rbc_notebook_sprint3.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1 style='color:#00868b'>Read, balance and clean dataset<span class=\"tocSkip\"></span></h1>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Start"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"complaints-2020-01-22_08_24.csv\", encoding=\"utf-8\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "\n",
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       "    }\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>Date received</th>\n",
       "      <th>Product</th>\n",
       "      <th>Sub-product</th>\n",
       "      <th>Issue</th>\n",
       "      <th>Sub-issue</th>\n",
       "      <th>Consumer complaint narrative</th>\n",
       "      <th>Company public response</th>\n",
       "      <th>Company</th>\n",
       "      <th>State</th>\n",
       "      <th>ZIP code</th>\n",
       "      <th>Tags</th>\n",
       "      <th>Consumer consent provided?</th>\n",
       "      <th>Submitted via</th>\n",
       "      <th>Date sent to company</th>\n",
       "      <th>Company response to consumer</th>\n",
       "      <th>Timely response?</th>\n",
       "      <th>Consumer disputed?</th>\n",
       "      <th>Complaint ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>07/23/19</td>\n",
       "      <td>Credit reporting, credit repair services, or o...</td>\n",
       "      <td>Credit reporting</td>\n",
       "      <td>Credit monitoring or identity theft protection...</td>\n",
       "      <td>Problem canceling credit monitoring or identif...</td>\n",
       "      <td>I have complained many times that the credit r...</td>\n",
       "      <td>Company has responded to the consumer and the ...</td>\n",
       "      <td>Experian Information Solutions Inc.</td>\n",
       "      <td>CA</td>\n",
       "      <td>926XX</td>\n",
       "      <td>None</td>\n",
       "      <td>Consent provided</td>\n",
       "      <td>Web</td>\n",
       "      <td>07/23/19</td>\n",
       "      <td>Closed with explanation</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3315279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>07/26/19</td>\n",
       "      <td>Debt collection</td>\n",
       "      <td>I do not know</td>\n",
       "      <td>False statements or representation</td>\n",
       "      <td>Attempted to collect wrong amount</td>\n",
       "      <td>please review the current fraud account and al...</td>\n",
       "      <td>Company believes it acted appropriately as aut...</td>\n",
       "      <td>Ideal Collection Services, Inc.</td>\n",
       "      <td>FL</td>\n",
       "      <td>333XX</td>\n",
       "      <td>None</td>\n",
       "      <td>Consent provided</td>\n",
       "      <td>Web</td>\n",
       "      <td>07/26/19</td>\n",
       "      <td>Closed with explanation</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3319487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>06/03/19</td>\n",
       "      <td>Debt collection</td>\n",
       "      <td>I do not know</td>\n",
       "      <td>Attempts to collect debt not owed</td>\n",
       "      <td>Debt was paid</td>\n",
       "      <td>Called multiple times over the years for a deb...</td>\n",
       "      <td>None</td>\n",
       "      <td>ONEMAIN FINANCIAL HOLDINGS, LLC.</td>\n",
       "      <td>FL</td>\n",
       "      <td>327XX</td>\n",
       "      <td>None</td>\n",
       "      <td>Consent provided</td>\n",
       "      <td>Web</td>\n",
       "      <td>06/07/19</td>\n",
       "      <td>Closed with explanation</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3262794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>07/03/19</td>\n",
       "      <td>Debt collection</td>\n",
       "      <td>Other debt</td>\n",
       "      <td>Attempts to collect debt not owed</td>\n",
       "      <td>Debt was result of identity theft</td>\n",
       "      <td>I sent in a letter to the company to have them...</td>\n",
       "      <td>None</td>\n",
       "      <td>Diversified Consultants, Inc.</td>\n",
       "      <td>VA</td>\n",
       "      <td>232XX</td>\n",
       "      <td>None</td>\n",
       "      <td>Consent provided</td>\n",
       "      <td>Web</td>\n",
       "      <td>07/03/19</td>\n",
       "      <td>Closed with explanation</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3295208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>07/14/19</td>\n",
       "      <td>Credit reporting, credit repair services, or o...</td>\n",
       "      <td>Credit reporting</td>\n",
       "      <td>Improper use of your report</td>\n",
       "      <td>Received unsolicited financial product or insu...</td>\n",
       "      <td>On XX/XX/19 I applied for a Debt Relief Produc...</td>\n",
       "      <td>None</td>\n",
       "      <td>ClearOne Advantage, LLC</td>\n",
       "      <td>PA</td>\n",
       "      <td>191XX</td>\n",
       "      <td>Older American, Servicemember</td>\n",
       "      <td>Consent provided</td>\n",
       "      <td>Web</td>\n",
       "      <td>07/18/19</td>\n",
       "      <td>Closed with explanation</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3306130</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Date received                                            Product  \\\n",
       "0      07/23/19  Credit reporting, credit repair services, or o...   \n",
       "1      07/26/19                                    Debt collection   \n",
       "2      06/03/19                                    Debt collection   \n",
       "3      07/03/19                                    Debt collection   \n",
       "4      07/14/19  Credit reporting, credit repair services, or o...   \n",
       "\n",
       "        Sub-product                                              Issue  \\\n",
       "0  Credit reporting  Credit monitoring or identity theft protection...   \n",
       "1     I do not know                 False statements or representation   \n",
       "2     I do not know                  Attempts to collect debt not owed   \n",
       "3        Other debt                  Attempts to collect debt not owed   \n",
       "4  Credit reporting                        Improper use of your report   \n",
       "\n",
       "                                           Sub-issue  \\\n",
       "0  Problem canceling credit monitoring or identif...   \n",
       "1                  Attempted to collect wrong amount   \n",
       "2                                      Debt was paid   \n",
       "3                  Debt was result of identity theft   \n",
       "4  Received unsolicited financial product or insu...   \n",
       "\n",
       "                        Consumer complaint narrative  \\\n",
       "0  I have complained many times that the credit r...   \n",
       "1  please review the current fraud account and al...   \n",
       "2  Called multiple times over the years for a deb...   \n",
       "3  I sent in a letter to the company to have them...   \n",
       "4  On XX/XX/19 I applied for a Debt Relief Produc...   \n",
       "\n",
       "                             Company public response  \\\n",
       "0  Company has responded to the consumer and the ...   \n",
       "1  Company believes it acted appropriately as aut...   \n",
       "2                                               None   \n",
       "3                                               None   \n",
       "4                                               None   \n",
       "\n",
       "                               Company State ZIP code  \\\n",
       "0  Experian Information Solutions Inc.    CA    926XX   \n",
       "1      Ideal Collection Services, Inc.    FL    333XX   \n",
       "2     ONEMAIN FINANCIAL HOLDINGS, LLC.    FL    327XX   \n",
       "3        Diversified Consultants, Inc.    VA    232XX   \n",
       "4              ClearOne Advantage, LLC    PA    191XX   \n",
       "\n",
       "                            Tags Consumer consent provided? Submitted via  \\\n",
       "0                           None           Consent provided           Web   \n",
       "1                           None           Consent provided           Web   \n",
       "2                           None           Consent provided           Web   \n",
       "3                           None           Consent provided           Web   \n",
       "4  Older American, Servicemember           Consent provided           Web   \n",
       "\n",
       "  Date sent to company Company response to consumer Timely response?  \\\n",
       "0             07/23/19      Closed with explanation              Yes   \n",
       "1             07/26/19      Closed with explanation              Yes   \n",
       "2             06/07/19      Closed with explanation              Yes   \n",
       "3             07/03/19      Closed with explanation              Yes   \n",
       "4             07/18/19      Closed with explanation              Yes   \n",
       "\n",
       "  Consumer disputed?  Complaint ID  \n",
       "0                NaN       3315279  \n",
       "1                NaN       3319487  \n",
       "2                NaN       3262794  \n",
       "3                NaN       3295208  \n",
       "4                NaN       3306130  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'I noticed a collection debt appear on my credit report earlier this week ( XX/XX/18 ). I XXXX XXXX the name of the company and looked up their website - I have never received anything in writing nor any phone calls ( that resulted in a voicemail - I do not answer calls from unknown numbers ) from this company about this debt. I contacted their settlement department via e-mail using the e-mail address on their website requesting more information about the debt owed, but have not received a response. I have no way to pay the debt if they do not send me the account information that is required for their website, which means it will remain on my credit report until it is sorted out.'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Consumer complaint narrative\"][45144]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(485701, 18)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data preprocessing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Balancing the dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will now balance the dataset, however leaving in outliers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'categories')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "diff_products = df.groupby(\"Product\")[\"Product\"].count().sort_values(ascending=False)\n",
    "fig = plt.figure()\n",
    "plt.rcParams['figure.figsize'] = [30,15]\n",
    "ax = fig.add_axes([0,0,0.4,0.5])\n",
    "\n",
    "ax.barh(diff_products.index,diff_products,color='teal')\n",
    "ax.invert_yaxis()\n",
    "plt.title('Complaints per Products')\n",
    "plt.xlabel('amount')\n",
    "plt.ylabel('categories')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Product\n",
      "Credit reporting, credit repair services, or other personal consumer reports    141742\n",
      "Debt collection                                                                 105765\n",
      "Mortgage                                                                         61094\n",
      "Credit reporting                                                                 31588\n",
      "Credit card or prepaid card                                                      31482\n",
      "Student loan                                                                     24930\n",
      "Credit card                                                                      18838\n",
      "Checking or savings account                                                      18784\n",
      "Bank account or service                                                          14885\n",
      "Consumer Loan                                                                     9473\n",
      "Vehicle loan or lease                                                             8079\n",
      "Money transfer, virtual currency, or money service                                7735\n",
      "Payday loan, title loan, or personal loan                                         6305\n",
      "Payday loan                                                                       1746\n",
      "Money transfers                                                                   1497\n",
      "Prepaid card                                                                      1450\n",
      "Other financial service                                                            292\n",
      "Virtual currency                                                                    16\n",
      "Name: Product, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(diff_products)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_bal1 = df.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Clearly, the first three **Products** are overwhelming present."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "indexNames = df_bal1[df_bal1[\"Product\"] == \"Credit reporting, credit repair services, or other personal consumer reports\"].index\n",
    "df_bal1.drop(indexNames, inplace=True)\n",
    "indexNames = df_bal1[df_bal1[\"Product\"] == \"Debt collection\"].index\n",
    "df_bal1.drop(indexNames, inplace=True)\n",
    "indexNames = df_bal1[df_bal1[\"Product\"] == \"Mortgage\"].index\n",
    "df_bal1.drop(indexNames, inplace=True)\n",
    "\n",
    "\n",
    "df_bal1 = df_bal1.append(df.loc[df[\"Product\"] == 'Credit reporting, credit repair services, or other personal consumer reports'].sample(frac=0.3))\n",
    "df_bal1 = df_bal1.append(df.loc[df[\"Product\"] == 'Debt collection'].sample(frac=0.3))\n",
    "df_bal1 = df_bal1.append(df.loc[df[\"Product\"] == 'Mortgage'].sample(frac=0.5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'categories')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "diff_products = df_bal1.groupby(\"Product\")[\"Product\"].count().sort_values(ascending=False)\n",
    "fig = plt.figure()\n",
    "plt.rcParams['figure.figsize'] = [30,15]\n",
    "ax = fig.add_axes([0,0,0.4,0.5])\n",
    "\n",
    "ax.barh(diff_products.index,diff_products,color='teal')\n",
    "ax.invert_yaxis()\n",
    "plt.title('Complaints per Products')\n",
    "plt.xlabel('amount')\n",
    "plt.ylabel('categories')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_bal2 = df_bal1.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Product\n",
      "Credit reporting, credit repair services, or other personal consumer reports    42523\n",
      "Debt collection                                                                 31730\n",
      "Credit reporting                                                                31588\n",
      "Credit card or prepaid card                                                     31482\n",
      "Mortgage                                                                        30547\n",
      "Student loan                                                                    24930\n",
      "Credit card                                                                     18838\n",
      "Checking or savings account                                                     18784\n",
      "Bank account or service                                                         14885\n",
      "Consumer Loan                                                                    9473\n",
      "Vehicle loan or lease                                                            8079\n",
      "Money transfer, virtual currency, or money service                               7735\n",
      "Payday loan, title loan, or personal loan                                        6305\n",
      "Payday loan                                                                      1746\n",
      "Money transfers                                                                  1497\n",
      "Prepaid card                                                                     1450\n",
      "Other financial service                                                           292\n",
      "Virtual currency                                                                   16\n",
      "Name: Product, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(diff_products)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "indexNames = df_bal2[df_bal2[\"Product\"] == \"Credit reporting, credit repair services, or other personal consumer reports\"].index\n",
    "df_bal2.drop(indexNames, inplace=True)\n",
    "indexNames = df_bal2[df_bal2[\"Product\"] == \"Debt collection\"].index\n",
    "df_bal2.drop(indexNames, inplace=True)\n",
    "indexNames = df_bal2[df_bal2[\"Product\"] == \"Credit reporting\"].index\n",
    "df_bal2.drop(indexNames, inplace=True)\n",
    "indexNames = df_bal2[df_bal2[\"Product\"] == \"Credit card or prepaid card\"].index\n",
    "df_bal2.drop(indexNames, inplace=True)\n",
    "indexNames = df_bal2[df_bal2[\"Product\"] == \"Mortgage\"].index\n",
    "df_bal2.drop(indexNames, inplace=True)\n",
    "indexNames = df_bal2[df_bal2[\"Product\"] == \"Student loan\"].index\n",
    "df_bal2.drop(indexNames, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_bal2 = df_bal2.append(df_bal1.loc[df_bal1[\"Product\"] == 'Credit reporting, credit repair services, or other personal consumer reports'].sample(frac=0.45))\n",
    "df_bal2 = df_bal2.append(df_bal1.loc[df_bal1[\"Product\"] == 'Debt collection'].sample(frac=0.55))\n",
    "df_bal2 = df_bal2.append(df_bal1.loc[df_bal1[\"Product\"] == 'Credit reporting'].sample(frac=0.55))\n",
    "df_bal2 = df_bal2.append(df_bal1.loc[df_bal1[\"Product\"] == 'Credit card or prepaid card'].sample(frac=0.55))\n",
    "df_bal2 = df_bal2.append(df_bal1.loc[df_bal1[\"Product\"] == 'Mortgage'].sample(frac=0.58))\n",
    "df_bal2 = df_bal2.append(df_bal1.loc[df_bal1[\"Product\"] == 'Student loan'].sample(frac=0.6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'categories')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "diff_products = df_bal2.groupby(\"Product\")[\"Product\"].count().sort_values(ascending=False)\n",
    "fig = plt.figure()\n",
    "plt.rcParams['figure.figsize'] = [30,15]\n",
    "ax = fig.add_axes([0,0,0.4,0.5])\n",
    "\n",
    "ax.barh(diff_products.index,diff_products,color='teal')\n",
    "ax.invert_yaxis()\n",
    "plt.title('Complaints per Products')\n",
    "plt.xlabel('amount')\n",
    "plt.ylabel('categories')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_bal3 = df_bal2.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Product\n",
      "Credit reporting, credit repair services, or other personal consumer reports    19135\n",
      "Credit card                                                                     18838\n",
      "Checking or savings account                                                     18784\n",
      "Mortgage                                                                        17717\n",
      "Debt collection                                                                 17452\n",
      "Credit reporting                                                                17373\n",
      "Credit card or prepaid card                                                     17315\n",
      "Student loan                                                                    14958\n",
      "Bank account or service                                                         14885\n",
      "Consumer Loan                                                                    9473\n",
      "Vehicle loan or lease                                                            8079\n",
      "Money transfer, virtual currency, or money service                               7735\n",
      "Payday loan, title loan, or personal loan                                        6305\n",
      "Payday loan                                                                      1746\n",
      "Money transfers                                                                  1497\n",
      "Prepaid card                                                                     1450\n",
      "Other financial service                                                           292\n",
      "Virtual currency                                                                   16\n",
      "Name: Product, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(diff_products)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "indexNames = df_bal3[df_bal3[\"Product\"] == \"Credit reporting, credit repair services, or other personal consumer reports\"].index\n",
    "df_bal3.drop(indexNames, inplace=True)\n",
    "indexNames = df_bal3[df_bal3[\"Product\"] == \"Credit card\"].index\n",
    "df_bal3.drop(indexNames, inplace=True)\n",
    "indexNames = df_bal3[df_bal3[\"Product\"] == \"Checking or savings account\"].index\n",
    "df_bal3.drop(indexNames, inplace=True)\n",
    "indexNames = df_bal3[df_bal3[\"Product\"] == \"Mortgage\"].index\n",
    "df_bal3.drop(indexNames, inplace=True)\n",
    "indexNames = df_bal3[df_bal3[\"Product\"] == \"Debt collection\"].index\n",
    "df_bal3.drop(indexNames, inplace=True)\n",
    "indexNames = df_bal3[df_bal3[\"Product\"] == \"Credit reporting\"].index\n",
    "df_bal3.drop(indexNames, inplace=True)\n",
    "indexNames = df_bal3[df_bal3[\"Product\"] == \"Credit card or prepaid card\"].index\n",
    "df_bal3.drop(indexNames, inplace=True)\n",
    "indexNames = df_bal3[df_bal3[\"Product\"] == \"Student loan\"].index\n",
    "df_bal3.drop(indexNames, inplace=True)\n",
    "indexNames = df_bal3[df_bal3[\"Product\"] == \"Bank account or service\"].index\n",
    "df_bal3.drop(indexNames, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_bal3 = df_bal3.append(df_bal2.loc[df_bal2[\"Product\"] == 'Credit reporting, credit repair services, or other personal consumer reports'].sample(n=10000))\n",
    "df_bal3 = df_bal3.append(df_bal2.loc[df_bal2[\"Product\"] == 'Credit card'].sample(n=10000))\n",
    "df_bal3 = df_bal3.append(df_bal2.loc[df_bal2[\"Product\"] == 'Checking or savings account'].sample(n=10000))\n",
    "df_bal3 = df_bal3.append(df_bal2.loc[df_bal2[\"Product\"] == 'Mortgage'].sample(n=10000))\n",
    "df_bal3 = df_bal3.append(df_bal2.loc[df_bal2[\"Product\"] == 'Debt collection'].sample(n=10000))\n",
    "df_bal3 = df_bal3.append(df_bal2.loc[df_bal2[\"Product\"] == 'Credit reporting'].sample(n=10000))\n",
    "df_bal3 = df_bal3.append(df_bal2.loc[df_bal2[\"Product\"] == 'Credit card or prepaid card'].sample(n=10000))\n",
    "df_bal3 = df_bal3.append(df_bal2.loc[df_bal2[\"Product\"] == 'Student loan'].sample(n=10000))\n",
    "df_bal3 = df_bal3.append(df_bal2.loc[df_bal2[\"Product\"] == 'Bank account or service'].sample(n=10000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'categories')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "diff_products = df_bal3.groupby(\"Product\")[\"Product\"].count().sort_values(ascending=False)\n",
    "fig = plt.figure()\n",
    "plt.rcParams['figure.figsize'] = [30,15]\n",
    "ax = fig.add_axes([0,0,0.4,0.5])\n",
    "\n",
    "ax.barh(diff_products.index,diff_products,color='teal')\n",
    "ax.invert_yaxis()\n",
    "plt.title('Complaints per Products')\n",
    "plt.xlabel('amount')\n",
    "plt.ylabel('categories')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df_bal3.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Shape:**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(126593, 18)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>Date received</th>\n",
       "      <th>Product</th>\n",
       "      <th>Sub-product</th>\n",
       "      <th>Issue</th>\n",
       "      <th>Sub-issue</th>\n",
       "      <th>Consumer complaint narrative</th>\n",
       "      <th>Company public response</th>\n",
       "      <th>Company</th>\n",
       "      <th>State</th>\n",
       "      <th>ZIP code</th>\n",
       "      <th>Tags</th>\n",
       "      <th>Consumer consent provided?</th>\n",
       "      <th>Submitted via</th>\n",
       "      <th>Date sent to company</th>\n",
       "      <th>Company response to consumer</th>\n",
       "      <th>Timely response?</th>\n",
       "      <th>Consumer disputed?</th>\n",
       "      <th>Complaint ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>06/15/19</td>\n",
       "      <td>Payday loan, title loan, or personal loan</td>\n",
       "      <td>Installment loan</td>\n",
       "      <td>Problem with the payoff process at the end of ...</td>\n",
       "      <td>None</td>\n",
       "      <td>They would not let me pay my loan off 2 days b...</td>\n",
       "      <td>None</td>\n",
       "      <td>Big Picture Loans, LLC</td>\n",
       "      <td>IN</td>\n",
       "      <td>477XX</td>\n",
       "      <td>None</td>\n",
       "      <td>Consent provided</td>\n",
       "      <td>Web</td>\n",
       "      <td>06/15/19</td>\n",
       "      <td>Closed with explanation</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3276316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>07/25/19</td>\n",
       "      <td>Payday loan, title loan, or personal loan</td>\n",
       "      <td>Installment loan</td>\n",
       "      <td>Charged fees or interest you didn't expect</td>\n",
       "      <td>None</td>\n",
       "      <td>Service Finance are liars and are charging me ...</td>\n",
       "      <td>None</td>\n",
       "      <td>Service Finance Holdings, LLC</td>\n",
       "      <td>TX</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Consent provided</td>\n",
       "      <td>Web</td>\n",
       "      <td>07/25/19</td>\n",
       "      <td>Closed with non-monetary relief</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3318533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>06/23/19</td>\n",
       "      <td>Vehicle loan or lease</td>\n",
       "      <td>Loan</td>\n",
       "      <td>Problems at the end of the loan or lease</td>\n",
       "      <td>Problem with paying off the loan</td>\n",
       "      <td>On XX/XX/XXXX I signed a car loan agreement to...</td>\n",
       "      <td>None</td>\n",
       "      <td>HUNTINGTON NATIONAL BANK, THE</td>\n",
       "      <td>TX</td>\n",
       "      <td>750XX</td>\n",
       "      <td>None</td>\n",
       "      <td>Consent provided</td>\n",
       "      <td>Web</td>\n",
       "      <td>06/23/19</td>\n",
       "      <td>Closed with non-monetary relief</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3284279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>08/13/19</td>\n",
       "      <td>Money transfer, virtual currency, or money ser...</td>\n",
       "      <td>Debt settlement</td>\n",
       "      <td>Fraud or scam</td>\n",
       "      <td>None</td>\n",
       "      <td>We hired XXXX XXXX and XXXX XXXX XXXX Debt Col...</td>\n",
       "      <td>None</td>\n",
       "      <td>ALLIED NATIONAL INC</td>\n",
       "      <td>NY</td>\n",
       "      <td>117XX</td>\n",
       "      <td>None</td>\n",
       "      <td>Consent provided</td>\n",
       "      <td>Web</td>\n",
       "      <td>08/13/19</td>\n",
       "      <td>Untimely response</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3339246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>07/31/19</td>\n",
       "      <td>Payday loan, title loan, or personal loan</td>\n",
       "      <td>Payday loan</td>\n",
       "      <td>Problem with the payoff process at the end of ...</td>\n",
       "      <td>None</td>\n",
       "      <td>I BORROWED {$200.00}, IN AN FINANCIAL EMERGENC...</td>\n",
       "      <td>Company believes it acted appropriately as aut...</td>\n",
       "      <td>Harpeth Financial Services, LLC</td>\n",
       "      <td>TN</td>\n",
       "      <td>None</td>\n",
       "      <td>Servicemember</td>\n",
       "      <td>Consent provided</td>\n",
       "      <td>Web</td>\n",
       "      <td>08/02/19</td>\n",
       "      <td>Closed with explanation</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3324772</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Date received                                            Product  \\\n",
       "9       06/15/19          Payday loan, title loan, or personal loan   \n",
       "12      07/25/19          Payday loan, title loan, or personal loan   \n",
       "38      06/23/19                              Vehicle loan or lease   \n",
       "44      08/13/19  Money transfer, virtual currency, or money ser...   \n",
       "52      07/31/19          Payday loan, title loan, or personal loan   \n",
       "\n",
       "         Sub-product                                              Issue  \\\n",
       "9   Installment loan  Problem with the payoff process at the end of ...   \n",
       "12  Installment loan         Charged fees or interest you didn't expect   \n",
       "38              Loan           Problems at the end of the loan or lease   \n",
       "44   Debt settlement                                      Fraud or scam   \n",
       "52       Payday loan  Problem with the payoff process at the end of ...   \n",
       "\n",
       "                           Sub-issue  \\\n",
       "9                               None   \n",
       "12                              None   \n",
       "38  Problem with paying off the loan   \n",
       "44                              None   \n",
       "52                              None   \n",
       "\n",
       "                         Consumer complaint narrative  \\\n",
       "9   They would not let me pay my loan off 2 days b...   \n",
       "12  Service Finance are liars and are charging me ...   \n",
       "38  On XX/XX/XXXX I signed a car loan agreement to...   \n",
       "44  We hired XXXX XXXX and XXXX XXXX XXXX Debt Col...   \n",
       "52  I BORROWED {$200.00}, IN AN FINANCIAL EMERGENC...   \n",
       "\n",
       "                              Company public response  \\\n",
       "9                                                None   \n",
       "12                                               None   \n",
       "38                                               None   \n",
       "44                                               None   \n",
       "52  Company believes it acted appropriately as aut...   \n",
       "\n",
       "                            Company State ZIP code           Tags  \\\n",
       "9            Big Picture Loans, LLC    IN    477XX           None   \n",
       "12    Service Finance Holdings, LLC    TX     None           None   \n",
       "38    HUNTINGTON NATIONAL BANK, THE    TX    750XX           None   \n",
       "44              ALLIED NATIONAL INC    NY    117XX           None   \n",
       "52  Harpeth Financial Services, LLC    TN     None  Servicemember   \n",
       "\n",
       "   Consumer consent provided? Submitted via Date sent to company  \\\n",
       "9            Consent provided           Web             06/15/19   \n",
       "12           Consent provided           Web             07/25/19   \n",
       "38           Consent provided           Web             06/23/19   \n",
       "44           Consent provided           Web             08/13/19   \n",
       "52           Consent provided           Web             08/02/19   \n",
       "\n",
       "       Company response to consumer Timely response? Consumer disputed?  \\\n",
       "9           Closed with explanation              Yes                NaN   \n",
       "12  Closed with non-monetary relief              Yes                NaN   \n",
       "38  Closed with non-monetary relief              Yes                NaN   \n",
       "44                Untimely response               No                NaN   \n",
       "52          Closed with explanation              Yes                NaN   \n",
       "\n",
       "    Complaint ID  \n",
       "9        3276316  \n",
       "12       3318533  \n",
       "38       3284279  \n",
       "44       3339246  \n",
       "52       3324772  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cleaning the dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Example of uncleaned comment:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'I BORROWED {$200.00}, IN AN FINANCIAL EMERGENCY, FROM XXXX XXXX XXXX OFFICE IN XXXX, TN, ON XX/XX/2019. THEN ON XXXX XXXX ; AT XXXX XXXX XXXX XXXX, XXXX, XXXX XXXX, IN XXXX XXXX, TN XXXX ; I WAS TOLD MY PAYOFF IS {$210.00}, SO I PAID {$210.00}. HOWEVER, I HAVE BEEN CHARGED MUCH MORE THAN {$210.00}, ON XXXX XXXX, I PAID OFF THE LOAN IN PERSON AND MY CHECKING ACCOUNT WAS ALSO DOUBLE BILLED /CHARGED ANOTHER {$45.00}, IN XXXX , TN. \\nTODAY XX/XX/2019 I WENT INTO THE XXXX   XXXX OFFICE, IN XXXX, TN AND ASKED FOR THE REIMBURSEMENT OF MY OVERBILLED MONIES AND THE CLERK NAMED \" XXXX \\'\\' REFUSED TO REFUND MY {$45.00} OVER/ DOUBLE BILLED CHARGES! \\n\\nXXXX THREATENED TO HAVE ME ARRESTED IF I DID NOT LET THE OFFICE KEEP THE MONIES. MY LOAN OF {$200.00} WAS JUST FOR 40 DAYS, I WAS FORCED TO PAY A TOTAL OF {$260.00}. \\nI WAS OVERBILLED/ DOUBLE BILLED {$45.00}'"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Consumer complaint narrative\"][52]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "import string\n",
    "\n",
    "def clean_document(complaint):\n",
    "    # turn text to lowercase\n",
    "    complaint = complaint.lower()\n",
    "    # remove URLs\n",
    "    complaint = re.sub('https?://(?:[-\\w.]|(?:%[\\da-fA-F]{2}))+', '', complaint)\n",
    "    complaint = re.sub('https? ?: ?// ?(?:[-\\w.]|(?:%[\\da-fA-F]{2}))+', '', complaint)\n",
    "    # removed censored words\n",
    "    complaint = re.sub('[xxxx]{4}', '', complaint)\n",
    "    complaint = re.sub('[XXXX]{4}', '', complaint)\n",
    "    # remove normal dates and censored dates\n",
    "    complaint = re.sub('[\\dx]{0,2}/?[\\dx]{0,2}/[\\dx]{0,4}', '', complaint)\n",
    "    # remove non-sensical characters\n",
    "    complaint = re.sub('[\\[\\,\\#\\'\\\"\\_\\-\\(\\)\\:\\$\\;\\?\\%\\}\\{\\@\\]\\/\\.\\&\\!\\|]',' ', complaint)\n",
    "    complaint = re.sub('\\n', '', complaint)\n",
    "    complaint = re.sub('\\t', '', complaint)\n",
    "    # remove numbers\n",
    "    complaint = re.sub('[\\d]', ' ', complaint)\n",
    "    # normalise spaces to just one space\n",
    "    complaint = re.sub(\" +\", \" \", complaint);\n",
    "    return complaint\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"Consumer complaint narrative\"] = df[\"Consumer complaint narrative\"].apply(clean_document)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Example of cleaned comment:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'i borrowed in an financial emergency from office in tn on then on at in tn i was told my payoff is so i paid however i have been charged much more than on i paid off the loan in person and my checking account was also double billed charged another in tn today i went into the office in tn and asked for the reimbursement of my overbilled monies and the clerk named refused to refund my over double billed charges threatened to have me arrested if i did not let the office keep the monies my loan of was just for days i was forced to pay a total of i was overbilled double billed '"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Consumer complaint narrative\"][52]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Export to CSV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(\"corpus_sprint3_balanced_cleaned_all.csv\", index=True, index_label='Row No')"
   ]
  }
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