{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a1b2c3d4",
   "metadata": {},
   "source": [
    "# EDA: happy_robot_publicpublic.run_events\n",
    "\n",
    "Exploratory analysis of Happy Robot AI agent interactions for glass/luna operations (Mutua insurance).\n",
    "\n",
    "- 72 rows from BigQuery via Metabase API\n",
    "- Fields: classification, metrics (duration, messages, filler words), triage/workflow outcomes, center info"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1c2d3e4",
   "metadata": {},
   "source": [
    "## 1. Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c1d2e3f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "from dotenv import load_dotenv\n",
    "load_dotenv()\n",
    "\n",
    "import sys\n",
    "sys.path.insert(0, os.path.join(os.environ[\"FN_REGISTRY_ROOT\"], \"python\", \"functions\"))\n",
    "from metabase.client import MetabaseClient\n",
    "\n",
    "client = MetabaseClient(os.environ[\"METABASE_URL\"], os.environ[\"METABASE_API_KEY\"])\n",
    "\n",
    "def query_to_df(sql: str) -> pd.DataFrame:\n",
    "    \"\"\"Execute SQL against BigQuery via Metabase API, return DataFrame.\"\"\"\n",
    "    result = client.request('POST', '/api/dataset', json={\n",
    "        'database': 6, 'type': 'native', 'native': {'query': sql}\n",
    "    })\n",
    "    cols = [c['name'] for c in result['data']['cols']]\n",
    "    return pd.DataFrame(result['data']['rows'], columns=cols)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1e2f3a4",
   "metadata": {},
   "source": [
    "## 2. Carga de datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e1f2a3b4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rows: 73, Columns: 42\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['id',\n",
       " 'run_id',\n",
       " 'environment',\n",
       " 'time',\n",
       " 'source',\n",
       " 'center_nav_id',\n",
       " 'org_name',\n",
       " 'redirect_reason',\n",
       " 'created_at',\n",
       " 'updated_at',\n",
       " 'glass_operation',\n",
       " 'last_tool',\n",
       " 'policy_error',\n",
       " 'triage_successful',\n",
       " 'total_errors',\n",
       " 'classification',\n",
       " 'quote_no',\n",
       " 'unnecessary_question_ratio',\n",
       " 'summary',\n",
       " 'rgpd',\n",
       " 'license_plate',\n",
       " 'zip_code',\n",
       " 'another_workshop',\n",
       " 'agent_tone',\n",
       " 'reasoning',\n",
       " 'to_number',\n",
       " 'total_messages',\n",
       " 'appointment_date',\n",
       " 'tool_retry',\n",
       " 'is_garbage',\n",
       " 'workflow_ok',\n",
       " 'filler_words',\n",
       " 'centers_count',\n",
       " 'redirect_error',\n",
       " 'relevant_keywords',\n",
       " 'schedule_preference',\n",
       " 'agent_total_messages',\n",
       " 'unnecesary_questions',\n",
       " 'internal_actions_verbalizations',\n",
       " 'duration',\n",
       " 'raw_payload',\n",
       " 'datastream_metadata']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = query_to_df(\"SELECT * FROM happy_robot_publicpublic.run_events\")\n",
    "print(f\"Rows: {len(df)}, Columns: {len(df.columns)}\")\n",
    "df.columns.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f1a2b3c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                                                     int64\n",
       "run_id                                                   str\n",
       "environment                                              str\n",
       "time                               datetime64[us, UTC+02:00]\n",
       "source                                                   str\n",
       "center_nav_id                                            str\n",
       "org_name                                                 str\n",
       "redirect_reason                                          str\n",
       "created_at                         datetime64[us, UTC+02:00]\n",
       "updated_at                                               str\n",
       "glass_operation                                          str\n",
       "last_tool                                                str\n",
       "policy_error                                             str\n",
       "triage_successful                                        str\n",
       "total_errors                                         float64\n",
       "classification                                           str\n",
       "quote_no                                                 str\n",
       "unnecessary_question_ratio                           float64\n",
       "summary                                                  str\n",
       "rgpd                                                     str\n",
       "license_plate                                            str\n",
       "zip_code                                                 str\n",
       "another_workshop                                         str\n",
       "agent_tone                                               str\n",
       "reasoning                                                str\n",
       "to_number                                                str\n",
       "total_messages                                       float64\n",
       "appointment_date                                         str\n",
       "tool_retry                                           float64\n",
       "is_garbage                                               str\n",
       "workflow_ok                                              str\n",
       "filler_words                                         float64\n",
       "centers_count                                        float64\n",
       "redirect_error                                           str\n",
       "relevant_keywords                                        str\n",
       "schedule_preference                                      str\n",
       "agent_total_messages                                 float64\n",
       "unnecesary_questions                                 float64\n",
       "internal_actions_verbalizations                      float64\n",
       "duration                                               int64\n",
       "raw_payload                                              str\n",
       "datastream_metadata                                   object\n",
       "dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cast numeric columns\n",
    "numeric_cols = [\n",
    "    'duration', 'total_messages', 'filler_words', 'unnecessary_question_ratio',\n",
    "    'tool_retry', 'centers_count', 'agent_total_messages',\n",
    "    'unnecesary_questions', 'internal_actions_verbalizations', 'total_errors'\n",
    "]\n",
    "for col in numeric_cols:\n",
    "    if col in df.columns:\n",
    "        df[col] = pd.to_numeric(df[col], errors='coerce')\n",
    "\n",
    "# Parse datetime columns\n",
    "for col in ['time', 'created_at']:\n",
    "    if col in df.columns:\n",
    "        df[col] = pd.to_datetime(df[col], errors='coerce')\n",
    "\n",
    "df.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2b3c4d5",
   "metadata": {},
   "source": [
    "## 3. Vista general"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b2c3d4e5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape: (73, 42)\n",
      "\n",
      "Null counts:\n",
      "total_errors                       73\n",
      "unnecessary_question_ratio          5\n",
      "total_messages                      5\n",
      "tool_retry                          5\n",
      "filler_words                        5\n",
      "centers_count                      26\n",
      "agent_total_messages                5\n",
      "unnecesary_questions                5\n",
      "internal_actions_verbalizations     5\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>total_errors</th>\n",
       "      <th>unnecessary_question_ratio</th>\n",
       "      <th>total_messages</th>\n",
       "      <th>tool_retry</th>\n",
       "      <th>filler_words</th>\n",
       "      <th>centers_count</th>\n",
       "      <th>agent_total_messages</th>\n",
       "      <th>unnecesary_questions</th>\n",
       "      <th>internal_actions_verbalizations</th>\n",
       "      <th>duration</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>73.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>47.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>73.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>37.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.882353</td>\n",
       "      <td>21.602941</td>\n",
       "      <td>0.661765</td>\n",
       "      <td>1.338235</td>\n",
       "      <td>1.510638</td>\n",
       "      <td>21.602941</td>\n",
       "      <td>0.882353</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>178.109589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>21.217131</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.906517</td>\n",
       "      <td>12.850623</td>\n",
       "      <td>0.839515</td>\n",
       "      <td>1.333946</td>\n",
       "      <td>1.100836</td>\n",
       "      <td>12.850623</td>\n",
       "      <td>0.906517</td>\n",
       "      <td>1.354925</td>\n",
       "      <td>123.508610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>19.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>63.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>37.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>180.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>55.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>274.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>73.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>489.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              id  total_errors  unnecessary_question_ratio  total_messages  \\\n",
       "count  73.000000           0.0                   68.000000       68.000000   \n",
       "mean   37.000000           NaN                    0.882353       21.602941   \n",
       "std    21.217131           NaN                    0.906517       12.850623   \n",
       "min     1.000000           NaN                    0.000000        1.000000   \n",
       "25%    19.000000           NaN                    0.000000        9.500000   \n",
       "50%    37.000000           NaN                    1.000000       22.000000   \n",
       "75%    55.000000           NaN                    2.000000       34.000000   \n",
       "max    73.000000           NaN                    3.000000       44.000000   \n",
       "\n",
       "       tool_retry  filler_words  centers_count  agent_total_messages  \\\n",
       "count   68.000000     68.000000      47.000000             68.000000   \n",
       "mean     0.661765      1.338235       1.510638             21.602941   \n",
       "std      0.839515      1.333946       1.100836             12.850623   \n",
       "min      0.000000      0.000000       0.000000              1.000000   \n",
       "25%      0.000000      0.000000       0.000000              9.500000   \n",
       "50%      0.000000      1.000000       2.000000             22.000000   \n",
       "75%      1.000000      2.000000       2.000000             34.000000   \n",
       "max      3.000000      6.000000       4.000000             44.000000   \n",
       "\n",
       "       unnecesary_questions  internal_actions_verbalizations    duration  \n",
       "count             68.000000                        68.000000   73.000000  \n",
       "mean               0.882353                         1.500000  178.109589  \n",
       "std                0.906517                         1.354925  123.508610  \n",
       "min                0.000000                         0.000000    0.000000  \n",
       "25%                0.000000                         0.000000   63.000000  \n",
       "50%                1.000000                         1.000000  180.000000  \n",
       "75%                2.000000                         2.000000  274.000000  \n",
       "max                3.000000                         5.000000  489.000000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(f\"Shape: {df.shape}\")\n",
    "print(f\"\\nNull counts:\\n{df.isnull().sum()[df.isnull().sum() > 0]}\")\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c2d3e4f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>run_id</th>\n",
       "      <th>environment</th>\n",
       "      <th>time</th>\n",
       "      <th>source</th>\n",
       "      <th>center_nav_id</th>\n",
       "      <th>org_name</th>\n",
       "      <th>redirect_reason</th>\n",
       "      <th>created_at</th>\n",
       "      <th>updated_at</th>\n",
       "      <th>...</th>\n",
       "      <th>centers_count</th>\n",
       "      <th>redirect_error</th>\n",
       "      <th>relevant_keywords</th>\n",
       "      <th>schedule_preference</th>\n",
       "      <th>agent_total_messages</th>\n",
       "      <th>unnecesary_questions</th>\n",
       "      <th>internal_actions_verbalizations</th>\n",
       "      <th>duration</th>\n",
       "      <th>raw_payload</th>\n",
       "      <th>datastream_metadata</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>68</td>\n",
       "      <td>4ba565a3-eddd-45a4-b732-cc0b8be35d3c</td>\n",
       "      <td>staging</td>\n",
       "      <td>2026-04-17 13:19:12+02:00</td>\n",
       "      <td>+34623122972</td>\n",
       "      <td>300</td>\n",
       "      <td>MutuaMobility</td>\n",
       "      <td></td>\n",
       "      <td>2026-04-17 13:24:12.589920+02:00</td>\n",
       "      <td>2026-04-17T13:24:12.58992+02:00</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>False</td>\n",
       "      <td>[\"siniestro\",\"lunas\",\"parabrisas\",\"Mutua\",\"pól...</td>\n",
       "      <td></td>\n",
       "      <td>32.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>281</td>\n",
       "      <td>{\"agent_tone\":\"amable y cordial\",\"agent_total_...</td>\n",
       "      <td>{'uuid': '56448836-4328-418b-9b6b-a3dd06a1d22d...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>64</td>\n",
       "      <td>74359e70-6836-4685-8da8-2172e10ca92d</td>\n",
       "      <td>production</td>\n",
       "      <td>2026-04-17 11:56:40+02:00</td>\n",
       "      <td>+34623122972</td>\n",
       "      <td></td>\n",
       "      <td>MutuaMobility</td>\n",
       "      <td></td>\n",
       "      <td>2026-04-17 11:58:51.760255+02:00</td>\n",
       "      <td>2026-04-17T11:58:51.760255+02:00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[\"siniestro\",\"lunas\",\"parabrisas\",\"Mutua\",\"pól...</td>\n",
       "      <td></td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>118</td>\n",
       "      <td>{\"agent_tone\":\"amable y cordial\",\"agent_total_...</td>\n",
       "      <td>{'uuid': '88022b58-67eb-4463-bfa0-2be495173fa1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>63</td>\n",
       "      <td>f6b049a9-47b3-4424-a924-296fcaeddcd2</td>\n",
       "      <td>production</td>\n",
       "      <td>2026-04-17 11:51:18+02:00</td>\n",
       "      <td>+34623122972</td>\n",
       "      <td></td>\n",
       "      <td>MutuaMobility</td>\n",
       "      <td></td>\n",
       "      <td>2026-04-17 11:53:38.300626+02:00</td>\n",
       "      <td>2026-04-17T11:53:38.300626+02:00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[\"siniestro\",\"lunas\",\"sustitución\",\"parabrisas...</td>\n",
       "      <td></td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>124</td>\n",
       "      <td>{\"agent_tone\":\"amable y cordial\",\"agent_total_...</td>\n",
       "      <td>{'uuid': '4efd8843-d956-4e6e-ab84-879d00aa1af1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>62</td>\n",
       "      <td>2eb55ebe-e09c-4515-a7f8-c4651cf494a7</td>\n",
       "      <td>staging</td>\n",
       "      <td>2026-04-16 21:52:23+02:00</td>\n",
       "      <td>+34616559883</td>\n",
       "      <td>300</td>\n",
       "      <td>MutuaMobility</td>\n",
       "      <td></td>\n",
       "      <td>2026-04-16 21:57:54.343005+02:00</td>\n",
       "      <td>2026-04-16T21:57:54.343005+02:00</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>False</td>\n",
       "      <td>[\"siniestro\",\"lunas\",\"parabrisas\",\"Mutua\",\"tal...</td>\n",
       "      <td>pm</td>\n",
       "      <td>38.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>314</td>\n",
       "      <td>{\"agent_tone\":\"amable y cordial\",\"agent_total_...</td>\n",
       "      <td>{'uuid': 'ce94625c-8d4b-4547-b0e6-b0589f89281d...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>27</td>\n",
       "      <td>1055d527-b3ef-4024-b3b8-86680c8e2098</td>\n",
       "      <td>staging</td>\n",
       "      <td>2026-04-13 12:13:22+02:00</td>\n",
       "      <td>+34618360645</td>\n",
       "      <td></td>\n",
       "      <td>MutuaMobility</td>\n",
       "      <td></td>\n",
       "      <td>2026-04-13 12:13:33.123887+02:00</td>\n",
       "      <td>2026-04-13T12:13:33.123887+02:00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"agent_tone\":\"\",\"agent_total_messages\":\"\",\"an...</td>\n",
       "      <td>{'uuid': 'b8866ca2-e57e-4962-9fb3-fdad80c915ff...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>46</td>\n",
       "      <td>47e2a834-ba61-4832-b396-b149a8cb4e34</td>\n",
       "      <td>staging</td>\n",
       "      <td>2026-04-15 08:25:55+02:00</td>\n",
       "      <td>+34658124349</td>\n",
       "      <td></td>\n",
       "      <td>MutuaMobility</td>\n",
       "      <td></td>\n",
       "      <td>2026-04-15 08:26:04.638077+02:00</td>\n",
       "      <td>2026-04-15T08:26:04.638077+02:00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"agent_tone\":\"\",\"agent_total_messages\":\"\",\"an...</td>\n",
       "      <td>{'uuid': '9abf5574-5300-49f6-9e8b-5e3b8eb7fb87...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>development</td>\n",
       "      <td>2026-04-07 17:38:09+02:00</td>\n",
       "      <td>+12345678902</td>\n",
       "      <td>test_center_nav_id_value</td>\n",
       "      <td>MutuaMobility</td>\n",
       "      <td>otros</td>\n",
       "      <td>2026-04-07 17:38:09.573068+02:00</td>\n",
       "      <td>2026-04-07T17:38:09.573068+02:00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"agent_tone\":\"\",\"agent_total_messages\":\"\",\"an...</td>\n",
       "      <td>{'uuid': 'da8244e7-eff5-4c53-8977-b4e4a759948e...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>34</td>\n",
       "      <td>835d8e35-1439-4706-ba17-3c3b8fe7199c</td>\n",
       "      <td>staging</td>\n",
       "      <td>2026-04-14 13:27:32+02:00</td>\n",
       "      <td>+34615420380</td>\n",
       "      <td></td>\n",
       "      <td>MutuaMobility</td>\n",
       "      <td></td>\n",
       "      <td>2026-04-14 13:27:40.198534+02:00</td>\n",
       "      <td>2026-04-14T13:27:40.198534+02:00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"agent_tone\":\"\",\"agent_total_messages\":\"\",\"an...</td>\n",
       "      <td>{'uuid': 'a6923276-15cd-40ad-9465-b543a547378f...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>85dce09b-7604-46fa-adc0-53511bc569f6</td>\n",
       "      <td>staging</td>\n",
       "      <td>2026-04-09 11:28:28+02:00</td>\n",
       "      <td>+34666551751</td>\n",
       "      <td></td>\n",
       "      <td>MutuaMobility</td>\n",
       "      <td></td>\n",
       "      <td>2026-04-09 11:29:01.733635+02:00</td>\n",
       "      <td>2026-04-09T11:29:01.733635+02:00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[\"Mutua\",\"lunas\",\"asistente virtual\",\"agente h...</td>\n",
       "      <td></td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15</td>\n",
       "      <td>{\"agent_tone\":\"amable y cordial\",\"agent_total_...</td>\n",
       "      <td>{'uuid': '4c289375-6746-4b1c-b190-2ca27a2c70f9...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>38</td>\n",
       "      <td>7ccb8a2c-6ed0-493d-b9c5-10dea391cefb</td>\n",
       "      <td>staging</td>\n",
       "      <td>2026-04-14 17:24:52+02:00</td>\n",
       "      <td>+34624510247</td>\n",
       "      <td></td>\n",
       "      <td>MutuaMobility</td>\n",
       "      <td></td>\n",
       "      <td>2026-04-14 17:25:32.307490+02:00</td>\n",
       "      <td>2026-04-14T17:25:32.30749+02:00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[\"Mutua\",\"lunas\",\"asistente virtual\",\"agente h...</td>\n",
       "      <td></td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18</td>\n",
       "      <td>{\"agent_tone\":\"amable y cordial\",\"agent_total_...</td>\n",
       "      <td>{'uuid': '7a3610b6-108b-459e-9b69-0155d1a23da8...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 42 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   id                                run_id  environment  \\\n",
       "0  68  4ba565a3-eddd-45a4-b732-cc0b8be35d3c      staging   \n",
       "1  64  74359e70-6836-4685-8da8-2172e10ca92d   production   \n",
       "2  63  f6b049a9-47b3-4424-a924-296fcaeddcd2   production   \n",
       "3  62  2eb55ebe-e09c-4515-a7f8-c4651cf494a7      staging   \n",
       "4  27  1055d527-b3ef-4024-b3b8-86680c8e2098      staging   \n",
       "5  46  47e2a834-ba61-4832-b396-b149a8cb4e34      staging   \n",
       "6   1                                        development   \n",
       "7  34  835d8e35-1439-4706-ba17-3c3b8fe7199c      staging   \n",
       "8   8  85dce09b-7604-46fa-adc0-53511bc569f6      staging   \n",
       "9  38  7ccb8a2c-6ed0-493d-b9c5-10dea391cefb      staging   \n",
       "\n",
       "                       time        source             center_nav_id  \\\n",
       "0 2026-04-17 13:19:12+02:00  +34623122972                       300   \n",
       "1 2026-04-17 11:56:40+02:00  +34623122972                             \n",
       "2 2026-04-17 11:51:18+02:00  +34623122972                             \n",
       "3 2026-04-16 21:52:23+02:00  +34616559883                       300   \n",
       "4 2026-04-13 12:13:22+02:00  +34618360645                             \n",
       "5 2026-04-15 08:25:55+02:00  +34658124349                             \n",
       "6 2026-04-07 17:38:09+02:00  +12345678902  test_center_nav_id_value   \n",
       "7 2026-04-14 13:27:32+02:00  +34615420380                             \n",
       "8 2026-04-09 11:28:28+02:00  +34666551751                             \n",
       "9 2026-04-14 17:24:52+02:00  +34624510247                             \n",
       "\n",
       "        org_name redirect_reason                       created_at  \\\n",
       "0  MutuaMobility                 2026-04-17 13:24:12.589920+02:00   \n",
       "1  MutuaMobility                 2026-04-17 11:58:51.760255+02:00   \n",
       "2  MutuaMobility                 2026-04-17 11:53:38.300626+02:00   \n",
       "3  MutuaMobility                 2026-04-16 21:57:54.343005+02:00   \n",
       "4  MutuaMobility                 2026-04-13 12:13:33.123887+02:00   \n",
       "5  MutuaMobility                 2026-04-15 08:26:04.638077+02:00   \n",
       "6  MutuaMobility           otros 2026-04-07 17:38:09.573068+02:00   \n",
       "7  MutuaMobility                 2026-04-14 13:27:40.198534+02:00   \n",
       "8  MutuaMobility                 2026-04-09 11:29:01.733635+02:00   \n",
       "9  MutuaMobility                 2026-04-14 17:25:32.307490+02:00   \n",
       "\n",
       "                         updated_at  ... centers_count redirect_error  \\\n",
       "0   2026-04-17T13:24:12.58992+02:00  ...           2.0          False   \n",
       "1  2026-04-17T11:58:51.760255+02:00  ...           NaN          False   \n",
       "2  2026-04-17T11:53:38.300626+02:00  ...           NaN          False   \n",
       "3  2026-04-16T21:57:54.343005+02:00  ...           2.0          False   \n",
       "4  2026-04-13T12:13:33.123887+02:00  ...           NaN                  \n",
       "5  2026-04-15T08:26:04.638077+02:00  ...           NaN                  \n",
       "6  2026-04-07T17:38:09.573068+02:00  ...           NaN                  \n",
       "7  2026-04-14T13:27:40.198534+02:00  ...           NaN                  \n",
       "8  2026-04-09T11:29:01.733635+02:00  ...           NaN          False   \n",
       "9   2026-04-14T17:25:32.30749+02:00  ...           NaN          False   \n",
       "\n",
       "                                   relevant_keywords schedule_preference  \\\n",
       "0  [\"siniestro\",\"lunas\",\"parabrisas\",\"Mutua\",\"pól...                       \n",
       "1  [\"siniestro\",\"lunas\",\"parabrisas\",\"Mutua\",\"pól...                       \n",
       "2  [\"siniestro\",\"lunas\",\"sustitución\",\"parabrisas...                       \n",
       "3  [\"siniestro\",\"lunas\",\"parabrisas\",\"Mutua\",\"tal...                  pm   \n",
       "4                                                                          \n",
       "5                                                                          \n",
       "6                                                                          \n",
       "7                                                                          \n",
       "8  [\"Mutua\",\"lunas\",\"asistente virtual\",\"agente h...                       \n",
       "9  [\"Mutua\",\"lunas\",\"asistente virtual\",\"agente h...                       \n",
       "\n",
       "   agent_total_messages unnecesary_questions internal_actions_verbalizations  \\\n",
       "0                  32.0                  2.0                             1.0   \n",
       "1                  15.0                  0.0                             0.0   \n",
       "2                  15.0                  0.0                             0.0   \n",
       "3                  38.0                  2.0                             4.0   \n",
       "4                   NaN                  NaN                             NaN   \n",
       "5                   NaN                  NaN                             NaN   \n",
       "6                   NaN                  NaN                             NaN   \n",
       "7                   NaN                  NaN                             NaN   \n",
       "8                   1.0                  0.0                             0.0   \n",
       "9                   1.0                  0.0                             0.0   \n",
       "\n",
       "   duration                                        raw_payload  \\\n",
       "0       281  {\"agent_tone\":\"amable y cordial\",\"agent_total_...   \n",
       "1       118  {\"agent_tone\":\"amable y cordial\",\"agent_total_...   \n",
       "2       124  {\"agent_tone\":\"amable y cordial\",\"agent_total_...   \n",
       "3       314  {\"agent_tone\":\"amable y cordial\",\"agent_total_...   \n",
       "4         0  {\"agent_tone\":\"\",\"agent_total_messages\":\"\",\"an...   \n",
       "5         0  {\"agent_tone\":\"\",\"agent_total_messages\":\"\",\"an...   \n",
       "6         0  {\"agent_tone\":\"\",\"agent_total_messages\":\"\",\"an...   \n",
       "7         0  {\"agent_tone\":\"\",\"agent_total_messages\":\"\",\"an...   \n",
       "8        15  {\"agent_tone\":\"amable y cordial\",\"agent_total_...   \n",
       "9        18  {\"agent_tone\":\"amable y cordial\",\"agent_total_...   \n",
       "\n",
       "                                 datastream_metadata  \n",
       "0  {'uuid': '56448836-4328-418b-9b6b-a3dd06a1d22d...  \n",
       "1  {'uuid': '88022b58-67eb-4463-bfa0-2be495173fa1...  \n",
       "2  {'uuid': '4efd8843-d956-4e6e-ab84-879d00aa1af1...  \n",
       "3  {'uuid': 'ce94625c-8d4b-4547-b0e6-b0589f89281d...  \n",
       "4  {'uuid': 'b8866ca2-e57e-4962-9fb3-fdad80c915ff...  \n",
       "5  {'uuid': '9abf5574-5300-49f6-9e8b-5e3b8eb7fb87...  \n",
       "6  {'uuid': 'da8244e7-eff5-4c53-8977-b4e4a759948e...  \n",
       "7  {'uuid': 'a6923276-15cd-40ad-9465-b543a547378f...  \n",
       "8  {'uuid': '4c289375-6746-4b1c-b190-2ca27a2c70f9...  \n",
       "9  {'uuid': '7a3610b6-108b-459e-9b69-0155d1a23da8...  \n",
       "\n",
       "[10 rows x 42 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2e3f4a5",
   "metadata": {},
   "source": [
    "## 4. Distribuciones categoricas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e2f3a4b5",
   "metadata": {},
   "outputs": [
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.bar(\n",
    "    df['environment'].value_counts().reset_index(),\n",
    "    x='environment', y='count', title='Runs por environment',\n",
    "    color='environment'\n",
    ")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f2a3b4c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "classification=%{x}<br>count=%{y}<extra></extra>",
         "legendgroup": "abandono",
         "marker": {
          "color": "#636efa",
          "pattern": {
           "shape": ""
          }
         },
         "name": "abandono",
         "orientation": "v",
         "showlegend": true,
         "textposition": "auto",
         "type": "bar",
         "x": [
          "abandono"
         ],
         "xaxis": "x",
         "y": {
          "bdata": "Eg==",
          "dtype": "i1"
         },
         "yaxis": "y"
        },
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.bar(\n",
    "    df['classification'].value_counts().reset_index(),\n",
    "    x='classification', y='count', title='Runs por classification',\n",
    "    color='classification'\n",
    ")\n",
    "fig.update_layout(xaxis_tickangle=-45)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a3b4c5d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "glass_operation=%{x}<br>count=%{y}<extra></extra>",
         "legendgroup": "Ninguno",
         "marker": {
          "color": "#636efa",
          "pattern": {
           "shape": ""
          }
         },
         "name": "Ninguno",
         "orientation": "v",
         "showlegend": true,
         "textposition": "auto",
         "type": "bar",
         "x": [
          "Ninguno"
         ],
         "xaxis": "x",
         "y": {
          "bdata": "HA==",
          "dtype": "i1"
         },
         "yaxis": "y"
        },
        {
         "hovertemplate": "glass_operation=%{x}<br>count=%{y}<extra></extra>",
         "legendgroup": "Sustitucion",
         "marker": {
          "color": "#EF553B",
          "pattern": {
           "shape": ""
          }
         },
         "name": "Sustitucion",
         "orientation": "v",
         "showlegend": true,
         "textposition": "auto",
         "type": "bar",
         "x": [
          "Sustitucion"
         ],
         "xaxis": "x",
         "y": {
          "bdata": "Fw==",
          "dtype": "i1"
         },
         "yaxis": "y"
        },
        {
         "hovertemplate": "glass_operation=%{x}<br>count=%{y}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#00cc96",
          "pattern": {
           "shape": ""
          }
         },
         "name": "",
         "orientation": "v",
         "showlegend": false,
         "textposition": "auto",
         "type": "bar",
         "x": [
          ""
         ],
         "xaxis": "x",
         "y": {
          "bdata": "Dg==",
          "dtype": "i1"
         },
         "yaxis": "y"
        },
        {
         "hovertemplate": "glass_operation=%{x}<br>count=%{y}<extra></extra>",
         "legendgroup": "Reparacion",
         "marker": {
          "color": "#ab63fa",
          "pattern": {
           "shape": ""
          }
         },
         "name": "Reparacion",
         "orientation": "v",
         "showlegend": true,
         "textposition": "auto",
         "type": "bar",
         "x": [
          "Reparacion"
         ],
         "xaxis": "x",
         "y": {
          "bdata": "Bw==",
          "dtype": "i1"
         },
         "yaxis": "y"
        },
        {
         "hovertemplate": "glass_operation=%{x}<br>count=%{y}<extra></extra>",
         "legendgroup": "null",
         "marker": {
          "color": "#FFA15A",
          "pattern": {
           "shape": ""
          }
         },
         "name": "null",
         "orientation": "v",
         "showlegend": true,
         "textposition": "auto",
         "type": "bar",
         "x": [
          "null"
         ],
         "xaxis": "x",
         "y": {
          "bdata": "AQ==",
          "dtype": "i1"
         },
         "yaxis": "y"
        }
       ],
       "layout": {
        "barmode": "relative",
        "legend": {
         "title": {
          "text": "glass_operation"
         },
         "tracegroupgap": 0
        },
        "showlegend": false,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
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              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
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4ky2vfLrTp+Ytug7VE9t/d3+i+jXnqs/tk55rm+pyU6KyclE5Pbp5eUQAAQQQQAABBHIu4IMO+DKg84ErXUxSQMsgtVxQS//cItqmM6fuckN3O48IIIAAAggggAACCCBQVICArqhHLl+Ftu15Cz43d1mflupd3vdOe2hkP/PS2RotN1TfSkplXZIb2oOAgSOAAAIIIIAAAgikJEBAlxIbhdIloCV5Wpqn5XZu0mttT1cb6ahHyw3d/hX3WNq+u8saVX/p+kluBBBAAAEEEEAAAQTMCOg4ChBAAIGgCzA+BBBAAAEEEAisAAFdYKeWgSGAAAIIIFB6AUoggAACCPhLgIDOX/NFbxFAAAEEEEAAAa8I0A8EEPCAAAGdByaBLiCAAAIIIIAAAgggEGwBRpcpAQK6TMlSLwIIIIAAAggggAACCCCQYYFABnQZNqN6BBBAAAEEEEAAAQQQQMATAgR0npgGOpFDAZpGAAEEEEAAAQQQQMC3AgR0vp06Oo4AAtkXoEUEMzhvkQAAEABJREFUEEAAAQQQQMBbAgR03poPeoMAAgggEBQBxoEAAggggEAWBAjosoBMEwgggAACCCCAQHEC7EMAAQRSFSCgS1WOcggggAACCCCAAAIIZF+AFhEoIkBAV4SDFwgggAACCCCAAAIIIICAfwSKD+j8Mw56igACCCCAAAIIIIAAAgiEToCALnRTnrkBUzMCCCCAAAIIIIAAAghkV4CALrvetIYAAr8J8BMBBBBAAAEEEEAgDQIEdGlApAoEEEAAgUwKUDcCCCCAAAIIJBIgoEskw3YEEEAAAQQQ8J8APUYAAQRCJkBAF7IJZ7gIIIAAAggggAACvwnwE4EgCBDQBWEWGQMCCCCAAAIIIIAAAghkUsCzdRPQeXZq6BgCCCCAAAIIIIAAAgggULwAAV3xPrnZS6sIIIAAAggggAACCCCAQBICBHRJIJEFAS8L0DcEEEAAAQQQQACB8AoQ0IV37hk5AgiET4ARI4AAAggggEDABAjoAjahDAcBBBBAAIH0CFALAggggIAfBAjo/DBL9BEBBBBAAAEEEPCyAH1DAIGcCRDQ5YyehhFAAAEEEEAAAQQQCJ8AI06vAAFdej2pDQEEEEAAAQQQQAABBBDImkDAA7qsOdIQAggggAACCCCAAAIIIJB1AQK6rJPToGcF6BgCCCCAAAIIIIAAAj4TIKDz2YTRXQQQ8IYAvUAAAQQQQAABBLwgQEDnhVmgDwgggAACQRZgbAgggAACCGRMgIAuY7RUjAACCCCAAAIIlFaA/AgggEDpBAjoSudFbgQQQAABBBBAAAEEvCFALxCICBDQRRD4DwEEEEAAAQQQQAABBBDwo0CyAZ0fx0afEUAAAQQQQAABBBBAAIFACxDQBXp6czU42kUAAQQQQAABBBBAAIFsCBDQZUOZNhBAILEAexBAAAEEEEAAAQRSFiCgS5mOgggggAAC2RagPQQQQAABBBAoKkBAV9SDVwgggAACCCAQDAFGgQACCIRCgIAuFNPMIBFAAAEEEEAAAQQSC7AHAf8KEND5d+7oOQIIIIAAAggggAACCGRbwGPtEdB5bELoDgIIIIAAAggggAACCCCQrAABXbJSuclHqwgggAACCCCAAAIIIIBAQgECuoQ07EDAbwL0FwEEEEAAAQQQQCBsAgR0YZtxxosAAghIgIQAAggggAACgRAgoAvENDIIBBBAAAEEMidAzQgggAAC3hUgoCvj3Hy/ZouRMOAY4BjgGOAY4BjgGOAYcI4B3hfx3rDUx0AZ346HvjgBXegPAQAQQAABBBBAAAEEEMiFAG2mQ4CALh2K1IEAAggggAACCCCAAAII5EAgNAFdDmxpEgEEEEAAAQQQQAABBBDIqAABXUZ5qdynAnQbAQQQQAABBBBAAAFfCBDQ+WKa6CQCCHhXgJ4hgAACCCCAAAK5EyCgy509LSOAAAIIhE2A8SKAAAIIIJBmAQK6NIMmW11BQYEVRDKTLCAOmsnIhPIfAggggAACaRKgGgQQQCAZAQK6ZJQykGflyjybNbs8KQAG775bztau4X+lDPxvQpUIIIAAAgggkJwAuUIswLvQHE3+pi15NvvtPCPlmd8N3vuwnP2yPS9HRxLNIoAAAggggAACCIRZoPQBXZi1GDsCCCCAAAIIIIAAAggg4CEBAjoPTUYQu8KYEEAAAQQQQAABBBBAIHMCBHSZs6VmBBAonQC5EUAAAQQQQAABBEopQEBXSjCyI4AAAgh4QYA+IIAAAggggIAECOikQEIAAQQQQACB4AowMgQQQCDAAgR0AZ5choYAAggggAACCCBQOgFyI+A3AQI6v80Y/UUAAQQQQAABBBBAAAEvCHiiDwR0npgGOoEAAggggAACCCCAAAIIlF6AgK70ZrkpQasIIIAAAggggAACCCCAQIwAAV0MCC8RCIIAY0AAAQQQQAABBBAIhwABXTjmmVEigAACiQTYjgACCCCAAAI+FiCg8/Hk0XUEEEAAAQSyK0BrCCCAAAJeEyCg89qM0B8EEEAAAQQQQCAIAowBAQSyIkBAlxVmGkEAAQQQQAABBBBAAIFEAmxPXYCALnU7SiKAAAIIIIAAAggggAACORUIYUCXU28aRwABBBBAAAEEEEAAAQTSJkBAlzZKKgqkAINCAAEEEEAAAQQQQMDDAgR0Hp4cuoYAAv4SoLcIIIAAAggggEC2BQjosi1OewgggAACCJhhgAACCCCAQFoECOjSwkglCCCAAAIIIIBApgSoFwEEEEgsQECX2IY9CCCAAAIIIIAAAgj4S4Dehk6AgC50U86AEUAAAQQQQAABBBBAICgCZQnogmLAOBBAAAEEEEAAAQQQQAABXwoQ0Ply2vzYafqMAAIIIIAAAggggAAC6RYgoEu3KPUhgEDZBagBAQQQQAABBBBAICkBArqkmMiEgPcEClavtLwVX5MCYfCNFXjvEPNNj+goAggggAACYRYgoAvz7DN2XwtU+Owjqzx+CCkABhWff9jyNq739fFI5xHwiQDdRAABBAInQEAXuCllQGERyPt5q5XLX04KgsHa/LActowTAQQQ8JEAXUXAHwIEdP6YJ3qJAAIIIIAAAggggAACXhXIYb8I6HKIT9MIIIAAAggggAACCCCAQFkECOjKopebsrSKAAIIIIAAAggggAACCDgCBHQOAz8QCKoA40IAAQQQQAABBBAIsgABXZBnl7EhgAACpREgLwIIIIAAAgj4ToCAzndTRocRQAABBBDIvQA9QAABBBDwhgABnTfmgV4ggAACCCCAAAJBFWBcCCCQQQECugziUjUCCCCAAAIIIIAAAgiURoC8pRUgoCutGPkRQAABBBBAAAEEEEAAAY8IhDqg88gc0A0EEEAAAQQQQAABBBBAICWB0Ad0m7dsta69R1iLNl0K06y5C4pgPjz15cJ9yqsyRTLwIgwCjBEBBBBAAAEEEEAAAc8JhD6g27R5q9WrW9PmzRxvi2ZPtrHDr7MBwyfaosXLnMlScDf9xdk2+5kxzn7lvXXMFGcfPxBAAIH4AmxFAAEEEEAAAQSyIxD6gK5Oreo2/KZuVq1qFUf84Kb72x6772r5a9Y5r19/6yPrcEYbUz5tOPmEw23+wiW2as2PeklCAAEEEECgbAKURgABBBBAoAwCoQ/oYu3yV/9oBQUFVrdWDdPSypX5a4tk0XbtVz7tKF8uz1JJeca/IAloPlM5DlItUy5y3KnNIBmGfSzl8vJS+l2S6jFEObw5Bvx5DDBvzFsQjwHjX5kECOii+BTAjRz/lHU8s621aNqwcE+j/eoXPo99UnuPypZKqlgB+lhLP7+uWql8SsdBKseOytTcrZKVL88x5OdjJrbvu1atkNVjSMcRKbXf37jhxjHAMeCTY8A3f1di/ybyunQCvCP8n5eCuasH3ONcT3dZp9P/t/W3h6++XvHbkzg/f1i31VJJv2z/NU5tbPKrwOZfdqR0HKRy7KjM6vU/2/YdHEN+PV7i9funzduyegzpOCKl9vsbN9w4BjgGOAbSewzE+7vItuQF0hPQJd+eJ3NGB3O6ns7tZLWqVZwAz32tR11bl5eXZ3VrV9dLEgIIIIAAAggggAACCCCQM4HQB3RuMHfsH1s6N0eJnQndBEV3uXRvgqKbpLRu2aTwJimx+XldsgA5EEAAAQQQQAABBBBAID0CoQ/oln6z0j5b8rWNmjCt8Lvm9J10A26f6Ai3PaaVc5fLNuf2cvbrJikDe3V29vEDAQQyLkADCCCAAAIIIIAAAsUIhD6g081P3psxzvmOOX0PnZuil17qmjp3+6TR/Qu/4qAYV3YhgAACCGRdgAYRQAABBBAIn0DoA7rwTTkjRgABBBBAAAGDAAEEEAiIAAFdQCaSYSCAAAIIIIAAAghkRoBaEfCyAAGdl2eHviGAAAIIIIAAAggggICfBLLeVwK6rJPTIAIIIIAAAggggAACCCCQHgFPBXT6aoAOVwy1RYuX7TS6WXMXWNfeI0xfM7DTzrBuYNwIIIAAAggggAACCCAQagFPBXTFzUTdWjVsw6Yttmnz1uKysQ8BBBIIsBkBBBBAAAEEEEAgeAK+Cejen/+p7bZLVdulWpXgzQIjQgABBLwlQG8QQAABBBBAwCcCngjotMTy6PY9rc25vezT/y6zjlcOtRZtuhRJDz0+w/p2P5/vgPPJgUU3EUAAAQTCIsA4EUAAAQRyKeCJgK5F04b23oxxNvuZMdb8wIY2bcJQWzR7cpGk/cqXSyzaRgABBBBAAAEEECiDAEURQCDtAp4I6NxR1alV3aY/GDk7Fwnw3G08IoAAAggggAACCCCAQPgEGHFyAp4K6NRl3eny1Av7FVlu6S6/1HbtVz4SAggggAACCCCAAAIIIBB2Ac8FdKMfnG6tWzYpstzSXX75yhN3ms7ipX/SqBEBBBBAAAEEEEAAAQQQ8J+ApwI6nX1bsnS5XfR/J/tPkh6HR4CRIoAAAggggAACCCDgEQFPBXQeMaEbCCCAQNoEqAgBBBBAAAEEEMikgKcCOi2nbLJ/A9N3zmVy0NSNAAIIIICABwXoEgIIIIAAAqUW8FRAp95rueV/Pv3CNm/ZqpckBBBAAAEEEEAAgZ0E2IAAAgj8JuCpgE7X0PUdNs7eeGe+HXFa953udMldLn+bNH4igAACCCCAAAIIIJC0ABkDLeCpgE5LLnUnS/eulrGP2qc8gZ4RBocAAggggAACCCCAAAIIJCmQ7oAuyWbJhgACCCCAAAIIIIAAAgggUFYBTwV0WnKpZZXuF4nHPmqf8pR10JT3igD9QAABBBBAAAEEEEAAgbIIeCqg03JKLauMXWo5b+Z4O+m41jZySE9TnrIMmLIIIOBTAbqNAAIIIIAAAgggsJOApwK6nXr3vw3VqlaxQ5sfYI8/+/r/tvCAAAIIIIBAYgH2IIAAAgggEBYBXwR0moyjWje3JUuXG0supUFCAAEEEEAAgTQJUA0CCCDgawHfBHS+VqbzCCCAAAIIIIAAAgEQYAgIeE/ANwGdlls22b8B19B57xiiRwgggAACCCCAAAIIIBArkKXXngrotJxSd7KMvbulXq/MX2sDe3XOEgvNIIAAAggggAACCCCAAALeF/BUQKc7WMa7y6XuejlpdH/TzVG8T5qTHtIoAggggAACCCCAAAIIhFDAUwFdCP0ZMgI5EKBJBMwKCgrsw6359vaW70kBMPjw53wOawQQQACBkAp4MqCbNXeBaZlldNK2kM4Rw0YAAQTSLpCXl2ePbfjcuvzwRvGJ/b7w+fuG/1pB2o8SKkQAAQQQ8IOA5wI6BW4jxk612c+MMS21VJo2YagNGD7RHp76sh9M6SMCCCDgC4EdkRDgZ9thJP8b7LBfPXHM0QkEEEAAgewLeCqg27xlq02Z/pr1v7pTkbtZtmja0IYP6GZzPlxoypN9JlpEAAEEEEAAAQQQSKMAVSGAQJoEPBXQbdq81TZs2mJ1a9XYaXjapn3Ks6+UNvYAABAASURBVNNONiCAAAIIIIAAAggggEBABRhWcQKeCuh2qVbFdtulquWvWbdTn7VN+5Rnp51sQAABBBBAAAEEEEAAAQRCKOCpgE5fS3DsH1uarqHTd9K587Fo8TLnGjrtUx53eyYeqRMBBBBAAAEEEEAAAQQQ8IuApwI6oV3W6XTnGro25/YqvNNlxyuHOtfQaZ/ykBDwiADdQAABBBBAAAEEEEAgpwKeC+ik0faYVoV3uNRdLpW0TftICCCAgD8F6DUCCCCAAAIIIJB+Ac8FdANun2hde48ocjdL3dlS2/jagvQfANSIAAIIIOBBAbqEAAIIIIBAkgKeCugUuK3MX2udO7Sz6Gvl9Fzb+NqCJGeVbAgggAACCCAQGgEGigAC4RbwVECnryTQVxPoKwpip0XbtE95YvfxGgEEEEAAAQQQQAABBEoUIEMABTwV0OkrCfTVBPqKglhrbdM+5Yndx2sEEEAAAQQQQAABBBBAIIwCmQvoUtB0l1YOGD7R9FUFbhV6rm18bYErwiMCCCCAAAIIIIAAAgggYOapgE4TortZPjSyn13e906+tkAgIUkMEwEEEEAAAQQQQAABBEov4LmATkNo0bShvTdjXJGvLlCgp30kBBAIvQAACCCAAAIIIIAAAv8T8GRA97++8YAAAggggEAZBSiOAAIIIIBAsAUI6II9v4wOAQQQQAABBJIVIB8CCCDgQwECuqhJG3D7RHt46stRW357qm0t2nRxrunr2nuE6fvyftvDTwQQQAABBBBAAIEwCjBmBLwiQEAXmQk3YHv+1TmRV0X/mzV3gU1/cbbNfmaMc01fvbo17dYxU4pm4hUCCCCAAAIIIIAAAgggEF8go1sJ6CK8l3U63QnWzjrl2Mirov+9/tZH1uGMNlanVnVnx8knHG7zFy6xVWt+dF7zAwEEEEAAAQQQQAABBBDIlQABXTHyWlq5Mn9tkRx1a9WwgoICy1/t0YCuSG95gQACCCCAAAIIIIAAAkEWIKBLYnYb7Vc/Ya461atYKqlihXIJ62SH/wSqViqf0nGQyrGjMjV3r2wVypf9GPKfdHB7vFu1ilk9hmrsWsnK5QXXM2wjy4vMpeZUvx9IVbL6/xLeeHMMlP0YCNvv7HSPt1y6KwxifV99vSLhsH7c8LOlkrZv/zVhnezwn8DP23akdBykcuyozE8bf7Edv3IM+e9ISdzjzVu2Z/UY2rD5FysoSNyfOHvY5GWByFxqTvX7gZTa32XccOMYyN0x4OVfr37oGwFdMbNUrWoV001QorPkr1lneXl5Vrf2b9fUbdtRYKmkyN/e6Gp57nOBXyMTmspxkGqZ7ZEGeTPu84Mmpvs7IhOa6vGQSjl9phQ5bGN6wUu/CmguNaepHAuZKZPa30b6ghvHQDiPAb/+7vVKvwnoSpgJ3QRFd7l0b4Kim6S0btmk8CYpJRRnNwIIIIAAAggggEBxAuxDAIEyCRDQRfiiv7Zg1IRpdnT7nrZo8TLTv7bHtHLuctnm3F7O99DpJikDe3XWLhICCCCAAAIIIIAAAghkUYCmdhYgoIuYuF9bsGj2ZOfrC96bMc5aNG0Y2fPbf9H7J43ub1qK+dsefiKAAAIIIIAAAggggAACuRMgoEtozw4EEEAAAQQQQAABBBBAwNsCBHTenh965xcB+okAAggggAACCCCAQA4ECOhygE6TCCAQbgFGjwACCCCAAAIIpEuAgC5dktSDAAIIIIBA+gWoEQEEEEAAgWIFCOiK5WEnAggggAACCCDgFwH6iQACYRQgoAvjrDNmBBBAAAEEEEAAgXALMPrACBDQBWYqGQgCCCCAAAIIIIAAAgiETSAbAV3YTBkvAggggAACCCCAAAIIIJAVAQK6rDDTSPIC5EQAAQQQQAABBBBAAIFkBQjokpUiHwIIeE+AHiGAAAIIIIAAAiEXIKAL+QHA8BFAAIGwCDDO9AsURKokmQXBIDKV/IcAAj4VIKDz6cTRbQQQQAABBHIpsH2zWf6H5WzFW4FMoRvXj/+NvCUsUGiay6OKthFAIBWByP+9qRSjDAIIIIAAAgiEWaDgV7MVc/Ns2cvlSAEw2JwfOdOYlxfmQ7oMY6coArkVIKDLrT+tI4AAAggggAACCCCAQFgEMjBOAroMoFIlAggggAACCCCAAAIIIJANAQK6bCjnpg1aRQABBBBAAAEEEEAAgYALENAFfIIZHgLJCZALAQQQQAABBBBAwI8CBHR+nDX6jAACCORSgLYRQAABBBBAwDMCBHSemQo6ggACCCCAQPAEGBECCCCAQGYFCOgy60vtCCCAAAIIIIAAAskJkAsBBFIQIKBLAY0iCCCAAAIIIIAAAgggkEsB2nYFCOhcCR4RQAABBBBAAAEEEEAAAZ8JENAlMWFkQQABBBBAAAEEEEAAAQS8KEBA58VZoU9+FqDvCCCAAAIIIIAAAghkTYCALmvUNIQAAgjECvAaAQQQQAABBBAomwABXdn8KI0AAggggEB2BGgFAQQQQACBOAIEdHFQ2IQAAggggAACCPhZgL4jgEB4BAjowjPXjBQBBBBAAAEEEEAAgVgBXvtcgIDO5xNI9xFAAAEEEEAAAQQQQCC8AtkN6MLrzMgRQAABBBBAAAEEEEAAgbQLENClnZQK0yVAPQgggAACCCCAAAIIIFC8AAFd8T7sRQABfwjQSwQQQAABBBBAIJQCBHShnHYGjQACCIRZgLEjgAACCCAQHAECuuDMJSNBAAEEEEAAgXQLUB8CCCDgcQECOo9PEN1DAAEEEEAAAQQQ8IcAvUQgFwIEdLlQp00EEEAAAQQQQAABBBAIs0Daxk5AlzZKKkIAAQQQQAABBBBAAAEEsitAQJdd79y0RqsIIIAAAggggAACCCAQSAECukBOK4NCIHUBSiKAAAIIIIAAAgj4R4CAzj9zRU8RQAABrwnQHwQQQAABBBDIsQABXY4ngOYRQAABBBAIhwCjRAABBBDIhAABXSZUqRMBBBBAAAEEEEAgdQFKIoBA0gIEdElTkREBBBBAAAEEEEAAAQS8JhD2/hDQhf0IYPwIIIAAAggggAACCCDgWwECulJNHZkRQAABBBBAAAEE0iFQbutaq7R2sVVa8zkpAAblN/2QjsOCOlIQIKBLAu3hqS9bizZdnNS19wjbvGVrEqXIEnoBABBAAAEEEEAgoUC5XzZazX+Nt9rv300KgEH5LWsTzjU7MitAQFeC76y5C2z6i7Nt9jNjbNHsyVavbk27dcyUEkqxGwEEECidALkRQAABBBBAAIFUBAjoSlB7/a2PrMMZbaxOrepOzpNPONzmL1xiq9b86LzmBwIIIIAAAlkWoDkEEEAAAQQKBQjoCil2fqKllSvzi54+rlurhhUUFFj+agK6ncXYggACCCCAAALeEqA3CCAQdAECuiRmuNF+9RPm2qtWVUslVauSZw33KyAFwGCfvQts1yrlUzoOUjl2VGbPGlWs3B417NcDDyEFwWDfJlZ910pZPYbq7FHZGlfa3Y6uUo8UAIP9K+5umlP9fshW0jG7a+T33+6NCozkf4PKu+VZvcjflmwdP2qnapVK9kuNxvZLrQNJXjEoQz8qVq5smtdUUsI32uxISoCALgmmr75ekUSu0mU5vGVlG9inEikABn17VLKmjSqU7gAoY+7y5fKs9qntreat40gBMKh93c1WrVbNMh4VpStesUI5G9XoGJvb4hxSAAxGNTraKkXmtHRHQdly71GrvB1/ZWVrN6ASKQAGLU+sZPrbUrajonSld6u/v1U55Qar9JchpAAY7NGwRekOAHKnTSBXAV3aBpDJiqpVreLcBCW6jfw16ywvL8/q1v7tmrrofTxHAAEEEEAAAQQQQAABBLIpQEBXgvbJJxzu3OXSvQmKbpLSumWTwpuklFCc3WkRoBIEEEAAAQQQQAABBBCIJ0BAF08lalvbY1qZ7nLZ5txe1qJNF9NNUgb26hyVg6cIIOApATqDAAIIIIAAAgiESICALonJvqzT6c530Ol76CaN7m9aiplEMbIggAACCHhcgO4hgAACCCDgdwECOr/PIP1HAAEEEEAAgWwI0AYCSQusXrveduz4Nen8ZESgLAIEdGXRoywCCCCAAAIIIIAAAlECCuZ63DjaJj35MkFdlAtPMydAQJc5W2pGAAEEEEAAAQQQCJlA7Zp72MghPWzGP98jqAvZ3Kc83DIWJKArIyDFdxbYuGmL/f2Z123o3ZOdX2Zbf/5l50xsQSCBQEFBgb3w2hw7qn1PO+uvN9tnS75OkJPNCCCAQGYEtm3fYROmvGiHnXKFdel1h61ctTYzDVFroAS+WZ5vvQaPte9XrrZ9G+xp9916rfM+iDN1gZpmTw6GgM6T05KxTmW84g0bN1vfYeNsydLvrGWzRjZp6svOLzdtz3jjNBAIgf98+qU98uRMu+eWa6z9n4+2qwfcYws+WRKIsTEIBBDwh4C+omj2e/+2x+4dYI3328uu7DfSvln+gz86Ty9zJlB/z1rWoH5tu3bQfQR1OZuFcDZMQBfOec/YqGe++YE1bbyPDe3bxc79y/H26D032fYdO2z0xKedx4w1TMUZEMh+lfp085VZH1q3i86wI1s1s8sv/Itd3+N8u37YAwR12Z8OWkQglAL//eo7mzV3vvW/qpO1aNrQBlx7sfPh0jUD7yWoC+URkfygK1Yob726dbAjWzcjqEuejZxpECCgSwMiVfwu8MWy723XXapaXl6es3G3Xas5fxT/s+gLW/HDGmcbPxCIJ6DA/+U33neWW+7ToK6TJS8vz05t+0eCOkfD4z/oHgIBENAlApOfmmn/WfSl1atb0xlR+fLlrOsFpxPUORr8KEmAoK4kIfZnQoCALhOqIa7zuCMPMZ1h0fpxl6H67rtapUoV7Zdt291NPCKwk0CF8uXtssgZuYvO+bMNHPGQs1xFmfLyfgvqbrvpcr4DUiAkBAIg4NUhVKlcyQb26mytDzkw8nvoYXMvF3CDuqu6nOP8PfNq/+lX7gR++WWb/W30Y6aVShUiHwIkOlO3S7Wq9mtBQe46SsuBFCCgC+S0Zm9QumHFpdfdbkPufsR0m96jDmtuhzRrbL2GjLUvly13btf73CvvWoN6tZ0LhLPXM1ryi8CP6zfarLkLbM68T2zbtm12Reczrd3xh1uPm0YXCeqOat3cWc5r/EMAAQTSKLBjx6+2aPEye3X2PFv27UqrWqWyDe59ielOhb2H3l8kqGt3wuFWr85vZ+7S2AWqKl7AF3v1wfUZJx9tdz/wlPPBdqKg7sJzTjKdxfPFoOikbwQI6HwzVd7r6BdLl1ufoeNMQdzaHzdY9/6jbNXqdXbjNRfa8Uceahf0uMVatbvclnz1nQ3qdQm/wLw3hTnv0cLPvrKOVw61F197z+556Gk79/LB9sXS7+IGdTnvLB1AAIHACehulrdEzqoMuvNhe/3tj+zCq26xu8c/ZRUrVowb1AUOgAGlVaBR4ElbAAAQAElEQVTVwU3s7iE94gZ19zz0TORDy+1pbY/K4gmEcxsBXTjnvcyj3rR5q73x7nzrfF4763HJWTZq6FXW9pg/OGdV1q77ya7ueo7NmznePn5jkt05qLvtsfsuZW6TCoIloKVM90/+h909uEfk+OlpU8cNtv87/Xi7cfiDzgcDOlN34dkn2foNm4I1cEaDAAKeEdDdLHf8+qs9NWGo87voyQcG27sfLrQpT79aeKZOqwM2bdnqmT7TEe8I6JrLO8Y+Yfpw0u1VvKDu+u7n2/CbukU+KKjgZuMRgbQKlEtrbSGqLMxD3bZtu42cMM0ef/Z1O7R5Y4dCywf0Bjx2qZyzkx+hF9B3yz3/6hyb9+/PCy1W5K81LbfUbZ61UdeodDn/NDugYQObOetD0zF1/lknWrMm+2k3CQEEECiTgM7GTXn6Nfvy6+8L65n3n8+t4T71nN832qjvDhvc+1J76Z/vW/7qH53rdnW3XZZZSocUK1C5UkXnUgB991xsUHfaSUeazvzOX7jEuVGc/sbFluc1AukSIKBLl2SI6qlYsYL17naeHX7oQXbfpGcLry/QG3AFdWe2O9Y+W/JNiERKHGroM2zf8atznOjY2b5jh+NRv25Nq1Klsn30n8XOa/3QMdT8wIb29Xcr9ZKEAAIIpE1A1+hqZUCF8uWd67tV8RGRv2NzImfktF2vlfZtUNf05nvd+g16SUIgoUBeXp6dfeqfnFVJ0UGdPqz8dnm+TbnvZvtDiwMSlmcHAukSIKBLl2QI6om+g5O+mmDY9V2cTy9vuGW882ZdBHpDflmn0+2k41rrJQkBR0DHxcXnnmy7VKti5185zD5ZvNT0lRYXnvNn51oDLXHSWTy9qdJZPN0t1SkYyh8MGgEEMiFQrWoV69nlbNP3XXa+5jbnpkvHHdnSypUvZ7feM8U2btriNLvgky+sxh67mQI7ZwM/EIgS0DLLcZOfswu6D7PX3vrI2eMGdVfffI89PPVlG3DHRKtVcw9r0mhv58MBJxM/EMigQLkM1k3VAROIvYNToqAuYMNmOGkUOKBhAzv3LydYnyH3O0HdyccfZtd1O9f63TreTuzQ206/uL/zaWabY1qlsVWqQiDAAgyt1AK6kVerlk3s2kH3OR9G3jHgCmf5t34H/bljHxv/2PPW76pOzgeWpa6cAoEW0AePYyY+bVqq267NEXZb5IOAR6e/6oxZQd3IIT1t7rxPrMn+e9v13TuazgY7O/mBQIYFCOgyDBy06mMv9nWDuprVd7N/L/oiaMNlPGkS0PVy1//tARt+79/tvPYnmK6VU1C36L/LTEt0Zz09xqZNGGqvTr3Lul9yZuH1LGlqnmoQQCDkAjt2/GovvfG+nddtiC3+8huL/o4wrT4ZP6KP8/tHN0eZ/uAwa7zfXoEUY1CpCyiYW7J0uS1fscruGtTDul5wuk0a3d+envGWPfLUTKfiww9tag+P6me9r+jABwKOCD+yJUBAly1pn7ajpQUl3cFJQZ3u3sQyOZ9Ocoa7/f3K1dYr8kl465YHOn/kKlWsYJ3OPrEwqNPyS11YXqdWdf4AZnguqB6BMArojfij01+xZ19620bcfIW1OLCh86FRdFC34oc1zjLLWjV2Z4lcGA+SJMb82ZKvrdv1d9keu+/qfEehiijwv+eWa+zZl99xgjoda9oekMQwfCRAQOejycpFV/VGu2njfSz6Yl/1Q2fqou/gpG0kBOIJ/GPmO3b8UYfYheecVBiw5eXlFQZ1+hLWnzZujleUbQgggECZBZZHPlSaPfffNuyGv1rjhg2cOw6qUl3b6wZ1fEeYREjFCeiGXX+7oavN/egT5zsL3bxuULd8xerC6zDdfTwikC2B3Ad02Rop7ZRKQLd3Xvj5UqeM1oXre+Wigzru4OTQ8CMJAb2ZOjDyoUB0Vn2KqRuhaPnlwyP72e67VovezXMEEEAgbQLrf9oU+R2zi3MGLrrSZd+utG++W2nX8x1h0Sw8L0bghKMPtSF9utjt9z2+U1A3qPclzs2+iinOLgQyJkBAlzFa/1asO32NnjDNLrrqFns06mJfBXW5voOTf1XD1XN9IKBrVjTqgw9qZE+9MMu5+YBeK61ctc4mPfmycy2Cbg+ubSQEEEAgEwJ71qlh+WvW2Zx5nxSp/o135ztL5fLy8lhmafxLViBRUJdsefIhkAkBArpMqPq4Tt02vu+wcabr4iaPudGeen5WkaCOOzj5eHKz1PUtW3+x3oPHOneKU2B3xslHOy0PuOMh+27FKtPZ3TETp5uW7eoLfZ2dmflBrQggEEIBrQB454OFdsvox+yNd+abrou7/ML2zh0JX3xtrv38yzZ754OPbeabH9j5Z7UNoRBDLquAG9TpQ4HNW34ua3WUR6DMAgR0ZSYMVgX6A6dPM6/ofIbpJhajhvYsEtRxB6dgzXcmRlO1SiUbcO1F9trbH9mDU15wvjx85OCeVrVyJedrCU6+4Ho7qPG+1uPSswuvZclEP6gTgdIJkDsIAvoQSd8Rpg+NGtSvbXePf9K5WcWfj2ttw67/q416cJq1btfNxj36vN09uIft22DPIAybMeRAQEGdvvKiWtXKOWidJhEoKkBAV9Qj9K82bNpie9evU/jdKc2a7OfcFeyhx19yztTpk8/QIwEQV0BLLN3jY696te2B23sXBnXVqlWxOwd1t4/fmGTzZo63v15wmnOXubgVsREBBBBIUeCfkQ+SdP23VpgccehBVrlSJZvy9Gs2edorpjfg+oqURbMn29Rxg6xMKwRS7B/FEEAAgUwIENBlQtXHdR7YaB97ZdaH9v3K1YWjWL9hszVp1MC55fN7/1pUuJ0nCLgCuu7yqgGjnWMnUVCnT87d/DwigAAC6RTQ750tW3+2H1avsysubm+btmyNnJ17ym7p19UeGtnPuVZO3xWmfOlsl7oQSEaAPAhkWoCALtPCHq9f36ty6XW325C7H7HVa9fbUYc1t0OaNbZeQ8bap/9dZvqOsJHjn7JuF7WP/JE8w3nD7vEh0b0sCOj7CTdt3uq09M3yfOfYubLzmaavINAHAu6bJp2pO/qwFvZY5BPyjz/90snPDwQQQCDdAi+8Ntf0t+y0tkc6lws8M+Mt++MfDrKWzRpZvTo1rdF+9e2j/yx2flelu23qQwABBNIokFJVBHQpsQWj0BdLl1ufoeOcIG7tjxuse/9Rtiry6ebNvTrb6ScdZV373GmX973LLjj7RNObcn3yWaUya8WDMftlG8XUf7xhl19/l+mrB268bYKt+GGNc5OTu4f0KBLU6SsLvvr6e3th8nA77JADy9YopRFAAIEYAX14tG79Bpv55vs2qNclpmvAlUW/e/SBkp7r7pa77VLN7r31WqtTq7o2kRBAAIFACRDQBWo6kx/MpsjZFd2dqfN57azHJWfZqKFXWdtj/mA9bhrtBHVdOp5q788Y56Tzz2xr+vTztdnzrEvHU5JvhJyBE9i+Y4czposjx03j/fay6wbd51wPd/ThLZztunOlgroR90+1Hje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u+9PH5Mv7bPP+K5f8RUkd0+tLnuaUD5NVnmxTX/albNpvzpv32Z98VUreKk/Kpu30odqXbfZX+bPN++yvUvKn3PT9CWDinJTXVf68zr70JX2q9s+2Tb7kT/tVmt5eyld9qfJkm3nJsaSUSV+TL++rlDypP+1U+7KNT+poTq3ypXxznrxPWxlnxpu6ktJu2q/y5vXznrNLyTZlkicpr1u1M718VU/yp1wnKYFnVU+2rdqNS/bP1s5cVnGIR1xa9XOu8imTsrGKQ95PT1UbGUdzSrkqb8aQsWRM1b5sq/azzfsqJV/yN9c3PU/6k34158nrtFXVY0uAAAECBAiMsMAQDG0oA7ohcNVFAgQIECBAgAABAgQI9F1AQNd34rYbkJFAS4HcL5hLfXNZ4Fxp+v1eLSu0kwABAgQIECBAYGQEBHQjM5UGMqoCrS4NvHn1bx//n0sAq5RLEKvLBPN6VE2MiwABAgQIECBAYIOAgG6Dg58ECBAYXQEjI0CAAAECBEZWQEA3YZzWKwAAEABJREFUslNrYAQIECBAYP4CShAgQIDAcAkI6IZrvvSWAAECBAgQIFAXAf0gQKAGAgK6GkyCLhAgQIAAAQIECBAYbQGj65eAgK5fsuolQIAAAQIECBAgQIBAnwVGMqDrs5nqCRAgQIAAAQIECBAgUAsBAV0tpkEnBiigaQIECBAgQIAAAQJDKyCgG9qp03ECBBZeQIsECBAgQIAAgXoJCOjqNR96Q4AAAQKjImAcBAgQIEBgAQQEdAuArAkCBAgQIECAwGwCjhEgQKBTAQFdp3LKESBAgAABAgQIEFh4AS0S2EhAQLcRhzcECBAgQIAAAQIECBAYHoHZA7rhGYeeEiBAgAABAgQIECBAYOwEBHRjN+X9G7CaCRAgQIAAAQIECBBYWAEB3cJ6a40AgQ0CfhIgQIAAAQIECPRAQEDXA0RVECBAgEA/BdRNgAABAgQIzCQgoJtJxn4CBAgQIEBg+AT0mAABAmMmIKAbswk3XAIECBAgQIAAgQ0CfhIYBQEB3SjMojEQIECAAAECBAgQINBPgdrWLaCr7dToGAECBAgQIECAAAECBGYXENDN7jOYo1olQIAAAQIECBAgQIBAGwICujaQZCFQZwF9I0CAAAECBAgQGF8BAd34zr2REyAwfgJGTIAAAQIECIyYgIBuxCbUcAgQIECAQG8E1EKAAAECwyAgoBuGWdJHAgQIECBAgECdBfSNAIGBCQjoBkavYQIECBAgQIAAAQLjJ2DEvRUQ0PXWU20ECBAgQIAAAQIECBBYMIERD+gWzFFDBAgQIECAAAECBAgQWHABAd2Ck2uwtgI6RoAAAQIECBAgQGDIBAR0QzZhukuAQD0E9IIAAQIECBAgUAcBAV0dZkEfCBAgQGCUBYyNAAECBAj0TUBA1zdaFRMgQIAAAQIE5isgPwECBOYnIKCbn5fcBAgQIECAAAECBOohoBcEJgUEdJMI/iNAgAABAgQIECBAgMAwCrQb0A3j2PSZAAECBAgQIECAAAECIy0goBvp6R3U4LRLgAABAgQIECBAgMBCCAjoFkJZGwQIzCzgCAECBAgQIECAQMcCArqO6RQkQIAAgYUW0B4BAgQIECCwsYCAbmMP7wgQIECAAIHREDAKAgQIjIWAgG4sptkgCRAgQIAAAQIEZhZwhMDwCgjohnfu9JwAAQIECBAgQIAAgYUWqFl7ArqaTYjuECBAgAABAgQIECBAoF0BAV27UoPJp1UCBAgQIECAAAECBAjMKCCgm5HGAQLDJqC/BAgQIECAAAEC4yYgoBu3GTdeAgQIREAiQIAAAQIERkJAQDcS02gQBAgQIECgfwJqJkCAAIH6Cgjoupybn6xdVyQG1oA1YA1YA9aANWANNNaAz0U+G857DXT5cXzsiwvoxn4JACBAgAABAgQIECAwCAFt9kJAQNcLRXUQIECAAAECBAgQIEBgAAJjE9ANwFaTBAgQIECAAAECBAgQ6KuAgG6Sd+Up55c9lx+xUbrgkqsmj2z4L6+r42879tTy6LrHNhzwc1QFjIsAAQIECBAgQIDAUAgI6H4zTa9/5f7l5tUXTaUjD3tN48g1191YLv/i6rL6irMax3Zatn05+ayLG8f8IECAQCkMCBAgQIAAAQKDExDQzWF/9TeuLwcftLzsuHTbRs4DX7pvueGm28p9ax9qvPeDAAECBAi0LSAjAQIECBDosYCA7jegX/jKtVOXXOYSy+zOpZX3rnkgL6fSsqXblfXr15c19wvoplC8IECAAAECBHouoEICBAi0IyCgm1RadcJRjcspc8nlZeedVD792StLLrWcPNT4b7edn9nYtvqx9eKnlF6kJU/dvEgMulkDvViH6ujN7zNHjtaANWANWAMLvAZ68nl0UH1u9RnbvvYFNms/63jk3HOPXcoB++9dbr/rnlL9aX5d7ZvaTkyU0mV64sn15aqvri9nf6pIDDpaA1ddvb48PrmOul2Lynf/+8yQoTVgDVgD1oA1MM81UPzpRmD+AV03rQ1Z2SWLF5U8BKW522vWPjj5OzpRlu2w4Z66hx/9dek2PfrY4+WBByfKnXdJDDpbAw88UErWUbdrUfnuf58ZMrQGrAFrwBqwBua3Bpo/a3s9f4GxD+jycJNPXHDFlNzNt95Z/uH//LC8eJ/nNfblISh5ymXyZUcekrLPXrtPPSQl+6SZBRwhQIAAAQIECBAgQKB/AmMf0G21ZFH5x+//89QDUQ45+qTyX9/35pJLL8N+wH57N55yufxNKxp58pCUE1ccnkMSAQK9FVAbAQIECBAgQIDAPAXGPqDLZZUXnnn81ENR8mCUBHHNjvlOuuxPSt6UaT7uNQECBAgstID2CBAgQIAAgQiMfUAXBIkAAQIECBAYYQFDI0CAwAgLCOhGeHINjQABAgQIECBAYH4CchMYNgEB3bDNmP4SIECAAAECBAgQIFAHgVr0QUBXi2nQCQIECBAgQIAAAQIECMxfQEA3f7PBlNAqAQIECBAgQIAAAQIEpgkI6KaBeEtgFASMgQABAgQIECBAYDwEBHTjMc9GSYAAgZkE7CdAgAABAgSGWEBAN8STp+sECBAgQGBhBbRGgAABAnUTENDVbUb0hwABAgQIECAwCgLGQIDAgggI6BaEWSMECBAgQIAAAQIECMwkYH/nAgK6zu2UJECAAAECBAgQIECAwEAFxjCgG6i3xgkQIECAAAECBAgQINAzAQFdzyhVNJICBkWAAAECBAgQIECgxgICuhpPjq4RIDBcAnpLgAABAgQIEFhoAQHdQotrjwABAgQIlMKAAAECBAj0REBA1xNGlRAgQIAAAQIE+iWgXgIECMwsIKCb2cYRAgQIECBAgAABAsMloLdjJyCgG7spN2ACBAgQIECAAAECBEZFoJuAblQMjIMAAQIECBAgQIAAAQJDKSCgG8ppG8ZO6zMBAgQIECBAgAABAr0WEND1WlR9BAh0L6AGAgQIECBAgACBtgQEdG0xyUSAAAECdRXQLwIECBAgMM4CArpxnn1jJ0CAAAEC4yVgtAQIEBg5AQHdyE2pAREgQIAAAQIECHQvoAYCwyEgoGuap0fXPVbeduypjZTX1aELLrmq7Ln8iEbK8eZjVR5bAgQIECBAgAABAgTGVGCAwxbQ/QY/Qdp7V368fPvGH/xmz4bNNdfdWC7/4uqy+oqzys2rLyo7Ldu+nHzWxRsO+kmAAAECBAgQIECAAIEBCgjofoOfIG3/F+5Vjjv6kN/s2bC5+hvXl4MPWl52XLptY8eBL9233HDTbeW+tQ813g/ghyYJECBAgAABAgQIECDQEBDQTTKsPOX8yZ+lHHnYaxrb6kfO2t275oHqbWO7bOl2Zf369WXN/QK6BogfNRfQPQIECBAgQIAAgVEWGPuALvfHZYJXnXBUNi3Tbjs/s+X+7Fy05eal27TlFpunKolA5wITpWQddbsWle/+93moDXvw95nxW0PWgDVgDVgD810DnX8AUjICYx/Q/ejOu8sXvnJt44EnefDJGedd1riPLvfT5QxdkG6/655sWqYlT928dJsWbblZmZj8QN6yATsJtCGQ5ZN11O1aVL7732eGDMdlDRintW4NWAO9WgNtfNSRZRaBzWY5NhaHcmYuDzupUu6he9Hezy1nrzqm7LD9to2HoDRDrFn74GTwNVGW7bDhnroHHv5V6Tb9/JFfl/Xrm1vxmsD8BLJ+so66XYvKd//7zJChNWANWAObrIGuPysxHW3T+X3qkXu6wNgHdNNBpr/PQ1DylMvqISh5SMo+e+0+9ZCU6fm9J0CAAAECBAgQIECgUwHl5isgoJtD7ID99m485XL5m1Y0LsvMQ1JOXHH4HKUcJkCAAAECBAgQIECAQP8Fxjqga8WbJ11eeObxZcniRVOHs6+6JHP6salMXhAgQIAAAQIECBAgQGCBBQR0CwyuuaEV0HECBAgQIECAAAECtRMQ0NVuSnSIAIHhFzACAgQIECBAgMDCCAjoFsZZKwQIECBAoLWAvQQIECBAoAsBAV0XeIoSIECAAAECBBZSQFsECBCYLiCgmy7iPQECBAgQIECAAIHhFzCCMREQ0I3JRBsmAQIECBAgQIAAAQKjJ9CbgG70XIyIAAECBAgQIECAAAECtRcQ0NV+ikavg0ZEgAABAgQIECBAgEBvBAR0vXFUCwEC/RFQKwECBAgQIECAwCwCArpZcBwiQIAAgWES0FcCBAgQIDB+AgK68ZtzIyZAgAABAgQIECBAYEQEBHQjMpGGQYAAAQIECBAg0B8BtRKos4CArs6zo28ECBAgQIAAAQIECAyTwIL3VUC34OQaJECAAAECBAgQIECAQG8EBHS9cRxMLVolQIAAAQIECBAgQGCsBQR0Yz39Bj9OAsZKgAABAgQIECAwegICutGbUyMiQIBAtwLKEyBAgAABAkMiIKAbkonSTQIECBAgUE8BvSJAgACBQQoI6Aapr20CBAgQIECAwDgJGCsBAj0XEND1nFSFBAgQIECAAAECBAh0K6B8ewICuvac5CJAgAABAgQIECBAgEDtBAR0jSnxgwABAgQIECBAgAABAsMnUKuA7r61D5WD33FSufnWOzeRvOa6G8vbjj21PLrusU2O2UFgQQU0RoAAAQIECBAgQKAmArUK6GYzWbZ0u/LwI+vKI48K6GZzcowAgXoJ6A0BAgQIECBAoJ8CQxPQfeuGW8rWWy0uWy1Z1E8PdRMgQIAAgUEJaJcAAQIECMxboBYBXS6xfMlr312Wv2lFueWHd5ZDjj6p7Ln8iI3Spz97ZfnAOw8tSxb3PqBbecr5G7WVyzubJS+45Kqp4y77bJbxmgABAgQIEBiMgFYJECCwQaAWAd2ee+xSvnnlOWX1FWeV5z1nl3LZeSeVm1dftFHK8eTb0O3e/cx9e6ntu186t9Fe2v7YJz83dR9fgrvLv7i60bf0aadl25eTz7o4RSQCBAgQIECAAAEC9RfQw5EWqEVAVwnvuHTbcvmnJs/OTQZ41b5+b9PmqhOOmjrzt2yHbcvExERZs/bBRtNXf+P6cvBBy0vyZceBL9233HDTbaUKBLNPIkCAAAECBAgQIECAwCAEeh3QDWIMPW3z+7feUX7281+UPIQlT9S8d80DG9Wf/evXry9r7n+osX+zScFu08RkHY3K/CDQqcBEKRObTZTNpAU12HzSW5ooDBhYA9ZAXdeA/y9OLOj/Fzv1Lv50JVC7UCJnvl715g9O3bPWfC9d9ud4VyOeoXB1H997V368rFp5VGm+vHO3nZ85Q6lSdtxmUddpu62eOnlWcMYmRviAofVKYDKeK9tttcXkWtxS2mbhDJZOtiVtWRgwsAasgbqugR0n/56WFu7/i51a9+rz0LjWs1ndBn7mpy4v++y1e+N+ttyz1py+/LnTpi597HW/E8DlPr3cx3fq2ZeU3DtXtXH7XfdULzfZ/vShx0q36YGHf1kmT/ptUrcdBNoVyPp54OFfTa7FX6+5miMAABAASURBVI5ueqh+Y1sz2Sfpl4UBA2vAGqjrGvjp5N/TUv3+/zl9Ttr9vCNfa4FaBXQ5+3bbHXeXt7zxwNa9XYC9uVcuAWWCuDxRMw9BaW4299ZNTEyU3GvXvN9rAgQIEKiPgJ4QIECAAIFxEahVQDcI9FxqueoT//9U03l/zbU3luoyyzwEJU+5TLCZTHlISgK+BH55LxEgQIAAAQJDLaDzBAgQGGqBWgV0CZJ23/XZ5Vs33LJgqLv+3k7lnyfPClb36uU78HIP3QH77d3oQ7Z5ymW+Iy958pCUE1cc3jjmBwECBAgQIECAwDgJGCuB+gnUKqALTy63/N4t/1zyhMm873fKZZUXnnn8RvfsJYhrbvfIw14zdTx5U6b5uNcECBAgQIAAAQIECBDYSGCB3tQqoMtljR/46Dnla39/Q3nBq9+5yZMu+/mUywXy1gwBAgQIECBAgAABAgR6JlCrgC6XXOZJls1Ptmx+nWPJ07PRj05FRkKAAAECBAgQIECAwBgK1CqgG0N/QyYwAAFNEiBAgAABAgQIjIpArQK6XHKZyyrz8JFWKceSZ1TwjYMAAQK1F9BBAgQIECBAoNYCtQrocjllLqtsvswyr7/7pXPLy/9on3L6R95dkqfWojpHgAABAgTGVMCwCRAgQGDhBWoV0M00/DxV8t887w/KZz9/9UxZ7CdAgAABAgQIEBgeAT0lQKBHAkMR0GWsL97neeW2O+4uLrmMhkSAAAECBAgQIEBgXASMczaBoQnoZhuEYwQIECBAgAABAgQIEBhHgaEJ6HK55e67Prvv99CN4yIwZgIECBAgQIAAAQIEhlOgVgFdLqfMkyxbPeHy3jUPlBNXHD6cyno9qgLGRYAAAQIECBAgQGCgArUK6PIEy1ZPucyTLi888/iSh6MMVEvjBAgQ6FhAQQIECBAgQIBA7wVqFdBVw7vmuhvL9LN02VcdtyVAgAABAiMtYHAECBAgQKBNgdoFdAncTj37krL6irNKzswlXXbeSWXlqvPLBZdc1eawZCNAgAABAgQIjIeAURIgMN4CtQroHl33WLn48q+W49972EYPP9lzj13KqpVHlWu/c1NJnvGeMqMnQIAAAQIECBAg0JGAQiMoUKuA7pFHHysPP7KuLFu63SbU2ZdjybPJQTsIECBAgAABAgQIECAwhgL9C+g6wNxqyaKy9VaLy5q1D25SOvtyLHk2OWgHAQIECBAgQIAAAQIExlCgVgFdnmK5/wv3KrmHLl9hUM3Hzbfe2biHLseSp9pvOzoCRkKAAAECBAgQIECAwPwFahXQpftHHvaaxj10y9+0YupJl4ccfVLjHrocSx6JAIGxFjB4AgQIECBAgACB3wjULqBLvw7Yb++pJ1zmKZdJ2ZdjEgECBAgQaF9ATgIECBAgMNoCtQzoRpvc6AgQIECAAIFaCugUAQIEhlCgdgHdylPOL2879tSNvp4gX1WQfb6HbghXmC4TIECAAAECBEZQwJAI1EWgVgFdArd71zxQDj/4FaX54Sd5nX2+h64uy0Y/CBAgQIAAAQIECBBoU6Cv2WoV0OU75vJdc/nOuemjzr4cS57px7wnQIAAAQIECBAgQIDAOArUKqDLd8zlu+bynXPTJyP7cix5ph/zvknASwIECBAgQIAAAQIExkagVgFddWnlylXnl3z3XDULeZ19/fgeulzmmfvz9lx+xNTXJFxz3Y1V041t7t2rjidvyjQO+EFgyAV0nwABAgQIECBAYLgFahXQhTJfT/Dp0z9Y3v6B06YCrH5+D10u4dxp2fblu186t/FVCWevOqYkeEwQmf4kuLv8i6vL6ivOahxP3pPPujiHJAIECIyTgLESIECAAAECNRSoXUAXoz332KV888pzGgFUvoMuKYFejvU67bh027LqhKOmHsLy/D12LU/f5mkll3imrau/cX05+KDlJfny/sCX7ltuuOm2ct/ah/JWIkCAAAECBDYRsIMAAQIEFkqglgHdQg2+VTtr7n+orF+/vuQhLLm0Mk/dbM6X/TmefM37vSZAgAABAgQIEOhAQBECBLoSENA18SWAO/3cS8shrzug5CxhdWi3nZ9Zvdxku9P2i0u3aenTF5WJiU2qtoNA2wJZP1lH3a5F5bv/fWbI0BqwBqwBa8AamN8aaPsDTylF3k0FBHS/MUkw996VHy+5R+7Iw17zm70bNrffdc+GFy1+rnlwXek2PfDzxybPCrao3C4CbQpMnlQuWUfdrkXlu/99ZsjQGrAGrAFrwBqY3xpo8+OObDMICOgmYZqDudxPN7mrlFIa99UlwKveZ5t76yYmJsqyHbbN2/Lk+tJ1yofxRmV+EOhCIOuoF+tRHd3/TjNkaA1YA9aANWANtL8Guvj4o+ikwNgHdFUwl69EaA7mJm0a/+UhKHnKZfUQlDwkZZ+9dp96SEojkx8ECBAgQIAAAQIECBAYgMDYB3R3/Mu95Qe33VXOOO+yqa9JyHfOrTzl/MZ0HLDf3o2nXC5/04rG8Twk5cQVhzeO+UGAAIFOBJQhQIAAAQIECPRKYOwDujz8ZPpXJORrEprP1uWeuuxLuvDM4xuXYvZqAtRDgAABAgRmEXCIAAECBAjMKjD2Ad2sOg4SIECAAAECBIZGQEcJEBhHAQHdOM66MRMgQIAAAQIECIy3gNGPjICAbmSm0kAIECBAgAABAgQIEBg3gYUI6MbN1HgJECBAgAABAgQIECCwIAICugVh1kj7AnISIECAAAECBAgQINCugICuXSn5CBCon4AeESBAgAABAgTGXEBAN+YLwPAJECAwLgLGSYAAAQIERlFAQDeKs2pMBAgQIECAQDcCyhIgQGBoBAR0QzNVOkqAAAECBAgQIFA/AT0iMFgBAd1g/bVOgAABAgQIECBAgMC4CPRhnAK6PqCqkgABAgQIECBAgAABAgshIKBbCOXBtKFVAgQIECBAgAABAgRGXEBAN+ITbHgE2hOQiwABAgQIECBAYBgFBHTDOGv6TIAAgUEKaJsAAQIECBCojYCArjZToSMECBAgQGD0BIyIAAECBPorIKDrr6/aCRAgQIAAAQIE2hOQiwCBDgQEdB2gKUKAAAECBAgQIECAwCAFtF0JCOgqCVsCBAgQIECAAAECBAgMmYCAro0Jk4UAAQIECBAgQIAAAQJ1FBDQ1XFW9GmYBfSdAAECBAgQIECAwIIJCOgWjFpDBAgQmC7gPQECBAgQIECgOwEBXXd+ShMgQIAAgYUR0AoBAgQIEGghIKBrgWIXAQJdCqxfX7b8m8+Up552jMSgozWwxRc/U9ZPrqMuV6LiBMZWwMAJEBgfAQHd+My1kRJYUIGJtfeWze+4RWLQ0RqYWPvTBV2vGiNAgMAYCxj6kAsI6JomcOUp55cLLrmqac+Gl9m35/IjStLbjj21PLrusQ0H/CRAgAABAgQIECBAgMAABRY2oBvgQGdrugrYvvCVazfJds11N5bLv7i6rL7irHLz6ovKTsu2LyefdfEm+ewgQIAAAQIECBAgQIDAQgsI6CbFjzzsNY1g7fWv3H/y3cb/Xf2N68vBBy0vOy7dtnHgwJfuW2646bZy39qHGu/96J+AmgkQIECAAAECBAgQmF1AQDeLTy6tvHfNAxvlWLZ0u8aN+mvuF9BtBOMNgcEKaJ0AAQIECBAgMJYCAro2pn23nZ85Y67tt96ydJu22WqLMjExYxMOEJhTIOsn66jbtdir8unLxGYW9ZwTJ8OMAlk/WUe9WpMb1zP/v7e3e9qW5Z7NflF+XCQGna2BeyfXT9ZRt2tR+fn//jKrv9mM/zNwoC0BAV0bTLffdc+MuR557PHSbVr3yycmz/rN2IQDBOYUWD+ZI+uo27XYq/LpiyfOT06K/zoWyPrJOurVmuy2nl+s+3X51Np/Km/+169I42bQo/F+au0PysOT66jbtah895+7GNbPsOP/WSjYEBDQNRha/1iyeFHjISjNR9esfXDybNpEWbbDhnvqfvnrJ0u36dePP9nchNcE5i8wGdFlHXW7FntVPn3xrxTzn0YlmgQmI7qso16tyW7rSV8eeGJduf3xhyUGHa2BBx5/rGQddbsWle/+c1c/DdXd2fw0/e3vZQcCAro50PIQlDzlsnoISh6Sss9eu089JGWO4g4TIECAAAECBAgQIEBgukDP3gvoJimbv7bgjPMuKy957bvLzbfeWfLngP32bjzlcvmbVjS+hy4PSTlxxeE5JBEgQIAAAQIECBAgQGCgAgK6Sf7qawtuXn1R4+sLvnnlOWXPPXaZPLLhv+bjF555fMmlmBuODMlP3SRAgAABAgQIECBAYCQFBHQjOa0GRaBzASUJECBAgAABAgSGR0BANzxzpacECBCom4D+ECBAgAABAgMWENANeAI0T4AAAQIExkPAKAkQIECgHwICun6oqpMAAQIECBAgQKBzASUJEGhbQEDXNpWMBAgQIECAAAECBAjUTWDc+yOgG/cVYPwECBAgQIAAAQIECAytgIBuXlMnMwECBAgQIECAAAECBOojIKCrz1zoyagJGA8BAgQIECBAgACBPgsI6PoMrHoCBAi0IyAPAQIECBAgQKATAQFdJ2rKECBAgACBwQlomQABAgQITAkI6KYovCBAgAABAgQIjJqA8RAgMOoCArpRn2HjI0CAAAECBAgQINCOgDxDKSCgG8pp02kCBAgQIECAAAECBAiUMqiAjj0BAgQIECBAgAABAgQIdCkgoOsSUPGFENAGAQIECBAgQIAAAQKtBAR0rVTsI0BgeAX0nAABAgQIECAwRgICujGabEMlQIAAgY0FvCNAgAABAsMuIKAb9hnUfwIECBAgQGAhBLRBgACBWgoI6Go5LTpFgAABAgQIECAwvAJ6TmDhBAR0C2etJQIECBAgQIAAAQIECGws0OU7AV2XgIoTIECAAAECBAgQIEBgUAICukHJD6ZdrRIgQIAAAQIECBAgMEICAroRmkxDIdBbAbURIECAAAECBAjUXUBAV/cZ0j8CBAgMg4A+EiBAgAABAgMRENC1wX7BJVeVPZcf0UhvO/bU8ui6x9ooJQsBAgQIECDQSsA+AgQIEOidgIBuDstrrruxXP7F1WX1FWeVm1dfVHZatn05+ayL5yjlMAECBAgQIECg3gI/u3Oz8tAPJ+qe9K+mc/TzOyZKWb++3ot8THonoJtjoq/+xvXl4IOWlx2XbtvIeeBL9y033HRbuW/tQ433fhAgQIAAAQIEhk5g8oP4/d+dKP/0V5tLDDpaA/f9w0SpXzg3dL+JPemwgG4Wxlxaee+aBzbKsWzpdpP/GLG+rLlfQLcRjDcECBAgQIDAUAmsf7KUJ38tMehwDTwxVMt9pDsroGtjenfb+Zmb5Kp2PGvp4tJt2nHbRWXp0vVll50lBp2tge23X1+yjrpdi70qn76sf8azy5PP+UOJQUdrYP2yZ9VuTe+6xTblJYt2khh0tAZ22XLr2q3pRTusL9sstFQcAAAQAElEQVTsJjHobA0snlw/+f99Lz47VJ+rbTsTENC14Xb7Xfe0kavzLFs8ZbNy2BueWk48bktpNA36Pq9v/uNFZcvJddT5KuxtyazpHQ4/qmx/8jkSg47WwI6T66dua/q03V5crtvzjyUGHa2B03Z7Se3+nn7hIU8tr1i5pcSgozXwwkPq9dmjt59khqs2Ad0s87Vk8aLGQ1Cas6xZ+2CZmJgoy3bYtnm31wQIEOiRgGoIECBAgAABAu0LCOjmsDrwpfs2nnJZPQQlD0nZZ6/dpx6SMkdxhwkQIECAQP8E1EyAAAECYy8goJtjCRyw394lT7lc/qYVje+hy0NSTlxx+BylHCZAgAABAgQI1EtAbwgQGE0BAV0b83rkYa9pfAddvofuwjOPL7kUs41ishAgQIAAAQIECBAYRgF9HiIBAd0QTZauEiBAgAABAgQI9E/g/gd+Vp544sn+NaBmAn0QGHxA14dBqZIAAQIECBAgQIDAfAQSzL3rv55ZLvxfVwnq5gMn78AFBHQDnwIdmI+AvAQIECBAgACBfgjssP3Ty+kfeVe58m+/KajrB7A6+yYgoOsbrYoJEBiwQO2az7/+fvC/n1ted8SHype+/u2yfv362vVRhwjMR8Cano+WvHUVyN/HHzv7c+XXjz9Rfu/ZzyifPPn9grq6TpZ+tRQQ0LVksZMAAQK9FXj8iSfKX5zzv8rWT1tSjnrz/1P+8v+7tHzm8q8I6nrL3EVtis5XwJqer5j8dRXYe6/dy/du+VE55ZOfFdTVdZL0a1YBAd2sPA4SIECgNwL3/HRt+eWvfl1WHPUn5aBX7FfOXnVMufQL1wjqesOrlgEIjPWaHoC3JvsnsNOO25czP/qe8oPb7hLUFX+GUUBAN4yzps8ECAyNQHVJ2n9+/6qyeNFTy9O2Wtzo+3N337mccdK7BXUNDT+GScCaHqbZ0td2BfoZ1LXbB/kIdCogoOtUTjkCBAjMIdB8SdqHj31r+cebbyv/89IvTV1mWQV1ZX0pj3tM9hyaDtdBwJquwyzoQy8FfvWrX5c/O/OvGvc1P2OH7WY8U7fVksXlSfc995JeXa0FOtoroOuITSECBAjMLpCb6//um9+bDNSeaFxm+bL99y5nr1pRPn/V328S1B1x6KvKFk/ZfPYKHSUwYAFresAToPm+CGy55RbloANf0riv+cvXfKfMFNS9+Y9f7u/pvsyASnshIKDrheIw1qHPBAj0VeDue+4rf3nupeUpk4FadZnl7+/8rPLx//6+TYK6vnZE5QR6JGBN9whSNbUT2Pv5u5e//Mi7Ngnqbv3nfylf/vq3a9dfHSIwXUBAN13EewIENhGwY/4Cu/zuTuWTf35MufnWOzc6I1cFdVs85SmTZ++enH/FShAYkIA1PSB4zfZc4LFf/qrkawpu+sHtU3W3Cur+6hMry2snz95NZfKCQE0FBHQ1nRjdIkBg+AR+8ci6csZ5l5W3HnNK+eo3ri+7/M5OLc/IJag7/E9eMaqX7wzfxOnxjAKPrnusfPbzV5dVn/hsufPH95as3VZnmbPfmp6R0YGaCTx1yy3KHr//u2XFfzu7TA/qXv3yF5UPn3ZBueGm28rmm29WJiYmatZ73SGwqcBmm+6yhwABAgTmK5B/8T3hlPPLHZMfel/27/dpBHYfOvXT5ZnLtm8Z1M23fvkJLLRAnmb5npVnle/d/KOy5ZZPKUced1rjw2+Ct1ZBXWf9U4rAwgtMTEyUN7zq35f3vu2PNwrqHvrZL8qP715TLv7kh8q/3fMPFr5jWiTQoYCArkM4xQgQIFAJ5GER+VLaxU/dsvzFh99Z3nrwK8ul536k3Lf2oXLJX3996qyGyywrMdu6C2RNf/zTV5Q/etEfllNWvqNsv+3WZasli6Y+/FZBnTVd95kcsf51MZyf/fyR8tEzPtO4guKGm37YOPNWBXXv/dDHywWXXFVWfuz8snT7p5fdd/udxtm5LppTlMCCCgjoFpRbYwQIjKLANdfeWN5zwpnl3z5/97JoMqjLGJ++zVblfW97Y/na3/9DefBnDzeCusNdZhkaaQgEHv7Fo2Wbpy0pb3z1fyjf+Nb3yvXfu7VcfPaHNjqjkaDOmh6CydTFkisoTjztgpJ1nXvljv3I/yhX/931U0Hd6R95d7nuu98vu+/6O+W/vPOQ8pTNPXV4FJbNOI1BQDdOs22sBAj0ReDA//DvynFHH1ouuvRL5fu33jHVxtLttpn8V97Ny+OPPzG1zwsCwyCQM3L/77v/4+T63axc8r+/Vt7xnw4qT996q/IHkx94t59c16u/+Y8l30k3DGPRx/EWyNnm6gqKk48/svE1Mh+bPOv8sU9+rnGv88TERNn33+xRLjjjg+XYdxxclixeNN5gRj+UAgK6rqdNBQQIjLvAxMREOewNLytHHPrqctzkv/wmqMuHiM9NfhDOpTvbbbv1uBMZ/5AK5MxGHoyy3dO3LlnTn7/q78qfTq7znH12FmNIJ3XMup0rKN5/4ifKc3ffeeoKipfsu2dJcHfq2RuCujEjMdwRFBDQjeCkGlKNBXRtZAUmJn4b1L3nhLPK6956QnngoZ+XY4/6E5fvjOysj/7Atp0M5HafPCt39AdPL4cefVL515/cV/7oRXuN/sCNcGQEcgXFMW//k3LJX39toysoEtT9+QlvL7f88M7GP1aMzIANZCwFBHRjOe0GTYBAPwQmJiYaZ+qOPvx15Yknniy5v2jrpy3puCkFCQxaYIunbF4+fOx/LqsmP/j+l3cdWj755+8v1vSgZ0X78xGYmNjw93LzFRRV+Rfv87zGJZhZ59U+WwLDKCCgG8ZZ02cCBGorMDEx84eH2nZax0ZBoG9jyHdx7bPXc8p++z5/6pK1vjWmYgJ9EJiY8PdyH1hVWSMBAV2NJkNXCBAYDYGJiQ0fHo5/z5tL7j0ajVEZBQECoyMwfiOZmNjw9/Kf/sdXl69c893GVRTjp2DEoyogoBvVmTUuAgQGKjAxMVFe/kf7lGfvtMNA+6FxAgQIENggMDGRoO7l5QPvPKTxBNcNe/2cU0CG2gsI6Go/RTpIgAABAgQIECBAgACB1gJ1Cuha99BeAgQIECBAgAABAgQIEGgpIKBryWJn/QX0kAABAgQIECBAgAABAZ01QIDA6AsYIQECBAgQIEBgRAUEdCM6sYZFgAABAp0JKEWAAAECBIZJQEA3TLOlrwQIECBAgECdBPSFAAECAxcQ0A18CnSAAAECBAgQIEBg9AWMkEB/BAR0/XFVKwECBAgQIECAAAECBDoTmEcpAd08sGQlQIAAAQIECBAgQIBAnQQEdHWajcH0RasECBAgQIAAAQIECAypgIBuSCdOtwkMRkCrBAgQIECAAAECdRIQ0NVpNvSFAAECoyRgLAQIECBAgEDfBQR0fSfWAAECBAgQIDCXgOMECBAg0JmAgK4zN6UIECBAgAABAgQGI6BVAgSaBAR0TRheEiBAgAABAgQIECAwSgKjPxYB3ejPsRESIECgpcB9ax8qr3rzB8s1193Y8ninOx9d91h527GnlgsuuartKtKH9CV9arvQgDOmr+nznsuPKC957bvLzbfeWfwhQIAAAQILLSCg66G4qggQIEBgfATO/NTlZZ+9di83r76ofPPKc8qee+wyPoM3UgIECBCojYCArjZToSNjJmC4BAgMsUDOQt675oFy4Ev3HeJR6DoBAgQIjIKAgG4UZtEYCBAYcYHZh5fgIpc45tK/KjVf7th8aWCOT7888JFHN1wimWNJK085f5MGsy/HkqaXT+a0l2NJL3j1O8u3b/xBdjdS1X4uq2zsmPxR9TnlJt+2/K8qlzqTMsaUa5m5xc6q/JV/+83GJaCpI6m5zfQpl01mm3E1H88llNW+7I9Bmkkf3rvy440xZtt8LMeTL/uSUj71ZH/KZQxpv8qTttPPHM/+lKlS+pT9STmWshlLdby57uRJSlvZX+Vprj/t5H11LPWlTyknESBAgMDwCgjohnfu9JwAAQINgZPPurjstGz7xqV/ufxv9RVnlR/deXfJh/V8iD/8favKwQctnzq+auVRZc3aBxtl8+PPJ8t/4J2HNo5fdt5J5Zprb9zovroEH8mXupNS/u0fOG3qnrEEG5d/cXVJuzn+3S+dW16093NTpONU9fv49x7W6FfqzRgTQGVc86l4+vg+/dkrNxrfj3+yplx8+VfL1y4/o9HWkYe9pjG24076H+XTp3+wsS9jyhm5WCxZvKiceuLR5XeftaycveqYxvFVJxzV6FKO50X6mzTdKsfOOO+yxpm9HP/y504rOy7dtnG/4bXfuamknezPPKxcdf5G/UyQfN13v99oL3kO2H/vcvq5lzbmOfUmmMu8rJqc3xxP+tNDX1XW3P9Q6aVn2pIIECBAoD4CArr6zIWeECBAYN4CCW4SaPz+Ls+eKpsAIQFGAo+/+ep15VnPWFoOe8PLpo4fsN/eJanakaCjuv9r19/bqTx3953L7Xfd0zicIOG2O+4ux77j4Mb7/EiwljzfuuGWRqCQYC6BV9rN8V6k9Dv3pzX38y1vPLDcfe/95Y5/uXdeTTSPL+NMIHT1N66fqiOBWQK0eFU7P/v5q8shrztg6r64HDv84FeUG266rTHmKl/zdi6rKu9xRx+ykX+CrS9f852SoDrtJF+rfsb9xBWH53Aj5XLPn/x0bckZ1uxInzO2ZrNDX/+yxhh66Zm2pNERMBICBIZfQEA3/HNoBAQIjLFAAoD9X7hXyVmfPZcf0bi0MEFeRZIzdTmefNW++WxzJu+WH95Zlr9pRUn9Sc2XVObsz/r168uypdvNp9o586bfX/jKtVNtpt1Djj6p/PzhR+YsO1eGBL8Jgpudmstkf45Xpmk7KWcHm/NNfz2X1fT81fsY/uvkWcKML+1UKeOv8sy1rfqcIK9V3n56tmrPPgIERlLAoGoqIKCr6cToFgECBNoVaFwiuPqikjM/uSwvAVcv74/KGazqcsqbJ9upUtpNH7fZequybIdtS6//vP6V+09dXli1uZBPk4xn1W61rS6RnGmsc1nNVC6Gucyyaqfa5kzrTGXmu3/QnvPtr/wECBAg0J5APQO69vouFwECBAg0CSTASiCQ+7qqS/FyNir3ZuUMTlPWtl/mzFvOwOUs0kyFctZstuMzlZttf/qds2Sd9nu2unO2KvfjzXTWMvtzPPlmq2f6sXasppfJ+wTDExMTJWf48r6TVPW5+VLS5nr66dncjtcECBAgsPACArqFN9dijwVUR2CcBXL/Vc7GZVs55P633De31ZJF5cX7PK/84La7yiV//fXqcONBG81PUJw60OJF7ql79k47lA989JyN7h3Lg1BSR+71+nd/+JyS+7eq4mkrZwqr9+lH+tMcbEzPU+WttlW/88CXal+Cuzx0pHms1bF2t+lzHvryljceOGuRXLqYSx4zzipj2k376Ue1r3k7l1Vz3ubXufcw9wvmd/3/tQAABAtJREFUISi5D686lr42t1/tn2lb9TnlqjyXfuHrjQe89MuzaseWAAECBAYnIKAbnL2WCRBYeIGRazHBQM4mNd/jloeUVA/5SMCVJzXmyY7VvVkJHHI2qR2MnPm58MzjSwKO6W08f49dG1XkQR05m1bV/4tH1m30lMvUkf7kgSIz5WlU1PQj/f6bz6xqPISkKpNLSZMlY8623ZR736o6MvZ4pP7ZyufBIrkEstkt48+ZroynVdnsn8uqVbnsy6WVb3/La0vzfXTpawKxHG8npc85O9s83v956Zcbl8NmvL3ybKcv8hAgQIDAwgkI6BbOWksECBDoi0CCgVxqWaXp93nlw3zuPauO53X2JTBK3gQCVceqoCSXb1b7sp2tjapMVf8xb39TSWDTXEfV1kx50of0JfnSXlJeZ19VJtv0I8fmkxLkpGxSNfaqfKt2q2N77rFLSf6Uq1I1pqpvKV/lr7bpY5U/24wh+Sunqo4qf7XN/uSvUtrOPOV4jsU0deR9Utqu6s77pOyrymfbfDx9yPvsr1L6mnISAQIECAyvgIBueOdOzwkQIDCWArkssfnLs6uzb83bXIa6bt1jY+lj0AMS0CwBAgQGJCCgGxC8ZgkQIECgM4GctcrZq+osU6ttzmYtXryoswaUIkCAQJ8FVE+glwICul5qqosAAQIEaiNQXWKYyxBr0ykdIUCAAAEC8xOYM7eAbk4iGQgQIECAAAECBAgQIFBPAQFdPedlML3SKgECBAgQIECAAAECQyUgoBuq6dJZAvUR0BMCBAgQIECAAIHBCwjoBj8HekCAAIFRFzA+AgQIECBAoE8CAro+waqWAAECBAgQ6ERAGQIECBCYj4CAbj5a8hIgQIAAAQIECNRHQE8IECgCOouAAAECBAgQIECAAIGRFxjVAQroRnVmjYsAAQIECBAgQIAAgZEXEND1ZYpVSoAAAQIECBAgQIAAgf4LCOj6b6wFArMLOEqAAAECBAgQIECgQwEBXYdwihEgQGAQAtokQIAAAQIECDQLCOiaNbwmQIAAAQKjI2AkBAgQIDAGAgK6MZhkQyRAgAABAgQIzC7gKAECwyogoBvWmdNvAgQIECBAgAABAoMQ0GatBAR0tZoOnSFAgAABAgQIECBAgED7AnUP6NofiZwECBAgQIAAAQIECBAYMwEB3ZhN+GgP1+gIECBAgAABAgQIjJeAgG685ttoCRCoBGwJECBAgAABAiMgIKAbgUk0BAIECBDor4DaCRAgQIBAXQUEdHWdGf0iQIAAAQIEhlFAnwkQILCgAgK6BeXWGAECBAgQIECAAIFKwJZA9wICuu4N1UCAAAECBAgQIECAAIH+CsxQu4BuBhi7CRAgQIAAAQIECBAgUHeB/wsAAP//duOodgAAAAZJREFUAwBQWI6DznF8mwAAAABJRU5ErkJggg=="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cat_cols = ['glass_operation', 'triage_successful', 'is_garbage', 'workflow_ok',\n",
    "            'last_tool', 'agent_tone', 'schedule_preference']\n",
    "\n",
    "for col in cat_cols:\n",
    "    if col not in df.columns:\n",
    "        continue\n",
    "    vc = df[col].value_counts().reset_index()\n",
    "    fig = px.bar(vc, x=col, y='count', title=f'Distribucion: {col}', color=col)\n",
    "    fig.update_layout(xaxis_tickangle=-45, showlegend=False)\n",
    "    fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3c4d5e6",
   "metadata": {},
   "source": [
    "## 5. Metricas numericas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c3d4e5f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "bingroup": "x",
         "hovertemplate": "duration=%{x}<br>count=%{y}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#636efa",
          "pattern": {
           "shape": ""
          }
         },
         "name": "",
         "nbinsx": 20,
         "orientation": "v",
         "showlegend": false,
         "type": "histogram",
         "x": {
          "bdata": "GQF2AHwAOgEAAAAAAAAAAA8AEgAWABUADwBPABEAHQDAALMADQA5ADkAMQA6AEwAQwB6AJAApACpAKEAwACrALQAcQFDADAA7QDSAKkAzgDgANcAJQHVAPAABwH8AE0BYwH4AC0BEgEjAYMBiAFsAUQB6QG5ADIBYQA/AAAABQEMAUwBFQFYAHcBAgFqAOYAIAE=",
          "dtype": "i2"
         },
         "xaxis": "x",
         "yaxis": "y"
        },
        {
         "hovertemplate": "duration=%{x}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#636efa"
         },
         "name": "",
         "notched": true,
         "showlegend": false,
         "type": "box",
         "x": {
          "bdata": "GQF2AHwAOgEAAAAAAAAAAA8AEgAWABUADwBPABEAHQDAALMADQA5ADkAMQA6AEwAQwB6AJAApACpAKEAwACrALQAcQFDADAA7QDSAKkAzgDgANcAJQHVAPAABwH8AE0BYwH4AC0BEgEjAYMBiAFsAUQB6QG5ADIBYQA/AAAABQEMAUwBFQFYAHcBAgFqAOYAIAE=",
          "dtype": "i2"
         },
         "xaxis": "x2",
         "yaxis": "y2"
        }
       ],
       "layout": {
        "barmode": "relative",
        "legend": {
         "tracegroupgap": 0
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
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             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
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              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
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             ],
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             ],
             [
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             ],
             [
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             ],
             [
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             ],
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "metric_cols = ['duration', 'total_messages', 'filler_words',\n",
    "               'unnecessary_question_ratio', 'tool_retry', 'centers_count']\n",
    "\n",
    "for col in metric_cols:\n",
    "    if col not in df.columns:\n",
    "        continue\n",
    "    fig = px.histogram(df, x=col, title=f'Histograma: {col}', nbins=20, marginal='box')\n",
    "    fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d3e4f5a6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "name": "duration",
         "type": "box",
         "y": {
          "bdata": "GQF2AHwAOgEAAAAAAAAAAA8AEgAWABUADwBPABEAHQDAALMADQA5ADkAMQA6AEwAQwB6AJAApACpAKEAwACrALQAcQFDADAA7QDSAKkAzgDgANcAJQHVAPAABwH8AE0BYwH4AC0BEgEjAYMBiAFsAUQB6QG5ADIBYQA/AAAABQEMAUwBFQFYAHcBAgFqAOYAIAE=",
          "dtype": "i2"
         }
        },
        {
         "name": "total_messages",
         "type": "box",
         "y": {
          "bdata": "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",
          "dtype": "f8"
         }
        },
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Boxplots comparativos\n",
    "fig = go.Figure()\n",
    "for col in ['duration', 'total_messages', 'agent_total_messages']:\n",
    "    if col in df.columns:\n",
    "        fig.add_trace(go.Box(y=df[col], name=col))\n",
    "fig.update_layout(title='Comparativa de metricas principales')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e3f4a5b6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "customdata": [
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           "Sustitucion",
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          ],
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           "Sustitucion",
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          ],
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           "Ninguno",
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          ],
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           "cf141c55-bccf-43ab-80f7-2a3a350e295e",
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          ],
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          ],
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          ],
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           "True"
          ],
          [
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           "Sustitucion",
           "True"
          ],
          [
           "fb895c35-eaaf-4d7d-9a15-bfdf535b9075",
           "Sustitucion",
           "True"
          ],
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           "379e1216-d76c-4dbf-b22d-6f3c84106106",
           "Sustitucion",
           "True"
          ],
          [
           "698daf34-745e-4cfb-98aa-b7ddd51df4ed",
           "Sustitucion",
           "True"
          ],
          [
           "10c19c17-d218-4c6e-bd06-76f7b39c8d4c",
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          ],
          [
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          ],
          [
           "a077f538-ee28-415d-b6cb-6dd4aeb22b31",
           "Sustitucion",
           "True"
          ],
          [
           "40e116b4-090c-4630-b176-782197d026ce",
           "Reparacion",
           "True"
          ]
         ],
         "hovertemplate": "classification=error_tecnico<br>duration=%{x}<br>total_messages=%{y}<br>run_id=%{customdata[0]}<br>glass_operation=%{customdata[1]}<br>triage_successful=%{customdata[2]}<extra></extra>",
         "legendgroup": "error_tecnico",
         "marker": {
          "color": "#636efa",
          "symbol": "circle"
         },
         "mode": "markers",
         "name": "error_tecnico",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": {
          "bdata": "GQE6AaQAoQCpANcABwH8AE0B+AASAT8ABQF3AQIB",
          "dtype": "i2"
         },
         "xaxis": "x",
         "y": {
          "bdata": "AAAAAAAAQEAAAAAAAABDQAAAAAAAADJAAAAAAAAAMkAAAAAAAAA2QAAAAAAAADtAAAAAAAAAQEAAAAAAAABBQAAAAAAAAEFAAAAAAAAAQUAAAAAAAABBQAAAAAAAACBAAAAAAAAAQUAAAAAAAABBQAAAAAAAAEFA",
          "dtype": "f8"
         },
         "yaxis": "y"
        },
        {
         "customdata": [
          [
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           "True"
          ],
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          ],
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          ],
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          ],
          [
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          [
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Scatter: duration vs total_messages\n",
    "fig = px.scatter(\n",
    "    df, x='duration', y='total_messages', color='classification',\n",
    "    hover_data=['run_id', 'glass_operation', 'triage_successful'],\n",
    "    title='Duration vs Total Messages (por classification)'\n",
    ")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3a4b5c6",
   "metadata": {},
   "source": [
    "## 6. Analisis temporal"
   ]
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if 'time' in df.columns and df['time'].notna().any():\n",
    "    daily = df.set_index('time').resample('D').size().reset_index(name='runs')\n",
    "    fig = px.bar(daily, x='time', y='runs', title='Runs por dia')\n",
    "    fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b4c5d6e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "hour=%{x}<br>runs=%{y}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#636efa",
          "pattern": {
           "shape": ""
          }
         },
         "name": "",
         "orientation": "v",
         "showlegend": false,
         "textposition": "auto",
         "type": "bar",
         "x": {
          "bdata": "CAAAAAkAAAAKAAAACwAAAAwAAAANAAAADgAAAA8AAAAQAAAAEQAAABIAAAATAAAAFAAAABUAAAA=",
          "dtype": "i4"
         },
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if 'time' in df.columns and df['time'].notna().any():\n",
    "    df['hour'] = df['time'].dt.hour\n",
    "    hourly = df['hour'].value_counts().sort_index().reset_index()\n",
    "    hourly.columns = ['hour', 'runs']\n",
    "    fig = px.bar(hourly, x='hour', y='runs', title='Runs por hora del dia')\n",
    "    fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "c4d5e6f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "environment=development<br>date=%{x}<br>runs=%{y}<extra></extra>",
         "legendgroup": "development",
         "marker": {
          "color": "#636efa",
          "pattern": {
           "shape": ""
          }
         },
         "name": "development",
         "orientation": "v",
         "showlegend": true,
         "textposition": "auto",
         "type": "bar",
         "x": [
          "2026-04-07"
         ],
         "xaxis": "x",
         "y": {
          "bdata": "AQ==",
          "dtype": "i1"
         },
         "yaxis": "y"
        },
        {
         "hovertemplate": "environment=staging<br>date=%{x}<br>runs=%{y}<extra></extra>",
         "legendgroup": "staging",
         "marker": {
          "color": "#EF553B",
          "pattern": {
           "shape": ""
          }
         },
         "name": "staging",
         "orientation": "v",
         "showlegend": true,
         "textposition": "auto",
         "type": "bar",
         "x": [
          "2026-04-07",
          "2026-04-08",
          "2026-04-09",
          "2026-04-10",
          "2026-04-13",
          "2026-04-14",
          "2026-04-15",
          "2026-04-16",
          "2026-04-17"
         ],
         "xaxis": "x",
         "y": {
          "bdata": "AQQQAgQRCQgD",
          "dtype": "i1"
         },
         "yaxis": "y"
        },
        {
         "hovertemplate": "environment=production<br>date=%{x}<br>runs=%{y}<extra></extra>",
         "legendgroup": "production",
         "marker": {
          "color": "#00cc96",
          "pattern": {
           "shape": ""
          }
         },
         "name": "production",
         "orientation": "v",
         "showlegend": true,
         "textposition": "auto",
         "type": "bar",
         "x": [
          "2026-04-17"
         ],
         "xaxis": "x",
         "y": {
          "bdata": "CA==",
          "dtype": "i1"
         },
         "yaxis": "y"
        }
       ],
       "layout": {
        "barmode": "stack",
        "legend": {
         "title": {
          "text": "environment"
         },
         "tracegroupgap": 0
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if 'time' in df.columns and df['time'].notna().any():\n",
    "    env_daily = df.groupby([df['time'].dt.date, 'environment']).size().reset_index(name='runs')\n",
    "    env_daily.columns = ['date', 'environment', 'runs']\n",
    "    fig = px.bar(env_daily, x='date', y='runs', color='environment',\n",
    "                 title='Runs por dia: production vs staging', barmode='stack')\n",
    "    fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4e5f6a7",
   "metadata": {},
   "source": [
    "## 7. Errores y redirecciones"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "e4f5a6b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "bingroup": "x",
         "hovertemplate": "total_errors=%{x}<br>count=%{y}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#636efa",
          "pattern": {
           "shape": ""
          }
         },
         "name": "",
         "nbinsx": 15,
         "orientation": "v",
         "showlegend": false,
         "type": "histogram",
         "x": {
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          "dtype": "f8"
         },
         "xaxis": "x",
         "yaxis": "y"
        }
       ],
       "layout": {
        "barmode": "relative",
        "legend": {
         "tracegroupgap": 0
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
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             "ticks": ""
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            "colorscale": [
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             ],
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             ],
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             [
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             ],
             [
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            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
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             ],
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             ],
             [
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             ],
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             ],
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             ],
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             ],
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             ],
             [
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            ],
            "type": "heatmap"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
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             ],
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            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
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             ],
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             ],
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             ],
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             ],
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            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
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          },
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           "x": 0.05
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     "text": [
      "Runs con errores: 0 / 73\n",
      "Media errores: nan\n"
     ]
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   "source": [
    "if 'total_errors' in df.columns:\n",
    "    fig = px.histogram(df, x='total_errors', title='Distribucion de total_errors', nbins=15)\n",
    "    fig.show()\n",
    "    print(f\"Runs con errores: {(df['total_errors'] > 0).sum()} / {len(df)}\")\n",
    "    print(f\"Media errores: {df['total_errors'].mean():.2f}\")"
   ]
  },
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   "execution_count": 17,
   "id": "f4a5b6c7",
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for col in ['redirect_reason', 'redirect_error']:\n",
    "    if col in df.columns:\n",
    "        non_null = df[df[col].notna() & (df[col] != '')]\n",
    "        if len(non_null) > 0:\n",
    "            vc = non_null[col].value_counts().reset_index()\n",
    "            fig = px.bar(vc, x=col, y='count', title=f'Distribucion: {col}', color=col)\n",
    "            fig.update_layout(xaxis_tickangle=-45, showlegend=False)\n",
    "            fig.show()\n",
    "        else:\n",
    "            print(f\"{col}: all null/empty\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a5b6c7d8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "policy_error distribution:\n",
      "  policy_error  count\n",
      "0        False     43\n",
      "1                  23\n",
      "2         True      6\n",
      "3         null      1\n"
     ]
    },
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "policy_error=%{x}<br>count=%{y}<extra></extra>",
         "legendgroup": "False",
         "marker": {
          "color": "#636efa",
          "pattern": {
           "shape": ""
          }
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# policy_error analysis\n",
    "if 'policy_error' in df.columns:\n",
    "    pe = df['policy_error'].value_counts().reset_index()\n",
    "    print(\"policy_error distribution:\")\n",
    "    print(pe)\n",
    "    if len(pe) > 1:\n",
    "        fig = px.bar(pe, x='policy_error', y='count', title='policy_error', color='policy_error')\n",
    "        fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b5c6d7e8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classification x triage_successful (production):\n"
     ]
    }
   ],
   "source": [
    "# Classification vs triage_successful crosstab (production only)\n",
    "prod = df[df['environment'] == 'production']\n",
    "if len(prod) > 0 and 'triage_successful' in prod.columns:\n",
    "    ct = pd.crosstab(prod['classification'], prod['triage_successful'], margins=True)\n",
    "    print(\"Classification x triage_successful (production):\")\n",
    "    ct"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5d6e7f8",
   "metadata": {},
   "source": [
    "## 8. Centros"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d5e6f7a8",
   "metadata": {},
   "outputs": [
    {
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       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
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         "showlegend": false,
         "textposition": "auto",
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         "x": [
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          "dtype": "i1"
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         "yaxis": "y"
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        "barmode": "relative",
        "legend": {
         "tracegroupgap": 0
        },
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            "error_y": {
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if 'center_nav_id' in df.columns:\n",
    "    centers = df['center_nav_id'].value_counts().reset_index()\n",
    "    centers.columns = ['center_nav_id', 'runs']\n",
    "    fig = px.bar(centers.head(20), x='center_nav_id', y='runs',\n",
    "                 title='Top 20 centros por numero de runs')\n",
    "    fig.update_layout(xaxis_tickangle=-45)\n",
    "    fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "e5f6a7b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Metricas por centro (production)\n",
    "if 'center_nav_id' in prod.columns and len(prod) > 0:\n",
    "    center_stats = prod.groupby('center_nav_id').agg(\n",
    "        runs=('id', 'count'),\n",
    "        avg_duration=('duration', 'mean'),\n",
    "        avg_messages=('total_messages', 'mean'),\n",
    "        triage_ok_rate=('triage_successful', lambda x: (x == True).sum() / len(x) if len(x) > 0 else np.nan)\n",
    "    ).sort_values('runs', ascending=False).round(2)\n",
    "    center_stats"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5a6b7c8",
   "metadata": {},
   "source": [
    "## 9. Resumen\n",
    "\n",
    "### Hallazgos clave\n",
    "\n",
    "- **Volumen**: 72 filas en run_events. Revisar split production/staging.\n",
    "- **Clasificaciones**: Verificar la distribucion de error_tecnico, abandono, redireccion_otro y otras categorias.\n",
    "- **Metricas de calidad**: Analizar tasa de triage exitoso, workflow_ok, y proporcion de garbage calls.\n",
    "- **Duracion y mensajes**: Identificar outliers y correlacion entre duracion y numero de mensajes.\n",
    "- **Errores**: Cuantificar total_errors, redirect_reason y policy_error para priorizar mejoras.\n",
    "- **Centros**: Identificar centros con mas volumen y peores metricas.\n",
    "\n",
    "**Proximos pasos**:\n",
    "1. Filtrar solo production y repetir analisis de metricas\n",
    "2. Analizar textos (summary, reasoning) con NLP basico\n",
    "3. Correlacionar classification con metricas numericas\n",
    "4. Seguimiento temporal si hay mas datos"
   ]
  }
 ],
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   "language": "python",
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