deview2015_stats

{"nbformat": 4, "nbformat_minor": 0, "metadata": {"language_info": {"version": "3.4.3", "file_extension": ".py", "codemirror_mode": {"version": 3, "name": "ipython"}, "mimetype": "text/x-python", "pygments_lexer": "ipython3", "nbconvert_exporter": "python", "name": "python"}, "kernelspec": {"language": "python", "display_name": "Python 3", "name": "python3"}}, "cells": [{"cell_type": "markdown", "metadata": {}, "source": "## deview\uc758 \uac1c\uc778 \uc2a4\ucf00\uc904 \uacf5\uc720 \ud398\uc774\uc9c0\ub97c \ud06c\ub864\ub9c1\ud558\uc5ec \uac04\ub2e8\ud788 \ubd84\uc11d\ud574 \ubd24\uc2b5\ub2c8\ub2e4. \n### \uc5b4\ub5a4 \ubc1c\ud45c\uac00 \uccad\uc911\uc5d0\uac8c \uad00\uc2ec\uc744 \ub9ce\uc774 \ubc1b\uace0 \n### \uc5b4\ub5a4 \ubc1c\ud45c\ub4e4\uc774 \uc11c\ub85c \uc720\uc0ac\ud55c\uc9c0 \ucc3e\uc544 \ubcf4\uc790\uace0\n"}, {"cell_type": "markdown", "metadata": {}, "source": "### \uac1c\uc778 \uc2dc\uac04\ud45c \ud06c\ub864\ub9c1\n* http://deview.kr/2015/pick/{uno} url\ub97c \ud06c\ub864\ub9c1\ud55c\ub2e4.\n* bs4\ub85c \ud06c\ub864\ub9c1\ud55c\ub2e4. \n* uno,session-id\ub97c \ud06c\ub864\ub9c1\ud55c\ub2e4. \n* uno 1~1500\uae4c\uc9c0 \ud06c\ub864\ub9c1\ud55c\ub2e4. \n* list\ub85c (uno,session_id)\ud615\ud0dc\ub85c \uc800\uc815\ud55c\ub2e4. "}, {"cell_type": "code", "execution_count": 100, "metadata": {"collapsed": true, "trusted": true}, "outputs": [], "source": "import urllib\nimport json\nfrom bs4 import BeautifulSoup\n\n%matplotlib inline"}, {"cell_type": "code", "execution_count": 123, "metadata": {"collapsed": false, "trusted": true}, "outputs": [{"output_type": "execute_result", "metadata": {}, "data": {"text/plain": "['95', '116', '113', '64', '70', '109', '123', '85', '69', '86', '84', '83']"}, "execution_count": 123}], "source": "def readUserSchedule(uno):\n    try:\n        response = urllib.request.urlopen(\"http://deview.kr/2015/pick/{uno}\".format(uno=uno) )\n    except Exception:\n        return []\n    data = response.read().decode('utf-8')\n    soup = BeautifulSoup(data, 'html.parser')\n    classes = soup.find_all(\"a\", class_=\"lecture_links\")\n    reserved = []\n    for c in classes:\n        sessionurl = c.get('href')\n        if sessionurl is None or len(sessionurl)==0:\n            continue\n        reserved.append( (sessionurl.split('/')[3]))\n    return reserved\nreadUserSchedule(4)"}, {"cell_type": "code", "execution_count": 144, "metadata": {"collapsed": false, "scrolled": false, "trusted": true}, "outputs": [], "source": "user_schedules = []\nfor uno in range(1,1501):\n    sids = readUserSchedule(uno)\n    if sids is None or len(sids)==0:\n        continue\n    \n    for id in sids:\n        user_schedules.append((uno,id))"}, {"cell_type": "code", "execution_count": 146, "metadata": {"collapsed": false, "trusted": true}, "outputs": [], "source": "user_schedules_ds = pd.DataFrame(user_schedules,columns=['uno','session_id'])\nuser_schedules_ds.to_pickle('/Users/goodvc/data/spot-data-analysis/deview_data/user_schedules_ds')"}, {"cell_type": "markdown", "metadata": {}, "source": "### \uac1c\uc778\uc758 \uc2a4\ucf00\uc904\ub9c1 \ub370\uc774\ud130 \ud06c\ub864\ub9c1 \uc644\ub8cc \n---\n### \ub370\ubdf0 \ubc1c\ud45c \uc138\uc158\uc758 \uc815\ubcf4\ub294 \ud55c\ub540\ud55c\ub540 copy & paste\ub85c csv\ub85c \ub9cc\ub4e4\uc5b4 \uc800\uc7a5\ud588\ub2e4. "}, {"cell_type": "code", "execution_count": 229, "metadata": {"collapsed": false, "trusted": true}, "outputs": [{"output_type": "execute_result", "metadata": {}, "data": {"text/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>day</th>\n      <th>time</th>\n      <th>zone</th>\n      <th>title</th>\n      <th>session_id</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td> Day1</td>\n      <td> 10:00</td>\n      <td> T1</td>\n      <td>                               \ub124\uc774\ubc84 \ud6a8\uacfc\ud230\uc740 \uc5b4\ub5bb\uac8c \ub9cc\ub4e4\uc5b4\uc84c\ub098?</td>\n      <td> 115</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td> Day1</td>\n      <td> 10:00</td>\n      <td> T2</td>\n      <td>                                     \uc2e4\uc804 \uc2a4\uc704\ud504\ud2b8 \ud504\ub85c\uadf8\ub798\ubc0d</td>\n      <td>  95</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td> Day1</td>\n      <td> 10:00</td>\n      <td> T3</td>\n      <td> Developing Android Libraries: Lessons from Realim</td>\n      <td> 119</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td> Day1</td>\n      <td> 10:00</td>\n      <td> T4</td>\n      <td>                        DRC-HUBO: Technical Review</td>\n      <td> 114</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td> Day1</td>\n      <td> 11:00</td>\n      <td> T1</td>\n      <td>                                    \ub124\uc774\ubc84 \ud6a8\uacfc\ud230 \uad6c\ud604 \uc774\uc57c\uae30</td>\n      <td>  89</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "    day   time zone                                              title  \\\n0  Day1  10:00   T1                                \ub124\uc774\ubc84 \ud6a8\uacfc\ud230\uc740 \uc5b4\ub5bb\uac8c \ub9cc\ub4e4\uc5b4\uc84c\ub098?   \n1  Day1  10:00   T2                                      \uc2e4\uc804 \uc2a4\uc704\ud504\ud2b8 \ud504\ub85c\uadf8\ub798\ubc0d   \n2  Day1  10:00   T3  Developing Android Libraries: Lessons from Realim   \n3  Day1  10:00   T4                         DRC-HUBO: Technical Review   \n4  Day1  11:00   T1                                     \ub124\uc774\ubc84 \ud6a8\uacfc\ud230 \uad6c\ud604 \uc774\uc57c\uae30   \n\n   session_id  \n0         115  \n1          95  \n2         119  \n3         114  \n4          89  "}, "execution_count": 229}], "source": "## read session info\nimport pandas as pd\nsession_info = pd.read_csv('/Users/goodvc/data/spot-data-analysis/deview_data/deview2015_session_info.csv')\nsession_info.head()"}, {"cell_type": "markdown", "metadata": {}, "source": "--- \n## \uac04\ub2e8\ud788 \ud1b5\uacc4\ub97c \ubf51\uc544 \ubcf4\uc790 "}, {"cell_type": "code", "execution_count": 230, "metadata": {"collapsed": true, "trusted": true}, "outputs": [], "source": "user_schedules_ds['session_id'] = user_schedules_ds['session_id'].apply(lambda x: float(x))"}, {"cell_type": "code", "execution_count": 231, "metadata": {"collapsed": false, "trusted": true}, "outputs": [], "source": "## session_info \ub370\uc774\ud130\uc640 join\uc744 \ud558\uc5ec \uc0ac\uc6a9\ud558\uc790 \nschedules_ds = pd.merge(user_schedules_ds, session_info,how='left', on=['session_id'])"}, {"cell_type": "code", "execution_count": 232, "metadata": {"collapsed": true, "trusted": true}, "outputs": [{"output_type": "execute_result", "metadata": {}, "data": {"text/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>uno</th>\n      <th>session_id</th>\n      <th>day</th>\n      <th>time</th>\n      <th>zone</th>\n      <th>title</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0   </th>\n      <td>    1</td>\n      <td> 119</td>\n      <td> Day1</td>\n      <td> 10:00</td>\n      <td> T3</td>\n      <td> Developing Android Libraries: Lessons from Realim</td>\n    </tr>\n    <tr>\n      <th>1   </th>\n      <td>    1</td>\n      <td>  76</td>\n      <td> Day1</td>\n      <td> 11:00</td>\n      <td> T3</td>\n      <td>                                Quality without QA</td>\n    </tr>\n    <tr>\n      <th>2   </th>\n      <td>    1</td>\n      <td> 121</td>\n      <td> Day1</td>\n      <td> 12:00</td>\n      <td> T1</td>\n      <td>         Packetbeat \uacfc Elasticsearch \ub97c \uc774\uc6a9\ud55c \uc2e4\uc2dc\uac04 \ubaa8\ub2c8\ud130\ub9c1</td>\n    </tr>\n    <tr>\n      <th>3   </th>\n      <td>    1</td>\n      <td>  88</td>\n      <td> Day1</td>\n      <td> 14:10</td>\n      <td> T1</td>\n      <td>                                  React Everywhere</td>\n    </tr>\n    <tr>\n      <th>4   </th>\n      <td>    1</td>\n      <td> 112</td>\n      <td> Day1</td>\n      <td> 15:10</td>\n      <td> T2</td>\n      <td>                                  \uc6f9 \ube0c\ub77c\uc6b0\uc800 \uac10\uc625\uc5d0\uc11c \uc0b4\uc544\ub0a8\uae30</td>\n    </tr>\n    <tr>\n      <th>5   </th>\n      <td>    1</td>\n      <td> 109</td>\n      <td> Day1</td>\n      <td> 16:10</td>\n      <td> T2</td>\n      <td>                              JPA\uc640 \ubaa8\ub358 \uc790\ubc14 \ub370\uc774\ud130 \uc800\uc7a5 \uae30\uc220</td>\n    </tr>\n    <tr>\n      <th>6   </th>\n      <td>    1</td>\n      <td>  63</td>\n      <td> Day2</td>\n      <td> 10:00</td>\n      <td> T2</td>\n      <td> Large scale backend service development using ...</td>\n    </tr>\n    <tr>\n      <th>7   </th>\n      <td>    1</td>\n      <td> 117</td>\n      <td> Day2</td>\n      <td> 11:00</td>\n      <td> T1</td>\n      <td>                              Docker Orchestration</td>\n    </tr>\n    <tr>\n      <th>8   </th>\n      <td>    1</td>\n      <td> 124</td>\n      <td> Day2</td>\n      <td> 12:00</td>\n      <td> T1</td>\n      <td> The simplicity of cluster apps with the Circui...</td>\n    </tr>\n    <tr>\n      <th>9   </th>\n      <td>    1</td>\n      <td>  91</td>\n      <td> Day2</td>\n      <td> 14:10</td>\n      <td> T1</td>\n      <td>   Storm\uacfc Elasticsearch\ub97c \ud65c\uc6a9\ud55c \ub85c\uae45 \ud50c\ub7ab\ud3fc\uc758 \uc2e4\uc2dc\uac04 \uc54c\ub78c \uc2dc\uc2a4\ud15c \uad6c\ud604</td>\n    </tr>\n    <tr>\n      <th>10  </th>\n      <td>    1</td>\n      <td>  62</td>\n      <td> Day2</td>\n      <td> 15:10</td>\n      <td> T4</td>\n      <td>                                 Presto \ub0b4\ubd80 \uad6c\uc870 \ud30c\ud5e4\uce58\uae30</td>\n    </tr>\n    <tr>\n      <th>11  </th>\n      <td>    1</td>\n      <td>  83</td>\n      <td> Day2</td>\n      <td> 16:10</td>\n      <td> T1</td>\n      <td>             \ucf54\ub07c\ub9ac \ub0c9\uc7a5\uace0\uc5d0 \uc9d1\uc5b4\ub123\uae30 - \uc2e4\uc2dc\uac04 \ucd94\ucc9c\uc5d4\uc9c4\uc744 \uba38\uc2e0 \ud55c\ub300\uc5d0 \uad6c\uaca8\ub123\uae30</td>\n    </tr>\n    <tr>\n      <th>12  </th>\n      <td>    2</td>\n      <td> 115</td>\n      <td> Day1</td>\n      <td> 10:00</td>\n      <td> T1</td>\n      <td>                               \ub124\uc774\ubc84 \ud6a8\uacfc\ud230\uc740 \uc5b4\ub5bb\uac8c \ub9cc\ub4e4\uc5b4\uc84c\ub098?</td>\n    </tr>\n    <tr>\n      <th>13  </th>\n      <td>    2</td>\n      <td>  89</td>\n      <td> Day1</td>\n      <td> 11:00</td>\n      <td> T1</td>\n      <td>                                    \ub124\uc774\ubc84 \ud6a8\uacfc\ud230 \uad6c\ud604 \uc774\uc57c\uae30</td>\n    </tr>\n    <tr>\n      <th>14  </th>\n      <td>    2</td>\n      <td>  87</td>\n      <td> Day1</td>\n      <td> 12:00</td>\n      <td> T3</td>\n      <td>                        \ube0c\ub77c\uc6b0\uc800\ub294 VSync \ub97c \uc5b4\ub5bb\uac8c \ud65c\uc6a9\ud558\uace0 \uc788\uc744\uae4c</td>\n    </tr>\n    <tr>\n      <th>15  </th>\n      <td>    2</td>\n      <td>  88</td>\n      <td> Day1</td>\n      <td> 14:10</td>\n      <td> T1</td>\n      <td>                                  React Everywhere</td>\n    </tr>\n    <tr>\n      <th>16  </th>\n      <td>    2</td>\n      <td> 112</td>\n      <td> Day1</td>\n      <td> 15:10</td>\n      <td> T2</td>\n      <td>                                  \uc6f9 \ube0c\ub77c\uc6b0\uc800 \uac10\uc625\uc5d0\uc11c \uc0b4\uc544\ub0a8\uae30</td>\n    </tr>\n    <tr>\n      <th>17  </th>\n      <td>    2</td>\n      <td>  75</td>\n      <td> Day1</td>\n      <td> 16:10</td>\n      <td> T3</td>\n      <td> Accelerated compositing in WebKit: Now and in ...</td>\n    </tr>\n    <tr>\n      <th>18  </th>\n      <td>    2</td>\n      <td>  92</td>\n      <td> Day2</td>\n      <td> 10:00</td>\n      <td> T1</td>\n      <td>                                    \ub124\uc774\ubc84 \uac80\uc0c9\uacfc \ub370\uc774\ud130\ub9c8\uc774\ub2dd</td>\n    </tr>\n    <tr>\n      <th>19  </th>\n      <td>    2</td>\n      <td> 117</td>\n      <td> Day2</td>\n      <td> 11:00</td>\n      <td> T1</td>\n      <td>                              Docker Orchestration</td>\n    </tr>\n    <tr>\n      <th>20  </th>\n      <td>    2</td>\n      <td>  86</td>\n      <td> Day2</td>\n      <td> 14:10</td>\n      <td> T4</td>\n      <td>                         \ubd84\uc0b0 \ud658\uacbd\uc5d0\uc11c\uc758 \uc2a4\ud2b8\ub9bc\uacfc \ubc30\uce58 \ucc98\ub9ac \ud1b5\ud569 \ubaa8\ub378</td>\n    </tr>\n    <tr>\n      <th>21  </th>\n      <td>    2</td>\n      <td>  83</td>\n      <td> Day2</td>\n      <td> 16:10</td>\n      <td> T1</td>\n      <td>             \ucf54\ub07c\ub9ac \ub0c9\uc7a5\uace0\uc5d0 \uc9d1\uc5b4\ub123\uae30 - \uc2e4\uc2dc\uac04 \ucd94\ucc9c\uc5d4\uc9c4\uc744 \uba38\uc2e0 \ud55c\ub300\uc5d0 \uad6c\uaca8\ub123\uae30</td>\n    </tr>\n    <tr>\n      <th>22  </th>\n      <td>    3</td>\n      <td> 115</td>\n      <td> Day1</td>\n      <td> 10:00</td>\n      <td> T1</td>\n      <td>                               \ub124\uc774\ubc84 \ud6a8\uacfc\ud230\uc740 \uc5b4\ub5bb\uac8c \ub9cc\ub4e4\uc5b4\uc84c\ub098?</td>\n    </tr>\n    <tr>\n      <th>23  </th>\n      <td>    3</td>\n      <td> 116</td>\n      <td> Day1</td>\n      <td> 11:00</td>\n      <td> T4</td>\n      <td>                                MIT Cheetah \ub85c\ubd07\uc758 \ud0c4\uc0dd</td>\n    </tr>\n    <tr>\n      <th>24  </th>\n      <td>    3</td>\n      <td>  78</td>\n      <td> Day1</td>\n      <td> 14:10</td>\n      <td> T4</td>\n      <td>                     Mobile \uc571\uc5d0\uc11c \ud6a8\uc728\uc801\uc778 storage \uc811\uadfc \ubc29\ubc95</td>\n    </tr>\n    <tr>\n      <th>25  </th>\n      <td>    3</td>\n      <td>  70</td>\n      <td> Day1</td>\n      <td> 15:10</td>\n      <td> T1</td>\n      <td>                     \uc601\uc0c1 \uc778\uc2dd\uc744 \ud1b5\ud55c \uc624\ud504\ub77c\uc778 \uace0\uac1d \ubd84\uc11d \uc194\ub8e8\uc158\uacfc \ub525\ub7ec\ub2dd</td>\n    </tr>\n    <tr>\n      <th>26  </th>\n      <td>    3</td>\n      <td>  63</td>\n      <td> Day2</td>\n      <td> 10:00</td>\n      <td> T2</td>\n      <td> Large scale backend service development using ...</td>\n    </tr>\n    <tr>\n      <th>27  </th>\n      <td>    3</td>\n      <td>  82</td>\n      <td> Day2</td>\n      <td> 12:00</td>\n      <td> T2</td>\n      <td>   \uc218\ud37c\ucef4\ud4e8\ud305\uacfc \ub370\uc774\ud130 \uc5b4\ub0bc\ub9ac\ud2f1\uc2a4 \ud504\ub808\uc784\uc6cc\ud06c \uadf8\ub9ac\uace0 UNIST\uc758 \ube45\ub370\uc774\ud130 \ucc98\ub9ac \ud504\ub808\uc784\uc6cc\ud06c</td>\n    </tr>\n    <tr>\n      <th>28  </th>\n      <td>    3</td>\n      <td>  91</td>\n      <td> Day2</td>\n      <td> 14:10</td>\n      <td> T1</td>\n      <td>   Storm\uacfc Elasticsearch\ub97c \ud65c\uc6a9\ud55c \ub85c\uae45 \ud50c\ub7ab\ud3fc\uc758 \uc2e4\uc2dc\uac04 \uc54c\ub78c \uc2dc\uc2a4\ud15c \uad6c\ud604</td>\n    </tr>\n    <tr>\n      <th>29  </th>\n      <td>    3</td>\n      <td>  93</td>\n      <td> Day2</td>\n      <td> 15:10</td>\n      <td> T3</td>\n      <td>              Enterprise Dataflow with Apache NiFi</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    </tr>\n    <tr>\n      <th>7964</th>\n      <td> 1491</td>\n      <td>  69</td>\n      <td> Day2</td>\n      <td> 12:00</td>\n      <td> T3</td>\n      <td> Level 2 Network Programming using PacketNgin RTOS</td>\n    </tr>\n    <tr>\n      <th>7965</th>\n      <td> 1491</td>\n      <td>  68</td>\n      <td> Day2</td>\n      <td> 14:10</td>\n      <td> T3</td>\n      <td>                           Turning data into value</td>\n    </tr>\n    <tr>\n      <th>7966</th>\n      <td> 1491</td>\n      <td>  73</td>\n      <td> Day2</td>\n      <td> 15:10</td>\n      <td> T1</td>\n      <td>            Implementing Deep Learning using cuDNN</td>\n    </tr>\n    <tr>\n      <th>7967</th>\n      <td> 1491</td>\n      <td>  83</td>\n      <td> Day2</td>\n      <td> 16:10</td>\n      <td> T1</td>\n      <td>             \ucf54\ub07c\ub9ac \ub0c9\uc7a5\uace0\uc5d0 \uc9d1\uc5b4\ub123\uae30 - \uc2e4\uc2dc\uac04 \ucd94\ucc9c\uc5d4\uc9c4\uc744 \uba38\uc2e0 \ud55c\ub300\uc5d0 \uad6c\uaca8\ub123\uae30</td>\n    </tr>\n    <tr>\n      <th>7968</th>\n      <td> 1492</td>\n      <td>  92</td>\n      <td> Day2</td>\n      <td> 10:00</td>\n      <td> T1</td>\n      <td>                                    \ub124\uc774\ubc84 \uac80\uc0c9\uacfc \ub370\uc774\ud130\ub9c8\uc774\ub2dd</td>\n    </tr>\n    <tr>\n      <th>7969</th>\n      <td> 1492</td>\n      <td> 125</td>\n      <td> Day2</td>\n      <td> 11:00</td>\n      <td> T4</td>\n      <td>                             \uae30\uacc4 \ubc88\uc5ed \ubaa8\ub378 \uae30\ubc18 \uc9c8\uc758 \uad50\uc815 \uc2dc\uc2a4\ud15c</td>\n    </tr>\n    <tr>\n      <th>7970</th>\n      <td> 1492</td>\n      <td>  91</td>\n      <td> Day2</td>\n      <td> 14:10</td>\n      <td> T1</td>\n      <td>   Storm\uacfc Elasticsearch\ub97c \ud65c\uc6a9\ud55c \ub85c\uae45 \ud50c\ub7ab\ud3fc\uc758 \uc2e4\uc2dc\uac04 \uc54c\ub78c \uc2dc\uc2a4\ud15c \uad6c\ud604</td>\n    </tr>\n    <tr>\n      <th>7971</th>\n      <td> 1492</td>\n      <td>  84</td>\n      <td> Day2</td>\n      <td> 15:10</td>\n      <td> T2</td>\n      <td>                                \uc99d\ubd84 \ucc98\ub9ac \ud50c\ub7ab\ud3fc Cana \uac1c\ubc1c\uae30</td>\n    </tr>\n    <tr>\n      <th>7972</th>\n      <td> 1492</td>\n      <td>  83</td>\n      <td> Day2</td>\n      <td> 16:10</td>\n      <td> T1</td>\n      <td>             \ucf54\ub07c\ub9ac \ub0c9\uc7a5\uace0\uc5d0 \uc9d1\uc5b4\ub123\uae30 - \uc2e4\uc2dc\uac04 \ucd94\ucc9c\uc5d4\uc9c4\uc744 \uba38\uc2e0 \ud55c\ub300\uc5d0 \uad6c\uaca8\ub123\uae30</td>\n    </tr>\n    <tr>\n      <th>7973</th>\n      <td> 1493</td>\n      <td> 116</td>\n      <td> Day1</td>\n      <td> 11:00</td>\n      <td> T4</td>\n      <td>                                MIT Cheetah \ub85c\ubd07\uc758 \ud0c4\uc0dd</td>\n    </tr>\n    <tr>\n      <th>7974</th>\n      <td> 1495</td>\n      <td>  63</td>\n      <td> Day2</td>\n      <td> 10:00</td>\n      <td> T2</td>\n      <td> Large scale backend service development using ...</td>\n    </tr>\n    <tr>\n      <th>7975</th>\n      <td> 1495</td>\n      <td> 117</td>\n      <td> Day2</td>\n      <td> 11:00</td>\n      <td> T1</td>\n      <td>                              Docker Orchestration</td>\n    </tr>\n    <tr>\n      <th>7976</th>\n      <td> 1495</td>\n      <td> 124</td>\n      <td> Day2</td>\n      <td> 12:00</td>\n      <td> T1</td>\n      <td> The simplicity of cluster apps with the Circui...</td>\n    </tr>\n    <tr>\n      <th>7977</th>\n      <td> 1495</td>\n      <td>  91</td>\n      <td> Day2</td>\n      <td> 14:10</td>\n      <td> T1</td>\n      <td>   Storm\uacfc Elasticsearch\ub97c \ud65c\uc6a9\ud55c \ub85c\uae45 \ud50c\ub7ab\ud3fc\uc758 \uc2e4\uc2dc\uac04 \uc54c\ub78c \uc2dc\uc2a4\ud15c \uad6c\ud604</td>\n    </tr>\n    <tr>\n      <th>7978</th>\n      <td> 1495</td>\n      <td>  73</td>\n      <td> Day2</td>\n      <td> 15:10</td>\n      <td> T1</td>\n      <td>            Implementing Deep Learning using cuDNN</td>\n    </tr>\n    <tr>\n      <th>7979</th>\n      <td> 1495</td>\n      <td>  83</td>\n      <td> Day2</td>\n      <td> 16:10</td>\n      <td> T1</td>\n      <td>             \ucf54\ub07c\ub9ac \ub0c9\uc7a5\uace0\uc5d0 \uc9d1\uc5b4\ub123\uae30 - \uc2e4\uc2dc\uac04 \ucd94\ucc9c\uc5d4\uc9c4\uc744 \uba38\uc2e0 \ud55c\ub300\uc5d0 \uad6c\uaca8\ub123\uae30</td>\n    </tr>\n    <tr>\n      <th>7980</th>\n      <td> 1496</td>\n      <td>  63</td>\n      <td> Day2</td>\n      <td> 10:00</td>\n      <td> T2</td>\n      <td> Large scale backend service development using ...</td>\n    </tr>\n    <tr>\n      <th>7981</th>\n      <td> 1496</td>\n      <td> 117</td>\n      <td> Day2</td>\n      <td> 11:00</td>\n      <td> T1</td>\n      <td>                              Docker Orchestration</td>\n    </tr>\n    <tr>\n      <th>7982</th>\n      <td> 1497</td>\n      <td>  95</td>\n      <td> Day1</td>\n      <td> 10:00</td>\n      <td> T2</td>\n      <td>                                     \uc2e4\uc804 \uc2a4\uc704\ud504\ud2b8 \ud504\ub85c\uadf8\ub798\ubc0d</td>\n    </tr>\n    <tr>\n      <th>7983</th>\n      <td> 1498</td>\n      <td>  63</td>\n      <td> Day2</td>\n      <td> 10:00</td>\n      <td> T2</td>\n      <td> Large scale backend service development using ...</td>\n    </tr>\n    <tr>\n      <th>7984</th>\n      <td> 1498</td>\n      <td> 117</td>\n      <td> Day2</td>\n      <td> 11:00</td>\n      <td> T1</td>\n      <td>                              Docker Orchestration</td>\n    </tr>\n    <tr>\n      <th>7985</th>\n      <td> 1498</td>\n      <td>  91</td>\n      <td> Day2</td>\n      <td> 14:10</td>\n      <td> T1</td>\n      <td>   Storm\uacfc Elasticsearch\ub97c \ud65c\uc6a9\ud55c \ub85c\uae45 \ud50c\ub7ab\ud3fc\uc758 \uc2e4\uc2dc\uac04 \uc54c\ub78c \uc2dc\uc2a4\ud15c \uad6c\ud604</td>\n    </tr>\n    <tr>\n      <th>7986</th>\n      <td> 1498</td>\n      <td>  73</td>\n      <td> Day2</td>\n      <td> 15:10</td>\n      <td> T1</td>\n      <td>            Implementing Deep Learning using cuDNN</td>\n    </tr>\n    <tr>\n      <th>7987</th>\n      <td> 1498</td>\n      <td>  83</td>\n      <td> Day2</td>\n      <td> 16:10</td>\n      <td> T1</td>\n      <td>             \ucf54\ub07c\ub9ac \ub0c9\uc7a5\uace0\uc5d0 \uc9d1\uc5b4\ub123\uae30 - \uc2e4\uc2dc\uac04 \ucd94\ucc9c\uc5d4\uc9c4\uc744 \uba38\uc2e0 \ud55c\ub300\uc5d0 \uad6c\uaca8\ub123\uae30</td>\n    </tr>\n    <tr>\n      <th>7988</th>\n      <td> 1500</td>\n      <td> 123</td>\n      <td> Day2</td>\n      <td> 10:00</td>\n      <td> T4</td>\n      <td>                 Data science with Apache Zeppelin</td>\n    </tr>\n    <tr>\n      <th>7989</th>\n      <td> 1500</td>\n      <td>  85</td>\n      <td> Day2</td>\n      <td> 11:00</td>\n      <td> T3</td>\n      <td>               HBase consistent secondary indexing</td>\n    </tr>\n    <tr>\n      <th>7990</th>\n      <td> 1500</td>\n      <td> 124</td>\n      <td> Day2</td>\n      <td> 12:00</td>\n      <td> T1</td>\n      <td> The simplicity of cluster apps with the Circui...</td>\n    </tr>\n    <tr>\n      <th>7991</th>\n      <td> 1500</td>\n      <td>  86</td>\n      <td> Day2</td>\n      <td> 14:10</td>\n      <td> T4</td>\n      <td>                         \ubd84\uc0b0 \ud658\uacbd\uc5d0\uc11c\uc758 \uc2a4\ud2b8\ub9bc\uacfc \ubc30\uce58 \ucc98\ub9ac \ud1b5\ud569 \ubaa8\ub378</td>\n    </tr>\n    <tr>\n      <th>7992</th>\n      <td> 1500</td>\n      <td>  93</td>\n      <td> Day2</td>\n      <td> 15:10</td>\n      <td> T3</td>\n      <td>              Enterprise Dataflow with Apache NiFi</td>\n    </tr>\n    <tr>\n      <th>7993</th>\n      <td> 1500</td>\n      <td>  83</td>\n      <td> Day2</td>\n      <td> 16:10</td>\n      <td> T1</td>\n      <td>             \ucf54\ub07c\ub9ac \ub0c9\uc7a5\uace0\uc5d0 \uc9d1\uc5b4\ub123\uae30 - \uc2e4\uc2dc\uac04 \ucd94\ucc9c\uc5d4\uc9c4\uc744 \uba38\uc2e0 \ud55c\ub300\uc5d0 \uad6c\uaca8\ub123\uae30</td>\n    </tr>\n  </tbody>\n</table>\n<p>7994 rows \u00d7 6 columns</p>\n</div>", "text/plain": "       uno  session_id   day   time zone  \\\n0        1         119  Day1  10:00   T3   \n1        1          76  Day1  11:00   T3   \n2        1         121  Day1  12:00   T1   \n3        1          88  Day1  14:10   T1   \n4        1         112  Day1  15:10   T2   \n5        1         109  Day1  16:10   T2   \n6        1          63  Day2  10:00   T2   \n7        1         117  Day2  11:00   T1   \n8        1         124  Day2  12:00   T1   \n9        1          91  Day2  14:10   T1   \n10       1          62  Day2  15:10   T4   \n11       1          83  Day2  16:10   T1   \n12       2         115  Day1  10:00   T1   \n13       2          89  Day1  11:00   T1   \n14       2          87  Day1  12:00   T3   \n15       2          88  Day1  14:10   T1   \n16       2         112  Day1  15:10   T2   \n17       2          75  Day1  16:10   T3   \n18       2          92  Day2  10:00   T1   \n19       2         117  Day2  11:00   T1   \n20       2          86  Day2  14:10   T4   \n21       2          83  Day2  16:10   T1   \n22       3         115  Day1  10:00   T1   \n23       3         116  Day1  11:00   T4   \n24       3          78  Day1  14:10   T4   \n25       3          70  Day1  15:10   T1   \n26       3          63  Day2  10:00   T2   \n27       3          82  Day2  12:00   T2   \n28       3          91  Day2  14:10   T1   \n29       3          93  Day2  15:10   T3   \n...    ...         ...   ...    ...  ...   \n7964  1491          69  Day2  12:00   T3   \n7965  1491          68  Day2  14:10   T3   \n7966  1491          73  Day2  15:10   T1   \n7967  1491          83  Day2  16:10   T1   \n7968  1492          92  Day2  10:00   T1   \n7969  1492         125  Day2  11:00   T4   \n7970  1492          91  Day2  14:10   T1   \n7971  1492          84  Day2  15:10   T2   \n7972  1492          83  Day2  16:10   T1   \n7973  1493         116  Day1  11:00   T4   \n7974  1495          63  Day2  10:00   T2   \n7975  1495         117  Day2  11:00   T1   \n7976  1495         124  Day2  12:00   T1   \n7977  1495          91  Day2  14:10   T1   \n7978  1495          73  Day2  15:10   T1   \n7979  1495          83  Day2  16:10   T1   \n7980  1496          63  Day2  10:00   T2   \n7981  1496         117  Day2  11:00   T1   \n7982  1497          95  Day1  10:00   T2   \n7983  1498          63  Day2  10:00   T2   \n7984  1498         117  Day2  11:00   T1   \n7985  1498          91  Day2  14:10   T1   \n7986  1498          73  Day2  15:10   T1   \n7987  1498          83  Day2  16:10   T1   \n7988  1500         123  Day2  10:00   T4   \n7989  1500          85  Day2  11:00   T3   \n7990  1500         124  Day2  12:00   T1   \n7991  1500          86  Day2  14:10   T4   \n7992  1500          93  Day2  15:10   T3   \n7993  1500          83  Day2  16:10   T1   \n\n                                                  title  \n0     Developing Android Libraries: Lessons from Realim  \n1                                    Quality without QA  \n2             Packetbeat \uacfc Elasticsearch \ub97c \uc774\uc6a9\ud55c \uc2e4\uc2dc\uac04 \ubaa8\ub2c8\ud130\ub9c1  \n3                                      React Everywhere  \n4                                      \uc6f9 \ube0c\ub77c\uc6b0\uc800 \uac10\uc625\uc5d0\uc11c \uc0b4\uc544\ub0a8\uae30  \n5                                  JPA\uc640 \ubaa8\ub358 \uc790\ubc14 \ub370\uc774\ud130 \uc800\uc7a5 \uae30\uc220  \n6     Large scale backend service development using ...  \n7                                  Docker Orchestration  \n8     The simplicity of cluster apps with the Circui...  \n9       Storm\uacfc Elasticsearch\ub97c \ud65c\uc6a9\ud55c \ub85c\uae45 \ud50c\ub7ab\ud3fc\uc758 \uc2e4\uc2dc\uac04 \uc54c\ub78c \uc2dc\uc2a4\ud15c \uad6c\ud604  \n10                                    Presto \ub0b4\ubd80 \uad6c\uc870 \ud30c\ud5e4\uce58\uae30  \n11                \ucf54\ub07c\ub9ac \ub0c9\uc7a5\uace0\uc5d0 \uc9d1\uc5b4\ub123\uae30 - \uc2e4\uc2dc\uac04 \ucd94\ucc9c\uc5d4\uc9c4\uc744 \uba38\uc2e0 \ud55c\ub300\uc5d0 \uad6c\uaca8\ub123\uae30  \n12                                  \ub124\uc774\ubc84 \ud6a8\uacfc\ud230\uc740 \uc5b4\ub5bb\uac8c \ub9cc\ub4e4\uc5b4\uc84c\ub098?  \n13                                       \ub124\uc774\ubc84 \ud6a8\uacfc\ud230 \uad6c\ud604 \uc774\uc57c\uae30  \n14                           \ube0c\ub77c\uc6b0\uc800\ub294 VSync \ub97c \uc5b4\ub5bb\uac8c \ud65c\uc6a9\ud558\uace0 \uc788\uc744\uae4c  \n15                                     React Everywhere  \n16                                     \uc6f9 \ube0c\ub77c\uc6b0\uc800 \uac10\uc625\uc5d0\uc11c \uc0b4\uc544\ub0a8\uae30  \n17    Accelerated compositing in WebKit: Now and in ...  \n18                                       \ub124\uc774\ubc84 \uac80\uc0c9\uacfc \ub370\uc774\ud130\ub9c8\uc774\ub2dd  \n19                                 Docker Orchestration  \n20                            \ubd84\uc0b0 \ud658\uacbd\uc5d0\uc11c\uc758 \uc2a4\ud2b8\ub9bc\uacfc \ubc30\uce58 \ucc98\ub9ac \ud1b5\ud569 \ubaa8\ub378  \n21                \ucf54\ub07c\ub9ac \ub0c9\uc7a5\uace0\uc5d0 \uc9d1\uc5b4\ub123\uae30 - \uc2e4\uc2dc\uac04 \ucd94\ucc9c\uc5d4\uc9c4\uc744 \uba38\uc2e0 \ud55c\ub300\uc5d0 \uad6c\uaca8\ub123\uae30  \n22                                  \ub124\uc774\ubc84 \ud6a8\uacfc\ud230\uc740 \uc5b4\ub5bb\uac8c \ub9cc\ub4e4\uc5b4\uc84c\ub098?  \n23                                   MIT Cheetah \ub85c\ubd07\uc758 \ud0c4\uc0dd  \n24                        Mobile \uc571\uc5d0\uc11c \ud6a8\uc728\uc801\uc778 storage \uc811\uadfc \ubc29\ubc95  \n25                        \uc601\uc0c1 \uc778\uc2dd\uc744 \ud1b5\ud55c \uc624\ud504\ub77c\uc778 \uace0\uac1d \ubd84\uc11d \uc194\ub8e8\uc158\uacfc \ub525\ub7ec\ub2dd  \n26    Large scale backend service development using ...  \n27      \uc218\ud37c\ucef4\ud4e8\ud305\uacfc \ub370\uc774\ud130 \uc5b4\ub0bc\ub9ac\ud2f1\uc2a4 \ud504\ub808\uc784\uc6cc\ud06c \uadf8\ub9ac\uace0 UNIST\uc758 \ube45\ub370\uc774\ud130 \ucc98\ub9ac \ud504\ub808\uc784\uc6cc\ud06c  \n28      Storm\uacfc Elasticsearch\ub97c \ud65c\uc6a9\ud55c \ub85c\uae45 \ud50c\ub7ab\ud3fc\uc758 \uc2e4\uc2dc\uac04 \uc54c\ub78c \uc2dc\uc2a4\ud15c \uad6c\ud604  \n29                 Enterprise Dataflow with Apache NiFi  \n...                                                 ...  \n7964  Level 2 Network Programming using PacketNgin RTOS  \n7965                            Turning data into value  \n7966             Implementing Deep Learning using cuDNN  \n7967              \ucf54\ub07c\ub9ac \ub0c9\uc7a5\uace0\uc5d0 \uc9d1\uc5b4\ub123\uae30 - \uc2e4\uc2dc\uac04 \ucd94\ucc9c\uc5d4\uc9c4\uc744 \uba38\uc2e0 \ud55c\ub300\uc5d0 \uad6c\uaca8\ub123\uae30  \n7968                                     \ub124\uc774\ubc84 \uac80\uc0c9\uacfc \ub370\uc774\ud130\ub9c8\uc774\ub2dd  \n7969                              \uae30\uacc4 \ubc88\uc5ed \ubaa8\ub378 \uae30\ubc18 \uc9c8\uc758 \uad50\uc815 \uc2dc\uc2a4\ud15c  \n7970    Storm\uacfc Elasticsearch\ub97c \ud65c\uc6a9\ud55c \ub85c\uae45 \ud50c\ub7ab\ud3fc\uc758 \uc2e4\uc2dc\uac04 \uc54c\ub78c \uc2dc\uc2a4\ud15c \uad6c\ud604  \n7971                                 \uc99d\ubd84 \ucc98\ub9ac \ud50c\ub7ab\ud3fc Cana \uac1c\ubc1c\uae30  \n7972              \ucf54\ub07c\ub9ac \ub0c9\uc7a5\uace0\uc5d0 \uc9d1\uc5b4\ub123\uae30 - \uc2e4\uc2dc\uac04 \ucd94\ucc9c\uc5d4\uc9c4\uc744 \uba38\uc2e0 \ud55c\ub300\uc5d0 \uad6c\uaca8\ub123\uae30  \n7973                                 MIT Cheetah \ub85c\ubd07\uc758 \ud0c4\uc0dd  \n7974  Large scale backend service development using ...  \n7975                               Docker Orchestration  \n7976  The simplicity of cluster apps with the Circui...  \n7977    Storm\uacfc Elasticsearch\ub97c \ud65c\uc6a9\ud55c \ub85c\uae45 \ud50c\ub7ab\ud3fc\uc758 \uc2e4\uc2dc\uac04 \uc54c\ub78c \uc2dc\uc2a4\ud15c \uad6c\ud604  \n7978             Implementing Deep Learning using cuDNN  \n7979              \ucf54\ub07c\ub9ac \ub0c9\uc7a5\uace0\uc5d0 \uc9d1\uc5b4\ub123\uae30 - \uc2e4\uc2dc\uac04 \ucd94\ucc9c\uc5d4\uc9c4\uc744 \uba38\uc2e0 \ud55c\ub300\uc5d0 \uad6c\uaca8\ub123\uae30  \n7980  Large scale backend service development using ...  \n7981                               Docker Orchestration  \n7982                                      \uc2e4\uc804 \uc2a4\uc704\ud504\ud2b8 \ud504\ub85c\uadf8\ub798\ubc0d  \n7983  Large scale backend service development using ...  \n7984                               Docker Orchestration  \n7985    Storm\uacfc Elasticsearch\ub97c \ud65c\uc6a9\ud55c \ub85c\uae45 \ud50c\ub7ab\ud3fc\uc758 \uc2e4\uc2dc\uac04 \uc54c\ub78c \uc2dc\uc2a4\ud15c \uad6c\ud604  \n7986             Implementing Deep Learning using cuDNN  \n7987              \ucf54\ub07c\ub9ac \ub0c9\uc7a5\uace0\uc5d0 \uc9d1\uc5b4\ub123\uae30 - \uc2e4\uc2dc\uac04 \ucd94\ucc9c\uc5d4\uc9c4\uc744 \uba38\uc2e0 \ud55c\ub300\uc5d0 \uad6c\uaca8\ub123\uae30  \n7988                  Data science with Apache Zeppelin  \n7989                HBase consistent secondary indexing  \n7990  The simplicity of cluster apps with the Circui...  \n7991                          \ubd84\uc0b0 \ud658\uacbd\uc5d0\uc11c\uc758 \uc2a4\ud2b8\ub9bc\uacfc \ubc30\uce58 \ucc98\ub9ac \ud1b5\ud569 \ubaa8\ub378  \n7992               Enterprise Dataflow with Apache NiFi  \n7993              \ucf54\ub07c\ub9ac \ub0c9\uc7a5\uace0\uc5d0 \uc9d1\uc5b4\ub123\uae30 - \uc2e4\uc2dc\uac04 \ucd94\ucc9c\uc5d4\uc9c4\uc744 \uba38\uc2e0 \ud55c\ub300\uc5d0 \uad6c\uaca8\ub123\uae30  \n\n[7994 rows x 6 columns]"}, "execution_count": 232}], "source": "schedules_ds"}, {"cell_type": "code", "execution_count": 235, "metadata": {"collapsed": false, "scrolled": false, "trusted": true}, "outputs": [], "source": "schedules_ds['hour'] = schedules_ds['time'].apply(lambda x : int(str(x).split(':')[0]))"}, {"cell_type": "code", "execution_count": 393, "metadata": {"collapsed": false, "scrolled": true, "trusted": true}, "outputs": [], "source": "import numpy as np\nfrom matplotlib import pyplot as plt\nfrom matplotlib import rcParams\nfrom matplotlib import cm, colors, _cm\nfrom mpl_toolkits.mplot3d import Axes3D\nimport seaborn as sns\nplt.style.use('ggplot')\nsns.set_style(\"whitegrid\")\nrcParams['font.family'] = 'NanumGothic'\nrcParams.update({'font.size': 12})\n\n"}, {"cell_type": "markdown", "metadata": {}, "source": " \uac00\uc7a5 \uc778\uae30\uc788\ub294 \ubc1c\ud45c \uc138\uc158\uc740 \ubb34\uc5c7\uc77c\uae4c?"}, {"cell_type": "code", "execution_count": 389, "metadata": {"collapsed": false, "trusted": true}, "outputs": [{"output_type": "display_data", "metadata": {}, "data": {"image/png": 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OmjdvnkpKShQXF6eoqCi1atWq7A78/NSvXz/t2rVLISEh2r17t/vrcnJyFBISUq9gLic3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"text/plain": "<matplotlib.figure.Figure at 0x118b11cf8>"}}], "source": "## title\nschedules_ds.groupby(['title']).count().sort(['uno'], ascending=False)['uno'][:20]\\\n    .plot(kind='bar',figsize=(12,8), title='\uc778\uae30 \ubc1c\ud45c \uc138\uc158 20') \nplt.show()"}, {"cell_type": "markdown", "metadata": {}, "source": " \uccab\ub0a0 \ubc1c\ud45c \uc138\uc158\uc774 \uc778\uae30\uac00 \ub9ce\uc740\ub4ef \ud558\ub2e4. \n"}, {"cell_type": "markdown", "metadata": {}, "source": "---\n\ud0c0\uc784\ud14c\uc774\ube14-\uad8c\uc5ed\ubcc4\ub85c \uc778\uae30\ub85c\ub97c \ubcf4\uc790"}, {"cell_type": "code", "execution_count": 302, "metadata": {"collapsed": false, "trusted": true}, "outputs": [], "source": "schedules_ds['day_hour'] = schedules_ds.apply( lambda r: r.day+' '+r.time, axis=1)"}, {"cell_type": "code", "execution_count": 390, "metadata": {"collapsed": false, "trusted": true}, "outputs": [{"output_type": "display_data", "metadata": {}, "data": {"image/png": 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sLy2ZSY++nphbmFOQW0DkN9+z8/M9dO7ekSf+FkTHru3QarWcPRnP5yu3kJuV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\nGH1HR1EDGQ4AAAAASUVORK5CYII=\n", "text/plain": "<matplotlib.figure.Figure at 0x11772c240>"}}], "source": "import seaborn as sns\nsns.set()\nplt.figure(figsize=(8,10))\n\nhour_zone = schedules_ds.groupby(['day_hour','zone']).size().reset_index().pivot('day_hour','zone',0)\nsns.heatmap(hour_zone, annot=True, fmt=\"d\", linewidths=.5)\nplt.show()"}, {"cell_type": "markdown", "metadata": {}, "source": "\uc774\ub807\uac8c \uadf8\ub824\ubcf4\ub2c8 \ud55c\ub208\uc5d0 \uc778\uae30 \uc788\ub294 \ubc1c\ud45c\uac00 \ubb34\uc5c7\uc778\uc9c0 \ubcf4\uc774\ub124~~\n\ub0b4\uc77c \uc2a4\ucf00\uc904\ud45c\uc758 \uc778\uae30\ub3c4\ub791 \uc2e4\uc81c\uccad\uc911\uc758 \uc218\uac00 \uc77c\uce58\ud558\ub294\uc9c0 \ud655\uc778\ud574 \ubd10\uc57c \uaca0\ub2e4. "}, {"cell_type": "markdown", "metadata": {}, "source": "### \uadf8\ub9ac\uace0 \uc6d0\ub798 \ud558\ub824\uace0 \ud588\ub358\uac83 \ubc1c\ud45c\uac04\uc758 \uad00\uacc4\ub3c4\ub97c \uadf8\ub824\ubcf4\uc790 \n* \ucd94\ucc9c\uc5d0\uc11c \ucc98\ub7fc \ud611\uc5c5 \ud544\ud130\ub9c1\uc73c\ub85c \ubc1c\ud45c\uac04 \uc720\uc0ac\ub3c4\ub97c \uad6c\ud558\uace0 \ud574\uc57c\ud558\ub294\ub370 \uc774 \ubd80\ubd84\uc740 word2vec\uc744 \uc774\uc6a9\ud558\uc5ec \uadf8\ub0e5 \uadf8\ub824\ubcf4\uc790 \n* \ub300\ucda9 \ud2b8\ub79c\ub4dc\ub9cc \ubcf4\uae30 \uc704\ud574 vector dimention\uc744 2\ub85c \ud558\uace0 \uadf8\ub824\ubcf4\uc790 "}, {"cell_type": "code", "execution_count": 379, "metadata": {"collapsed": false, "trusted": true}, "outputs": [], "source": "## training\ud560 \ub370\uc774\ud130 \ub9cc\ub4e4\uae30 \nimport random\ncorpus = []\n\nfor (uno, rows) in schedules_ds[:][['uno','title']].groupby('uno'):\n    titles = []\n    for idx, row in rows.iterrows():\n        titles.append(row.title[:20])\n    random.shuffle(titles)\n    corpus.append (titles)"}, {"cell_type": "code", "execution_count": 385, "metadata": {"collapsed": false, "trusted": true}, "outputs": [{"output_type": "stream", "text": "WARNING:gensim.models.word2vec:consider setting layer size to a multiple of 4 for greater performance\n", "name": "stderr"}], "source": "import gensim, logging\nmodel = gensim.models.Word2Vec(corpus, min_count=10,size=2, window=10)\n\n"}, {"cell_type": "code", "execution_count": 409, "metadata": {"collapsed": true, "trusted": true}, "outputs": [], "source": "def drawPlot(v, x, y):\n    v.plot(kind='scatter', x=x,y=y, figsize=(10,10))\n    for idx, pos in v.iterrows():\n        \n        plt.text(pos[x], pos[y], idx[:18], fontsize=14 )\n       \ndef draw3DPlot(v, x, y, z):\n    fig = plt.figure(figsize=(15,12))\n    threedee = fig.gca(projection='3d')\n    threedee.scatter(v[x], v[y],v[z] )\n    for idx, pos in v.iterrows():\n        threedee.text(pos[x], pos[y],pos[z],  idx )"}, {"cell_type": "code", "execution_count": 410, "metadata": {"collapsed": false, "trusted": true}, "outputs": [{"output_type": "display_data", "metadata": {}, "data": {"image/png": 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ITEw0Wot04MCBeHl50aRJEyDrqVROTk7MnDlTOcbBwYF58+Zx/vx5Jk2aRFpa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"text/plain": "<matplotlib.figure.Figure at 0x115044128>"}}], "source": "v = pd.DataFrame(model.syn0, index=model.vocab)\ndrawPlot(v,0,1)"}, {"cell_type": "code", "execution_count": 363, "metadata": {"collapsed": false, "trusted": true}, "outputs": [{"output_type": "execute_result", "metadata": {}, "data": {"text/plain": "{'Accelerated compositing in WebKit: Now and in the future': <gensim.models.word2vec.Vocab at 0x108bf1438>,\n 'Building Ethereum': <gensim.models.word2vec.Vocab at 0x116625240>,\n 'DRC-HUBO: Technical Review': <gensim.models.word2vec.Vocab at 0x116625550>,\n 'Data science with Apache Zeppelin': <gensim.models.word2vec.Vocab at 0x108bf1320>,\n 'Developing Android Libraries: Lessons from Realim': <gensim.models.word2vec.Vocab at 0x1166190f0>,\n 'Docker Orchestration': <gensim.models.word2vec.Vocab at 0x116619908>,\n 'Enterprise Dataflow with Apache NiFi': <gensim.models.word2vec.Vocab at 0x108bf12e8>,\n 'HBase consistent secondary indexing': <gensim.models.word2vec.Vocab at 0x108bf1dd8>,\n 'How Riot Works': <gensim.models.word2vec.Vocab at 0x116625048>,\n 'Immersive Sound for VR': <gensim.models.word2vec.Vocab at 0x116625390>,\n 'Implementing Deep Learning using cuDNN': <gensim.models.word2vec.Vocab at 0x1166251d0>,\n 'JPA\uc640 \ubaa8\ub358 \uc790\ubc14 \ub370\uc774\ud130 \uc800\uc7a5 \uae30\uc220': <gensim.models.word2vec.Vocab at 0x116619cf8>,\n 'LINE on Apple Watch': <gensim.models.word2vec.Vocab at 0x1166252e8>,\n 'Large scale backend service development using Node.js Docker and AWS': <gensim.models.word2vec.Vocab at 0x116619198>,\n 'Large-Scale Deep Learning on Spark': <gensim.models.word2vec.Vocab at 0x1166254e0>,\n 'Level 2 Network Programming using PacketNgin RTOS': <gensim.models.word2vec.Vocab at 0x108bf16d8>,\n 'MIT Cheetah \ub85c\ubd07\uc758 \ud0c4\uc0dd': <gensim.models.word2vec.Vocab at 0x108bf1240>,\n 'Mobile \uc571\uc5d0\uc11c \ud6a8\uc728\uc801\uc778 storage \uc811\uadfc \ubc29\ubc95': <gensim.models.word2vec.Vocab at 0x108bf1a90>,\n 'Netflix \ube45\ub370\uc774\ud130 \ud50c\ub7ab\ud3fc + Apache Spark \ud1b5\ud569 \uacbd\ud5d8\uae30': <gensim.models.word2vec.Vocab at 0x116625588>,\n 'Packetbeat \uacfc Elasticsearch \ub97c \uc774\uc6a9\ud55c \uc2e4\uc2dc\uac04 \ubaa8\ub2c8\ud130\ub9c1': <gensim.models.word2vec.Vocab at 0x116619da0>,\n 'Presto \ub0b4\ubd80 \uad6c\uc870 \ud30c\ud5e4\uce58\uae30': <gensim.models.word2vec.Vocab at 0x116619940>,\n 'Quality without QA': <gensim.models.word2vec.Vocab at 0x116619128>,\n 'React Everywhere': <gensim.models.word2vec.Vocab at 0x116619ba8>,\n 'Rust \ud504\ub85c\uadf8\ub798\ubc0d \uc5b8\uc5b4': <gensim.models.word2vec.Vocab at 0x1151cb898>,\n 'S2Graph: A Large scale graph database with HBase': <gensim.models.word2vec.Vocab at 0x108bf1898>,\n 'Storm\uacfc Elasticsearch\ub97c \ud65c\uc6a9\ud55c \ub85c\uae45 \ud50c\ub7ab\ud3fc\uc758 \uc2e4\uc2dc\uac04 \uc54c\ub78c \uc2dc\uc2a4\ud15c \uad6c\ud604': <gensim.models.word2vec.Vocab at 0x1166191d0>,\n 'The simplicity of cluster apps with the Circuit: Implementing a job scheduler': <gensim.models.word2vec.Vocab at 0x116619278>,\n 'Turning data into value': <gensim.models.word2vec.Vocab at 0x116625080>,\n 'WIFI\ub97c \uc774\uc6a9\ud55c \uc2e4\ub0b4 \uc7a5\uc18c \uc778\uc2dd \ud558\uae30': <gensim.models.word2vec.Vocab at 0x1166250f0>,\n '\uae30\uacc4 \ubc88\uc5ed \ubaa8\ub378 \uae30\ubc18 \uc9c8\uc758 \uad50\uc815 \uc2dc\uc2a4\ud15c': <gensim.models.word2vec.Vocab at 0x116625470>,\n '\ub124\uc774\ubc84 \uac80\uc0c9\uacfc \ub370\uc774\ud130\ub9c8\uc774\ub2dd': <gensim.models.word2vec.Vocab at 0x108bf1908>,\n '\ub124\uc774\ubc84 \ud6a8\uacfc\ud230 \uad6c\ud604 \uc774\uc57c\uae30': <gensim.models.word2vec.Vocab at 0x108bf1b70>,\n '\ub124\uc774\ubc84 \ud6a8\uacfc\ud230\uc740 \uc5b4\ub5bb\uac8c \ub9cc\ub4e4\uc5b4\uc84c\ub098?': <gensim.models.word2vec.Vocab at 0x108bf16a0>,\n '\ub300\uaddc\ubaa8 \ubd84\uc0b0\ud658\uacbd\uc5d0 \ucd5c\uc801\ud654\ub41c APM:Pinpoint': <gensim.models.word2vec.Vocab at 0x1166255c0>,\n '\ub300\ud654 \uc2dc\uc2a4\ud15c \uc11c\ube44\uc2a4 \ub3d9\ud5a5 \ubc0f \uac1c\ubc1c \ubc29\ubc95': <gensim.models.word2vec.Vocab at 0x116625320>,\n '\ub370\uc774\ud130 \uc13c\ud130\uc758 \uc624\ud508 \uc18c\uc2a4 Open Compute Project (OCP)': <gensim.models.word2vec.Vocab at 0x1166253c8>,\n '\ub370\uc774\ud130\uc0ac\uc774\uc5b8\uc2a4\ud300 \ube4c\ub529 \uadf8\ub9ac\uace0 \uc2dc\uc2a4\ud15c \uad6c\ucd95': <gensim.models.word2vec.Vocab at 0x116625358>,\n '\ub525\ub7ec\ub2dd\uc5d0\uc11c \uc2a4\ud2b8\ub9bc\ucc98\ub9ac\uae4c\uc9c0: \ube45\ub370\uc774\ud130 \ubd84\uc11d \uba54\ud0c0 \ud504\ub808\uc784\uc6cc\ud06c Apache REEF': <gensim.models.word2vec.Vocab at 0x116625518>,\n '\ubd84\uc0b0 \ud658\uacbd\uc5d0\uc11c\uc758 \uc2a4\ud2b8\ub9bc\uacfc \ubc30\uce58 \ucc98\ub9ac \ud1b5\ud569 \ubaa8\ub378': <gensim.models.word2vec.Vocab at 0x108bf1cf8>,\n '\ube0c\ub77c\uc6b0\uc800\ub294 VSync \ub97c \uc5b4\ub5bb\uac8c \ud65c\uc6a9\ud558\uace0 \uc788\uc744\uae4c': <gensim.models.word2vec.Vocab at 0x108bf14a8>,\n '\uc0b0\uc5c5 \ud604\uc7a5\uc744 \uc704\ud55c \uc99d\uac15 \ud604\uc2e4 \uae30\uae30 DAQRI Helmet \uac1c\ubc1c\uae30': <gensim.models.word2vec.Vocab at 0x1166254a8>,\n '\uc218\ud37c\ucef4\ud4e8\ud305\uacfc \ub370\uc774\ud130 \uc5b4\ub0bc\ub9ac\ud2f1\uc2a4 \ud504\ub808\uc784\uc6cc\ud06c \uadf8\ub9ac\uace0 UNIST\uc758 \ube45\ub370\uc774\ud130 \ucc98\ub9ac \ud504\ub808\uc784\uc6cc\ud06c': <gensim.models.word2vec.Vocab at 0x108bf15c0>,\n '\uc2e4\uc804 \uc2a4\uc704\ud504\ud2b8 \ud504\ub85c\uadf8\ub798\ubc0d': <gensim.models.word2vec.Vocab at 0x108bf1208>,\n '\uc548\ub4dc\ub85c\uc774\ub4dc \uae30\ubc18\uc758 \ubaa8\ubc14\uc77c \ud608\uc561\uc9c4\ub2e8\uae30 \uac1c\ubc1c \uc0bd\uc9c8\uae30 \uadf8\ub9ac\uace0 \uc6b0\ub9ac\uac00 \uc313\uc740 \uacbd\ud5d8': <gensim.models.word2vec.Vocab at 0x1166252b0>,\n '\uc601\uc0c1 \uc778\uc2dd\uc744 \ud1b5\ud55c \uc624\ud504\ub77c\uc778 \uace0\uac1d \ubd84\uc11d \uc194\ub8e8\uc158\uacfc \ub525\ub7ec\ub2dd': <gensim.models.word2vec.Vocab at 0x108bf1eb8>,\n '\uc6f9 \ube0c\ub77c\uc6b0\uc800 \uac10\uc625\uc5d0\uc11c \uc0b4\uc544\ub0a8\uae30': <gensim.models.word2vec.Vocab at 0x116619160>,\n '\uc99d\ubd84 \ucc98\ub9ac \ud50c\ub7ab\ud3fc Cana \uac1c\ubc1c\uae30': <gensim.models.word2vec.Vocab at 0x116625278>,\n '\ucf54\ub07c\ub9ac \ub0c9\uc7a5\uace0\uc5d0 \uc9d1\uc5b4\ub123\uae30 - \uc2e4\uc2dc\uac04 \ucd94\ucc9c\uc5d4\uc9c4\uc744 \uba38\uc2e0 \ud55c\ub300\uc5d0 \uad6c\uaca8\ub123\uae30': <gensim.models.word2vec.Vocab at 0x116619080>}"}, "execution_count": 363}], "source": "model.vocab"}]}