0.1-ricardoalanis-pruebahipotesispautados.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import dateutil\n",
    "import datetime\n",
    "import numpy as np\n",
    "API_KEY = os.environ[\"bing_api\"]\n",
    "import bingsearch\n",
    "\n",
    "from py_bing_search import PyBingWebSearch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#Variables a considerar\n",
    "#n Multiplicador para la mediana, asegura que el post que marcamos como pautado sea en escala bastate mas grande que la mediana de la pagina. \n",
    "n_times_bigger = 3.5\n",
    "#Ademas de la escala absoluta de likes minimos que debe de superar en una pagina, asegurarnos tambien que esta en el top 1% de la pagina\n",
    "percentile_local = 95\n",
    "#Ademas, confirmamos su relevancia comparandolo contra top 5% \n",
    "percentile_campaign = 95"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#Seccion de consultas a Facebok\n",
    "import requests\n",
    "import os\n",
    "\n",
    "client_id = os.environ['client_id']\n",
    "client_secret = os.environ['client_secret']\n",
    "\n",
    "\n",
    "def token():\n",
    "    r = requests.get('https://graph.facebook.com/oauth/access_token?grant_type=client_credentials&client_id='+client_id+'&client_secret='+client_secret)\n",
    "    access_token = r.text.split('=')[1]\n",
    "    return access_token\n",
    "\n",
    "\n",
    "def base_url(facebook_id,object_type, token):\n",
    "    url_base = 'https://graph.facebook.com/v2.5/'+facebook_id+'/'+object_type+'/?fields=likes.summary(true),created_time&access_token='+ token \n",
    "    return url_base\n",
    "\n",
    "def facebook_data(facebook_id, object_type, token):\n",
    "    #when object type = \"posts\", gets posts, when \"comments\", gets comments.\n",
    "    url_base = base_url(facebook_id,object_type, token)\n",
    "    next_page, data = next_page_data(url_base,url_base)\n",
    "    posts = []\n",
    "    #itera sobre posts\n",
    "    while next_page is not None:\n",
    "        posts = posts + data\n",
    "        next_page,data = next_page_data(next_page,url_base)\n",
    "        last_created = posts[-1][\"created_time\"]\n",
    "        #Solo considero, para este experimento, datos de actividad sobre esta quincena\n",
    "        date_minus  =dateutil.parser.parse(last_created).replace(tzinfo=None)>(datetime.datetime.now()-datetime.timedelta(days=15))\n",
    "        if date_minus == False:\n",
    "            next_page= None\n",
    "    return posts\n",
    "\n",
    "\n",
    "def next_url(r, url_base):\n",
    "        try:\n",
    "            next_cursor = r.json()['paging']['cursors']['after']\n",
    "            next_page = url_base + \"&after=\"+ next_cursor\n",
    "            data = r.json()[\"data\"]\n",
    "        except:\n",
    "            next_page = None\n",
    "            data = None\n",
    "        return next_page,data\n",
    "\n",
    "\n",
    "def next_page_data(pagination_token,url_base):\n",
    "    r = requests.get(pagination_token)\n",
    "    try:\n",
    "        next_page = r.json()[\"paging\"][\"next\"]\n",
    "        data = r.json()[\"data\"]\n",
    "    except:\n",
    "        next_page, data = next_url(r, url_base)\n",
    "    return next_page, data\n",
    "\n",
    "\n",
    "def get_single_post(post_id, token):\n",
    "    data = []\n",
    "    try:\n",
    "        url = 'https://graph.facebook.com/v2.5/'+post_id+'/?limit=100&access_token='+ token\n",
    "        r = requests.get(url)\n",
    "        data = r.json()\n",
    "    except:\n",
    "        data\n",
    "    return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#Empiezan funciones para trabajar con los likes de la página y de todas las páginas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def get_post_likes(post):\n",
    "    likes = post[\"likes\"][\"summary\"][\"total_count\"]\n",
    "    return likes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def get_page_likes(posts):\n",
    "    likes = []\n",
    "    for post in posts:\n",
    "        likes.append(post[\"likes\"][\"summary\"][\"total_count\"])\n",
    "    return likes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def get_page_average(likes):\n",
    "    average = np.average(likes)\n",
    "    return average"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def get_campaign_percentile(pages_to_research):\n",
    "    pages_likes = []\n",
    "    for page in pages_to_research:\n",
    "        pages_likes = pages_likes + sample_pages[page]\n",
    "    campaign_percentile = np.percentile(pages_likes, percentile_campaign)\n",
    "    return(campaign_percentile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def construct_sample_pages(pages_to_research):\n",
    "    output_dict = {}\n",
    "    for page in pages_to_research:\n",
    "        print(page)\n",
    "        output_dict[page] = get_page_likes(facebook_data(page,\"posts\",token()))\n",
    "    return output_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def get_page_suspects(page, campaign_percentile_likes):\n",
    "    page_likes = facebook_data(page,\"posts\",token())\n",
    "    page_median = np.median(sample_pages[page])\n",
    "    page_percentile = np.percentile(sample_pages[page],percentile_local)\n",
    "    print(\"Mediana Observada de la Pagina: \" + str(page_median))\n",
    "    print(\"Criterio sobre escala relativa para relevancia: \" + str(4.0*page_median))\n",
    "    print(\"Percentil \"+ str(percentile_local)+\" para la pagina, criterio de relevancia con respecto a la página: \" + str(page_percentile))\n",
    "    graph_page_likes(sample_pages[page])\n",
    "    for post in page_likes:\n",
    "        post_likes_count = get_post_likes(post)\n",
    "        if post_likes_count > campaign_percentile_likes and post_likes_count > n_times_bigger*page_median and post_likes_count >page_percentile:\n",
    "            print(\"http://facebook.com/\"+post[\"id\"])\n",
    "            print(\"Con \" + str(post[\"likes\"][\"summary\"][\"total_count\"])+ \" likes\")\n",
    "    return None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "def graph_page_likes(likes):\n",
    "    df = pd.DataFrame(likes, columns=[\"likes\"]) \n",
    "    df.likes.hist()\n",
    "    return None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Esta muestra se compone de algunas paginas que vienen de bing, y otras algunas de nuestras palabras clave."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pages_to_research = [\"mileniotamaulipas\",\"diaadiatamaulipas\",\"jorgevaldezprd\",\"vocesdetamaulipas\", \"PanuchosConLoMismo\", \"BaltazarMHO\",\"JRGomezLeal\",\"Heroesportamaulipas\",\"512625095586982\",\"Polaka-MX-451919474993042\",\"569992939832190\",\"93519806656558\",\"229944520679877\",'GobEdoSLP', 'elnortedetamaulipas', 'tamaulipasviolento', 'ColumnaTamaulipas', 'comapa', 'AlejandroEtienneLl', 'GobTamaulipas', 'GobiernoValleHermoso', '1423298177883179', 'TvAztecaTamaulipas', 'MorenaNuevoLaredoTamaulipas', '298283660353620', '1702641299874861', 'GobMante', 'MatamorosGob', '495541850492961', 'GobiernoAltamira', 'TamulipasDespierta', 'cntamaulipas', 'chavirasabe', '503164129801890', 'pritamaulipasgralleandrovalle', 'ITAVUVALLEHERMOSO', 'Sedesolestatalreynosa', '104596029579775', 'BroncosDeTamaulipas', 'mundo', 'egidiotorrecantu', 'gobiernodenuevolaredo', 'primatamorostam', 'UniversidadAutonomadeTamaulipasOficial', '221469451197833', 'Tamaulipeco2014', '367006130037826', 'EmilioMartinezManautou', 'gobiernodereynosa', '463599270403450', 'NoticiasDeTampico', 'gobvictoria', 'PanCdeTamaulipas', 'ectivismoTamaulipas', '178138065555352', 'reportene', '202326263177475', '116252285133985', '122601741087634', 'IJTamaulipas', 'Snte30', 'ReynosaCodigoRojo', 'AlejandroGuevaraC2015', '353040038107573', 'BlancaVallesRdz', 'CNOPTamps', 'AriasConsultores', 'AyuntamientoGonzalez2013', 'DefensoriaIDPET', 'sedesolvh', '359304770792599', 'EugenioHdezFlores', '337586269750419', 'UTMarT', 'elsoldelsurtampico']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mileniotamaulipas\n",
      "diaadiatamaulipas\n",
      "jorgevaldezprd\n",
      "vocesdetamaulipas\n",
      "PanuchosConLoMismo\n",
      "BaltazarMHO\n",
      "JRGomezLeal\n",
      "Heroesportamaulipas\n",
      "512625095586982\n",
      "Polaka-MX-451919474993042\n",
      "569992939832190\n",
      "93519806656558\n",
      "229944520679877\n",
      "GobEdoSLP\n",
      "elnortedetamaulipas\n",
      "tamaulipasviolento\n",
      "ColumnaTamaulipas\n",
      "comapa\n",
      "AlejandroEtienneLl\n",
      "GobTamaulipas\n",
      "GobiernoValleHermoso\n",
      "1423298177883179\n",
      "TvAztecaTamaulipas\n",
      "MorenaNuevoLaredoTamaulipas\n",
      "298283660353620\n",
      "1702641299874861\n",
      "GobMante\n",
      "MatamorosGob\n",
      "495541850492961\n",
      "GobiernoAltamira\n",
      "TamulipasDespierta\n",
      "cntamaulipas\n",
      "chavirasabe\n",
      "503164129801890\n",
      "pritamaulipasgralleandrovalle\n",
      "ITAVUVALLEHERMOSO\n",
      "Sedesolestatalreynosa\n",
      "104596029579775\n",
      "BroncosDeTamaulipas\n",
      "mundo\n",
      "egidiotorrecantu\n",
      "gobiernodenuevolaredo\n",
      "primatamorostam\n",
      "UniversidadAutonomadeTamaulipasOficial\n",
      "221469451197833\n",
      "Tamaulipeco2014\n",
      "367006130037826\n",
      "EmilioMartinezManautou\n",
      "gobiernodereynosa\n",
      "463599270403450\n",
      "NoticiasDeTampico\n",
      "gobvictoria\n",
      "PanCdeTamaulipas\n",
      "ectivismoTamaulipas\n",
      "178138065555352\n",
      "reportene\n",
      "202326263177475\n",
      "116252285133985\n",
      "122601741087634\n",
      "IJTamaulipas\n",
      "Snte30\n",
      "ReynosaCodigoRojo\n",
      "AlejandroGuevaraC2015\n",
      "353040038107573\n",
      "BlancaVallesRdz\n",
      "CNOPTamps\n",
      "AriasConsultores\n",
      "AyuntamientoGonzalez2013\n",
      "DefensoriaIDPET\n",
      "sedesolvh\n",
      "359304770792599\n",
      "EugenioHdezFlores\n",
      "337586269750419\n",
      "UTMarT\n",
      "elsoldelsurtampico\n"
     ]
    }
   ],
   "source": [
    "sample_pages = construct_sample_pages(pages_to_research)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "campaign_percentile_likes = get_campaign_percentile(pages_to_research)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def evaluate_page_by_pos(pos):\n",
    "    page = pages_to_research[pos]\n",
    "    print(\"Investigando http://facebook.com/\" + page)\n",
    "    print(\"Percentil de Likes para Pasar el criterio de tamaño relativo con respecto a la campaña: \" +str(campaign_percentile_likes))\n",
    "    try:\n",
    "        get_page_suspects(page, campaign_percentile_likes)\n",
    "    except:\n",
    "        print(\"Sin Posts en el momento\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Investigando http://facebook.com/PanuchosConLoMismo\n",
      "Percentil de Likes para Pasar el criterio de tamaño relativo con respecto a la campaña: 678.1\n",
      "Mediana Observada de la Pagina: 448.0\n",
      "Criterio sobre escala relativa para relevancia: 1792.0\n",
      "Percentil 95 para la pagina, criterio de relevancia con respecto a la página: 6393.0\n",
      "http://facebook.com/153971758336979_164651060602382\n",
      "Con 14493 likes\n",
      "http://facebook.com/153971758336979_163924914008330\n",
      "Con 6618 likes\n",
      "http://facebook.com/153971758336979_157741664626655\n",
      "Con 18548 likes\n",
      "http://facebook.com/153971758336979_155848571482631\n",
      "Con 7288 likes\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11492c2e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "evaluate_page_by_pos(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Investigando http://facebook.com/mileniotamaulipas\n",
      "Percentil de Likes para Pasar el criterio de tamaño relativo con respecto a la campaña: 678.1\n",
      "Mediana Observada de la Pagina: 97.5\n",
      "Criterio sobre escala relativa para relevancia: 390.0\n",
      "Percentil 95 para la pagina, criterio de relevancia con respecto a la página: 608.2\n",
      "http://facebook.com/227796447316928_991170754312823\n",
      "Con 924 likes\n",
      "http://facebook.com/227796447316928_989262077837024\n",
      "Con 823 likes\n",
      "http://facebook.com/227796447316928_988812254548673\n",
      "Con 951 likes\n",
      "http://facebook.com/227796447316928_988277364602162\n",
      "Con 1982 likes\n",
      "http://facebook.com/227796447316928_986957604734138\n",
      "Con 757 likes\n",
      "http://facebook.com/227796447316928_986079148155317\n",
      "Con 2203 likes\n",
      "http://facebook.com/227796447316928_986005858162646\n",
      "Con 1063 likes\n",
      "http://facebook.com/227796447316928_985983021498263\n",
      "Con 2202 likes\n",
      "http://facebook.com/227796447316928_984765728286659\n",
      "Con 701 likes\n",
      "http://facebook.com/227796447316928_984181458345086\n",
      "Con 763 likes\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1146d37b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "evaluate_page_by_pos(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Investigando http://facebook.com/BaltazarMHO\n",
      "Percentil de Likes para Pasar el criterio de tamaño relativo con respecto a la campaña: 678.1\n",
      "Mediana Observada de la Pagina: 1101.0\n",
      "Criterio sobre escala relativa para relevancia: 4404.0\n",
      "Percentil 95 para la pagina, criterio de relevancia con respecto a la página: 3815.2\n",
      "http://facebook.com/90952323082_10154291820908083\n",
      "Con 4440 likes\n",
      "http://facebook.com/90952323082_10154285277398083\n",
      "Con 4853 likes\n",
      "http://facebook.com/90952323082_10154280802828083\n",
      "Con 4195 likes\n",
      "http://facebook.com/90952323082_10154266133338083\n",
      "Con 5093 likes\n",
      "http://facebook.com/90952323082_10154259015333083\n",
      "Con 3887 likes\n",
      "http://facebook.com/90952323082_10154256917278083\n",
      "Con 4084 likes\n",
      "http://facebook.com/90952323082_10154254668983083\n",
      "Con 3899 likes\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1146c0ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "evaluate_page_by_pos(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Investigando http://facebook.com/569992939832190\n",
      "Percentil de Likes para Pasar el criterio de tamaño relativo con respecto a la campaña: 678.1\n",
      "Mediana Observada de la Pagina: 4.0\n",
      "Criterio sobre escala relativa para relevancia: 16.0\n",
      "Percentil 95 para la pagina, criterio de relevancia con respecto a la página: 18.4\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1138ef278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "evaluate_page_by_pos(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Investigando http://facebook.com/GobiernoValleHermoso\n",
      "Percentil de Likes para Pasar el criterio de tamaño relativo con respecto a la campaña: 678.1\n",
      "Mediana Observada de la Pagina: 33.0\n",
      "Criterio sobre escala relativa para relevancia: 132.0\n",
      "Percentil 95 para la pagina, criterio de relevancia con respecto a la página: 124.6\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x110e04780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "evaluate_page_by_pos(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Investigando http://facebook.com/egidiotorrecantu\n",
      "Percentil de Likes para Pasar el criterio de tamaño relativo con respecto a la campaña: 678.1\n",
      "Mediana Observada de la Pagina: 339.0\n",
      "Criterio sobre escala relativa para relevancia: 1356.0\n",
      "Percentil 95 para la pagina, criterio de relevancia con respecto a la página: 558.4\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x110144518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "evaluate_page_by_pos(40)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Este caso está interesante. Suena a un caso especial, o tiene mucha gente poniendo likes, o todos sus posts son promovidos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Investigando http://facebook.com/cntamaulipas\n",
      "Percentil de Likes para Pasar el criterio de tamaño relativo con respecto a la campaña: 678.1\n",
      "Mediana Observada de la Pagina: 0.0\n",
      "Criterio sobre escala relativa para relevancia: 0.0\n",
      "Percentil 95 para la pagina, criterio de relevancia con respecto a la página: 4.0\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x114438550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "evaluate_page_by_pos(31)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Investigando http://facebook.com/GobMante\n",
      "Percentil de Likes para Pasar el criterio de tamaño relativo con respecto a la campaña: 678.1\n",
      "Mediana Observada de la Pagina: 29.0\n",
      "Criterio sobre escala relativa para relevancia: 116.0\n",
      "Percentil 95 para la pagina, criterio de relevancia con respecto a la página: 69.2\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11440e048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "evaluate_page_by_pos(26)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Investigando http://facebook.com/Tamaulipeco2014\n",
      "Percentil de Likes para Pasar el criterio de tamaño relativo con respecto a la campaña: 678.1\n",
      "Mediana Observada de la Pagina: 7.0\n",
      "Criterio sobre escala relativa para relevancia: 28.0\n",
      "Percentil 95 para la pagina, criterio de relevancia con respecto a la página: 99.2\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11390df28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "evaluate_page_by_pos(45)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "El de 400, es potencialmente sponsoreado, pero no tiene la tracción para ser relevante."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.4.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}