└── Aula_1.ipynb


/Aula_1.ipynb:
--------------------------------------------------------------------------------
   1 | {
   2 |   "nbformat": 4,
   3 |   "nbformat_minor": 0,
   4 |   "metadata": {
   5 |     "colab": {
   6 |       "name": "Aula 1.ipynb",
   7 |       "provenance": [],
   8 |       "collapsed_sections": [
   9 |         "yK7CLCUQp-x4"
  10 |       ]
  11 |     },
  12 |     "kernelspec": {
  13 |       "name": "python3",
  14 |       "display_name": "Python 3"
  15 |     }
  16 |   },
  17 |   "cells": [
  18 |     {
  19 |       "cell_type": "markdown",
  20 |       "metadata": {
  21 |         "id": "yK7CLCUQp-x4"
  22 |       },
  23 |       "source": [
  24 |         "# Importando base de datos"
  25 |       ]
  26 |     },
  27 |     {
  28 |       "cell_type": "code",
  29 |       "metadata": {
  30 |         "id": "1vpvnGT0pdUK"
  31 |       },
  32 |       "source": [
  33 |         "import pandas as pd"
  34 |       ],
  35 |       "execution_count": null,
  36 |       "outputs": []
  37 |     },
  38 |     {
  39 |       "cell_type": "code",
  40 |       "metadata": {
  41 |         "id": "eo-KjjS8qBIW",
  42 |         "colab": {
  43 |           "base_uri": "https://localhost:8080/"
  44 |         },
  45 |         "outputId": "4922a997-65bb-4965-e297-034658efc967"
  46 |       },
  47 |       "source": [
  48 |         "pd.read_csv('credit_card.csv')"
  49 |       ],
  50 |       "execution_count": null,
  51 |       "outputs": [
  52 |         {
  53 |           "output_type": "execute_result",
  54 |           "data": {
  55 |             "text/html": [
  56 |               "<div>\n",
  57 |               "<style scoped>\n",
  58 |               "    .dataframe tbody tr th:only-of-type {\n",
  59 |               "        vertical-align: middle;\n",
  60 |               "    }\n",
  61 |               "\n",
  62 |               "    .dataframe tbody tr th {\n",
  63 |               "        vertical-align: top;\n",
  64 |               "    }\n",
  65 |               "\n",
  66 |               "    .dataframe thead th {\n",
  67 |               "        text-align: right;\n",
  68 |               "    }\n",
  69 |               "</style>\n",
  70 |               "<table border=\"1\" class=\"dataframe\">\n",
  71 |               "  <thead>\n",
  72 |               "    <tr style=\"text-align: right;\">\n",
  73 |               "      <th></th>\n",
  74 |               "      <th>LIMIT_BAL</th>\n",
  75 |               "      <th>CHECKING_ACCOUNT</th>\n",
  76 |               "      <th>EDUCATION</th>\n",
  77 |               "      <th>MARRIAGE</th>\n",
  78 |               "      <th>AGE</th>\n",
  79 |               "      <th>BILL_AMT</th>\n",
  80 |               "      <th>PAY_AMT</th>\n",
  81 |               "      <th>DEFAULT</th>\n",
  82 |               "    </tr>\n",
  83 |               "  </thead>\n",
  84 |               "  <tbody>\n",
  85 |               "    <tr>\n",
  86 |               "      <th>0</th>\n",
  87 |               "      <td>6022</td>\n",
  88 |               "      <td>Yes</td>\n",
  89 |               "      <td>2.University</td>\n",
  90 |               "      <td>Married</td>\n",
  91 |               "      <td>24</td>\n",
  92 |               "      <td>934.0122</td>\n",
  93 |               "      <td>0.0000</td>\n",
  94 |               "      <td>1</td>\n",
  95 |               "    </tr>\n",
  96 |               "    <tr>\n",
  97 |               "      <th>1</th>\n",
  98 |               "      <td>36132</td>\n",
  99 |               "      <td>Yes</td>\n",
 100 |               "      <td>2.University</td>\n",
 101 |               "      <td>Single</td>\n",
 102 |               "      <td>26</td>\n",
 103 |               "      <td>519.3975</td>\n",
 104 |               "      <td>0.0000</td>\n",
 105 |               "      <td>1</td>\n",
 106 |               "    </tr>\n",
 107 |               "    <tr>\n",
 108 |               "      <th>2</th>\n",
 109 |               "      <td>27099</td>\n",
 110 |               "      <td>Yes</td>\n",
 111 |               "      <td>2.University</td>\n",
 112 |               "      <td>Single</td>\n",
 113 |               "      <td>34</td>\n",
 114 |               "      <td>4223.5297</td>\n",
 115 |               "      <td>457.0698</td>\n",
 116 |               "      <td>0</td>\n",
 117 |               "    </tr>\n",
 118 |               "    <tr>\n",
 119 |               "      <th>3</th>\n",
 120 |               "      <td>15055</td>\n",
 121 |               "      <td>Yes</td>\n",
 122 |               "      <td>2.University</td>\n",
 123 |               "      <td>Married</td>\n",
 124 |               "      <td>37</td>\n",
 125 |               "      <td>14522.9563</td>\n",
 126 |               "      <td>602.2000</td>\n",
 127 |               "      <td>0</td>\n",
 128 |               "    </tr>\n",
 129 |               "    <tr>\n",
 130 |               "      <th>4</th>\n",
 131 |               "      <td>150550</td>\n",
 132 |               "      <td>No</td>\n",
 133 |               "      <td>3.Graduate School</td>\n",
 134 |               "      <td>Single</td>\n",
 135 |               "      <td>29</td>\n",
 136 |               "      <td>124060.1253</td>\n",
 137 |               "      <td>16560.5000</td>\n",
 138 |               "      <td>0</td>\n",
 139 |               "    </tr>\n",
 140 |               "    <tr>\n",
 141 |               "      <th>...</th>\n",
 142 |               "      <td>...</td>\n",
 143 |               "      <td>...</td>\n",
 144 |               "      <td>...</td>\n",
 145 |               "      <td>...</td>\n",
 146 |               "      <td>...</td>\n",
 147 |               "      <td>...</td>\n",
 148 |               "      <td>...</td>\n",
 149 |               "      <td>...</td>\n",
 150 |               "    </tr>\n",
 151 |               "    <tr>\n",
 152 |               "      <th>1495</th>\n",
 153 |               "      <td>54198</td>\n",
 154 |               "      <td>Yes</td>\n",
 155 |               "      <td>3.Graduate School</td>\n",
 156 |               "      <td>Single</td>\n",
 157 |               "      <td>27</td>\n",
 158 |               "      <td>295.0780</td>\n",
 159 |               "      <td>0.0000</td>\n",
 160 |               "      <td>1</td>\n",
 161 |               "    </tr>\n",
 162 |               "    <tr>\n",
 163 |               "      <th>1496</th>\n",
 164 |               "      <td>45165</td>\n",
 165 |               "      <td>No</td>\n",
 166 |               "      <td>2.University</td>\n",
 167 |               "      <td>Married</td>\n",
 168 |               "      <td>55</td>\n",
 169 |               "      <td>23637.8555</td>\n",
 170 |               "      <td>1144.1800</td>\n",
 171 |               "      <td>0</td>\n",
 172 |               "    </tr>\n",
 173 |               "    <tr>\n",
 174 |               "      <th>1497</th>\n",
 175 |               "      <td>78286</td>\n",
 176 |               "      <td>No</td>\n",
 177 |               "      <td>3.Graduate School</td>\n",
 178 |               "      <td>Single</td>\n",
 179 |               "      <td>34</td>\n",
 180 |               "      <td>962.9178</td>\n",
 181 |               "      <td>962.9178</td>\n",
 182 |               "      <td>0</td>\n",
 183 |               "    </tr>\n",
 184 |               "    <tr>\n",
 185 |               "      <th>1498</th>\n",
 186 |               "      <td>6022</td>\n",
 187 |               "      <td>No</td>\n",
 188 |               "      <td>2.University</td>\n",
 189 |               "      <td>Married</td>\n",
 190 |               "      <td>44</td>\n",
 191 |               "      <td>864.7592</td>\n",
 192 |               "      <td>864.7592</td>\n",
 193 |               "      <td>0</td>\n",
 194 |               "    </tr>\n",
 195 |               "    <tr>\n",
 196 |               "      <th>1499</th>\n",
 197 |               "      <td>183671</td>\n",
 198 |               "      <td>No</td>\n",
 199 |               "      <td>3.Graduate School</td>\n",
 200 |               "      <td>Single</td>\n",
 201 |               "      <td>31</td>\n",
 202 |               "      <td>97022.8508</td>\n",
 203 |               "      <td>97022.8508</td>\n",
 204 |               "      <td>0</td>\n",
 205 |               "    </tr>\n",
 206 |               "  </tbody>\n",
 207 |               "</table>\n",
 208 |               "<p>1500 rows × 8 columns</p>\n",
 209 |               "</div>"
 210 |             ],
 211 |             "text/plain": [
 212 |               "      LIMIT_BAL CHECKING_ACCOUNT  ...     PAY_AMT DEFAULT\n",
 213 |               "0          6022              Yes  ...      0.0000       1\n",
 214 |               "1         36132              Yes  ...      0.0000       1\n",
 215 |               "2         27099              Yes  ...    457.0698       0\n",
 216 |               "3         15055              Yes  ...    602.2000       0\n",
 217 |               "4        150550               No  ...  16560.5000       0\n",
 218 |               "...         ...              ...  ...         ...     ...\n",
 219 |               "1495      54198              Yes  ...      0.0000       1\n",
 220 |               "1496      45165               No  ...   1144.1800       0\n",
 221 |               "1497      78286               No  ...    962.9178       0\n",
 222 |               "1498       6022               No  ...    864.7592       0\n",
 223 |               "1499     183671               No  ...  97022.8508       0\n",
 224 |               "\n",
 225 |               "[1500 rows x 8 columns]"
 226 |             ]
 227 |           },
 228 |           "metadata": {
 229 |             "tags": []
 230 |           },
 231 |           "execution_count": 2
 232 |         }
 233 |       ]
 234 |     },
 235 |     {
 236 |       "cell_type": "code",
 237 |       "metadata": {
 238 |         "id": "51-Xa1-2qQ9V"
 239 |       },
 240 |       "source": [
 241 |         "datos = pd.read_csv('credit_card.csv')"
 242 |       ],
 243 |       "execution_count": null,
 244 |       "outputs": []
 245 |     },
 246 |     {
 247 |       "cell_type": "code",
 248 |       "metadata": {
 249 |         "id": "vk5csq8Oq0D6",
 250 |         "colab": {
 251 |           "base_uri": "https://localhost:8080/"
 252 |         },
 253 |         "outputId": "ff7016fa-fbb2-4eaf-f4db-25eaeab41488"
 254 |       },
 255 |       "source": [
 256 |         "datos.head()"
 257 |       ],
 258 |       "execution_count": null,
 259 |       "outputs": [
 260 |         {
 261 |           "output_type": "execute_result",
 262 |           "data": {
 263 |             "text/html": [
 264 |               "<div>\n",
 265 |               "<style scoped>\n",
 266 |               "    .dataframe tbody tr th:only-of-type {\n",
 267 |               "        vertical-align: middle;\n",
 268 |               "    }\n",
 269 |               "\n",
 270 |               "    .dataframe tbody tr th {\n",
 271 |               "        vertical-align: top;\n",
 272 |               "    }\n",
 273 |               "\n",
 274 |               "    .dataframe thead th {\n",
 275 |               "        text-align: right;\n",
 276 |               "    }\n",
 277 |               "</style>\n",
 278 |               "<table border=\"1\" class=\"dataframe\">\n",
 279 |               "  <thead>\n",
 280 |               "    <tr style=\"text-align: right;\">\n",
 281 |               "      <th></th>\n",
 282 |               "      <th>LIMIT_BAL</th>\n",
 283 |               "      <th>CHECKING_ACCOUNT</th>\n",
 284 |               "      <th>EDUCATION</th>\n",
 285 |               "      <th>MARRIAGE</th>\n",
 286 |               "      <th>AGE</th>\n",
 287 |               "      <th>BILL_AMT</th>\n",
 288 |               "      <th>PAY_AMT</th>\n",
 289 |               "      <th>DEFAULT</th>\n",
 290 |               "    </tr>\n",
 291 |               "  </thead>\n",
 292 |               "  <tbody>\n",
 293 |               "    <tr>\n",
 294 |               "      <th>0</th>\n",
 295 |               "      <td>6022</td>\n",
 296 |               "      <td>Yes</td>\n",
 297 |               "      <td>2.University</td>\n",
 298 |               "      <td>Married</td>\n",
 299 |               "      <td>24</td>\n",
 300 |               "      <td>934.0122</td>\n",
 301 |               "      <td>0.0000</td>\n",
 302 |               "      <td>1</td>\n",
 303 |               "    </tr>\n",
 304 |               "    <tr>\n",
 305 |               "      <th>1</th>\n",
 306 |               "      <td>36132</td>\n",
 307 |               "      <td>Yes</td>\n",
 308 |               "      <td>2.University</td>\n",
 309 |               "      <td>Single</td>\n",
 310 |               "      <td>26</td>\n",
 311 |               "      <td>519.3975</td>\n",
 312 |               "      <td>0.0000</td>\n",
 313 |               "      <td>1</td>\n",
 314 |               "    </tr>\n",
 315 |               "    <tr>\n",
 316 |               "      <th>2</th>\n",
 317 |               "      <td>27099</td>\n",
 318 |               "      <td>Yes</td>\n",
 319 |               "      <td>2.University</td>\n",
 320 |               "      <td>Single</td>\n",
 321 |               "      <td>34</td>\n",
 322 |               "      <td>4223.5297</td>\n",
 323 |               "      <td>457.0698</td>\n",
 324 |               "      <td>0</td>\n",
 325 |               "    </tr>\n",
 326 |               "    <tr>\n",
 327 |               "      <th>3</th>\n",
 328 |               "      <td>15055</td>\n",
 329 |               "      <td>Yes</td>\n",
 330 |               "      <td>2.University</td>\n",
 331 |               "      <td>Married</td>\n",
 332 |               "      <td>37</td>\n",
 333 |               "      <td>14522.9563</td>\n",
 334 |               "      <td>602.2000</td>\n",
 335 |               "      <td>0</td>\n",
 336 |               "    </tr>\n",
 337 |               "    <tr>\n",
 338 |               "      <th>4</th>\n",
 339 |               "      <td>150550</td>\n",
 340 |               "      <td>No</td>\n",
 341 |               "      <td>3.Graduate School</td>\n",
 342 |               "      <td>Single</td>\n",
 343 |               "      <td>29</td>\n",
 344 |               "      <td>124060.1253</td>\n",
 345 |               "      <td>16560.5000</td>\n",
 346 |               "      <td>0</td>\n",
 347 |               "    </tr>\n",
 348 |               "  </tbody>\n",
 349 |               "</table>\n",
 350 |               "</div>"
 351 |             ],
 352 |             "text/plain": [
 353 |               "   LIMIT_BAL CHECKING_ACCOUNT  ...     PAY_AMT DEFAULT\n",
 354 |               "0       6022              Yes  ...      0.0000       1\n",
 355 |               "1      36132              Yes  ...      0.0000       1\n",
 356 |               "2      27099              Yes  ...    457.0698       0\n",
 357 |               "3      15055              Yes  ...    602.2000       0\n",
 358 |               "4     150550               No  ...  16560.5000       0\n",
 359 |               "\n",
 360 |               "[5 rows x 8 columns]"
 361 |             ]
 362 |           },
 363 |           "metadata": {
 364 |             "tags": []
 365 |           },
 366 |           "execution_count": 4
 367 |         }
 368 |       ]
 369 |     },
 370 |     {
 371 |       "cell_type": "code",
 372 |       "metadata": {
 373 |         "id": "QwOFyWTrq4b3",
 374 |         "colab": {
 375 |           "base_uri": "https://localhost:8080/"
 376 |         },
 377 |         "outputId": "0cae559d-a155-49fa-8b35-f66d349afec4"
 378 |       },
 379 |       "source": [
 380 |         "datos.info()"
 381 |       ],
 382 |       "execution_count": null,
 383 |       "outputs": [
 384 |         {
 385 |           "output_type": "stream",
 386 |           "text": [
 387 |             "<class 'pandas.core.frame.DataFrame'>\n",
 388 |             "RangeIndex: 1500 entries, 0 to 1499\n",
 389 |             "Data columns (total 8 columns):\n",
 390 |             " #   Column            Non-Null Count  Dtype  \n",
 391 |             "---  ------            --------------  -----  \n",
 392 |             " 0   LIMIT_BAL         1500 non-null   int64  \n",
 393 |             " 1   CHECKING_ACCOUNT  1500 non-null   object \n",
 394 |             " 2   EDUCATION         1500 non-null   object \n",
 395 |             " 3   MARRIAGE          1500 non-null   object \n",
 396 |             " 4   AGE               1500 non-null   int64  \n",
 397 |             " 5   BILL_AMT          1500 non-null   float64\n",
 398 |             " 6   PAY_AMT           1500 non-null   float64\n",
 399 |             " 7   DEFAULT           1500 non-null   int64  \n",
 400 |             "dtypes: float64(2), int64(3), object(3)\n",
 401 |             "memory usage: 93.9+ KB\n"
 402 |           ],
 403 |           "name": "stdout"
 404 |         }
 405 |       ]
 406 |     },
 407 |     {
 408 |       "cell_type": "markdown",
 409 |       "metadata": {
 410 |         "id": "M5Aua0mtr_-a"
 411 |       },
 412 |       "source": [
 413 |         "# Traduciendo variables"
 414 |       ]
 415 |     },
 416 |     {
 417 |       "cell_type": "code",
 418 |       "metadata": {
 419 |         "id": "EkLxzoS2rArT",
 420 |         "colab": {
 421 |           "base_uri": "https://localhost:8080/"
 422 |         },
 423 |         "outputId": "74ba61e5-cc55-4d47-bc15-17a92a314a0a"
 424 |       },
 425 |       "source": [
 426 |         "datos.columns"
 427 |       ],
 428 |       "execution_count": null,
 429 |       "outputs": [
 430 |         {
 431 |           "output_type": "execute_result",
 432 |           "data": {
 433 |             "text/plain": [
 434 |               "Index(['LIMIT_BAL', 'CHECKING_ACCOUNT', 'EDUCATION', 'MARRIAGE', 'AGE',\n",
 435 |               "       'BILL_AMT', 'PAY_AMT', 'DEFAULT'],\n",
 436 |               "      dtype='object')"
 437 |             ]
 438 |           },
 439 |           "metadata": {
 440 |             "tags": []
 441 |           },
 442 |           "execution_count": 6
 443 |         }
 444 |       ]
 445 |     },
 446 |     {
 447 |       "cell_type": "code",
 448 |       "metadata": {
 449 |         "id": "2C4vyEp0sCPJ"
 450 |       },
 451 |       "source": [
 452 |         "dic_columnas = {\n",
 453 |         "    'LIMIT_BAL' : 'limite', \n",
 454 |         "    'CHECKING_ACCOUNT' : 'cuenta_corriente', \n",
 455 |         "    'EDUCATION' : 'escolaridad', \n",
 456 |         "    'MARRIAGE' : 'estado_civil', \n",
 457 |         "    'AGE' : 'edad',\n",
 458 |         "    'BILL_AMT' : 'valor_factura', \n",
 459 |         "    'PAY_AMT' : 'valor_pago', \n",
 460 |         "    'DEFAULT' : 'moroso'\n",
 461 |         "}"
 462 |       ],
 463 |       "execution_count": null,
 464 |       "outputs": []
 465 |     },
 466 |     {
 467 |       "cell_type": "code",
 468 |       "metadata": {
 469 |         "id": "DajHMeOXsx7V"
 470 |       },
 471 |       "source": [
 472 |         "tarjetas = datos.rename(columns = dic_columnas)"
 473 |       ],
 474 |       "execution_count": null,
 475 |       "outputs": []
 476 |     },
 477 |     {
 478 |       "cell_type": "code",
 479 |       "metadata": {
 480 |         "id": "MOOByTxvs_xY",
 481 |         "colab": {
 482 |           "base_uri": "https://localhost:8080/"
 483 |         },
 484 |         "outputId": "71297d4a-9580-4940-dbb8-12f49da3c7f5"
 485 |       },
 486 |       "source": [
 487 |         "tarjetas.head()"
 488 |       ],
 489 |       "execution_count": null,
 490 |       "outputs": [
 491 |         {
 492 |           "output_type": "execute_result",
 493 |           "data": {
 494 |             "text/html": [
 495 |               "<div>\n",
 496 |               "<style scoped>\n",
 497 |               "    .dataframe tbody tr th:only-of-type {\n",
 498 |               "        vertical-align: middle;\n",
 499 |               "    }\n",
 500 |               "\n",
 501 |               "    .dataframe tbody tr th {\n",
 502 |               "        vertical-align: top;\n",
 503 |               "    }\n",
 504 |               "\n",
 505 |               "    .dataframe thead th {\n",
 506 |               "        text-align: right;\n",
 507 |               "    }\n",
 508 |               "</style>\n",
 509 |               "<table border=\"1\" class=\"dataframe\">\n",
 510 |               "  <thead>\n",
 511 |               "    <tr style=\"text-align: right;\">\n",
 512 |               "      <th></th>\n",
 513 |               "      <th>limite</th>\n",
 514 |               "      <th>cuenta_corriente</th>\n",
 515 |               "      <th>escolaridad</th>\n",
 516 |               "      <th>estado_civil</th>\n",
 517 |               "      <th>edad</th>\n",
 518 |               "      <th>valor_factura</th>\n",
 519 |               "      <th>valor_pago</th>\n",
 520 |               "      <th>moroso</th>\n",
 521 |               "    </tr>\n",
 522 |               "  </thead>\n",
 523 |               "  <tbody>\n",
 524 |               "    <tr>\n",
 525 |               "      <th>0</th>\n",
 526 |               "      <td>6022</td>\n",
 527 |               "      <td>Yes</td>\n",
 528 |               "      <td>2.University</td>\n",
 529 |               "      <td>Married</td>\n",
 530 |               "      <td>24</td>\n",
 531 |               "      <td>934.0122</td>\n",
 532 |               "      <td>0.0000</td>\n",
 533 |               "      <td>1</td>\n",
 534 |               "    </tr>\n",
 535 |               "    <tr>\n",
 536 |               "      <th>1</th>\n",
 537 |               "      <td>36132</td>\n",
 538 |               "      <td>Yes</td>\n",
 539 |               "      <td>2.University</td>\n",
 540 |               "      <td>Single</td>\n",
 541 |               "      <td>26</td>\n",
 542 |               "      <td>519.3975</td>\n",
 543 |               "      <td>0.0000</td>\n",
 544 |               "      <td>1</td>\n",
 545 |               "    </tr>\n",
 546 |               "    <tr>\n",
 547 |               "      <th>2</th>\n",
 548 |               "      <td>27099</td>\n",
 549 |               "      <td>Yes</td>\n",
 550 |               "      <td>2.University</td>\n",
 551 |               "      <td>Single</td>\n",
 552 |               "      <td>34</td>\n",
 553 |               "      <td>4223.5297</td>\n",
 554 |               "      <td>457.0698</td>\n",
 555 |               "      <td>0</td>\n",
 556 |               "    </tr>\n",
 557 |               "    <tr>\n",
 558 |               "      <th>3</th>\n",
 559 |               "      <td>15055</td>\n",
 560 |               "      <td>Yes</td>\n",
 561 |               "      <td>2.University</td>\n",
 562 |               "      <td>Married</td>\n",
 563 |               "      <td>37</td>\n",
 564 |               "      <td>14522.9563</td>\n",
 565 |               "      <td>602.2000</td>\n",
 566 |               "      <td>0</td>\n",
 567 |               "    </tr>\n",
 568 |               "    <tr>\n",
 569 |               "      <th>4</th>\n",
 570 |               "      <td>150550</td>\n",
 571 |               "      <td>No</td>\n",
 572 |               "      <td>3.Graduate School</td>\n",
 573 |               "      <td>Single</td>\n",
 574 |               "      <td>29</td>\n",
 575 |               "      <td>124060.1253</td>\n",
 576 |               "      <td>16560.5000</td>\n",
 577 |               "      <td>0</td>\n",
 578 |               "    </tr>\n",
 579 |               "  </tbody>\n",
 580 |               "</table>\n",
 581 |               "</div>"
 582 |             ],
 583 |             "text/plain": [
 584 |               "   limite cuenta_corriente  ...  valor_pago moroso\n",
 585 |               "0    6022              Yes  ...      0.0000      1\n",
 586 |               "1   36132              Yes  ...      0.0000      1\n",
 587 |               "2   27099              Yes  ...    457.0698      0\n",
 588 |               "3   15055              Yes  ...    602.2000      0\n",
 589 |               "4  150550               No  ...  16560.5000      0\n",
 590 |               "\n",
 591 |               "[5 rows x 8 columns]"
 592 |             ]
 593 |           },
 594 |           "metadata": {
 595 |             "tags": []
 596 |           },
 597 |           "execution_count": 9
 598 |         }
 599 |       ]
 600 |     },
 601 |     {
 602 |       "cell_type": "code",
 603 |       "metadata": {
 604 |         "id": "dbVlkME1tC6G",
 605 |         "colab": {
 606 |           "base_uri": "https://localhost:8080/"
 607 |         },
 608 |         "outputId": "28bc0ad9-cd2e-4604-949d-91fd9470071d"
 609 |       },
 610 |       "source": [
 611 |         "tarjetas.cuenta_corriente.unique()"
 612 |       ],
 613 |       "execution_count": null,
 614 |       "outputs": [
 615 |         {
 616 |           "output_type": "execute_result",
 617 |           "data": {
 618 |             "text/plain": [
 619 |               "array(['Yes', 'No'], dtype=object)"
 620 |             ]
 621 |           },
 622 |           "metadata": {
 623 |             "tags": []
 624 |           },
 625 |           "execution_count": 10
 626 |         }
 627 |       ]
 628 |     },
 629 |     {
 630 |       "cell_type": "code",
 631 |       "metadata": {
 632 |         "id": "C6TFhVRxtS0v"
 633 |       },
 634 |       "source": [
 635 |         "dic_cuenta = {\n",
 636 |         "    'Yes' : 'Si', \n",
 637 |         "    'No' : 'No'\n",
 638 |         "}"
 639 |       ],
 640 |       "execution_count": null,
 641 |       "outputs": []
 642 |     },
 643 |     {
 644 |       "cell_type": "code",
 645 |       "metadata": {
 646 |         "id": "1hLs_7x6tdgi",
 647 |         "colab": {
 648 |           "base_uri": "https://localhost:8080/"
 649 |         },
 650 |         "outputId": "b56a78d2-64b2-46e7-acc4-914a6f4a48b1"
 651 |       },
 652 |       "source": [
 653 |         "tarjetas.cuenta_corriente.map(dic_cuenta)"
 654 |       ],
 655 |       "execution_count": null,
 656 |       "outputs": [
 657 |         {
 658 |           "output_type": "execute_result",
 659 |           "data": {
 660 |             "text/plain": [
 661 |               "0       Si\n",
 662 |               "1       Si\n",
 663 |               "2       Si\n",
 664 |               "3       Si\n",
 665 |               "4       No\n",
 666 |               "        ..\n",
 667 |               "1495    Si\n",
 668 |               "1496    No\n",
 669 |               "1497    No\n",
 670 |               "1498    No\n",
 671 |               "1499    No\n",
 672 |               "Name: cuenta_corriente, Length: 1500, dtype: object"
 673 |             ]
 674 |           },
 675 |           "metadata": {
 676 |             "tags": []
 677 |           },
 678 |           "execution_count": 12
 679 |         }
 680 |       ]
 681 |     },
 682 |     {
 683 |       "cell_type": "code",
 684 |       "metadata": {
 685 |         "id": "Of6TujPDtomI",
 686 |         "colab": {
 687 |           "base_uri": "https://localhost:8080/"
 688 |         },
 689 |         "outputId": "340b2d34-2550-4776-8d8f-8442b6034df5"
 690 |       },
 691 |       "source": [
 692 |         "tarjetas.head()"
 693 |       ],
 694 |       "execution_count": null,
 695 |       "outputs": [
 696 |         {
 697 |           "output_type": "execute_result",
 698 |           "data": {
 699 |             "text/html": [
 700 |               "<div>\n",
 701 |               "<style scoped>\n",
 702 |               "    .dataframe tbody tr th:only-of-type {\n",
 703 |               "        vertical-align: middle;\n",
 704 |               "    }\n",
 705 |               "\n",
 706 |               "    .dataframe tbody tr th {\n",
 707 |               "        vertical-align: top;\n",
 708 |               "    }\n",
 709 |               "\n",
 710 |               "    .dataframe thead th {\n",
 711 |               "        text-align: right;\n",
 712 |               "    }\n",
 713 |               "</style>\n",
 714 |               "<table border=\"1\" class=\"dataframe\">\n",
 715 |               "  <thead>\n",
 716 |               "    <tr style=\"text-align: right;\">\n",
 717 |               "      <th></th>\n",
 718 |               "      <th>limite</th>\n",
 719 |               "      <th>cuenta_corriente</th>\n",
 720 |               "      <th>escolaridad</th>\n",
 721 |               "      <th>estado_civil</th>\n",
 722 |               "      <th>edad</th>\n",
 723 |               "      <th>valor_factura</th>\n",
 724 |               "      <th>valor_pago</th>\n",
 725 |               "      <th>moroso</th>\n",
 726 |               "    </tr>\n",
 727 |               "  </thead>\n",
 728 |               "  <tbody>\n",
 729 |               "    <tr>\n",
 730 |               "      <th>0</th>\n",
 731 |               "      <td>6022</td>\n",
 732 |               "      <td>Yes</td>\n",
 733 |               "      <td>2.University</td>\n",
 734 |               "      <td>Married</td>\n",
 735 |               "      <td>24</td>\n",
 736 |               "      <td>934.0122</td>\n",
 737 |               "      <td>0.0000</td>\n",
 738 |               "      <td>1</td>\n",
 739 |               "    </tr>\n",
 740 |               "    <tr>\n",
 741 |               "      <th>1</th>\n",
 742 |               "      <td>36132</td>\n",
 743 |               "      <td>Yes</td>\n",
 744 |               "      <td>2.University</td>\n",
 745 |               "      <td>Single</td>\n",
 746 |               "      <td>26</td>\n",
 747 |               "      <td>519.3975</td>\n",
 748 |               "      <td>0.0000</td>\n",
 749 |               "      <td>1</td>\n",
 750 |               "    </tr>\n",
 751 |               "    <tr>\n",
 752 |               "      <th>2</th>\n",
 753 |               "      <td>27099</td>\n",
 754 |               "      <td>Yes</td>\n",
 755 |               "      <td>2.University</td>\n",
 756 |               "      <td>Single</td>\n",
 757 |               "      <td>34</td>\n",
 758 |               "      <td>4223.5297</td>\n",
 759 |               "      <td>457.0698</td>\n",
 760 |               "      <td>0</td>\n",
 761 |               "    </tr>\n",
 762 |               "    <tr>\n",
 763 |               "      <th>3</th>\n",
 764 |               "      <td>15055</td>\n",
 765 |               "      <td>Yes</td>\n",
 766 |               "      <td>2.University</td>\n",
 767 |               "      <td>Married</td>\n",
 768 |               "      <td>37</td>\n",
 769 |               "      <td>14522.9563</td>\n",
 770 |               "      <td>602.2000</td>\n",
 771 |               "      <td>0</td>\n",
 772 |               "    </tr>\n",
 773 |               "    <tr>\n",
 774 |               "      <th>4</th>\n",
 775 |               "      <td>150550</td>\n",
 776 |               "      <td>No</td>\n",
 777 |               "      <td>3.Graduate School</td>\n",
 778 |               "      <td>Single</td>\n",
 779 |               "      <td>29</td>\n",
 780 |               "      <td>124060.1253</td>\n",
 781 |               "      <td>16560.5000</td>\n",
 782 |               "      <td>0</td>\n",
 783 |               "    </tr>\n",
 784 |               "  </tbody>\n",
 785 |               "</table>\n",
 786 |               "</div>"
 787 |             ],
 788 |             "text/plain": [
 789 |               "   limite cuenta_corriente  ...  valor_pago moroso\n",
 790 |               "0    6022              Yes  ...      0.0000      1\n",
 791 |               "1   36132              Yes  ...      0.0000      1\n",
 792 |               "2   27099              Yes  ...    457.0698      0\n",
 793 |               "3   15055              Yes  ...    602.2000      0\n",
 794 |               "4  150550               No  ...  16560.5000      0\n",
 795 |               "\n",
 796 |               "[5 rows x 8 columns]"
 797 |             ]
 798 |           },
 799 |           "metadata": {
 800 |             "tags": []
 801 |           },
 802 |           "execution_count": 13
 803 |         }
 804 |       ]
 805 |     },
 806 |     {
 807 |       "cell_type": "code",
 808 |       "metadata": {
 809 |         "id": "OjLFjgAEtuoQ"
 810 |       },
 811 |       "source": [
 812 |         "tarjetas.cuenta_corriente = tarjetas.cuenta_corriente.map(dic_cuenta)"
 813 |       ],
 814 |       "execution_count": null,
 815 |       "outputs": []
 816 |     },
 817 |     {
 818 |       "cell_type": "code",
 819 |       "metadata": {
 820 |         "id": "GYoSlA8Et-4c",
 821 |         "colab": {
 822 |           "base_uri": "https://localhost:8080/"
 823 |         },
 824 |         "outputId": "a4ea32c7-4023-40d8-f316-4887881027a9"
 825 |       },
 826 |       "source": [
 827 |         "tarjetas.head()"
 828 |       ],
 829 |       "execution_count": null,
 830 |       "outputs": [
 831 |         {
 832 |           "output_type": "execute_result",
 833 |           "data": {
 834 |             "text/html": [
 835 |               "<div>\n",
 836 |               "<style scoped>\n",
 837 |               "    .dataframe tbody tr th:only-of-type {\n",
 838 |               "        vertical-align: middle;\n",
 839 |               "    }\n",
 840 |               "\n",
 841 |               "    .dataframe tbody tr th {\n",
 842 |               "        vertical-align: top;\n",
 843 |               "    }\n",
 844 |               "\n",
 845 |               "    .dataframe thead th {\n",
 846 |               "        text-align: right;\n",
 847 |               "    }\n",
 848 |               "</style>\n",
 849 |               "<table border=\"1\" class=\"dataframe\">\n",
 850 |               "  <thead>\n",
 851 |               "    <tr style=\"text-align: right;\">\n",
 852 |               "      <th></th>\n",
 853 |               "      <th>limite</th>\n",
 854 |               "      <th>cuenta_corriente</th>\n",
 855 |               "      <th>escolaridad</th>\n",
 856 |               "      <th>estado_civil</th>\n",
 857 |               "      <th>edad</th>\n",
 858 |               "      <th>valor_factura</th>\n",
 859 |               "      <th>valor_pago</th>\n",
 860 |               "      <th>moroso</th>\n",
 861 |               "    </tr>\n",
 862 |               "  </thead>\n",
 863 |               "  <tbody>\n",
 864 |               "    <tr>\n",
 865 |               "      <th>0</th>\n",
 866 |               "      <td>6022</td>\n",
 867 |               "      <td>Si</td>\n",
 868 |               "      <td>2.University</td>\n",
 869 |               "      <td>Married</td>\n",
 870 |               "      <td>24</td>\n",
 871 |               "      <td>934.0122</td>\n",
 872 |               "      <td>0.0000</td>\n",
 873 |               "      <td>1</td>\n",
 874 |               "    </tr>\n",
 875 |               "    <tr>\n",
 876 |               "      <th>1</th>\n",
 877 |               "      <td>36132</td>\n",
 878 |               "      <td>Si</td>\n",
 879 |               "      <td>2.University</td>\n",
 880 |               "      <td>Single</td>\n",
 881 |               "      <td>26</td>\n",
 882 |               "      <td>519.3975</td>\n",
 883 |               "      <td>0.0000</td>\n",
 884 |               "      <td>1</td>\n",
 885 |               "    </tr>\n",
 886 |               "    <tr>\n",
 887 |               "      <th>2</th>\n",
 888 |               "      <td>27099</td>\n",
 889 |               "      <td>Si</td>\n",
 890 |               "      <td>2.University</td>\n",
 891 |               "      <td>Single</td>\n",
 892 |               "      <td>34</td>\n",
 893 |               "      <td>4223.5297</td>\n",
 894 |               "      <td>457.0698</td>\n",
 895 |               "      <td>0</td>\n",
 896 |               "    </tr>\n",
 897 |               "    <tr>\n",
 898 |               "      <th>3</th>\n",
 899 |               "      <td>15055</td>\n",
 900 |               "      <td>Si</td>\n",
 901 |               "      <td>2.University</td>\n",
 902 |               "      <td>Married</td>\n",
 903 |               "      <td>37</td>\n",
 904 |               "      <td>14522.9563</td>\n",
 905 |               "      <td>602.2000</td>\n",
 906 |               "      <td>0</td>\n",
 907 |               "    </tr>\n",
 908 |               "    <tr>\n",
 909 |               "      <th>4</th>\n",
 910 |               "      <td>150550</td>\n",
 911 |               "      <td>No</td>\n",
 912 |               "      <td>3.Graduate School</td>\n",
 913 |               "      <td>Single</td>\n",
 914 |               "      <td>29</td>\n",
 915 |               "      <td>124060.1253</td>\n",
 916 |               "      <td>16560.5000</td>\n",
 917 |               "      <td>0</td>\n",
 918 |               "    </tr>\n",
 919 |               "  </tbody>\n",
 920 |               "</table>\n",
 921 |               "</div>"
 922 |             ],
 923 |             "text/plain": [
 924 |               "   limite cuenta_corriente  ...  valor_pago moroso\n",
 925 |               "0    6022               Si  ...      0.0000      1\n",
 926 |               "1   36132               Si  ...      0.0000      1\n",
 927 |               "2   27099               Si  ...    457.0698      0\n",
 928 |               "3   15055               Si  ...    602.2000      0\n",
 929 |               "4  150550               No  ...  16560.5000      0\n",
 930 |               "\n",
 931 |               "[5 rows x 8 columns]"
 932 |             ]
 933 |           },
 934 |           "metadata": {
 935 |             "tags": []
 936 |           },
 937 |           "execution_count": 15
 938 |         }
 939 |       ]
 940 |     },
 941 |     {
 942 |       "cell_type": "code",
 943 |       "metadata": {
 944 |         "id": "ODM-bcVsuA8W",
 945 |         "colab": {
 946 |           "base_uri": "https://localhost:8080/"
 947 |         },
 948 |         "outputId": "d452c84f-6908-4d10-d1ac-5366359245a4"
 949 |       },
 950 |       "source": [
 951 |         "tarjetas.escolaridad.unique()"
 952 |       ],
 953 |       "execution_count": null,
 954 |       "outputs": [
 955 |         {
 956 |           "output_type": "execute_result",
 957 |           "data": {
 958 |             "text/plain": [
 959 |               "array(['2.University', '3.Graduate School', '1.High School'], dtype=object)"
 960 |             ]
 961 |           },
 962 |           "metadata": {
 963 |             "tags": []
 964 |           },
 965 |           "execution_count": 16
 966 |         }
 967 |       ]
 968 |     },
 969 |     {
 970 |       "cell_type": "code",
 971 |       "metadata": {
 972 |         "id": "1h232Q4BuLN_"
 973 |       },
 974 |       "source": [
 975 |         "dic_escolaridad = {\n",
 976 |         "    '2.University' : '2.Universidad', \n",
 977 |         "    '3.Graduate School' : '3.Pos-graduación', \n",
 978 |         "    '1.High School' : '1.Colegio'\n",
 979 |         "}"
 980 |       ],
 981 |       "execution_count": null,
 982 |       "outputs": []
 983 |     },
 984 |     {
 985 |       "cell_type": "code",
 986 |       "metadata": {
 987 |         "id": "dieM3KbMueph"
 988 |       },
 989 |       "source": [
 990 |         "tarjetas.escolaridad = tarjetas.escolaridad.map(dic_escolaridad)"
 991 |       ],
 992 |       "execution_count": null,
 993 |       "outputs": []
 994 |     },
 995 |     {
 996 |       "cell_type": "code",
 997 |       "metadata": {
 998 |         "id": "3ify9XVPupUj",
 999 |         "colab": {
1000 |           "base_uri": "https://localhost:8080/"
1001 |         },
1002 |         "outputId": "5ad122af-512b-404c-fc21-469d9e51e5c7"
1003 |       },
1004 |       "source": [
1005 |         "tarjetas.head()"
1006 |       ],
1007 |       "execution_count": null,
1008 |       "outputs": [
1009 |         {
1010 |           "output_type": "execute_result",
1011 |           "data": {
1012 |             "text/html": [
1013 |               "<div>\n",
1014 |               "<style scoped>\n",
1015 |               "    .dataframe tbody tr th:only-of-type {\n",
1016 |               "        vertical-align: middle;\n",
1017 |               "    }\n",
1018 |               "\n",
1019 |               "    .dataframe tbody tr th {\n",
1020 |               "        vertical-align: top;\n",
1021 |               "    }\n",
1022 |               "\n",
1023 |               "    .dataframe thead th {\n",
1024 |               "        text-align: right;\n",
1025 |               "    }\n",
1026 |               "</style>\n",
1027 |               "<table border=\"1\" class=\"dataframe\">\n",
1028 |               "  <thead>\n",
1029 |               "    <tr style=\"text-align: right;\">\n",
1030 |               "      <th></th>\n",
1031 |               "      <th>limite</th>\n",
1032 |               "      <th>cuenta_corriente</th>\n",
1033 |               "      <th>escolaridad</th>\n",
1034 |               "      <th>estado_civil</th>\n",
1035 |               "      <th>edad</th>\n",
1036 |               "      <th>valor_factura</th>\n",
1037 |               "      <th>valor_pago</th>\n",
1038 |               "      <th>moroso</th>\n",
1039 |               "    </tr>\n",
1040 |               "  </thead>\n",
1041 |               "  <tbody>\n",
1042 |               "    <tr>\n",
1043 |               "      <th>0</th>\n",
1044 |               "      <td>6022</td>\n",
1045 |               "      <td>Si</td>\n",
1046 |               "      <td>2.Universidad</td>\n",
1047 |               "      <td>Married</td>\n",
1048 |               "      <td>24</td>\n",
1049 |               "      <td>934.0122</td>\n",
1050 |               "      <td>0.0000</td>\n",
1051 |               "      <td>1</td>\n",
1052 |               "    </tr>\n",
1053 |               "    <tr>\n",
1054 |               "      <th>1</th>\n",
1055 |               "      <td>36132</td>\n",
1056 |               "      <td>Si</td>\n",
1057 |               "      <td>2.Universidad</td>\n",
1058 |               "      <td>Single</td>\n",
1059 |               "      <td>26</td>\n",
1060 |               "      <td>519.3975</td>\n",
1061 |               "      <td>0.0000</td>\n",
1062 |               "      <td>1</td>\n",
1063 |               "    </tr>\n",
1064 |               "    <tr>\n",
1065 |               "      <th>2</th>\n",
1066 |               "      <td>27099</td>\n",
1067 |               "      <td>Si</td>\n",
1068 |               "      <td>2.Universidad</td>\n",
1069 |               "      <td>Single</td>\n",
1070 |               "      <td>34</td>\n",
1071 |               "      <td>4223.5297</td>\n",
1072 |               "      <td>457.0698</td>\n",
1073 |               "      <td>0</td>\n",
1074 |               "    </tr>\n",
1075 |               "    <tr>\n",
1076 |               "      <th>3</th>\n",
1077 |               "      <td>15055</td>\n",
1078 |               "      <td>Si</td>\n",
1079 |               "      <td>2.Universidad</td>\n",
1080 |               "      <td>Married</td>\n",
1081 |               "      <td>37</td>\n",
1082 |               "      <td>14522.9563</td>\n",
1083 |               "      <td>602.2000</td>\n",
1084 |               "      <td>0</td>\n",
1085 |               "    </tr>\n",
1086 |               "    <tr>\n",
1087 |               "      <th>4</th>\n",
1088 |               "      <td>150550</td>\n",
1089 |               "      <td>No</td>\n",
1090 |               "      <td>3.Pos-graduación</td>\n",
1091 |               "      <td>Single</td>\n",
1092 |               "      <td>29</td>\n",
1093 |               "      <td>124060.1253</td>\n",
1094 |               "      <td>16560.5000</td>\n",
1095 |               "      <td>0</td>\n",
1096 |               "    </tr>\n",
1097 |               "  </tbody>\n",
1098 |               "</table>\n",
1099 |               "</div>"
1100 |             ],
1101 |             "text/plain": [
1102 |               "   limite cuenta_corriente       escolaridad  ... valor_factura  valor_pago  moroso\n",
1103 |               "0    6022               Si     2.Universidad  ...      934.0122      0.0000       1\n",
1104 |               "1   36132               Si     2.Universidad  ...      519.3975      0.0000       1\n",
1105 |               "2   27099               Si     2.Universidad  ...     4223.5297    457.0698       0\n",
1106 |               "3   15055               Si     2.Universidad  ...    14522.9563    602.2000       0\n",
1107 |               "4  150550               No  3.Pos-graduación  ...   124060.1253  16560.5000       0\n",
1108 |               "\n",
1109 |               "[5 rows x 8 columns]"
1110 |             ]
1111 |           },
1112 |           "metadata": {
1113 |             "tags": []
1114 |           },
1115 |           "execution_count": 19
1116 |         }
1117 |       ]
1118 |     },
1119 |     {
1120 |       "cell_type": "code",
1121 |       "metadata": {
1122 |         "id": "34N9qdYAurjw",
1123 |         "colab": {
1124 |           "base_uri": "https://localhost:8080/"
1125 |         },
1126 |         "outputId": "82a6fb0a-5914-4db7-bc56-86889f19752c"
1127 |       },
1128 |       "source": [
1129 |         "tarjetas.estado_civil.unique()"
1130 |       ],
1131 |       "execution_count": null,
1132 |       "outputs": [
1133 |         {
1134 |           "output_type": "execute_result",
1135 |           "data": {
1136 |             "text/plain": [
1137 |               "array(['Married', 'Single'], dtype=object)"
1138 |             ]
1139 |           },
1140 |           "metadata": {
1141 |             "tags": []
1142 |           },
1143 |           "execution_count": 20
1144 |         }
1145 |       ]
1146 |     },
1147 |     {
1148 |       "cell_type": "code",
1149 |       "metadata": {
1150 |         "id": "6ZMt0Sv0u3BK"
1151 |       },
1152 |       "source": [
1153 |         "dic_estado_civil = {\n",
1154 |         "    'Married' : 'Casado/a', \n",
1155 |         "    'Single' : 'Soltero/a'\n",
1156 |         "}"
1157 |       ],
1158 |       "execution_count": null,
1159 |       "outputs": []
1160 |     },
1161 |     {
1162 |       "cell_type": "code",
1163 |       "metadata": {
1164 |         "id": "Al0kuxS7vD2y"
1165 |       },
1166 |       "source": [
1167 |         "tarjetas.estado_civil = tarjetas.estado_civil.map(dic_estado_civil)"
1168 |       ],
1169 |       "execution_count": null,
1170 |       "outputs": []
1171 |     },
1172 |     {
1173 |       "cell_type": "code",
1174 |       "metadata": {
1175 |         "id": "rjFHY1rXvNq1",
1176 |         "colab": {
1177 |           "base_uri": "https://localhost:8080/"
1178 |         },
1179 |         "outputId": "dbb66397-f748-46db-cdc6-64679fac5577"
1180 |       },
1181 |       "source": [
1182 |         "tarjetas.head()"
1183 |       ],
1184 |       "execution_count": null,
1185 |       "outputs": [
1186 |         {
1187 |           "output_type": "execute_result",
1188 |           "data": {
1189 |             "text/html": [
1190 |               "<div>\n",
1191 |               "<style scoped>\n",
1192 |               "    .dataframe tbody tr th:only-of-type {\n",
1193 |               "        vertical-align: middle;\n",
1194 |               "    }\n",
1195 |               "\n",
1196 |               "    .dataframe tbody tr th {\n",
1197 |               "        vertical-align: top;\n",
1198 |               "    }\n",
1199 |               "\n",
1200 |               "    .dataframe thead th {\n",
1201 |               "        text-align: right;\n",
1202 |               "    }\n",
1203 |               "</style>\n",
1204 |               "<table border=\"1\" class=\"dataframe\">\n",
1205 |               "  <thead>\n",
1206 |               "    <tr style=\"text-align: right;\">\n",
1207 |               "      <th></th>\n",
1208 |               "      <th>limite</th>\n",
1209 |               "      <th>cuenta_corriente</th>\n",
1210 |               "      <th>escolaridad</th>\n",
1211 |               "      <th>estado_civil</th>\n",
1212 |               "      <th>edad</th>\n",
1213 |               "      <th>valor_factura</th>\n",
1214 |               "      <th>valor_pago</th>\n",
1215 |               "      <th>moroso</th>\n",
1216 |               "    </tr>\n",
1217 |               "  </thead>\n",
1218 |               "  <tbody>\n",
1219 |               "    <tr>\n",
1220 |               "      <th>0</th>\n",
1221 |               "      <td>6022</td>\n",
1222 |               "      <td>Si</td>\n",
1223 |               "      <td>2.Universidad</td>\n",
1224 |               "      <td>Casado/a</td>\n",
1225 |               "      <td>24</td>\n",
1226 |               "      <td>934.0122</td>\n",
1227 |               "      <td>0.0000</td>\n",
1228 |               "      <td>1</td>\n",
1229 |               "    </tr>\n",
1230 |               "    <tr>\n",
1231 |               "      <th>1</th>\n",
1232 |               "      <td>36132</td>\n",
1233 |               "      <td>Si</td>\n",
1234 |               "      <td>2.Universidad</td>\n",
1235 |               "      <td>Soltero/a</td>\n",
1236 |               "      <td>26</td>\n",
1237 |               "      <td>519.3975</td>\n",
1238 |               "      <td>0.0000</td>\n",
1239 |               "      <td>1</td>\n",
1240 |               "    </tr>\n",
1241 |               "    <tr>\n",
1242 |               "      <th>2</th>\n",
1243 |               "      <td>27099</td>\n",
1244 |               "      <td>Si</td>\n",
1245 |               "      <td>2.Universidad</td>\n",
1246 |               "      <td>Soltero/a</td>\n",
1247 |               "      <td>34</td>\n",
1248 |               "      <td>4223.5297</td>\n",
1249 |               "      <td>457.0698</td>\n",
1250 |               "      <td>0</td>\n",
1251 |               "    </tr>\n",
1252 |               "    <tr>\n",
1253 |               "      <th>3</th>\n",
1254 |               "      <td>15055</td>\n",
1255 |               "      <td>Si</td>\n",
1256 |               "      <td>2.Universidad</td>\n",
1257 |               "      <td>Casado/a</td>\n",
1258 |               "      <td>37</td>\n",
1259 |               "      <td>14522.9563</td>\n",
1260 |               "      <td>602.2000</td>\n",
1261 |               "      <td>0</td>\n",
1262 |               "    </tr>\n",
1263 |               "    <tr>\n",
1264 |               "      <th>4</th>\n",
1265 |               "      <td>150550</td>\n",
1266 |               "      <td>No</td>\n",
1267 |               "      <td>3.Pos-graduación</td>\n",
1268 |               "      <td>Soltero/a</td>\n",
1269 |               "      <td>29</td>\n",
1270 |               "      <td>124060.1253</td>\n",
1271 |               "      <td>16560.5000</td>\n",
1272 |               "      <td>0</td>\n",
1273 |               "    </tr>\n",
1274 |               "  </tbody>\n",
1275 |               "</table>\n",
1276 |               "</div>"
1277 |             ],
1278 |             "text/plain": [
1279 |               "   limite cuenta_corriente       escolaridad  ... valor_factura  valor_pago  moroso\n",
1280 |               "0    6022               Si     2.Universidad  ...      934.0122      0.0000       1\n",
1281 |               "1   36132               Si     2.Universidad  ...      519.3975      0.0000       1\n",
1282 |               "2   27099               Si     2.Universidad  ...     4223.5297    457.0698       0\n",
1283 |               "3   15055               Si     2.Universidad  ...    14522.9563    602.2000       0\n",
1284 |               "4  150550               No  3.Pos-graduación  ...   124060.1253  16560.5000       0\n",
1285 |               "\n",
1286 |               "[5 rows x 8 columns]"
1287 |             ]
1288 |           },
1289 |           "metadata": {
1290 |             "tags": []
1291 |           },
1292 |           "execution_count": 23
1293 |         }
1294 |       ]
1295 |     }
1296 |   ]
1297 | }


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