josemirm/Exploracion_juridicas.ipynb

## Exploracion_juridicas.ipynb
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   "source": [
    "# Análisis de datos de concesión de subvenciones a empresas\n",
    "## Lectura de datos\n",
    "En el caso que se nos presenta, los datos se dividen en dos ficheros, `juridicas_1.csv` y `juridicas_2.csv`.\n",
    "Los datos se pueden analizar de forma conjunta (y sería lo correcto), pero es mucho más liviano hacerlo por separado."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "cb6136e6-57f9-4fc8-8910-6babfa6860d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime as dt\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cf5cb927-06f2-4d58-b2d3-6181f1c3d480",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "17"
      ]
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     "execution_count": 2,
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     "output_type": "execute_result"
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   ],
   "source": [
    "columnas = [\n",
    "    \"id\",\n",
    "\t\"id_convocatoria\",\n",
    "\t\"administracion\",\n",
    "\t\"departamento\",\n",
    "\t\"organo\",\n",
    "\t\"convocatoria\",\n",
    "\t\"url_bases_regul\",\n",
    "\t\"apli_presupuestaria\",\n",
    "\t\"fecha_concesion\",\n",
    "\t\"beneficiario\",\n",
    "\t\"importe\",\n",
    "\t\"instrumento\",\n",
    "\t\"ayuda_equivalente\",\n",
    "\t\"detalles\",\n",
    "\t\"num_convocatoria\",\n",
    "\t\"valor_desconocido\",\n",
    "\t\"id_interna\",\n",
    "]\n",
    "\n",
    "len(columnas)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8def7e72-1c00-41bf-a703-3d52b56a8cbe",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>id_convocatoria</th>\n",
       "      <th>administracion</th>\n",
       "      <th>departamento</th>\n",
       "      <th>organo</th>\n",
       "      <th>convocatoria</th>\n",
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       "      <th>apli_presupuestaria</th>\n",
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       "      <th>valor_desconocido</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id_interna</th>\n",
       "      <th></th>\n",
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      "text/plain": [
       "                  id  id_convocatoria                 administracion  \\\n",
       "id_interna                                                             \n",
       "9427075     38960284           657064     DIPUTACIÓN PROV. DE CUENCA   \n",
       "9425958     38643060           647651  DIPUTACIÓN PROV. DE TARRAGONA   \n",
       "9425959     38643061           647651  DIPUTACIÓN PROV. DE TARRAGONA   \n",
       "9425960     38643062           647651  DIPUTACIÓN PROV. DE TARRAGONA   \n",
       "9425961     38643063           647651  DIPUTACIÓN PROV. DE TARRAGONA   \n",
       "\n",
       "                                  departamento organo  \\\n",
       "id_interna                                              \n",
       "9427075        DIPUTACIÓN PROVINCIAL DE CUENCA    NaN   \n",
       "9425958     DIPUTACIÓN PROVINCIAL DE TARRAGONA    NaN   \n",
       "9425959     DIPUTACIÓN PROVINCIAL DE TARRAGONA    NaN   \n",
       "9425960     DIPUTACIÓN PROVINCIAL DE TARRAGONA    NaN   \n",
       "9425961     DIPUTACIÓN PROVINCIAL DE TARRAGONA    NaN   \n",
       "\n",
       "                                                 convocatoria  \\\n",
       "id_interna                                                      \n",
       "9427075                     CT. CONVOCATORIA CUENCA PARTICIPA   \n",
       "9425958     2019  Subvenciones para la implantación de mej...   \n",
       "9425959     2019  Subvenciones para la implantación de mej...   \n",
       "9425960     2019  Subvenciones para la implantación de mej...   \n",
       "9425961     2019  Subvenciones para la implantación de mej...   \n",
       "\n",
       "                                              url_bases_regul  \\\n",
       "id_interna                                                      \n",
       "9427075     https://www.dipucuenca.es/documents/12423/5606...   \n",
       "9425958     https://www.diputaciodetarragona.cat/ebop/inde...   \n",
       "9425959     https://www.diputaciodetarragona.cat/ebop/inde...   \n",
       "9425960     https://www.diputaciodetarragona.cat/ebop/inde...   \n",
       "9425961     https://www.diputaciodetarragona.cat/ebop/inde...   \n",
       "\n",
       "                                          apli_presupuestaria fecha_concesion  \\\n",
       "id_interna                                                                      \n",
       "9427075                                  2020-305/334/4800012      2019-09-24   \n",
       "9425958     2019-2019-1200-425-76200-01-SUBVENCIONS AJUNTA...      2019-09-24   \n",
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       "9425961     2019-2019-1200-425-76200-01-SUBVENCIONS AJUNTA...      2019-09-24   \n",
       "\n",
       "                                               beneficiario   importe  \\\n",
       "id_interna                                                              \n",
       "9427075     G16276230 ASOC. DESARROLLO INTEGRAL DE ZARZUELA    278.52   \n",
       "9425958               P4309900A NOU DE GAIA LA   AJUNTAMENT  11632.50   \n",
       "9425959                     P4314300G AJUNTAMENT DE PONTILS  11632.50   \n",
       "9425960        P4309700E MORERA DE MONTSANT LA,  AJUNTAMENT  11632.50   \n",
       "9425961                  P4311900G PRAT DE COMTE AJUNTAMENT   9589.33   \n",
       "\n",
       "                                                  instrumento  \\\n",
       "id_interna                                                      \n",
       "9427075     SUBVENCIÓN Y ENTREGA DINERARIA SIN CONTRAPREST...   \n",
       "9425958     SUBVENCIÓN Y ENTREGA DINERARIA SIN CONTRAPREST...   \n",
       "9425959     SUBVENCIÓN Y ENTREGA DINERARIA SIN CONTRAPREST...   \n",
       "9425960     SUBVENCIÓN Y ENTREGA DINERARIA SIN CONTRAPREST...   \n",
       "9425961     SUBVENCIÓN Y ENTREGA DINERARIA SIN CONTRAPREST...   \n",
       "\n",
       "            ayuda_equivalente  detalles num_convocatoria  valor_desconocido  \n",
       "id_interna                                                                   \n",
       "9427075                278.52         0           455504           10435022  \n",
       "9425958              11632.50         0           446091           10435022  \n",
       "9425959              11632.50         0           446091           10435022  \n",
       "9425960              11632.50         0           446091           10435022  \n",
       "9425961               9589.33         0           446091           10435022  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jur1 = pd.read_csv(\n",
    "    \"juridicas_1.csv\",\n",
    "    names=columnas,\n",
    "    usecols=columnas,\n",
    "    index_col=\"id_interna\",\n",
    "    parse_dates=[\"fecha_concesion\"],\n",
    "    date_parser=lambda d: dt.datetime.strptime(d, \"%d/%m/%Y\"),\n",
    ").sort_values(\"fecha_concesion\")\n",
    "jur1.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b0bf30d-3911-4ff2-9960-d85c5c257452",
   "metadata": {},
   "source": [
    "La lectura del segundo fichero se realizará posteriormente. Para hacerlo todo conjuntamente bastaría con quitar los comentarios del código de los siguientes dos bloques."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "47697986-7822-44ee-85b9-63efab3c3bfe",
   "metadata": {},
   "outputs": [],
   "source": [
    "#jur2 = pd.read_csv(\n",
    "#    \"juridicas_2.csv\",\n",
    "#    names=columnas,\n",
    "#    usecols=columnas,\n",
    "#    index_col=\"id_interna\",\n",
    "#    parse_dates=[\"fecha_concesion\"],\n",
    "#    date_parser=lambda d: dt.datetime.strptime(d, \"%d/%m/%Y\"),\n",
    "#).sort_values(\"fecha_concesion\")\n",
    "#jur2.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a6834467-45d4-4389-8b08-0a7d1d50ea07",
   "metadata": {},
   "outputs": [],
   "source": [
    "#jur = pd.concat([jur1, jur2])\n",
    "#len(jur)\n",
    "#jur.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "421830cd-f9ec-47d4-87d7-aad3f5719244",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f606313-0db9-43e6-8f30-bf31a5f40f1c",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Búsqueda de enlaces inexistentes\n",
    "Se buscan todos los enlaces que estén vacíos, pendientes, o sean erróneos. **TODO: Habría que cambiar el REGEX para que aceptara tanto http como https**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2740b394-2cff-40f3-aa1b-33715c542766",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Información no disponible en BDNS2007                                                                                                                       2118\n",
       "No disponible                                                                                                                                               1485\n",
       "pendiente de publicar                                                                                                                                        646\n",
       "No tiene                                                                                                                                                     635\n",
       "no se dispone                                                                                                                                                561\n",
       "pendiente de publicación                                                                                                                                     527\n",
       "file:///C:/Users/D25387~1/AppData/Local/Temp/lu80284zi5u.tmp/lu80284zi6a.tmp/ORDRE%20AJUDES%20ACTIVITATS%20DE%20SUPORT%20AJUNTAMENTS-3_1_tr_cas_DOGV.htm     485\n",
       "bop.dival.es                                                                                                                                                 484\n",
       "boe.es/buscar/act.php?id=BOE-A-1991-14463 y =BOE-A-1994-15794                                                                                                395\n",
       "Name: url_bases_regul, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "enlaces_invalidos = ~jur1[\"url_bases_regul\"].str.lower().str.contains(\"^http|www\", na=False), \"url_bases_regul\"\n",
    "jur1.loc[enlaces_invalidos].value_counts().nlargest(9)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c762039-96f1-459e-9e86-b4b34e6d6beb",
   "metadata": {},
   "source": [
    "Se sustituyen dichos enlaces por None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "56c29f3e-12aa-4108-b126-b7b782eea41c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Series([], Name: url_bases_regul, dtype: int64)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jur1.loc[enlaces_invalidos] = None\n",
    "jur1.loc[enlaces_invalidos].value_counts().nlargest(9)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "63ab7e35-3331-4c1d-b328-d5ee9e8c378c",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6a34385-8318-4776-a7ad-2f9d937c9d47",
   "metadata": {},
   "source": [
    "## Análisis de datos faltantes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "00d43d0d-8267-43f6-8754-22384d70534e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import missingno as msno\n",
    "\n",
    "msno.matrix(jur1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ce41bb7-392b-454d-8d98-6416ce8b31ae",
   "metadata": {},
   "source": [
    "Que haya huecos en la columna de órganos no es raro, ya que puede ser que quien emita dicha subvención no forme parte de ningún órgano. En el caso de la aplicación presupuestaria hay que analizar si es que no se ha emitido ninguna subvención y por lo parte no se ha asignado ningún presupuesto o directamente es un dato faltante."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b4b79c8f-6d13-4a25-aa98-483acbe6afaa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total de aplicaciones presupuestarias faltantes: 670014 de 1995835 (un 33.57%)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "presu_faltantes = jur1[\"apli_presupuestaria\"].isna()\n",
    "print(\"Total de aplicaciones presupuestarias faltantes: \" + str(presu_faltantes.value_counts()[1]) + \" de \" + str(len(jur1)) + \" (un \" + str(round(100*presu_faltantes.value_counts()[1]/len(jur1), 2)) + \"%)\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6970e9d6-463e-46b8-b3f6-fa5eb2b128a8",
   "metadata": {},
   "source": [
    "De entre la columnas de órganos que no están vacías encontramos estos valores al principio."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "dc345dff-2a0f-4152-9c58-814f8d8c72f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>administracion</th>\n",
       "      <th>departamento</th>\n",
       "      <th>organo</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id_interna</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9426015</th>\n",
       "      <td>ESTADO</td>\n",
       "      <td>MINISTERIO DE TRABAJO Y ECONOMÍA SOCIAL</td>\n",
       "      <td>DIRECCION PROVINCIAL DEL SEPE DE ALMERIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9426016</th>\n",
       "      <td>ESTADO</td>\n",
       "      <td>MINISTERIO DE TRABAJO Y ECONOMÍA SOCIAL</td>\n",
       "      <td>DIRECCION PROVINCIAL DEL SEPE DE ALMERIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9426017</th>\n",
       "      <td>ESTADO</td>\n",
       "      <td>MINISTERIO DE TRABAJO Y ECONOMÍA SOCIAL</td>\n",
       "      <td>DIRECCION PROVINCIAL DEL SEPE DE ALMERIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9426018</th>\n",
       "      <td>ESTADO</td>\n",
       "      <td>MINISTERIO DE TRABAJO Y ECONOMÍA SOCIAL</td>\n",
       "      <td>DIRECCION PROVINCIAL DEL SEPE DE CACERES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9426019</th>\n",
       "      <td>ESTADO</td>\n",
       "      <td>MINISTERIO DE TRABAJO Y ECONOMÍA SOCIAL</td>\n",
       "      <td>DIRECCION PROVINCIAL DEL SEPE DE CACERES</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           administracion                             departamento  \\\n",
       "id_interna                                                           \n",
       "9426015            ESTADO  MINISTERIO DE TRABAJO Y ECONOMÍA SOCIAL   \n",
       "9426016            ESTADO  MINISTERIO DE TRABAJO Y ECONOMÍA SOCIAL   \n",
       "9426017            ESTADO  MINISTERIO DE TRABAJO Y ECONOMÍA SOCIAL   \n",
       "9426018            ESTADO  MINISTERIO DE TRABAJO Y ECONOMÍA SOCIAL   \n",
       "9426019            ESTADO  MINISTERIO DE TRABAJO Y ECONOMÍA SOCIAL   \n",
       "\n",
       "                                              organo  \n",
       "id_interna                                            \n",
       "9426015     DIRECCION PROVINCIAL DEL SEPE DE ALMERIA  \n",
       "9426016     DIRECCION PROVINCIAL DEL SEPE DE ALMERIA  \n",
       "9426017     DIRECCION PROVINCIAL DEL SEPE DE ALMERIA  \n",
       "9426018     DIRECCION PROVINCIAL DEL SEPE DE CACERES  \n",
       "9426019     DIRECCION PROVINCIAL DEL SEPE DE CACERES  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jur1.loc[~jur1[\"organo\"].isna(), [\"administracion\", \"departamento\", \"organo\"]].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5d7f13e-7f94-4473-a11b-e4b5327e71c7",
   "metadata": {},
   "source": [
    "Y de entre las columnas que tienen aplicaciones presupuestarias podríamos encontrar las siguientes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ed8bf444-0f97-44cd-80ac-e624f9081a5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>administracion</th>\n",
       "      <th>departamento</th>\n",
       "      <th>organo</th>\n",
       "      <th>apli_presupuestaria</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id_interna</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9427075</th>\n",
       "      <td>DIPUTACIÓN PROV. DE CUENCA</td>\n",
       "      <td>DIPUTACIÓN PROVINCIAL DE CUENCA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-305/334/4800012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9425958</th>\n",
       "      <td>DIPUTACIÓN PROV. DE TARRAGONA</td>\n",
       "      <td>DIPUTACIÓN PROVINCIAL DE TARRAGONA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-2019-1200-425-76200-01-SUBVENCIONS AJUNTA...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9425959</th>\n",
       "      <td>DIPUTACIÓN PROV. DE TARRAGONA</td>\n",
       "      <td>DIPUTACIÓN PROVINCIAL DE TARRAGONA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-2019-1200-425-76200-01-SUBVENCIONS AJUNTA...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9425960</th>\n",
       "      <td>DIPUTACIÓN PROV. DE TARRAGONA</td>\n",
       "      <td>DIPUTACIÓN PROVINCIAL DE TARRAGONA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-2019-1200-425-76200-01-SUBVENCIONS AJUNTA...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9425961</th>\n",
       "      <td>DIPUTACIÓN PROV. DE TARRAGONA</td>\n",
       "      <td>DIPUTACIÓN PROVINCIAL DE TARRAGONA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-2019-1200-425-76200-01-SUBVENCIONS AJUNTA...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           administracion                        departamento  \\\n",
       "id_interna                                                                      \n",
       "9427075        DIPUTACIÓN PROV. DE CUENCA     DIPUTACIÓN PROVINCIAL DE CUENCA   \n",
       "9425958     DIPUTACIÓN PROV. DE TARRAGONA  DIPUTACIÓN PROVINCIAL DE TARRAGONA   \n",
       "9425959     DIPUTACIÓN PROV. DE TARRAGONA  DIPUTACIÓN PROVINCIAL DE TARRAGONA   \n",
       "9425960     DIPUTACIÓN PROV. DE TARRAGONA  DIPUTACIÓN PROVINCIAL DE TARRAGONA   \n",
       "9425961     DIPUTACIÓN PROV. DE TARRAGONA  DIPUTACIÓN PROVINCIAL DE TARRAGONA   \n",
       "\n",
       "           organo                                apli_presupuestaria  \n",
       "id_interna                                                            \n",
       "9427075       NaN                               2020-305/334/4800012  \n",
       "9425958       NaN  2019-2019-1200-425-76200-01-SUBVENCIONS AJUNTA...  \n",
       "9425959       NaN  2019-2019-1200-425-76200-01-SUBVENCIONS AJUNTA...  \n",
       "9425960       NaN  2019-2019-1200-425-76200-01-SUBVENCIONS AJUNTA...  \n",
       "9425961       NaN  2019-2019-1200-425-76200-01-SUBVENCIONS AJUNTA...  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jur1.loc[~jur1[\"apli_presupuestaria\"].isna(), [\"administracion\", \"departamento\", \"organo\", \"apli_presupuestaria\"]].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05f5a9a2-cec9-473f-bcb5-543020c78aab",
   "metadata": {},
   "source": [
    "Ahora podríamos hacer exactamente lo mismo con el otro fichero, con `juridicas_2.csv`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0c79a759-662e-4d11-860e-f81088d13991",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\josemi\\AppData\\Local\\Temp\\ipykernel_5964\\3088875268.py:1: DtypeWarning: Columns (14) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  jur2 = pd.read_csv(\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>id_convocatoria</th>\n",
       "      <th>administracion</th>\n",
       "      <th>departamento</th>\n",
       "      <th>organo</th>\n",
       "      <th>convocatoria</th>\n",
       "      <th>url_bases_regul</th>\n",
       "      <th>apli_presupuestaria</th>\n",
       "      <th>fecha_concesion</th>\n",
       "      <th>beneficiario</th>\n",
       "      <th>importe</th>\n",
       "      <th>instrumento</th>\n",
       "      <th>ayuda_equivalente</th>\n",
       "      <th>detalles</th>\n",
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       "      <th>valor_desconocido</th>\n",
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       "    <tr>\n",
       "      <th>id_interna</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th>10434939</th>\n",
       "      <td>33782917</td>\n",
       "      <td>588690</td>\n",
       "      <td>DIPUTACIÓN PROV. DE TOLEDO</td>\n",
       "      <td>DIPUTACIÓN PROVINCIAL DE TOLEDO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Convenio Marco. Programa \"Tu Salud en Marcha\"....</td>\n",
       "      <td>http://www.diputoledo.es/global/8/1420/5259</td>\n",
       "      <td>2018-2018-2310-46212-S</td>\n",
       "      <td>2018-01-01</td>\n",
       "      <td>P4515000J AYTO DE ROMERAL, EL</td>\n",
       "      <td>728.0</td>\n",
       "      <td>SUBVENCIÓN Y ENTREGA DINERARIA SIN CONTRAPREST...</td>\n",
       "      <td>728.0</td>\n",
       "      <td>0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>Convenio Marco. Programa \"Tu Salud en Marcha\"....</td>\n",
       "      <td>http://www.diputoledo.es/global/8/1420/5259</td>\n",
       "      <td>2018-2018-2310-46212-N</td>\n",
       "      <td>2018-01-01</td>\n",
       "      <td>P4514800D AYTO DE RIELVES</td>\n",
       "      <td>728.0</td>\n",
       "      <td>SUBVENCIÓN Y ENTREGA DINERARIA SIN CONTRAPREST...</td>\n",
       "      <td>728.0</td>\n",
       "      <td>0</td>\n",
       "      <td>387140</td>\n",
       "      <td>10435022</td>\n",
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       "      <th>10434797</th>\n",
       "      <td>31933744</td>\n",
       "      <td>588690</td>\n",
       "      <td>DIPUTACIÓN PROV. DE TOLEDO</td>\n",
       "      <td>DIPUTACIÓN PROVINCIAL DE TOLEDO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Convenio Marco. Programa \"Tu Salud en Marcha\"....</td>\n",
       "      <td>http://www.diputoledo.es/global/8/1420/5259</td>\n",
       "      <td>2018-2018-2310-46212-N</td>\n",
       "      <td>2018-01-01</td>\n",
       "      <td>P4518900H AYTO DE VILLALUENGA</td>\n",
       "      <td>1456.0</td>\n",
       "      <td>SUBVENCIÓN Y ENTREGA DINERARIA SIN CONTRAPREST...</td>\n",
       "      <td>1456.0</td>\n",
       "      <td>0</td>\n",
       "      <td>387140</td>\n",
       "      <td>10435022</td>\n",
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       "      <th>10434798</th>\n",
       "      <td>31933745</td>\n",
       "      <td>588690</td>\n",
       "      <td>DIPUTACIÓN PROV. DE TOLEDO</td>\n",
       "      <td>DIPUTACIÓN PROVINCIAL DE TOLEDO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Convenio Marco. Programa \"Tu Salud en Marcha\"....</td>\n",
       "      <td>http://www.diputoledo.es/global/8/1420/5259</td>\n",
       "      <td>2018-2018-2310-46212-N</td>\n",
       "      <td>2018-01-01</td>\n",
       "      <td>P4516400A AYTO DE SONSECA</td>\n",
       "      <td>2184.0</td>\n",
       "      <td>SUBVENCIÓN Y ENTREGA DINERARIA SIN CONTRAPREST...</td>\n",
       "      <td>2184.0</td>\n",
       "      <td>0</td>\n",
       "      <td>387140</td>\n",
       "      <td>10435022</td>\n",
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       "      <th>10434799</th>\n",
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       "      <td>588690</td>\n",
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       "      <td>DIPUTACIÓN PROVINCIAL DE TOLEDO</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>2018-01-01</td>\n",
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       "      <td>2184.0</td>\n",
       "      <td>SUBVENCIÓN Y ENTREGA DINERARIA SIN CONTRAPREST...</td>\n",
       "      <td>2184.0</td>\n",
       "      <td>0</td>\n",
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       "      <td>10435022</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  id  id_convocatoria              administracion  \\\n",
       "id_interna                                                          \n",
       "10434939    33782917           588690  DIPUTACIÓN PROV. DE TOLEDO   \n",
       "10434796    31933725           588690  DIPUTACIÓN PROV. DE TOLEDO   \n",
       "10434797    31933744           588690  DIPUTACIÓN PROV. DE TOLEDO   \n",
       "10434798    31933745           588690  DIPUTACIÓN PROV. DE TOLEDO   \n",
       "10434799    31933746           588690  DIPUTACIÓN PROV. DE TOLEDO   \n",
       "\n",
       "                               departamento organo  \\\n",
       "id_interna                                           \n",
       "10434939    DIPUTACIÓN PROVINCIAL DE TOLEDO    NaN   \n",
       "10434796    DIPUTACIÓN PROVINCIAL DE TOLEDO    NaN   \n",
       "10434797    DIPUTACIÓN PROVINCIAL DE TOLEDO    NaN   \n",
       "10434798    DIPUTACIÓN PROVINCIAL DE TOLEDO    NaN   \n",
       "10434799    DIPUTACIÓN PROVINCIAL DE TOLEDO    NaN   \n",
       "\n",
       "                                                 convocatoria  \\\n",
       "id_interna                                                      \n",
       "10434939    Convenio Marco. Programa \"Tu Salud en Marcha\"....   \n",
       "10434796    Convenio Marco. Programa \"Tu Salud en Marcha\"....   \n",
       "10434797    Convenio Marco. Programa \"Tu Salud en Marcha\"....   \n",
       "10434798    Convenio Marco. Programa \"Tu Salud en Marcha\"....   \n",
       "10434799    Convenio Marco. Programa \"Tu Salud en Marcha\"....   \n",
       "\n",
       "                                        url_bases_regul  \\\n",
       "id_interna                                                \n",
       "10434939    http://www.diputoledo.es/global/8/1420/5259   \n",
       "10434796    http://www.diputoledo.es/global/8/1420/5259   \n",
       "10434797    http://www.diputoledo.es/global/8/1420/5259   \n",
       "10434798    http://www.diputoledo.es/global/8/1420/5259   \n",
       "10434799    http://www.diputoledo.es/global/8/1420/5259   \n",
       "\n",
       "               apli_presupuestaria fecha_concesion  \\\n",
       "id_interna                                           \n",
       "10434939    2018-2018-2310-46212-S      2018-01-01   \n",
       "10434796    2018-2018-2310-46212-N      2018-01-01   \n",
       "10434797    2018-2018-2310-46212-N      2018-01-01   \n",
       "10434798    2018-2018-2310-46212-N      2018-01-01   \n",
       "10434799    2018-2018-2310-46212-N      2018-01-01   \n",
       "\n",
       "                                               beneficiario  importe  \\\n",
       "id_interna                                                             \n",
       "10434939                      P4515000J AYTO DE ROMERAL, EL    728.0   \n",
       "10434796                          P4514800D AYTO DE RIELVES    728.0   \n",
       "10434797                      P4518900H AYTO DE VILLALUENGA   1456.0   \n",
       "10434798                          P4516400A AYTO DE SONSECA   2184.0   \n",
       "10434799    P4515100H AYTO DE SAN BARTOLOME DE LAS ABIERTAS   2184.0   \n",
       "\n",
       "                                                  instrumento  \\\n",
       "id_interna                                                      \n",
       "10434939    SUBVENCIÓN Y ENTREGA DINERARIA SIN CONTRAPREST...   \n",
       "10434796    SUBVENCIÓN Y ENTREGA DINERARIA SIN CONTRAPREST...   \n",
       "10434797    SUBVENCIÓN Y ENTREGA DINERARIA SIN CONTRAPREST...   \n",
       "10434798    SUBVENCIÓN Y ENTREGA DINERARIA SIN CONTRAPREST...   \n",
       "10434799    SUBVENCIÓN Y ENTREGA DINERARIA SIN CONTRAPREST...   \n",
       "\n",
       "            ayuda_equivalente  detalles num_convocatoria  valor_desconocido  \n",
       "id_interna                                                                   \n",
       "10434939                728.0         0           387140           10435022  \n",
       "10434796                728.0         0           387140           10435022  \n",
       "10434797               1456.0         0           387140           10435022  \n",
       "10434798               2184.0         0           387140           10435022  \n",
       "10434799               2184.0         0           387140           10435022  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jur2 = pd.read_csv(\n",
    "    \"juridicas_2.csv\",\n",
    "    names=columnas,\n",
    "    usecols=columnas,\n",
    "    index_col=\"id_interna\",\n",
    "    parse_dates=[\"fecha_concesion\"],\n",
    "    date_parser=lambda d: dt.datetime.strptime(d, \"%d/%m/%Y\"),\n",
    ").sort_values(\"fecha_concesion\")\n",
    "jur2.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2abdfb13-e9a9-4479-85b3-046de70a5852",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05bb529d-c0ad-446d-b5c7-33830e431c71",
   "metadata": {},
   "source": [
    "Se buscan y eliminan enlaces inválidos. **TODO: Habría que cambiar el REGEX para que aceptara tanto http como https**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "576e5a9c-be1e-4185-9ef9-dbff6e3979d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Información no disponible en BDNS2007                                                                                                                                                                                                                                                                                                                                                                                          3642\n",
       "No disponible                                                                                                                                                                                                                                                                                                                                                                                                                  3572\n",
       "BOE                                                                                                                                                                                                                                                                                                                                                                                                                            1198\n",
       "URL https://bocyl.jcyl.es/boletines/2017/06/16/pdf/BOCYL-D-16062017-8.pdf                                                                                                                                                                                                                                                                                                                                                       939\n",
       "Pendiente de publicación                                                                                                                                                                                                                                                                                                                                                                                                        626\n",
       "No tiene                                                                                                                                                                                                                                                                                                                                                                                                                        619\n",
       "Orden de 17/06/2016, de la Consejería de Educación, Cultura y Deportes, por la que se establecen las bases reguladoras para la concesión de subvenciones dirigidas a financiar las actividades educativas de las federaciones, confederaciones y asociaciones de padres y madres de alumnos de centros docentes de enseñanza no universitaria sostenidos con fondos públicos en la Comunidad Autónoma de Castilla-La Mancha     437\n",
       "ACUERDO DE JUNTA DE GOBIERNO LOCAL DE FECHA 22 DE FEBRERO DE 2019 POR LA QUE SE CONVOCAN LAS SUBVENCIONES PARA PARA ENTIDADES CIUDADANAS (AREA SOCIAL) CORRESPONDIENTE AL EJERCICIO 2.019                                                                                                                                                                                                                                       374\n",
       "NO DISPONIBLE                                                                                                                                                                                                                                                                                                                                                                                                                   372\n",
       "Name: url_bases_regul, dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "enlaces_invalidos = ~jur2[\"url_bases_regul\"].str.lower().str.contains(\"^http|www\", na=False), \"url_bases_regul\"\n",
    "jur2.loc[enlaces_invalidos].value_counts().nlargest(9)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4036e5c8-a1bc-4eae-a0ea-f1f7f31ac644",
   "metadata": {},
   "source": [
    "Se sustituyen dichos enlaces por None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d8eefbbb-9b07-49d9-8f20-d2fce1ddb372",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Series([], Name: url_bases_regul, dtype: int64)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jur2.loc[enlaces_invalidos] = None\n",
    "jur2.loc[enlaces_invalidos].value_counts().nlargest(9)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6106abd-b085-4043-82ee-adfc5a4bd770",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5276c5f-ab00-4ccf-8680-a92b4655759a",
   "metadata": {},
   "source": [
    "Se analizan datos faltantes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "56a77a54-321e-4c8d-9aca-e5ab2b95aff0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import missingno as msno\n",
    "\n",
    "msno.matrix(jur2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85886758-d09f-4715-9b87-e4ceea0da65a",
   "metadata": {},
   "source": [
    "En este caso tenemos, aunque tenemos los datos faltantes en la columna de órgano, sí que tenemos muchas más aplicaciones presupuestarias:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1d372530-944d-4aed-8cf3-11505ec7a7ec",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total de aplicaciones presupuestarias faltantes: 160627 de 1814533 (un 8.85%)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "presu_faltantes = jur2[\"apli_presupuestaria\"].isna()\n",
    "print(\"Total de aplicaciones presupuestarias faltantes: \" + str(presu_faltantes.value_counts()[1]) + \" de \" + str(len(jur2)) + \" (un \" + str(round(100*presu_faltantes.value_counts()[1]/len(jur2), 2)) + \"%)\\n\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "8fc40cee-cd5e-4da2-8bd2-ae8cb936be08",
   "metadata": {},
   "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>administracion</th>\n",
       "      <th>departamento</th>\n",
       "      <th>organo</th>\n",
       "      <th>apli_presupuestaria</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id_interna</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10434939</th>\n",
       "      <td>DIPUTACIÓN PROV. DE TOLEDO</td>\n",
       "      <td>DIPUTACIÓN PROVINCIAL DE TOLEDO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-2018-2310-46212-S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10434796</th>\n",
       "      <td>DIPUTACIÓN PROV. DE TOLEDO</td>\n",
       "      <td>DIPUTACIÓN PROVINCIAL DE TOLEDO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-2018-2310-46212-N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10434797</th>\n",
       "      <td>DIPUTACIÓN PROV. DE TOLEDO</td>\n",
       "      <td>DIPUTACIÓN PROVINCIAL DE TOLEDO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-2018-2310-46212-N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10434798</th>\n",
       "      <td>DIPUTACIÓN PROV. DE TOLEDO</td>\n",
       "      <td>DIPUTACIÓN PROVINCIAL DE TOLEDO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-2018-2310-46212-N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10434799</th>\n",
       "      <td>DIPUTACIÓN PROV. DE TOLEDO</td>\n",
       "      <td>DIPUTACIÓN PROVINCIAL DE TOLEDO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-2018-2310-46212-N</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        administracion                     departamento  \\\n",
       "id_interna                                                                \n",
       "10434939    DIPUTACIÓN PROV. DE TOLEDO  DIPUTACIÓN PROVINCIAL DE TOLEDO   \n",
       "10434796    DIPUTACIÓN PROV. DE TOLEDO  DIPUTACIÓN PROVINCIAL DE TOLEDO   \n",
       "10434797    DIPUTACIÓN PROV. DE TOLEDO  DIPUTACIÓN PROVINCIAL DE TOLEDO   \n",
       "10434798    DIPUTACIÓN PROV. DE TOLEDO  DIPUTACIÓN PROVINCIAL DE TOLEDO   \n",
       "10434799    DIPUTACIÓN PROV. DE TOLEDO  DIPUTACIÓN PROVINCIAL DE TOLEDO   \n",
       "\n",
       "           organo     apli_presupuestaria  \n",
       "id_interna                                 \n",
       "10434939      NaN  2018-2018-2310-46212-S  \n",
       "10434796      NaN  2018-2018-2310-46212-N  \n",
       "10434797      NaN  2018-2018-2310-46212-N  \n",
       "10434798      NaN  2018-2018-2310-46212-N  \n",
       "10434799      NaN  2018-2018-2310-46212-N  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jur2.loc[~jur2[\"apli_presupuestaria\"].isna(), [\"administracion\", \"departamento\", \"organo\", \"apli_presupuestaria\"]].head()"
   ]
  }
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