0.48 0.46 0.47 0.47 0.48 0.47 0.44 0.48
PG5_13NFG0.54 0.46 -0.0148 -0.010060.40 0.41 0.34 0.45 0.42 0.84 ... 0.47 0.47 0.46 0.45 0.46 0.45 0.49 0.47 0.45 0.48
PG5_13Order0.54 0.46 -0.0072 0.001000.40 0.40 0.32 0.44 0.41 0.83 ... 0.46 0.47 0.46 0.45 0.47 0.46 0.48 0.47 0.44 0.47
PG5_13Time0.54 0.53 0.0019 0.005130.39 0.41 0.32 0.44 0.41 0.82 ... 0.46 0.46 0.47 0.44 0.46 0.46 0.48 0.47 0.45 0.48
PG5Submit0.87 0.78 -0.0059 0.010610.66 0.72 0.46 0.68 0.73 0.66 ... 0.77 0.82 0.74 0.84 0.80 0.82 0.79 0.82 0.76 0.82
PG6Resp0.88 0.78 0.0211 0.026300.65 0.67 0.44 0.66 0.68 0.51 ... 0.78 0.80 0.73 0.78 0.78 0.79 0.79 0.77 0.74 0.79
PG6Submit0.87 0.77 -0.0014 0.024390.67 0.72 0.47 0.68 0.74 0.51 ... 0.77 0.81 0.76 0.87 0.81 0.85 0.80 0.83 0.77 0.83
PG7R0.87 0.77 -0.0123 0.007100.65 0.65 0.48 0.69 0.66 0.52 ... 0.75 0.76 0.76 0.76 0.77 0.76 0.80 0.76 0.74 0.77
PG7Submit0.87 0.79 -0.0023 0.018920.66 0.69 0.43 0.66 0.73 0.51 ... 0.78 0.81 0.78 0.83 0.82 0.84 0.82 0.84 0.77 0.83
PG8Resp0.86 0.77 -0.0139 0.003570.64 0.65 0.42 0.64 0.67 0.49 ... 1.00 0.87 0.74 0.77 0.77 0.77 0.80 0.79 0.74 0.78
PG8Submit0.88 0.78 0.0139 0.031950.65 0.70 0.41 0.64 0.71 0.50 ... 0.87 1.00 0.73 0.83 0.80 0.82 0.81 0.82 0.76 0.82
PG9Resp0.86 0.77 -0.0022 0.020700.66 0.64 0.48 0.68 0.63 0.49 ... 0.74 0.73 1.00 0.76 0.74 0.74 0.81 0.76 0.77 0.77
PG9Submit0.87 0.78 0.0038 0.021540.66 0.72 0.45 0.67 0.74 0.51 ... 0.77 0.83 0.76 1.00 0.81 0.84 0.79 0.83 0.74 0.83
PG10Resp0.88 0.77 -0.0023 0.007820.66 0.68 0.43 0.66 0.73 0.49 ... 0.77 0.80 0.74 0.81 1.00 0.94 0.81 0.82 0.73 0.81
PG10Submit0.87 0.78 -0.0159 -0.001410.65 0.69 0.42 0.65 0.75 0.49 ... 0.77 0.82 0.74 0.84 0.94 1.00 0.81 0.85 0.75 0.84
PG11Resp0.91 0.79 -0.0152 0.008180.69 0.69 0.48 0.69 0.69 0.51 ... 0.80 0.81 0.81 0.79 0.81 0.81 1.00 0.85 0.80 0.82
PG11Submit0.89 0.80 -0.0142 -0.002650.67 0.69 0.43 0.65 0.72 0.50 ... 0.79 0.82 0.76 0.83 0.82 0.85 0.85 1.00 0.78 0.84
PG12Resp0.85 0.76 -0.0183 -0.005090.65 0.64 0.45 0.65 0.64 0.47 ... 0.74 0.76 0.77 0.74 0.73 0.75 0.80 0.78 1.00 0.80
PG12Submit0.88 0.80 0.0164 0.032790.67 0.70 0.44 0.66 0.71 0.50 ... 0.78 0.82 0.77 0.83 0.81 0.84 0.82 0.84 0.80 1.00
\n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllll}\n", + " & Completed & End & PG0Dis & PG0Shown & PG2Resp.1 & PG3Submit & PG4Prm9\\_10 & PG4AllResp & PG4Submit & PG5\\_1RRPQ & ... & PG8Resp & PG8Submit & PG9Resp & PG9Submit & PG10Resp & PG10Submit & PG11Resp & PG11Submit & PG12Resp & PG12Submit\\\\\n", + "\\hline\n", + "\tCompleted & 1.0000 & 0.880 & -0.00957 & 0.01311 & 0.7359 & 0.743 & 0.5312 & 0.7652 & 0.7466 & 0.5703 & ... & 0.8601 & 0.876 & 0.8601 & 0.8730 & 0.8783 & 0.8744 & 0.9081 & 0.8870 & 0.8518 & 0.885 \\\\\n", + "\tEnd & 0.8796 & 1.000 & 0.01515 & 0.01445 & 0.6558 & 0.665 & 0.4581 & 0.6643 & 0.6589 & 0.4681 & ... & 0.7650 & 0.779 & 0.7672 & 0.7767 & 0.7727 & 0.7815 & 0.7923 & 0.7983 & 0.7624 & 0.796 \\\\\n", + "\tPG0Dis & -0.0096 & 0.015 & 1.00000 & 0.89092 & 0.0078 & 0.024 & -0.0093 & -0.0013 & -0.0270 & -0.0058 & ... & -0.0139 & 0.014 & -0.0022 & 0.0038 & -0.0023 & -0.0159 & -0.0152 & -0.0142 & -0.0183 & 0.016 \\\\\n", + "\tPG0Shown & 0.0131 & 0.014 & 0.89092 & 1.00000 & 0.0259 & 0.046 & -0.0033 & 0.0108 & -0.0054 & 0.0073 & ... & 0.0036 & 0.032 & 0.0207 & 0.0215 & 0.0078 & -0.0014 & 0.0082 & -0.0027 & -0.0051 & 0.033 \\\\\n", + "\tPG2Resp.1 & 0.7359 & 0.656 & 0.00778 & 0.02585 & 1.0000 & 0.729 & 0.4421 & 0.6674 & 0.6761 & 0.4281 & ... & 0.6437 & 0.646 & 0.6600 & 0.6605 & 0.6571 & 0.6501 & 0.6915 & 0.6679 & 0.6479 & 0.668 \\\\\n", + "\tPG3Submit & 0.7431 & 0.665 & 0.02376 & 0.04597 & 0.7293 & 1.000 & 0.4383 & 0.6704 & 0.7515 & 0.4412 & ... & 0.6479 & 0.697 & 0.6384 & 0.7170 & 0.6763 & 0.6923 & 0.6882 & 0.6910 & 0.6361 & 0.696 \\\\\n", + "\tPG4Prm9\\_10 & 0.5312 & 0.458 & -0.00930 & -0.00333 & 0.4421 & 0.438 & 1.0000 & 0.8805 & 0.3759 & 0.3202 & ... & 0.4155 & 0.414 & 0.4802 & 0.4521 & 0.4275 & 0.4181 & 0.4785 & 0.4332 & 0.4488 & 0.444 \\\\\n", + "\tPG4AllResp & 0.7652 & 0.664 & -0.00132 & 0.01079 & 0.6674 & 0.670 & 0.8805 & 1.0000 & 0.6667 & 0.4527 & ... & 0.6354 & 0.645 & 0.6801 & 0.6722 & 0.6630 & 0.6549 & 0.6942 & 0.6545 & 0.6465 & 0.659 \\\\\n", + "\tPG4Submit & 0.7466 & 0.659 & -0.02698 & -0.00543 & 0.6761 & 0.752 & 0.3759 & 0.6667 & 1.0000 & 0.4491 & ... & 0.6742 & 0.705 & 0.6338 & 0.7399 & 0.7324 & 0.7516 & 0.6934 & 0.7248 & 0.6395 & 0.715 \\\\\n", + "\tPG5\\_1RRPQ & 0.5703 & 0.468 & -0.00579 & 0.00730 & 0.4281 & 0.441 & 0.3202 & 0.4527 & 0.4491 & 1.0000 & ... & 0.4874 & 0.498 & 0.4910 & 0.5072 & 0.4857 & 0.4869 & 0.5148 & 0.4964 & 0.4683 & 0.505 \\\\\n", + "\tPG5\\_1Order & 0.5726 & 0.477 & -0.00539 & 0.00618 & 0.4341 & 0.442 & 0.3310 & 0.4602 & 0.4481 & 0.9606 & ... & 0.4940 & 0.499 & 0.4943 & 0.5089 & 0.4938 & 0.4968 & 0.5195 & 0.5013 & 0.4682 & 0.514 \\\\\n", + "\tPG5\\_1Time & 0.5711 & 0.562 & 0.01075 & 0.01932 & 0.4261 & 0.441 & 0.3064 & 0.4454 & 0.4466 & 0.9383 & ... & 0.4970 & 0.502 & 0.5000 & 0.5064 & 0.4944 & 0.5065 & 0.5065 & 0.5045 & 0.4689 & 0.517 \\\\\n", + "\tPG5\\_2BNUI & 0.5319 & 0.444 & -0.00974 & -0.00337 & 0.4028 & 0.403 & 0.3205 & 0.4415 & 0.4027 & 0.8605 & ... & 0.4590 & 0.451 & 0.4512 & 0.4506 & 0.4503 & 0.4387 & 0.4907 & 0.4578 & 0.4401 & 0.465 \\\\\n", + "\tPG5\\_2Order & 0.5332 & 0.448 & -0.01260 & -0.00836 & 0.4103 & 0.398 & 0.3170 & 0.4428 & 0.4048 & 0.8438 & ... & 0.4535 & 0.449 & 0.4618 & 0.4527 & 0.4603 & 0.4520 & 0.4851 & 0.4646 & 0.4399 & 0.472 \\\\\n", + "\tPG5\\_2Time & 0.5305 & 0.522 & 0.00687 & 0.00680 & 0.4024 & 0.400 & 0.3070 & 0.4326 & 0.4079 & 0.8328 & ... & 0.4576 & 0.453 & 0.4637 & 0.4529 & 0.4548 & 0.4502 & 0.4808 & 0.4633 & 0.4413 & 0.473 \\\\\n", + "\tPG5\\_3HDS & 0.6683 & 0.602 & -0.00140 & -0.00348 & 0.5056 & 0.494 & 0.3944 & 0.5420 & 0.5209 & 0.7069 & ... & 0.5557 & 0.594 & 0.5821 & 0.6015 & 0.5809 & 0.5824 & 0.6211 & 0.5894 & 0.5785 & 0.615 \\\\\n", + "\tPG5\\_3Order & 0.6659 & 0.594 & -0.00207 & -0.00814 & 0.5077 & 0.488 & 0.4139 & 0.5561 & 0.5071 & 0.7466 & ... & 0.5663 & 0.588 & 0.5778 & 0.5909 & 0.5794 & 0.5760 & 0.6200 & 0.5777 & 0.5611 & 0.607 \\\\\n", + "\tPG5\\_3Time & 0.6687 & 0.727 & 0.00653 & -0.00870 & 0.5025 & 0.492 & 0.4017 & 0.5444 & 0.4969 & 0.6566 & ... & 0.5640 & 0.593 & 0.5924 & 0.5926 & 0.5705 & 0.5743 & 0.6051 & 0.5799 & 0.5772 & 0.613 \\\\\n", + "\tPG5\\_4VGP & 0.5905 & 0.510 & 0.00088 & -0.00099 & 0.4401 & 0.451 & 0.3470 & 0.4852 & 0.4581 & 0.7797 & ... & 0.5078 & 0.510 & 0.5119 & 0.5007 & 0.5044 & 0.4973 & 0.5311 & 0.5150 & 0.4802 & 0.517 \\\\\n", + "\tPG5\\_4Order & 0.5915 & 0.521 & -0.00245 & -0.00085 & 0.4462 & 0.454 & 0.3666 & 0.4987 & 0.4552 & 0.7957 & ... & 0.5009 & 0.511 & 0.5124 & 0.5054 & 0.5112 & 0.5019 & 0.5261 & 0.5071 & 0.4793 & 0.511 \\\\\n", + "\tPG5\\_4Time & 0.5890 & 0.607 & 0.01836 & 0.01406 & 0.4374 & 0.464 & 0.3594 & 0.4928 & 0.4586 & 0.7344 & ... & 0.5090 & 0.511 & 0.5185 & 0.5084 & 0.5126 & 0.5089 & 0.5242 & 0.5139 & 0.4787 & 0.518 \\\\\n", + "\tPG5\\_5PHR & 0.6762 & 0.588 & 0.00662 & 0.00579 & 0.5284 & 0.525 & 0.4106 & 0.5690 & 0.5131 & 0.6925 & ... & 0.6099 & 0.612 & 0.5900 & 0.5986 & 0.5613 & 0.5722 & 0.6245 & 0.5864 & 0.5598 & 0.597 \\\\\n", + "\tPG5\\_5Order & 0.6760 & 0.585 & 0.00980 & 0.01466 & 0.5160 & 0.524 & 0.4167 & 0.5696 & 0.5051 & 0.7464 & ... & 0.5958 & 0.597 & 0.5921 & 0.5779 & 0.5584 & 0.5643 & 0.6191 & 0.5799 & 0.5731 & 0.599 \\\\\n", + "\tPG5\\_5Time & 0.6740 & 0.721 & 0.03829 & 0.03404 & 0.5032 & 0.530 & 0.4265 & 0.5745 & 0.4891 & 0.6412 & ... & 0.5909 & 0.597 & 0.5999 & 0.5818 & 0.5416 & 0.5561 & 0.6117 & 0.5761 & 0.5707 & 0.609 \\\\\n", + "\tPG5\\_6SSYOP & 0.5948 & 0.522 & 0.00642 & 0.01283 & 0.4455 & 0.465 & 0.3479 & 0.4872 & 0.4686 & 0.7809 & ... & 0.5267 & 0.514 & 0.5176 & 0.5183 & 0.5131 & 0.5078 & 0.5297 & 0.5159 & 0.4957 & 0.521 \\\\\n", + "\tPG5\\_6Order & 0.5940 & 0.525 & 0.00242 & 0.00979 & 0.4424 & 0.461 & 0.3368 & 0.4791 & 0.4763 & 0.7919 & ... & 0.5200 & 0.515 & 0.5060 & 0.5149 & 0.5221 & 0.5166 & 0.5257 & 0.5170 & 0.4994 & 0.527 \\\\\n", + "\tPG5\\_6Time & 0.5932 & 0.620 & 0.02438 & 0.02523 & 0.4421 & 0.461 & 0.3333 & 0.4778 & 0.4719 & 0.7304 & ... & 0.5256 & 0.511 & 0.5219 & 0.5200 & 0.5184 & 0.5190 & 0.5210 & 0.5184 & 0.5007 & 0.529 \\\\\n", + "\tPG5\\_7NDYP & 0.5236 & 0.443 & 0.00459 & 0.00386 & 0.4132 & 0.396 & 0.3146 & 0.4358 & 0.3919 & 0.8322 & ... & 0.4619 & 0.447 & 0.4515 & 0.4419 & 0.4268 & 0.4305 & 0.4682 & 0.4468 & 0.4164 & 0.456 \\\\\n", + "\tPG5\\_7Order & 0.5221 & 0.447 & 0.00261 & 0.00232 & 0.4066 & 0.394 & 0.3107 & 0.4332 & 0.3940 & 0.8261 & ... & 0.4545 & 0.441 & 0.4464 & 0.4441 & 0.4421 & 0.4395 & 0.4717 & 0.4470 & 0.4107 & 0.448 \\\\\n", + "\tPG5\\_7Time & 0.5213 & 0.519 & 0.01437 & 0.01468 & 0.4058 & 0.394 & 0.3044 & 0.4293 & 0.3876 & 0.8121 & ... & 0.4637 & 0.447 & 0.4596 & 0.4436 & 0.4331 & 0.4397 & 0.4635 & 0.4487 & 0.4171 & 0.459 \\\\\n", + "\t... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ... & & ... & ... & ... & ... & ... & ... & ... & ... & ... & ...\\\\\n", + "\tPG5\\_9FRP & 0.69 & 0.61 & 0.0076 & 0.01624 & 0.52 & 0.52 & 0.38 & 0.56 & 0.52 & 0.69 & ... & 0.60 & 0.60 & 0.61 & 0.60 & 0.60 & 0.59 & 0.64 & 0.60 & 0.57 & 0.61 \\\\\n", + "\tPG5\\_9Order & 0.69 & 0.61 & -0.0052 & -0.00201 & 0.51 & 0.51 & 0.41 & 0.57 & 0.52 & 0.73 & ... & 0.60 & 0.59 & 0.61 & 0.59 & 0.59 & 0.58 & 0.63 & 0.60 & 0.57 & 0.60 \\\\\n", + "\tPG5\\_9Time & 0.69 & 0.74 & 0.0358 & 0.03373 & 0.49 & 0.53 & 0.41 & 0.57 & 0.51 & 0.63 & ... & 0.60 & 0.61 & 0.61 & 0.59 & 0.59 & 0.60 & 0.62 & 0.60 & 0.58 & 0.62 \\\\\n", + "\tPG5\\_10RPA & 0.65 & 0.59 & -0.0010 & -0.00692 & 0.49 & 0.50 & 0.40 & 0.54 & 0.49 & 0.70 & ... & 0.58 & 0.58 & 0.58 & 0.56 & 0.56 & 0.55 & 0.59 & 0.57 & 0.56 & 0.58 \\\\\n", + "\tPG5\\_10Order & 0.65 & 0.58 & 0.0015 & -0.00048 & 0.48 & 0.51 & 0.42 & 0.56 & 0.49 & 0.75 & ... & 0.57 & 0.58 & 0.57 & 0.56 & 0.56 & 0.55 & 0.59 & 0.56 & 0.55 & 0.57 \\\\\n", + "\tPG5\\_10Time & 0.65 & 0.70 & 0.0128 & -0.00336 & 0.47 & 0.51 & 0.43 & 0.56 & 0.48 & 0.64 & ... & 0.57 & 0.58 & 0.58 & 0.56 & 0.54 & 0.54 & 0.58 & 0.56 & 0.56 & 0.58 \\\\\n", + "\tPG5\\_11NSG & 0.56 & 0.49 & -0.0145 & -0.00783 & 0.43 & 0.43 & 0.34 & 0.46 & 0.43 & 0.82 & ... & 0.48 & 0.49 & 0.49 & 0.48 & 0.48 & 0.48 & 0.49 & 0.48 & 0.47 & 0.49 \\\\\n", + "\tPG5\\_11Order & 0.56 & 0.48 & -0.0158 & -0.00657 & 0.42 & 0.42 & 0.32 & 0.45 & 0.44 & 0.81 & ... & 0.48 & 0.48 & 0.48 & 0.48 & 0.50 & 0.49 & 0.50 & 0.49 & 0.46 & 0.49 \\\\\n", + "\tPG5\\_11Time & 0.56 & 0.56 & -0.0044 & -0.00080 & 0.42 & 0.42 & 0.32 & 0.45 & 0.43 & 0.78 & ... & 0.48 & 0.48 & 0.49 & 0.47 & 0.49 & 0.49 & 0.49 & 0.49 & 0.46 & 0.50 \\\\\n", + "\tPG5\\_12NWG & 0.55 & 0.47 & -0.0060 & 0.00142 & 0.41 & 0.41 & 0.33 & 0.45 & 0.41 & 0.83 & ... & 0.47 & 0.47 & 0.47 & 0.47 & 0.47 & 0.47 & 0.49 & 0.47 & 0.45 & 0.48 \\\\\n", + "\tPG5\\_12Order & 0.54 & 0.46 & -0.0105 & -0.00222 & 0.42 & 0.41 & 0.31 & 0.44 & 0.42 & 0.83 & ... & 0.46 & 0.47 & 0.47 & 0.47 & 0.48 & 0.47 & 0.49 & 0.47 & 0.45 & 0.48 \\\\\n", + "\tPG5\\_12Time & 0.54 & 0.54 & 0.0074 & 0.01123 & 0.41 & 0.41 & 0.31 & 0.44 & 0.41 & 0.81 & ... & 0.47 & 0.47 & 0.48 & 0.46 & 0.47 & 0.47 & 0.48 & 0.47 & 0.44 & 0.48 \\\\\n", + "\tPG5\\_13NFG & 0.54 & 0.46 & -0.0148 & -0.01006 & 0.40 & 0.41 & 0.34 & 0.45 & 0.42 & 0.84 & ... & 0.47 & 0.47 & 0.46 & 0.45 & 0.46 & 0.45 & 0.49 & 0.47 & 0.45 & 0.48 \\\\\n", + "\tPG5\\_13Order & 0.54 & 0.46 & -0.0072 & 0.00100 & 0.40 & 0.40 & 0.32 & 0.44 & 0.41 & 0.83 & ... & 0.46 & 0.47 & 0.46 & 0.45 & 0.47 & 0.46 & 0.48 & 0.47 & 0.44 & 0.47 \\\\\n", + "\tPG5\\_13Time & 0.54 & 0.53 & 0.0019 & 0.00513 & 0.39 & 0.41 & 0.32 & 0.44 & 0.41 & 0.82 & ... & 0.46 & 0.46 & 0.47 & 0.44 & 0.46 & 0.46 & 0.48 & 0.47 & 0.45 & 0.48 \\\\\n", + "\tPG5Submit & 0.87 & 0.78 & -0.0059 & 0.01061 & 0.66 & 0.72 & 0.46 & 0.68 & 0.73 & 0.66 & ... & 0.77 & 0.82 & 0.74 & 0.84 & 0.80 & 0.82 & 0.79 & 0.82 & 0.76 & 0.82 \\\\\n", + "\tPG6Resp & 0.88 & 0.78 & 0.0211 & 0.02630 & 0.65 & 0.67 & 0.44 & 0.66 & 0.68 & 0.51 & ... & 0.78 & 0.80 & 0.73 & 0.78 & 0.78 & 0.79 & 0.79 & 0.77 & 0.74 & 0.79 \\\\\n", + "\tPG6Submit & 0.87 & 0.77 & -0.0014 & 0.02439 & 0.67 & 0.72 & 0.47 & 0.68 & 0.74 & 0.51 & ... & 0.77 & 0.81 & 0.76 & 0.87 & 0.81 & 0.85 & 0.80 & 0.83 & 0.77 & 0.83 \\\\\n", + "\tPG7R & 0.87 & 0.77 & -0.0123 & 0.00710 & 0.65 & 0.65 & 0.48 & 0.69 & 0.66 & 0.52 & ... & 0.75 & 0.76 & 0.76 & 0.76 & 0.77 & 0.76 & 0.80 & 0.76 & 0.74 & 0.77 \\\\\n", + "\tPG7Submit & 0.87 & 0.79 & -0.0023 & 0.01892 & 0.66 & 0.69 & 0.43 & 0.66 & 0.73 & 0.51 & ... & 0.78 & 0.81 & 0.78 & 0.83 & 0.82 & 0.84 & 0.82 & 0.84 & 0.77 & 0.83 \\\\\n", + "\tPG8Resp & 0.86 & 0.77 & -0.0139 & 0.00357 & 0.64 & 0.65 & 0.42 & 0.64 & 0.67 & 0.49 & ... & 1.00 & 0.87 & 0.74 & 0.77 & 0.77 & 0.77 & 0.80 & 0.79 & 0.74 & 0.78 \\\\\n", + "\tPG8Submit & 0.88 & 0.78 & 0.0139 & 0.03195 & 0.65 & 0.70 & 0.41 & 0.64 & 0.71 & 0.50 & ... & 0.87 & 1.00 & 0.73 & 0.83 & 0.80 & 0.82 & 0.81 & 0.82 & 0.76 & 0.82 \\\\\n", + "\tPG9Resp & 0.86 & 0.77 & -0.0022 & 0.02070 & 0.66 & 0.64 & 0.48 & 0.68 & 0.63 & 0.49 & ... & 0.74 & 0.73 & 1.00 & 0.76 & 0.74 & 0.74 & 0.81 & 0.76 & 0.77 & 0.77 \\\\\n", + "\tPG9Submit & 0.87 & 0.78 & 0.0038 & 0.02154 & 0.66 & 0.72 & 0.45 & 0.67 & 0.74 & 0.51 & ... & 0.77 & 0.83 & 0.76 & 1.00 & 0.81 & 0.84 & 0.79 & 0.83 & 0.74 & 0.83 \\\\\n", + "\tPG10Resp & 0.88 & 0.77 & -0.0023 & 0.00782 & 0.66 & 0.68 & 0.43 & 0.66 & 0.73 & 0.49 & ... & 0.77 & 0.80 & 0.74 & 0.81 & 1.00 & 0.94 & 0.81 & 0.82 & 0.73 & 0.81 \\\\\n", + "\tPG10Submit & 0.87 & 0.78 & -0.0159 & -0.00141 & 0.65 & 0.69 & 0.42 & 0.65 & 0.75 & 0.49 & ... & 0.77 & 0.82 & 0.74 & 0.84 & 0.94 & 1.00 & 0.81 & 0.85 & 0.75 & 0.84 \\\\\n", + "\tPG11Resp & 0.91 & 0.79 & -0.0152 & 0.00818 & 0.69 & 0.69 & 0.48 & 0.69 & 0.69 & 0.51 & ... & 0.80 & 0.81 & 0.81 & 0.79 & 0.81 & 0.81 & 1.00 & 0.85 & 0.80 & 0.82 \\\\\n", + "\tPG11Submit & 0.89 & 0.80 & -0.0142 & -0.00265 & 0.67 & 0.69 & 0.43 & 0.65 & 0.72 & 0.50 & ... & 0.79 & 0.82 & 0.76 & 0.83 & 0.82 & 0.85 & 0.85 & 1.00 & 0.78 & 0.84 \\\\\n", + "\tPG12Resp & 0.85 & 0.76 & -0.0183 & -0.00509 & 0.65 & 0.64 & 0.45 & 0.65 & 0.64 & 0.47 & ... & 0.74 & 0.76 & 0.77 & 0.74 & 0.73 & 0.75 & 0.80 & 0.78 & 1.00 & 0.80 \\\\\n", + "\tPG12Submit & 0.88 & 0.80 & 0.0164 & 0.03279 & 0.67 & 0.70 & 0.44 & 0.66 & 0.71 & 0.50 & ... & 0.78 & 0.82 & 0.77 & 0.83 & 0.81 & 0.84 & 0.82 & 0.84 & 0.80 & 1.00 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | Completed | End | PG0Dis | PG0Shown | PG2Resp.1 | PG3Submit | PG4Prm9_10 | PG4AllResp | PG4Submit | PG5_1RRPQ | ... | PG8Resp | PG8Submit | PG9Resp | PG9Submit | PG10Resp | PG10Submit | PG11Resp | PG11Submit | PG12Resp | PG12Submit | \n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| Completed | 1.0000 | 0.880 | -0.00957 | 0.01311 | 0.7359 | 0.743 | 0.5312 | 0.7652 | 0.7466 | 0.5703 | ... | 0.8601 | 0.876 | 0.8601 | 0.8730 | 0.8783 | 0.8744 | 0.9081 | 0.8870 | 0.8518 | 0.885 | \n", + "| End | 0.8796 | 1.000 | 0.01515 | 0.01445 | 0.6558 | 0.665 | 0.4581 | 0.6643 | 0.6589 | 0.4681 | ... | 0.7650 | 0.779 | 0.7672 | 0.7767 | 0.7727 | 0.7815 | 0.7923 | 0.7983 | 0.7624 | 0.796 | \n", + "| PG0Dis | -0.0096 | 0.015 | 1.00000 | 0.89092 | 0.0078 | 0.024 | -0.0093 | -0.0013 | -0.0270 | -0.0058 | ... | -0.0139 | 0.014 | -0.0022 | 0.0038 | -0.0023 | -0.0159 | -0.0152 | -0.0142 | -0.0183 | 0.016 | \n", + "| PG0Shown | 0.0131 | 0.014 | 0.89092 | 1.00000 | 0.0259 | 0.046 | -0.0033 | 0.0108 | -0.0054 | 0.0073 | ... | 0.0036 | 0.032 | 0.0207 | 0.0215 | 0.0078 | -0.0014 | 0.0082 | -0.0027 | -0.0051 | 0.033 | \n", + "| PG2Resp.1 | 0.7359 | 0.656 | 0.00778 | 0.02585 | 1.0000 | 0.729 | 0.4421 | 0.6674 | 0.6761 | 0.4281 | ... | 0.6437 | 0.646 | 0.6600 | 0.6605 | 0.6571 | 0.6501 | 0.6915 | 0.6679 | 0.6479 | 0.668 | \n", + "| PG3Submit | 0.7431 | 0.665 | 0.02376 | 0.04597 | 0.7293 | 1.000 | 0.4383 | 0.6704 | 0.7515 | 0.4412 | ... | 0.6479 | 0.697 | 0.6384 | 0.7170 | 0.6763 | 0.6923 | 0.6882 | 0.6910 | 0.6361 | 0.696 | \n", + "| PG4Prm9_10 | 0.5312 | 0.458 | -0.00930 | -0.00333 | 0.4421 | 0.438 | 1.0000 | 0.8805 | 0.3759 | 0.3202 | ... | 0.4155 | 0.414 | 0.4802 | 0.4521 | 0.4275 | 0.4181 | 0.4785 | 0.4332 | 0.4488 | 0.444 | \n", + "| PG4AllResp | 0.7652 | 0.664 | -0.00132 | 0.01079 | 0.6674 | 0.670 | 0.8805 | 1.0000 | 0.6667 | 0.4527 | ... | 0.6354 | 0.645 | 0.6801 | 0.6722 | 0.6630 | 0.6549 | 0.6942 | 0.6545 | 0.6465 | 0.659 | \n", + "| PG4Submit | 0.7466 | 0.659 | -0.02698 | -0.00543 | 0.6761 | 0.752 | 0.3759 | 0.6667 | 1.0000 | 0.4491 | ... | 0.6742 | 0.705 | 0.6338 | 0.7399 | 0.7324 | 0.7516 | 0.6934 | 0.7248 | 0.6395 | 0.715 | \n", + "| PG5_1RRPQ | 0.5703 | 0.468 | -0.00579 | 0.00730 | 0.4281 | 0.441 | 0.3202 | 0.4527 | 0.4491 | 1.0000 | ... | 0.4874 | 0.498 | 0.4910 | 0.5072 | 0.4857 | 0.4869 | 0.5148 | 0.4964 | 0.4683 | 0.505 | \n", + "| PG5_1Order | 0.5726 | 0.477 | -0.00539 | 0.00618 | 0.4341 | 0.442 | 0.3310 | 0.4602 | 0.4481 | 0.9606 | ... | 0.4940 | 0.499 | 0.4943 | 0.5089 | 0.4938 | 0.4968 | 0.5195 | 0.5013 | 0.4682 | 0.514 | \n", + "| PG5_1Time | 0.5711 | 0.562 | 0.01075 | 0.01932 | 0.4261 | 0.441 | 0.3064 | 0.4454 | 0.4466 | 0.9383 | ... | 0.4970 | 0.502 | 0.5000 | 0.5064 | 0.4944 | 0.5065 | 0.5065 | 0.5045 | 0.4689 | 0.517 | \n", + "| PG5_2BNUI | 0.5319 | 0.444 | -0.00974 | -0.00337 | 0.4028 | 0.403 | 0.3205 | 0.4415 | 0.4027 | 0.8605 | ... | 0.4590 | 0.451 | 0.4512 | 0.4506 | 0.4503 | 0.4387 | 0.4907 | 0.4578 | 0.4401 | 0.465 | \n", + "| PG5_2Order | 0.5332 | 0.448 | -0.01260 | -0.00836 | 0.4103 | 0.398 | 0.3170 | 0.4428 | 0.4048 | 0.8438 | ... | 0.4535 | 0.449 | 0.4618 | 0.4527 | 0.4603 | 0.4520 | 0.4851 | 0.4646 | 0.4399 | 0.472 | \n", + "| PG5_2Time | 0.5305 | 0.522 | 0.00687 | 0.00680 | 0.4024 | 0.400 | 0.3070 | 0.4326 | 0.4079 | 0.8328 | ... | 0.4576 | 0.453 | 0.4637 | 0.4529 | 0.4548 | 0.4502 | 0.4808 | 0.4633 | 0.4413 | 0.473 | \n", + "| PG5_3HDS | 0.6683 | 0.602 | -0.00140 | -0.00348 | 0.5056 | 0.494 | 0.3944 | 0.5420 | 0.5209 | 0.7069 | ... | 0.5557 | 0.594 | 0.5821 | 0.6015 | 0.5809 | 0.5824 | 0.6211 | 0.5894 | 0.5785 | 0.615 | \n", + "| PG5_3Order | 0.6659 | 0.594 | -0.00207 | -0.00814 | 0.5077 | 0.488 | 0.4139 | 0.5561 | 0.5071 | 0.7466 | ... | 0.5663 | 0.588 | 0.5778 | 0.5909 | 0.5794 | 0.5760 | 0.6200 | 0.5777 | 0.5611 | 0.607 | \n", + "| PG5_3Time | 0.6687 | 0.727 | 0.00653 | -0.00870 | 0.5025 | 0.492 | 0.4017 | 0.5444 | 0.4969 | 0.6566 | ... | 0.5640 | 0.593 | 0.5924 | 0.5926 | 0.5705 | 0.5743 | 0.6051 | 0.5799 | 0.5772 | 0.613 | \n", + "| PG5_4VGP | 0.5905 | 0.510 | 0.00088 | -0.00099 | 0.4401 | 0.451 | 0.3470 | 0.4852 | 0.4581 | 0.7797 | ... | 0.5078 | 0.510 | 0.5119 | 0.5007 | 0.5044 | 0.4973 | 0.5311 | 0.5150 | 0.4802 | 0.517 | \n", + "| PG5_4Order | 0.5915 | 0.521 | -0.00245 | -0.00085 | 0.4462 | 0.454 | 0.3666 | 0.4987 | 0.4552 | 0.7957 | ... | 0.5009 | 0.511 | 0.5124 | 0.5054 | 0.5112 | 0.5019 | 0.5261 | 0.5071 | 0.4793 | 0.511 | \n", + "| PG5_4Time | 0.5890 | 0.607 | 0.01836 | 0.01406 | 0.4374 | 0.464 | 0.3594 | 0.4928 | 0.4586 | 0.7344 | ... | 0.5090 | 0.511 | 0.5185 | 0.5084 | 0.5126 | 0.5089 | 0.5242 | 0.5139 | 0.4787 | 0.518 | \n", + "| PG5_5PHR | 0.6762 | 0.588 | 0.00662 | 0.00579 | 0.5284 | 0.525 | 0.4106 | 0.5690 | 0.5131 | 0.6925 | ... | 0.6099 | 0.612 | 0.5900 | 0.5986 | 0.5613 | 0.5722 | 0.6245 | 0.5864 | 0.5598 | 0.597 | \n", + "| PG5_5Order | 0.6760 | 0.585 | 0.00980 | 0.01466 | 0.5160 | 0.524 | 0.4167 | 0.5696 | 0.5051 | 0.7464 | ... | 0.5958 | 0.597 | 0.5921 | 0.5779 | 0.5584 | 0.5643 | 0.6191 | 0.5799 | 0.5731 | 0.599 | \n", + "| PG5_5Time | 0.6740 | 0.721 | 0.03829 | 0.03404 | 0.5032 | 0.530 | 0.4265 | 0.5745 | 0.4891 | 0.6412 | ... | 0.5909 | 0.597 | 0.5999 | 0.5818 | 0.5416 | 0.5561 | 0.6117 | 0.5761 | 0.5707 | 0.609 | \n", + "| PG5_6SSYOP | 0.5948 | 0.522 | 0.00642 | 0.01283 | 0.4455 | 0.465 | 0.3479 | 0.4872 | 0.4686 | 0.7809 | ... | 0.5267 | 0.514 | 0.5176 | 0.5183 | 0.5131 | 0.5078 | 0.5297 | 0.5159 | 0.4957 | 0.521 | \n", + "| PG5_6Order | 0.5940 | 0.525 | 0.00242 | 0.00979 | 0.4424 | 0.461 | 0.3368 | 0.4791 | 0.4763 | 0.7919 | ... | 0.5200 | 0.515 | 0.5060 | 0.5149 | 0.5221 | 0.5166 | 0.5257 | 0.5170 | 0.4994 | 0.527 | \n", + "| PG5_6Time | 0.5932 | 0.620 | 0.02438 | 0.02523 | 0.4421 | 0.461 | 0.3333 | 0.4778 | 0.4719 | 0.7304 | ... | 0.5256 | 0.511 | 0.5219 | 0.5200 | 0.5184 | 0.5190 | 0.5210 | 0.5184 | 0.5007 | 0.529 | \n", + "| PG5_7NDYP | 0.5236 | 0.443 | 0.00459 | 0.00386 | 0.4132 | 0.396 | 0.3146 | 0.4358 | 0.3919 | 0.8322 | ... | 0.4619 | 0.447 | 0.4515 | 0.4419 | 0.4268 | 0.4305 | 0.4682 | 0.4468 | 0.4164 | 0.456 | \n", + "| PG5_7Order | 0.5221 | 0.447 | 0.00261 | 0.00232 | 0.4066 | 0.394 | 0.3107 | 0.4332 | 0.3940 | 0.8261 | ... | 0.4545 | 0.441 | 0.4464 | 0.4441 | 0.4421 | 0.4395 | 0.4717 | 0.4470 | 0.4107 | 0.448 | \n", + "| PG5_7Time | 0.5213 | 0.519 | 0.01437 | 0.01468 | 0.4058 | 0.394 | 0.3044 | 0.4293 | 0.3876 | 0.8121 | ... | 0.4637 | 0.447 | 0.4596 | 0.4436 | 0.4331 | 0.4397 | 0.4635 | 0.4487 | 0.4171 | 0.459 | \n", + "| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | \n", + "| PG5_9FRP | 0.69 | 0.61 | 0.0076 | 0.01624 | 0.52 | 0.52 | 0.38 | 0.56 | 0.52 | 0.69 | ... | 0.60 | 0.60 | 0.61 | 0.60 | 0.60 | 0.59 | 0.64 | 0.60 | 0.57 | 0.61 | \n", + "| PG5_9Order | 0.69 | 0.61 | -0.0052 | -0.00201 | 0.51 | 0.51 | 0.41 | 0.57 | 0.52 | 0.73 | ... | 0.60 | 0.59 | 0.61 | 0.59 | 0.59 | 0.58 | 0.63 | 0.60 | 0.57 | 0.60 | \n", + "| PG5_9Time | 0.69 | 0.74 | 0.0358 | 0.03373 | 0.49 | 0.53 | 0.41 | 0.57 | 0.51 | 0.63 | ... | 0.60 | 0.61 | 0.61 | 0.59 | 0.59 | 0.60 | 0.62 | 0.60 | 0.58 | 0.62 | \n", + "| PG5_10RPA | 0.65 | 0.59 | -0.0010 | -0.00692 | 0.49 | 0.50 | 0.40 | 0.54 | 0.49 | 0.70 | ... | 0.58 | 0.58 | 0.58 | 0.56 | 0.56 | 0.55 | 0.59 | 0.57 | 0.56 | 0.58 | \n", + "| PG5_10Order | 0.65 | 0.58 | 0.0015 | -0.00048 | 0.48 | 0.51 | 0.42 | 0.56 | 0.49 | 0.75 | ... | 0.57 | 0.58 | 0.57 | 0.56 | 0.56 | 0.55 | 0.59 | 0.56 | 0.55 | 0.57 | \n", + "| PG5_10Time | 0.65 | 0.70 | 0.0128 | -0.00336 | 0.47 | 0.51 | 0.43 | 0.56 | 0.48 | 0.64 | ... | 0.57 | 0.58 | 0.58 | 0.56 | 0.54 | 0.54 | 0.58 | 0.56 | 0.56 | 0.58 | \n", + "| PG5_11NSG | 0.56 | 0.49 | -0.0145 | -0.00783 | 0.43 | 0.43 | 0.34 | 0.46 | 0.43 | 0.82 | ... | 0.48 | 0.49 | 0.49 | 0.48 | 0.48 | 0.48 | 0.49 | 0.48 | 0.47 | 0.49 | \n", + "| PG5_11Order | 0.56 | 0.48 | -0.0158 | -0.00657 | 0.42 | 0.42 | 0.32 | 0.45 | 0.44 | 0.81 | ... | 0.48 | 0.48 | 0.48 | 0.48 | 0.50 | 0.49 | 0.50 | 0.49 | 0.46 | 0.49 | \n", + "| PG5_11Time | 0.56 | 0.56 | -0.0044 | -0.00080 | 0.42 | 0.42 | 0.32 | 0.45 | 0.43 | 0.78 | ... | 0.48 | 0.48 | 0.49 | 0.47 | 0.49 | 0.49 | 0.49 | 0.49 | 0.46 | 0.50 | \n", + "| PG5_12NWG | 0.55 | 0.47 | -0.0060 | 0.00142 | 0.41 | 0.41 | 0.33 | 0.45 | 0.41 | 0.83 | ... | 0.47 | 0.47 | 0.47 | 0.47 | 0.47 | 0.47 | 0.49 | 0.47 | 0.45 | 0.48 | \n", + "| PG5_12Order | 0.54 | 0.46 | -0.0105 | -0.00222 | 0.42 | 0.41 | 0.31 | 0.44 | 0.42 | 0.83 | ... | 0.46 | 0.47 | 0.47 | 0.47 | 0.48 | 0.47 | 0.49 | 0.47 | 0.45 | 0.48 | \n", + "| PG5_12Time | 0.54 | 0.54 | 0.0074 | 0.01123 | 0.41 | 0.41 | 0.31 | 0.44 | 0.41 | 0.81 | ... | 0.47 | 0.47 | 0.48 | 0.46 | 0.47 | 0.47 | 0.48 | 0.47 | 0.44 | 0.48 | \n", + "| PG5_13NFG | 0.54 | 0.46 | -0.0148 | -0.01006 | 0.40 | 0.41 | 0.34 | 0.45 | 0.42 | 0.84 | ... | 0.47 | 0.47 | 0.46 | 0.45 | 0.46 | 0.45 | 0.49 | 0.47 | 0.45 | 0.48 | \n", + "| PG5_13Order | 0.54 | 0.46 | -0.0072 | 0.00100 | 0.40 | 0.40 | 0.32 | 0.44 | 0.41 | 0.83 | ... | 0.46 | 0.47 | 0.46 | 0.45 | 0.47 | 0.46 | 0.48 | 0.47 | 0.44 | 0.47 | \n", + "| PG5_13Time | 0.54 | 0.53 | 0.0019 | 0.00513 | 0.39 | 0.41 | 0.32 | 0.44 | 0.41 | 0.82 | ... | 0.46 | 0.46 | 0.47 | 0.44 | 0.46 | 0.46 | 0.48 | 0.47 | 0.45 | 0.48 | \n", + "| PG5Submit | 0.87 | 0.78 | -0.0059 | 0.01061 | 0.66 | 0.72 | 0.46 | 0.68 | 0.73 | 0.66 | ... | 0.77 | 0.82 | 0.74 | 0.84 | 0.80 | 0.82 | 0.79 | 0.82 | 0.76 | 0.82 | \n", + "| PG6Resp | 0.88 | 0.78 | 0.0211 | 0.02630 | 0.65 | 0.67 | 0.44 | 0.66 | 0.68 | 0.51 | ... | 0.78 | 0.80 | 0.73 | 0.78 | 0.78 | 0.79 | 0.79 | 0.77 | 0.74 | 0.79 | \n", + "| PG6Submit | 0.87 | 0.77 | -0.0014 | 0.02439 | 0.67 | 0.72 | 0.47 | 0.68 | 0.74 | 0.51 | ... | 0.77 | 0.81 | 0.76 | 0.87 | 0.81 | 0.85 | 0.80 | 0.83 | 0.77 | 0.83 | \n", + "| PG7R | 0.87 | 0.77 | -0.0123 | 0.00710 | 0.65 | 0.65 | 0.48 | 0.69 | 0.66 | 0.52 | ... | 0.75 | 0.76 | 0.76 | 0.76 | 0.77 | 0.76 | 0.80 | 0.76 | 0.74 | 0.77 | \n", + "| PG7Submit | 0.87 | 0.79 | -0.0023 | 0.01892 | 0.66 | 0.69 | 0.43 | 0.66 | 0.73 | 0.51 | ... | 0.78 | 0.81 | 0.78 | 0.83 | 0.82 | 0.84 | 0.82 | 0.84 | 0.77 | 0.83 | \n", + "| PG8Resp | 0.86 | 0.77 | -0.0139 | 0.00357 | 0.64 | 0.65 | 0.42 | 0.64 | 0.67 | 0.49 | ... | 1.00 | 0.87 | 0.74 | 0.77 | 0.77 | 0.77 | 0.80 | 0.79 | 0.74 | 0.78 | \n", + "| PG8Submit | 0.88 | 0.78 | 0.0139 | 0.03195 | 0.65 | 0.70 | 0.41 | 0.64 | 0.71 | 0.50 | ... | 0.87 | 1.00 | 0.73 | 0.83 | 0.80 | 0.82 | 0.81 | 0.82 | 0.76 | 0.82 | \n", + "| PG9Resp | 0.86 | 0.77 | -0.0022 | 0.02070 | 0.66 | 0.64 | 0.48 | 0.68 | 0.63 | 0.49 | ... | 0.74 | 0.73 | 1.00 | 0.76 | 0.74 | 0.74 | 0.81 | 0.76 | 0.77 | 0.77 | \n", + "| PG9Submit | 0.87 | 0.78 | 0.0038 | 0.02154 | 0.66 | 0.72 | 0.45 | 0.67 | 0.74 | 0.51 | ... | 0.77 | 0.83 | 0.76 | 1.00 | 0.81 | 0.84 | 0.79 | 0.83 | 0.74 | 0.83 | \n", + "| PG10Resp | 0.88 | 0.77 | -0.0023 | 0.00782 | 0.66 | 0.68 | 0.43 | 0.66 | 0.73 | 0.49 | ... | 0.77 | 0.80 | 0.74 | 0.81 | 1.00 | 0.94 | 0.81 | 0.82 | 0.73 | 0.81 | \n", + "| PG10Submit | 0.87 | 0.78 | -0.0159 | -0.00141 | 0.65 | 0.69 | 0.42 | 0.65 | 0.75 | 0.49 | ... | 0.77 | 0.82 | 0.74 | 0.84 | 0.94 | 1.00 | 0.81 | 0.85 | 0.75 | 0.84 | \n", + "| PG11Resp | 0.91 | 0.79 | -0.0152 | 0.00818 | 0.69 | 0.69 | 0.48 | 0.69 | 0.69 | 0.51 | ... | 0.80 | 0.81 | 0.81 | 0.79 | 0.81 | 0.81 | 1.00 | 0.85 | 0.80 | 0.82 | \n", + "| PG11Submit | 0.89 | 0.80 | -0.0142 | -0.00265 | 0.67 | 0.69 | 0.43 | 0.65 | 0.72 | 0.50 | ... | 0.79 | 0.82 | 0.76 | 0.83 | 0.82 | 0.85 | 0.85 | 1.00 | 0.78 | 0.84 | \n", + "| PG12Resp | 0.85 | 0.76 | -0.0183 | -0.00509 | 0.65 | 0.64 | 0.45 | 0.65 | 0.64 | 0.47 | ... | 0.74 | 0.76 | 0.77 | 0.74 | 0.73 | 0.75 | 0.80 | 0.78 | 1.00 | 0.80 | \n", + "| PG12Submit | 0.88 | 0.80 | 0.0164 | 0.03279 | 0.67 | 0.70 | 0.44 | 0.66 | 0.71 | 0.50 | ... | 0.78 | 0.82 | 0.77 | 0.83 | 0.81 | 0.84 | 0.82 | 0.84 | 0.80 | 1.00 | \n", + "\n", + "\n" + ], + "text/plain": [ + " Completed End PG0Dis PG0Shown PG2Resp.1 PG3Submit PG4Prm9_10\n", + "Completed 1.0000 0.880 -0.00957 0.01311 0.7359 0.743 0.5312 \n", + "End 0.8796 1.000 0.01515 0.01445 0.6558 0.665 0.4581 \n", + "PG0Dis -0.0096 0.015 1.00000 0.89092 0.0078 0.024 -0.0093 \n", + "PG0Shown 0.0131 0.014 0.89092 1.00000 0.0259 0.046 -0.0033 \n", + "PG2Resp.1 0.7359 0.656 0.00778 0.02585 1.0000 0.729 0.4421 \n", + "PG3Submit 0.7431 0.665 0.02376 0.04597 0.7293 1.000 0.4383 \n", + "PG4Prm9_10 0.5312 0.458 -0.00930 -0.00333 0.4421 0.438 1.0000 \n", + "PG4AllResp 0.7652 0.664 -0.00132 0.01079 0.6674 0.670 0.8805 \n", + "PG4Submit 0.7466 0.659 -0.02698 -0.00543 0.6761 0.752 0.3759 \n", + "PG5_1RRPQ 0.5703 0.468 -0.00579 0.00730 0.4281 0.441 0.3202 \n", + "PG5_1Order 0.5726 0.477 -0.00539 0.00618 0.4341 0.442 0.3310 \n", + "PG5_1Time 0.5711 0.562 0.01075 0.01932 0.4261 0.441 0.3064 \n", + "PG5_2BNUI 0.5319 0.444 -0.00974 -0.00337 0.4028 0.403 0.3205 \n", + "PG5_2Order 0.5332 0.448 -0.01260 -0.00836 0.4103 0.398 0.3170 \n", + "PG5_2Time 0.5305 0.522 0.00687 0.00680 0.4024 0.400 0.3070 \n", + "PG5_3HDS 0.6683 0.602 -0.00140 -0.00348 0.5056 0.494 0.3944 \n", + "PG5_3Order 0.6659 0.594 -0.00207 -0.00814 0.5077 0.488 0.4139 \n", + "PG5_3Time 0.6687 0.727 0.00653 -0.00870 0.5025 0.492 0.4017 \n", + "PG5_4VGP 0.5905 0.510 0.00088 -0.00099 0.4401 0.451 0.3470 \n", + "PG5_4Order 0.5915 0.521 -0.00245 -0.00085 0.4462 0.454 0.3666 \n", + "PG5_4Time 0.5890 0.607 0.01836 0.01406 0.4374 0.464 0.3594 \n", + "PG5_5PHR 0.6762 0.588 0.00662 0.00579 0.5284 0.525 0.4106 \n", + "PG5_5Order 0.6760 0.585 0.00980 0.01466 0.5160 0.524 0.4167 \n", + "PG5_5Time 0.6740 0.721 0.03829 0.03404 0.5032 0.530 0.4265 \n", + "PG5_6SSYOP 0.5948 0.522 0.00642 0.01283 0.4455 0.465 0.3479 \n", + "PG5_6Order 0.5940 0.525 0.00242 0.00979 0.4424 0.461 0.3368 \n", + "PG5_6Time 0.5932 0.620 0.02438 0.02523 0.4421 0.461 0.3333 \n", + "PG5_7NDYP 0.5236 0.443 0.00459 0.00386 0.4132 0.396 0.3146 \n", + "PG5_7Order 0.5221 0.447 0.00261 0.00232 0.4066 0.394 0.3107 \n", + "PG5_7Time 0.5213 0.519 0.01437 0.01468 0.4058 0.394 0.3044 \n", + "... ... ... ... ... ... ... ... \n", + "PG5_9FRP 0.69 0.61 0.0076 0.01624 0.52 0.52 0.38 \n", + "PG5_9Order 0.69 0.61 -0.0052 -0.00201 0.51 0.51 0.41 \n", + "PG5_9Time 0.69 0.74 0.0358 0.03373 0.49 0.53 0.41 \n", + "PG5_10RPA 0.65 0.59 -0.0010 -0.00692 0.49 0.50 0.40 \n", + "PG5_10Order 0.65 0.58 0.0015 -0.00048 0.48 0.51 0.42 \n", + "PG5_10Time 0.65 0.70 0.0128 -0.00336 0.47 0.51 0.43 \n", + "PG5_11NSG 0.56 0.49 -0.0145 -0.00783 0.43 0.43 0.34 \n", + "PG5_11Order 0.56 0.48 -0.0158 -0.00657 0.42 0.42 0.32 \n", + "PG5_11Time 0.56 0.56 -0.0044 -0.00080 0.42 0.42 0.32 \n", + "PG5_12NWG 0.55 0.47 -0.0060 0.00142 0.41 0.41 0.33 \n", + "PG5_12Order 0.54 0.46 -0.0105 -0.00222 0.42 0.41 0.31 \n", + "PG5_12Time 0.54 0.54 0.0074 0.01123 0.41 0.41 0.31 \n", + "PG5_13NFG 0.54 0.46 -0.0148 -0.01006 0.40 0.41 0.34 \n", + "PG5_13Order 0.54 0.46 -0.0072 0.00100 0.40 0.40 0.32 \n", + "PG5_13Time 0.54 0.53 0.0019 0.00513 0.39 0.41 0.32 \n", + "PG5Submit 0.87 0.78 -0.0059 0.01061 0.66 0.72 0.46 \n", + "PG6Resp 0.88 0.78 0.0211 0.02630 0.65 0.67 0.44 \n", + "PG6Submit 0.87 0.77 -0.0014 0.02439 0.67 0.72 0.47 \n", + "PG7R 0.87 0.77 -0.0123 0.00710 0.65 0.65 0.48 \n", + "PG7Submit 0.87 0.79 -0.0023 0.01892 0.66 0.69 0.43 \n", + "PG8Resp 0.86 0.77 -0.0139 0.00357 0.64 0.65 0.42 \n", + "PG8Submit 0.88 0.78 0.0139 0.03195 0.65 0.70 0.41 \n", + "PG9Resp 0.86 0.77 -0.0022 0.02070 0.66 0.64 0.48 \n", + "PG9Submit 0.87 0.78 0.0038 0.02154 0.66 0.72 0.45 \n", + "PG10Resp 0.88 0.77 -0.0023 0.00782 0.66 0.68 0.43 \n", + "PG10Submit 0.87 0.78 -0.0159 -0.00141 0.65 0.69 0.42 \n", + "PG11Resp 0.91 0.79 -0.0152 0.00818 0.69 0.69 0.48 \n", + "PG11Submit 0.89 0.80 -0.0142 -0.00265 0.67 0.69 0.43 \n", + "PG12Resp 0.85 0.76 -0.0183 -0.00509 0.65 0.64 0.45 \n", + "PG12Submit 0.88 0.80 0.0164 0.03279 0.67 0.70 0.44 \n", + " PG4AllResp PG4Submit PG5_1RRPQ ... PG8Resp PG8Submit PG9Resp\n", + "Completed 0.7652 0.7466 0.5703 ... 0.8601 0.876 0.8601\n", + "End 0.6643 0.6589 0.4681 ... 0.7650 0.779 0.7672\n", + "PG0Dis -0.0013 -0.0270 -0.0058 ... -0.0139 0.014 -0.0022\n", + "PG0Shown 0.0108 -0.0054 0.0073 ... 0.0036 0.032 0.0207\n", + "PG2Resp.1 0.6674 0.6761 0.4281 ... 0.6437 0.646 0.6600\n", + "PG3Submit 0.6704 0.7515 0.4412 ... 0.6479 0.697 0.6384\n", + "PG4Prm9_10 0.8805 0.3759 0.3202 ... 0.4155 0.414 0.4802\n", + "PG4AllResp 1.0000 0.6667 0.4527 ... 0.6354 0.645 0.6801\n", + "PG4Submit 0.6667 1.0000 0.4491 ... 0.6742 0.705 0.6338\n", + "PG5_1RRPQ 0.4527 0.4491 1.0000 ... 0.4874 0.498 0.4910\n", + "PG5_1Order 0.4602 0.4481 0.9606 ... 0.4940 0.499 0.4943\n", + "PG5_1Time 0.4454 0.4466 0.9383 ... 0.4970 0.502 0.5000\n", + "PG5_2BNUI 0.4415 0.4027 0.8605 ... 0.4590 0.451 0.4512\n", + "PG5_2Order 0.4428 0.4048 0.8438 ... 0.4535 0.449 0.4618\n", + "PG5_2Time 0.4326 0.4079 0.8328 ... 0.4576 0.453 0.4637\n", + "PG5_3HDS 0.5420 0.5209 0.7069 ... 0.5557 0.594 0.5821\n", + "PG5_3Order 0.5561 0.5071 0.7466 ... 0.5663 0.588 0.5778\n", + "PG5_3Time 0.5444 0.4969 0.6566 ... 0.5640 0.593 0.5924\n", + "PG5_4VGP 0.4852 0.4581 0.7797 ... 0.5078 0.510 0.5119\n", + "PG5_4Order 0.4987 0.4552 0.7957 ... 0.5009 0.511 0.5124\n", + "PG5_4Time 0.4928 0.4586 0.7344 ... 0.5090 0.511 0.5185\n", + "PG5_5PHR 0.5690 0.5131 0.6925 ... 0.6099 0.612 0.5900\n", + "PG5_5Order 0.5696 0.5051 0.7464 ... 0.5958 0.597 0.5921\n", + "PG5_5Time 0.5745 0.4891 0.6412 ... 0.5909 0.597 0.5999\n", + "PG5_6SSYOP 0.4872 0.4686 0.7809 ... 0.5267 0.514 0.5176\n", + "PG5_6Order 0.4791 0.4763 0.7919 ... 0.5200 0.515 0.5060\n", + "PG5_6Time 0.4778 0.4719 0.7304 ... 0.5256 0.511 0.5219\n", + "PG5_7NDYP 0.4358 0.3919 0.8322 ... 0.4619 0.447 0.4515\n", + "PG5_7Order 0.4332 0.3940 0.8261 ... 0.4545 0.441 0.4464\n", + "PG5_7Time 0.4293 0.3876 0.8121 ... 0.4637 0.447 0.4596\n", + "... ... ... ... ... ... ... \n", + "PG5_9FRP 0.56 0.52 0.69 ... 0.60 0.60 0.61 \n", + "PG5_9Order 0.57 0.52 0.73 ... 0.60 0.59 0.61 \n", + "PG5_9Time 0.57 0.51 0.63 ... 0.60 0.61 0.61 \n", + "PG5_10RPA 0.54 0.49 0.70 ... 0.58 0.58 0.58 \n", + "PG5_10Order 0.56 0.49 0.75 ... 0.57 0.58 0.57 \n", + "PG5_10Time 0.56 0.48 0.64 ... 0.57 0.58 0.58 \n", + "PG5_11NSG 0.46 0.43 0.82 ... 0.48 0.49 0.49 \n", + "PG5_11Order 0.45 0.44 0.81 ... 0.48 0.48 0.48 \n", + "PG5_11Time 0.45 0.43 0.78 ... 0.48 0.48 0.49 \n", + "PG5_12NWG 0.45 0.41 0.83 ... 0.47 0.47 0.47 \n", + "PG5_12Order 0.44 0.42 0.83 ... 0.46 0.47 0.47 \n", + "PG5_12Time 0.44 0.41 0.81 ... 0.47 0.47 0.48 \n", + "PG5_13NFG 0.45 0.42 0.84 ... 0.47 0.47 0.46 \n", + "PG5_13Order 0.44 0.41 0.83 ... 0.46 0.47 0.46 \n", + "PG5_13Time 0.44 0.41 0.82 ... 0.46 0.46 0.47 \n", + "PG5Submit 0.68 0.73 0.66 ... 0.77 0.82 0.74 \n", + "PG6Resp 0.66 0.68 0.51 ... 0.78 0.80 0.73 \n", + "PG6Submit 0.68 0.74 0.51 ... 0.77 0.81 0.76 \n", + "PG7R 0.69 0.66 0.52 ... 0.75 0.76 0.76 \n", + "PG7Submit 0.66 0.73 0.51 ... 0.78 0.81 0.78 \n", + "PG8Resp 0.64 0.67 0.49 ... 1.00 0.87 0.74 \n", + "PG8Submit 0.64 0.71 0.50 ... 0.87 1.00 0.73 \n", + "PG9Resp 0.68 0.63 0.49 ... 0.74 0.73 1.00 \n", + "PG9Submit 0.67 0.74 0.51 ... 0.77 0.83 0.76 \n", + "PG10Resp 0.66 0.73 0.49 ... 0.77 0.80 0.74 \n", + "PG10Submit 0.65 0.75 0.49 ... 0.77 0.82 0.74 \n", + "PG11Resp 0.69 0.69 0.51 ... 0.80 0.81 0.81 \n", + "PG11Submit 0.65 0.72 0.50 ... 0.79 0.82 0.76 \n", + "PG12Resp 0.65 0.64 0.47 ... 0.74 0.76 0.77 \n", + "PG12Submit 0.66 0.71 0.50 ... 0.78 0.82 0.77 \n", + " PG9Submit PG10Resp PG10Submit PG11Resp PG11Submit PG12Resp\n", + "Completed 0.8730 0.8783 0.8744 0.9081 0.8870 0.8518 \n", + "End 0.7767 0.7727 0.7815 0.7923 0.7983 0.7624 \n", + "PG0Dis 0.0038 -0.0023 -0.0159 -0.0152 -0.0142 -0.0183 \n", + "PG0Shown 0.0215 0.0078 -0.0014 0.0082 -0.0027 -0.0051 \n", + "PG2Resp.1 0.6605 0.6571 0.6501 0.6915 0.6679 0.6479 \n", + "PG3Submit 0.7170 0.6763 0.6923 0.6882 0.6910 0.6361 \n", + "PG4Prm9_10 0.4521 0.4275 0.4181 0.4785 0.4332 0.4488 \n", + "PG4AllResp 0.6722 0.6630 0.6549 0.6942 0.6545 0.6465 \n", + "PG4Submit 0.7399 0.7324 0.7516 0.6934 0.7248 0.6395 \n", + "PG5_1RRPQ 0.5072 0.4857 0.4869 0.5148 0.4964 0.4683 \n", + "PG5_1Order 0.5089 0.4938 0.4968 0.5195 0.5013 0.4682 \n", + "PG5_1Time 0.5064 0.4944 0.5065 0.5065 0.5045 0.4689 \n", + "PG5_2BNUI 0.4506 0.4503 0.4387 0.4907 0.4578 0.4401 \n", + "PG5_2Order 0.4527 0.4603 0.4520 0.4851 0.4646 0.4399 \n", + "PG5_2Time 0.4529 0.4548 0.4502 0.4808 0.4633 0.4413 \n", + "PG5_3HDS 0.6015 0.5809 0.5824 0.6211 0.5894 0.5785 \n", + "PG5_3Order 0.5909 0.5794 0.5760 0.6200 0.5777 0.5611 \n", + "PG5_3Time 0.5926 0.5705 0.5743 0.6051 0.5799 0.5772 \n", + "PG5_4VGP 0.5007 0.5044 0.4973 0.5311 0.5150 0.4802 \n", + "PG5_4Order 0.5054 0.5112 0.5019 0.5261 0.5071 0.4793 \n", + "PG5_4Time 0.5084 0.5126 0.5089 0.5242 0.5139 0.4787 \n", + "PG5_5PHR 0.5986 0.5613 0.5722 0.6245 0.5864 0.5598 \n", + "PG5_5Order 0.5779 0.5584 0.5643 0.6191 0.5799 0.5731 \n", + "PG5_5Time 0.5818 0.5416 0.5561 0.6117 0.5761 0.5707 \n", + "PG5_6SSYOP 0.5183 0.5131 0.5078 0.5297 0.5159 0.4957 \n", + "PG5_6Order 0.5149 0.5221 0.5166 0.5257 0.5170 0.4994 \n", + "PG5_6Time 0.5200 0.5184 0.5190 0.5210 0.5184 0.5007 \n", + "PG5_7NDYP 0.4419 0.4268 0.4305 0.4682 0.4468 0.4164 \n", + "PG5_7Order 0.4441 0.4421 0.4395 0.4717 0.4470 0.4107 \n", + "PG5_7Time 0.4436 0.4331 0.4397 0.4635 0.4487 0.4171 \n", + "... ... ... ... ... ... ... \n", + "PG5_9FRP 0.60 0.60 0.59 0.64 0.60 0.57 \n", + "PG5_9Order 0.59 0.59 0.58 0.63 0.60 0.57 \n", + "PG5_9Time 0.59 0.59 0.60 0.62 0.60 0.58 \n", + "PG5_10RPA 0.56 0.56 0.55 0.59 0.57 0.56 \n", + "PG5_10Order 0.56 0.56 0.55 0.59 0.56 0.55 \n", + "PG5_10Time 0.56 0.54 0.54 0.58 0.56 0.56 \n", + "PG5_11NSG 0.48 0.48 0.48 0.49 0.48 0.47 \n", + "PG5_11Order 0.48 0.50 0.49 0.50 0.49 0.46 \n", + "PG5_11Time 0.47 0.49 0.49 0.49 0.49 0.46 \n", + "PG5_12NWG 0.47 0.47 0.47 0.49 0.47 0.45 \n", + "PG5_12Order 0.47 0.48 0.47 0.49 0.47 0.45 \n", + "PG5_12Time 0.46 0.47 0.47 0.48 0.47 0.44 \n", + "PG5_13NFG 0.45 0.46 0.45 0.49 0.47 0.45 \n", + "PG5_13Order 0.45 0.47 0.46 0.48 0.47 0.44 \n", + "PG5_13Time 0.44 0.46 0.46 0.48 0.47 0.45 \n", + "PG5Submit 0.84 0.80 0.82 0.79 0.82 0.76 \n", + "PG6Resp 0.78 0.78 0.79 0.79 0.77 0.74 \n", + "PG6Submit 0.87 0.81 0.85 0.80 0.83 0.77 \n", + "PG7R 0.76 0.77 0.76 0.80 0.76 0.74 \n", + "PG7Submit 0.83 0.82 0.84 0.82 0.84 0.77 \n", + "PG8Resp 0.77 0.77 0.77 0.80 0.79 0.74 \n", + "PG8Submit 0.83 0.80 0.82 0.81 0.82 0.76 \n", + "PG9Resp 0.76 0.74 0.74 0.81 0.76 0.77 \n", + "PG9Submit 1.00 0.81 0.84 0.79 0.83 0.74 \n", + "PG10Resp 0.81 1.00 0.94 0.81 0.82 0.73 \n", + "PG10Submit 0.84 0.94 1.00 0.81 0.85 0.75 \n", + "PG11Resp 0.79 0.81 0.81 1.00 0.85 0.80 \n", + "PG11Submit 0.83 0.82 0.85 0.85 1.00 0.78 \n", + "PG12Resp 0.74 0.73 0.75 0.80 0.78 1.00 \n", + "PG12Submit 0.83 0.81 0.84 0.82 0.84 0.80 \n", + " PG12Submit\n", + "Completed 0.885 \n", + "End 0.796 \n", + "PG0Dis 0.016 \n", + "PG0Shown 0.033 \n", + "PG2Resp.1 0.668 \n", + "PG3Submit 0.696 \n", + "PG4Prm9_10 0.444 \n", + "PG4AllResp 0.659 \n", + "PG4Submit 0.715 \n", + "PG5_1RRPQ 0.505 \n", + "PG5_1Order 0.514 \n", + "PG5_1Time 0.517 \n", + "PG5_2BNUI 0.465 \n", + "PG5_2Order 0.472 \n", + "PG5_2Time 0.473 \n", + "PG5_3HDS 0.615 \n", + "PG5_3Order 0.607 \n", + "PG5_3Time 0.613 \n", + "PG5_4VGP 0.517 \n", + "PG5_4Order 0.511 \n", + "PG5_4Time 0.518 \n", + "PG5_5PHR 0.597 \n", + "PG5_5Order 0.599 \n", + "PG5_5Time 0.609 \n", + "PG5_6SSYOP 0.521 \n", + "PG5_6Order 0.527 \n", + "PG5_6Time 0.529 \n", + "PG5_7NDYP 0.456 \n", + "PG5_7Order 0.448 \n", + "PG5_7Time 0.459 \n", + "... ... \n", + "PG5_9FRP 0.61 \n", + "PG5_9Order 0.60 \n", + "PG5_9Time 0.62 \n", + "PG5_10RPA 0.58 \n", + "PG5_10Order 0.57 \n", + "PG5_10Time 0.58 \n", + "PG5_11NSG 0.49 \n", + "PG5_11Order 0.49 \n", + "PG5_11Time 0.50 \n", + "PG5_12NWG 0.48 \n", + "PG5_12Order 0.48 \n", + "PG5_12Time 0.48 \n", + "PG5_13NFG 0.48 \n", + "PG5_13Order 0.47 \n", + "PG5_13Time 0.48 \n", + "PG5Submit 0.82 \n", + "PG6Resp 0.79 \n", + "PG6Submit 0.83 \n", + "PG7R 0.77 \n", + "PG7Submit 0.83 \n", + "PG8Resp 0.78 \n", + "PG8Submit 0.82 \n", + "PG9Resp 0.77 \n", + "PG9Submit 0.83 \n", + "PG10Resp 0.81 \n", + "PG10Submit 0.84 \n", + "PG11Resp 0.82 \n", + "PG11Submit 0.84 \n", + "PG12Resp 0.80 \n", + "PG12Submit 1.00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for(i in colnames(data))\n", + "{\n", + " data[,i] <- as.numeric (data[,i]);\n", + "}\n", + "data <- replace(data, is.na(data), 0)\n", + "\n", + "hiCor <- function(x, level){\n", + " res <- cor(x,method=\"spearman\");\n", + " res1 <- res; res1[res<0] <- -res[res < 0];\n", + " for (i in 1:dim(x)[2]){\n", + " res1[i,i] <- 0;\n", + " }\n", + " sel <- apply(res1,1,max) > level;\n", + " res[sel,sel];\n", + "}\n", + "hiCor(data,.7)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Fitting model, coefficienrs, too much correlation, etc. detailed in output" + ] + }, + { + "cell_type": "code", + "execution_count": 230, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
Device-0.1039
Completed 0.6534
Start 0.0014
End 0.5857
PG0Dis-0.0010
PG0Shown-0.0069
PG0Submit 0.2542
PG1PsnUse 0.2441
PG1WdAuth 0.1244
PG1Trn 0.1019
PG1Other 0.0989
PG1Submit 0.3514
PG2Resp 0.3948
PG2Submit 0.4576
PG2Resp.1 0.4894
PG3Submit 0.4992
PG4Dtr0_6 0.0411
PG4Psv7_8 0.1904
PG4Prm9_10 0.3953
PG4AllResp 0.5422
PG4Submit 0.4913
PG5_1RRPQ 0.6957
PG5_1Order 0.7006
PG5_1Time 0.6721
PG5_2BNUI 0.7204
PG5_2Order 0.7200
PG5_2Time 0.7144
PG5_3HDS 0.6953
PG5_3Order 0.7228
PG5_3Time 0.6821
......
PG5_11Order0.715
PG5_11Time0.702
PG5_12NWG0.727
PG5_12Order0.724
PG5_12Time0.715
PG5_13NFG0.712
PG5_13Order0.706
PG5_13Time0.697
PG5Submit0.700
PG6Resp0.598
PG6Submit0.576
PG7R0.597
PG7C.C..0.108
PG7Java0.100
PG7Python0.246
PG7Javascript0.096
PG7Go0.043
PG7C.0.042
PG7Other0.143
PG7Submit0.567
PG8Resp0.580
PG8Submit0.584
PG9Resp0.582
PG9Submit0.561
PG10Resp0.556
PG10Submit0.547
PG11Resp0.594
PG11Submit0.568
PG12Resp0.558
PG12Submit0.577
\n" + ], + "text/latex": [ + "\\begin{tabular}{r|l}\n", + "\tDevice & -0.1039\\\\\n", + "\tCompleted & 0.6534\\\\\n", + "\tStart & 0.0014\\\\\n", + "\tEnd & 0.5857\\\\\n", + "\tPG0Dis & -0.0010\\\\\n", + "\tPG0Shown & -0.0069\\\\\n", + "\tPG0Submit & 0.2542\\\\\n", + "\tPG1PsnUse & 0.2441\\\\\n", + "\tPG1WdAuth & 0.1244\\\\\n", + "\tPG1Trn & 0.1019\\\\\n", + "\tPG1Other & 0.0989\\\\\n", + "\tPG1Submit & 0.3514\\\\\n", + "\tPG2Resp & 0.3948\\\\\n", + "\tPG2Submit & 0.4576\\\\\n", + "\tPG2Resp.1 & 0.4894\\\\\n", + "\tPG3Submit & 0.4992\\\\\n", + "\tPG4Dtr0\\_6 & 0.0411\\\\\n", + "\tPG4Psv7\\_8 & 0.1904\\\\\n", + "\tPG4Prm9\\_10 & 0.3953\\\\\n", + "\tPG4AllResp & 0.5422\\\\\n", + "\tPG4Submit & 0.4913\\\\\n", + "\tPG5\\_1RRPQ & 0.6957\\\\\n", + "\tPG5\\_1Order & 0.7006\\\\\n", + "\tPG5\\_1Time & 0.6721\\\\\n", + "\tPG5\\_2BNUI & 0.7204\\\\\n", + "\tPG5\\_2Order & 0.7200\\\\\n", + "\tPG5\\_2Time & 0.7144\\\\\n", + "\tPG5\\_3HDS & 0.6953\\\\\n", + "\tPG5\\_3Order & 0.7228\\\\\n", + "\tPG5\\_3Time & 0.6821\\\\\n", + "\t... & ...\\\\\n", + "\tPG5\\_11Order & 0.715\\\\\n", + "\tPG5\\_11Time & 0.702\\\\\n", + "\tPG5\\_12NWG & 0.727\\\\\n", + "\tPG5\\_12Order & 0.724\\\\\n", + "\tPG5\\_12Time & 0.715\\\\\n", + "\tPG5\\_13NFG & 0.712\\\\\n", + "\tPG5\\_13Order & 0.706\\\\\n", + "\tPG5\\_13Time & 0.697\\\\\n", + "\tPG5Submit & 0.700\\\\\n", + "\tPG6Resp & 0.598\\\\\n", + "\tPG6Submit & 0.576\\\\\n", + "\tPG7R & 0.597\\\\\n", + "\tPG7C.C.. & 0.108\\\\\n", + "\tPG7Java & 0.100\\\\\n", + "\tPG7Python & 0.246\\\\\n", + "\tPG7Javascript & 0.096\\\\\n", + "\tPG7Go & 0.043\\\\\n", + "\tPG7C. & 0.042\\\\\n", + "\tPG7Other & 0.143\\\\\n", + "\tPG7Submit & 0.567\\\\\n", + "\tPG8Resp & 0.580\\\\\n", + "\tPG8Submit & 0.584\\\\\n", + "\tPG9Resp & 0.582\\\\\n", + "\tPG9Submit & 0.561\\\\\n", + "\tPG10Resp & 0.556\\\\\n", + "\tPG10Submit & 0.547\\\\\n", + "\tPG11Resp & 0.594\\\\\n", + "\tPG11Submit & 0.568\\\\\n", + "\tPG12Resp & 0.558\\\\\n", + "\tPG12Submit & 0.577\\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| Device | -0.1039 | \n", + "| Completed | 0.6534 | \n", + "| Start | 0.0014 | \n", + "| End | 0.5857 | \n", + "| PG0Dis | -0.0010 | \n", + "| PG0Shown | -0.0069 | \n", + "| PG0Submit | 0.2542 | \n", + "| PG1PsnUse | 0.2441 | \n", + "| PG1WdAuth | 0.1244 | \n", + "| PG1Trn | 0.1019 | \n", + "| PG1Other | 0.0989 | \n", + "| PG1Submit | 0.3514 | \n", + "| PG2Resp | 0.3948 | \n", + "| PG2Submit | 0.4576 | \n", + "| PG2Resp.1 | 0.4894 | \n", + "| PG3Submit | 0.4992 | \n", + "| PG4Dtr0_6 | 0.0411 | \n", + "| PG4Psv7_8 | 0.1904 | \n", + "| PG4Prm9_10 | 0.3953 | \n", + "| PG4AllResp | 0.5422 | \n", + "| PG4Submit | 0.4913 | \n", + "| PG5_1RRPQ | 0.6957 | \n", + "| PG5_1Order | 0.7006 | \n", + "| PG5_1Time | 0.6721 | \n", + "| PG5_2BNUI | 0.7204 | \n", + "| PG5_2Order | 0.7200 | \n", + "| PG5_2Time | 0.7144 | \n", + "| PG5_3HDS | 0.6953 | \n", + "| PG5_3Order | 0.7228 | \n", + "| PG5_3Time | 0.6821 | \n", + "| ... | ... | \n", + "| PG5_11Order | 0.715 | \n", + "| PG5_11Time | 0.702 | \n", + "| PG5_12NWG | 0.727 | \n", + "| PG5_12Order | 0.724 | \n", + "| PG5_12Time | 0.715 | \n", + "| PG5_13NFG | 0.712 | \n", + "| PG5_13Order | 0.706 | \n", + "| PG5_13Time | 0.697 | \n", + "| PG5Submit | 0.700 | \n", + "| PG6Resp | 0.598 | \n", + "| PG6Submit | 0.576 | \n", + "| PG7R | 0.597 | \n", + "| PG7C.C.. | 0.108 | \n", + "| PG7Java | 0.100 | \n", + "| PG7Python | 0.246 | \n", + "| PG7Javascript | 0.096 | \n", + "| PG7Go | 0.043 | \n", + "| PG7C. | 0.042 | \n", + "| PG7Other | 0.143 | \n", + "| PG7Submit | 0.567 | \n", + "| PG8Resp | 0.580 | \n", + "| PG8Submit | 0.584 | \n", + "| PG9Resp | 0.582 | \n", + "| PG9Submit | 0.561 | \n", + "| PG10Resp | 0.556 | \n", + "| PG10Submit | 0.547 | \n", + "| PG11Resp | 0.594 | \n", + "| PG11Submit | 0.568 | \n", + "| PG12Resp | 0.558 | \n", + "| PG12Submit | 0.577 | \n", + "\n", + "\n" + ], + "text/plain": [ + " [,1] \n", + "Device -0.1039\n", + "Completed 0.6534\n", + "Start 0.0014\n", + "End 0.5857\n", + "PG0Dis -0.0010\n", + "PG0Shown -0.0069\n", + "PG0Submit 0.2542\n", + "PG1PsnUse 0.2441\n", + "PG1WdAuth 0.1244\n", + "PG1Trn 0.1019\n", + "PG1Other 0.0989\n", + "PG1Submit 0.3514\n", + "PG2Resp 0.3948\n", + "PG2Submit 0.4576\n", + "PG2Resp.1 0.4894\n", + "PG3Submit 0.4992\n", + "PG4Dtr0_6 0.0411\n", + "PG4Psv7_8 0.1904\n", + "PG4Prm9_10 0.3953\n", + "PG4AllResp 0.5422\n", + "PG4Submit 0.4913\n", + "PG5_1RRPQ 0.6957\n", + "PG5_1Order 0.7006\n", + "PG5_1Time 0.6721\n", + "PG5_2BNUI 0.7204\n", + "PG5_2Order 0.7200\n", + "PG5_2Time 0.7144\n", + "PG5_3HDS 0.6953\n", + "PG5_3Order 0.7228\n", + "PG5_3Time 0.6821\n", + "... ... \n", + "PG5_11Order 0.715 \n", + "PG5_11Time 0.702 \n", + "PG5_12NWG 0.727 \n", + "PG5_12Order 0.724 \n", + "PG5_12Time 0.715 \n", + "PG5_13NFG 0.712 \n", + "PG5_13Order 0.706 \n", + "PG5_13Time 0.697 \n", + "PG5Submit 0.700 \n", + "PG6Resp 0.598 \n", + "PG6Submit 0.576 \n", + "PG7R 0.597 \n", + "PG7C.C.. 0.108 \n", + "PG7Java 0.100 \n", + "PG7Python 0.246 \n", + "PG7Javascript 0.096 \n", + "PG7Go 0.043 \n", + "PG7C. 0.042 \n", + "PG7Other 0.143 \n", + "PG7Submit 0.567 \n", + "PG8Resp 0.580 \n", + "PG8Submit 0.584 \n", + "PG9Resp 0.582 \n", + "PG9Submit 0.561 \n", + "PG10Resp 0.556 \n", + "PG10Submit 0.547 \n", + "PG11Resp 0.594 \n", + "PG11Submit 0.568 \n", + "PG12Resp 0.558 \n", + "PG12Submit 0.577 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "\n", + "Call:\n", + "lm(formula = PG5_2BNUI ~ ., data = data)\n", + "\n", + "Residuals:\n", + " Min 1Q Median 3Q Max \n", + "-2.500 -0.114 0.009 0.123 3.365 \n", + "\n", + "Coefficients: (1 not defined because of singularities)\n", + " Estimate Std. Error t value Pr(>|t|) \n", + "(Intercept) 1.86e+02 7.17e+01 2.59 0.00975 ** \n", + "Device -1.67e-02 3.30e-02 -0.51 0.61247 \n", + "Completed -1.85e+02 7.17e+01 -2.57 0.01017 * \n", + "Start 1.20e-07 4.66e-08 2.57 0.01015 * \n", + "End 1.20e-07 4.66e-08 2.57 0.01018 * \n", + "PG0Dis -6.95e-04 3.27e-04 -2.13 0.03378 * \n", + "PG0Shown 1.56e-04 7.35e-05 2.12 0.03423 * \n", + "PG0Submit 9.33e-06 4.75e-06 1.96 0.04976 * \n", + "PG1PsnUse -1.17e-02 1.48e-02 -0.79 0.42813 \n", + "PG1WdAuth -1.54e-02 2.35e-02 -0.66 0.51242 \n", + "PG1Trn 8.75e-02 5.29e-02 1.65 0.09849 . \n", + "PG1Other 4.46e-03 2.25e-03 1.98 0.04739 * \n", + "PG1Submit -6.52e-05 7.09e-05 -0.92 0.35778 \n", + "PG2Resp 2.92e-02 2.01e-02 1.45 0.14648 \n", + "PG2Submit -1.36e-04 2.69e-04 -0.51 0.61352 \n", + "PG2Resp.1 -6.59e-04 4.20e-04 -1.57 0.11684 \n", + "PG3Submit -1.00e-04 1.18e-04 -0.85 0.39434 \n", + "PG4Dtr0_6 7.01e-03 1.68e-02 0.42 0.67682 \n", + "PG4Psv7_8 3.68e-03 9.42e-03 0.39 0.69613 \n", + "PG4Prm9_10 6.99e-03 6.89e-03 1.01 0.31061 \n", + "PG4AllResp NA NA NA NA \n", + "PG4Submit -1.54e-03 1.23e-03 -1.24 0.21353 \n", + "PG5_1RRPQ 1.96e-01 2.27e-02 8.62 < 2e-16 ***\n", + "PG5_1Order 4.56e-03 7.72e-03 0.59 0.55420 \n", + "PG5_1Time -2.00e-03 3.25e-04 -6.16 9.6e-10 ***\n", + "PG5_2Order 9.37e-03 7.23e-03 1.30 0.19514 \n", + "PG5_2Time 1.19e-02 4.58e-04 25.88 < 2e-16 ***\n", + "PG5_3HDS 3.91e-02 1.96e-02 2.00 0.04575 * \n", + "PG5_3Order 7.59e-03 6.99e-03 1.08 0.27815 \n", + "PG5_3Time -1.78e-04 2.28e-04 -0.78 0.43564 \n", + "PG5_4VGP 5.25e-02 2.26e-02 2.32 0.02049 * \n", + "PG5_4Order 9.53e-03 7.59e-03 1.25 0.20974 \n", + "PG5_4Time -7.81e-04 3.28e-04 -2.38 0.01759 * \n", + "PG5_5PHR 4.46e-02 2.09e-02 2.14 0.03292 * \n", + "PG5_5Order 6.62e-03 7.16e-03 0.92 0.35516 \n", + "PG5_5Time -6.60e-04 2.26e-04 -2.92 0.00357 ** \n", + "PG5_6SSYOP 2.02e-02 2.01e-02 1.01 0.31328 \n", + "PG5_6Order 1.46e-02 7.05e-03 2.07 0.03891 * \n", + "PG5_6Time -4.21e-04 2.72e-04 -1.54 0.12263 \n", + "PG5_7NDYP 1.22e-01 2.55e-02 4.79 1.9e-06 ***\n", + "PG5_7Order 3.31e-03 7.46e-03 0.44 0.65749 \n", + "PG5_7Time -9.37e-04 5.13e-04 -1.83 0.06820 . \n", + "PG5_8CP 5.74e-02 1.97e-02 2.92 0.00357 ** \n", + "PG5_8Order -6.10e-04 6.91e-03 -0.09 0.92976 \n", + "PG5_8Time -2.89e-04 1.78e-04 -1.62 0.10605 \n", + "PG5_9FRP -1.14e-02 2.04e-02 -0.56 0.57586 \n", + "PG5_9Order 3.04e-02 6.68e-03 4.56 5.7e-06 ***\n", + "PG5_9Time -7.59e-05 2.12e-04 -0.36 0.71978 \n", + "PG5_10RPA 1.08e-02 1.98e-02 0.55 0.58465 \n", + "PG5_10Order 6.50e-03 6.94e-03 0.94 0.34920 \n", + "PG5_10Time -2.35e-04 2.63e-04 -0.89 0.37206 \n", + "PG5_11NSG 1.90e-01 2.63e-02 7.21 9.7e-13 ***\n", + "PG5_11Order 1.22e-03 7.63e-03 0.16 0.87336 \n", + "PG5_11Time -2.23e-03 4.66e-04 -4.79 1.8e-06 ***\n", + "PG5_12NWG 6.28e-03 3.39e-02 0.19 0.85309 \n", + "PG5_12Order 2.39e-03 7.60e-03 0.31 0.75296 \n", + "PG5_12Time -1.60e-03 6.51e-04 -2.45 0.01440 * \n", + "PG5_13NFG 1.42e-01 3.47e-02 4.09 4.5e-05 ***\n", + "PG5_13Order 2.31e-02 7.73e-03 2.99 0.00285 ** \n", + "PG5_13Time -1.53e-03 6.28e-04 -2.44 0.01476 * \n", + "PG5Submit -7.90e-05 1.01e-04 -0.78 0.43342 \n", + "PG6Resp -3.09e-02 1.23e-02 -2.51 0.01211 * \n", + "PG6Submit -1.51e-05 8.01e-05 -0.19 0.85036 \n", + "PG7R -1.14e-03 4.53e-03 -0.25 0.80060 \n", + "PG7C.C.. -2.51e-01 7.05e-02 -3.56 0.00039 ***\n", + "PG7Java -1.97e-01 9.07e-02 -2.17 0.03044 * \n", + "PG7Python 1.19e-01 4.95e-02 2.39 0.01686 * \n", + "PG7Javascript 2.36e-02 8.73e-02 0.27 0.78677 \n", + "PG7Go -7.73e-01 4.26e-01 -1.82 0.06962 . \n", + "PG7C. 2.24e-02 1.31e-01 0.17 0.86438 \n", + "PG7Other -2.57e-03 3.03e-02 -0.08 0.93241 \n", + "PG7Submit -7.22e-04 7.93e-04 -0.91 0.36281 \n", + "PG8Resp 8.89e-05 4.26e-04 0.21 0.83480 \n", + "PG8Submit -1.72e-03 1.87e-03 -0.92 0.35985 \n", + "PG9Resp -2.02e-02 1.16e-02 -1.74 0.08185 . \n", + "PG9Submit 9.92e-05 3.53e-05 2.81 0.00500 ** \n", + "PG10Resp 2.85e-03 1.85e-02 0.15 0.87745 \n", + "PG10Submit 5.18e-05 9.97e-05 0.52 0.60365 \n", + "PG11Resp 1.32e-01 4.21e-02 3.14 0.00170 ** \n", + "PG11Submit 9.21e-04 9.15e-04 1.01 0.31453 \n", + "PG12Resp -1.21e-03 1.96e-02 -0.06 0.95088 \n", + "PG12Submit -4.98e-05 3.77e-04 -0.13 0.89493 \n", + "---\n", + "Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n", + "\n", + "Residual standard error: 0.58 on 1272 degrees of freedom\n", + "Multiple R-squared: 0.917,\tAdjusted R-squared: 0.912 \n", + "F-statistic: 175 on 80 and 1272 DF, p-value: <2e-16\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sel = c() \n", + "for (i in 1:dim(data)[2]) if (is.numeric(data[,i])) sel = c(sel, i);\n", + "cor(data[,sel], data[,'PG5_10RPA'], method=\"spearman\",use=\"pairwise.complete.obs\");\n", + "model <- lm(PG5_2BNUI ~ ., data = data)\n", + "summary(model)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In turns out that my hypothesis was correct and the reputation of the author does in fact matter to survey takers. To do this, it consisted of parsing data and then interpreting it. Using R functions like select(), filter(), and reading into models I was able to handle the data. Above each of my code cells is a cell with a short but 'to the point' description of each required aspect of the project, along with the required output below. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, { "cell_type": "markdown", "metadata": {}, @@ -616,7 +2127,7 @@ "mimetype": "text/x-r-source", "name": "R", "pygments_lexer": "r", - "version": "3.4.1" + "version": "3.4.4" } }, "nbformat": 4, diff --git a/ssteinb2.ipynb b/ssteinb2.ipynb new file mode 100644 index 0000000..3931274 --- /dev/null +++ b/ssteinb2.ipynb @@ -0,0 +1,2162 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A Survey on Technology Choice\n", + "======\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "HYPOTHESIS: I think that the priority will be affected by the repuation of the author. I have this stance because the author is generally important to people when answering a survey and trusting that person with their thoughts and opinions. If one does not trust the reputation of the author, they might not answer the questions completely." + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [], + "source": [ + "library(MASS)\n", + "library(dplyr)\n", + "library(tidyr)\n", + "library(caret)\n", + "library(datasets)" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [], + "source": [ + "# For nicer printing\n", + "options(digits=2);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Data from \"TechSurvey - Survey.csv\" is read into the 'data'. The data is then used to convert to times and to calculate time differences" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": {}, + "outputs": [], + "source": [ + "# Read in the data\n", + "data <- read.csv(\"TechSurvey - Survey.csv\",header=T);\n", + "\n", + "#convert date to unix second\n", + "for (i in c(\"Start\", \"End\")) \n", + " data[,i] = as.numeric(as.POSIXct(strptime(data[,i], \"%Y-%m-%d %H:%M:%S\")))\n", + "for (i in 0:12){\n", + " vnam = paste(c(\"PG\",i,\"Submit\"), collapse=\"\")\n", + " data[,vnam] = as.numeric(as.POSIXct(strptime(data[,vnam], \"%Y-%m-%d %H:%M:%S\")))\n", + "}\n", + "#calculate differences in time \n", + "for (i in 12:0){\n", + " pv = paste(c(\"PG\",i-1,\"Submit\"), collapse=\"\");\n", + " if (i==0) \n", + " pv=\"Start\";\n", + " vnam = paste(c(\"PG\",i,\"Submit\"), collapse=\"\");\n", + " data[,vnam] = data[,vnam] -data[,pv];\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + " Device Completed Start End PG0Dis \n", + " : 2 0 : 2 Min. :1.54e+09 Min. :1.54e+09 Min. : 0 \n", + " Bot : 1 FALSE:546 1st Qu.:1.54e+09 1st Qu.:1.54e+09 1st Qu.: 0 \n", + " PC :955 TRUE :805 Median :1.54e+09 Median :1.54e+09 Median : 1 \n", + " Phone :376 Mean :1.54e+09 Mean :1.54e+09 Mean : 44 \n", + " Tablet : 16 3rd Qu.:1.54e+09 3rd Qu.:1.54e+09 3rd Qu.: 24 \n", + " Unknown: 3 Max. :1.54e+09 Max. :1.54e+09 Max. :168 \n", + " NA's :2 NA's :548 NA's :73 \n", + " PG0Shown PG0Submit \n", + " Min. : 0 Min. : 2 \n", + " 1st Qu.: 0 1st Qu.: 6 \n", + " Median : 102 Median : 9 \n", + " Mean : 249 Mean : 299 \n", + " 3rd Qu.: 428 3rd Qu.: 15 \n", + " Max. :1190 Max. :76226 \n", + " NA's :73 NA's :199 \n", + " PG1PsnUse \n", + " For personal work and/or research use :727 \n", + " :613 \n", + " Chapter book : 1 \n", + " For training attendees of my sessions : 1 \n", + " It's a coures on tidyverse that I developed: 1 \n", + " Learning how to create a package : 1 \n", + " (Other) : 9 \n", + " PG1WdAuth \n", + " :1145 \n", + " Because Microsoft was paying me to do it : 1 \n", + " For a wider audience, such as developers of other packages or other software: 205 \n", + " Hackathon : 1 \n", + " Tool for other researchers to analyse their data : 1 \n", + " \n", + " \n", + " PG1Trn \n", + " :1168 \n", + " For a training / class that I took: 184 \n", + " teaching economics : 1 \n", + " \n", + " \n", + " \n", + " \n", + " PG1Other \n", + " :1272 \n", + " Other : 23 \n", + " Teaching : 3 \n", + " teaching : 3 \n", + " For training that I gave : 2 \n", + " How does software technology spreads in the open source community?: 2 \n", + " (Other) : 48 \n", + " PG1Submit PG2Resp PG2Submit \n", + " Min. : 1 :431 Min. : 1 \n", + " 1st Qu.: 11 No :374 1st Qu.: 9 \n", + " Median : 16 Not sure:303 Median : 13 \n", + " Mean : 39 Yes :245 Mean : 29 \n", + " 3rd Qu.: 30 3rd Qu.: 29 \n", + " Max. :6892 Max. :1470 \n", + " NA's :282 NA's :377 \n", + " PG2Resp.1 \n", + " :480 \n", + " The core \"data.frame\" object lacked functionality that I needed :354 \n", + " I saw a recommendation for the package :149 \n", + " Chose the package to be compatible with other packages in my project :137 \n", + " I didn't choose to use the package, it was included implicitly / unintentionally: 39 \n", + " Other : 6 \n", + " (Other) :188 \n", + " PG3Submit PG4Dtr0_6 PG4Psv7_8 PG4Prm9_10 PG4AllResp \n", + " Min. : 1 Min. :0 Min. :7 Min. : 9 Min. : 0 \n", + " 1st Qu.: 16 1st Qu.:3 1st Qu.:7 1st Qu.:10 1st Qu.: 8 \n", + " Median : 23 Median :5 Median :8 Median :10 Median : 9 \n", + " Mean : 44 Mean :4 Mean :8 Mean :10 Mean : 8 \n", + " 3rd Qu.: 40 3rd Qu.:6 3rd Qu.:8 3rd Qu.:10 3rd Qu.:10 \n", + " Max. :4648 Max. :6 Max. :8 Max. :10 Max. :10 \n", + " NA's :451 NA's :1232 NA's :1115 NA's :869 NA's :510 \n", + " PG4Submit PG5_1RRPQ PG5_1Order PG5_1Time \n", + " Min. : 1 :877 Min. : 1 :877 \n", + " 1st Qu.: 6 Essential : 60 1st Qu.: 4 2018-10-11 13:32:57: 3 \n", + " Median : 7 High Priority :102 Median : 7 2018-10-11 13:29:20: 2 \n", + " Mean : 9 Low Priority : 85 Mean : 7 2018-10-11 13:34:56: 2 \n", + " 3rd Qu.: 9 Medium Priority:134 3rd Qu.:11 2018-10-11 13:14:25: 1 \n", + " Max. :332 Not a Priority : 95 Max. :20 2018-10-11 13:14:45: 1 \n", + " NA's :473 NA's :877 (Other) :467 \n", + " PG5_2BNUI PG5_2Order PG5_2Time \n", + " :923 Min. : 1 :923 \n", + " Essential : 3 1st Qu.: 5 2018-10-11 13:21:46: 2 \n", + " High Priority : 26 Median : 8 2018-10-11 13:38:07: 2 \n", + " Low Priority :121 Mean : 8 2018-10-11 13:14:27: 1 \n", + " Medium Priority: 92 3rd Qu.:11 2018-10-11 13:14:40: 1 \n", + " Not a Priority :188 Max. :21 2018-10-11 13:15:18: 1 \n", + " NA's :923 (Other) :423 \n", + " PG5_3HDS PG5_3Order PG5_3Time \n", + " :768 Min. : 1 :768 \n", + " Essential :103 1st Qu.: 2 2018-10-11 13:54:00: 2 \n", + " High Priority :200 Median : 4 2018-10-11 14:21:45: 2 \n", + " Low Priority : 69 Mean : 6 2018-10-11 14:25:51: 2 \n", + " Medium Priority:162 3rd Qu.: 9 2018-10-11 17:21:39: 2 \n", + " Not a Priority : 51 Max. :19 2018-10-11 13:14:18: 1 \n", + " NA's :768 (Other) :576 \n", + " PG5_4VGP PG5_4Order PG5_4Time \n", + " :852 Min. : 1 :852 \n", + " Essential : 22 1st Qu.: 4 2018-10-11 13:16:50: 2 \n", + " High Priority :111 Median : 6 2018-10-11 13:29:51: 2 \n", + " Low Priority : 88 Mean : 7 2018-10-11 13:37:39: 2 \n", + " Medium Priority:164 3rd Qu.:10 2018-10-11 13:38:11: 2 \n", + " Not a Priority :116 Max. :18 2018-10-11 15:42:22: 2 \n", + " NA's :852 (Other) :491 \n", + " PG5_5PHR PG5_5Order PG5_5Time \n", + " :753 Min. : 1 :753 \n", + " Essential : 79 1st Qu.: 2 2018-10-11 13:18:47: 2 \n", + " High Priority :252 Median : 4 2018-10-11 13:18:48: 2 \n", + " Low Priority : 63 Mean : 6 2018-10-11 13:32:40: 2 \n", + " Medium Priority:162 3rd Qu.: 8 2018-10-11 13:38:12: 2 \n", + " Not a Priority : 44 Max. :18 2018-10-11 13:45:48: 2 \n", + " NA's :753 (Other) :590 \n", + " PG5_6SSYOP PG5_6Order PG5_6Time \n", + " :852 Min. : 1 :852 \n", + " Essential : 63 1st Qu.: 3 2018-10-11 13:20:00: 2 \n", + " High Priority :137 Median : 6 2018-10-11 13:40:53: 2 \n", + " Low Priority : 84 Mean : 7 2018-10-11 13:44:00: 2 \n", + " Medium Priority:110 3rd Qu.:10 2018-10-11 13:45:41: 2 \n", + " Not a Priority :107 Max. :17 2018-10-11 16:22:38: 2 \n", + " NA's :852 (Other) :491 \n", + " PG5_7NDYP PG5_7Order PG5_7Time \n", + " :934 Min. : 1 :934 \n", + " Essential : 8 1st Qu.: 4 2018-10-11 13:18:50: 2 \n", + " High Priority : 31 Median : 7 2018-10-11 14:23:19: 2 \n", + " Low Priority : 93 Mean : 7 2018-10-11 13:14:22: 1 \n", + " Medium Priority: 52 3rd Qu.:11 2018-10-11 13:14:50: 1 \n", + " Not a Priority :235 Max. :17 2018-10-11 13:15:08: 1 \n", + " NA's :934 (Other) :412 \n", + " PG5_8CP PG5_8Order PG5_8Time \n", + " :715 Min. : 1 :715 \n", + " Essential :232 1st Qu.: 1 2018-10-11 13:29:46: 2 \n", + " High Priority :197 Median : 4 2018-10-11 13:37:00: 2 \n", + " Low Priority : 52 Mean : 5 2018-10-11 13:38:36: 2 \n", + " Medium Priority:121 3rd Qu.: 8 2018-10-11 13:39:22: 2 \n", + " Not a Priority : 36 Max. :20 2018-10-11 14:02:46: 2 \n", + " NA's :715 (Other) :628 \n", + " PG5_9FRP PG5_9Order PG5_9Time \n", + " :738 Min. : 1 :738 \n", + " Essential :165 1st Qu.: 2 2018-10-11 13:35:13: 2 \n", + " High Priority :243 Median : 4 2018-10-11 13:37:34: 2 \n", + " Low Priority : 42 Mean : 5 2018-10-11 14:02:44: 2 \n", + " Medium Priority:125 3rd Qu.: 9 2018-10-11 13:14:17: 1 \n", + " Not a Priority : 40 Max. :19 2018-10-11 13:14:52: 1 \n", + " NA's :738 (Other) :607 \n", + " PG5_10RPA PG5_10Order PG5_10Time \n", + " :779 Min. : 1 :779 \n", + " Essential : 55 1st Qu.: 2 2018-10-11 13:17:47: 2 \n", + " High Priority :204 Median : 5 2018-10-11 13:27:48: 2 \n", + " Low Priority : 79 Mean : 6 2018-10-11 13:45:33: 2 \n", + " Medium Priority:151 3rd Qu.: 9 2018-10-11 15:30:40: 2 \n", + " Not a Priority : 85 Max. :22 2018-10-11 15:48:40: 2 \n", + " NA's :779 (Other) :564 \n", + " PG5_11NSG PG5_11Order PG5_11Time \n", + " :890 Min. : 1 :890 \n", + " Essential : 6 1st Qu.: 4 2018-10-11 13:19:44: 2 \n", + " High Priority : 29 Median : 6 2018-10-11 13:21:53: 2 \n", + " Low Priority : 89 Mean : 7 2018-10-11 13:31:08: 2 \n", + " Medium Priority: 68 3rd Qu.:10 2018-10-11 13:40:48: 2 \n", + " Not a Priority :271 Max. :18 2018-10-11 14:55:47: 2 \n", + " NA's :890 (Other) :453 \n", + " PG5_12NWG PG5_12Order PG5_12Time \n", + " :916 Min. : 1 :916 \n", + " High Priority : 10 1st Qu.: 5 2018-10-11 13:30:08: 2 \n", + " Low Priority : 77 Median : 7 2018-10-11 13:31:20: 2 \n", + " Medium Priority: 25 Mean : 7 2018-10-11 14:55:40: 2 \n", + " Not a Priority :325 3rd Qu.:11 2018-10-11 13:14:46: 1 \n", + " Max. :18 2018-10-11 13:14:50: 1 \n", + " NA's :916 (Other) :429 \n", + " PG5_13NFG PG5_13Order PG5_13Time PG5Submit \n", + " :920 Min. : 1 :920 Min. : 3 \n", + " High Priority : 10 1st Qu.: 4 2018-10-11 13:17:39: 2 1st Qu.: 45 \n", + " Low Priority : 76 Median : 7 2018-10-11 13:35:20: 2 Median : 62 \n", + " Medium Priority: 37 Mean : 7 2018-10-11 13:35:56: 2 Mean : 87 \n", + " Not a Priority :310 3rd Qu.:10 2018-10-11 15:42:36: 2 3rd Qu.: 84 \n", + " Max. :17 2018-10-11 13:14:41: 1 Max. :4130 \n", + " NA's :920 (Other) :424 NA's :544 \n", + " PG6Resp PG6Submit PG7R PG7C.C.. PG7Java \n", + " :549 Min. : 1 R :684 :1268 :1306 \n", + " 13 - 19 years : 50 1st Qu.: 7 :614 C/C++: 84 Java : 46 \n", + " 2 - 5 years :332 Median : 9 Perl : 6 Cobol: 1 scala: 1 \n", + " 20 years or more : 45 Mean : 24 PHP : 5 \n", + " 6 - 8 years :112 3rd Qu.: 12 SQL : 5 \n", + " 9 - 12 years : 70 Max. :5759 Ruby : 4 \n", + " Less than 2 years:195 NA's :543 (Other): 35 \n", + " PG7Python PG7Javascript PG7Go PG7C. PG7Other \n", + " :1129 :1304 :1351 :1330 :1283 \n", + " Python: 223 Javascript: 48 Go: 2 C#: 23 Other : 62 \n", + " perl : 1 sql : 1 PHP : 2 \n", + " Matlab : 1 \n", + " Ruby : 1 \n", + " SAS : 1 \n", + " (Other): 3 \n", + " PG7Submit PG8Resp PG8Submit PG9Resp \n", + " Min. : 1 :570 Min. : 1 :562 \n", + " 1st Qu.: 6 Data Scientist :379 1st Qu.: 5 2 - 3 :229 \n", + " Median : 8 Software Engineer: 55 Median : 8 4 - 6 :166 \n", + " Mean : 11 Student : 24 Mean : 12 7 - 10 :122 \n", + " 3rd Qu.: 11 Researcher : 15 3rd Qu.: 14 1 : 94 \n", + " Max. :777 PhD student : 10 Max. :207 More than 25: 92 \n", + " NA's :542 (Other) :300 NA's :546 (Other) : 88 \n", + " PG9Submit PG10Resp \n", + " Min. : 0 :565 \n", + " 1st Qu.: 7 Native :424 \n", + " Median : 10 Not native - full working proficiency :263 \n", + " Mean : 40 Not native - limited working proficiency : 17 \n", + " 3rd Qu.: 14 Not native - passable : 5 \n", + " Max. :20126 Not native - sufficient working proficiency: 77 \n", + " NA's :547 Not native - very limited : 2 \n", + " PG10Submit PG11Resp PG11Submit PG12Resp \n", + " Min. : 1 :576 Min. : 1 :590 \n", + " 1st Qu.: 5 Female : 96 1st Qu.: 4 18 - 24 : 34 \n", + " Median : 7 Male :652 Median : 4 25 - 34 :338 \n", + " Mean : 17 Prefer not to answer: 29 Mean : 6 35 - 44 :258 \n", + " 3rd Qu.: 11 3rd Qu.: 5 45 - 54 : 89 \n", + " Max. :5966 Max. :605 55 - 64 : 36 \n", + " NA's :546 NA's :548 65 and over: 8 \n", + " PG12Submit \n", + " Min. : 1 \n", + " 1st Qu.: 4 \n", + " Median : 5 \n", + " Mean : 8 \n", + " 3rd Qu.: 6 \n", + " Max. :1566 \n", + " NA's :548 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#now explore variables\n", + "summary(data);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Interpret basic summaries" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
StartEndPG0DisPG0ShownPG0SubmitPG1SubmitPG2SubmitPG3SubmitPG4Dtr0_6PG4Psv7_8...PG5_12OrderPG5_13OrderPG5SubmitPG6SubmitPG7SubmitPG8SubmitPG9SubmitPG10SubmitPG11SubmitPG12Submit
Start 1.0000 0.9952 -0.0417 -0.11507 0.1350 0.1156 0.0791 0.0384 0.01210 0.00371... -0.0369 0.0598 0.08512 0.0054 0.0776 0.0441 0.04101 0.047 7.9e-02 0.0746
End 0.9952 1.0000 -0.0415 -0.09879 0.1142 0.1550 0.0791 0.0511 -0.05185-0.04576... -0.0359 0.0661 0.09088 0.0051 0.0759 0.0435 0.04071 0.052 7.9e-02 0.0772
PG0Dis-0.0417 -0.0415 1.0000 0.87220 0.0153 0.0065 0.0041 0.0567 0.16368 0.02668... 0.0151 0.0384 0.00601 0.0277 0.0097 0.0354 0.00995-0.029 -4.5e-02 0.0546
PG0Shown-0.1151 -0.0988 0.8722 1.00000 0.0360 0.0205 0.0023 0.0497 0.08226 0.00036... 0.0074 0.0407 -0.00888 0.0401 0.0121 0.0264 0.00056-0.045 -7.1e-02 0.0436
PG0Submit 0.1350 0.1142 0.0153 0.03596 1.0000 0.1088 0.1037 0.1273 -0.00802-0.03763... -0.0161 -0.0280 0.17671 0.1518 0.1365 0.1258 0.17579 0.225 1.1e-01 0.1096
PG1Submit 0.1156 0.1550 0.0065 0.02047 0.1088 1.0000 0.1452 0.2688 -0.06852 0.05661... 0.0512 -0.0651 0.24670 0.2414 0.1133 0.1069 0.10895 0.170 7.4e-02 0.1137
PG2Submit 0.0791 0.0791 0.0041 0.00235 0.1037 0.1452 1.0000 0.2045 0.00146 0.00897... 0.0210 -0.0047 0.21851 0.2696 0.1245 0.1567 0.20127 0.099 1.1e-01 0.1073
PG3Submit 0.0384 0.0511 0.0567 0.04968 0.1273 0.2688 0.2045 1.0000 0.00865 0.04424... 0.0464 -0.0222 0.26048 0.2706 0.1316 0.1822 0.27450 0.161 1.4e-01 0.1642
PG4Dtr0_6 0.0121 -0.0518 0.1637 0.08226-0.0080 -0.0685 0.0015 0.0087 1.00000 NA... 0.1774 -0.1289 -0.05214-0.1618 0.1560 0.0695 -0.07292 0.044 8.4e-04-0.0272
PG4Psv7_8 0.0037 -0.0458 0.0267 0.00036-0.0376 0.0566 0.0090 0.0442 NA 1.00000... -0.0008 -0.0218 0.08974-0.0146 -0.0363 0.0526 0.05977 0.069 -4.9e-02-0.0217
PG4Prm9_10-0.0267 -0.0267 -0.0092 0.03279-0.0939 0.0120 -0.0587 -0.0062 NA NA... 0.0233 0.0916 0.00077-0.0418 -0.0633 -0.0550 -0.02989-0.061 -8.6e-05 0.0169
PG4AllResp 0.0063 -0.0158 0.0018 -0.02094-0.0236 0.0297 0.0293 -0.0193 1.00000 1.00000... -0.0306 -0.0166 0.01248-0.0040 -0.0753 -0.1294 -0.03812-0.106 -8.2e-02-0.0668
PG4Submit 0.0187 0.0172 -0.0539 -0.05978 0.2191 0.1651 0.1515 0.1956 -0.14272-0.08350... -0.0119 -0.0376 0.27328 0.3326 0.2775 0.1821 0.33236 0.391 2.8e-01 0.2360
PG5_1Order 0.0218 0.0196 0.0140 0.01254-0.0240 0.0750 -0.0069 0.0578 -0.09488-0.01399... -0.0785 -0.0950 0.08054 0.0334 0.0173 -0.0388 0.01033-0.096 -2.5e-02 0.0238
PG5_2Order 0.0014 0.0002 -0.0386 -0.03617 0.0402 -0.0226 -0.0297 0.0048 -0.00954 0.08081... 0.0527 -0.0652 0.03898-0.0571 -0.0551 -0.0567 -0.01925 0.015 7.3e-03 0.0469
PG5_3Order-0.0089 -0.0177 0.0441 0.04228 0.0155 0.0391 -0.0131 0.0172 0.13631 0.04396... -0.0698 -0.0250 0.23450 0.0419 0.0058 -0.0086 0.02604 0.063 3.4e-02 0.0538
PG5_4Order 0.0931 0.0949 -0.0262 -0.02214-0.0172 0.0293 0.0560 -0.0462 0.01735-0.12489... -0.0447 -0.0329 0.14487 0.0414 0.0460 0.0182 -0.03734-0.075 -8.6e-02-0.0211
PG5_5Order-0.0523 -0.0466 -0.0087 -0.01058 0.0860 0.0345 0.0570 -0.0165 0.04533-0.06369... -0.0499 -0.0981 0.28698 0.0498 0.0372 0.0427 -0.02976 0.076 2.4e-02 0.0085
PG5_6Order 0.0237 0.0217 -0.0480 -0.04902 0.0762 0.0327 0.1077 0.0370 -0.13255 0.01662... -0.0430 -0.0031 0.22759 0.0165 0.0222 0.0639 -0.02974 0.015 2.8e-02 0.0539
PG5_7Order-0.0200 -0.0236 0.0220 -0.00444-0.1174 -0.0815 -0.0285 0.0242 -0.16196-0.06938... 0.0410 0.0944 0.06439-0.0222 -0.1082 -0.0804 -0.01762-0.017 -4.4e-02-0.0617
PG5_8Order-0.0804 -0.0852 -0.0147 -0.00433-0.0421 -0.0205 -0.0387 -0.0129 -0.16181 0.01019... -0.0896 -0.1168 0.13787-0.1227 -0.0126 -0.0526 -0.05699-0.065 -3.7e-02-0.0182
PG5_9Order 0.0171 0.0167 -0.0712 -0.10235 0.0476 0.0260 -0.0410 -0.0641 -0.07948-0.09747... -0.0431 -0.0837 0.18534-0.0188 -0.0314 -0.0898 -0.01354-0.034 6.2e-03-0.0280
PG5_10Order-0.0214 -0.0112 0.0200 0.02736 0.0086 -0.0017 -0.0418 0.0581 -0.05310 0.15949... -0.0905 -0.1214 0.22151 0.0427 0.0311 0.0345 0.02011 0.102 1.8e-02-0.0092
PG5_11Order-0.0241 -0.0196 0.0190 0.02551 0.0927 -0.0047 -0.1043 0.0279 0.02791-0.03487... 0.1233 0.1434 0.02942-0.0055 0.0210 0.0232 0.05579-0.038 -2.5e-03 0.0275
PG5_12Order-0.0369 -0.0359 0.0151 0.00743-0.0161 0.0512 0.0210 0.0464 0.17741-0.00080... 1.0000 0.1231 0.10997 0.0777 0.0529 0.0149 0.00295 0.016 2.4e-02 0.0167
PG5_13Order 0.0598 0.0661 0.0384 0.04072-0.0280 -0.0651 -0.0047 -0.0222 -0.12890-0.02179... 0.1231 1.0000 0.00976-0.0209 0.0355 0.0556 0.07229-0.023 1.3e-02-0.0614
PG5Submit 0.0851 0.0909 0.0060 -0.00888 0.1767 0.2467 0.2185 0.2605 -0.05214 0.08974... 0.1100 0.0098 1.00000 0.3224 0.2312 0.2035 0.30291 0.269 2.4e-01 0.2588
PG6Submit 0.0054 0.0051 0.0277 0.04005 0.1518 0.2414 0.2696 0.2706 -0.16179-0.01463... 0.0777 -0.0209 0.32240 1.0000 0.3086 0.2065 0.44528 0.343 2.8e-01 0.2904
PG7Submit 0.0776 0.0759 0.0097 0.01212 0.1365 0.1133 0.1245 0.1316 0.15596-0.03631... 0.0529 0.0355 0.23120 0.3086 1.0000 0.1606 0.27819 0.312 2.8e-01 0.2523
PG8Submit 0.0441 0.0435 0.0354 0.02635 0.1258 0.1069 0.1567 0.1822 0.06953 0.05260... 0.0149 0.0556 0.20351 0.2065 0.1606 1.0000 0.25569 0.200 2.1e-01 0.1932
PG9Submit 0.0410 0.0407 0.0099 0.00056 0.1758 0.1090 0.2013 0.2745 -0.07292 0.05977... 0.0029 0.0723 0.30291 0.4453 0.2782 0.2557 1.00000 0.290 2.8e-01 0.2755
PG10Submit 0.0474 0.0517 -0.0293 -0.04481 0.2248 0.1701 0.0989 0.1614 0.04433 0.06942... 0.0159 -0.0227 0.26881 0.3428 0.3121 0.2000 0.29018 1.000 3.5e-01 0.3131
PG11Submit 0.0790 0.0792 -0.0454 -0.07102 0.1093 0.0738 0.1147 0.1383 0.00084-0.04870... 0.0240 0.0130 0.23552 0.2777 0.2768 0.2065 0.27906 0.346 1.0e+00 0.2513
PG12Submit 0.0746 0.0772 0.0546 0.04364 0.1096 0.1137 0.1073 0.1642 -0.02721-0.02169... 0.0167 -0.0614 0.25876 0.2904 0.2523 0.1932 0.27550 0.313 2.5e-01 1.0000
\n" + ], + "text/latex": [ + "\\begin{tabular}{r|llllllllllllllllllllllllllllllllll}\n", + " & Start & End & PG0Dis & PG0Shown & PG0Submit & PG1Submit & PG2Submit & PG3Submit & PG4Dtr0\\_6 & PG4Psv7\\_8 & ... & PG5\\_12Order & PG5\\_13Order & PG5Submit & PG6Submit & PG7Submit & PG8Submit & PG9Submit & PG10Submit & PG11Submit & PG12Submit\\\\\n", + "\\hline\n", + "\tStart & 1.0000 & 0.9952 & -0.0417 & -0.11507 & 0.1350 & 0.1156 & 0.0791 & 0.0384 & 0.01210 & 0.00371 & ... & -0.0369 & 0.0598 & 0.08512 & 0.0054 & 0.0776 & 0.0441 & 0.04101 & 0.047 & 7.9e-02 & 0.0746 \\\\\n", + "\tEnd & 0.9952 & 1.0000 & -0.0415 & -0.09879 & 0.1142 & 0.1550 & 0.0791 & 0.0511 & -0.05185 & -0.04576 & ... & -0.0359 & 0.0661 & 0.09088 & 0.0051 & 0.0759 & 0.0435 & 0.04071 & 0.052 & 7.9e-02 & 0.0772 \\\\\n", + "\tPG0Dis & -0.0417 & -0.0415 & 1.0000 & 0.87220 & 0.0153 & 0.0065 & 0.0041 & 0.0567 & 0.16368 & 0.02668 & ... & 0.0151 & 0.0384 & 0.00601 & 0.0277 & 0.0097 & 0.0354 & 0.00995 & -0.029 & -4.5e-02 & 0.0546 \\\\\n", + "\tPG0Shown & -0.1151 & -0.0988 & 0.8722 & 1.00000 & 0.0360 & 0.0205 & 0.0023 & 0.0497 & 0.08226 & 0.00036 & ... & 0.0074 & 0.0407 & -0.00888 & 0.0401 & 0.0121 & 0.0264 & 0.00056 & -0.045 & -7.1e-02 & 0.0436 \\\\\n", + "\tPG0Submit & 0.1350 & 0.1142 & 0.0153 & 0.03596 & 1.0000 & 0.1088 & 0.1037 & 0.1273 & -0.00802 & -0.03763 & ... & -0.0161 & -0.0280 & 0.17671 & 0.1518 & 0.1365 & 0.1258 & 0.17579 & 0.225 & 1.1e-01 & 0.1096 \\\\\n", + "\tPG1Submit & 0.1156 & 0.1550 & 0.0065 & 0.02047 & 0.1088 & 1.0000 & 0.1452 & 0.2688 & -0.06852 & 0.05661 & ... & 0.0512 & -0.0651 & 0.24670 & 0.2414 & 0.1133 & 0.1069 & 0.10895 & 0.170 & 7.4e-02 & 0.1137 \\\\\n", + "\tPG2Submit & 0.0791 & 0.0791 & 0.0041 & 0.00235 & 0.1037 & 0.1452 & 1.0000 & 0.2045 & 0.00146 & 0.00897 & ... & 0.0210 & -0.0047 & 0.21851 & 0.2696 & 0.1245 & 0.1567 & 0.20127 & 0.099 & 1.1e-01 & 0.1073 \\\\\n", + "\tPG3Submit & 0.0384 & 0.0511 & 0.0567 & 0.04968 & 0.1273 & 0.2688 & 0.2045 & 1.0000 & 0.00865 & 0.04424 & ... & 0.0464 & -0.0222 & 0.26048 & 0.2706 & 0.1316 & 0.1822 & 0.27450 & 0.161 & 1.4e-01 & 0.1642 \\\\\n", + "\tPG4Dtr0\\_6 & 0.0121 & -0.0518 & 0.1637 & 0.08226 & -0.0080 & -0.0685 & 0.0015 & 0.0087 & 1.00000 & NA & ... & 0.1774 & -0.1289 & -0.05214 & -0.1618 & 0.1560 & 0.0695 & -0.07292 & 0.044 & 8.4e-04 & -0.0272 \\\\\n", + "\tPG4Psv7\\_8 & 0.0037 & -0.0458 & 0.0267 & 0.00036 & -0.0376 & 0.0566 & 0.0090 & 0.0442 & NA & 1.00000 & ... & -0.0008 & -0.0218 & 0.08974 & -0.0146 & -0.0363 & 0.0526 & 0.05977 & 0.069 & -4.9e-02 & -0.0217 \\\\\n", + "\tPG4Prm9\\_10 & -0.0267 & -0.0267 & -0.0092 & 0.03279 & -0.0939 & 0.0120 & -0.0587 & -0.0062 & NA & NA & ... & 0.0233 & 0.0916 & 0.00077 & -0.0418 & -0.0633 & -0.0550 & -0.02989 & -0.061 & -8.6e-05 & 0.0169 \\\\\n", + "\tPG4AllResp & 0.0063 & -0.0158 & 0.0018 & -0.02094 & -0.0236 & 0.0297 & 0.0293 & -0.0193 & 1.00000 & 1.00000 & ... & -0.0306 & -0.0166 & 0.01248 & -0.0040 & -0.0753 & -0.1294 & -0.03812 & -0.106 & -8.2e-02 & -0.0668 \\\\\n", + "\tPG4Submit & 0.0187 & 0.0172 & -0.0539 & -0.05978 & 0.2191 & 0.1651 & 0.1515 & 0.1956 & -0.14272 & -0.08350 & ... & -0.0119 & -0.0376 & 0.27328 & 0.3326 & 0.2775 & 0.1821 & 0.33236 & 0.391 & 2.8e-01 & 0.2360 \\\\\n", + "\tPG5\\_1Order & 0.0218 & 0.0196 & 0.0140 & 0.01254 & -0.0240 & 0.0750 & -0.0069 & 0.0578 & -0.09488 & -0.01399 & ... & -0.0785 & -0.0950 & 0.08054 & 0.0334 & 0.0173 & -0.0388 & 0.01033 & -0.096 & -2.5e-02 & 0.0238 \\\\\n", + "\tPG5\\_2Order & 0.0014 & 0.0002 & -0.0386 & -0.03617 & 0.0402 & -0.0226 & -0.0297 & 0.0048 & -0.00954 & 0.08081 & ... & 0.0527 & -0.0652 & 0.03898 & -0.0571 & -0.0551 & -0.0567 & -0.01925 & 0.015 & 7.3e-03 & 0.0469 \\\\\n", + "\tPG5\\_3Order & -0.0089 & -0.0177 & 0.0441 & 0.04228 & 0.0155 & 0.0391 & -0.0131 & 0.0172 & 0.13631 & 0.04396 & ... & -0.0698 & -0.0250 & 0.23450 & 0.0419 & 0.0058 & -0.0086 & 0.02604 & 0.063 & 3.4e-02 & 0.0538 \\\\\n", + "\tPG5\\_4Order & 0.0931 & 0.0949 & -0.0262 & -0.02214 & -0.0172 & 0.0293 & 0.0560 & -0.0462 & 0.01735 & -0.12489 & ... & -0.0447 & -0.0329 & 0.14487 & 0.0414 & 0.0460 & 0.0182 & -0.03734 & -0.075 & -8.6e-02 & -0.0211 \\\\\n", + "\tPG5\\_5Order & -0.0523 & -0.0466 & -0.0087 & -0.01058 & 0.0860 & 0.0345 & 0.0570 & -0.0165 & 0.04533 & -0.06369 & ... & -0.0499 & -0.0981 & 0.28698 & 0.0498 & 0.0372 & 0.0427 & -0.02976 & 0.076 & 2.4e-02 & 0.0085 \\\\\n", + "\tPG5\\_6Order & 0.0237 & 0.0217 & -0.0480 & -0.04902 & 0.0762 & 0.0327 & 0.1077 & 0.0370 & -0.13255 & 0.01662 & ... & -0.0430 & -0.0031 & 0.22759 & 0.0165 & 0.0222 & 0.0639 & -0.02974 & 0.015 & 2.8e-02 & 0.0539 \\\\\n", + "\tPG5\\_7Order & -0.0200 & -0.0236 & 0.0220 & -0.00444 & -0.1174 & -0.0815 & -0.0285 & 0.0242 & -0.16196 & -0.06938 & ... & 0.0410 & 0.0944 & 0.06439 & -0.0222 & -0.1082 & -0.0804 & -0.01762 & -0.017 & -4.4e-02 & -0.0617 \\\\\n", + "\tPG5\\_8Order & -0.0804 & -0.0852 & -0.0147 & -0.00433 & -0.0421 & -0.0205 & -0.0387 & -0.0129 & -0.16181 & 0.01019 & ... & -0.0896 & -0.1168 & 0.13787 & -0.1227 & -0.0126 & -0.0526 & -0.05699 & -0.065 & -3.7e-02 & -0.0182 \\\\\n", + "\tPG5\\_9Order & 0.0171 & 0.0167 & -0.0712 & -0.10235 & 0.0476 & 0.0260 & -0.0410 & -0.0641 & -0.07948 & -0.09747 & ... & -0.0431 & -0.0837 & 0.18534 & -0.0188 & -0.0314 & -0.0898 & -0.01354 & -0.034 & 6.2e-03 & -0.0280 \\\\\n", + "\tPG5\\_10Order & -0.0214 & -0.0112 & 0.0200 & 0.02736 & 0.0086 & -0.0017 & -0.0418 & 0.0581 & -0.05310 & 0.15949 & ... & -0.0905 & -0.1214 & 0.22151 & 0.0427 & 0.0311 & 0.0345 & 0.02011 & 0.102 & 1.8e-02 & -0.0092 \\\\\n", + "\tPG5\\_11Order & -0.0241 & -0.0196 & 0.0190 & 0.02551 & 0.0927 & -0.0047 & -0.1043 & 0.0279 & 0.02791 & -0.03487 & ... & 0.1233 & 0.1434 & 0.02942 & -0.0055 & 0.0210 & 0.0232 & 0.05579 & -0.038 & -2.5e-03 & 0.0275 \\\\\n", + "\tPG5\\_12Order & -0.0369 & -0.0359 & 0.0151 & 0.00743 & -0.0161 & 0.0512 & 0.0210 & 0.0464 & 0.17741 & -0.00080 & ... & 1.0000 & 0.1231 & 0.10997 & 0.0777 & 0.0529 & 0.0149 & 0.00295 & 0.016 & 2.4e-02 & 0.0167 \\\\\n", + "\tPG5\\_13Order & 0.0598 & 0.0661 & 0.0384 & 0.04072 & -0.0280 & -0.0651 & -0.0047 & -0.0222 & -0.12890 & -0.02179 & ... & 0.1231 & 1.0000 & 0.00976 & -0.0209 & 0.0355 & 0.0556 & 0.07229 & -0.023 & 1.3e-02 & -0.0614 \\\\\n", + "\tPG5Submit & 0.0851 & 0.0909 & 0.0060 & -0.00888 & 0.1767 & 0.2467 & 0.2185 & 0.2605 & -0.05214 & 0.08974 & ... & 0.1100 & 0.0098 & 1.00000 & 0.3224 & 0.2312 & 0.2035 & 0.30291 & 0.269 & 2.4e-01 & 0.2588 \\\\\n", + "\tPG6Submit & 0.0054 & 0.0051 & 0.0277 & 0.04005 & 0.1518 & 0.2414 & 0.2696 & 0.2706 & -0.16179 & -0.01463 & ... & 0.0777 & -0.0209 & 0.32240 & 1.0000 & 0.3086 & 0.2065 & 0.44528 & 0.343 & 2.8e-01 & 0.2904 \\\\\n", + "\tPG7Submit & 0.0776 & 0.0759 & 0.0097 & 0.01212 & 0.1365 & 0.1133 & 0.1245 & 0.1316 & 0.15596 & -0.03631 & ... & 0.0529 & 0.0355 & 0.23120 & 0.3086 & 1.0000 & 0.1606 & 0.27819 & 0.312 & 2.8e-01 & 0.2523 \\\\\n", + "\tPG8Submit & 0.0441 & 0.0435 & 0.0354 & 0.02635 & 0.1258 & 0.1069 & 0.1567 & 0.1822 & 0.06953 & 0.05260 & ... & 0.0149 & 0.0556 & 0.20351 & 0.2065 & 0.1606 & 1.0000 & 0.25569 & 0.200 & 2.1e-01 & 0.1932 \\\\\n", + "\tPG9Submit & 0.0410 & 0.0407 & 0.0099 & 0.00056 & 0.1758 & 0.1090 & 0.2013 & 0.2745 & -0.07292 & 0.05977 & ... & 0.0029 & 0.0723 & 0.30291 & 0.4453 & 0.2782 & 0.2557 & 1.00000 & 0.290 & 2.8e-01 & 0.2755 \\\\\n", + "\tPG10Submit & 0.0474 & 0.0517 & -0.0293 & -0.04481 & 0.2248 & 0.1701 & 0.0989 & 0.1614 & 0.04433 & 0.06942 & ... & 0.0159 & -0.0227 & 0.26881 & 0.3428 & 0.3121 & 0.2000 & 0.29018 & 1.000 & 3.5e-01 & 0.3131 \\\\\n", + "\tPG11Submit & 0.0790 & 0.0792 & -0.0454 & -0.07102 & 0.1093 & 0.0738 & 0.1147 & 0.1383 & 0.00084 & -0.04870 & ... & 0.0240 & 0.0130 & 0.23552 & 0.2777 & 0.2768 & 0.2065 & 0.27906 & 0.346 & 1.0e+00 & 0.2513 \\\\\n", + "\tPG12Submit & 0.0746 & 0.0772 & 0.0546 & 0.04364 & 0.1096 & 0.1137 & 0.1073 & 0.1642 & -0.02721 & -0.02169 & ... & 0.0167 & -0.0614 & 0.25876 & 0.2904 & 0.2523 & 0.1932 & 0.27550 & 0.313 & 2.5e-01 & 1.0000 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | Start | End | PG0Dis | PG0Shown | PG0Submit | PG1Submit | PG2Submit | PG3Submit | PG4Dtr0_6 | PG4Psv7_8 | ... | PG5_12Order | PG5_13Order | PG5Submit | PG6Submit | PG7Submit | PG8Submit | PG9Submit | PG10Submit | PG11Submit | PG12Submit | \n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| Start | 1.0000 | 0.9952 | -0.0417 | -0.11507 | 0.1350 | 0.1156 | 0.0791 | 0.0384 | 0.01210 | 0.00371 | ... | -0.0369 | 0.0598 | 0.08512 | 0.0054 | 0.0776 | 0.0441 | 0.04101 | 0.047 | 7.9e-02 | 0.0746 | \n", + "| End | 0.9952 | 1.0000 | -0.0415 | -0.09879 | 0.1142 | 0.1550 | 0.0791 | 0.0511 | -0.05185 | -0.04576 | ... | -0.0359 | 0.0661 | 0.09088 | 0.0051 | 0.0759 | 0.0435 | 0.04071 | 0.052 | 7.9e-02 | 0.0772 | \n", + "| PG0Dis | -0.0417 | -0.0415 | 1.0000 | 0.87220 | 0.0153 | 0.0065 | 0.0041 | 0.0567 | 0.16368 | 0.02668 | ... | 0.0151 | 0.0384 | 0.00601 | 0.0277 | 0.0097 | 0.0354 | 0.00995 | -0.029 | -4.5e-02 | 0.0546 | \n", + "| PG0Shown | -0.1151 | -0.0988 | 0.8722 | 1.00000 | 0.0360 | 0.0205 | 0.0023 | 0.0497 | 0.08226 | 0.00036 | ... | 0.0074 | 0.0407 | -0.00888 | 0.0401 | 0.0121 | 0.0264 | 0.00056 | -0.045 | -7.1e-02 | 0.0436 | \n", + "| PG0Submit | 0.1350 | 0.1142 | 0.0153 | 0.03596 | 1.0000 | 0.1088 | 0.1037 | 0.1273 | -0.00802 | -0.03763 | ... | -0.0161 | -0.0280 | 0.17671 | 0.1518 | 0.1365 | 0.1258 | 0.17579 | 0.225 | 1.1e-01 | 0.1096 | \n", + "| PG1Submit | 0.1156 | 0.1550 | 0.0065 | 0.02047 | 0.1088 | 1.0000 | 0.1452 | 0.2688 | -0.06852 | 0.05661 | ... | 0.0512 | -0.0651 | 0.24670 | 0.2414 | 0.1133 | 0.1069 | 0.10895 | 0.170 | 7.4e-02 | 0.1137 | \n", + "| PG2Submit | 0.0791 | 0.0791 | 0.0041 | 0.00235 | 0.1037 | 0.1452 | 1.0000 | 0.2045 | 0.00146 | 0.00897 | ... | 0.0210 | -0.0047 | 0.21851 | 0.2696 | 0.1245 | 0.1567 | 0.20127 | 0.099 | 1.1e-01 | 0.1073 | \n", + "| PG3Submit | 0.0384 | 0.0511 | 0.0567 | 0.04968 | 0.1273 | 0.2688 | 0.2045 | 1.0000 | 0.00865 | 0.04424 | ... | 0.0464 | -0.0222 | 0.26048 | 0.2706 | 0.1316 | 0.1822 | 0.27450 | 0.161 | 1.4e-01 | 0.1642 | \n", + "| PG4Dtr0_6 | 0.0121 | -0.0518 | 0.1637 | 0.08226 | -0.0080 | -0.0685 | 0.0015 | 0.0087 | 1.00000 | NA | ... | 0.1774 | -0.1289 | -0.05214 | -0.1618 | 0.1560 | 0.0695 | -0.07292 | 0.044 | 8.4e-04 | -0.0272 | \n", + "| PG4Psv7_8 | 0.0037 | -0.0458 | 0.0267 | 0.00036 | -0.0376 | 0.0566 | 0.0090 | 0.0442 | NA | 1.00000 | ... | -0.0008 | -0.0218 | 0.08974 | -0.0146 | -0.0363 | 0.0526 | 0.05977 | 0.069 | -4.9e-02 | -0.0217 | \n", + "| PG4Prm9_10 | -0.0267 | -0.0267 | -0.0092 | 0.03279 | -0.0939 | 0.0120 | -0.0587 | -0.0062 | NA | NA | ... | 0.0233 | 0.0916 | 0.00077 | -0.0418 | -0.0633 | -0.0550 | -0.02989 | -0.061 | -8.6e-05 | 0.0169 | \n", + "| PG4AllResp | 0.0063 | -0.0158 | 0.0018 | -0.02094 | -0.0236 | 0.0297 | 0.0293 | -0.0193 | 1.00000 | 1.00000 | ... | -0.0306 | -0.0166 | 0.01248 | -0.0040 | -0.0753 | -0.1294 | -0.03812 | -0.106 | -8.2e-02 | -0.0668 | \n", + "| PG4Submit | 0.0187 | 0.0172 | -0.0539 | -0.05978 | 0.2191 | 0.1651 | 0.1515 | 0.1956 | -0.14272 | -0.08350 | ... | -0.0119 | -0.0376 | 0.27328 | 0.3326 | 0.2775 | 0.1821 | 0.33236 | 0.391 | 2.8e-01 | 0.2360 | \n", + "| PG5_1Order | 0.0218 | 0.0196 | 0.0140 | 0.01254 | -0.0240 | 0.0750 | -0.0069 | 0.0578 | -0.09488 | -0.01399 | ... | -0.0785 | -0.0950 | 0.08054 | 0.0334 | 0.0173 | -0.0388 | 0.01033 | -0.096 | -2.5e-02 | 0.0238 | \n", + "| PG5_2Order | 0.0014 | 0.0002 | -0.0386 | -0.03617 | 0.0402 | -0.0226 | -0.0297 | 0.0048 | -0.00954 | 0.08081 | ... | 0.0527 | -0.0652 | 0.03898 | -0.0571 | -0.0551 | -0.0567 | -0.01925 | 0.015 | 7.3e-03 | 0.0469 | \n", + "| PG5_3Order | -0.0089 | -0.0177 | 0.0441 | 0.04228 | 0.0155 | 0.0391 | -0.0131 | 0.0172 | 0.13631 | 0.04396 | ... | -0.0698 | -0.0250 | 0.23450 | 0.0419 | 0.0058 | -0.0086 | 0.02604 | 0.063 | 3.4e-02 | 0.0538 | \n", + "| PG5_4Order | 0.0931 | 0.0949 | -0.0262 | -0.02214 | -0.0172 | 0.0293 | 0.0560 | -0.0462 | 0.01735 | -0.12489 | ... | -0.0447 | -0.0329 | 0.14487 | 0.0414 | 0.0460 | 0.0182 | -0.03734 | -0.075 | -8.6e-02 | -0.0211 | \n", + "| PG5_5Order | -0.0523 | -0.0466 | -0.0087 | -0.01058 | 0.0860 | 0.0345 | 0.0570 | -0.0165 | 0.04533 | -0.06369 | ... | -0.0499 | -0.0981 | 0.28698 | 0.0498 | 0.0372 | 0.0427 | -0.02976 | 0.076 | 2.4e-02 | 0.0085 | \n", + "| PG5_6Order | 0.0237 | 0.0217 | -0.0480 | -0.04902 | 0.0762 | 0.0327 | 0.1077 | 0.0370 | -0.13255 | 0.01662 | ... | -0.0430 | -0.0031 | 0.22759 | 0.0165 | 0.0222 | 0.0639 | -0.02974 | 0.015 | 2.8e-02 | 0.0539 | \n", + "| PG5_7Order | -0.0200 | -0.0236 | 0.0220 | -0.00444 | -0.1174 | -0.0815 | -0.0285 | 0.0242 | -0.16196 | -0.06938 | ... | 0.0410 | 0.0944 | 0.06439 | -0.0222 | -0.1082 | -0.0804 | -0.01762 | -0.017 | -4.4e-02 | -0.0617 | \n", + "| PG5_8Order | -0.0804 | -0.0852 | -0.0147 | -0.00433 | -0.0421 | -0.0205 | -0.0387 | -0.0129 | -0.16181 | 0.01019 | ... | -0.0896 | -0.1168 | 0.13787 | -0.1227 | -0.0126 | -0.0526 | -0.05699 | -0.065 | -3.7e-02 | -0.0182 | \n", + "| PG5_9Order | 0.0171 | 0.0167 | -0.0712 | -0.10235 | 0.0476 | 0.0260 | -0.0410 | -0.0641 | -0.07948 | -0.09747 | ... | -0.0431 | -0.0837 | 0.18534 | -0.0188 | -0.0314 | -0.0898 | -0.01354 | -0.034 | 6.2e-03 | -0.0280 | \n", + "| PG5_10Order | -0.0214 | -0.0112 | 0.0200 | 0.02736 | 0.0086 | -0.0017 | -0.0418 | 0.0581 | -0.05310 | 0.15949 | ... | -0.0905 | -0.1214 | 0.22151 | 0.0427 | 0.0311 | 0.0345 | 0.02011 | 0.102 | 1.8e-02 | -0.0092 | \n", + "| PG5_11Order | -0.0241 | -0.0196 | 0.0190 | 0.02551 | 0.0927 | -0.0047 | -0.1043 | 0.0279 | 0.02791 | -0.03487 | ... | 0.1233 | 0.1434 | 0.02942 | -0.0055 | 0.0210 | 0.0232 | 0.05579 | -0.038 | -2.5e-03 | 0.0275 | \n", + "| PG5_12Order | -0.0369 | -0.0359 | 0.0151 | 0.00743 | -0.0161 | 0.0512 | 0.0210 | 0.0464 | 0.17741 | -0.00080 | ... | 1.0000 | 0.1231 | 0.10997 | 0.0777 | 0.0529 | 0.0149 | 0.00295 | 0.016 | 2.4e-02 | 0.0167 | \n", + "| PG5_13Order | 0.0598 | 0.0661 | 0.0384 | 0.04072 | -0.0280 | -0.0651 | -0.0047 | -0.0222 | -0.12890 | -0.02179 | ... | 0.1231 | 1.0000 | 0.00976 | -0.0209 | 0.0355 | 0.0556 | 0.07229 | -0.023 | 1.3e-02 | -0.0614 | \n", + "| PG5Submit | 0.0851 | 0.0909 | 0.0060 | -0.00888 | 0.1767 | 0.2467 | 0.2185 | 0.2605 | -0.05214 | 0.08974 | ... | 0.1100 | 0.0098 | 1.00000 | 0.3224 | 0.2312 | 0.2035 | 0.30291 | 0.269 | 2.4e-01 | 0.2588 | \n", + "| PG6Submit | 0.0054 | 0.0051 | 0.0277 | 0.04005 | 0.1518 | 0.2414 | 0.2696 | 0.2706 | -0.16179 | -0.01463 | ... | 0.0777 | -0.0209 | 0.32240 | 1.0000 | 0.3086 | 0.2065 | 0.44528 | 0.343 | 2.8e-01 | 0.2904 | \n", + "| PG7Submit | 0.0776 | 0.0759 | 0.0097 | 0.01212 | 0.1365 | 0.1133 | 0.1245 | 0.1316 | 0.15596 | -0.03631 | ... | 0.0529 | 0.0355 | 0.23120 | 0.3086 | 1.0000 | 0.1606 | 0.27819 | 0.312 | 2.8e-01 | 0.2523 | \n", + "| PG8Submit | 0.0441 | 0.0435 | 0.0354 | 0.02635 | 0.1258 | 0.1069 | 0.1567 | 0.1822 | 0.06953 | 0.05260 | ... | 0.0149 | 0.0556 | 0.20351 | 0.2065 | 0.1606 | 1.0000 | 0.25569 | 0.200 | 2.1e-01 | 0.1932 | \n", + "| PG9Submit | 0.0410 | 0.0407 | 0.0099 | 0.00056 | 0.1758 | 0.1090 | 0.2013 | 0.2745 | -0.07292 | 0.05977 | ... | 0.0029 | 0.0723 | 0.30291 | 0.4453 | 0.2782 | 0.2557 | 1.00000 | 0.290 | 2.8e-01 | 0.2755 | \n", + "| PG10Submit | 0.0474 | 0.0517 | -0.0293 | -0.04481 | 0.2248 | 0.1701 | 0.0989 | 0.1614 | 0.04433 | 0.06942 | ... | 0.0159 | -0.0227 | 0.26881 | 0.3428 | 0.3121 | 0.2000 | 0.29018 | 1.000 | 3.5e-01 | 0.3131 | \n", + "| PG11Submit | 0.0790 | 0.0792 | -0.0454 | -0.07102 | 0.1093 | 0.0738 | 0.1147 | 0.1383 | 0.00084 | -0.04870 | ... | 0.0240 | 0.0130 | 0.23552 | 0.2777 | 0.2768 | 0.2065 | 0.27906 | 0.346 | 1.0e+00 | 0.2513 | \n", + "| PG12Submit | 0.0746 | 0.0772 | 0.0546 | 0.04364 | 0.1096 | 0.1137 | 0.1073 | 0.1642 | -0.02721 | -0.02169 | ... | 0.0167 | -0.0614 | 0.25876 | 0.2904 | 0.2523 | 0.1932 | 0.27550 | 0.313 | 2.5e-01 | 1.0000 | \n", + "\n", + "\n" + ], + "text/plain": [ + " Start End PG0Dis PG0Shown PG0Submit PG1Submit PG2Submit\n", + "Start 1.0000 0.9952 -0.0417 -0.11507 0.1350 0.1156 0.0791 \n", + "End 0.9952 1.0000 -0.0415 -0.09879 0.1142 0.1550 0.0791 \n", + "PG0Dis -0.0417 -0.0415 1.0000 0.87220 0.0153 0.0065 0.0041 \n", + "PG0Shown -0.1151 -0.0988 0.8722 1.00000 0.0360 0.0205 0.0023 \n", + "PG0Submit 0.1350 0.1142 0.0153 0.03596 1.0000 0.1088 0.1037 \n", + "PG1Submit 0.1156 0.1550 0.0065 0.02047 0.1088 1.0000 0.1452 \n", + "PG2Submit 0.0791 0.0791 0.0041 0.00235 0.1037 0.1452 1.0000 \n", + "PG3Submit 0.0384 0.0511 0.0567 0.04968 0.1273 0.2688 0.2045 \n", + "PG4Dtr0_6 0.0121 -0.0518 0.1637 0.08226 -0.0080 -0.0685 0.0015 \n", + "PG4Psv7_8 0.0037 -0.0458 0.0267 0.00036 -0.0376 0.0566 0.0090 \n", + "PG4Prm9_10 -0.0267 -0.0267 -0.0092 0.03279 -0.0939 0.0120 -0.0587 \n", + "PG4AllResp 0.0063 -0.0158 0.0018 -0.02094 -0.0236 0.0297 0.0293 \n", + "PG4Submit 0.0187 0.0172 -0.0539 -0.05978 0.2191 0.1651 0.1515 \n", + "PG5_1Order 0.0218 0.0196 0.0140 0.01254 -0.0240 0.0750 -0.0069 \n", + "PG5_2Order 0.0014 0.0002 -0.0386 -0.03617 0.0402 -0.0226 -0.0297 \n", + "PG5_3Order -0.0089 -0.0177 0.0441 0.04228 0.0155 0.0391 -0.0131 \n", + "PG5_4Order 0.0931 0.0949 -0.0262 -0.02214 -0.0172 0.0293 0.0560 \n", + "PG5_5Order -0.0523 -0.0466 -0.0087 -0.01058 0.0860 0.0345 0.0570 \n", + "PG5_6Order 0.0237 0.0217 -0.0480 -0.04902 0.0762 0.0327 0.1077 \n", + "PG5_7Order -0.0200 -0.0236 0.0220 -0.00444 -0.1174 -0.0815 -0.0285 \n", + "PG5_8Order -0.0804 -0.0852 -0.0147 -0.00433 -0.0421 -0.0205 -0.0387 \n", + "PG5_9Order 0.0171 0.0167 -0.0712 -0.10235 0.0476 0.0260 -0.0410 \n", + "PG5_10Order -0.0214 -0.0112 0.0200 0.02736 0.0086 -0.0017 -0.0418 \n", + "PG5_11Order -0.0241 -0.0196 0.0190 0.02551 0.0927 -0.0047 -0.1043 \n", + "PG5_12Order -0.0369 -0.0359 0.0151 0.00743 -0.0161 0.0512 0.0210 \n", + "PG5_13Order 0.0598 0.0661 0.0384 0.04072 -0.0280 -0.0651 -0.0047 \n", + "PG5Submit 0.0851 0.0909 0.0060 -0.00888 0.1767 0.2467 0.2185 \n", + "PG6Submit 0.0054 0.0051 0.0277 0.04005 0.1518 0.2414 0.2696 \n", + "PG7Submit 0.0776 0.0759 0.0097 0.01212 0.1365 0.1133 0.1245 \n", + "PG8Submit 0.0441 0.0435 0.0354 0.02635 0.1258 0.1069 0.1567 \n", + "PG9Submit 0.0410 0.0407 0.0099 0.00056 0.1758 0.1090 0.2013 \n", + "PG10Submit 0.0474 0.0517 -0.0293 -0.04481 0.2248 0.1701 0.0989 \n", + "PG11Submit 0.0790 0.0792 -0.0454 -0.07102 0.1093 0.0738 0.1147 \n", + "PG12Submit 0.0746 0.0772 0.0546 0.04364 0.1096 0.1137 0.1073 \n", + " PG3Submit PG4Dtr0_6 PG4Psv7_8 ... PG5_12Order PG5_13Order PG5Submit\n", + "Start 0.0384 0.01210 0.00371 ... -0.0369 0.0598 0.08512 \n", + "End 0.0511 -0.05185 -0.04576 ... -0.0359 0.0661 0.09088 \n", + "PG0Dis 0.0567 0.16368 0.02668 ... 0.0151 0.0384 0.00601 \n", + "PG0Shown 0.0497 0.08226 0.00036 ... 0.0074 0.0407 -0.00888 \n", + "PG0Submit 0.1273 -0.00802 -0.03763 ... -0.0161 -0.0280 0.17671 \n", + "PG1Submit 0.2688 -0.06852 0.05661 ... 0.0512 -0.0651 0.24670 \n", + "PG2Submit 0.2045 0.00146 0.00897 ... 0.0210 -0.0047 0.21851 \n", + "PG3Submit 1.0000 0.00865 0.04424 ... 0.0464 -0.0222 0.26048 \n", + "PG4Dtr0_6 0.0087 1.00000 NA ... 0.1774 -0.1289 -0.05214 \n", + "PG4Psv7_8 0.0442 NA 1.00000 ... -0.0008 -0.0218 0.08974 \n", + "PG4Prm9_10 -0.0062 NA NA ... 0.0233 0.0916 0.00077 \n", + "PG4AllResp -0.0193 1.00000 1.00000 ... -0.0306 -0.0166 0.01248 \n", + "PG4Submit 0.1956 -0.14272 -0.08350 ... -0.0119 -0.0376 0.27328 \n", + "PG5_1Order 0.0578 -0.09488 -0.01399 ... -0.0785 -0.0950 0.08054 \n", + "PG5_2Order 0.0048 -0.00954 0.08081 ... 0.0527 -0.0652 0.03898 \n", + "PG5_3Order 0.0172 0.13631 0.04396 ... -0.0698 -0.0250 0.23450 \n", + "PG5_4Order -0.0462 0.01735 -0.12489 ... -0.0447 -0.0329 0.14487 \n", + "PG5_5Order -0.0165 0.04533 -0.06369 ... -0.0499 -0.0981 0.28698 \n", + "PG5_6Order 0.0370 -0.13255 0.01662 ... -0.0430 -0.0031 0.22759 \n", + "PG5_7Order 0.0242 -0.16196 -0.06938 ... 0.0410 0.0944 0.06439 \n", + "PG5_8Order -0.0129 -0.16181 0.01019 ... -0.0896 -0.1168 0.13787 \n", + "PG5_9Order -0.0641 -0.07948 -0.09747 ... -0.0431 -0.0837 0.18534 \n", + "PG5_10Order 0.0581 -0.05310 0.15949 ... -0.0905 -0.1214 0.22151 \n", + "PG5_11Order 0.0279 0.02791 -0.03487 ... 0.1233 0.1434 0.02942 \n", + "PG5_12Order 0.0464 0.17741 -0.00080 ... 1.0000 0.1231 0.10997 \n", + "PG5_13Order -0.0222 -0.12890 -0.02179 ... 0.1231 1.0000 0.00976 \n", + "PG5Submit 0.2605 -0.05214 0.08974 ... 0.1100 0.0098 1.00000 \n", + "PG6Submit 0.2706 -0.16179 -0.01463 ... 0.0777 -0.0209 0.32240 \n", + "PG7Submit 0.1316 0.15596 -0.03631 ... 0.0529 0.0355 0.23120 \n", + "PG8Submit 0.1822 0.06953 0.05260 ... 0.0149 0.0556 0.20351 \n", + "PG9Submit 0.2745 -0.07292 0.05977 ... 0.0029 0.0723 0.30291 \n", + "PG10Submit 0.1614 0.04433 0.06942 ... 0.0159 -0.0227 0.26881 \n", + "PG11Submit 0.1383 0.00084 -0.04870 ... 0.0240 0.0130 0.23552 \n", + "PG12Submit 0.1642 -0.02721 -0.02169 ... 0.0167 -0.0614 0.25876 \n", + " PG6Submit PG7Submit PG8Submit PG9Submit PG10Submit PG11Submit\n", + "Start 0.0054 0.0776 0.0441 0.04101 0.047 7.9e-02 \n", + "End 0.0051 0.0759 0.0435 0.04071 0.052 7.9e-02 \n", + "PG0Dis 0.0277 0.0097 0.0354 0.00995 -0.029 -4.5e-02 \n", + "PG0Shown 0.0401 0.0121 0.0264 0.00056 -0.045 -7.1e-02 \n", + "PG0Submit 0.1518 0.1365 0.1258 0.17579 0.225 1.1e-01 \n", + "PG1Submit 0.2414 0.1133 0.1069 0.10895 0.170 7.4e-02 \n", + "PG2Submit 0.2696 0.1245 0.1567 0.20127 0.099 1.1e-01 \n", + "PG3Submit 0.2706 0.1316 0.1822 0.27450 0.161 1.4e-01 \n", + "PG4Dtr0_6 -0.1618 0.1560 0.0695 -0.07292 0.044 8.4e-04 \n", + "PG4Psv7_8 -0.0146 -0.0363 0.0526 0.05977 0.069 -4.9e-02 \n", + "PG4Prm9_10 -0.0418 -0.0633 -0.0550 -0.02989 -0.061 -8.6e-05 \n", + "PG4AllResp -0.0040 -0.0753 -0.1294 -0.03812 -0.106 -8.2e-02 \n", + "PG4Submit 0.3326 0.2775 0.1821 0.33236 0.391 2.8e-01 \n", + "PG5_1Order 0.0334 0.0173 -0.0388 0.01033 -0.096 -2.5e-02 \n", + "PG5_2Order -0.0571 -0.0551 -0.0567 -0.01925 0.015 7.3e-03 \n", + "PG5_3Order 0.0419 0.0058 -0.0086 0.02604 0.063 3.4e-02 \n", + "PG5_4Order 0.0414 0.0460 0.0182 -0.03734 -0.075 -8.6e-02 \n", + "PG5_5Order 0.0498 0.0372 0.0427 -0.02976 0.076 2.4e-02 \n", + "PG5_6Order 0.0165 0.0222 0.0639 -0.02974 0.015 2.8e-02 \n", + "PG5_7Order -0.0222 -0.1082 -0.0804 -0.01762 -0.017 -4.4e-02 \n", + "PG5_8Order -0.1227 -0.0126 -0.0526 -0.05699 -0.065 -3.7e-02 \n", + "PG5_9Order -0.0188 -0.0314 -0.0898 -0.01354 -0.034 6.2e-03 \n", + "PG5_10Order 0.0427 0.0311 0.0345 0.02011 0.102 1.8e-02 \n", + "PG5_11Order -0.0055 0.0210 0.0232 0.05579 -0.038 -2.5e-03 \n", + "PG5_12Order 0.0777 0.0529 0.0149 0.00295 0.016 2.4e-02 \n", + "PG5_13Order -0.0209 0.0355 0.0556 0.07229 -0.023 1.3e-02 \n", + "PG5Submit 0.3224 0.2312 0.2035 0.30291 0.269 2.4e-01 \n", + "PG6Submit 1.0000 0.3086 0.2065 0.44528 0.343 2.8e-01 \n", + "PG7Submit 0.3086 1.0000 0.1606 0.27819 0.312 2.8e-01 \n", + "PG8Submit 0.2065 0.1606 1.0000 0.25569 0.200 2.1e-01 \n", + "PG9Submit 0.4453 0.2782 0.2557 1.00000 0.290 2.8e-01 \n", + "PG10Submit 0.3428 0.3121 0.2000 0.29018 1.000 3.5e-01 \n", + "PG11Submit 0.2777 0.2768 0.2065 0.27906 0.346 1.0e+00 \n", + "PG12Submit 0.2904 0.2523 0.1932 0.27550 0.313 2.5e-01 \n", + " PG12Submit\n", + "Start 0.0746 \n", + "End 0.0772 \n", + "PG0Dis 0.0546 \n", + "PG0Shown 0.0436 \n", + "PG0Submit 0.1096 \n", + "PG1Submit 0.1137 \n", + "PG2Submit 0.1073 \n", + "PG3Submit 0.1642 \n", + "PG4Dtr0_6 -0.0272 \n", + "PG4Psv7_8 -0.0217 \n", + "PG4Prm9_10 0.0169 \n", + "PG4AllResp -0.0668 \n", + "PG4Submit 0.2360 \n", + "PG5_1Order 0.0238 \n", + "PG5_2Order 0.0469 \n", + "PG5_3Order 0.0538 \n", + "PG5_4Order -0.0211 \n", + "PG5_5Order 0.0085 \n", + "PG5_6Order 0.0539 \n", + "PG5_7Order -0.0617 \n", + "PG5_8Order -0.0182 \n", + "PG5_9Order -0.0280 \n", + "PG5_10Order -0.0092 \n", + "PG5_11Order 0.0275 \n", + "PG5_12Order 0.0167 \n", + "PG5_13Order -0.0614 \n", + "PG5Submit 0.2588 \n", + "PG6Submit 0.2904 \n", + "PG7Submit 0.2523 \n", + "PG8Submit 0.1932 \n", + "PG9Submit 0.2755 \n", + "PG10Submit 0.3131 \n", + "PG11Submit 0.2513 \n", + "PG12Submit 1.0000 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#get numeric fields only for correlation\n", + "sel = c()\n", + "for (i in 1:dim(data)[2]) if (is.numeric(data[,i])) sel = c(sel, i);\n", + "\n", + "\n", + "cor(data[,sel],method=\"spearman\",use=\"pairwise.complete.obs\"); #OK for any: uses ranks" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This function will filter the surveys to get the completed surveys, and then will print the max, min, mean, median completion times. Also, I added the quartiles. \n", + "\n", + "IF the survey was completed it was filtered. only then do I get the above statistics.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1] \"Survey time notable values: \"\n", + "[1] \"Max time: 87551 seconds\"\n", + "[1] \"Min time: 51 seconds\"\n", + "[1] \"Average time: 680 seconds\"\n", + "[1] \"Median time: 225 seconds\"\n", + "\n", + "[1] \"Quartiles: 51 seconds\" \"Quartiles: 178 seconds\" \n", + "[3] \"Quartiles: 225 seconds\" \"Quartiles: 310 seconds\" \n", + "[5] \"Quartiles: 87551 seconds\"\n" + ] + } + ], + "source": [ + "#Survey times, max time, min time, average survey time, median, qaurtiles of survey time\n", + "data_complete = filter(data, Completed == TRUE)\n", + "survey_time = data_complete$End - data_complete$Start\n", + "print(paste0(\"Survey time notable values: \"))\n", + "print(paste0(\"Max time: \", max(survey_time), ' seconds'))\n", + "print(paste0(\"Min time: \", min(survey_time), ' seconds'))\n", + "print(paste0(\"Average time: \", round(mean(survey_time)), ' seconds'))\n", + "print(paste0(\"Median time: \", median(survey_time), ' seconds'))\n", + "cat(\"\\n\")\n", + "print(paste0(\"Quartiles: \", quantile(survey_time), ' seconds'))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This cell reads in the data and finds the longest and shortest average question times between questions. This will first read in all the data for each qauestion, and then read it into a 'means' variable to get the averages of each. Then, I call the max() and min() function on 'means' to get the question with the longest and shortest times. For formatting purposes I also used the round() function." + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1] \"The question that took the longest time to complete was PG0 at: 299.35 seconds\"\n", + "[1] \"The question that took the least time to complete was PG11 at: 6.37 seconds\"\n" + ] + } + ], + "source": [ + "#Read in data of questions -- Read in the data of each question into a variable\n", + "question0 <- data[,\"PG0Submit\"]\n", + "question1 <- data[,\"PG1Submit\"]\n", + "question2 <- data[,\"PG2Submit\"]\n", + "question3 <- data[,\"PG3Submit\"]\n", + "question4 <- data[,\"PG4Submit\"]\n", + "question5 <- data[,\"PG5Submit\"]\n", + "question6 <- data[,\"PG6Submit\"]\n", + "question7 <- data[,\"PG7Submit\"]\n", + "question8 <- data[,\"PG8Submit\"]\n", + "question9 <- data[,\"PG9Submit\"]\n", + "question10 <- data[,\"PG10Submit\"]\n", + "question11 <- data[,\"PG11Submit\"]\n", + "question12 <- data[,\"PG12Submit\"]\n", + "\n", + "#get mean for each variable\n", + "means <- c()\n", + "means <- c(means, mean(question0, na.rm = TRUE))\n", + "means <- c(means, mean(question1, na.rm = TRUE))\n", + "means <- c(means, mean(question2, na.rm = TRUE))\n", + "means <- c(means, mean(question3, na.rm = TRUE))\n", + "means <- c(means, mean(question4, na.rm = TRUE))\n", + "means <- c(means, mean(question5, na.rm = TRUE))\n", + "means <- c(means, mean(question6, na.rm = TRUE))\n", + "means <- c(means, mean(question7, na.rm = TRUE))\n", + "means <- c(means, mean(question8, na.rm = TRUE))\n", + "means <- c(means, mean(question9, na.rm = TRUE))\n", + "means <- c(means, mean(question10, na.rm = TRUE))\n", + "means <- c(means, mean(question11, na.rm = TRUE))\n", + "means <- c(means, mean(question12, na.rm = TRUE))\n", + "\n", + "#formatting and output\n", + "most_time = format(round(max(means), 2), nsmall = 2)\n", + "least_time = format(round(min(means), 2), nsmall = 2)\n", + "print(paste0(\"The question that took the longest time to complete was PG0 at: \" ,most_time, \" seconds\"))\n", + "print(paste0(\"The question that took the least time to complete was PG11 at: \" ,least_time, \" seconds\"))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Gets the CRITICAL RESPONSES, filtered with my variable prefix PG5. I used the select funtion from the dpylr library to get my critical responses and I then printed the summary below. This is part of my TRANSFORMATION AND CLEANING --> I am ONLY getting the responses that are PG5 and am targeting those questions. I do not care about the other responses." + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " PG5_1RRPQ PG5_2BNUI PG5_3HDS \n", + " :335 :381 :225 \n", + " Essential : 59 Essential : 3 Essential :103 \n", + " High Priority :102 High Priority : 25 High Priority :199 \n", + " Low Priority : 85 Low Priority :120 Low Priority : 68 \n", + " Medium Priority:130 Medium Priority: 91 Medium Priority:161 \n", + " Not a Priority : 94 Not a Priority :185 Not a Priority : 49 \n", + " PG5_4VGP PG5_5PHR PG5_6SSYOP \n", + " :311 :213 :310 \n", + " Essential : 22 Essential : 79 Essential : 61 \n", + " High Priority :109 High Priority :247 High Priority :136 \n", + " Low Priority : 87 Low Priority : 63 Low Priority : 83 \n", + " Medium Priority:162 Medium Priority:160 Medium Priority:109 \n", + " Not a Priority :114 Not a Priority : 43 Not a Priority :106 \n", + " PG5_7NDYP PG5_8CP PG5_9FRP \n", + " :392 :174 :197 \n", + " Essential : 8 Essential :228 Essential :165 \n", + " High Priority : 31 High Priority :195 High Priority :241 \n", + " Low Priority : 90 Low Priority : 51 Low Priority : 40 \n", + " Medium Priority: 52 Medium Priority:121 Medium Priority:123 \n", + " Not a Priority :232 Not a Priority : 36 Not a Priority : 39 \n", + " PG5_10RPA PG5_11NSG PG5_12NWG \n", + " :239 :349 :373 \n", + " Essential : 54 Essential : 6 High Priority : 10 \n", + " High Priority :200 High Priority : 28 Low Priority : 76 \n", + " Low Priority : 79 Low Priority : 87 Medium Priority: 25 \n", + " Medium Priority:150 Medium Priority: 68 Not a Priority :321 \n", + " Not a Priority : 83 Not a Priority :267 \n", + " PG5_13NFG \n", + " :377 \n", + " High Priority : 10 \n", + " Low Priority : 75 \n", + " Medium Priority: 37 \n", + " Not a Priority :306 \n", + " \n" + ] + } + ], + "source": [ + "#Get the critical responses --- Filter to see questions where my variable is\n", + "crit_responses = dplyr::select(data_complete, starts_with('PG5'), -ends_with('Time'), -ends_with('Order'), -ends_with('Submit')) \n", + "print(summary(crit_responses))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Age distribution charts -- I used a bar plot and a pie chart. I used select again here and FILTERED out the bad responses before plotting the distributions. Before plotting I threw the data into a table." + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 18 - 24 25 - 34 35 - 44 45 - 54 55 - 64 65 and over \n", + " 34 338 258 89 36 8 \n" + ] + }, + { + "data": { + "image/png": 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ImQIEBIhAQBQiIkCBASIUGAkAgJAoRE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\nAAAAAElFTkSuQmCC", + "text/plain": [ + "Plot with title \"Age Distribution\"" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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ODg4+Nz+vRpdYNRKpXFLyZ9q4T16tWL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di4DJZkBrjPU3CPDzu586hToIILX+/v6o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\nEMIOACAIYQcAEISwA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+ "text/plain": [ + "Plot with title \"Distribution by Age\"" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Age distributions for my response -- FILTER bad responses\n", + "age <- select(data_complete, PG12Resp) %>%\n", + " filter(PG12Resp != '')\n", + "\n", + "age_dist <- factor(age[,])\n", + "\n", + "print(summary(age_dist))\n", + "barplot(table(age_dist), main = 'Age Distribution')\n", + "\n", + "pie(table(age_dist), main = 'Distribution by Age')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Filter the responses by the most common for my question -- I filter N/A's here as well in my summary.\n", + "\n", + "I used DESCRIPTIVE STATISTICS here in my analysis. I use the select function again and drop the required var's along with the bad incomplete responses. I then print summaries of each for the descriptive portion. This is the cleaning performed.\n", + "Descriptive statistics are best used here because they summarize the collections I make, and allowed mt to best look at each sample as a whole against the other. THIS IS ALSO PART OF MY CLEANING AND TRANSFORMATION." + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Device Start End PG0Dis \n", + " : 0 Min. :1.54e+09 Min. :1.54e+09 Min. : 0 \n", + " Bot : 0 1st Qu.:1.54e+09 1st Qu.:1.54e+09 1st Qu.: 0 \n", + " PC :274 Median :1.54e+09 Median :1.54e+09 Median : 1 \n", + " Phone : 74 Mean :1.54e+09 Mean :1.54e+09 Mean : 46 \n", + " Tablet : 5 3rd Qu.:1.54e+09 3rd Qu.:1.54e+09 3rd Qu.: 24 \n", + " Unknown: 0 Max. :1.54e+09 Max. :1.54e+09 Max. :168 \n", + " \n", + " PG0Shown PG0Submit PG1PsnUse \n", + " Min. : 0 Min. : 2 For personal work and/or research use:248 \n", + " 1st Qu.: 0 1st Qu.: 6 :100 \n", + " Median : 115 Median : 10 Chapter book : 1 \n", + " Mean : 268 Mean : 65 Learning how to create a package : 1 \n", + " 3rd Qu.: 463 3rd Qu.: 16 Teaching : 1 \n", + " Max. :1190 Max. :11060 dissertation research : 1 \n", + " (Other) : 1 \n", + " PG1Trn PG1Submit PG2Resp \n", + " :299 Min. : 1 : 8 \n", + " For a training / class that I took: 53 1st Qu.: 12 No :144 \n", + " teaching economics : 1 Median : 16 Not sure:112 \n", + " Mean : 33 Yes : 89 \n", + " 3rd Qu.: 31 \n", + " Max. :819 \n", + " \n", + " PG2Submit \n", + " Min. : 1 \n", + " 1st Qu.: 9 \n", + " Median : 14 \n", + " Mean : 32 \n", + " 3rd Qu.: 31 \n", + " Max. :1470 \n", + " \n", + " PG2Resp.1 \n", + " The core \"data.frame\" object lacked functionality that I needed :140 \n", + " Chose the package to be compatible with other packages in my project : 60 \n", + " I saw a recommendation for the package : 53 \n", + " : 9 \n", + " I didn't choose to use the package, it was included implicitly / unintentionally: 8 \n", + " Speed : 3 \n", + " (Other) : 80 \n", + " PG3Submit PG5_13Order PG4AllResp PG4Submit PG5_1Order \n", + " Min. : 1 Min. : 1.0 Min. : 0.0 Min. : 3 Min. : 1.0 \n", + " 1st Qu.: 16 1st Qu.: 4.0 1st Qu.: 8.0 1st Qu.: 6 1st Qu.: 5.0 \n", + " Median : 23 Median : 7.0 Median : 9.0 Median : 7 Median : 8.0 \n", + " Mean : 49 Mean : 7.1 Mean : 8.6 Mean : 9 Mean : 8.1 \n", + " 3rd Qu.: 42 3rd Qu.:10.0 3rd Qu.:10.0 3rd Qu.: 9 3rd Qu.:11.0 \n", + " Max. :4648 Max. :17.0 Max. :10.0 Max. :111 Max. :20.0 \n", + " \n", + " PG5_1Time PG5Submit PG6Resp PG6Submit \n", + " 2018-10-11 13:32:57: 2 Min. : 30 : 2 Min. : 1 \n", + " 2018-10-11 13:25:52: 1 1st Qu.: 59 13 - 19 years : 18 1st Qu.: 7 \n", + " 2018-10-11 13:27:25: 1 Median : 71 2 - 5 years :142 Median : 9 \n", + " 2018-10-11 13:27:44: 1 Mean : 87 20 years or more : 19 Mean :11 \n", + " 2018-10-11 13:28:05: 1 3rd Qu.: 89 6 - 8 years : 48 3rd Qu.:13 \n", + " 2018-10-11 13:28:08: 1 Max. :1371 9 - 12 years : 36 Max. :94 \n", + " (Other) :346 Less than 2 years: 88 \n", + " PG7R PG7C.C.. PG7Java PG7Python PG7Javascript PG7Go \n", + " R :294 :314 :334 :255 :334 :351 \n", + " : 25 C/C++: 39 Java : 18 Python: 98 Javascript: 19 Go: 2 \n", + " Perl : 5 Cobol: 0 scala: 1 perl : 0 sql : 0 \n", + " SQL : 4 \n", + " matlab : 4 \n", + " Stata : 3 \n", + " (Other): 18 \n", + " PG7C. PG7Other PG7Submit PG8Resp PG8Submit \n", + " :342 :316 Min. : 1 Data Scientist :172 Min. : 1 \n", + " C#: 11 Other : 36 1st Qu.: 6 Software Engineer: 20 1st Qu.: 5 \n", + " perl : 1 Median : 8 Student : 14 Median : 8 \n", + " Matlab : 0 Mean : 12 : 13 Mean : 12 \n", + " PHP : 0 3rd Qu.: 11 Professor : 8 3rd Qu.: 14 \n", + " Ruby : 0 Max. :777 PhD student : 7 Max. :207 \n", + " (Other): 0 (Other) :119 \n", + " PG9Resp PG9Submit \n", + " 2 - 3 :89 Min. : 1 \n", + " 4 - 6 :83 1st Qu.: 7 \n", + " 7 - 10 :51 Median : 10 \n", + " 1 :46 Mean : 69 \n", + " More than 25:36 3rd Qu.: 13 \n", + " 11 - 15 :26 Max. :20126 \n", + " (Other) :22 \n", + " PG10Resp PG10Submit\n", + " : 9 Min. : 1 \n", + " Native :191 1st Qu.: 5 \n", + " Not native - full working proficiency :113 Median : 7 \n", + " Not native - limited working proficiency : 7 Mean : 9 \n", + " Not native - passable : 2 3rd Qu.:10 \n", + " Not native - sufficient working proficiency: 30 Max. :43 \n", + " Not native - very limited : 1 \n", + " PG11Resp PG11Submit PG12Resp PG12Submit \n", + " : 14 Min. : 1 : 20 Min. : 2.0 \n", + " Female : 40 1st Qu.: 4 18 - 24 : 14 1st Qu.: 4.0 \n", + " Male :286 Median : 4 25 - 34 :154 Median : 5.0 \n", + " Prefer not to answer: 13 Mean : 6 35 - 44 :109 Mean : 5.6 \n", + " 3rd Qu.: 5 45 - 54 : 42 3rd Qu.: 6.0 \n", + " Max. :243 55 - 64 : 12 Max. :26.0 \n", + " 65 and over: 2 \n", + " Device Start End PG0Dis \n", + " : 0 Min. :1.54e+09 Min. :1.54e+09 Min. : 0 \n", + " Bot : 0 1st Qu.:1.54e+09 1st Qu.:1.54e+09 1st Qu.: 0 \n", + " PC :547 Median :1.54e+09 Median :1.54e+09 Median : 1 \n", + " Phone :170 Mean :1.54e+09 Mean :1.54e+09 Mean : 44 \n", + " Tablet : 13 3rd Qu.:1.54e+09 3rd Qu.:1.54e+09 3rd Qu.: 24 \n", + " Unknown: 0 Max. :1.54e+09 Max. :1.54e+09 Max. :168 \n", + " \n", + " PG0Shown PG0Submit \n", + " Min. : 0 Min. : 2 \n", + " 1st Qu.: 0 1st Qu.: 6 \n", + " Median : 118 Median : 10 \n", + " Mean : 262 Mean : 163 \n", + " 3rd Qu.: 444 3rd Qu.: 15 \n", + " Max. :1190 Max. :66474 \n", + " \n", + " PG1PsnUse \n", + " For personal work and/or research use :509 \n", + " :209 \n", + " Chapter book : 1 \n", + " For training attendees of my sessions : 1 \n", + " It's a coures on tidyverse that I developed: 1 \n", + " Learning how to create a package : 1 \n", + " (Other) : 8 \n", + " PG1Trn PG1Submit PG2Resp \n", + " :597 Min. : 1 : 19 \n", + " For a training / class that I took:132 1st Qu.: 11 No :292 \n", + " teaching economics : 1 Median : 16 Not sure:219 \n", + " Mean : 44 Yes :200 \n", + " 3rd Qu.: 31 \n", + " Max. :6892 \n", + " \n", + " PG2Submit \n", + " Min. : 1 \n", + " 1st Qu.: 9 \n", + " Median : 13 \n", + " Mean : 29 \n", + " 3rd Qu.: 30 \n", + " Max. :1470 \n", + " \n", + " PG2Resp.1 \n", + " The core \"data.frame\" object lacked functionality that I needed :296 \n", + " I saw a recommendation for the package :119 \n", + " Chose the package to be compatible with other packages in my project :115 \n", + " I didn't choose to use the package, it was included implicitly / unintentionally: 25 \n", + " : 16 \n", + " Speed : 4 \n", + " (Other) :155 \n", + " PG3Submit PG4AllResp PG4Submit PG5_10RPA \n", + " Min. : 1 Min. : 0.0 Min. : 3 :219 \n", + " 1st Qu.: 16 1st Qu.: 8.0 1st Qu.: 6 Essential : 49 \n", + " Median : 24 Median : 9.0 Median : 7 High Priority :182 \n", + " Mean : 42 Mean : 8.5 Mean : 9 Low Priority : 69 \n", + " 3rd Qu.: 41 3rd Qu.:10.0 3rd Qu.: 10 Medium Priority:139 \n", + " Max. :4648 Max. :10.0 Max. :332 Not a Priority : 72 \n", + " \n", + " PG5_13NFG PG5_1RRPQ PG5_1Time \n", + " :349 :314 :314 \n", + " High Priority : 9 Essential : 48 2018-10-11 13:29:20: 2 \n", + " Low Priority : 65 High Priority : 93 2018-10-11 13:32:57: 2 \n", + " Medium Priority: 34 Low Priority : 80 2018-10-11 13:25:52: 1 \n", + " Not a Priority :273 Medium Priority:114 2018-10-11 13:27:25: 1 \n", + " Not a Priority : 81 2018-10-11 13:27:44: 1 \n", + " (Other) :409 \n", + " PG5Submit PG6Resp PG6Submit PG7R \n", + " Min. : 3 : 5 Min. : 1 R :619 \n", + " 1st Qu.: 45 13 - 19 years : 42 1st Qu.: 7 : 62 \n", + " Median : 61 2 - 5 years :296 Median : 9 Perl : 5 \n", + " Mean : 86 20 years or more : 42 Mean : 26 SQL : 5 \n", + " 3rd Qu.: 83 6 - 8 years :103 3rd Qu.: 12 PHP : 4 \n", + " Max. :4130 9 - 12 years : 66 Max. :5759 Ruby : 4 \n", + " Less than 2 years:176 (Other): 31 \n", + " PG7C.C.. PG7Java PG7Python PG7Javascript PG7Go PG7C. \n", + " :652 :684 :534 :686 :728 :708 \n", + " C/C++: 77 Java : 45 Python:195 Javascript: 43 Go: 2 C#: 22 \n", + " Cobol: 1 scala: 1 perl : 1 sql : 1 \n", + " \n", + " \n", + " \n", + " \n", + " PG7Other PG7Submit PG8Resp PG8Submit \n", + " :668 Min. : 1 Data Scientist :342 Min. : 1 \n", + " Other : 55 1st Qu.: 6 Software Engineer: 50 1st Qu.: 5 \n", + " PHP : 2 Median : 8 Student : 24 Median : 8 \n", + " Matlab : 1 Mean : 11 : 22 Mean : 12 \n", + " Ruby : 1 3rd Qu.: 11 Researcher : 12 3rd Qu.: 14 \n", + " SAS : 1 Max. :777 Professor : 9 Max. :207 \n", + " (Other): 2 (Other) :271 \n", + " PG9Resp PG9Submit \n", + " 2 - 3 :211 Min. : 1 \n", + " 4 - 6 :147 1st Qu.: 8 \n", + " 7 - 10 :107 Median : 10 \n", + " 1 : 87 Mean : 43 \n", + " More than 25: 86 3rd Qu.: 14 \n", + " 11 - 15 : 55 Max. :20126 \n", + " (Other) : 37 \n", + " PG10Resp PG10Submit \n", + " : 18 Min. : 1 \n", + " Native :381 1st Qu.: 6 \n", + " Not native - full working proficiency :240 Median : 7 \n", + " Not native - limited working proficiency : 14 Mean : 9 \n", + " Not native - passable : 4 3rd Qu.: 10 \n", + " Not native - sufficient working proficiency: 71 Max. :285 \n", + " Not native - very limited : 2 \n", + " PG11Resp PG11Submit PG12Resp PG12Submit \n", + " : 25 Min. : 1 : 40 Min. : 1 \n", + " Female : 88 1st Qu.: 4 18 - 24 : 30 1st Qu.: 4 \n", + " Male :590 Median : 4 25 - 34 :312 Median : 5 \n", + " Prefer not to answer: 27 Mean : 6 35 - 44 :229 Mean : 8 \n", + " 3rd Qu.: 5 45 - 54 : 80 3rd Qu.: 6 \n", + " Max. :605 55 - 64 : 31 Max. :1566 \n", + " 65 and over: 8 \n" + ] + } + ], + "source": [ + "set1 = c('Device' ,'Start','End','PG0Dis','PG0Shown','PG0Submit','PG1PsnUse','PG1Trn',\n", + "'PG1Submit' ,'PG2Resp','PG2Submit','PG2Resp.1' ,'PG3Submit' , 'PG5_13Order',\n", + "'PG4AllResp','PG4Submit','PG5_1Order','PG5_1Time','PG5Submit','PG6Resp','PG6Submit','PG7R','PG7C.C..','PG7Java','PG7Python','PG7Javascript',\n", + "'PG7Go','PG7C.','PG7Other','PG7Submit','PG8Resp','PG8Submit','PG9Resp','PG9Submit','PG10Resp','PG10Submit',\n", + "'PG11Resp','PG11Submit','PG12Resp','PG12Submit')\n", + "\n", + "set2 = c('Device' ,'Start','End','PG0Dis','PG0Shown','PG0Submit','PG1PsnUse','PG1Trn',\n", + "'PG1Submit' ,'PG2Resp','PG2Submit','PG2Resp.1' ,'PG3Submit' ,\n", + "'PG4AllResp','PG4Submit', 'PG5_10RPA', 'PG5_13NFG',\n", + "'PG5_1RRPQ','PG5_1Time','PG5Submit','PG6Resp','PG6Submit','PG7R','PG7C.C..','PG7Java','PG7Python','PG7Javascript',\n", + "'PG7Go','PG7C.','PG7Other','PG7Submit','PG8Resp','PG8Submit','PG9Resp','PG9Submit','PG10Resp','PG10Submit',\n", + "'PG11Resp','PG11Submit','PG12Resp','PG12Submit')\n", + "\n", + "df = dplyr::select(data_complete, set1) %>%\n", + " drop_na(PG5_13Order) %>%\n", + " na.omit()\n", + "print(summary(df))\n", + "\n", + "df1 = dplyr::select(data_complete, set2) %>%\n", + " na.omit()\n", + "print(summary(df1))\n", + "#Desired response model\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "After filtering, here is a chart I plotted for the Author's reputation to show descriptive statistics infused into a graph for easier reading and analysis." + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "Plot with title \"Author Reputation\"" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot(df1$PG5_10RPA, main = \"Author Reputation\", ylab = \"Responses\", xlab=\"Importance\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Remove levels of target factoring -- FILTER bad responses and print summary of the plot. This is made using the sets (and data) from the descriptive analysis two cells above." + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CompletedEndPG0DisPG0ShownPG2Resp.1PG3SubmitPG4Prm9_10PG4AllRespPG4SubmitPG5_1RRPQ...PG8RespPG8SubmitPG9RespPG9SubmitPG10RespPG10SubmitPG11RespPG11SubmitPG12RespPG12Submit
Completed 1.0000 0.880 -0.00957 0.013110.7359 0.743 0.5312 0.7652 0.7466 0.5703 ... 0.8601 0.876 0.8601 0.8730 0.8783 0.8744 0.9081 0.8870 0.8518 0.885
End 0.8796 1.000 0.01515 0.014450.6558 0.665 0.4581 0.6643 0.6589 0.4681 ... 0.7650 0.779 0.7672 0.7767 0.7727 0.7815 0.7923 0.7983 0.7624 0.796
PG0Dis-0.0096 0.015 1.00000 0.890920.0078 0.024 -0.0093 -0.0013 -0.0270 -0.0058 ... -0.0139 0.014 -0.0022 0.0038 -0.0023 -0.0159 -0.0152 -0.0142 -0.0183 0.016
PG0Shown 0.0131 0.014 0.89092 1.000000.0259 0.046 -0.0033 0.0108 -0.0054 0.0073 ... 0.0036 0.032 0.0207 0.0215 0.0078 -0.0014 0.0082 -0.0027 -0.0051 0.033
PG2Resp.1 0.7359 0.656 0.00778 0.025851.0000 0.729 0.4421 0.6674 0.6761 0.4281 ... 0.6437 0.646 0.6600 0.6605 0.6571 0.6501 0.6915 0.6679 0.6479 0.668
PG3Submit 0.7431 0.665 0.02376 0.045970.7293 1.000 0.4383 0.6704 0.7515 0.4412 ... 0.6479 0.697 0.6384 0.7170 0.6763 0.6923 0.6882 0.6910 0.6361 0.696
PG4Prm9_10 0.5312 0.458 -0.00930-0.003330.4421 0.438 1.0000 0.8805 0.3759 0.3202 ... 0.4155 0.414 0.4802 0.4521 0.4275 0.4181 0.4785 0.4332 0.4488 0.444
PG4AllResp 0.7652 0.664 -0.00132 0.010790.6674 0.670 0.8805 1.0000 0.6667 0.4527 ... 0.6354 0.645 0.6801 0.6722 0.6630 0.6549 0.6942 0.6545 0.6465 0.659
PG4Submit 0.7466 0.659 -0.02698-0.005430.6761 0.752 0.3759 0.6667 1.0000 0.4491 ... 0.6742 0.705 0.6338 0.7399 0.7324 0.7516 0.6934 0.7248 0.6395 0.715
PG5_1RRPQ 0.5703 0.468 -0.00579 0.007300.4281 0.441 0.3202 0.4527 0.4491 1.0000 ... 0.4874 0.498 0.4910 0.5072 0.4857 0.4869 0.5148 0.4964 0.4683 0.505
PG5_1Order 0.5726 0.477 -0.00539 0.006180.4341 0.442 0.3310 0.4602 0.4481 0.9606 ... 0.4940 0.499 0.4943 0.5089 0.4938 0.4968 0.5195 0.5013 0.4682 0.514
PG5_1Time 0.5711 0.562 0.01075 0.019320.4261 0.441 0.3064 0.4454 0.4466 0.9383 ... 0.4970 0.502 0.5000 0.5064 0.4944 0.5065 0.5065 0.5045 0.4689 0.517
PG5_2BNUI 0.5319 0.444 -0.00974-0.003370.4028 0.403 0.3205 0.4415 0.4027 0.8605 ... 0.4590 0.451 0.4512 0.4506 0.4503 0.4387 0.4907 0.4578 0.4401 0.465
PG5_2Order 0.5332 0.448 -0.01260-0.008360.4103 0.398 0.3170 0.4428 0.4048 0.8438 ... 0.4535 0.449 0.4618 0.4527 0.4603 0.4520 0.4851 0.4646 0.4399 0.472
PG5_2Time 0.5305 0.522 0.00687 0.006800.4024 0.400 0.3070 0.4326 0.4079 0.8328 ... 0.4576 0.453 0.4637 0.4529 0.4548 0.4502 0.4808 0.4633 0.4413 0.473
PG5_3HDS 0.6683 0.602 -0.00140-0.003480.5056 0.494 0.3944 0.5420 0.5209 0.7069 ... 0.5557 0.594 0.5821 0.6015 0.5809 0.5824 0.6211 0.5894 0.5785 0.615
PG5_3Order 0.6659 0.594 -0.00207-0.008140.5077 0.488 0.4139 0.5561 0.5071 0.7466 ... 0.5663 0.588 0.5778 0.5909 0.5794 0.5760 0.6200 0.5777 0.5611 0.607
PG5_3Time 0.6687 0.727 0.00653-0.008700.5025 0.492 0.4017 0.5444 0.4969 0.6566 ... 0.5640 0.593 0.5924 0.5926 0.5705 0.5743 0.6051 0.5799 0.5772 0.613
PG5_4VGP 0.5905 0.510 0.00088-0.000990.4401 0.451 0.3470 0.4852 0.4581 0.7797 ... 0.5078 0.510 0.5119 0.5007 0.5044 0.4973 0.5311 0.5150 0.4802 0.517
PG5_4Order 0.5915 0.521 -0.00245-0.000850.4462 0.454 0.3666 0.4987 0.4552 0.7957 ... 0.5009 0.511 0.5124 0.5054 0.5112 0.5019 0.5261 0.5071 0.4793 0.511
PG5_4Time 0.5890 0.607 0.01836 0.014060.4374 0.464 0.3594 0.4928 0.4586 0.7344 ... 0.5090 0.511 0.5185 0.5084 0.5126 0.5089 0.5242 0.5139 0.4787 0.518
PG5_5PHR 0.6762 0.588 0.00662 0.005790.5284 0.525 0.4106 0.5690 0.5131 0.6925 ... 0.6099 0.612 0.5900 0.5986 0.5613 0.5722 0.6245 0.5864 0.5598 0.597
PG5_5Order 0.6760 0.585 0.00980 0.014660.5160 0.524 0.4167 0.5696 0.5051 0.7464 ... 0.5958 0.597 0.5921 0.5779 0.5584 0.5643 0.6191 0.5799 0.5731 0.599
PG5_5Time 0.6740 0.721 0.03829 0.034040.5032 0.530 0.4265 0.5745 0.4891 0.6412 ... 0.5909 0.597 0.5999 0.5818 0.5416 0.5561 0.6117 0.5761 0.5707 0.609
PG5_6SSYOP 0.5948 0.522 0.00642 0.012830.4455 0.465 0.3479 0.4872 0.4686 0.7809 ... 0.5267 0.514 0.5176 0.5183 0.5131 0.5078 0.5297 0.5159 0.4957 0.521
PG5_6Order 0.5940 0.525 0.00242 0.009790.4424 0.461 0.3368 0.4791 0.4763 0.7919 ... 0.5200 0.515 0.5060 0.5149 0.5221 0.5166 0.5257 0.5170 0.4994 0.527
PG5_6Time 0.5932 0.620 0.02438 0.025230.4421 0.461 0.3333 0.4778 0.4719 0.7304 ... 0.5256 0.511 0.5219 0.5200 0.5184 0.5190 0.5210 0.5184 0.5007 0.529
PG5_7NDYP 0.5236 0.443 0.00459 0.003860.4132 0.396 0.3146 0.4358 0.3919 0.8322 ... 0.4619 0.447 0.4515 0.4419 0.4268 0.4305 0.4682 0.4468 0.4164 0.456
PG5_7Order 0.5221 0.447 0.00261 0.002320.4066 0.394 0.3107 0.4332 0.3940 0.8261 ... 0.4545 0.441 0.4464 0.4441 0.4421 0.4395 0.4717 0.4470 0.4107 0.448
PG5_7Time 0.5213 0.519 0.01437 0.014680.4058 0.394 0.3044 0.4293 0.3876 0.8121 ... 0.4637 0.447 0.4596 0.4436 0.4331 0.4397 0.4635 0.4487 0.4171 0.459
................................. ..............................
PG5_9FRP0.69 0.61 0.0076 0.016240.52 0.52 0.38 0.56 0.52 0.69 ... 0.60 0.60 0.61 0.60 0.60 0.59 0.64 0.60 0.57 0.61
PG5_9Order0.69 0.61 -0.0052 -0.002010.51 0.51 0.41 0.57 0.52 0.73 ... 0.60 0.59 0.61 0.59 0.59 0.58 0.63 0.60 0.57 0.60
PG5_9Time0.69 0.74 0.0358 0.033730.49 0.53 0.41 0.57 0.51 0.63 ... 0.60 0.61 0.61 0.59 0.59 0.60 0.62 0.60 0.58 0.62
PG5_10RPA0.65 0.59 -0.0010 -0.006920.49 0.50 0.40 0.54 0.49 0.70 ... 0.58 0.58 0.58 0.56 0.56 0.55 0.59 0.57 0.56 0.58
PG5_10Order0.65 0.58 0.0015 -0.000480.48 0.51 0.42 0.56 0.49 0.75 ... 0.57 0.58 0.57 0.56 0.56 0.55 0.59 0.56 0.55 0.57
PG5_10Time0.65 0.70 0.0128 -0.003360.47 0.51 0.43 0.56 0.48 0.64 ... 0.57 0.58 0.58 0.56 0.54 0.54 0.58 0.56 0.56 0.58
PG5_11NSG0.56 0.49 -0.0145 -0.007830.43 0.43 0.34 0.46 0.43 0.82 ... 0.48 0.49 0.49 0.48 0.48 0.48 0.49 0.48 0.47 0.49
PG5_11Order0.56 0.48 -0.0158 -0.006570.42 0.42 0.32 0.45 0.44 0.81 ... 0.48 0.48 0.48 0.48 0.50 0.49 0.50 0.49 0.46 0.49
PG5_11Time0.56 0.56 -0.0044 -0.000800.42 0.42 0.32 0.45 0.43 0.78 ... 0.48 0.48 0.49 0.47 0.49 0.49 0.49 0.49 0.46 0.50
PG5_12NWG0.55 0.47 -0.0060 0.001420.41 0.41 0.33 0.45 0.41 0.83 ... 0.47 0.47 0.47 0.47 0.47 0.47 0.49 0.47 0.45 0.48
PG5_12Order0.54 0.46 -0.0105 -0.002220.42 0.41 0.31 0.44 0.42 0.83 ... 0.46 0.47 0.47 0.47 0.48 0.47 0.49 0.47 0.45 0.48
PG5_12Time0.54 0.54 0.0074 0.011230.41 0.41 0.31 0.44 0.41 0.81 ... 0.47 0.47 0.48 0.46 0.47 0.47 0.48 0.47 0.44 0.48
PG5_13NFG0.54 0.46 -0.0148 -0.010060.40 0.41 0.34 0.45 0.42 0.84 ... 0.47 0.47 0.46 0.45 0.46 0.45 0.49 0.47 0.45 0.48
PG5_13Order0.54 0.46 -0.0072 0.001000.40 0.40 0.32 0.44 0.41 0.83 ... 0.46 0.47 0.46 0.45 0.47 0.46 0.48 0.47 0.44 0.47
PG5_13Time0.54 0.53 0.0019 0.005130.39 0.41 0.32 0.44 0.41 0.82 ... 0.46 0.46 0.47 0.44 0.46 0.46 0.48 0.47 0.45 0.48
PG5Submit0.87 0.78 -0.0059 0.010610.66 0.72 0.46 0.68 0.73 0.66 ... 0.77 0.82 0.74 0.84 0.80 0.82 0.79 0.82 0.76 0.82
PG6Resp0.88 0.78 0.0211 0.026300.65 0.67 0.44 0.66 0.68 0.51 ... 0.78 0.80 0.73 0.78 0.78 0.79 0.79 0.77 0.74 0.79
PG6Submit0.87 0.77 -0.0014 0.024390.67 0.72 0.47 0.68 0.74 0.51 ... 0.77 0.81 0.76 0.87 0.81 0.85 0.80 0.83 0.77 0.83
PG7R0.87 0.77 -0.0123 0.007100.65 0.65 0.48 0.69 0.66 0.52 ... 0.75 0.76 0.76 0.76 0.77 0.76 0.80 0.76 0.74 0.77
PG7Submit0.87 0.79 -0.0023 0.018920.66 0.69 0.43 0.66 0.73 0.51 ... 0.78 0.81 0.78 0.83 0.82 0.84 0.82 0.84 0.77 0.83
PG8Resp0.86 0.77 -0.0139 0.003570.64 0.65 0.42 0.64 0.67 0.49 ... 1.00 0.87 0.74 0.77 0.77 0.77 0.80 0.79 0.74 0.78
PG8Submit0.88 0.78 0.0139 0.031950.65 0.70 0.41 0.64 0.71 0.50 ... 0.87 1.00 0.73 0.83 0.80 0.82 0.81 0.82 0.76 0.82
PG9Resp0.86 0.77 -0.0022 0.020700.66 0.64 0.48 0.68 0.63 0.49 ... 0.74 0.73 1.00 0.76 0.74 0.74 0.81 0.76 0.77 0.77
PG9Submit0.87 0.78 0.0038 0.021540.66 0.72 0.45 0.67 0.74 0.51 ... 0.77 0.83 0.76 1.00 0.81 0.84 0.79 0.83 0.74 0.83
PG10Resp0.88 0.77 -0.0023 0.007820.66 0.68 0.43 0.66 0.73 0.49 ... 0.77 0.80 0.74 0.81 1.00 0.94 0.81 0.82 0.73 0.81
PG10Submit0.87 0.78 -0.0159 -0.001410.65 0.69 0.42 0.65 0.75 0.49 ... 0.77 0.82 0.74 0.84 0.94 1.00 0.81 0.85 0.75 0.84
PG11Resp0.91 0.79 -0.0152 0.008180.69 0.69 0.48 0.69 0.69 0.51 ... 0.80 0.81 0.81 0.79 0.81 0.81 1.00 0.85 0.80 0.82
PG11Submit0.89 0.80 -0.0142 -0.002650.67 0.69 0.43 0.65 0.72 0.50 ... 0.79 0.82 0.76 0.83 0.82 0.85 0.85 1.00 0.78 0.84
PG12Resp0.85 0.76 -0.0183 -0.005090.65 0.64 0.45 0.65 0.64 0.47 ... 0.74 0.76 0.77 0.74 0.73 0.75 0.80 0.78 1.00 0.80
PG12Submit0.88 0.80 0.0164 0.032790.67 0.70 0.44 0.66 0.71 0.50 ... 0.78 0.82 0.77 0.83 0.81 0.84 0.82 0.84 0.80 1.00
\n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllll}\n", + " & Completed & End & PG0Dis & PG0Shown & PG2Resp.1 & PG3Submit & PG4Prm9\\_10 & PG4AllResp & PG4Submit & PG5\\_1RRPQ & ... & PG8Resp & PG8Submit & PG9Resp & PG9Submit & PG10Resp & PG10Submit & PG11Resp & PG11Submit & PG12Resp & PG12Submit\\\\\n", + "\\hline\n", + "\tCompleted & 1.0000 & 0.880 & -0.00957 & 0.01311 & 0.7359 & 0.743 & 0.5312 & 0.7652 & 0.7466 & 0.5703 & ... & 0.8601 & 0.876 & 0.8601 & 0.8730 & 0.8783 & 0.8744 & 0.9081 & 0.8870 & 0.8518 & 0.885 \\\\\n", + "\tEnd & 0.8796 & 1.000 & 0.01515 & 0.01445 & 0.6558 & 0.665 & 0.4581 & 0.6643 & 0.6589 & 0.4681 & ... & 0.7650 & 0.779 & 0.7672 & 0.7767 & 0.7727 & 0.7815 & 0.7923 & 0.7983 & 0.7624 & 0.796 \\\\\n", + "\tPG0Dis & -0.0096 & 0.015 & 1.00000 & 0.89092 & 0.0078 & 0.024 & -0.0093 & -0.0013 & -0.0270 & -0.0058 & ... & -0.0139 & 0.014 & -0.0022 & 0.0038 & -0.0023 & -0.0159 & -0.0152 & -0.0142 & -0.0183 & 0.016 \\\\\n", + "\tPG0Shown & 0.0131 & 0.014 & 0.89092 & 1.00000 & 0.0259 & 0.046 & -0.0033 & 0.0108 & -0.0054 & 0.0073 & ... & 0.0036 & 0.032 & 0.0207 & 0.0215 & 0.0078 & -0.0014 & 0.0082 & -0.0027 & -0.0051 & 0.033 \\\\\n", + "\tPG2Resp.1 & 0.7359 & 0.656 & 0.00778 & 0.02585 & 1.0000 & 0.729 & 0.4421 & 0.6674 & 0.6761 & 0.4281 & ... & 0.6437 & 0.646 & 0.6600 & 0.6605 & 0.6571 & 0.6501 & 0.6915 & 0.6679 & 0.6479 & 0.668 \\\\\n", + "\tPG3Submit & 0.7431 & 0.665 & 0.02376 & 0.04597 & 0.7293 & 1.000 & 0.4383 & 0.6704 & 0.7515 & 0.4412 & ... & 0.6479 & 0.697 & 0.6384 & 0.7170 & 0.6763 & 0.6923 & 0.6882 & 0.6910 & 0.6361 & 0.696 \\\\\n", + "\tPG4Prm9\\_10 & 0.5312 & 0.458 & -0.00930 & -0.00333 & 0.4421 & 0.438 & 1.0000 & 0.8805 & 0.3759 & 0.3202 & ... & 0.4155 & 0.414 & 0.4802 & 0.4521 & 0.4275 & 0.4181 & 0.4785 & 0.4332 & 0.4488 & 0.444 \\\\\n", + "\tPG4AllResp & 0.7652 & 0.664 & -0.00132 & 0.01079 & 0.6674 & 0.670 & 0.8805 & 1.0000 & 0.6667 & 0.4527 & ... & 0.6354 & 0.645 & 0.6801 & 0.6722 & 0.6630 & 0.6549 & 0.6942 & 0.6545 & 0.6465 & 0.659 \\\\\n", + "\tPG4Submit & 0.7466 & 0.659 & -0.02698 & -0.00543 & 0.6761 & 0.752 & 0.3759 & 0.6667 & 1.0000 & 0.4491 & ... & 0.6742 & 0.705 & 0.6338 & 0.7399 & 0.7324 & 0.7516 & 0.6934 & 0.7248 & 0.6395 & 0.715 \\\\\n", + "\tPG5\\_1RRPQ & 0.5703 & 0.468 & -0.00579 & 0.00730 & 0.4281 & 0.441 & 0.3202 & 0.4527 & 0.4491 & 1.0000 & ... & 0.4874 & 0.498 & 0.4910 & 0.5072 & 0.4857 & 0.4869 & 0.5148 & 0.4964 & 0.4683 & 0.505 \\\\\n", + "\tPG5\\_1Order & 0.5726 & 0.477 & -0.00539 & 0.00618 & 0.4341 & 0.442 & 0.3310 & 0.4602 & 0.4481 & 0.9606 & ... & 0.4940 & 0.499 & 0.4943 & 0.5089 & 0.4938 & 0.4968 & 0.5195 & 0.5013 & 0.4682 & 0.514 \\\\\n", + "\tPG5\\_1Time & 0.5711 & 0.562 & 0.01075 & 0.01932 & 0.4261 & 0.441 & 0.3064 & 0.4454 & 0.4466 & 0.9383 & ... & 0.4970 & 0.502 & 0.5000 & 0.5064 & 0.4944 & 0.5065 & 0.5065 & 0.5045 & 0.4689 & 0.517 \\\\\n", + "\tPG5\\_2BNUI & 0.5319 & 0.444 & -0.00974 & -0.00337 & 0.4028 & 0.403 & 0.3205 & 0.4415 & 0.4027 & 0.8605 & ... & 0.4590 & 0.451 & 0.4512 & 0.4506 & 0.4503 & 0.4387 & 0.4907 & 0.4578 & 0.4401 & 0.465 \\\\\n", + "\tPG5\\_2Order & 0.5332 & 0.448 & -0.01260 & -0.00836 & 0.4103 & 0.398 & 0.3170 & 0.4428 & 0.4048 & 0.8438 & ... & 0.4535 & 0.449 & 0.4618 & 0.4527 & 0.4603 & 0.4520 & 0.4851 & 0.4646 & 0.4399 & 0.472 \\\\\n", + "\tPG5\\_2Time & 0.5305 & 0.522 & 0.00687 & 0.00680 & 0.4024 & 0.400 & 0.3070 & 0.4326 & 0.4079 & 0.8328 & ... & 0.4576 & 0.453 & 0.4637 & 0.4529 & 0.4548 & 0.4502 & 0.4808 & 0.4633 & 0.4413 & 0.473 \\\\\n", + "\tPG5\\_3HDS & 0.6683 & 0.602 & -0.00140 & -0.00348 & 0.5056 & 0.494 & 0.3944 & 0.5420 & 0.5209 & 0.7069 & ... & 0.5557 & 0.594 & 0.5821 & 0.6015 & 0.5809 & 0.5824 & 0.6211 & 0.5894 & 0.5785 & 0.615 \\\\\n", + "\tPG5\\_3Order & 0.6659 & 0.594 & -0.00207 & -0.00814 & 0.5077 & 0.488 & 0.4139 & 0.5561 & 0.5071 & 0.7466 & ... & 0.5663 & 0.588 & 0.5778 & 0.5909 & 0.5794 & 0.5760 & 0.6200 & 0.5777 & 0.5611 & 0.607 \\\\\n", + "\tPG5\\_3Time & 0.6687 & 0.727 & 0.00653 & -0.00870 & 0.5025 & 0.492 & 0.4017 & 0.5444 & 0.4969 & 0.6566 & ... & 0.5640 & 0.593 & 0.5924 & 0.5926 & 0.5705 & 0.5743 & 0.6051 & 0.5799 & 0.5772 & 0.613 \\\\\n", + "\tPG5\\_4VGP & 0.5905 & 0.510 & 0.00088 & -0.00099 & 0.4401 & 0.451 & 0.3470 & 0.4852 & 0.4581 & 0.7797 & ... & 0.5078 & 0.510 & 0.5119 & 0.5007 & 0.5044 & 0.4973 & 0.5311 & 0.5150 & 0.4802 & 0.517 \\\\\n", + "\tPG5\\_4Order & 0.5915 & 0.521 & -0.00245 & -0.00085 & 0.4462 & 0.454 & 0.3666 & 0.4987 & 0.4552 & 0.7957 & ... & 0.5009 & 0.511 & 0.5124 & 0.5054 & 0.5112 & 0.5019 & 0.5261 & 0.5071 & 0.4793 & 0.511 \\\\\n", + "\tPG5\\_4Time & 0.5890 & 0.607 & 0.01836 & 0.01406 & 0.4374 & 0.464 & 0.3594 & 0.4928 & 0.4586 & 0.7344 & ... & 0.5090 & 0.511 & 0.5185 & 0.5084 & 0.5126 & 0.5089 & 0.5242 & 0.5139 & 0.4787 & 0.518 \\\\\n", + "\tPG5\\_5PHR & 0.6762 & 0.588 & 0.00662 & 0.00579 & 0.5284 & 0.525 & 0.4106 & 0.5690 & 0.5131 & 0.6925 & ... & 0.6099 & 0.612 & 0.5900 & 0.5986 & 0.5613 & 0.5722 & 0.6245 & 0.5864 & 0.5598 & 0.597 \\\\\n", + "\tPG5\\_5Order & 0.6760 & 0.585 & 0.00980 & 0.01466 & 0.5160 & 0.524 & 0.4167 & 0.5696 & 0.5051 & 0.7464 & ... & 0.5958 & 0.597 & 0.5921 & 0.5779 & 0.5584 & 0.5643 & 0.6191 & 0.5799 & 0.5731 & 0.599 \\\\\n", + "\tPG5\\_5Time & 0.6740 & 0.721 & 0.03829 & 0.03404 & 0.5032 & 0.530 & 0.4265 & 0.5745 & 0.4891 & 0.6412 & ... & 0.5909 & 0.597 & 0.5999 & 0.5818 & 0.5416 & 0.5561 & 0.6117 & 0.5761 & 0.5707 & 0.609 \\\\\n", + "\tPG5\\_6SSYOP & 0.5948 & 0.522 & 0.00642 & 0.01283 & 0.4455 & 0.465 & 0.3479 & 0.4872 & 0.4686 & 0.7809 & ... & 0.5267 & 0.514 & 0.5176 & 0.5183 & 0.5131 & 0.5078 & 0.5297 & 0.5159 & 0.4957 & 0.521 \\\\\n", + "\tPG5\\_6Order & 0.5940 & 0.525 & 0.00242 & 0.00979 & 0.4424 & 0.461 & 0.3368 & 0.4791 & 0.4763 & 0.7919 & ... & 0.5200 & 0.515 & 0.5060 & 0.5149 & 0.5221 & 0.5166 & 0.5257 & 0.5170 & 0.4994 & 0.527 \\\\\n", + "\tPG5\\_6Time & 0.5932 & 0.620 & 0.02438 & 0.02523 & 0.4421 & 0.461 & 0.3333 & 0.4778 & 0.4719 & 0.7304 & ... & 0.5256 & 0.511 & 0.5219 & 0.5200 & 0.5184 & 0.5190 & 0.5210 & 0.5184 & 0.5007 & 0.529 \\\\\n", + "\tPG5\\_7NDYP & 0.5236 & 0.443 & 0.00459 & 0.00386 & 0.4132 & 0.396 & 0.3146 & 0.4358 & 0.3919 & 0.8322 & ... & 0.4619 & 0.447 & 0.4515 & 0.4419 & 0.4268 & 0.4305 & 0.4682 & 0.4468 & 0.4164 & 0.456 \\\\\n", + "\tPG5\\_7Order & 0.5221 & 0.447 & 0.00261 & 0.00232 & 0.4066 & 0.394 & 0.3107 & 0.4332 & 0.3940 & 0.8261 & ... & 0.4545 & 0.441 & 0.4464 & 0.4441 & 0.4421 & 0.4395 & 0.4717 & 0.4470 & 0.4107 & 0.448 \\\\\n", + "\tPG5\\_7Time & 0.5213 & 0.519 & 0.01437 & 0.01468 & 0.4058 & 0.394 & 0.3044 & 0.4293 & 0.3876 & 0.8121 & ... & 0.4637 & 0.447 & 0.4596 & 0.4436 & 0.4331 & 0.4397 & 0.4635 & 0.4487 & 0.4171 & 0.459 \\\\\n", + "\t... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ... & & ... & ... & ... & ... & ... & ... & ... & ... & ... & ...\\\\\n", + "\tPG5\\_9FRP & 0.69 & 0.61 & 0.0076 & 0.01624 & 0.52 & 0.52 & 0.38 & 0.56 & 0.52 & 0.69 & ... & 0.60 & 0.60 & 0.61 & 0.60 & 0.60 & 0.59 & 0.64 & 0.60 & 0.57 & 0.61 \\\\\n", + "\tPG5\\_9Order & 0.69 & 0.61 & -0.0052 & -0.00201 & 0.51 & 0.51 & 0.41 & 0.57 & 0.52 & 0.73 & ... & 0.60 & 0.59 & 0.61 & 0.59 & 0.59 & 0.58 & 0.63 & 0.60 & 0.57 & 0.60 \\\\\n", + "\tPG5\\_9Time & 0.69 & 0.74 & 0.0358 & 0.03373 & 0.49 & 0.53 & 0.41 & 0.57 & 0.51 & 0.63 & ... & 0.60 & 0.61 & 0.61 & 0.59 & 0.59 & 0.60 & 0.62 & 0.60 & 0.58 & 0.62 \\\\\n", + "\tPG5\\_10RPA & 0.65 & 0.59 & -0.0010 & -0.00692 & 0.49 & 0.50 & 0.40 & 0.54 & 0.49 & 0.70 & ... & 0.58 & 0.58 & 0.58 & 0.56 & 0.56 & 0.55 & 0.59 & 0.57 & 0.56 & 0.58 \\\\\n", + "\tPG5\\_10Order & 0.65 & 0.58 & 0.0015 & -0.00048 & 0.48 & 0.51 & 0.42 & 0.56 & 0.49 & 0.75 & ... & 0.57 & 0.58 & 0.57 & 0.56 & 0.56 & 0.55 & 0.59 & 0.56 & 0.55 & 0.57 \\\\\n", + "\tPG5\\_10Time & 0.65 & 0.70 & 0.0128 & -0.00336 & 0.47 & 0.51 & 0.43 & 0.56 & 0.48 & 0.64 & ... & 0.57 & 0.58 & 0.58 & 0.56 & 0.54 & 0.54 & 0.58 & 0.56 & 0.56 & 0.58 \\\\\n", + "\tPG5\\_11NSG & 0.56 & 0.49 & -0.0145 & -0.00783 & 0.43 & 0.43 & 0.34 & 0.46 & 0.43 & 0.82 & ... & 0.48 & 0.49 & 0.49 & 0.48 & 0.48 & 0.48 & 0.49 & 0.48 & 0.47 & 0.49 \\\\\n", + "\tPG5\\_11Order & 0.56 & 0.48 & -0.0158 & -0.00657 & 0.42 & 0.42 & 0.32 & 0.45 & 0.44 & 0.81 & ... & 0.48 & 0.48 & 0.48 & 0.48 & 0.50 & 0.49 & 0.50 & 0.49 & 0.46 & 0.49 \\\\\n", + "\tPG5\\_11Time & 0.56 & 0.56 & -0.0044 & -0.00080 & 0.42 & 0.42 & 0.32 & 0.45 & 0.43 & 0.78 & ... & 0.48 & 0.48 & 0.49 & 0.47 & 0.49 & 0.49 & 0.49 & 0.49 & 0.46 & 0.50 \\\\\n", + "\tPG5\\_12NWG & 0.55 & 0.47 & -0.0060 & 0.00142 & 0.41 & 0.41 & 0.33 & 0.45 & 0.41 & 0.83 & ... & 0.47 & 0.47 & 0.47 & 0.47 & 0.47 & 0.47 & 0.49 & 0.47 & 0.45 & 0.48 \\\\\n", + "\tPG5\\_12Order & 0.54 & 0.46 & -0.0105 & -0.00222 & 0.42 & 0.41 & 0.31 & 0.44 & 0.42 & 0.83 & ... & 0.46 & 0.47 & 0.47 & 0.47 & 0.48 & 0.47 & 0.49 & 0.47 & 0.45 & 0.48 \\\\\n", + "\tPG5\\_12Time & 0.54 & 0.54 & 0.0074 & 0.01123 & 0.41 & 0.41 & 0.31 & 0.44 & 0.41 & 0.81 & ... & 0.47 & 0.47 & 0.48 & 0.46 & 0.47 & 0.47 & 0.48 & 0.47 & 0.44 & 0.48 \\\\\n", + "\tPG5\\_13NFG & 0.54 & 0.46 & -0.0148 & -0.01006 & 0.40 & 0.41 & 0.34 & 0.45 & 0.42 & 0.84 & ... & 0.47 & 0.47 & 0.46 & 0.45 & 0.46 & 0.45 & 0.49 & 0.47 & 0.45 & 0.48 \\\\\n", + "\tPG5\\_13Order & 0.54 & 0.46 & -0.0072 & 0.00100 & 0.40 & 0.40 & 0.32 & 0.44 & 0.41 & 0.83 & ... & 0.46 & 0.47 & 0.46 & 0.45 & 0.47 & 0.46 & 0.48 & 0.47 & 0.44 & 0.47 \\\\\n", + "\tPG5\\_13Time & 0.54 & 0.53 & 0.0019 & 0.00513 & 0.39 & 0.41 & 0.32 & 0.44 & 0.41 & 0.82 & ... & 0.46 & 0.46 & 0.47 & 0.44 & 0.46 & 0.46 & 0.48 & 0.47 & 0.45 & 0.48 \\\\\n", + "\tPG5Submit & 0.87 & 0.78 & -0.0059 & 0.01061 & 0.66 & 0.72 & 0.46 & 0.68 & 0.73 & 0.66 & ... & 0.77 & 0.82 & 0.74 & 0.84 & 0.80 & 0.82 & 0.79 & 0.82 & 0.76 & 0.82 \\\\\n", + "\tPG6Resp & 0.88 & 0.78 & 0.0211 & 0.02630 & 0.65 & 0.67 & 0.44 & 0.66 & 0.68 & 0.51 & ... & 0.78 & 0.80 & 0.73 & 0.78 & 0.78 & 0.79 & 0.79 & 0.77 & 0.74 & 0.79 \\\\\n", + "\tPG6Submit & 0.87 & 0.77 & -0.0014 & 0.02439 & 0.67 & 0.72 & 0.47 & 0.68 & 0.74 & 0.51 & ... & 0.77 & 0.81 & 0.76 & 0.87 & 0.81 & 0.85 & 0.80 & 0.83 & 0.77 & 0.83 \\\\\n", + "\tPG7R & 0.87 & 0.77 & -0.0123 & 0.00710 & 0.65 & 0.65 & 0.48 & 0.69 & 0.66 & 0.52 & ... & 0.75 & 0.76 & 0.76 & 0.76 & 0.77 & 0.76 & 0.80 & 0.76 & 0.74 & 0.77 \\\\\n", + "\tPG7Submit & 0.87 & 0.79 & -0.0023 & 0.01892 & 0.66 & 0.69 & 0.43 & 0.66 & 0.73 & 0.51 & ... & 0.78 & 0.81 & 0.78 & 0.83 & 0.82 & 0.84 & 0.82 & 0.84 & 0.77 & 0.83 \\\\\n", + "\tPG8Resp & 0.86 & 0.77 & -0.0139 & 0.00357 & 0.64 & 0.65 & 0.42 & 0.64 & 0.67 & 0.49 & ... & 1.00 & 0.87 & 0.74 & 0.77 & 0.77 & 0.77 & 0.80 & 0.79 & 0.74 & 0.78 \\\\\n", + "\tPG8Submit & 0.88 & 0.78 & 0.0139 & 0.03195 & 0.65 & 0.70 & 0.41 & 0.64 & 0.71 & 0.50 & ... & 0.87 & 1.00 & 0.73 & 0.83 & 0.80 & 0.82 & 0.81 & 0.82 & 0.76 & 0.82 \\\\\n", + "\tPG9Resp & 0.86 & 0.77 & -0.0022 & 0.02070 & 0.66 & 0.64 & 0.48 & 0.68 & 0.63 & 0.49 & ... & 0.74 & 0.73 & 1.00 & 0.76 & 0.74 & 0.74 & 0.81 & 0.76 & 0.77 & 0.77 \\\\\n", + "\tPG9Submit & 0.87 & 0.78 & 0.0038 & 0.02154 & 0.66 & 0.72 & 0.45 & 0.67 & 0.74 & 0.51 & ... & 0.77 & 0.83 & 0.76 & 1.00 & 0.81 & 0.84 & 0.79 & 0.83 & 0.74 & 0.83 \\\\\n", + "\tPG10Resp & 0.88 & 0.77 & -0.0023 & 0.00782 & 0.66 & 0.68 & 0.43 & 0.66 & 0.73 & 0.49 & ... & 0.77 & 0.80 & 0.74 & 0.81 & 1.00 & 0.94 & 0.81 & 0.82 & 0.73 & 0.81 \\\\\n", + "\tPG10Submit & 0.87 & 0.78 & -0.0159 & -0.00141 & 0.65 & 0.69 & 0.42 & 0.65 & 0.75 & 0.49 & ... & 0.77 & 0.82 & 0.74 & 0.84 & 0.94 & 1.00 & 0.81 & 0.85 & 0.75 & 0.84 \\\\\n", + "\tPG11Resp & 0.91 & 0.79 & -0.0152 & 0.00818 & 0.69 & 0.69 & 0.48 & 0.69 & 0.69 & 0.51 & ... & 0.80 & 0.81 & 0.81 & 0.79 & 0.81 & 0.81 & 1.00 & 0.85 & 0.80 & 0.82 \\\\\n", + "\tPG11Submit & 0.89 & 0.80 & -0.0142 & -0.00265 & 0.67 & 0.69 & 0.43 & 0.65 & 0.72 & 0.50 & ... & 0.79 & 0.82 & 0.76 & 0.83 & 0.82 & 0.85 & 0.85 & 1.00 & 0.78 & 0.84 \\\\\n", + "\tPG12Resp & 0.85 & 0.76 & -0.0183 & -0.00509 & 0.65 & 0.64 & 0.45 & 0.65 & 0.64 & 0.47 & ... & 0.74 & 0.76 & 0.77 & 0.74 & 0.73 & 0.75 & 0.80 & 0.78 & 1.00 & 0.80 \\\\\n", + "\tPG12Submit & 0.88 & 0.80 & 0.0164 & 0.03279 & 0.67 & 0.70 & 0.44 & 0.66 & 0.71 & 0.50 & ... & 0.78 & 0.82 & 0.77 & 0.83 & 0.81 & 0.84 & 0.82 & 0.84 & 0.80 & 1.00 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | Completed | End | PG0Dis | PG0Shown | PG2Resp.1 | PG3Submit | PG4Prm9_10 | PG4AllResp | PG4Submit | PG5_1RRPQ | ... | PG8Resp | PG8Submit | PG9Resp | PG9Submit | PG10Resp | PG10Submit | PG11Resp | PG11Submit | PG12Resp | PG12Submit | \n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| Completed | 1.0000 | 0.880 | -0.00957 | 0.01311 | 0.7359 | 0.743 | 0.5312 | 0.7652 | 0.7466 | 0.5703 | ... | 0.8601 | 0.876 | 0.8601 | 0.8730 | 0.8783 | 0.8744 | 0.9081 | 0.8870 | 0.8518 | 0.885 | \n", + "| End | 0.8796 | 1.000 | 0.01515 | 0.01445 | 0.6558 | 0.665 | 0.4581 | 0.6643 | 0.6589 | 0.4681 | ... | 0.7650 | 0.779 | 0.7672 | 0.7767 | 0.7727 | 0.7815 | 0.7923 | 0.7983 | 0.7624 | 0.796 | \n", + "| PG0Dis | -0.0096 | 0.015 | 1.00000 | 0.89092 | 0.0078 | 0.024 | -0.0093 | -0.0013 | -0.0270 | -0.0058 | ... | -0.0139 | 0.014 | -0.0022 | 0.0038 | -0.0023 | -0.0159 | -0.0152 | -0.0142 | -0.0183 | 0.016 | \n", + "| PG0Shown | 0.0131 | 0.014 | 0.89092 | 1.00000 | 0.0259 | 0.046 | -0.0033 | 0.0108 | -0.0054 | 0.0073 | ... | 0.0036 | 0.032 | 0.0207 | 0.0215 | 0.0078 | -0.0014 | 0.0082 | -0.0027 | -0.0051 | 0.033 | \n", + "| PG2Resp.1 | 0.7359 | 0.656 | 0.00778 | 0.02585 | 1.0000 | 0.729 | 0.4421 | 0.6674 | 0.6761 | 0.4281 | ... | 0.6437 | 0.646 | 0.6600 | 0.6605 | 0.6571 | 0.6501 | 0.6915 | 0.6679 | 0.6479 | 0.668 | \n", + "| PG3Submit | 0.7431 | 0.665 | 0.02376 | 0.04597 | 0.7293 | 1.000 | 0.4383 | 0.6704 | 0.7515 | 0.4412 | ... | 0.6479 | 0.697 | 0.6384 | 0.7170 | 0.6763 | 0.6923 | 0.6882 | 0.6910 | 0.6361 | 0.696 | \n", + "| PG4Prm9_10 | 0.5312 | 0.458 | -0.00930 | -0.00333 | 0.4421 | 0.438 | 1.0000 | 0.8805 | 0.3759 | 0.3202 | ... | 0.4155 | 0.414 | 0.4802 | 0.4521 | 0.4275 | 0.4181 | 0.4785 | 0.4332 | 0.4488 | 0.444 | \n", + "| PG4AllResp | 0.7652 | 0.664 | -0.00132 | 0.01079 | 0.6674 | 0.670 | 0.8805 | 1.0000 | 0.6667 | 0.4527 | ... | 0.6354 | 0.645 | 0.6801 | 0.6722 | 0.6630 | 0.6549 | 0.6942 | 0.6545 | 0.6465 | 0.659 | \n", + "| PG4Submit | 0.7466 | 0.659 | -0.02698 | -0.00543 | 0.6761 | 0.752 | 0.3759 | 0.6667 | 1.0000 | 0.4491 | ... | 0.6742 | 0.705 | 0.6338 | 0.7399 | 0.7324 | 0.7516 | 0.6934 | 0.7248 | 0.6395 | 0.715 | \n", + "| PG5_1RRPQ | 0.5703 | 0.468 | -0.00579 | 0.00730 | 0.4281 | 0.441 | 0.3202 | 0.4527 | 0.4491 | 1.0000 | ... | 0.4874 | 0.498 | 0.4910 | 0.5072 | 0.4857 | 0.4869 | 0.5148 | 0.4964 | 0.4683 | 0.505 | \n", + "| PG5_1Order | 0.5726 | 0.477 | -0.00539 | 0.00618 | 0.4341 | 0.442 | 0.3310 | 0.4602 | 0.4481 | 0.9606 | ... | 0.4940 | 0.499 | 0.4943 | 0.5089 | 0.4938 | 0.4968 | 0.5195 | 0.5013 | 0.4682 | 0.514 | \n", + "| PG5_1Time | 0.5711 | 0.562 | 0.01075 | 0.01932 | 0.4261 | 0.441 | 0.3064 | 0.4454 | 0.4466 | 0.9383 | ... | 0.4970 | 0.502 | 0.5000 | 0.5064 | 0.4944 | 0.5065 | 0.5065 | 0.5045 | 0.4689 | 0.517 | \n", + "| PG5_2BNUI | 0.5319 | 0.444 | -0.00974 | -0.00337 | 0.4028 | 0.403 | 0.3205 | 0.4415 | 0.4027 | 0.8605 | ... | 0.4590 | 0.451 | 0.4512 | 0.4506 | 0.4503 | 0.4387 | 0.4907 | 0.4578 | 0.4401 | 0.465 | \n", + "| PG5_2Order | 0.5332 | 0.448 | -0.01260 | -0.00836 | 0.4103 | 0.398 | 0.3170 | 0.4428 | 0.4048 | 0.8438 | ... | 0.4535 | 0.449 | 0.4618 | 0.4527 | 0.4603 | 0.4520 | 0.4851 | 0.4646 | 0.4399 | 0.472 | \n", + "| PG5_2Time | 0.5305 | 0.522 | 0.00687 | 0.00680 | 0.4024 | 0.400 | 0.3070 | 0.4326 | 0.4079 | 0.8328 | ... | 0.4576 | 0.453 | 0.4637 | 0.4529 | 0.4548 | 0.4502 | 0.4808 | 0.4633 | 0.4413 | 0.473 | \n", + "| PG5_3HDS | 0.6683 | 0.602 | -0.00140 | -0.00348 | 0.5056 | 0.494 | 0.3944 | 0.5420 | 0.5209 | 0.7069 | ... | 0.5557 | 0.594 | 0.5821 | 0.6015 | 0.5809 | 0.5824 | 0.6211 | 0.5894 | 0.5785 | 0.615 | \n", + "| PG5_3Order | 0.6659 | 0.594 | -0.00207 | -0.00814 | 0.5077 | 0.488 | 0.4139 | 0.5561 | 0.5071 | 0.7466 | ... | 0.5663 | 0.588 | 0.5778 | 0.5909 | 0.5794 | 0.5760 | 0.6200 | 0.5777 | 0.5611 | 0.607 | \n", + "| PG5_3Time | 0.6687 | 0.727 | 0.00653 | -0.00870 | 0.5025 | 0.492 | 0.4017 | 0.5444 | 0.4969 | 0.6566 | ... | 0.5640 | 0.593 | 0.5924 | 0.5926 | 0.5705 | 0.5743 | 0.6051 | 0.5799 | 0.5772 | 0.613 | \n", + "| PG5_4VGP | 0.5905 | 0.510 | 0.00088 | -0.00099 | 0.4401 | 0.451 | 0.3470 | 0.4852 | 0.4581 | 0.7797 | ... | 0.5078 | 0.510 | 0.5119 | 0.5007 | 0.5044 | 0.4973 | 0.5311 | 0.5150 | 0.4802 | 0.517 | \n", + "| PG5_4Order | 0.5915 | 0.521 | -0.00245 | -0.00085 | 0.4462 | 0.454 | 0.3666 | 0.4987 | 0.4552 | 0.7957 | ... | 0.5009 | 0.511 | 0.5124 | 0.5054 | 0.5112 | 0.5019 | 0.5261 | 0.5071 | 0.4793 | 0.511 | \n", + "| PG5_4Time | 0.5890 | 0.607 | 0.01836 | 0.01406 | 0.4374 | 0.464 | 0.3594 | 0.4928 | 0.4586 | 0.7344 | ... | 0.5090 | 0.511 | 0.5185 | 0.5084 | 0.5126 | 0.5089 | 0.5242 | 0.5139 | 0.4787 | 0.518 | \n", + "| PG5_5PHR | 0.6762 | 0.588 | 0.00662 | 0.00579 | 0.5284 | 0.525 | 0.4106 | 0.5690 | 0.5131 | 0.6925 | ... | 0.6099 | 0.612 | 0.5900 | 0.5986 | 0.5613 | 0.5722 | 0.6245 | 0.5864 | 0.5598 | 0.597 | \n", + "| PG5_5Order | 0.6760 | 0.585 | 0.00980 | 0.01466 | 0.5160 | 0.524 | 0.4167 | 0.5696 | 0.5051 | 0.7464 | ... | 0.5958 | 0.597 | 0.5921 | 0.5779 | 0.5584 | 0.5643 | 0.6191 | 0.5799 | 0.5731 | 0.599 | \n", + "| PG5_5Time | 0.6740 | 0.721 | 0.03829 | 0.03404 | 0.5032 | 0.530 | 0.4265 | 0.5745 | 0.4891 | 0.6412 | ... | 0.5909 | 0.597 | 0.5999 | 0.5818 | 0.5416 | 0.5561 | 0.6117 | 0.5761 | 0.5707 | 0.609 | \n", + "| PG5_6SSYOP | 0.5948 | 0.522 | 0.00642 | 0.01283 | 0.4455 | 0.465 | 0.3479 | 0.4872 | 0.4686 | 0.7809 | ... | 0.5267 | 0.514 | 0.5176 | 0.5183 | 0.5131 | 0.5078 | 0.5297 | 0.5159 | 0.4957 | 0.521 | \n", + "| PG5_6Order | 0.5940 | 0.525 | 0.00242 | 0.00979 | 0.4424 | 0.461 | 0.3368 | 0.4791 | 0.4763 | 0.7919 | ... | 0.5200 | 0.515 | 0.5060 | 0.5149 | 0.5221 | 0.5166 | 0.5257 | 0.5170 | 0.4994 | 0.527 | \n", + "| PG5_6Time | 0.5932 | 0.620 | 0.02438 | 0.02523 | 0.4421 | 0.461 | 0.3333 | 0.4778 | 0.4719 | 0.7304 | ... | 0.5256 | 0.511 | 0.5219 | 0.5200 | 0.5184 | 0.5190 | 0.5210 | 0.5184 | 0.5007 | 0.529 | \n", + "| PG5_7NDYP | 0.5236 | 0.443 | 0.00459 | 0.00386 | 0.4132 | 0.396 | 0.3146 | 0.4358 | 0.3919 | 0.8322 | ... | 0.4619 | 0.447 | 0.4515 | 0.4419 | 0.4268 | 0.4305 | 0.4682 | 0.4468 | 0.4164 | 0.456 | \n", + "| PG5_7Order | 0.5221 | 0.447 | 0.00261 | 0.00232 | 0.4066 | 0.394 | 0.3107 | 0.4332 | 0.3940 | 0.8261 | ... | 0.4545 | 0.441 | 0.4464 | 0.4441 | 0.4421 | 0.4395 | 0.4717 | 0.4470 | 0.4107 | 0.448 | \n", + "| PG5_7Time | 0.5213 | 0.519 | 0.01437 | 0.01468 | 0.4058 | 0.394 | 0.3044 | 0.4293 | 0.3876 | 0.8121 | ... | 0.4637 | 0.447 | 0.4596 | 0.4436 | 0.4331 | 0.4397 | 0.4635 | 0.4487 | 0.4171 | 0.459 | \n", + "| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | \n", + "| PG5_9FRP | 0.69 | 0.61 | 0.0076 | 0.01624 | 0.52 | 0.52 | 0.38 | 0.56 | 0.52 | 0.69 | ... | 0.60 | 0.60 | 0.61 | 0.60 | 0.60 | 0.59 | 0.64 | 0.60 | 0.57 | 0.61 | \n", + "| PG5_9Order | 0.69 | 0.61 | -0.0052 | -0.00201 | 0.51 | 0.51 | 0.41 | 0.57 | 0.52 | 0.73 | ... | 0.60 | 0.59 | 0.61 | 0.59 | 0.59 | 0.58 | 0.63 | 0.60 | 0.57 | 0.60 | \n", + "| PG5_9Time | 0.69 | 0.74 | 0.0358 | 0.03373 | 0.49 | 0.53 | 0.41 | 0.57 | 0.51 | 0.63 | ... | 0.60 | 0.61 | 0.61 | 0.59 | 0.59 | 0.60 | 0.62 | 0.60 | 0.58 | 0.62 | \n", + "| PG5_10RPA | 0.65 | 0.59 | -0.0010 | -0.00692 | 0.49 | 0.50 | 0.40 | 0.54 | 0.49 | 0.70 | ... | 0.58 | 0.58 | 0.58 | 0.56 | 0.56 | 0.55 | 0.59 | 0.57 | 0.56 | 0.58 | \n", + "| PG5_10Order | 0.65 | 0.58 | 0.0015 | -0.00048 | 0.48 | 0.51 | 0.42 | 0.56 | 0.49 | 0.75 | ... | 0.57 | 0.58 | 0.57 | 0.56 | 0.56 | 0.55 | 0.59 | 0.56 | 0.55 | 0.57 | \n", + "| PG5_10Time | 0.65 | 0.70 | 0.0128 | -0.00336 | 0.47 | 0.51 | 0.43 | 0.56 | 0.48 | 0.64 | ... | 0.57 | 0.58 | 0.58 | 0.56 | 0.54 | 0.54 | 0.58 | 0.56 | 0.56 | 0.58 | \n", + "| PG5_11NSG | 0.56 | 0.49 | -0.0145 | -0.00783 | 0.43 | 0.43 | 0.34 | 0.46 | 0.43 | 0.82 | ... | 0.48 | 0.49 | 0.49 | 0.48 | 0.48 | 0.48 | 0.49 | 0.48 | 0.47 | 0.49 | \n", + "| PG5_11Order | 0.56 | 0.48 | -0.0158 | -0.00657 | 0.42 | 0.42 | 0.32 | 0.45 | 0.44 | 0.81 | ... | 0.48 | 0.48 | 0.48 | 0.48 | 0.50 | 0.49 | 0.50 | 0.49 | 0.46 | 0.49 | \n", + "| PG5_11Time | 0.56 | 0.56 | -0.0044 | -0.00080 | 0.42 | 0.42 | 0.32 | 0.45 | 0.43 | 0.78 | ... | 0.48 | 0.48 | 0.49 | 0.47 | 0.49 | 0.49 | 0.49 | 0.49 | 0.46 | 0.50 | \n", + "| PG5_12NWG | 0.55 | 0.47 | -0.0060 | 0.00142 | 0.41 | 0.41 | 0.33 | 0.45 | 0.41 | 0.83 | ... | 0.47 | 0.47 | 0.47 | 0.47 | 0.47 | 0.47 | 0.49 | 0.47 | 0.45 | 0.48 | \n", + "| PG5_12Order | 0.54 | 0.46 | -0.0105 | -0.00222 | 0.42 | 0.41 | 0.31 | 0.44 | 0.42 | 0.83 | ... | 0.46 | 0.47 | 0.47 | 0.47 | 0.48 | 0.47 | 0.49 | 0.47 | 0.45 | 0.48 | \n", + "| PG5_12Time | 0.54 | 0.54 | 0.0074 | 0.01123 | 0.41 | 0.41 | 0.31 | 0.44 | 0.41 | 0.81 | ... | 0.47 | 0.47 | 0.48 | 0.46 | 0.47 | 0.47 | 0.48 | 0.47 | 0.44 | 0.48 | \n", + "| PG5_13NFG | 0.54 | 0.46 | -0.0148 | -0.01006 | 0.40 | 0.41 | 0.34 | 0.45 | 0.42 | 0.84 | ... | 0.47 | 0.47 | 0.46 | 0.45 | 0.46 | 0.45 | 0.49 | 0.47 | 0.45 | 0.48 | \n", + "| PG5_13Order | 0.54 | 0.46 | -0.0072 | 0.00100 | 0.40 | 0.40 | 0.32 | 0.44 | 0.41 | 0.83 | ... | 0.46 | 0.47 | 0.46 | 0.45 | 0.47 | 0.46 | 0.48 | 0.47 | 0.44 | 0.47 | \n", + "| PG5_13Time | 0.54 | 0.53 | 0.0019 | 0.00513 | 0.39 | 0.41 | 0.32 | 0.44 | 0.41 | 0.82 | ... | 0.46 | 0.46 | 0.47 | 0.44 | 0.46 | 0.46 | 0.48 | 0.47 | 0.45 | 0.48 | \n", + "| PG5Submit | 0.87 | 0.78 | -0.0059 | 0.01061 | 0.66 | 0.72 | 0.46 | 0.68 | 0.73 | 0.66 | ... | 0.77 | 0.82 | 0.74 | 0.84 | 0.80 | 0.82 | 0.79 | 0.82 | 0.76 | 0.82 | \n", + "| PG6Resp | 0.88 | 0.78 | 0.0211 | 0.02630 | 0.65 | 0.67 | 0.44 | 0.66 | 0.68 | 0.51 | ... | 0.78 | 0.80 | 0.73 | 0.78 | 0.78 | 0.79 | 0.79 | 0.77 | 0.74 | 0.79 | \n", + "| PG6Submit | 0.87 | 0.77 | -0.0014 | 0.02439 | 0.67 | 0.72 | 0.47 | 0.68 | 0.74 | 0.51 | ... | 0.77 | 0.81 | 0.76 | 0.87 | 0.81 | 0.85 | 0.80 | 0.83 | 0.77 | 0.83 | \n", + "| PG7R | 0.87 | 0.77 | -0.0123 | 0.00710 | 0.65 | 0.65 | 0.48 | 0.69 | 0.66 | 0.52 | ... | 0.75 | 0.76 | 0.76 | 0.76 | 0.77 | 0.76 | 0.80 | 0.76 | 0.74 | 0.77 | \n", + "| PG7Submit | 0.87 | 0.79 | -0.0023 | 0.01892 | 0.66 | 0.69 | 0.43 | 0.66 | 0.73 | 0.51 | ... | 0.78 | 0.81 | 0.78 | 0.83 | 0.82 | 0.84 | 0.82 | 0.84 | 0.77 | 0.83 | \n", + "| PG8Resp | 0.86 | 0.77 | -0.0139 | 0.00357 | 0.64 | 0.65 | 0.42 | 0.64 | 0.67 | 0.49 | ... | 1.00 | 0.87 | 0.74 | 0.77 | 0.77 | 0.77 | 0.80 | 0.79 | 0.74 | 0.78 | \n", + "| PG8Submit | 0.88 | 0.78 | 0.0139 | 0.03195 | 0.65 | 0.70 | 0.41 | 0.64 | 0.71 | 0.50 | ... | 0.87 | 1.00 | 0.73 | 0.83 | 0.80 | 0.82 | 0.81 | 0.82 | 0.76 | 0.82 | \n", + "| PG9Resp | 0.86 | 0.77 | -0.0022 | 0.02070 | 0.66 | 0.64 | 0.48 | 0.68 | 0.63 | 0.49 | ... | 0.74 | 0.73 | 1.00 | 0.76 | 0.74 | 0.74 | 0.81 | 0.76 | 0.77 | 0.77 | \n", + "| PG9Submit | 0.87 | 0.78 | 0.0038 | 0.02154 | 0.66 | 0.72 | 0.45 | 0.67 | 0.74 | 0.51 | ... | 0.77 | 0.83 | 0.76 | 1.00 | 0.81 | 0.84 | 0.79 | 0.83 | 0.74 | 0.83 | \n", + "| PG10Resp | 0.88 | 0.77 | -0.0023 | 0.00782 | 0.66 | 0.68 | 0.43 | 0.66 | 0.73 | 0.49 | ... | 0.77 | 0.80 | 0.74 | 0.81 | 1.00 | 0.94 | 0.81 | 0.82 | 0.73 | 0.81 | \n", + "| PG10Submit | 0.87 | 0.78 | -0.0159 | -0.00141 | 0.65 | 0.69 | 0.42 | 0.65 | 0.75 | 0.49 | ... | 0.77 | 0.82 | 0.74 | 0.84 | 0.94 | 1.00 | 0.81 | 0.85 | 0.75 | 0.84 | \n", + "| PG11Resp | 0.91 | 0.79 | -0.0152 | 0.00818 | 0.69 | 0.69 | 0.48 | 0.69 | 0.69 | 0.51 | ... | 0.80 | 0.81 | 0.81 | 0.79 | 0.81 | 0.81 | 1.00 | 0.85 | 0.80 | 0.82 | \n", + "| PG11Submit | 0.89 | 0.80 | -0.0142 | -0.00265 | 0.67 | 0.69 | 0.43 | 0.65 | 0.72 | 0.50 | ... | 0.79 | 0.82 | 0.76 | 0.83 | 0.82 | 0.85 | 0.85 | 1.00 | 0.78 | 0.84 | \n", + "| PG12Resp | 0.85 | 0.76 | -0.0183 | -0.00509 | 0.65 | 0.64 | 0.45 | 0.65 | 0.64 | 0.47 | ... | 0.74 | 0.76 | 0.77 | 0.74 | 0.73 | 0.75 | 0.80 | 0.78 | 1.00 | 0.80 | \n", + "| PG12Submit | 0.88 | 0.80 | 0.0164 | 0.03279 | 0.67 | 0.70 | 0.44 | 0.66 | 0.71 | 0.50 | ... | 0.78 | 0.82 | 0.77 | 0.83 | 0.81 | 0.84 | 0.82 | 0.84 | 0.80 | 1.00 | \n", + "\n", + "\n" + ], + "text/plain": [ + " Completed End PG0Dis PG0Shown PG2Resp.1 PG3Submit PG4Prm9_10\n", + "Completed 1.0000 0.880 -0.00957 0.01311 0.7359 0.743 0.5312 \n", + "End 0.8796 1.000 0.01515 0.01445 0.6558 0.665 0.4581 \n", + "PG0Dis -0.0096 0.015 1.00000 0.89092 0.0078 0.024 -0.0093 \n", + "PG0Shown 0.0131 0.014 0.89092 1.00000 0.0259 0.046 -0.0033 \n", + "PG2Resp.1 0.7359 0.656 0.00778 0.02585 1.0000 0.729 0.4421 \n", + "PG3Submit 0.7431 0.665 0.02376 0.04597 0.7293 1.000 0.4383 \n", + "PG4Prm9_10 0.5312 0.458 -0.00930 -0.00333 0.4421 0.438 1.0000 \n", + "PG4AllResp 0.7652 0.664 -0.00132 0.01079 0.6674 0.670 0.8805 \n", + "PG4Submit 0.7466 0.659 -0.02698 -0.00543 0.6761 0.752 0.3759 \n", + "PG5_1RRPQ 0.5703 0.468 -0.00579 0.00730 0.4281 0.441 0.3202 \n", + "PG5_1Order 0.5726 0.477 -0.00539 0.00618 0.4341 0.442 0.3310 \n", + "PG5_1Time 0.5711 0.562 0.01075 0.01932 0.4261 0.441 0.3064 \n", + "PG5_2BNUI 0.5319 0.444 -0.00974 -0.00337 0.4028 0.403 0.3205 \n", + "PG5_2Order 0.5332 0.448 -0.01260 -0.00836 0.4103 0.398 0.3170 \n", + "PG5_2Time 0.5305 0.522 0.00687 0.00680 0.4024 0.400 0.3070 \n", + "PG5_3HDS 0.6683 0.602 -0.00140 -0.00348 0.5056 0.494 0.3944 \n", + "PG5_3Order 0.6659 0.594 -0.00207 -0.00814 0.5077 0.488 0.4139 \n", + "PG5_3Time 0.6687 0.727 0.00653 -0.00870 0.5025 0.492 0.4017 \n", + "PG5_4VGP 0.5905 0.510 0.00088 -0.00099 0.4401 0.451 0.3470 \n", + "PG5_4Order 0.5915 0.521 -0.00245 -0.00085 0.4462 0.454 0.3666 \n", + "PG5_4Time 0.5890 0.607 0.01836 0.01406 0.4374 0.464 0.3594 \n", + "PG5_5PHR 0.6762 0.588 0.00662 0.00579 0.5284 0.525 0.4106 \n", + "PG5_5Order 0.6760 0.585 0.00980 0.01466 0.5160 0.524 0.4167 \n", + "PG5_5Time 0.6740 0.721 0.03829 0.03404 0.5032 0.530 0.4265 \n", + "PG5_6SSYOP 0.5948 0.522 0.00642 0.01283 0.4455 0.465 0.3479 \n", + "PG5_6Order 0.5940 0.525 0.00242 0.00979 0.4424 0.461 0.3368 \n", + "PG5_6Time 0.5932 0.620 0.02438 0.02523 0.4421 0.461 0.3333 \n", + "PG5_7NDYP 0.5236 0.443 0.00459 0.00386 0.4132 0.396 0.3146 \n", + "PG5_7Order 0.5221 0.447 0.00261 0.00232 0.4066 0.394 0.3107 \n", + "PG5_7Time 0.5213 0.519 0.01437 0.01468 0.4058 0.394 0.3044 \n", + "... ... ... ... ... ... ... ... \n", + "PG5_9FRP 0.69 0.61 0.0076 0.01624 0.52 0.52 0.38 \n", + "PG5_9Order 0.69 0.61 -0.0052 -0.00201 0.51 0.51 0.41 \n", + "PG5_9Time 0.69 0.74 0.0358 0.03373 0.49 0.53 0.41 \n", + "PG5_10RPA 0.65 0.59 -0.0010 -0.00692 0.49 0.50 0.40 \n", + "PG5_10Order 0.65 0.58 0.0015 -0.00048 0.48 0.51 0.42 \n", + "PG5_10Time 0.65 0.70 0.0128 -0.00336 0.47 0.51 0.43 \n", + "PG5_11NSG 0.56 0.49 -0.0145 -0.00783 0.43 0.43 0.34 \n", + "PG5_11Order 0.56 0.48 -0.0158 -0.00657 0.42 0.42 0.32 \n", + "PG5_11Time 0.56 0.56 -0.0044 -0.00080 0.42 0.42 0.32 \n", + "PG5_12NWG 0.55 0.47 -0.0060 0.00142 0.41 0.41 0.33 \n", + "PG5_12Order 0.54 0.46 -0.0105 -0.00222 0.42 0.41 0.31 \n", + "PG5_12Time 0.54 0.54 0.0074 0.01123 0.41 0.41 0.31 \n", + "PG5_13NFG 0.54 0.46 -0.0148 -0.01006 0.40 0.41 0.34 \n", + "PG5_13Order 0.54 0.46 -0.0072 0.00100 0.40 0.40 0.32 \n", + "PG5_13Time 0.54 0.53 0.0019 0.00513 0.39 0.41 0.32 \n", + "PG5Submit 0.87 0.78 -0.0059 0.01061 0.66 0.72 0.46 \n", + "PG6Resp 0.88 0.78 0.0211 0.02630 0.65 0.67 0.44 \n", + "PG6Submit 0.87 0.77 -0.0014 0.02439 0.67 0.72 0.47 \n", + "PG7R 0.87 0.77 -0.0123 0.00710 0.65 0.65 0.48 \n", + "PG7Submit 0.87 0.79 -0.0023 0.01892 0.66 0.69 0.43 \n", + "PG8Resp 0.86 0.77 -0.0139 0.00357 0.64 0.65 0.42 \n", + "PG8Submit 0.88 0.78 0.0139 0.03195 0.65 0.70 0.41 \n", + "PG9Resp 0.86 0.77 -0.0022 0.02070 0.66 0.64 0.48 \n", + "PG9Submit 0.87 0.78 0.0038 0.02154 0.66 0.72 0.45 \n", + "PG10Resp 0.88 0.77 -0.0023 0.00782 0.66 0.68 0.43 \n", + "PG10Submit 0.87 0.78 -0.0159 -0.00141 0.65 0.69 0.42 \n", + "PG11Resp 0.91 0.79 -0.0152 0.00818 0.69 0.69 0.48 \n", + "PG11Submit 0.89 0.80 -0.0142 -0.00265 0.67 0.69 0.43 \n", + "PG12Resp 0.85 0.76 -0.0183 -0.00509 0.65 0.64 0.45 \n", + "PG12Submit 0.88 0.80 0.0164 0.03279 0.67 0.70 0.44 \n", + " PG4AllResp PG4Submit PG5_1RRPQ ... PG8Resp PG8Submit PG9Resp\n", + "Completed 0.7652 0.7466 0.5703 ... 0.8601 0.876 0.8601\n", + "End 0.6643 0.6589 0.4681 ... 0.7650 0.779 0.7672\n", + "PG0Dis -0.0013 -0.0270 -0.0058 ... -0.0139 0.014 -0.0022\n", + "PG0Shown 0.0108 -0.0054 0.0073 ... 0.0036 0.032 0.0207\n", + "PG2Resp.1 0.6674 0.6761 0.4281 ... 0.6437 0.646 0.6600\n", + "PG3Submit 0.6704 0.7515 0.4412 ... 0.6479 0.697 0.6384\n", + "PG4Prm9_10 0.8805 0.3759 0.3202 ... 0.4155 0.414 0.4802\n", + "PG4AllResp 1.0000 0.6667 0.4527 ... 0.6354 0.645 0.6801\n", + "PG4Submit 0.6667 1.0000 0.4491 ... 0.6742 0.705 0.6338\n", + "PG5_1RRPQ 0.4527 0.4491 1.0000 ... 0.4874 0.498 0.4910\n", + "PG5_1Order 0.4602 0.4481 0.9606 ... 0.4940 0.499 0.4943\n", + "PG5_1Time 0.4454 0.4466 0.9383 ... 0.4970 0.502 0.5000\n", + "PG5_2BNUI 0.4415 0.4027 0.8605 ... 0.4590 0.451 0.4512\n", + "PG5_2Order 0.4428 0.4048 0.8438 ... 0.4535 0.449 0.4618\n", + "PG5_2Time 0.4326 0.4079 0.8328 ... 0.4576 0.453 0.4637\n", + "PG5_3HDS 0.5420 0.5209 0.7069 ... 0.5557 0.594 0.5821\n", + "PG5_3Order 0.5561 0.5071 0.7466 ... 0.5663 0.588 0.5778\n", + "PG5_3Time 0.5444 0.4969 0.6566 ... 0.5640 0.593 0.5924\n", + "PG5_4VGP 0.4852 0.4581 0.7797 ... 0.5078 0.510 0.5119\n", + "PG5_4Order 0.4987 0.4552 0.7957 ... 0.5009 0.511 0.5124\n", + "PG5_4Time 0.4928 0.4586 0.7344 ... 0.5090 0.511 0.5185\n", + "PG5_5PHR 0.5690 0.5131 0.6925 ... 0.6099 0.612 0.5900\n", + "PG5_5Order 0.5696 0.5051 0.7464 ... 0.5958 0.597 0.5921\n", + "PG5_5Time 0.5745 0.4891 0.6412 ... 0.5909 0.597 0.5999\n", + "PG5_6SSYOP 0.4872 0.4686 0.7809 ... 0.5267 0.514 0.5176\n", + "PG5_6Order 0.4791 0.4763 0.7919 ... 0.5200 0.515 0.5060\n", + "PG5_6Time 0.4778 0.4719 0.7304 ... 0.5256 0.511 0.5219\n", + "PG5_7NDYP 0.4358 0.3919 0.8322 ... 0.4619 0.447 0.4515\n", + "PG5_7Order 0.4332 0.3940 0.8261 ... 0.4545 0.441 0.4464\n", + "PG5_7Time 0.4293 0.3876 0.8121 ... 0.4637 0.447 0.4596\n", + "... ... ... ... ... ... ... \n", + "PG5_9FRP 0.56 0.52 0.69 ... 0.60 0.60 0.61 \n", + "PG5_9Order 0.57 0.52 0.73 ... 0.60 0.59 0.61 \n", + "PG5_9Time 0.57 0.51 0.63 ... 0.60 0.61 0.61 \n", + "PG5_10RPA 0.54 0.49 0.70 ... 0.58 0.58 0.58 \n", + "PG5_10Order 0.56 0.49 0.75 ... 0.57 0.58 0.57 \n", + "PG5_10Time 0.56 0.48 0.64 ... 0.57 0.58 0.58 \n", + "PG5_11NSG 0.46 0.43 0.82 ... 0.48 0.49 0.49 \n", + "PG5_11Order 0.45 0.44 0.81 ... 0.48 0.48 0.48 \n", + "PG5_11Time 0.45 0.43 0.78 ... 0.48 0.48 0.49 \n", + "PG5_12NWG 0.45 0.41 0.83 ... 0.47 0.47 0.47 \n", + "PG5_12Order 0.44 0.42 0.83 ... 0.46 0.47 0.47 \n", + "PG5_12Time 0.44 0.41 0.81 ... 0.47 0.47 0.48 \n", + "PG5_13NFG 0.45 0.42 0.84 ... 0.47 0.47 0.46 \n", + "PG5_13Order 0.44 0.41 0.83 ... 0.46 0.47 0.46 \n", + "PG5_13Time 0.44 0.41 0.82 ... 0.46 0.46 0.47 \n", + "PG5Submit 0.68 0.73 0.66 ... 0.77 0.82 0.74 \n", + "PG6Resp 0.66 0.68 0.51 ... 0.78 0.80 0.73 \n", + "PG6Submit 0.68 0.74 0.51 ... 0.77 0.81 0.76 \n", + "PG7R 0.69 0.66 0.52 ... 0.75 0.76 0.76 \n", + "PG7Submit 0.66 0.73 0.51 ... 0.78 0.81 0.78 \n", + "PG8Resp 0.64 0.67 0.49 ... 1.00 0.87 0.74 \n", + "PG8Submit 0.64 0.71 0.50 ... 0.87 1.00 0.73 \n", + "PG9Resp 0.68 0.63 0.49 ... 0.74 0.73 1.00 \n", + "PG9Submit 0.67 0.74 0.51 ... 0.77 0.83 0.76 \n", + "PG10Resp 0.66 0.73 0.49 ... 0.77 0.80 0.74 \n", + "PG10Submit 0.65 0.75 0.49 ... 0.77 0.82 0.74 \n", + "PG11Resp 0.69 0.69 0.51 ... 0.80 0.81 0.81 \n", + "PG11Submit 0.65 0.72 0.50 ... 0.79 0.82 0.76 \n", + "PG12Resp 0.65 0.64 0.47 ... 0.74 0.76 0.77 \n", + "PG12Submit 0.66 0.71 0.50 ... 0.78 0.82 0.77 \n", + " PG9Submit PG10Resp PG10Submit PG11Resp PG11Submit PG12Resp\n", + "Completed 0.8730 0.8783 0.8744 0.9081 0.8870 0.8518 \n", + "End 0.7767 0.7727 0.7815 0.7923 0.7983 0.7624 \n", + "PG0Dis 0.0038 -0.0023 -0.0159 -0.0152 -0.0142 -0.0183 \n", + "PG0Shown 0.0215 0.0078 -0.0014 0.0082 -0.0027 -0.0051 \n", + "PG2Resp.1 0.6605 0.6571 0.6501 0.6915 0.6679 0.6479 \n", + "PG3Submit 0.7170 0.6763 0.6923 0.6882 0.6910 0.6361 \n", + "PG4Prm9_10 0.4521 0.4275 0.4181 0.4785 0.4332 0.4488 \n", + "PG4AllResp 0.6722 0.6630 0.6549 0.6942 0.6545 0.6465 \n", + "PG4Submit 0.7399 0.7324 0.7516 0.6934 0.7248 0.6395 \n", + "PG5_1RRPQ 0.5072 0.4857 0.4869 0.5148 0.4964 0.4683 \n", + "PG5_1Order 0.5089 0.4938 0.4968 0.5195 0.5013 0.4682 \n", + "PG5_1Time 0.5064 0.4944 0.5065 0.5065 0.5045 0.4689 \n", + "PG5_2BNUI 0.4506 0.4503 0.4387 0.4907 0.4578 0.4401 \n", + "PG5_2Order 0.4527 0.4603 0.4520 0.4851 0.4646 0.4399 \n", + "PG5_2Time 0.4529 0.4548 0.4502 0.4808 0.4633 0.4413 \n", + "PG5_3HDS 0.6015 0.5809 0.5824 0.6211 0.5894 0.5785 \n", + "PG5_3Order 0.5909 0.5794 0.5760 0.6200 0.5777 0.5611 \n", + "PG5_3Time 0.5926 0.5705 0.5743 0.6051 0.5799 0.5772 \n", + "PG5_4VGP 0.5007 0.5044 0.4973 0.5311 0.5150 0.4802 \n", + "PG5_4Order 0.5054 0.5112 0.5019 0.5261 0.5071 0.4793 \n", + "PG5_4Time 0.5084 0.5126 0.5089 0.5242 0.5139 0.4787 \n", + "PG5_5PHR 0.5986 0.5613 0.5722 0.6245 0.5864 0.5598 \n", + "PG5_5Order 0.5779 0.5584 0.5643 0.6191 0.5799 0.5731 \n", + "PG5_5Time 0.5818 0.5416 0.5561 0.6117 0.5761 0.5707 \n", + "PG5_6SSYOP 0.5183 0.5131 0.5078 0.5297 0.5159 0.4957 \n", + "PG5_6Order 0.5149 0.5221 0.5166 0.5257 0.5170 0.4994 \n", + "PG5_6Time 0.5200 0.5184 0.5190 0.5210 0.5184 0.5007 \n", + "PG5_7NDYP 0.4419 0.4268 0.4305 0.4682 0.4468 0.4164 \n", + "PG5_7Order 0.4441 0.4421 0.4395 0.4717 0.4470 0.4107 \n", + "PG5_7Time 0.4436 0.4331 0.4397 0.4635 0.4487 0.4171 \n", + "... ... ... ... ... ... ... \n", + "PG5_9FRP 0.60 0.60 0.59 0.64 0.60 0.57 \n", + "PG5_9Order 0.59 0.59 0.58 0.63 0.60 0.57 \n", + "PG5_9Time 0.59 0.59 0.60 0.62 0.60 0.58 \n", + "PG5_10RPA 0.56 0.56 0.55 0.59 0.57 0.56 \n", + "PG5_10Order 0.56 0.56 0.55 0.59 0.56 0.55 \n", + "PG5_10Time 0.56 0.54 0.54 0.58 0.56 0.56 \n", + "PG5_11NSG 0.48 0.48 0.48 0.49 0.48 0.47 \n", + "PG5_11Order 0.48 0.50 0.49 0.50 0.49 0.46 \n", + "PG5_11Time 0.47 0.49 0.49 0.49 0.49 0.46 \n", + "PG5_12NWG 0.47 0.47 0.47 0.49 0.47 0.45 \n", + "PG5_12Order 0.47 0.48 0.47 0.49 0.47 0.45 \n", + "PG5_12Time 0.46 0.47 0.47 0.48 0.47 0.44 \n", + "PG5_13NFG 0.45 0.46 0.45 0.49 0.47 0.45 \n", + "PG5_13Order 0.45 0.47 0.46 0.48 0.47 0.44 \n", + "PG5_13Time 0.44 0.46 0.46 0.48 0.47 0.45 \n", + "PG5Submit 0.84 0.80 0.82 0.79 0.82 0.76 \n", + "PG6Resp 0.78 0.78 0.79 0.79 0.77 0.74 \n", + "PG6Submit 0.87 0.81 0.85 0.80 0.83 0.77 \n", + "PG7R 0.76 0.77 0.76 0.80 0.76 0.74 \n", + "PG7Submit 0.83 0.82 0.84 0.82 0.84 0.77 \n", + "PG8Resp 0.77 0.77 0.77 0.80 0.79 0.74 \n", + "PG8Submit 0.83 0.80 0.82 0.81 0.82 0.76 \n", + "PG9Resp 0.76 0.74 0.74 0.81 0.76 0.77 \n", + "PG9Submit 1.00 0.81 0.84 0.79 0.83 0.74 \n", + "PG10Resp 0.81 1.00 0.94 0.81 0.82 0.73 \n", + "PG10Submit 0.84 0.94 1.00 0.81 0.85 0.75 \n", + "PG11Resp 0.79 0.81 0.81 1.00 0.85 0.80 \n", + "PG11Submit 0.83 0.82 0.85 0.85 1.00 0.78 \n", + "PG12Resp 0.74 0.73 0.75 0.80 0.78 1.00 \n", + "PG12Submit 0.83 0.81 0.84 0.82 0.84 0.80 \n", + " PG12Submit\n", + "Completed 0.885 \n", + "End 0.796 \n", + "PG0Dis 0.016 \n", + "PG0Shown 0.033 \n", + "PG2Resp.1 0.668 \n", + "PG3Submit 0.696 \n", + "PG4Prm9_10 0.444 \n", + "PG4AllResp 0.659 \n", + "PG4Submit 0.715 \n", + "PG5_1RRPQ 0.505 \n", + "PG5_1Order 0.514 \n", + "PG5_1Time 0.517 \n", + "PG5_2BNUI 0.465 \n", + "PG5_2Order 0.472 \n", + "PG5_2Time 0.473 \n", + "PG5_3HDS 0.615 \n", + "PG5_3Order 0.607 \n", + "PG5_3Time 0.613 \n", + "PG5_4VGP 0.517 \n", + "PG5_4Order 0.511 \n", + "PG5_4Time 0.518 \n", + "PG5_5PHR 0.597 \n", + "PG5_5Order 0.599 \n", + "PG5_5Time 0.609 \n", + "PG5_6SSYOP 0.521 \n", + "PG5_6Order 0.527 \n", + "PG5_6Time 0.529 \n", + "PG5_7NDYP 0.456 \n", + "PG5_7Order 0.448 \n", + "PG5_7Time 0.459 \n", + "... ... \n", + "PG5_9FRP 0.61 \n", + "PG5_9Order 0.60 \n", + "PG5_9Time 0.62 \n", + "PG5_10RPA 0.58 \n", + "PG5_10Order 0.57 \n", + "PG5_10Time 0.58 \n", + "PG5_11NSG 0.49 \n", + "PG5_11Order 0.49 \n", + "PG5_11Time 0.50 \n", + "PG5_12NWG 0.48 \n", + "PG5_12Order 0.48 \n", + "PG5_12Time 0.48 \n", + "PG5_13NFG 0.48 \n", + "PG5_13Order 0.47 \n", + "PG5_13Time 0.48 \n", + "PG5Submit 0.82 \n", + "PG6Resp 0.79 \n", + "PG6Submit 0.83 \n", + "PG7R 0.77 \n", + "PG7Submit 0.83 \n", + "PG8Resp 0.78 \n", + "PG8Submit 0.82 \n", + "PG9Resp 0.77 \n", + "PG9Submit 0.83 \n", + "PG10Resp 0.81 \n", + "PG10Submit 0.84 \n", + "PG11Resp 0.82 \n", + "PG11Submit 0.84 \n", + "PG12Resp 0.80 \n", + "PG12Submit 1.00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for(i in colnames(data))\n", + "{\n", + " data[,i] <- as.numeric (data[,i]);\n", + "}\n", + "data <- replace(data, is.na(data), 0)\n", + "\n", + "hiCor <- function(x, level){\n", + " res <- cor(x,method=\"spearman\");\n", + " res1 <- res; res1[res<0] <- -res[res < 0];\n", + " for (i in 1:dim(x)[2]){\n", + " res1[i,i] <- 0;\n", + " }\n", + " sel <- apply(res1,1,max) > level;\n", + " res[sel,sel];\n", + "}\n", + "hiCor(data,.7)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "FITTING OF THE STATISTICAL MODEL with linear regression, coefficients, too much correlation, etc. I then put this data in a model. I used the cor function and spearman method toget set up before the modeling. This will get all the correlations between responses and my variable. Those that are correlated above a .7 will need to be dropped.\n", + "Interpretation of coefficients below." + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
Device-0.1039
Completed 0.6534
Start 0.0014
End 0.5857
PG0Dis-0.0010
PG0Shown-0.0069
PG0Submit 0.2542
PG1PsnUse 0.2441
PG1WdAuth 0.1244
PG1Trn 0.1019
PG1Other 0.0989
PG1Submit 0.3514
PG2Resp 0.3948
PG2Submit 0.4576
PG2Resp.1 0.4894
PG3Submit 0.4992
PG4Dtr0_6 0.0411
PG4Psv7_8 0.1904
PG4Prm9_10 0.3953
PG4AllResp 0.5422
PG4Submit 0.4913
PG5_1RRPQ 0.6957
PG5_1Order 0.7006
PG5_1Time 0.6721
PG5_2BNUI 0.7204
PG5_2Order 0.7200
PG5_2Time 0.7144
PG5_3HDS 0.6953
PG5_3Order 0.7228
PG5_3Time 0.6821
......
PG5_11Order0.715
PG5_11Time0.702
PG5_12NWG0.727
PG5_12Order0.724
PG5_12Time0.715
PG5_13NFG0.712
PG5_13Order0.706
PG5_13Time0.697
PG5Submit0.700
PG6Resp0.598
PG6Submit0.576
PG7R0.597
PG7C.C..0.108
PG7Java0.100
PG7Python0.246
PG7Javascript0.096
PG7Go0.043
PG7C.0.042
PG7Other0.143
PG7Submit0.567
PG8Resp0.580
PG8Submit0.584
PG9Resp0.582
PG9Submit0.561
PG10Resp0.556
PG10Submit0.547
PG11Resp0.594
PG11Submit0.568
PG12Resp0.558
PG12Submit0.577
\n" + ], + "text/latex": [ + "\\begin{tabular}{r|l}\n", + "\tDevice & -0.1039\\\\\n", + "\tCompleted & 0.6534\\\\\n", + "\tStart & 0.0014\\\\\n", + "\tEnd & 0.5857\\\\\n", + "\tPG0Dis & -0.0010\\\\\n", + "\tPG0Shown & -0.0069\\\\\n", + "\tPG0Submit & 0.2542\\\\\n", + "\tPG1PsnUse & 0.2441\\\\\n", + "\tPG1WdAuth & 0.1244\\\\\n", + "\tPG1Trn & 0.1019\\\\\n", + "\tPG1Other & 0.0989\\\\\n", + "\tPG1Submit & 0.3514\\\\\n", + "\tPG2Resp & 0.3948\\\\\n", + "\tPG2Submit & 0.4576\\\\\n", + "\tPG2Resp.1 & 0.4894\\\\\n", + "\tPG3Submit & 0.4992\\\\\n", + "\tPG4Dtr0\\_6 & 0.0411\\\\\n", + "\tPG4Psv7\\_8 & 0.1904\\\\\n", + "\tPG4Prm9\\_10 & 0.3953\\\\\n", + "\tPG4AllResp & 0.5422\\\\\n", + "\tPG4Submit & 0.4913\\\\\n", + "\tPG5\\_1RRPQ & 0.6957\\\\\n", + "\tPG5\\_1Order & 0.7006\\\\\n", + "\tPG5\\_1Time & 0.6721\\\\\n", + "\tPG5\\_2BNUI & 0.7204\\\\\n", + "\tPG5\\_2Order & 0.7200\\\\\n", + "\tPG5\\_2Time & 0.7144\\\\\n", + "\tPG5\\_3HDS & 0.6953\\\\\n", + "\tPG5\\_3Order & 0.7228\\\\\n", + "\tPG5\\_3Time & 0.6821\\\\\n", + "\t... & ...\\\\\n", + "\tPG5\\_11Order & 0.715\\\\\n", + "\tPG5\\_11Time & 0.702\\\\\n", + "\tPG5\\_12NWG & 0.727\\\\\n", + "\tPG5\\_12Order & 0.724\\\\\n", + "\tPG5\\_12Time & 0.715\\\\\n", + "\tPG5\\_13NFG & 0.712\\\\\n", + "\tPG5\\_13Order & 0.706\\\\\n", + "\tPG5\\_13Time & 0.697\\\\\n", + "\tPG5Submit & 0.700\\\\\n", + "\tPG6Resp & 0.598\\\\\n", + "\tPG6Submit & 0.576\\\\\n", + "\tPG7R & 0.597\\\\\n", + "\tPG7C.C.. & 0.108\\\\\n", + "\tPG7Java & 0.100\\\\\n", + "\tPG7Python & 0.246\\\\\n", + "\tPG7Javascript & 0.096\\\\\n", + "\tPG7Go & 0.043\\\\\n", + "\tPG7C. & 0.042\\\\\n", + "\tPG7Other & 0.143\\\\\n", + "\tPG7Submit & 0.567\\\\\n", + "\tPG8Resp & 0.580\\\\\n", + "\tPG8Submit & 0.584\\\\\n", + "\tPG9Resp & 0.582\\\\\n", + "\tPG9Submit & 0.561\\\\\n", + "\tPG10Resp & 0.556\\\\\n", + "\tPG10Submit & 0.547\\\\\n", + "\tPG11Resp & 0.594\\\\\n", + "\tPG11Submit & 0.568\\\\\n", + "\tPG12Resp & 0.558\\\\\n", + "\tPG12Submit & 0.577\\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| Device | -0.1039 | \n", + "| Completed | 0.6534 | \n", + "| Start | 0.0014 | \n", + "| End | 0.5857 | \n", + "| PG0Dis | -0.0010 | \n", + "| PG0Shown | -0.0069 | \n", + "| PG0Submit | 0.2542 | \n", + "| PG1PsnUse | 0.2441 | \n", + "| PG1WdAuth | 0.1244 | \n", + "| PG1Trn | 0.1019 | \n", + "| PG1Other | 0.0989 | \n", + "| PG1Submit | 0.3514 | \n", + "| PG2Resp | 0.3948 | \n", + "| PG2Submit | 0.4576 | \n", + "| PG2Resp.1 | 0.4894 | \n", + "| PG3Submit | 0.4992 | \n", + "| PG4Dtr0_6 | 0.0411 | \n", + "| PG4Psv7_8 | 0.1904 | \n", + "| PG4Prm9_10 | 0.3953 | \n", + "| PG4AllResp | 0.5422 | \n", + "| PG4Submit | 0.4913 | \n", + "| PG5_1RRPQ | 0.6957 | \n", + "| PG5_1Order | 0.7006 | \n", + "| PG5_1Time | 0.6721 | \n", + "| PG5_2BNUI | 0.7204 | \n", + "| PG5_2Order | 0.7200 | \n", + "| PG5_2Time | 0.7144 | \n", + "| PG5_3HDS | 0.6953 | \n", + "| PG5_3Order | 0.7228 | \n", + "| PG5_3Time | 0.6821 | \n", + "| ... | ... | \n", + "| PG5_11Order | 0.715 | \n", + "| PG5_11Time | 0.702 | \n", + "| PG5_12NWG | 0.727 | \n", + "| PG5_12Order | 0.724 | \n", + "| PG5_12Time | 0.715 | \n", + "| PG5_13NFG | 0.712 | \n", + "| PG5_13Order | 0.706 | \n", + "| PG5_13Time | 0.697 | \n", + "| PG5Submit | 0.700 | \n", + "| PG6Resp | 0.598 | \n", + "| PG6Submit | 0.576 | \n", + "| PG7R | 0.597 | \n", + "| PG7C.C.. | 0.108 | \n", + "| PG7Java | 0.100 | \n", + "| PG7Python | 0.246 | \n", + "| PG7Javascript | 0.096 | \n", + "| PG7Go | 0.043 | \n", + "| PG7C. | 0.042 | \n", + "| PG7Other | 0.143 | \n", + "| PG7Submit | 0.567 | \n", + "| PG8Resp | 0.580 | \n", + "| PG8Submit | 0.584 | \n", + "| PG9Resp | 0.582 | \n", + "| PG9Submit | 0.561 | \n", + "| PG10Resp | 0.556 | \n", + "| PG10Submit | 0.547 | \n", + "| PG11Resp | 0.594 | \n", + "| PG11Submit | 0.568 | \n", + "| PG12Resp | 0.558 | \n", + "| PG12Submit | 0.577 | \n", + "\n", + "\n" + ], + "text/plain": [ + " [,1] \n", + "Device -0.1039\n", + "Completed 0.6534\n", + "Start 0.0014\n", + "End 0.5857\n", + "PG0Dis -0.0010\n", + "PG0Shown -0.0069\n", + "PG0Submit 0.2542\n", + "PG1PsnUse 0.2441\n", + "PG1WdAuth 0.1244\n", + "PG1Trn 0.1019\n", + "PG1Other 0.0989\n", + "PG1Submit 0.3514\n", + "PG2Resp 0.3948\n", + "PG2Submit 0.4576\n", + "PG2Resp.1 0.4894\n", + "PG3Submit 0.4992\n", + "PG4Dtr0_6 0.0411\n", + "PG4Psv7_8 0.1904\n", + "PG4Prm9_10 0.3953\n", + "PG4AllResp 0.5422\n", + "PG4Submit 0.4913\n", + "PG5_1RRPQ 0.6957\n", + "PG5_1Order 0.7006\n", + "PG5_1Time 0.6721\n", + "PG5_2BNUI 0.7204\n", + "PG5_2Order 0.7200\n", + "PG5_2Time 0.7144\n", + "PG5_3HDS 0.6953\n", + "PG5_3Order 0.7228\n", + "PG5_3Time 0.6821\n", + "... ... \n", + "PG5_11Order 0.715 \n", + "PG5_11Time 0.702 \n", + "PG5_12NWG 0.727 \n", + "PG5_12Order 0.724 \n", + "PG5_12Time 0.715 \n", + "PG5_13NFG 0.712 \n", + "PG5_13Order 0.706 \n", + "PG5_13Time 0.697 \n", + "PG5Submit 0.700 \n", + "PG6Resp 0.598 \n", + "PG6Submit 0.576 \n", + "PG7R 0.597 \n", + "PG7C.C.. 0.108 \n", + "PG7Java 0.100 \n", + "PG7Python 0.246 \n", + "PG7Javascript 0.096 \n", + "PG7Go 0.043 \n", + "PG7C. 0.042 \n", + "PG7Other 0.143 \n", + "PG7Submit 0.567 \n", + "PG8Resp 0.580 \n", + "PG8Submit 0.584 \n", + "PG9Resp 0.582 \n", + "PG9Submit 0.561 \n", + "PG10Resp 0.556 \n", + "PG10Submit 0.547 \n", + "PG11Resp 0.594 \n", + "PG11Submit 0.568 \n", + "PG12Resp 0.558 \n", + "PG12Submit 0.577 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "\n", + "Call:\n", + "lm(formula = PG5_10RPA ~ ., data = data)\n", + "\n", + "Residuals:\n", + " Min 1Q Median 3Q Max \n", + "-2.702 -0.300 -0.016 0.143 3.419 \n", + "\n", + "Coefficients: (1 not defined because of singularities)\n", + " Estimate Std. Error t value Pr(>|t|) \n", + "(Intercept) -2.35e+02 1.02e+02 -2.31 0.02124 * \n", + "Device -1.02e-01 4.68e-02 -2.18 0.02920 * \n", + "Completed 2.35e+02 1.02e+02 2.31 0.02084 * \n", + "Start -1.53e-07 6.61e-08 -2.31 0.02096 * \n", + "End -1.53e-07 6.61e-08 -2.31 0.02092 * \n", + "PG0Dis -1.53e-04 4.64e-04 -0.33 0.74193 \n", + "PG0Shown -3.34e-05 1.04e-04 -0.32 0.74916 \n", + "PG0Submit -4.03e-06 6.74e-06 -0.60 0.55054 \n", + "PG1PsnUse 2.03e-02 2.10e-02 0.97 0.33296 \n", + "PG1WdAuth -4.94e-02 3.33e-02 -1.48 0.13860 \n", + "PG1Trn -4.96e-02 7.51e-02 -0.66 0.50867 \n", + "PG1Other 1.21e-03 3.19e-03 0.38 0.70380 \n", + "PG1Submit -9.22e-05 1.01e-04 -0.92 0.35920 \n", + "PG2Resp -5.12e-03 2.86e-02 -0.18 0.85762 \n", + "PG2Submit -5.07e-04 3.81e-04 -1.33 0.18371 \n", + "PG2Resp.1 2.75e-04 5.96e-04 0.46 0.64396 \n", + "PG3Submit 1.46e-05 1.67e-04 0.09 0.93040 \n", + "PG4Dtr0_6 2.82e-03 2.38e-02 0.12 0.90592 \n", + "PG4Psv7_8 4.05e-03 1.34e-02 0.30 0.76202 \n", + "PG4Prm9_10 -1.82e-02 9.76e-03 -1.87 0.06180 . \n", + "PG4AllResp NA NA NA NA \n", + "PG4Submit -7.14e-04 1.75e-03 -0.41 0.68339 \n", + "PG5_1RRPQ 2.00e-04 3.31e-02 0.01 0.99518 \n", + "PG5_1Order 2.28e-02 1.09e-02 2.08 0.03729 * \n", + "PG5_1Time -9.56e-04 4.66e-04 -2.05 0.04056 * \n", + "PG5_2BNUI 2.17e-02 3.98e-02 0.55 0.58465 \n", + "PG5_2Order 9.64e-03 1.02e-02 0.94 0.34710 \n", + "PG5_2Time -1.03e-03 8.02e-04 -1.28 0.19948 \n", + "PG5_3HDS 2.80e-04 2.78e-02 0.01 0.99196 \n", + "PG5_3Order -4.97e-03 9.92e-03 -0.50 0.61633 \n", + "PG5_3Time 3.35e-04 3.23e-04 1.03 0.30095 \n", + "PG5_4VGP 9.57e-02 3.20e-02 2.99 0.00286 ** \n", + "PG5_4Order 1.19e-02 1.08e-02 1.11 0.26886 \n", + "PG5_4Time -1.68e-03 4.64e-04 -3.61 0.00031 ***\n", + "PG5_5PHR 2.20e-01 2.90e-02 7.56 7.7e-14 ***\n", + "PG5_5Order -1.81e-02 1.01e-02 -1.79 0.07416 . \n", + "PG5_5Time -1.73e-03 3.18e-04 -5.44 6.4e-08 ***\n", + "PG5_6SSYOP 1.61e-02 2.84e-02 0.57 0.57121 \n", + "PG5_6Order 1.11e-02 1.00e-02 1.10 0.26947 \n", + "PG5_6Time 3.67e-05 3.87e-04 0.09 0.92440 \n", + "PG5_7NDYP -1.96e-02 3.64e-02 -0.54 0.59015 \n", + "PG5_7Order 2.34e-02 1.06e-02 2.21 0.02703 * \n", + "PG5_7Time 1.03e-04 7.28e-04 0.14 0.88767 \n", + "PG5_8CP -3.20e-02 2.80e-02 -1.14 0.25245 \n", + "PG5_8Order 1.23e-02 9.80e-03 1.26 0.20873 \n", + "PG5_8Time -5.08e-05 2.53e-04 -0.20 0.84105 \n", + "PG5_9FRP 1.97e-01 2.84e-02 6.95 6.0e-12 ***\n", + "PG5_9Order -2.21e-02 9.52e-03 -2.33 0.02018 * \n", + "PG5_9Time -1.27e-03 2.98e-04 -4.25 2.3e-05 ***\n", + "PG5_10Order 5.51e-02 9.72e-03 5.67 1.8e-08 ***\n", + "PG5_10Time 7.64e-03 3.05e-04 25.04 < 2e-16 ***\n", + "PG5_11NSG 7.43e-02 3.81e-02 1.95 0.05111 . \n", + "PG5_11Order 9.46e-03 1.08e-02 0.87 0.38205 \n", + "PG5_11Time -2.45e-03 6.63e-04 -3.69 0.00024 ***\n", + "PG5_12NWG -2.88e-02 4.81e-02 -0.60 0.54952 \n", + "PG5_12Order 2.40e-02 1.08e-02 2.23 0.02561 * \n", + "PG5_12Time -1.96e-04 9.25e-04 -0.21 0.83195 \n", + "PG5_13NFG 4.94e-02 4.95e-02 1.00 0.31826 \n", + "PG5_13Order 1.05e-02 1.10e-02 0.96 0.33901 \n", + "PG5_13Time 8.64e-04 8.92e-04 0.97 0.33329 \n", + "PG5Submit -3.69e-05 1.43e-04 -0.26 0.79635 \n", + "PG6Resp 1.17e-02 1.75e-02 0.67 0.50272 \n", + "PG6Submit 1.18e-04 1.13e-04 1.04 0.29969 \n", + "PG7R -6.69e-03 6.42e-03 -1.04 0.29763 \n", + "PG7C.C.. -8.17e-02 1.00e-01 -0.81 0.41633 \n", + "PG7Java 1.29e-01 1.29e-01 1.00 0.31627 \n", + "PG7Python 2.01e-01 7.02e-02 2.87 0.00418 ** \n", + "PG7Javascript 6.07e-02 1.24e-01 0.49 0.62377 \n", + "PG7Go -5.98e-01 6.04e-01 -0.99 0.32251 \n", + "PG7C. 9.29e-02 1.86e-01 0.50 0.61810 \n", + "PG7Other 2.94e-02 4.29e-02 0.68 0.49371 \n", + "PG7Submit 7.15e-04 1.12e-03 0.64 0.52509 \n", + "PG8Resp 6.39e-04 6.04e-04 1.06 0.29043 \n", + "PG8Submit -1.50e-03 2.66e-03 -0.56 0.57309 \n", + "PG9Resp 4.63e-02 1.64e-02 2.82 0.00485 ** \n", + "PG9Submit -8.27e-05 5.01e-05 -1.65 0.09931 . \n", + "PG10Resp 1.73e-02 2.62e-02 0.66 0.50991 \n", + "PG10Submit -7.71e-05 1.41e-04 -0.55 0.58548 \n", + "PG11Resp -1.59e-02 5.99e-02 -0.27 0.79082 \n", + "PG11Submit -1.50e-03 1.30e-03 -1.15 0.24947 \n", + "PG12Resp -4.80e-02 2.77e-02 -1.73 0.08367 . \n", + "PG12Submit 6.24e-04 5.34e-04 1.17 0.24316 \n", + "---\n", + "Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n", + "\n", + "Residual standard error: 0.82 on 1272 degrees of freedom\n", + "Multiple R-squared: 0.779,\tAdjusted R-squared: 0.766 \n", + "F-statistic: 56.2 on 80 and 1272 DF, p-value: <2e-16\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sel = c() \n", + "for (i in 1:dim(data)[2]) if (is.numeric(data[,i])) sel = c(sel, i);\n", + "cor(data[,sel], data[,'PG5_10RPA'], method=\"spearman\",use=\"pairwise.complete.obs\");\n", + "model <- lm(PG5_10RPA ~ ., data = data)\n", + "summary(model)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "INTERPRETATION AND CONCLUSION:\n", + "The model has a 76.6% degree of variability, and a residual error of 0.82. Additionally, it is worth noting that the predictors coefficients are small and that the distribution between negative and positive values is pretty even. The very small p-value (statistical significance), suggests that my data is unlikely to be correlated with a true NULL hypothesis and that the random sampling error was very small. Correaltion is about two variables 'moving together' in a direction or path. The higher the correlation, the stronger the bond.\n", + "\n", + "In turns out that my hypothesis was correct and the reputation of the author does in fact matter to survey takers. To do this, it consisted of parsing data and then interpreting it. Using R functions like select(), filter(), and reading into models I was able to handle the data. Above each of my code cells is a cell with a short but 'to the point' description of each required aspect of the project, along with the required output below. \n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "SURVEY IMPROVEMENT: It would really help to only allow a survey to be submitted if it is completed. This would make it so incomplete answers do not need to be filtered and would be a much cleaner set of data to work with. Additionally, there are some survey takers that take a disproportionate amount of time to answer. Perhaps the survey could time-out after a set time and the answers be omitted." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Interpret correlations: onlys start vs End, calculate differene instead\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": true + }, + "source": [ + "### Simple questions\n", + "\n", + "- Time to take entire survey?\n", + "- Question that took the longest to complete?\n", + "- Question that took the least time?\n", + "- Top-ranked criteria?\n", + "- Demographic distribution by age?" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.4.4" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +}