3.1 Graficas generales area tecnica.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "17da4045-daf2-4cda-bac9-5c6d282c519f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#import streamlit as st\n",
    "#import pandas as pd\n",
    "#import altair as alt\n",
    "#import plotly.express as px"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "93bb3d07",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import re\n",
    "from datetime import datetime\n",
    "import matplotlib.dates as mdates\n",
    "import matplotlib.patches as mpatches\n",
    "import matplotlib.lines as mlines\n",
    "import matplotlib.ticker as mtick\n",
    "import os\n",
    "import platform\n",
    "import glob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "817c9d80",
   "metadata": {},
   "outputs": [],
   "source": [
    "if platform.system()=='Windows': \n",
    "    #Directorios Windows\n",
    "    os.chdir(\n",
    "        r\"G:\\.shortcut-targets-by-id\\120bUa35y3FJzvumWahpOx1qS9I6TIrhb\\GIGANAV\")\n",
    "\n",
    "if platform.system()=='Darwin':\n",
    "    os.chdir(\n",
    "        '/Users/juliandiazparra/Library/CloudStorage/GoogleDrive-julian.adiaz@hotmail.com/Mi unidad/Negocios/Familiar/GIGANAV')\n",
    "\n",
    "folder=os.getcwd()\n",
    "data=os.path.join(folder,'Datos')\n",
    "provisiones=os.path.join(data,'Provisiones')\n",
    "facturas=os.path.join(data,'Facturas')\n",
    "tickets=os.path.join(data,'Tickets')\n",
    "usuarios=os.path.join(data,'Usuarios')\n",
    "egresos=os.path.join(data,'Egresos')\n",
    "transacciones=os.path.join(data,'Transacciones')\n",
    "analisis=os.path.join(folder,'Operacion/Analisis')\n",
    "resultados=os.path.join(analisis,'Resultados')\n",
    "bases=os.path.join(analisis,'Bases_analisis')\n",
    "outputs=os.path.join(analisis,'Outputs')\n",
    "plots=os.path.join(outputs,'Gráficos')\n",
    "usuarios_clean=os.path.join(bases,'Usuarios')\n",
    "transac_clean=os.path.join(bases,'Transacciones')\n",
    "tickets_clean=os.path.join(bases,'Tickets')\n",
    "facturas_clean=os.path.join(bases,'Facturas')\n",
    "egresos_clean=os.path.join(bases,'Egresos')\n",
    "working=os.path.join(bases,'Bases_trabajo')\n",
    "codigo=os.path.join(folder,'Operacion/Analisis/Código')\n",
    "conciliaciones=os.path.join(folder,'Operacion/Operativo/Administrativo/Conciliaciones')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "325a4aad",
   "metadata": {},
   "source": [
    "## Importación base de trabajo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "234c0dfc-d50a-4de0-beff-001a9f0022be",
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   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 34 entries, 0 to 33\n",
      "Data columns (total 62 columns):\n",
      " #   Column                                    Non-Null Count  Dtype  \n",
      "---  ------                                    --------------  -----  \n",
      " 0   Unnamed: 0                                34 non-null     int64  \n",
      " 1   mes_crd                                   34 non-null     object \n",
      " 2   tiempo_respuesta_Instalacion_fibra        33 non-null     float64\n",
      " 3   tiempo_respuesta_Instalacion_radio        34 non-null     float64\n",
      " 4   tiempo_respuesta_Retiro_fibra             34 non-null     float64\n",
      " 5   tiempo_respuesta_Retiro_radio             34 non-null     float64\n",
      " 6   tiempo_respuesta_Soporte_fibra            34 non-null     float64\n",
      " 7   tiempo_respuesta_Soporte_radio            34 non-null     float64\n",
      " 8   tiempo_respuesta_Traslado_fibra           34 non-null     float64\n",
      " 9   tiempo_respuesta_Traslado_radio           34 non-null     float64\n",
      " 10  num_tickets_Instalacion_fibra             33 non-null     float64\n",
      " 11  num_tickets_Instalacion_radio             34 non-null     float64\n",
      " 12  num_tickets_Retiro_fibra                  34 non-null     float64\n",
      " 13  num_tickets_Retiro_radio                  34 non-null     float64\n",
      " 14  num_tickets_Soporte_fibra                 34 non-null     float64\n",
      " 15  num_tickets_Soporte_radio                 34 non-null     float64\n",
      " 16  num_tickets_Traslado_fibra                34 non-null     float64\n",
      " 17  num_tickets_Traslado_radio                34 non-null     float64\n",
      " 18  encuestas_Instalacion_fibra               33 non-null     float64\n",
      " 19  encuestas_Instalacion_radio               34 non-null     float64\n",
      " 20  encuestas_Retiro_fibra                    34 non-null     float64\n",
      " 21  encuestas_Retiro_radio                    34 non-null     float64\n",
      " 22  encuestas_Soporte_fibra                   34 non-null     float64\n",
      " 23  encuestas_Soporte_radio                   34 non-null     float64\n",
      " 24  encuestas_Traslado_fibra                  34 non-null     float64\n",
      " 25  encuestas_Traslado_radio                  34 non-null     float64\n",
      " 26  num_tickets_Instalacion_internet          34 non-null     float64\n",
      " 27  num_tickets_Retiro_internet               34 non-null     float64\n",
      " 28  num_tickets_Soporte_internet              34 non-null     float64\n",
      " 29  num_tickets_Traslado_internet             34 non-null     float64\n",
      " 30  num_tickets_Instalacion_paquete           33 non-null     float64\n",
      " 31  num_tickets_Retiro_paquete                34 non-null     float64\n",
      " 32  num_tickets_Soporte_paquete               34 non-null     float64\n",
      " 33  num_tickets_Traslado_paquete              34 non-null     float64\n",
      " 34  tiempo_respuesta_Instalacion_internet     34 non-null     float64\n",
      " 35  tiempo_respuesta_Retiro_internet          34 non-null     float64\n",
      " 36  tiempo_respuesta_Soporte_internet         34 non-null     float64\n",
      " 37  tiempo_respuesta_Traslado_internet        34 non-null     float64\n",
      " 38  tiempo_respuesta_Instalacion_paquete      33 non-null     float64\n",
      " 39  tiempo_respuesta_Retiro_paquete           34 non-null     float64\n",
      " 40  tiempo_respuesta_Soporte_paquete          34 non-null     float64\n",
      " 41  tiempo_respuesta_Traslado_paquete         34 non-null     float64\n",
      " 42  num_tickets_Instalacion_corporativo       28 non-null     float64\n",
      " 43  num_tickets_Retiro_corporativo            23 non-null     float64\n",
      " 44  num_tickets_Soporte_corporativo           34 non-null     float64\n",
      " 45  num_tickets_Instalacion_residencial       34 non-null     float64\n",
      " 46  num_tickets_Retiro_residencial            34 non-null     float64\n",
      " 47  num_tickets_Soporte_residencial           34 non-null     float64\n",
      " 48  num_tickets_Traslado_residencial          34 non-null     float64\n",
      " 49  num_tickets_Traslado_corporativo          18 non-null     float64\n",
      " 50  tiempo_respuesta_Instalacion_corporativo  28 non-null     float64\n",
      " 51  tiempo_respuesta_Retiro_corporativo       23 non-null     float64\n",
      " 52  tiempo_respuesta_Soporte_corporativo      34 non-null     float64\n",
      " 53  tiempo_respuesta_Instalacion_residencial  34 non-null     float64\n",
      " 54  tiempo_respuesta_Retiro_residencial       34 non-null     float64\n",
      " 55  tiempo_respuesta_Soporte_residencial      34 non-null     float64\n",
      " 56  tiempo_respuesta_Traslado_residencial     34 non-null     float64\n",
      " 57  tiempo_respuesta_Traslado_corporativo     18 non-null     float64\n",
      " 58  per_enc_Instalacion                       34 non-null     float64\n",
      " 59  per_enc_Retiro                            34 non-null     float64\n",
      " 60  per_enc_Soporte                           34 non-null     float64\n",
      " 61  per_enc_Traslado                          34 non-null     float64\n",
      "dtypes: float64(60), int64(1), object(1)\n",
      "memory usage: 16.6+ KB\n"
     ]
    }
   ],
   "source": [
    "list_of_files = glob.glob(os.path.join(outputs,'Resumen_mes_categorias*.csv'))\n",
    "latest_file = max(list_of_files, key=os.path.getctime)\n",
    "working_summary=pd.read_csv(latest_file, low_memory=False)\n",
    "working_summary.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7e78a33e-946a-41b1-8570-4a04bada8996",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 16080 entries, 0 to 16079\n",
      "Data columns (total 70 columns):\n",
      " #   Column                 Non-Null Count  Dtype  \n",
      "---  ------                 --------------  -----  \n",
      " 0   Unnamed: 0             16080 non-null  int64  \n",
      " 1   id_ticket              16080 non-null  int64  \n",
      " 2   departamento           16080 non-null  object \n",
      " 3   nombre                 16080 non-null  object \n",
      " 4   asunto                 16080 non-null  object \n",
      " 5   tecnico                16080 non-null  object \n",
      " 6   zona                   16040 non-null  object \n",
      " 7   abierto_por            16080 non-null  object \n",
      " 8   instal                 16080 non-null  int64  \n",
      " 9   soporte                16080 non-null  int64  \n",
      " 10  traslado               16080 non-null  int64  \n",
      " 11  retiro                 16080 non-null  int64  \n",
      " 12  mantenimiento          16080 non-null  int64  \n",
      " 13  facturacion            16080 non-null  int64  \n",
      " 14  cambio_plan            16080 non-null  int64  \n",
      " 15  suspendido             16080 non-null  int64  \n",
      " 16  tv                     16080 non-null  int64  \n",
      " 17  llamada                16080 non-null  int64  \n",
      " 18  categoria              15063 non-null  object \n",
      " 19  fecha_abierto          16080 non-null  object \n",
      " 20  fecha_cerrado          16080 non-null  object \n",
      " 21  mes_crd                16080 non-null  object \n",
      " 22  first_day              16080 non-null  object \n",
      " 23  tiempo_resolucion      16080 non-null  object \n",
      " 24  cat_tecnico            15063 non-null  float64\n",
      " 25  comercial              15063 non-null  float64\n",
      " 26  Id                     16080 non-null  int64  \n",
      " 27  estado                 16080 non-null  object \n",
      " 28  radio                  16080 non-null  int64  \n",
      " 29  Tipo estrato           16080 non-null  int64  \n",
      " 30  megas                  16080 non-null  int64  \n",
      " 31  TV                     16080 non-null  int64  \n",
      " 32  Telefono               12203 non-null  object \n",
      " 33  Movil                  15989 non-null  object \n",
      " 34  Correo                 12405 non-null  object \n",
      " 35  Zona                   16040 non-null  object \n",
      " 36  tarifa                 16080 non-null  float64\n",
      " 37  Deuda actual           4901 non-null   object \n",
      " 38  ID de registro         16022 non-null  float64\n",
      " 39  meses_suspendido       1548 non-null   float64\n",
      " 40  deuda                  1548 non-null   float64\n",
      " 41  tecnologia             16080 non-null  object \n",
      " 42  tipo_servicio          16080 non-null  object \n",
      " 43  tipo_usuario           16080 non-null  object \n",
      " 44  _merge                 16080 non-null  object \n",
      " 45  tecnico_1              1915 non-null   object \n",
      " 46  tecnico_2              341 non-null    object \n",
      " 47  conector_mecanico      1915 non-null   float64\n",
      " 48  fibra_drop             1915 non-null   float64\n",
      " 49  conector_coaxial       1915 non-null   float64\n",
      " 50  tensores               1915 non-null   float64\n",
      " 51  cable_coaxial          1915 non-null   float64\n",
      " 52  cable_utp              1915 non-null   float64\n",
      " 53  rjs                    1915 non-null   float64\n",
      " 54  deco_tdt               1915 non-null   float64\n",
      " 55  splitter_2             1915 non-null   float64\n",
      " 56  splitter_3             1915 non-null   float64\n",
      " 57  splitter_4             1915 non-null   float64\n",
      " 58  mininodos              1915 non-null   float64\n",
      " 59  otros                  1915 non-null   float64\n",
      " 60  merge2                 16080 non-null  object \n",
      " 61  fecha_enc_sat          104 non-null    object \n",
      " 62  calificacion_personal  104 non-null    float64\n",
      " 63  resolvio               104 non-null    float64\n",
      " 64  promoter               104 non-null    float64\n",
      " 65  calificacion_servicio  75 non-null     float64\n",
      " 66  merge_sat              16080 non-null  object \n",
      " 67  encuesta               16080 non-null  bool   \n",
      " 68  residencial            16080 non-null  int64  \n",
      " 69  tiempo_resol           16080 non-null  float64\n",
      "dtypes: bool(1), float64(24), int64(18), object(27)\n",
      "memory usage: 8.5+ MB\n"
     ]
    }
   ],
   "source": [
    "list_of_files = glob.glob(os.path.join(outputs,'Base_tickets*.csv'))\n",
    "latest_file = max(list_of_files, key=os.path.getctime)\n",
    "working_data=pd.read_csv(latest_file, low_memory=False)\n",
    "working_data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2047dc7-597a-47b8-a1c0-facf9673e50c",
   "metadata": {},
   "source": [
    "## Analisis fibra vs radio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "36e319b2-230f-45c5-8c13-6af20bc3dca3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax= plt.subplots()\n",
    "\n",
    "working_summary.iloc[-5:].plot(x='mes_crd', y='tiempo_respuesta_Soporte_fibra', \n",
    "                               kind='line', ax=ax, \n",
    "                               color='magenta', grid=True)\n",
    "working_summary.iloc[-5:].plot(x='mes_crd', y='tiempo_respuesta_Instalacion_fibra', \n",
    "                             kind='line', ax=ax, \n",
    "                               color='blue', grid=True)\n",
    "working_summary.iloc[-5:].plot(x='mes_crd', y='tiempo_respuesta_Traslado_fibra', \n",
    "                             kind='line', ax=ax, \n",
    "                               color='grey', grid=True)\n",
    "working_summary.iloc[-5:].plot(x='mes_crd', y='tiempo_respuesta_Retiro_fibra', \n",
    "                             kind='line', ax=ax, \n",
    "                               color='purple', grid=True)\n",
    "\n",
    "\n",
    "plt.setp(ax, ylabel='Días', xlabel='', title='Promedio de tiempo de respuesta: fibra')\n",
    "ax.legend(['Soporte', 'Instalacion', 'Traslado','Retiro'])\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "52415caa",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "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>mes_crd</th>\n",
       "      <th>fibra</th>\n",
       "      <th>radio</th>\n",
       "      <th>porc_fibra</th>\n",
       "      <th>porc_radio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2024-06</td>\n",
       "      <td>249</td>\n",
       "      <td>176</td>\n",
       "      <td>0.585882</td>\n",
       "      <td>0.414118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2024-07</td>\n",
       "      <td>282</td>\n",
       "      <td>194</td>\n",
       "      <td>0.592437</td>\n",
       "      <td>0.407563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>212</td>\n",
       "      <td>172</td>\n",
       "      <td>0.552083</td>\n",
       "      <td>0.447917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2024-09</td>\n",
       "      <td>231</td>\n",
       "      <td>345</td>\n",
       "      <td>0.401042</td>\n",
       "      <td>0.598958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2024-10</td>\n",
       "      <td>37</td>\n",
       "      <td>75</td>\n",
       "      <td>0.330357</td>\n",
       "      <td>0.669643</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    mes_crd  fibra  radio  porc_fibra  porc_radio\n",
       "29  2024-06    249    176    0.585882    0.414118\n",
       "30  2024-07    282    194    0.592437    0.407563\n",
       "31  2024-08    212    172    0.552083    0.447917\n",
       "32  2024-09    231    345    0.401042    0.598958\n",
       "33  2024-10     37     75    0.330357    0.669643"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summary_tix_fibra_radio=working_data.loc[\n",
    "    working_data['cat_tecnico']==1].groupby(\n",
    "    ['mes_crd', 'tecnologia']).agg(\n",
    "    num_tix=('id_ticket','nunique')).reset_index().pivot(\n",
    "    columns='tecnologia',\n",
    "    values='num_tix', \n",
    "    index='mes_crd').reset_index()\n",
    "summary_tix_fibra_radio.columns=['mes_crd','fibra','radio']\n",
    "summary_tix_fibra_radio.loc[\n",
    "    :,'porc_fibra'\n",
    "]=summary_tix_fibra_radio[\n",
    "    'fibra']/(summary_tix_fibra_radio[\n",
    "    'fibra']+summary_tix_fibra_radio[\n",
    "    'radio'])\n",
    "\n",
    "summary_tix_fibra_radio.loc[\n",
    "    :,'porc_radio'\n",
    "]=summary_tix_fibra_radio[\n",
    "    'radio']/(summary_tix_fibra_radio[\n",
    "    'fibra']+summary_tix_fibra_radio[\n",
    "    'radio'])\n",
    "summary_tix_fibra_radio.tail()\n",
    "#print('Durante el último trimestre, el '+str(\n",
    "#    summary_tix_fibra_radio.iloc[-4:-1][\n",
    "#        'porc_fibra'].mean())+' de tickets fueron de fibra')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9d5bdad7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots()\n",
    "summary_tix_fibra_radio.iloc[-6:-1,:3].plot.bar(\n",
    "    'mes_crd','fibra',\n",
    "    ax=ax, #bottom=base, \n",
    "    color='lightseagreen', \n",
    "    grid=True)\n",
    "summary_tix_fibra_radio.iloc[-6:-1,:3].plot.bar(\n",
    "    'mes_crd','radio',\n",
    "    ax=ax, bottom=summary_tix_fibra_radio.iloc[-6:-1,:3]['fibra'], \n",
    "    color='tomato', \n",
    "    grid=True)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6553a800",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax=plt.subplots()\n",
    "\n",
    "working_summary.iloc[-6:].plot(\n",
    "    x='mes_crd', y='tiempo_respuesta_Soporte_radio', \n",
    "    kind='line', ax=ax, \n",
    "    color='magenta', grid=True, linestyle='--')\n",
    "\n",
    "working_summary.iloc[-6:].plot(\n",
    "    x='mes_crd', y='tiempo_respuesta_Instalacion_radio', \n",
    "                               kind='line', ax=ax, \n",
    "                               color='blue', grid=True, linestyle='--')\n",
    "\n",
    "working_summary.iloc[-6:].plot(\n",
    "    x='mes_crd', y='tiempo_respuesta_Traslado_radio', \n",
    "                               kind='line', ax=ax, \n",
    "                               color='grey', grid=True, linestyle='--')\n",
    "\n",
    "working_summary.iloc[-6:].plot(\n",
    "    x='mes_crd', y='tiempo_respuesta_Retiro_radio', \n",
    "                               kind='line', ax=ax, \n",
    "                               color='purple', grid=True, linestyle='--')\n",
    "\n",
    "plt.setp(ax, ylabel='Días', xlabel='', title='Promedio de tiempo de respuesta: radio')\n",
    "ax.legend(['Soporte', 'Instalacion', 'Traslado','Retiro'])\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  }
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