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Last active August 29, 2015 14:10
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{
"worksheets": [
{
"cells": [
{
"metadata": {},
"cell_type": "code",
"input": "import pandas as pd, numpy as np, datetime, random, cPickle as pickle\nfrom scipy import stats\nfrom __future__ import division\npd.set_option('max_colwidth', 200)",
"prompt_number": 1,
"outputs": [],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "markdown",
"source": "Read 2011 data"
},
{
"metadata": {},
"cell_type": "code",
"input": "base_path = '../data/'\nfile_2011 = 'stark_2011_events.csv'\ngrades_2011 = 'anonymized11.csv'",
"prompt_number": 4,
"outputs": [],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "code",
"input": "events = pd.read_csv('%s%s' % (base_path,file_2011),\n skiprows=1,\n names=['userId',\n 'updatedAt',\n 'eventType',\n 'activityType',\n 'activityTitle',\n 'topicTitle',\n 'timeMinutes',\n 'scorePercent',\n 'anchorValue',\n 'anchorSelection',\n 'topicId',\n 'activityId',\n 'activityEventId',\n 'updateCount'],\n parse_dates=[\"updatedAt\"],\n na_values=[\"\\N\"],\n delimiter=\"\\t\"\n )\n\ngrades = pd.read_csv('%s%s' % (base_path,grades_2011),\n skiprows=1,\n names=[\"dropcol\",\n \"userId\",\n \"Set0\",\n \"Set1\",\n \"Set2\",\n \"Set3\",\n \"Set4\",\n \"Set5\",\n \"Set6\",\n \"Set7\",\n \"Set8\",\n \"Set9\",\n \"Set10\",\n \"Set11\",\n \"Set12\",\n \"Set13\",\n \"Set14\",\n \"Set15\",\n \"Set16\",\n \"Set17\",\n \"Set18\",\n \"Set19\",\n \"Set20\",\n \"Set21\",\n \"Set22\",\n \"Set23\",\n \"Set24\",\n \"Set25\",\n \"Set26\",\n \"Set27\",\n \"Set28\",\n \"demerit\",\n \"s0\",\n \"s1\",\n \"s2\",\n \"s3\",\n \"s4\",\n \"s5\",\n \"s6\",\n \"s7\",\n \"s8\",\n \"s9\",\n \"s10\",\n \"s11\",\n \"s12\",\n \"s13\",\n \"s14\",\n \"s15\",\n \"s16\",\n \"s17\",\n \"s18\",\n \"s19\",\n \"s20\",\n \"s21\",\n \"s22\",\n \"s23\",\n \"s24\",\n \"s25\",\n \"s26\",\n \"s27\",\n \"s28\",\n \"set2Adj\",\n \"set3Adj\",\n \"set4Adj\",\n \"set5Adj\",\n \"set9Adj\",\n \"set13Adj\",\n \"set23Adj\",\n \"Cred.Code\",\n \"hw\",\n \"final\",\n \"course\",\n \"letter\",\n \"Comment\"])\n\ngrades = grades[grades.course.apply(lambda x: pd.notnull(x))]\ndel grades['dropcol']",
"prompt_number": 5,
"outputs": [],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "code",
"input": "events[:50]",
"prompt_number": 6,
"outputs": [
{
"text": " userId updatedAt eventType \\\n0 b678938e-c784-4a46-8c32-9babd9dd8b05 2011-07-20 00:26:38 CLOSED \n1 ec43374b-90d3-4b95-9590-c1f5a731bee8 2011-07-16 00:25:54 OPENED \n2 8feddd5e-08fb-440e-947f-6026bad628ad 2011-07-19 03:22:14 CLOSED \n3 cba5cb38-f633-4b41-a0f2-751b75f34940 2011-07-20 01:35:23 CLOSED \n4 0fc9a23f-a41e-4a07-ba18-8f63cf37cee4 2011-07-19 14:16:58 CLOSED \n5 b678938e-c784-4a46-8c32-9babd9dd8b05 2011-07-20 01:15:59 CLOSED \n6 2cb98103-b91d-49ea-8f71-bbb73edf161e 2011-07-19 11:12:21 CLOSED \n7 4219080d-daa0-4608-9858-0a860794c494 2011-07-19 01:17:54 CLOSED \n8 bd4f39a4-6cf5-471b-8023-92ff59f2048f 2011-07-20 03:01:55 CLOSED \n9 8a4e74bf-6400-4f93-945e-ba807a8bc4a2 2011-07-20 01:16:00 CLOSED \n10 4c25b0be-a806-40e7-aef7-ded93dc082ce 2011-07-19 14:26:39 CLOSED \n11 2eb72ff3-3093-42ce-b913-0f24d8a54117 2011-07-18 20:16:17 CLOSED \n12 375209ae-a535-4cc1-9474-8a57a8270027 2011-07-19 23:18:18 CLOSED \n13 03ad0a94-bbb6-4e23-9704-4de918908205 2011-07-19 15:31:31 CLOSED \n14 6b4ca9de-e506-412f-8771-238421bf2ad1 2011-07-19 06:44:05 CLOSED \n15 a39fa72c-c721-4a41-aa78-19d7a1672ffa 2011-07-20 03:32:00 CLOSED \n16 637a2feb-0b4c-4e15-840b-1bb90686a070 2011-07-19 21:41:28 CLOSED \n17 ec43374b-90d3-4b95-9590-c1f5a731bee8 2011-07-16 00:08:57 CLOSED \n18 f13130e9-f9c9-4121-a428-632878ee9b67 2011-07-16 23:46:35 CLOSED \n19 b69ccb74-c64d-44b8-9ce6-333c6829263f 2011-07-19 23:01:51 CLOSED \n20 c9195d1c-11ef-4f06-8fda-8bab3557e0b5 2011-07-14 17:39:03 CLOSED \n21 5fae7259-2b69-44bc-b7da-62ba15618c85 2011-07-19 17:24:09 OPENED \n22 f3f56d52-2eda-4650-8660-c2a7ab663e01 2011-07-11 04:50:10 CLOSED \n23 3c42fcef-c349-443e-8c43-8b9e03b513d6 2011-06-28 23:57:44 CLOSED \n24 6b4ca9de-e506-412f-8771-238421bf2ad1 2011-07-19 06:24:01 OPENED \n25 225d837f-56a7-41e3-9c1d-e7c5cd8c3144 2011-07-14 23:48:14 CLOSED \n26 df1cb940-24df-4f56-bdca-42d28ab03603 2011-07-16 05:09:35 CLOSED \n27 f3f56d52-2eda-4650-8660-c2a7ab663e01 2011-07-11 04:50:10 CLOSED \n28 67898db5-de4a-474f-bb4a-2c5b25f30eab 2011-07-20 23:38:29 CLOSED \n29 e9183123-1172-4923-b66a-47cc6a8141d0 2011-07-18 15:28:26 CLOSED \n30 67898db5-de4a-474f-bb4a-2c5b25f30eab 2011-07-20 02:59:08 CLOSED \n31 b678938e-c784-4a46-8c32-9babd9dd8b05 2011-07-20 01:11:21 SUSPENDED \n32 64737a80-8449-4b2d-8303-03dcd0bd0107 2011-07-15 23:03:34 CLOSED \n33 7fd07ddb-c486-4ef5-8de9-44f66ba44d8f 2011-07-20 04:12:31 CLOSED \n34 d0ff7524-7dd9-4519-866e-2e9fb0826c07 2011-07-19 22:14:15 CLOSED \n35 7858014c-5cf2-4e2e-a314-5abe8be68473 2011-07-19 21:07:06 CLOSED \n36 e3bb61b3-bcca-435c-90a4-ba404fa38b3b 2011-07-11 18:25:24 CLOSED \n37 c9744297-65d9-42d8-9127-c42f4e0f1c9a 2011-07-20 04:11:46 CLOSED \n38 8b0bcbaf-d534-416b-b6a6-2b079dc5177f 2011-07-19 17:41:11 OPENED \n39 857adb07-d644-41d5-9851-c3358233c44b 2011-07-20 03:11:35 CLOSED \n40 3c42fcef-c349-443e-8c43-8b9e03b513d6 2011-06-28 23:57:44 CLOSED \n41 e3bb61b3-bcca-435c-90a4-ba404fa38b3b 2011-07-11 18:25:24 CLOSED \n42 375209ae-a535-4cc1-9474-8a57a8270027 2011-07-19 22:23:55 CLOSED \n43 5a114f6f-cff4-46de-b07e-f77ef13344ce 2011-07-19 17:19:59 CLOSED \n44 046ea471-170e-4864-a9f4-efa7a8b67f9d 2011-07-14 01:11:56 CLOSED \n45 4c25b0be-a806-40e7-aef7-ded93dc082ce 2011-07-19 15:05:41 CLOSED \n46 12252f59-fcc8-4ddb-a2cb-19242c2d8a0d 2011-07-19 02:42:16 CLOSED \n47 9f16d481-8a1b-4187-8ff9-133f4dee0c73 2011-07-19 09:14:16 CLOSED \n48 dea6f464-5c89-44da-9566-2c13f280a385 2011-07-19 05:28:05 CLOSED \n49 66566476-3242-415f-8dc8-669a766f2983 2011-07-19 21:58:24 CLOSED \n\n activityType activityTitle \\\n0 LISTEN A Box Model for the Let's Make a Deal Problem \n1 LISTEN A Box Model for the Let's Make a Deal Problem \n2 LISTEN A Box Model for the Let's Make a Deal Problem \n3 LISTEN A Box Model for the Let's Make a Deal Problem \n4 LISTEN A Box Model for the Let's Make a Deal Problem \n5 LISTEN A Box Model for the Let's Make a Deal Problem \n6 LISTEN A Box Model for the Let's Make a Deal Problem \n7 LISTEN A Box Model for the Let's Make a Deal Problem \n8 LISTEN A Box Model for the Let's Make a Deal Problem \n9 LISTEN A Box Model for the Let's Make a Deal Problem \n10 LISTEN A Box Model for the Let's Make a Deal Problem \n11 LISTEN A Box Model for the Let's Make a Deal Problem \n12 LISTEN A Box Model for the Let's Make a Deal Problem \n13 LISTEN A Box Model for the Let's Make a Deal Problem \n14 LISTEN A Box Model for the Let's Make a Deal Problem \n15 LISTEN A Box Model for the Let's Make a Deal Problem \n16 LISTEN A Box Model for the Let's Make a Deal Problem \n17 LISTEN A Box Model for the Let's Make a Deal Problem \n18 LISTEN A Box Model for the Let's Make a Deal Problem \n19 LISTEN A Box Model for the Let's Make a Deal Problem \n20 LISTEN A Box Model for the Let's Make a Deal Problem \n21 LISTEN A Box Model for the Let's Make a Deal Problem \n22 LISTEN A Box Model for the Let's Make a Deal Problem \n23 LISTEN A Box Model for the Let's Make a Deal Problem \n24 LISTEN A Box Model for the Let's Make a Deal Problem \n25 LISTEN A Box Model for the Let's Make a Deal Problem \n26 LISTEN A Box Model for the Let's Make a Deal Problem \n27 LISTEN A Box Model for the Let's Make a Deal Problem \n28 LISTEN A Box Model for the Let's Make a Deal Problem \n29 LISTEN A Box Model for the Let's Make a Deal Problem \n30 LISTEN A Box Model for the Let's Make a Deal Problem \n31 LISTEN A Box Model for the Let's Make a Deal Problem \n32 LISTEN A Box Model for the Let's Make a Deal Problem \n33 LISTEN A Box Model for the Let's Make a Deal Problem \n34 LISTEN A Box Model for the Let's Make a Deal Problem \n35 LISTEN A Box Model for the Let's Make a Deal Problem \n36 LISTEN A Box Model for the Let's Make a Deal Problem \n37 LISTEN A Box Model for the Let's Make a Deal Problem \n38 LISTEN A Box Model for the Let's Make a Deal Problem \n39 LISTEN A Box Model for the Let's Make a Deal Problem \n40 LISTEN A Box Model for the Let's Make a Deal Problem \n41 LISTEN A Box Model for the Let's Make a Deal Problem \n42 LISTEN A Box Model for the Let's Make a Deal Problem \n43 LISTEN A Box Model for the Let's Make a Deal Problem \n44 LISTEN A Box Model for the Let's Make a Deal Problem \n45 LISTEN A Box Model for the Let's Make a Deal Problem \n46 LISTEN A Box Model for the Let's Make a Deal Problem \n47 LISTEN A Box Model for the Let's Make a Deal Problem \n48 LISTEN A Box Model for the Let's Make a Deal Problem \n49 LISTEN A Box Model for the Let's Make a Deal Problem \n\n topicTitle timeMinutes scorePercent \\\n0 A Box Model for the Let's Make a Deal Problem 0 NaN \n1 A Box Model for the Let's Make a Deal Problem NaN NaN \n2 A Box Model for the Let's Make a Deal Problem 0 NaN \n3 A Box Model for the Let's Make a Deal Problem 0 NaN \n4 A Box Model for the Let's Make a Deal Problem 0 NaN \n5 A Box Model for the Let's Make a Deal Problem 0 NaN \n6 A Box Model for the Let's Make a Deal Problem 0 NaN \n7 A Box Model for the Let's Make a Deal Problem 0 NaN \n8 A Box Model for the Let's Make a Deal Problem 0 NaN \n9 A Box Model for the Let's Make a Deal Problem 0 NaN \n10 A Box Model for the Let's Make a Deal Problem 0 NaN \n11 A Box Model for the Let's Make a Deal Problem 0 NaN \n12 A Box Model for the Let's Make a Deal Problem 0 NaN \n13 A Box Model for the Let's Make a Deal Problem 0 NaN \n14 A Box Model for the Let's Make a Deal Problem 0 NaN \n15 A Box Model for the Let's Make a Deal Problem 0 NaN \n16 A Box Model for the Let's Make a Deal Problem 0 NaN \n17 A Box Model for the Let's Make a Deal Problem 0 NaN \n18 A Box Model for the Let's Make a Deal Problem 0 NaN \n19 A Box Model for the Let's Make a Deal Problem 0 NaN \n20 A Box Model for the Let's Make a Deal Problem 0 NaN \n21 A Box Model for the Let's Make a Deal Problem NaN NaN \n22 A Box Model for the Let's Make a Deal Problem 0 NaN \n23 A Box Model for the Let's Make a Deal Problem 0 0 \n24 A Box Model for the Let's Make a Deal Problem NaN NaN \n25 A Box Model for the Let's Make a Deal Problem 0 NaN \n26 A Box Model for the Let's Make a Deal Problem 0 NaN \n27 A Box Model for the Let's Make a Deal Problem 0 0 \n28 A Box Model for the Let's Make a Deal Problem 0 NaN \n29 A Box Model for the Let's Make a Deal Problem 0 NaN \n30 A Box Model for the Let's Make a Deal Problem 0 NaN \n31 A Box Model for the Let's Make a Deal Problem 1 NaN \n32 A Box Model for the Let's Make a Deal Problem 0 NaN \n33 A Box Model for the Let's Make a Deal Problem 0 NaN \n34 A Box Model for the Let's Make a Deal Problem 0 NaN \n35 A Box Model for the Let's Make a Deal Problem 0 NaN \n36 A Box Model for the Let's Make a Deal Problem 0 NaN \n37 A Box Model for the Let's Make a Deal Problem 0 NaN \n38 A Box Model for the Let's Make a Deal Problem NaN NaN \n39 A Box Model for the Let's Make a Deal Problem 0 NaN \n40 A Box Model for the Let's Make a Deal Problem 0 NaN \n41 A Box Model for the Let's Make a Deal Problem 0 0 \n42 A Box Model for the Let's Make a Deal Problem 0 NaN \n43 A Box Model for the Let's Make a Deal Problem 0 NaN \n44 A Box Model for the Let's Make a Deal Problem 0 NaN \n45 A Box Model for the Let's Make a Deal Problem 0 NaN \n46 A Box Model for the Let's Make a Deal Problem 0 NaN \n47 A Box Model for the Let's Make a Deal Problem 0 NaN \n48 A Box Model for the Let's Make a Deal Problem 0 NaN \n49 A Box Model for the Let's Make a Deal Problem 0 NaN \n\n anchorValue anchorSelection topicId \\\n0 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n1 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n2 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n3 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n4 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n5 playerObject 0 0OL-NSOMP_DA8YG95U85S1CUL3 \n6 playerObject NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n7 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n8 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n9 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n10 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n11 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n12 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n13 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n14 playerObject NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n15 playerObject 0 0OL-NSOMP_DA8YG95U85S1CUL3 \n16 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n17 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n18 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n19 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n20 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n21 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n22 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n23 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n24 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n25 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n26 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n27 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n28 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n29 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n30 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n31 playerObject 0 0OL-NSOMP_DA8YG95U85S1CUL3 \n32 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n33 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n34 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n35 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n36 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n37 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n38 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n39 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n40 playerObject 0 0OL-NSOMP_DA8YG95U85S1CUL3 \n41 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n42 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n43 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n44 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n45 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n46 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n47 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n48 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n49 NaN NaN 0OL-NSOMP_DA8YG95U85S1CUL3 \n\n activityId activityEventId updateCount \n0 0NL-TX9HXSEAYIDJBU85S1CUL3 -6A-LS9UAFGA_7ER2IRQZNBUL3 1 \n1 0NL-TX9HXSEAYIDJBU85S1CUL3 -SKJ3R2X7GA_7ER2IRQZNBUL3 0 \n2 0NL-TX9HXSEAYIDJBU85S1CUL3 -TJAKFV3CGA_7ER2IRQZNBUL3 1 \n3 0NL-TX9HXSEAYIDJBU85S1CUL3 229-LS9UAFGA_7ER2IRQZNBUL3 1 \n4 0NL-TX9HXSEAYIDJBU85S1CUL3 29E-LS9UAFGA_7ER2IRQZNBUL3 1 \n5 0NL-TX9HXSEAYIDJBU85S1CUL3 3F9-LS9UAFGA_7ER2IRQZNBUL3 0 \n6 0NL-TX9HXSEAYIDJBU85S1CUL3 3FE-LS9UAFGA_7ER2IRQZNBUL3 1 \n7 0NL-TX9HXSEAYIDJBU85S1CUL3 3MGAKFV3CGA_7ER2IRQZNBUL3 1 \n8 0NL-TX9HXSEAYIDJBU85S1CUL3 5G7-LS9UAFGA_7ER2IRQZNBUL3 1 \n9 0NL-TX9HXSEAYIDJBU85S1CUL3 6F9-LS9UAFGA_7ER2IRQZNBUL3 1 \n10 0NL-TX9HXSEAYIDJBU85S1CUL3 78E-LS9UAFGA_7ER2IRQZNBUL3 1 \n11 0NL-TX9HXSEAYIDJBU85S1CUL3 7CCAKFV3CGA_7ER2IRQZNBUL3 1 \n12 0NL-TX9HXSEAYIDJBU85S1CUL3 A-B-LS9UAFGA_7ER2IRQZNBUL3 1 \n13 0NL-TX9HXSEAYIDJBU85S1CUL3 A-E-LS9UAFGA_7ER2IRQZNBUL3 1 \n14 0NL-TX9HXSEAYIDJBU85S1CUL3 AFG-LS9UAFGA_7ER2IRQZNBUL3 0 \n15 0NL-TX9HXSEAYIDJBU85S1CUL3 BQ6-LS9UAFGA_7ER2IRQZNBUL3 1 \n16 0NL-TX9HXSEAYIDJBU85S1CUL3 C0C-LS9UAFGA_7ER2IRQZNBUL3 1 \n17 0NL-TX9HXSEAYIDJBU85S1CUL3 CRKJ3R2X7GA_7ER2IRQZNBUL3 2 \n18 0NL-TX9HXSEAYIDJBU85S1CUL3 CTI-AKFV3CGA_7ER2IRQZNBUL3 1 \n19 0NL-TX9HXSEAYIDJBU85S1CUL3 D8B-LS9UAFGA_7ER2IRQZNBUL3 1 \n20 0NL-TX9HXSEAYIDJBU85S1CUL3 DBGJ3R2X7GA_7ER2IRQZNBUL3 1 \n21 0NL-TX9HXSEAYIDJBU85S1CUL3 DOD-LS9UAFGA_7ER2IRQZNBUL3 0 \n22 0NL-TX9HXSEAYIDJBU85S1CUL3 DSA-TUG4Y5GAMD8EDIRQZNBUL3 0 \n23 0NL-TX9HXSEAYIDJBU85S1CUL3 E1D-EJ-YPUFAMD8EDIRQZNBUL3 1 \n24 0NL-TX9HXSEAYIDJBU85S1CUL3 ECH-LS9UAFGA_7ER2IRQZNBUL3 0 \n25 0NL-TX9HXSEAYIDJBU85S1CUL3 EJHJ3R2X7GA_7ER2IRQZNBUL3 1 \n26 0NL-TX9HXSEAYIDJBU85S1CUL3 FGLJ3R2X7GA_7ER2IRQZNBUL3 1 \n27 0NL-TX9HXSEAYIDJBU85S1CUL3 GSA-TUG4Y5GAMD8EDIRQZNBUL3 1 \n28 0NL-TX9HXSEAYIDJBU85S1CUL3 HE4LS9UAFGA_7ER2IRQZNBUL3 1 \n29 0NL-TX9HXSEAYIDJBU85S1CUL3 HEAAKFV3CGA_7ER2IRQZNBUL3 1 \n30 0NL-TX9HXSEAYIDJBU85S1CUL3 HJ7-LS9UAFGA_7ER2IRQZNBUL3 1 \n31 0NL-TX9HXSEAYIDJBU85S1CUL3 JI9-LS9UAFGA_7ER2IRQZNBUL3 1 \n32 0NL-TX9HXSEAYIDJBU85S1CUL3 JMKJ3R2X7GA_7ER2IRQZNBUL3 1 \n33 0NL-TX9HXSEAYIDJBU85S1CUL3 KH5-LS9UAFGA_7ER2IRQZNBUL3 1 \n34 0NL-TX9HXSEAYIDJBU85S1CUL3 KQB-LS9UAFGA_7ER2IRQZNBUL3 1 \n35 0NL-TX9HXSEAYIDJBU85S1CUL3 LAC-LS9UAFGA_7ER2IRQZNBUL3 1 \n36 0NL-TX9HXSEAYIDJBU85S1CUL3 M37-TUG4Y5GAMD8EDIRQZNBUL3 0 \n37 0NL-TX9HXSEAYIDJBU85S1CUL3 MI5-LS9UAFGA_7ER2IRQZNBUL3 1 \n38 0NL-TX9HXSEAYIDJBU85S1CUL3 MKD-LS9UAFGA_7ER2IRQZNBUL3 0 \n39 0NL-TX9HXSEAYIDJBU85S1CUL3 N67-LS9UAFGA_7ER2IRQZNBUL3 1 \n40 0NL-TX9HXSEAYIDJBU85S1CUL3 O-D-EJ-YPUFAMD8EDIRQZNBUL3 0 \n41 0NL-TX9HXSEAYIDJBU85S1CUL3 O37-TUG4Y5GAMD8EDIRQZNBUL3 1 \n42 0NL-TX9HXSEAYIDJBU85S1CUL3 ONB-LS9UAFGA_7ER2IRQZNBUL3 1 \n43 0NL-TX9HXSEAYIDJBU85S1CUL3 OPD-LS9UAFGA_7ER2IRQZNBUL3 1 \n44 0NL-TX9HXSEAYIDJBU85S1CUL3 OU2J3R2X7GA_7ER2IRQZNBUL3 2 \n45 0NL-TX9HXSEAYIDJBU85S1CUL3 P2E-LS9UAFGA_7ER2IRQZNBUL3 1 \n46 0NL-TX9HXSEAYIDJBU85S1CUL3 PHIAKFV3CGA_7ER2IRQZNBUL3 1 \n47 0NL-TX9HXSEAYIDJBU85S1CUL3 PNE-LS9UAFGA_7ER2IRQZNBUL3 1 \n48 0NL-TX9HXSEAYIDJBU85S1CUL3 PNJ-LS9UAFGA_7ER2IRQZNBUL3 1 \n49 0NL-TX9HXSEAYIDJBU85S1CUL3 PWB-LS9UAFGA_7ER2IRQZNBUL3 1 ",
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</tr>\n <tr>\n <th>12</th>\n <td> 375209ae-a535-4cc1-9474-8a57a8270027</td>\n <td>2011-07-19 23:18:18</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> A-B-LS9UAFGA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>13</th>\n <td> 03ad0a94-bbb6-4e23-9704-4de918908205</td>\n <td>2011-07-19 15:31:31</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> A-E-LS9UAFGA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>14</th>\n <td> 6b4ca9de-e506-412f-8771-238421bf2ad1</td>\n <td>2011-07-19 06:44:05</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> playerObject</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> AFG-LS9UAFGA_7ER2IRQZNBUL3</td>\n <td> 0</td>\n </tr>\n <tr>\n <th>15</th>\n <td> a39fa72c-c721-4a41-aa78-19d7a1672ffa</td>\n <td>2011-07-20 03:32:00</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> playerObject</td>\n <td> 0</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> BQ6-LS9UAFGA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>16</th>\n <td> 637a2feb-0b4c-4e15-840b-1bb90686a070</td>\n <td>2011-07-19 21:41:28</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for 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Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> CTI-AKFV3CGA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>19</th>\n <td> b69ccb74-c64d-44b8-9ce6-333c6829263f</td>\n <td>2011-07-19 23:01:51</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> D8B-LS9UAFGA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>20</th>\n <td> c9195d1c-11ef-4f06-8fda-8bab3557e0b5</td>\n <td>2011-07-14 17:39:03</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> DBGJ3R2X7GA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>21</th>\n <td> 5fae7259-2b69-44bc-b7da-62ba15618c85</td>\n <td>2011-07-19 17:24:09</td>\n <td> OPENED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td>NaN</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> DOD-LS9UAFGA_7ER2IRQZNBUL3</td>\n <td> 0</td>\n </tr>\n <tr>\n <th>22</th>\n <td> f3f56d52-2eda-4650-8660-c2a7ab663e01</td>\n <td>2011-07-11 04:50:10</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> DSA-TUG4Y5GAMD8EDIRQZNBUL3</td>\n <td> 0</td>\n </tr>\n <tr>\n <th>23</th>\n <td> 3c42fcef-c349-443e-8c43-8b9e03b513d6</td>\n <td>2011-06-28 23:57:44</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td> 0</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> E1D-EJ-YPUFAMD8EDIRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>24</th>\n <td> 6b4ca9de-e506-412f-8771-238421bf2ad1</td>\n <td>2011-07-19 06:24:01</td>\n <td> OPENED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td>NaN</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> ECH-LS9UAFGA_7ER2IRQZNBUL3</td>\n <td> 0</td>\n </tr>\n <tr>\n <th>25</th>\n <td> 225d837f-56a7-41e3-9c1d-e7c5cd8c3144</td>\n <td>2011-07-14 23:48:14</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> EJHJ3R2X7GA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>26</th>\n <td> df1cb940-24df-4f56-bdca-42d28ab03603</td>\n <td>2011-07-16 05:09:35</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> FGLJ3R2X7GA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>27</th>\n <td> f3f56d52-2eda-4650-8660-c2a7ab663e01</td>\n <td>2011-07-11 04:50:10</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td> 0</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> GSA-TUG4Y5GAMD8EDIRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>28</th>\n <td> 67898db5-de4a-474f-bb4a-2c5b25f30eab</td>\n <td>2011-07-20 23:38:29</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> HE4LS9UAFGA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>29</th>\n <td> e9183123-1172-4923-b66a-47cc6a8141d0</td>\n <td>2011-07-18 15:28:26</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> HEAAKFV3CGA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>30</th>\n <td> 67898db5-de4a-474f-bb4a-2c5b25f30eab</td>\n <td>2011-07-20 02:59:08</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> HJ7-LS9UAFGA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>31</th>\n <td> b678938e-c784-4a46-8c32-9babd9dd8b05</td>\n <td>2011-07-20 01:11:21</td>\n <td> SUSPENDED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 1</td>\n <td>NaN</td>\n <td> playerObject</td>\n <td> 0</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> JI9-LS9UAFGA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>32</th>\n <td> 64737a80-8449-4b2d-8303-03dcd0bd0107</td>\n <td>2011-07-15 23:03:34</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> JMKJ3R2X7GA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>33</th>\n <td> 7fd07ddb-c486-4ef5-8de9-44f66ba44d8f</td>\n <td>2011-07-20 04:12:31</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> KH5-LS9UAFGA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>34</th>\n <td> d0ff7524-7dd9-4519-866e-2e9fb0826c07</td>\n <td>2011-07-19 22:14:15</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> KQB-LS9UAFGA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>35</th>\n <td> 7858014c-5cf2-4e2e-a314-5abe8be68473</td>\n <td>2011-07-19 21:07:06</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> LAC-LS9UAFGA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>36</th>\n <td> e3bb61b3-bcca-435c-90a4-ba404fa38b3b</td>\n <td>2011-07-11 18:25:24</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> M37-TUG4Y5GAMD8EDIRQZNBUL3</td>\n <td> 0</td>\n </tr>\n <tr>\n <th>37</th>\n <td> c9744297-65d9-42d8-9127-c42f4e0f1c9a</td>\n <td>2011-07-20 04:11:46</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> MI5-LS9UAFGA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>38</th>\n <td> 8b0bcbaf-d534-416b-b6a6-2b079dc5177f</td>\n <td>2011-07-19 17:41:11</td>\n <td> OPENED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td>NaN</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> MKD-LS9UAFGA_7ER2IRQZNBUL3</td>\n <td> 0</td>\n </tr>\n <tr>\n <th>39</th>\n <td> 857adb07-d644-41d5-9851-c3358233c44b</td>\n <td>2011-07-20 03:11:35</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> N67-LS9UAFGA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>40</th>\n <td> 3c42fcef-c349-443e-8c43-8b9e03b513d6</td>\n <td>2011-06-28 23:57:44</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> playerObject</td>\n <td> 0</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> O-D-EJ-YPUFAMD8EDIRQZNBUL3</td>\n <td> 0</td>\n </tr>\n <tr>\n <th>41</th>\n <td> e3bb61b3-bcca-435c-90a4-ba404fa38b3b</td>\n <td>2011-07-11 18:25:24</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td> 0</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> O37-TUG4Y5GAMD8EDIRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>42</th>\n <td> 375209ae-a535-4cc1-9474-8a57a8270027</td>\n <td>2011-07-19 22:23:55</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> ONB-LS9UAFGA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>43</th>\n <td> 5a114f6f-cff4-46de-b07e-f77ef13344ce</td>\n <td>2011-07-19 17:19:59</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> OPD-LS9UAFGA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>44</th>\n <td> 046ea471-170e-4864-a9f4-efa7a8b67f9d</td>\n <td>2011-07-14 01:11:56</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> OU2J3R2X7GA_7ER2IRQZNBUL3</td>\n <td> 2</td>\n </tr>\n <tr>\n <th>45</th>\n <td> 4c25b0be-a806-40e7-aef7-ded93dc082ce</td>\n <td>2011-07-19 15:05:41</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> P2E-LS9UAFGA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>46</th>\n <td> 12252f59-fcc8-4ddb-a2cb-19242c2d8a0d</td>\n <td>2011-07-19 02:42:16</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> PHIAKFV3CGA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>47</th>\n <td> 9f16d481-8a1b-4187-8ff9-133f4dee0c73</td>\n <td>2011-07-19 09:14:16</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> PNE-LS9UAFGA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>48</th>\n <td> dea6f464-5c89-44da-9566-2c13f280a385</td>\n <td>2011-07-19 05:28:05</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> PNJ-LS9UAFGA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n <tr>\n <th>49</th>\n <td> 66566476-3242-415f-8dc8-669a766f2983</td>\n <td>2011-07-19 21:58:24</td>\n <td> CLOSED</td>\n <td> LISTEN</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> A Box Model for the Let's Make a Deal Problem</td>\n <td> 0</td>\n <td>NaN</td>\n <td> NaN</td>\n <td>NaN</td>\n <td> 0OL-NSOMP_DA8YG95U85S1CUL3</td>\n <td> 0NL-TX9HXSEAYIDJBU85S1CUL3</td>\n <td> PWB-LS9UAFGA_7ER2IRQZNBUL3</td>\n <td> 1</td>\n </tr>\n </tbody>\n</table>\n</div>",
"output_type": "pyout",
"metadata": {},
"prompt_number": 6
}
],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "code",
"input": "grades[:10]",
"prompt_number": 7,
"outputs": [
{
"text": " userId Set0 Set1 Set2 Set3 Set4 \\\n23 2ff7392e-d3de-48d2-b5bb-642a8e741ef1 95.0 100.0 100.0 91.7 87.5 \n24 9eb1fc4f-28a3-44a5-9f29-ffd608dbc990 91.7 100.0 93.8 95.8 91.7 \n26 cd8d6796-3a88-417a-bfbf-9a51dd62df79 95.0 100.0 75.0 79.2 87.5 \n27 a82083e2-1c85-4ca9-b13a-c861f2e13952 86.7 100.0 87.5 87.5 95.8 \n29 5b7711a0-285e-4b58-9bc1-019e4f5adaad 98.3 100.0 100.0 100.0 95.8 \n31 04c86c56-5b4a-435c-936f-b6b05c550e91 91.7 100.0 100.0 100.0 100.0 \n32 1285f99d-d7a7-4188-ba10-90d993a19e4c 100.0 100.0 100.0 100.0 95.8 \n33 e3bb61b3-bcca-435c-90a4-ba404fa38b3b 95.0 93.9 100.0 87.5 100.0 \n34 d756abe5-3e74-4ec1-9bd7-ae503d9783a3 100.0 100.0 100.0 100.0 87.5 \n36 66bbc0c6-fbb2-48bc-b341-3388ae28984c 95.0 100.0 81.3 91.7 83.3 \n\n Set5 Set6 Set7 Set8 ... set5Adj set9Adj set13Adj set23Adj \\\n23 90 92 82.4 94.1 ... 0 0 0 0 \n24 90 100 94.1 88.2 ... 0 0 0 0 \n26 100 88 100.0 88.2 ... 0 0 0 0 \n27 100 92 82.4 76.5 ... 0 0 0 0 \n29 95 96 100.0 94.1 ... 0 0 0 0 \n31 100 100 100.0 94.1 ... 0 0 0 0 \n32 100 92 100.0 94.1 ... 0 0 0 0 \n33 90 96 94.1 82.4 ... 0 0 0 0 \n34 95 100 100.0 88.2 ... 0 0 0 0 \n36 90 96 70.6 76.5 ... 0 0 0 0 \n\n Cred.Code hw final course letter Comment \n23 85.876 65.714286 75.795143 C NaN \n24 96.440 65.714286 81.077143 B- NaN \n26 54.536 42.857143 0.000000 F NaN \n27 70.076 62.857143 66.466571 D NaN \n29 100.995 88.571429 94.783214 A NaN \n31 99.496 91.428571 95.462286 A NaN \n32 98.000 85.714286 91.857143 A- NaN \n33 89.712 74.285714 81.998857 B- NaN \n34 92.160 48.571429 0.000000 F NaN \n36 96.725 45.714286 0.000000 F NaN \n\n[10 rows x 73 columns]",
"html": "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>userId</th>\n <th>Set0</th>\n <th>Set1</th>\n <th>Set2</th>\n <th>Set3</th>\n <th>Set4</th>\n <th>Set5</th>\n <th>Set6</th>\n <th>Set7</th>\n <th>Set8</th>\n <th>...</th>\n <th>set5Adj</th>\n <th>set9Adj</th>\n <th>set13Adj</th>\n <th>set23Adj</th>\n <th>Cred.Code</th>\n <th>hw</th>\n <th>final</th>\n <th>course</th>\n <th>letter</th>\n <th>Comment</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>23</th>\n <td> 2ff7392e-d3de-48d2-b5bb-642a8e741ef1</td>\n <td> 95.0</td>\n <td> 100.0</td>\n <td> 100.0</td>\n <td> 91.7</td>\n <td> 87.5</td>\n <td> 90</td>\n <td> 92</td>\n <td> 82.4</td>\n <td> 94.1</td>\n <td>...</td>\n <td> 0</td>\n <td> 0</td>\n <td> 0</td>\n <td> 0</td>\n <td> </td>\n <td> 85.876</td>\n <td> 65.714286</td>\n <td> 75.795143</td>\n <td> C</td>\n <td> NaN</td>\n </tr>\n <tr>\n <th>24</th>\n <td> 9eb1fc4f-28a3-44a5-9f29-ffd608dbc990</td>\n <td> 91.7</td>\n <td> 100.0</td>\n <td> 93.8</td>\n <td> 95.8</td>\n <td> 91.7</td>\n <td> 90</td>\n <td> 100</td>\n <td> 94.1</td>\n <td> 88.2</td>\n <td>...</td>\n <td> 0</td>\n <td> 0</td>\n <td> 0</td>\n <td> 0</td>\n <td> </td>\n <td> 96.440</td>\n <td> 65.714286</td>\n <td> 81.077143</td>\n <td> B-</td>\n <td> NaN</td>\n </tr>\n <tr>\n <th>26</th>\n <td> cd8d6796-3a88-417a-bfbf-9a51dd62df79</td>\n <td> 95.0</td>\n <td> 100.0</td>\n <td> 75.0</td>\n <td> 79.2</td>\n <td> 87.5</td>\n <td> 100</td>\n <td> 88</td>\n <td> 100.0</td>\n <td> 88.2</td>\n <td>...</td>\n <td> 0</td>\n <td> 0</td>\n <td> 0</td>\n <td> 0</td>\n <td> </td>\n <td> 54.536</td>\n <td> 42.857143</td>\n <td> 0.000000</td>\n <td> F</td>\n <td> NaN</td>\n </tr>\n <tr>\n <th>27</th>\n <td> a82083e2-1c85-4ca9-b13a-c861f2e13952</td>\n <td> 86.7</td>\n <td> 100.0</td>\n <td> 87.5</td>\n <td> 87.5</td>\n <td> 95.8</td>\n <td> 100</td>\n <td> 92</td>\n <td> 82.4</td>\n <td> 76.5</td>\n <td>...</td>\n <td> 0</td>\n <td> 0</td>\n <td> 0</td>\n <td> 0</td>\n <td> </td>\n <td> 70.076</td>\n <td> 62.857143</td>\n <td> 66.466571</td>\n <td> D</td>\n <td> NaN</td>\n </tr>\n <tr>\n <th>29</th>\n <td> 5b7711a0-285e-4b58-9bc1-019e4f5adaad</td>\n <td> 98.3</td>\n <td> 100.0</td>\n <td> 100.0</td>\n <td> 100.0</td>\n <td> 95.8</td>\n <td> 95</td>\n <td> 96</td>\n <td> 100.0</td>\n <td> 94.1</td>\n <td>...</td>\n <td> 0</td>\n <td> 0</td>\n <td> 0</td>\n <td> 0</td>\n <td> </td>\n <td> 100.995</td>\n <td> 88.571429</td>\n <td> 94.783214</td>\n <td> A</td>\n <td> NaN</td>\n </tr>\n <tr>\n <th>31</th>\n <td> 04c86c56-5b4a-435c-936f-b6b05c550e91</td>\n <td> 91.7</td>\n <td> 100.0</td>\n <td> 100.0</td>\n <td> 100.0</td>\n <td> 100.0</td>\n <td> 100</td>\n <td> 100</td>\n <td> 100.0</td>\n <td> 94.1</td>\n <td>...</td>\n <td> 0</td>\n <td> 0</td>\n <td> 0</td>\n <td> 0</td>\n <td> </td>\n <td> 99.496</td>\n <td> 91.428571</td>\n <td> 95.462286</td>\n <td> A</td>\n <td> NaN</td>\n </tr>\n <tr>\n <th>32</th>\n <td> 1285f99d-d7a7-4188-ba10-90d993a19e4c</td>\n <td> 100.0</td>\n <td> 100.0</td>\n <td> 100.0</td>\n <td> 100.0</td>\n <td> 95.8</td>\n <td> 100</td>\n <td> 92</td>\n <td> 100.0</td>\n <td> 94.1</td>\n <td>...</td>\n <td> 0</td>\n <td> 0</td>\n <td> 0</td>\n <td> 0</td>\n <td> </td>\n <td> 98.000</td>\n <td> 85.714286</td>\n <td> 91.857143</td>\n <td> A-</td>\n <td> NaN</td>\n </tr>\n <tr>\n <th>33</th>\n <td> e3bb61b3-bcca-435c-90a4-ba404fa38b3b</td>\n <td> 95.0</td>\n <td> 93.9</td>\n <td> 100.0</td>\n <td> 87.5</td>\n <td> 100.0</td>\n <td> 90</td>\n <td> 96</td>\n <td> 94.1</td>\n <td> 82.4</td>\n <td>...</td>\n <td> 0</td>\n <td> 0</td>\n <td> 0</td>\n <td> 0</td>\n <td> </td>\n <td> 89.712</td>\n <td> 74.285714</td>\n <td> 81.998857</td>\n <td> B-</td>\n <td> NaN</td>\n </tr>\n <tr>\n <th>34</th>\n <td> d756abe5-3e74-4ec1-9bd7-ae503d9783a3</td>\n <td> 100.0</td>\n <td> 100.0</td>\n <td> 100.0</td>\n <td> 100.0</td>\n <td> 87.5</td>\n <td> 95</td>\n <td> 100</td>\n <td> 100.0</td>\n <td> 88.2</td>\n <td>...</td>\n <td> 0</td>\n <td> 0</td>\n <td> 0</td>\n <td> 0</td>\n <td> </td>\n <td> 92.160</td>\n <td> 48.571429</td>\n <td> 0.000000</td>\n <td> F</td>\n <td> NaN</td>\n </tr>\n <tr>\n <th>36</th>\n <td> 66bbc0c6-fbb2-48bc-b341-3388ae28984c</td>\n <td> 95.0</td>\n <td> 100.0</td>\n <td> 81.3</td>\n <td> 91.7</td>\n <td> 83.3</td>\n <td> 90</td>\n <td> 96</td>\n <td> 70.6</td>\n <td> 76.5</td>\n <td>...</td>\n <td> 0</td>\n <td> 0</td>\n <td> 0</td>\n <td> 0</td>\n <td> </td>\n <td> 96.725</td>\n <td> 45.714286</td>\n <td> 0.000000</td>\n <td> F</td>\n <td> NaN</td>\n </tr>\n </tbody>\n</table>\n<p>10 rows × 73 columns</p>\n</div>",
"output_type": "pyout",
"metadata": {},
"prompt_number": 7
}
],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "code",
"input": "#events_coldict = events.to_dict()\n#events_rowdict = events.T.to_dict()\n#grades_coldict = grades.to_dict()\n#grades_rowdict = grades.T.to_dict()",
"outputs": [],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "code",
"input": "#events_rowdict[1378149]",
"outputs": [],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "code",
"input": "# Vincent's Timing Features for User\n\n# Based on panda's implementation of dayofweek\nday_of_week = {0: 'Monday',\n 1: 'Tuesday',\n 2: 'Wednesday',\n 3: 'Thursday',\n 4: 'Friday',\n 5: 'Saturday',\n 6: 'Sunday'}\n\n# calculate time features\nevents = events[(events.activityType != 'DISCUSS') & \n (events.eventType != 'OPENED') &\n (events.timeMinutes.apply(lambda x: pd.notnull(x)))]\ntotal_time = events.groupby('userId').timeMinutes.sum()\nday_time = events.groupby(['userId',events.updatedAt.apply(lambda x: day_of_week[x.dayofweek])]).timeMinutes.sum().unstack()\nevent_time = events.groupby(['userId','eventType']).timeMinutes.sum().unstack()\nactivity_time = events.groupby(['userId',events.activityType.apply(lambda x: 'WATCH' if x == 'LISTEN' else x)]).timeMinutes.sum().unstack()\n\n# create full dataframe\ntrain_features = pd.DataFrame(total_time).join(day_time).join(event_time).join(activity_time).fillna(0)\n\n#todo: add Jason's and Yu's features to \n\n# calculate percents and z-score columns\nfor feat in train_features.keys():\n if feat != 'timeMinutes':\n train_features[feat] = train_features[feat] / train_features.timeMinutes\n train_features[feat] = stats.mstats.zscore(train_features[feat])\n",
"prompt_number": 8,
"outputs": [],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "code",
"input": "train_features",
"prompt_number": 9,
"outputs": [
{
"text": " timeMinutes Friday Monday \\\nuserId \n00eb19af-5bf1-43a8-aee8-3d4f14caf48c -0.615060 0.103162 -0.021897 \n02545c6b-d4f0-4981-a7dd-fba4733cb04a 0.811030 0.159431 0.002769 \n03ad0a94-bbb6-4e23-9704-4de918908205 1.748468 0.182710 -0.006507 \n046ea471-170e-4864-a9f4-efa7a8b67f9d -0.275590 0.102414 -0.050901 \n04c86c56-5b4a-435c-936f-b6b05c550e91 -0.021496 -1.658701 -0.445216 \n06a81f6f-b3c6-4f30-b47d-f3a8787ad13e 0.525654 0.184255 0.029182 \n06e7e78b-fbed-46c7-9e13-c555944eb27c -0.603880 0.096838 -0.021979 \n077285d6-8bd6-44b1-8089-3997b9955d60 -0.453682 0.096069 -0.022960 \n07860536-3e17-4098-8965-9d37b9cad109 0.514473 0.293247 0.025135 \n088c6305-dc54-493a-a1bc-e4f4b894854d 0.588104 0.195601 0.003194 \n0b3c08b2-8724-4ed8-99d5-fe0eb58c25ac -0.247245 -0.023985 -0.029332 \n0b84116b-e9cf-4acf-905e-8b2824d7d9e4 -0.388521 0.092878 -0.030931 \n0b9c3aa4-202d-412f-aeb2-246c039ab265 -0.626579 0.108690 -0.021897 \n0c1abe46-860f-4aed-b8ca-4a4ebbe592c0 -0.148091 0.026934 -0.103507 \n0f614350-2741-4d0a-96ff-d594390eef7c -0.366048 0.043679 -0.033508 \n0fc9a23f-a41e-4a07-ba18-8f63cf37cee4 0.178166 0.179992 0.076610 \n109b39e6-72a6-4566-89e4-4589245d934b -0.236968 0.009776 -0.041237 \n10ff8082-8d29-454b-bf17-4e20327d8357 0.063654 1.164656 0.011686 \n11de38b8-8e60-4513-afa0-c302d9c8605c -0.531152 0.085783 -0.023760 \n12252f59-fcc8-4ddb-a2cb-19242c2d8a0d -0.159046 0.023565 -0.066768 \n1285f99d-d7a7-4188-ba10-90d993a19e4c 0.055636 1.303976 0.169619 \n135a07fb-7e5d-428c-8e66-db70a35209ae -0.610204 0.108690 -0.021897 \n142bb170-2099-47c2-8da5-06dc602bada1 -0.340300 0.094844 -0.027885 \n147fd7b8-422a-4c8e-b0d9-184e586edbe7 -0.558933 0.097059 -0.022045 \n14f18f7e-fe78-4076-9c25-4389095cc5a9 0.801317 0.174709 0.001967 \n1571d306-9ff5-4682-9b80-3e4d8a2c367d -0.475591 0.077965 -0.027476 \n15e005b7-769a-4c4f-b23b-6142dfc248b5 1.871675 0.174524 -0.007000 \n1720b76f-3f91-4645-bc1b-526eefc59433 -0.132620 -0.029374 -0.066678 \n1afe942c-803a-4ca6-bb8d-3156cb996b0a -0.506985 0.108690 -0.022733 \n1bb22f17-001d-4432-bcb8-a3bc4745bb8c -0.626240 0.108690 -0.022069 \n... ... ... ... \ne84f2337-ad65-4212-b2a2-d419604a4cdb -0.321327 0.063957 -0.034322 \ne8e81048-6a6a-4f6b-8ed4-8de3ebf7a30f -0.548205 0.108690 -0.025902 \ne9183123-1172-4923-b66a-47cc6a8141d0 -0.587392 0.103714 -0.021982 \ne95d8577-ebb5-44ac-9f7c-222df282977a 0.547110 0.198843 0.007780 \nea2690dc-0e67-4d12-99c5-4df9139abdb5 0.461735 0.225587 0.005269 \neb9a64d8-2c8e-4778-a0e9-b6e02415225c 0.150610 0.368466 0.054593 \nebf5316f-5bc5-4e9e-8d8e-0669e6b8e396 -0.256957 0.058786 -0.054299 \nebf9f274-c079-4b83-af60-e2f3e98ad736 -0.277058 0.030763 -0.039670 \nec43374b-90d3-4b95-9590-c1f5a731bee8 1.015208 0.213790 0.003150 \necc8cf17-6a91-475c-b492-86e60dc49cee -0.115116 0.019576 -0.114240 \ned17e643-a38c-4a70-80da-7303f25734bc -0.415398 0.104813 -0.023238 \nee9736df-6c77-4974-8baa-6d7e15a33573 1.514588 0.154250 -0.016970 \nf063868a-4943-4563-89b1-1e5bb68c6719 -0.457070 0.096685 -0.033853 \nf0c877cc-21b7-418c-a233-55c8cd146085 -0.265201 0.040097 -0.039994 \nf12be350-e5e5-403b-96d0-ad19e671357f -0.015849 -3.503807 -0.031343 \nf13130e9-f9c9-4121-a428-632878ee9b67 0.416449 0.229563 0.004807 \nf1a5c836-c9e8-4f51-91ad-b207e0419027 -0.627708 0.108690 -0.021897 \nf1fbbac5-d56c-4403-a825-35048ec6b09a -0.414947 0.075343 -0.028271 \nf2591f7f-bff7-4fe7-8b73-a0f192700dad -0.077961 -0.217208 -0.172438 \nf2ebb275-6530-4794-9257-8acba9222189 -0.473784 0.097989 -0.025706 \nf3150bdd-ffdc-4730-8b9f-42a78f875c62 0.005720 2.266934 1.027949 \nf3f56d52-2eda-4650-8660-c2a7ab663e01 -0.422739 0.106714 -0.036358 \nf5e06fd2-8706-41e5-bb6a-dfd5bd388566 -0.257295 -0.035260 -0.042554 \nf5e3e743-ab51-447d-b2ed-d5ee66bf3e19 0.203123 0.153908 0.085923 \nf8a30f58-b0fd-4f8e-84c0-79c3fd86549f 0.070656 0.202387 0.047442 \nfa6184cd-736d-4868-a70c-5bf69cdfd190 -0.180051 -0.006585 -0.059455 \nfc361f71-275a-43f5-b36b-e2acae6e5256 -0.377228 0.049400 -0.030298 \nfd7befd7-84d4-4688-badb-e1cbd63cabd6 -0.309244 0.048902 -0.033678 \nff07c783-072b-407c-91ca-a9349dd778f0 0.287257 0.261709 0.019424 \nff67d643-5010-41b9-9179-4e03f8337dfc 1.064672 0.167509 -0.001287 \n\n Saturday Sunday Thursday Tuesday \\\nuserId \n00eb19af-5bf1-43a8-aee8-3d4f14caf48c -0.050481 -0.057512 0.062713 -0.053057 \n02545c6b-d4f0-4981-a7dd-fba4733cb04a -0.025892 -0.051454 0.080030 0.003070 \n03ad0a94-bbb6-4e23-9704-4de918908205 -0.033025 -0.050773 0.111339 -0.033269 \n046ea471-170e-4864-a9f4-efa7a8b67f9d -0.050481 -0.058045 0.025002 -0.089809 \n04c86c56-5b4a-435c-936f-b6b05c550e91 -0.409695 -0.232107 -1.386441 -0.220836 \n06a81f6f-b3c6-4f30-b47d-f3a8787ad13e -0.043715 -0.047988 0.127185 -0.027319 \n06e7e78b-fbed-46c7-9e13-c555944eb27c -0.050481 -0.057512 0.062268 -0.053831 \n077285d6-8bd6-44b1-8089-3997b9955d60 -0.050917 -0.059709 0.034893 -0.061419 \n07860536-3e17-4098-8965-9d37b9cad109 -0.022502 -0.053330 0.105515 -0.031990 \n088c6305-dc54-493a-a1bc-e4f4b894854d -0.044071 -0.044322 0.126549 -0.011321 \n0b3c08b2-8724-4ed8-99d5-fe0eb58c25ac -0.050481 -0.073374 0.005690 -0.091793 \n0b84116b-e9cf-4acf-905e-8b2824d7d9e4 -0.050481 -0.059993 0.016126 -0.058998 \n0b9c3aa4-202d-412f-aeb2-246c039ab265 -0.050481 -0.057512 0.062713 -0.053057 \n0c1abe46-860f-4aed-b8ca-4a4ebbe592c0 -0.051405 -0.058211 -0.185899 -0.070786 \n0f614350-2741-4d0a-96ff-d594390eef7c -0.050481 -0.058033 0.020016 -0.054487 \n0fc9a23f-a41e-4a07-ba18-8f63cf37cee4 -0.024375 -0.025257 0.179526 0.033473 \n109b39e6-72a6-4566-89e4-4589245d934b -0.052854 -0.062270 -0.028060 -0.088662 \n10ff8082-8d29-454b-bf17-4e20327d8357 0.497550 -0.001717 0.213324 0.049546 \n11de38b8-8e60-4513-afa0-c302d9c8605c -0.050481 -0.059306 0.059073 -0.056593 \n12252f59-fcc8-4ddb-a2cb-19242c2d8a0d -0.072080 -0.078095 -0.000942 -0.114859 \n1285f99d-d7a7-4188-ba10-90d993a19e4c -0.004309 0.003387 0.676201 0.058455 \n135a07fb-7e5d-428c-8e66-db70a35209ae -0.050481 -0.057512 0.061481 -0.053088 \n142bb170-2099-47c2-8da5-06dc602bada1 -0.070402 -0.061850 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\n15e005b7-769a-4c4f-b23b-6142dfc248b5 0.053689 -0.012103 0.005466 \n1720b76f-3f91-4645-bc1b-526eefc59433 -0.040430 -0.083307 -0.000648 \n1afe942c-803a-4ca6-bb8d-3156cb996b0a 0.000216 -0.032078 -0.000648 \n1bb22f17-001d-4432-bcb8-a3bc4745bb8c 0.007603 -0.029046 -0.000648 \n... ... ... ... \ne84f2337-ad65-4212-b2a2-d419604a4cdb -0.004900 -0.043667 -0.000648 \ne8e81048-6a6a-4f6b-8ed4-8de3ebf7a30f 0.001883 -0.030986 -0.000648 \ne9183123-1172-4923-b66a-47cc6a8141d0 0.004156 -0.029006 -0.008629 \ne95d8577-ebb5-44ac-9f7c-222df282977a 0.073681 -0.005380 0.101167 \nea2690dc-0e67-4d12-99c5-4df9139abdb5 0.147617 -0.010788 0.338282 \neb9a64d8-2c8e-4778-a0e9-b6e02415225c 0.292568 0.004654 0.385687 \nebf5316f-5bc5-4e9e-8d8e-0669e6b8e396 -0.011219 -0.052681 -0.023185 \nebf9f274-c079-4b83-af60-e2f3e98ad736 -0.007290 -0.047464 -0.000648 \nec43374b-90d3-4b95-9590-c1f5a731bee8 0.102174 -0.019139 0.242191 \necc8cf17-6a91-475c-b492-86e60dc49cee -0.181372 -0.085218 -0.053350 \ned17e643-a38c-4a70-80da-7303f25734bc 0.006656 -0.037637 -0.000648 \nee9736df-6c77-4974-8baa-6d7e15a33573 0.152287 -0.022907 0.000535 \nf063868a-4943-4563-89b1-1e5bb68c6719 -0.010251 -0.033885 -0.000648 \nf0c877cc-21b7-418c-a233-55c8cd146085 -0.044441 -0.052338 -0.000648 \nf12be350-e5e5-403b-96d0-ad19e671357f -0.266772 -0.666647 -0.774901 \nf13130e9-f9c9-4121-a428-632878ee9b67 0.181173 -0.013334 0.226148 \nf1a5c836-c9e8-4f51-91ad-b207e0419027 0.007721 -0.029006 -0.000648 \nf1fbbac5-d56c-4403-a825-35048ec6b09a -0.005749 -0.035858 -0.000648 \nf2591f7f-bff7-4fe7-8b73-a0f192700dad -0.202064 -0.121897 -0.324301 \nf2ebb275-6530-4794-9257-8acba9222189 0.006943 -0.034450 -0.000648 \nf3150bdd-ffdc-4730-8b9f-42a78f875c62 1.809825 1.466127 0.312702 \nf3f56d52-2eda-4650-8660-c2a7ab663e01 -0.016315 -0.034870 -0.082841 \nf5e06fd2-8706-41e5-bb6a-dfd5bd388566 -0.008041 -0.050560 -0.002792 \nf5e3e743-ab51-447d-b2ed-d5ee66bf3e19 0.151187 0.019828 0.071305 \nf8a30f58-b0fd-4f8e-84c0-79c3fd86549f 0.260488 0.132363 0.069604 \nfa6184cd-736d-4868-a70c-5bf69cdfd190 -0.044291 -0.067589 -0.000648 \nfc361f71-275a-43f5-b36b-e2acae6e5256 -0.020154 -0.037872 -0.004304 \nfd7befd7-84d4-4688-badb-e1cbd63cabd6 0.007721 -0.046584 -0.000648 \nff07c783-072b-407c-91ca-a9349dd778f0 0.060755 0.018080 -0.000648 \nff67d643-5010-41b9-9179-4e03f8337dfc 0.092633 -0.011899 0.000517 \n\n READ WATCH \nuserId \n00eb19af-5bf1-43a8-aee8-3d4f14caf48c 0.022806 -0.032960 \n02545c6b-d4f0-4981-a7dd-fba4733cb04a 0.024282 -0.032960 \n03ad0a94-bbb6-4e23-9704-4de918908205 0.168398 -0.015256 \n046ea471-170e-4864-a9f4-efa7a8b67f9d -0.003513 -0.151424 \n04c86c56-5b4a-435c-936f-b6b05c550e91 -0.639883 -0.195625 \n06a81f6f-b3c6-4f30-b47d-f3a8787ad13e 0.062923 -0.028969 \n06e7e78b-fbed-46c7-9e13-c555944eb27c 0.017915 -0.033325 \n077285d6-8bd6-44b1-8089-3997b9955d60 0.008632 -0.033609 \n07860536-3e17-4098-8965-9d37b9cad109 0.182544 -0.005058 \n088c6305-dc54-493a-a1bc-e4f4b894854d 0.123065 0.047275 \n0b3c08b2-8724-4ed8-99d5-fe0eb58c25ac -0.006606 -0.125258 \n0b84116b-e9cf-4acf-905e-8b2824d7d9e4 0.022806 -0.033054 \n0b9c3aa4-202d-412f-aeb2-246c039ab265 0.022508 -0.032960 \n0c1abe46-860f-4aed-b8ca-4a4ebbe592c0 0.008794 -0.032960 \n0f614350-2741-4d0a-96ff-d594390eef7c 0.006208 -0.032960 \n0fc9a23f-a41e-4a07-ba18-8f63cf37cee4 0.504423 -0.032547 \n109b39e6-72a6-4566-89e4-4589245d934b -0.158799 -0.032960 \n10ff8082-8d29-454b-bf17-4e20327d8357 0.574943 0.100612 \n11de38b8-8e60-4513-afa0-c302d9c8605c 0.016295 -0.033583 \n12252f59-fcc8-4ddb-a2cb-19242c2d8a0d 0.020220 -0.102618 \n1285f99d-d7a7-4188-ba10-90d993a19e4c 0.039271 -0.032960 \n135a07fb-7e5d-428c-8e66-db70a35209ae 0.018670 -0.033261 \n142bb170-2099-47c2-8da5-06dc602bada1 0.015006 -0.034798 \n147fd7b8-422a-4c8e-b0d9-184e586edbe7 0.019830 -0.032960 \n14f18f7e-fe78-4076-9c25-4389095cc5a9 0.146197 0.073972 \n1571d306-9ff5-4682-9b80-3e4d8a2c367d 0.011525 -0.056642 \n15e005b7-769a-4c4f-b23b-6142dfc248b5 0.078070 -0.030934 \n1720b76f-3f91-4645-bc1b-526eefc59433 -0.011729 -0.144807 \n1afe942c-803a-4ca6-bb8d-3156cb996b0a 0.013182 -0.032960 \n1bb22f17-001d-4432-bcb8-a3bc4745bb8c 0.022806 -0.032960 \n... ... ... \ne84f2337-ad65-4212-b2a2-d419604a4cdb 0.007389 -0.033418 \ne8e81048-6a6a-4f6b-8ed4-8de3ebf7a30f 0.018066 -0.033094 \ne9183123-1172-4923-b66a-47cc6a8141d0 0.016250 -0.040291 \ne95d8577-ebb5-44ac-9f7c-222df282977a 0.103480 0.029741 \nea2690dc-0e67-4d12-99c5-4df9139abdb5 0.133701 0.079358 \neb9a64d8-2c8e-4778-a0e9-b6e02415225c 0.402503 0.157904 \nebf5316f-5bc5-4e9e-8d8e-0669e6b8e396 0.016622 -0.032960 \nebf9f274-c079-4b83-af60-e2f3e98ad736 0.008434 -0.064711 \nec43374b-90d3-4b95-9590-c1f5a731bee8 0.131470 0.027297 \necc8cf17-6a91-475c-b492-86e60dc49cee -0.160540 -0.035837 \ned17e643-a38c-4a70-80da-7303f25734bc 0.021906 -0.032960 \nee9736df-6c77-4974-8baa-6d7e15a33573 0.197459 -0.032595 \nf063868a-4943-4563-89b1-1e5bb68c6719 0.008328 -0.032960 \nf0c877cc-21b7-418c-a233-55c8cd146085 0.022806 -0.032960 \nf12be350-e5e5-403b-96d0-ad19e671357f -0.073913 -0.042249 \nf13130e9-f9c9-4121-a428-632878ee9b67 0.207664 0.060461 \nf1a5c836-c9e8-4f51-91ad-b207e0419027 0.022806 -0.032960 \nf1fbbac5-d56c-4403-a825-35048ec6b09a 0.007398 -0.038903 \nf2591f7f-bff7-4fe7-8b73-a0f192700dad -0.190368 -0.051372 \nf2ebb275-6530-4794-9257-8acba9222189 0.021820 -0.032960 \nf3150bdd-ffdc-4730-8b9f-42a78f875c62 2.464061 2.618014 \nf3f56d52-2eda-4650-8660-c2a7ab663e01 0.010690 -0.033221 \nf5e06fd2-8706-41e5-bb6a-dfd5bd388566 0.003552 -0.052129 \nf5e3e743-ab51-447d-b2ed-d5ee66bf3e19 0.180094 0.038797 \nf8a30f58-b0fd-4f8e-84c0-79c3fd86549f 0.077576 -0.019415 \nfa6184cd-736d-4868-a70c-5bf69cdfd190 -0.009277 -0.043385 \nfc361f71-275a-43f5-b36b-e2acae6e5256 0.001596 -0.037350 \nfd7befd7-84d4-4688-badb-e1cbd63cabd6 0.022806 -0.032960 \nff07c783-072b-407c-91ca-a9349dd778f0 0.093417 -0.032960 \nff67d643-5010-41b9-9179-4e03f8337dfc 0.096501 0.013054 \n\n[300 rows x 15 columns]",
"html": "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>timeMinutes</th>\n <th>Friday</th>\n <th>Monday</th>\n <th>Saturday</th>\n <th>Sunday</th>\n <th>Thursday</th>\n <th>Tuesday</th>\n <th>Wednesday</th>\n <th>CLOSED</th>\n <th>SUSPENDED</th>\n <th>WORKED</th>\n <th>ASSIGNMENT</th>\n <th>PRACTICE</th>\n <th>READ</th>\n <th>WATCH</th>\n </tr>\n <tr>\n <th>userId</th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>00eb19af-5bf1-43a8-aee8-3d4f14caf48c</th>\n <td>-0.615060</td>\n <td> 0.103162</td>\n <td>-0.021897</td>\n <td>-0.050481</td>\n <td>-0.057512</td>\n <td> 0.062713</td>\n <td>-0.053057</td>\n <td> 0.049235</td>\n <td>-0.027586</td>\n <td>-0.067473</td>\n <td> 0.007721</td>\n <td>-0.029357</td>\n <td>-0.000648</td>\n <td> 0.022806</td>\n <td>-0.032960</td>\n </tr>\n <tr>\n <th>02545c6b-d4f0-4981-a7dd-fba4733cb04a</th>\n <td> 0.811030</td>\n <td> 0.159431</td>\n <td> 0.002769</td>\n <td>-0.025892</td>\n <td>-0.051454</td>\n <td> 0.080030</td>\n <td> 0.003070</td>\n <td> 0.089050</td>\n <td>-0.016276</td>\n <td>-0.067473</td>\n <td> 0.156811</td>\n <td> 0.001121</td>\n <td>-0.000648</td>\n <td> 0.024282</td>\n <td>-0.032960</td>\n </tr>\n <tr>\n <th>03ad0a94-bbb6-4e23-9704-4de918908205</th>\n <td> 1.748468</td>\n <td> 0.182710</td>\n <td>-0.006507</td>\n <td>-0.033025</td>\n <td>-0.050773</td>\n <td> 0.111339</td>\n <td>-0.033269</td>\n <td> 0.090860</td>\n <td>-0.020279</td>\n <td>-0.053459</td>\n <td> 0.128716</td>\n <td>-0.022557</td>\n <td> 0.057155</td>\n <td> 0.168398</td>\n <td>-0.015256</td>\n </tr>\n <tr>\n <th>046ea471-170e-4864-a9f4-efa7a8b67f9d</th>\n <td>-0.275590</td>\n <td> 0.102414</td>\n <td>-0.050901</td>\n <td>-0.050481</td>\n <td>-0.058045</td>\n <td> 0.025002</td>\n <td>-0.089809</td>\n <td> 0.015596</td>\n <td>-0.044330</td>\n <td>-0.120930</td>\n <td>-0.014647</td>\n <td>-0.041253</td>\n <td>-0.046677</td>\n <td>-0.003513</td>\n <td>-0.151424</td>\n </tr>\n <tr>\n <th>04c86c56-5b4a-435c-936f-b6b05c550e91</th>\n <td>-0.021496</td>\n <td>-1.658701</td>\n <td>-0.445216</td>\n <td>-0.409695</td>\n <td>-0.232107</td>\n <td>-1.386441</td>\n <td>-0.220836</td>\n <td>-0.586308</td>\n <td>-0.439764</td>\n <td>-0.241755</td>\n <td>-0.514375</td>\n <td>-0.433513</td>\n <td>-0.000648</td>\n <td>-0.639883</td>\n <td>-0.195625</td>\n </tr>\n <tr>\n <th>06a81f6f-b3c6-4f30-b47d-f3a8787ad13e</th>\n <td> 0.525654</td>\n <td> 0.184255</td>\n <td> 0.029182</td>\n <td>-0.043715</td>\n <td>-0.047988</td>\n <td> 0.127185</td>\n <td>-0.027319</td>\n <td> 0.122158</td>\n <td>-0.006273</td>\n <td>-0.061983</td>\n <td> 0.134674</td>\n <td> 0.004100</td>\n <td>-0.000648</td>\n <td> 0.062923</td>\n <td>-0.028969</td>\n </tr>\n <tr>\n <th>06e7e78b-fbed-46c7-9e13-c555944eb27c</th>\n <td>-0.603880</td>\n <td> 0.096838</td>\n <td>-0.021979</td>\n <td>-0.050481</td>\n <td>-0.057512</td>\n <td> 0.062268</td>\n <td>-0.053831</td>\n <td> 0.049971</td>\n <td>-0.027311</td>\n <td>-0.067473</td>\n <td> 0.003179</td>\n <td>-0.029038</td>\n <td>-0.009096</td>\n <td> 0.017915</td>\n <td>-0.033325</td>\n </tr>\n <tr>\n <th>077285d6-8bd6-44b1-8089-3997b9955d60</th>\n <td>-0.453682</td>\n <td> 0.096069</td>\n <td>-0.022960</td>\n <td>-0.050917</td>\n <td>-0.059709</td>\n <td> 0.034893</td>\n <td>-0.061419</td>\n <td> 0.039972</td>\n <td>-0.032335</td>\n <td>-0.068365</td>\n <td>-0.003624</td>\n <td>-0.034058</td>\n <td>-0.000648</td>\n <td> 0.008632</td>\n <td>-0.033609</td>\n </tr>\n <tr>\n <th>07860536-3e17-4098-8965-9d37b9cad109</th>\n <td> 0.514473</td>\n <td> 0.293247</td>\n <td> 0.025135</td>\n <td>-0.022502</td>\n <td>-0.053330</td>\n <td> 0.105515</td>\n <td>-0.031990</td>\n <td> 0.118801</td>\n <td>-0.012696</td>\n <td>-0.047300</td>\n <td> 0.182208</td>\n <td>-0.009475</td>\n <td> 0.030172</td>\n <td> 0.182544</td>\n <td>-0.005058</td>\n </tr>\n <tr>\n <th>088c6305-dc54-493a-a1bc-e4f4b894854d</th>\n <td> 0.588104</td>\n <td> 0.195601</td>\n <td> 0.003194</td>\n <td>-0.044071</td>\n <td>-0.044322</td>\n <td> 0.126549</td>\n <td>-0.011321</td>\n <td> 0.114091</td>\n <td>-0.006519</td>\n <td>-0.026066</td>\n <td> 0.109507</td>\n <td>-0.010301</td>\n <td> 0.145415</td>\n <td> 0.123065</td>\n <td> 0.047275</td>\n </tr>\n <tr>\n <th>0b3c08b2-8724-4ed8-99d5-fe0eb58c25ac</th>\n <td>-0.247245</td>\n <td>-0.023985</td>\n <td>-0.029332</td>\n <td>-0.050481</td>\n <td>-0.073374</td>\n <td> 0.005690</td>\n <td>-0.091793</td>\n <td> 0.030288</td>\n <td>-0.048213</td>\n <td>-0.127673</td>\n <td>-0.017510</td>\n <td>-0.045674</td>\n <td>-0.124452</td>\n <td>-0.006606</td>\n <td>-0.125258</td>\n </tr>\n <tr>\n <th>0b84116b-e9cf-4acf-905e-8b2824d7d9e4</th>\n <td>-0.388521</td>\n <td> 0.092878</td>\n <td>-0.030931</td>\n <td>-0.050481</td>\n <td>-0.059993</td>\n <td> 0.016126</td>\n <td>-0.058998</td>\n <td> 0.031093</td>\n <td>-0.037889</td>\n <td>-0.067603</td>\n <td> 0.007721</td>\n <td>-0.039509</td>\n <td>-0.000648</td>\n <td> 0.022806</td>\n <td>-0.033054</td>\n </tr>\n <tr>\n <th>0b9c3aa4-202d-412f-aeb2-246c039ab265</th>\n <td>-0.626579</td>\n <td> 0.108690</td>\n <td>-0.021897</td>\n <td>-0.050481</td>\n <td>-0.057512</td>\n <td> 0.062713</td>\n <td>-0.053057</td>\n <td> 0.050360</td>\n <td>-0.027261</td>\n <td>-0.067473</td>\n <td> 0.007721</td>\n <td>-0.029006</td>\n <td>-0.000648</td>\n <td> 0.022508</td>\n <td>-0.032960</td>\n </tr>\n <tr>\n <th>0c1abe46-860f-4aed-b8ca-4a4ebbe592c0</th>\n <td>-0.148091</td>\n <td> 0.026934</td>\n <td>-0.103507</td>\n <td>-0.051405</td>\n <td>-0.058211</td>\n <td>-0.185899</td>\n <td>-0.070786</td>\n <td>-0.043603</td>\n <td>-0.078048</td>\n <td>-0.067473</td>\n <td>-0.032113</td>\n <td>-0.082841</td>\n <td>-0.000648</td>\n <td> 0.008794</td>\n <td>-0.032960</td>\n </tr>\n <tr>\n <th>0f614350-2741-4d0a-96ff-d594390eef7c</th>\n <td>-0.366048</td>\n <td> 0.043679</td>\n <td>-0.033508</td>\n <td>-0.050481</td>\n <td>-0.058033</td>\n <td> 0.020016</td>\n <td>-0.054487</td>\n <td> 0.019896</td>\n <td>-0.037875</td>\n <td>-0.067473</td>\n <td>-0.005373</td>\n <td>-0.039496</td>\n <td>-0.000648</td>\n <td> 0.006208</td>\n <td>-0.032960</td>\n </tr>\n <tr>\n <th>0fc9a23f-a41e-4a07-ba18-8f63cf37cee4</th>\n <td> 0.178166</td>\n <td> 0.179992</td>\n <td> 0.076610</td>\n <td>-0.024375</td>\n <td>-0.025257</td>\n <td> 0.179526</td>\n <td> 0.033473</td>\n <td> 0.138881</td>\n <td> 0.002340</td>\n <td>-0.067473</td>\n <td> 0.375490</td>\n <td>-0.002143</td>\n <td> 0.046559</td>\n <td> 0.504423</td>\n <td>-0.032547</td>\n </tr>\n <tr>\n <th>109b39e6-72a6-4566-89e4-4589245d934b</th>\n <td>-0.236968</td>\n <td> 0.009776</td>\n <td>-0.041237</td>\n <td>-0.052854</td>\n <td>-0.062270</td>\n <td>-0.028060</td>\n <td>-0.088662</td>\n <td> 0.013897</td>\n <td>-0.037590</td>\n <td>-0.067473</td>\n <td>-0.129507</td>\n <td>-0.038084</td>\n <td>-0.025086</td>\n <td>-0.158799</td>\n <td>-0.032960</td>\n </tr>\n <tr>\n <th>10ff8082-8d29-454b-bf17-4e20327d8357</th>\n <td> 0.063654</td>\n <td> 1.164656</td>\n <td> 0.011686</td>\n <td> 0.497550</td>\n <td>-0.001717</td>\n <td> 0.213324</td>\n <td> 0.049546</td>\n <td> 0.227438</td>\n <td> 0.066660</td>\n <td> 0.029559</td>\n <td> 0.690035</td>\n <td> 0.091941</td>\n <td> 0.036176</td>\n <td> 0.574943</td>\n <td> 0.100612</td>\n </tr>\n <tr>\n <th>11de38b8-8e60-4513-afa0-c302d9c8605c</th>\n <td>-0.531152</td>\n <td> 0.085783</td>\n <td>-0.023760</td>\n <td>-0.050481</td>\n <td>-0.059306</td>\n <td> 0.059073</td>\n <td>-0.056593</td>\n <td> 0.048183</td>\n <td>-0.028887</td>\n <td>-0.067759</td>\n <td>-0.003441</td>\n <td>-0.031107</td>\n <td>-0.021935</td>\n <td> 0.016295</td>\n <td>-0.033583</td>\n </tr>\n <tr>\n <th>12252f59-fcc8-4ddb-a2cb-19242c2d8a0d</th>\n <td>-0.159046</td>\n <td> 0.023565</td>\n <td>-0.066768</td>\n <td>-0.072080</td>\n <td>-0.078095</td>\n <td>-0.000942</td>\n <td>-0.114859</td>\n <td>-0.027293</td>\n <td>-0.074339</td>\n <td>-0.162649</td>\n <td> 0.005774</td>\n <td>-0.075388</td>\n <td>-0.000648</td>\n <td> 0.020220</td>\n <td>-0.102618</td>\n </tr>\n <tr>\n <th>1285f99d-d7a7-4188-ba10-90d993a19e4c</th>\n <td> 0.055636</td>\n <td> 1.303976</td>\n <td> 0.169619</td>\n <td>-0.004309</td>\n <td> 0.003387</td>\n <td> 0.676201</td>\n <td> 0.058455</td>\n <td> 0.306323</td>\n <td> 0.062751</td>\n <td>-0.067473</td>\n <td> 0.933364</td>\n <td> 0.178941</td>\n <td>-0.000648</td>\n <td> 0.039271</td>\n <td>-0.032960</td>\n </tr>\n <tr>\n <th>135a07fb-7e5d-428c-8e66-db70a35209ae</th>\n <td>-0.610204</td>\n <td> 0.108690</td>\n <td>-0.021897</td>\n <td>-0.050481</td>\n <td>-0.057512</td>\n <td> 0.061481</td>\n <td>-0.053088</td>\n <td> 0.047468</td>\n <td>-0.027262</td>\n <td>-0.067888</td>\n <td> 0.004337</td>\n <td>-0.029053</td>\n <td>-0.000648</td>\n <td> 0.018670</td>\n <td>-0.033261</td>\n </tr>\n <tr>\n <th>142bb170-2099-47c2-8da5-06dc602bada1</th>\n <td>-0.340300</td>\n <td> 0.094844</td>\n <td>-0.027885</td>\n <td>-0.070402</td>\n <td>-0.061850</td>\n <td> 0.026728</td>\n <td>-0.079526</td>\n <td> 0.046825</td>\n <td>-0.040768</td>\n <td>-0.068663</td>\n <td>-0.000166</td>\n <td>-0.042521</td>\n <td>-0.000648</td>\n <td> 0.015006</td>\n <td>-0.034798</td>\n </tr>\n <tr>\n <th>147fd7b8-422a-4c8e-b0d9-184e586edbe7</th>\n <td>-0.558933</td>\n <td> 0.097059</td>\n <td>-0.022045</td>\n <td>-0.050481</td>\n <td>-0.057512</td>\n <td> 0.055314</td>\n <td>-0.053057</td>\n <td> 0.041399</td>\n <td>-0.028815</td>\n <td>-0.067473</td>\n <td> 0.003605</td>\n <td>-0.030799</td>\n <td>-0.000648</td>\n <td> 0.019830</td>\n <td>-0.032960</td>\n </tr>\n <tr>\n <th>14f18f7e-fe78-4076-9c25-4389095cc5a9</th>\n <td> 0.801317</td>\n <td> 0.174709</td>\n <td> 0.001967</td>\n <td>-0.040769</td>\n <td>-0.051815</td>\n <td> 0.199813</td>\n <td>-0.030239</td>\n <td> 0.090166</td>\n <td>-0.014496</td>\n <td> 0.035573</td>\n <td> 0.114595</td>\n <td>-0.018419</td>\n <td> 0.108787</td>\n <td> 0.146197</td>\n <td> 0.073972</td>\n </tr>\n <tr>\n <th>1571d306-9ff5-4682-9b80-3e4d8a2c367d</th>\n <td>-0.475591</td>\n <td> 0.077965</td>\n <td>-0.027476</td>\n <td>-0.052367</td>\n <td>-0.060077</td>\n <td> 0.054864</td>\n <td>-0.055808</td>\n <td> 0.043488</td>\n <td>-0.031824</td>\n <td>-0.077798</td>\n <td> 0.003597</td>\n <td>-0.031823</td>\n <td>-0.017753</td>\n <td> 0.011525</td>\n <td>-0.056642</td>\n </tr>\n <tr>\n <th>15e005b7-769a-4c4f-b23b-6142dfc248b5</th>\n <td> 1.871675</td>\n <td> 0.174524</td>\n <td>-0.007000</td>\n <td>-0.046640</td>\n <td>-0.041211</td>\n <td> 0.134279</td>\n <td>-0.045500</td>\n <td> 0.084463</td>\n <td>-0.010271</td>\n <td>-0.065498</td>\n <td> 0.053689</td>\n <td>-0.012103</td>\n <td> 0.005466</td>\n <td> 0.078070</td>\n <td>-0.030934</td>\n </tr>\n <tr>\n <th>1720b76f-3f91-4645-bc1b-526eefc59433</th>\n <td>-0.132620</td>\n <td>-0.029374</td>\n <td>-0.066678</td>\n <td>-0.056785</td>\n <td>-0.079568</td>\n <td>-0.144840</td>\n <td>-0.108856</td>\n <td>-0.059559</td>\n <td>-0.080776</td>\n <td>-0.190012</td>\n <td>-0.040430</td>\n <td>-0.083307</td>\n <td>-0.000648</td>\n <td>-0.011729</td>\n <td>-0.144807</td>\n </tr>\n <tr>\n <th>1afe942c-803a-4ca6-bb8d-3156cb996b0a</th>\n <td>-0.506985</td>\n <td> 0.108690</td>\n <td>-0.022733</td>\n <td>-0.050481</td>\n <td>-0.057512</td>\n <td> 0.036546</td>\n <td>-0.059360</td>\n <td> 0.045107</td>\n <td>-0.030359</td>\n <td>-0.067473</td>\n <td> 0.000216</td>\n <td>-0.032078</td>\n <td>-0.000648</td>\n <td> 0.013182</td>\n <td>-0.032960</td>\n </tr>\n <tr>\n <th>1bb22f17-001d-4432-bcb8-a3bc4745bb8c</th>\n <td>-0.626240</td>\n <td> 0.108690</td>\n <td>-0.022069</td>\n <td>-0.050481</td>\n <td>-0.057512</td>\n <td> 0.062713</td>\n <td>-0.053057</td>\n <td> 0.050605</td>\n <td>-0.027255</td>\n <td>-0.067473</td>\n <td> 0.007603</td>\n <td>-0.029046</td>\n <td>-0.000648</td>\n <td> 0.022806</td>\n <td>-0.032960</td>\n </tr>\n <tr>\n <th>...</th>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n </tr>\n <tr>\n <th>e84f2337-ad65-4212-b2a2-d419604a4cdb</th>\n <td>-0.321327</td>\n <td> 0.063957</td>\n <td>-0.034322</td>\n <td>-0.052515</td>\n <td>-0.063072</td>\n <td> 0.007555</td>\n <td>-0.060705</td>\n <td> 0.017338</td>\n <td>-0.042066</td>\n <td>-0.067630</td>\n <td>-0.004900</td>\n <td>-0.043667</td>\n <td>-0.000648</td>\n <td> 0.007389</td>\n <td>-0.033418</td>\n </tr>\n <tr>\n <th>e8e81048-6a6a-4f6b-8ed4-8de3ebf7a30f</th>\n <td>-0.548205</td>\n <td> 0.108690</td>\n <td>-0.025902</td>\n <td>-0.050481</td>\n <td>-0.057720</td>\n <td> 0.059676</td>\n <td>-0.053057</td>\n <td> 0.040632</td>\n <td>-0.028960</td>\n <td>-0.067657</td>\n <td> 0.001883</td>\n <td>-0.030986</td>\n <td>-0.000648</td>\n <td> 0.018066</td>\n <td>-0.033094</td>\n </tr>\n <tr>\n <th>e9183123-1172-4923-b66a-47cc6a8141d0</th>\n <td>-0.587392</td>\n <td> 0.103714</td>\n <td>-0.021982</td>\n <td>-0.051542</td>\n <td>-0.058754</td>\n <td> 0.059970</td>\n <td>-0.053662</td>\n <td> 0.049849</td>\n <td>-0.027736</td>\n <td>-0.072903</td>\n <td> 0.004156</td>\n <td>-0.029006</td>\n <td>-0.008629</td>\n <td> 0.016250</td>\n <td>-0.040291</td>\n </tr>\n <tr>\n <th>e95d8577-ebb5-44ac-9f7c-222df282977a</th>\n <td> 0.547110</td>\n <td> 0.198843</td>\n <td> 0.007780</td>\n <td>-0.045786</td>\n <td>-0.042428</td>\n <td> 0.176735</td>\n <td>-0.009458</td>\n <td> 0.080388</td>\n <td> 0.000053</td>\n <td>-0.037306</td>\n <td> 0.073681</td>\n <td>-0.005380</td>\n <td> 0.101167</td>\n <td> 0.103480</td>\n <td> 0.029741</td>\n </tr>\n <tr>\n <th>ea2690dc-0e67-4d12-99c5-4df9139abdb5</th>\n <td> 0.461735</td>\n <td> 0.225587</td>\n <td> 0.005269</td>\n <td>-0.048670</td>\n <td>-0.044169</td>\n <td> 0.239983</td>\n <td>-0.025072</td>\n <td> 0.104236</td>\n <td>-0.007062</td>\n <td>-0.011883</td>\n <td> 0.147617</td>\n <td>-0.010788</td>\n <td> 0.338282</td>\n <td> 0.133701</td>\n <td> 0.079358</td>\n </tr>\n <tr>\n <th>eb9a64d8-2c8e-4778-a0e9-b6e02415225c</th>\n <td> 0.150610</td>\n <td> 0.368466</td>\n <td> 0.054593</td>\n <td>-0.028076</td>\n <td>-0.048578</td>\n <td> 0.222294</td>\n <td> 0.042480</td>\n <td> 0.248580</td>\n <td> 0.017141</td>\n <td> 0.123120</td>\n <td> 0.292568</td>\n <td> 0.004654</td>\n <td> 0.385687</td>\n <td> 0.402503</td>\n <td> 0.157904</td>\n </tr>\n <tr>\n <th>ebf5316f-5bc5-4e9e-8d8e-0669e6b8e396</th>\n <td>-0.256957</td>\n <td> 0.058786</td>\n <td>-0.054299</td>\n <td>-0.050481</td>\n <td>-0.057512</td>\n <td> 0.013907</td>\n <td>-0.079565</td>\n <td>-0.001306</td>\n <td>-0.049712</td>\n <td>-0.067473</td>\n <td>-0.011219</td>\n <td>-0.052681</td>\n <td>-0.023185</td>\n <td> 0.016622</td>\n <td>-0.032960</td>\n </tr>\n <tr>\n <th>ebf9f274-c079-4b83-af60-e2f3e98ad736</th>\n <td>-0.277058</td>\n <td> 0.030763</td>\n <td>-0.039670</td>\n <td>-0.066940</td>\n <td>-0.069721</td>\n <td> 0.020841</td>\n <td>-0.061623</td>\n <td> 0.020535</td>\n <td>-0.045666</td>\n <td>-0.106211</td>\n <td>-0.007290</td>\n <td>-0.047464</td>\n <td>-0.000648</td>\n <td> 0.008434</td>\n <td>-0.064711</td>\n </tr>\n <tr>\n <th>ec43374b-90d3-4b95-9590-c1f5a731bee8</th>\n <td> 1.015208</td>\n <td> 0.213790</td>\n <td> 0.003150</td>\n <td>-0.035509</td>\n <td>-0.054228</td>\n <td> 0.132335</td>\n <td>-0.034319</td>\n <td> 0.102226</td>\n <td>-0.013072</td>\n <td>-0.032615</td>\n <td> 0.102174</td>\n <td>-0.019139</td>\n <td> 0.242191</td>\n <td> 0.131470</td>\n <td> 0.027297</td>\n </tr>\n <tr>\n <th>ecc8cf17-6a91-475c-b492-86e60dc49cee</th>\n <td>-0.115116</td>\n <td> 0.019576</td>\n <td>-0.114240</td>\n <td>-0.119275</td>\n <td>-0.081503</td>\n <td>-0.028967</td>\n <td>-0.111010</td>\n <td>-0.076311</td>\n <td>-0.079231</td>\n <td>-0.068792</td>\n <td>-0.181372</td>\n <td>-0.085218</td>\n <td>-0.053350</td>\n <td>-0.160540</td>\n <td>-0.035837</td>\n </tr>\n <tr>\n <th>ed17e643-a38c-4a70-80da-7303f25734bc</th>\n <td>-0.415398</td>\n <td> 0.104813</td>\n <td>-0.023238</td>\n <td>-0.058495</td>\n <td>-0.062849</td>\n <td> 0.033945</td>\n <td>-0.058073</td>\n <td> 0.032466</td>\n <td>-0.035942</td>\n <td>-0.067473</td>\n <td> 0.006656</td>\n <td>-0.037637</td>\n <td>-0.000648</td>\n <td> 0.021906</td>\n <td>-0.032960</td>\n </tr>\n <tr>\n <th>ee9736df-6c77-4974-8baa-6d7e15a33573</th>\n <td> 1.514588</td>\n <td> 0.154250</td>\n <td>-0.016970</td>\n <td>-0.047962</td>\n <td>-0.012257</td>\n <td> 0.078511</td>\n <td>-0.050331</td>\n <td> 0.078401</td>\n <td>-0.021924</td>\n <td>-0.066971</td>\n <td> 0.152287</td>\n <td>-0.022907</td>\n <td> 0.000535</td>\n <td> 0.197459</td>\n <td>-0.032595</td>\n </tr>\n <tr>\n <th>f063868a-4943-4563-89b1-1e5bb68c6719</th>\n <td>-0.457070</td>\n <td> 0.096685</td>\n <td>-0.033853</td>\n <td>-0.054904</td>\n <td>-0.058120</td>\n <td> 0.062713</td>\n <td>-0.064873</td>\n <td> 0.050605</td>\n <td>-0.031313</td>\n <td>-0.067473</td>\n <td>-0.010251</td>\n <td>-0.033885</td>\n <td>-0.000648</td>\n <td> 0.008328</td>\n <td>-0.032960</td>\n </tr>\n <tr>\n <th>f0c877cc-21b7-418c-a233-55c8cd146085</th>\n <td>-0.265201</td>\n <td> 0.040097</td>\n <td>-0.039994</td>\n <td>-0.055296</td>\n <td>-0.059853</td>\n <td>-0.018194</td>\n <td>-0.069722</td>\n <td> 0.001058</td>\n <td>-0.043989</td>\n <td>-0.067473</td>\n <td>-0.044441</td>\n <td>-0.052338</td>\n <td>-0.000648</td>\n <td> 0.022806</td>\n <td>-0.032960</td>\n </tr>\n <tr>\n <th>f12be350-e5e5-403b-96d0-ad19e671357f</th>\n <td>-0.015849</td>\n <td>-3.503807</td>\n <td>-0.031343</td>\n <td>-0.779344</td>\n <td>-0.057512</td>\n <td>-1.814613</td>\n <td>-0.977413</td>\n <td>-0.919501</td>\n <td>-0.659557</td>\n <td>-0.067473</td>\n <td>-0.266772</td>\n <td>-0.666647</td>\n <td>-0.774901</td>\n <td>-0.073913</td>\n <td>-0.042249</td>\n </tr>\n <tr>\n <th>f13130e9-f9c9-4121-a428-632878ee9b67</th>\n <td> 0.416449</td>\n <td> 0.229563</td>\n <td> 0.004807</td>\n <td> 0.002114</td>\n <td>-0.038009</td>\n <td> 0.126487</td>\n <td>-0.022051</td>\n <td> 0.115400</td>\n <td>-0.010408</td>\n <td> 0.025769</td>\n <td> 0.181173</td>\n <td>-0.013334</td>\n <td> 0.226148</td>\n <td> 0.207664</td>\n <td> 0.060461</td>\n </tr>\n <tr>\n <th>f1a5c836-c9e8-4f51-91ad-b207e0419027</th>\n <td>-0.627708</td>\n <td> 0.108690</td>\n <td>-0.021897</td>\n <td>-0.050481</td>\n <td>-0.057512</td>\n <td> 0.062713</td>\n <td>-0.053057</td>\n <td> 0.050605</td>\n <td>-0.027230</td>\n <td>-0.067473</td>\n <td> 0.007721</td>\n <td>-0.029006</td>\n <td>-0.000648</td>\n <td> 0.022806</td>\n <td>-0.032960</td>\n </tr>\n <tr>\n <th>f1fbbac5-d56c-4403-a825-35048ec6b09a</th>\n <td>-0.414947</td>\n <td> 0.075343</td>\n <td>-0.028271</td>\n <td>-0.058723</td>\n <td>-0.060006</td>\n <td> 0.048087</td>\n <td>-0.062943</td>\n <td> 0.041230</td>\n <td>-0.034179</td>\n <td>-0.071255</td>\n <td>-0.005749</td>\n <td>-0.035858</td>\n <td>-0.000648</td>\n <td> 0.007398</td>\n <td>-0.038903</td>\n </tr>\n <tr>\n <th>f2591f7f-bff7-4fe7-8b73-a0f192700dad</th>\n <td>-0.077961</td>\n <td>-0.217208</td>\n <td>-0.172438</td>\n <td>-0.060620</td>\n <td>-0.062612</td>\n <td>-0.325490</td>\n <td>-0.115138</td>\n <td>-0.197101</td>\n <td>-0.120801</td>\n <td>-0.086954</td>\n <td>-0.202064</td>\n <td>-0.121897</td>\n <td>-0.324301</td>\n <td>-0.190368</td>\n <td>-0.051372</td>\n </tr>\n <tr>\n <th>f2ebb275-6530-4794-9257-8acba9222189</th>\n <td>-0.473784</td>\n <td> 0.097989</td>\n <td>-0.025706</td>\n <td>-0.050481</td>\n <td>-0.058386</td>\n <td> 0.055684</td>\n <td>-0.065028</td>\n <td> 0.042395</td>\n <td>-0.032754</td>\n <td>-0.067473</td>\n <td> 0.006943</td>\n <td>-0.034450</td>\n <td>-0.000648</td>\n <td> 0.021820</td>\n <td>-0.032960</td>\n </tr>\n <tr>\n <th>f3150bdd-ffdc-4730-8b9f-42a78f875c62</th>\n <td> 0.005720</td>\n <td> 2.266934</td>\n <td> 1.027949</td>\n <td> 0.829057</td>\n <td> 1.562263</td>\n <td> 4.254945</td>\n <td> 1.100109</td>\n <td> 2.858979</td>\n <td> 1.516508</td>\n <td> 3.437252</td>\n <td> 1.809825</td>\n <td> 1.466127</td>\n <td> 0.312702</td>\n <td> 2.464061</td>\n <td> 2.618014</td>\n </tr>\n <tr>\n <th>f3f56d52-2eda-4650-8660-c2a7ab663e01</th>\n <td>-0.422739</td>\n <td> 0.106714</td>\n <td>-0.036358</td>\n <td>-0.051847</td>\n <td>-0.062808</td>\n <td> 0.055217</td>\n <td>-0.064086</td>\n <td> 0.050605</td>\n <td>-0.032426</td>\n <td>-0.067832</td>\n <td>-0.016315</td>\n <td>-0.034870</td>\n <td>-0.082841</td>\n <td> 0.010690</td>\n <td>-0.033221</td>\n </tr>\n <tr>\n <th>f5e06fd2-8706-41e5-bb6a-dfd5bd388566</th>\n <td>-0.257295</td>\n <td>-0.035260</td>\n <td>-0.042554</td>\n <td>-0.055857</td>\n <td>-0.057850</td>\n <td> 0.009692</td>\n <td>-0.071360</td>\n <td>-0.003023</td>\n <td>-0.049249</td>\n <td>-0.088920</td>\n <td>-0.008041</td>\n <td>-0.050560</td>\n <td>-0.002792</td>\n <td> 0.003552</td>\n <td>-0.052129</td>\n </tr>\n <tr>\n <th>f5e3e743-ab51-447d-b2ed-d5ee66bf3e19</th>\n <td> 0.203123</td>\n <td> 0.153908</td>\n <td> 0.085923</td>\n <td>-0.041875</td>\n <td>-0.037614</td>\n <td> 0.338100</td>\n <td>-0.031208</td>\n <td> 0.137685</td>\n <td> 0.021715</td>\n <td> 0.007050</td>\n <td> 0.151187</td>\n <td> 0.019828</td>\n <td> 0.071305</td>\n <td> 0.180094</td>\n <td> 0.038797</td>\n </tr>\n <tr>\n <th>f8a30f58-b0fd-4f8e-84c0-79c3fd86549f</th>\n <td> 0.070656</td>\n <td> 0.202387</td>\n <td> 0.047442</td>\n <td> 0.007389</td>\n <td>-0.004779</td>\n <td> 0.431765</td>\n <td> 0.181139</td>\n <td> 0.438366</td>\n <td> 0.109852</td>\n <td>-0.051709</td>\n <td> 0.260488</td>\n <td> 0.132363</td>\n <td> 0.069604</td>\n <td> 0.077576</td>\n <td>-0.019415</td>\n </tr>\n <tr>\n <th>fa6184cd-736d-4868-a70c-5bf69cdfd190</th>\n <td>-0.180051</td>\n <td>-0.006585</td>\n <td>-0.059455</td>\n <td>-0.050481</td>\n <td>-0.068433</td>\n <td>-0.007387</td>\n <td>-0.114240</td>\n <td>-0.016845</td>\n <td>-0.062846</td>\n <td>-0.081813</td>\n <td>-0.044291</td>\n <td>-0.067589</td>\n <td>-0.000648</td>\n <td>-0.009277</td>\n <td>-0.043385</td>\n </tr>\n <tr>\n <th>fc361f71-275a-43f5-b36b-e2acae6e5256</th>\n <td>-0.377228</td>\n <td> 0.049400</td>\n <td>-0.030298</td>\n <td>-0.050481</td>\n <td>-0.063317</td>\n <td> 0.034949</td>\n <td>-0.060761</td>\n <td> 0.036030</td>\n <td>-0.034868</td>\n <td>-0.071767</td>\n <td>-0.020154</td>\n <td>-0.037872</td>\n <td>-0.004304</td>\n <td> 0.001596</td>\n <td>-0.037350</td>\n </tr>\n <tr>\n <th>fd7befd7-84d4-4688-badb-e1cbd63cabd6</th>\n <td>-0.309244</td>\n <td> 0.048902</td>\n <td>-0.033678</td>\n <td>-0.057068</td>\n <td>-0.057512</td>\n <td>-0.009276</td>\n <td>-0.059100</td>\n <td> 0.005589</td>\n <td>-0.045069</td>\n <td>-0.067473</td>\n <td> 0.007721</td>\n <td>-0.046584</td>\n <td>-0.000648</td>\n <td> 0.022806</td>\n <td>-0.032960</td>\n </tr>\n <tr>\n <th>ff07c783-072b-407c-91ca-a9349dd778f0</th>\n <td> 0.287257</td>\n <td> 0.261709</td>\n <td> 0.019424</td>\n <td> 0.069212</td>\n <td>-0.048523</td>\n <td> 0.187703</td>\n <td>-0.038843</td>\n <td> 0.126735</td>\n <td> 0.020912</td>\n <td>-0.067473</td>\n <td> 0.060755</td>\n <td> 0.018080</td>\n <td>-0.000648</td>\n <td> 0.093417</td>\n <td>-0.032960</td>\n </tr>\n <tr>\n <th>ff67d643-5010-41b9-9179-4e03f8337dfc</th>\n <td> 1.064672</td>\n <td> 0.167509</td>\n <td>-0.001287</td>\n <td>-0.026824</td>\n <td>-0.045765</td>\n <td> 0.132909</td>\n <td>-0.030284</td>\n <td> 0.078898</td>\n <td>-0.012978</td>\n <td>-0.015166</td>\n <td> 0.092633</td>\n <td>-0.011899</td>\n <td> 0.000517</td>\n <td> 0.096501</td>\n <td> 0.013054</td>\n </tr>\n </tbody>\n</table>\n<p>300 rows × 15 columns</p>\n</div>",
"output_type": "pyout",
"metadata": {},
"prompt_number": 9
}
],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "code",
"input": "# # Jordeen adding features for scores\n# for key in grades_rowdict:\n# user = grades_rowdict[key]['userId']\n# if user in train_features: # user already in train_features\n# # Set average score\n# sum_set_scores = 0\n# num_sets = 29\n# for i in range(0, num_sets):\n# sum_set_scores += grades_rowdict[key]['Set' + str(i)]\n# train_features[user]['average_set_score'] = sum_set_scores / float(num_sets)\n# # s average score\n# sum_s_scores = 0\n# for i in range(0, num_sets):\n# sum_s_scores += grades_rowdict[key]['s' + str(i)]\n# train_features[user]['average_s_score'] = sum_set_scores / float(num_sets)\n# # rest of the features\n# train_features[user]['course_score'] = grades_rowdict[key]['course']\n# train_features[user]['final_exam_score'] = grades_rowdict[key]['final']\n# train_features[user]['hw_score'] = grades_rowdict[key]['hw']\n# train_features[user]['letter'] = grades_rowdict[key]['letter']\n# train_features[user]['demerit'] = grades_rowdict[key]['demerit']\n# else:\n# pass",
"prompt_number": 91,
"outputs": [],
"language": "python",
"trusted": false,
"collapsed": false
},
{
"metadata": {},
"cell_type": "code",
"input": "# Testing Vincent's Timing Features\nfrom pprint import pprint\n\ntest_user = train_features.loc['c9744297-65d9-42d8-9127-c42f4e0f1c9a']\n\nprint \"\\nTotal time on class:\"\n\n# Test user's total time spent on class\npprint(test_user['total_time'])\n\nprint \"\\nTime spend on class based on day of week:\"\n\n# Test user's time spent on class based on day of week\npprint(test_user['day_times'])\n\nprint \"\\nTime spent on class based on event type:\"\n\n# Test user's time spent on class based on event type\npprint(test_user['event_times'])\n\nprint \"\\nTime spent on class based on activity type:\"\n\n# Test user's time spent on class based on activity type\npprint(test_user['activity_times'])\n\nprint \"\\nAll user features involving time:\"\n\n# Test user's features\npprint(test_user)\n",
"prompt_number": 96,
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "\nTotal time on class:\n21185.0\n\nTime spend on class based on day of week:\n{'Friday': 0.15435449610573518,\n 'Monday': 0.1381637951380694,\n 'Saturday': 0.07321217842813312,\n 'Sunday': 0.09870191172999764,\n 'Thursday': 0.14090158130752892,\n 'Tuesday': 0.06188340807174888,\n 'Wednesday': 0.33282983242860514}\n\nTime spent on class based on event type:\n{'CLOSED': 0.42737786169459524,\n 'SUSPENDED': 0.02525371725277319,\n 'WORKED': 0.5474156242624498}\n\nTime spent on class based on activity type:\n{'ASSIGNMENT': 0.3260797734245929,\n 'LISTEN': 0.00014160962945480293,\n 'PRACTICE': 0.019872551333490678,\n 'READ': 0.6210526315789474,\n 'WATCH': 0.032900637243332545}\n\nAll user features involving time:\n{'activity_times': {'ASSIGNMENT': 0.3260797734245929,\n 'LISTEN': 0.00014160962945480293,\n 'PRACTICE': 0.019872551333490678,\n 'READ': 0.6210526315789474,\n 'WATCH': 0.032900637243332545},\n 'day_times': {'Friday': 0.15435449610573518,\n 'Monday': 0.1381637951380694,\n 'Saturday': 0.07321217842813312,\n 'Sunday': 0.09870191172999764,\n 'Thursday': 0.14090158130752892,\n 'Tuesday': 0.06188340807174888,\n 'Wednesday': 0.33282983242860514},\n 'event_times': {'CLOSED': 0.42737786169459524,\n 'SUSPENDED': 0.02525371725277319,\n 'WORKED': 0.5474156242624498},\n 'total_time': 21185.0}\n"
}
],
"language": "python",
"trusted": false,
"collapsed": false
},
{
"metadata": {},
"cell_type": "code",
"input": "import numpy as np\nfrom sklearn.cluster import KMeans, DBSCAN\nkmeans = KMeans(init='k-means++', n_clusters=5, n_init=10)\nkmeans.fit(train_features)\n",
"prompt_number": 10,
"outputs": [
{
"text": "KMeans(copy_x=True, init='k-means++', max_iter=300, n_clusters=5, n_init=10,\n n_jobs=1, precompute_distances=True, random_state=None, tol=0.0001,\n verbose=0)",
"output_type": "pyout",
"metadata": {},
"prompt_number": 10
}
],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "code",
"input": "from sklearn.cluster.bicluster import SpectralBiclustering\nmodel = SpectralBiclustering(n_clusters=5, method='log', random_state=0)\nmodel.fit(train_features)",
"prompt_number": 19,
"outputs": [],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "code",
"input": "train_features.loc['bf7aa87b-444a-4eff-9f81-b4078e6dccd3']",
"prompt_number": 21,
"outputs": [
{
"text": "timeMinutes 0.411255\nFriday 0.149441\nMonday 0.011131\nSaturday -0.034145\nSunday -0.051154\nThursday 0.187172\nTuesday 0.007808\nWednesday 0.116852\nCLOSED -0.009030\nSUSPENDED -0.008999\nWORKED 0.183400\nASSIGNMENT -0.013351\nPRACTICE 0.324900\nREAD 0.214817\nWATCH 0.026557\nName: bf7aa87b-444a-4eff-9f81-b4078e6dccd3, dtype: float64",
"output_type": "pyout",
"metadata": {},
"prompt_number": 21
}
],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "code",
"input": "model.row_labels_",
"prompt_number": 20,
"outputs": [
{
"text": "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0,\n 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0], dtype=int32)",
"output_type": "pyout",
"metadata": {},
"prompt_number": 20
}
],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "code",
"input": "# Vincent MACHINE LEARNING CLUSTERING\nimport numpy as np\nfrom sklearn.cluster import KMeans, DBSCAN\nusers = []\nskl_features_array = []\ndef main():\n count = 0\n for user in user_data:\n # create array of features\n# if count > 300:\n# return\n if len(user_data[user]) != 1:\n users.append(user)\n skl_features_array.append(user_data[user])\n count += 1\nmain()\n\n# inspect variables\n# pprint(users)\n# pprint(data_order)\n# pprint(skl_features_array[0])\n\n# # KMEANS\nkmeans = KMeans(init='k-means++', n_clusters=5, n_init=10)\nkmeans.fit(skl_features_array)\ncluster = zip(users, kmeans.labels_)\ncluster_to_users = defaultdict(list)\nfor c in cluster:\n cluster_to_users[c[1]].append(c[0])\ncluster_to_users = dict(cluster_to_users)\nfrom collections import Counter\nc = Counter(kmeans.labels_)\npprint(c) # overview of clusters\n# pprint(data_order) # order of the data\n# pprint(cluster_to_users) # all users in the given clusters\n# example_cluster = 1\n# pprint(user_data[cluster_to_users[example_cluster][0]]) # finding info of specific user\n\n# SWITCH TO DBSCAN\n# x = np.array(skl_features_array)\n# cluster_hash = {}\n# e = 0.1\n# while e < 10:\n# dbscan = DBSCAN(eps=e, min_samples=10)\n# c = Counter(dbscan.fit_predict(x))\n# cluster_hash[e] = c\n# e += .1\n# pprint(cluster_hash)",
"prompt_number": 94,
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "Counter({1: 189, 0: 105, 2: 2, 4: 2, 3: 1})\n['total_time',\n 'SUSPENDED',\n 'WORKED',\n 'CLOSED',\n 'READ',\n 'ASSIGNMENT',\n 'PRACTICE',\n 'WATCH',\n 'DISCUSS',\n 'LISTEN',\n 'Monday',\n 'Tuesday',\n 'Friday',\n 'Wednesday',\n 'Thursday',\n 'Sunday',\n 'Saturday']\n{0: ['bf7aa87b-444a-4eff-9f81-b4078e6dccd3',\n 'caa16fdd-bd64-4fb3-89bc-4c7006a5b007',\n '14f18f7e-fe78-4076-9c25-4389095cc5a9',\n '3f03c73f-f287-42f1-883f-38285a96f223',\n 'b634d448-dea5-481c-b6c6-0256b4c4b0ed',\n '375209ae-a535-4cc1-9474-8a57a8270027',\n '135a07fb-7e5d-428c-8e66-db70a35209ae',\n '5a114f6f-cff4-46de-b07e-f77ef13344ce',\n '07860536-3e17-4098-8965-9d37b9cad109',\n '4c25b0be-a806-40e7-aef7-ded93dc082ce',\n '8038fe72-2f48-49aa-a91f-56c66cc5b6f0',\n 'a82083e2-1c85-4ca9-b13a-c861f2e13952',\n '03ad0a94-bbb6-4e23-9704-4de918908205',\n 'b92e00c0-6487-4858-bdef-4610ac46b55b',\n '7fd07ddb-c486-4ef5-8de9-44f66ba44d8f',\n 'd0ff7524-7dd9-4519-866e-2e9fb0826c07',\n '2eb72ff3-3093-42ce-b913-0f24d8a54117',\n 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['c9195d1c-11ef-4f06-8fda-8bab3557e0b5',\n '7f67c31f-263c-4162-9a44-45a3e127e0cb'],\n 3: ['900e4367-9ac5-4942-896c-30a98ad39eb6'],\n 4: ['e9183123-1172-4923-b66a-47cc6a8141d0',\n '6707e21d-20ca-4905-a026-ed79b03c066c']}\n[-0.36233025871922103,\n -0.61940749592192901,\n -0.75228624624585849,\n 0.82141935086043238,\n -0.6470710090203845,\n 0.79253952722969112,\n -0.32174644246315043,\n -0.63254028177684363,\n -0.25955463959114156,\n -0.22628183578315039,\n 0.10663596652843384,\n -0.05520471525516054,\n -0.07592215941656924,\n 0.92376657487336988,\n 0.27448069416812676,\n -1.0160604604033443,\n -0.46944581470438351]\n"
}
],
"language": "python",
"trusted": false,
"collapsed": false
},
{
"metadata": {},
"cell_type": "code",
"input": "",
"outputs": [],
"language": "python",
"trusted": false,
"collapsed": false
}
],
"metadata": {}
}
],
"metadata": {
"gist_id": "7ca980986a9d6aa7a774",
"name": "",
"signature": "sha256:0281ad8fcb8a5a8f50971f5099004d5b6459fb29fc996dc194b88e22dce109d0"
},
"nbformat": 3
}
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