02_descriptives.ipynb

{
 "cells": [
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   "cell_type": "code",
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   "id": "95b98a76-b511-4640-99ea-74205d2f5d71",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Modify the file 00_setup.py to define input/output file paths on your system\n",
    "# The information in 00_setup.py will be used across notebooks\n",
    "from importlib.machinery import SourceFileLoader\n",
    "setup = SourceFileLoader(\"setup\", \"./00_setup.py\").load_module()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f4fa0e4-4816-46dd-bfd9-5aafef418830",
   "metadata": {},
   "source": [
    "# Descriptives\n",
    "Data exploration and basic descriptives, including:\n",
    " * Name and franchise code (non independent observations)\n",
    " * Bank\n",
    " * Correlations"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "593979fa-4590-4455-a4a5-a2974c6a14b6",
   "metadata": {},
   "source": [
    "I do not do extensive data exploration but instead use others' insights from various\n",
    "Kaggle projects, especially:\n",
    "* https://www.kaggle.com/code/ricardocolindres/loan-default-prediction-loan-parameter-optimizer"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6755eebb-0e06-483f-9371-bd08a38be869",
   "metadata": {},
   "source": [
    "I am also not going to use all the features I could.  I want to focus on NAICS, and so I don't do a lot with bank, franchise, or geography."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea6cac06-df4b-43f2-bd07-32cf33563ae9",
   "metadata": {},
   "source": [
    "*This script takes about 1 minute on my MacBook Air*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3c909d0a-ba72-4c49-91c1-a4bba59e14df",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import re, importlib\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.ticker as mtick"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "54f6a4af-d463-447f-a619-48ac4beb9f9f",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pathlib import Path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "699e270e-bdb5-4bc9-8a65-42281f038563",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sba_gnn.sba_gnn import sg_plot \n",
    "sg_plot.plot_defaults()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "410b04e9-692c-4e77-a93f-3d97a8924a8d",
   "metadata": {},
   "source": [
    "## Import Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2073255d-9621-4590-8086-6a648d38047a",
   "metadata": {},
   "outputs": [],
   "source": [
    "sba_loans = pd.read_parquet(Path(setup.temp_path).joinpath('01_DATA_transformed.parquet'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "da4441f1-9cdf-4c21-a803-3229ab3ab7c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(688081, 58)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sba_loans.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6e7d91c8-1e19-4881-97d4-71631585157c",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_df = sba_loans[sba_loans['dset'] == 'train'].copy().reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66b50005-634c-43b6-945b-98b44854b87d",
   "metadata": {},
   "source": [
    "##### NAICS descriptions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "0fe5f040-f2e5-4786-82fd-e53cb9c1d55d",
   "metadata": {},
   "outputs": [],
   "source": [
    "naics_desc = pd.read_parquet(Path(setup.temp_path).joinpath('01_DATA_naics07_descriptions.parquet')) \\\n",
    "    .drop_duplicates('NAICS07')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0843deaa-c447-4a47-9dba-7303088d044a",
   "metadata": {},
   "source": [
    "## Name and Franchise\n",
    "These features are important to me because they may indicate non-independent observations.  There may be multiple loans for the same business.  Or, we may have multiple branches of a franchise who are not independent"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e7ea3f6-1e39-4a99-9b5b-bc0982d27831",
   "metadata": {},
   "source": [
    "For this project I am not likely to do anything to account for potential leakage or distortions due to non-independence.  This may be something a GNN will be helpful for and I may explore that in the future"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17717bcb-7437-47d0-8ea1-e1e6afe799dd",
   "metadata": {},
   "source": [
    "I am not even going to do my train/test split by name or franchise, which would normally be the minimum I'd do with non-independent observations"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b587130-53b5-4a82-8b6e-6cfa1643488b",
   "metadata": {},
   "source": [
    "##### Name - are there repeat loans?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "346c546e-82f8-433a-9fe1-e91756b3d9e2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(688081, 58)\n",
      "(604551, 58)\n",
      "(641628, 58)\n"
     ]
    }
   ],
   "source": [
    "print(sba_loans.shape)\n",
    "print(sba_loans.drop_duplicates(['Name']).shape)\n",
    "print(sba_loans.drop_duplicates(['Name', 'Zip', 'City', 'State']).shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ebf021e7-ef7d-4baa-9f3b-ca07e68c962e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# It looks like most repeat names are multi-locations (same name different address(  \n",
    "# There are a few same name/location cases, probably the same business getting multiple loans."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5894cb3b-c49e-4022-8107-75617f893493",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Name\n",
       "SUBWAY                 913\n",
       "QUIZNO'S SUBS          412\n",
       "COLD STONE CREAMERY    348\n",
       "THE UPS STORE          321\n",
       "QUIZNO'S               310\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sba_loans['Name'].value_counts().head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "edffdac2-8eb5-4384-ba78-5f05859e2a6c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# It appears that large franchises are getting many loans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f843afad-72d8-4bed-8223-62b98f648b59",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Name</th>\n",
       "      <th>Zip</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>WEST TEXAS LEE CO INC</th>\n",
       "      <th>79329</th>\n",
       "      <th>IDALOU</th>\n",
       "      <th>TX</th>\n",
       "      <td>39</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ERIE PETROLEUM, INC.</th>\n",
       "      <th>16512</th>\n",
       "      <th>ERIE</th>\n",
       "      <th>PA</th>\n",
       "      <td>25</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Meathead Movers, Inc.</th>\n",
       "      <th>93401</th>\n",
       "      <th>SAN LUIS OBISPO</th>\n",
       "      <th>CA</th>\n",
       "      <td>23</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COLCHESTER HOLDINGS, INC.</th>\n",
       "      <th>13755</th>\n",
       "      <th>DOWNSVILLE</th>\n",
       "      <th>NY</th>\n",
       "      <td>18</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UNITED STEEL FABRICATORS</th>\n",
       "      <th>45365</th>\n",
       "      <th>SIDNEY</th>\n",
       "      <th>OH</th>\n",
       "      <td>15</td>\n",
       "      <td>0.0</td>\n",
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      "text/plain": [
       "                                                       count  mean\n",
       "Name                      Zip   City            State             \n",
       "WEST TEXAS LEE CO INC     79329 IDALOU          TX        39   0.0\n",
       "ERIE PETROLEUM, INC.      16512 ERIE            PA        25   0.0\n",
       "Meathead Movers, Inc.     93401 SAN LUIS OBISPO CA        23   0.0\n",
       "COLCHESTER HOLDINGS, INC. 13755 DOWNSVILLE      NY        18   0.0\n",
       "UNITED STEEL FABRICATORS  45365 SIDNEY          OH        15   0.0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sba_loans.groupby(['Name', 'Zip', 'City', 'State'])['franchise_flag'] \\\n",
    "    .agg(['count', 'mean']) \\\n",
    "    .sort_values('count', ascending=False) \\\n",
    "    .head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "da985249-ca90-4cca-a3fb-2f2257fae2cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# There are some non-franchises getting tons of loans also"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72e698ec-8596-47af-8763-9473afa3b739",
   "metadata": {},
   "source": [
    "## Banks\n",
    "I won't do anything with bank for this project, but it could also be an interesting GNN application in the future"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7101e9e-66c8-41e0-a54a-396f1c0db458",
   "metadata": {},
   "source": [
    "##### Bank - loans per bank and histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "df40e698-4c2a-4bdf-ad24-8ceae4ea3de5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Bank\n",
       "BANK OF AMERICA NATL ASSOC        74591\n",
       "WELLS FARGO BANK NATL ASSOC       42259\n",
       "JPMORGAN CHASE BANK NATL ASSOC    41012\n",
       "CITIZENS BANK NATL ASSOC          32227\n",
       "U.S. BANK NATIONAL ASSOCIATION    26866\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sba_loans['Bank'].value_counts(dropna=False).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a658ae37-d2a2-4c2a-aec0-2e61946be443",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5133,)"
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     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "sba_loans['Bank'].value_counts(dropna=False).shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "bd6b099b-8cfd-4e86-bb72-225f805efa95",
   "metadata": {},
   "outputs": [],
   "source": [
    "sba_count = sba_loans.groupby('Bank')['LoanNr_ChkDgt']\\\n",
    "    .agg(['count'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "7c469d93-a90e-4942-ba6a-9c541815b318",
   "metadata": {},
   "outputs": [
    {
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       "      <td>5132.000000</td>\n",
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       "      <th>mean</th>\n",
       "      <td>133.980904</td>\n",
       "    </tr>\n",
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       "      <th>std</th>\n",
       "      <td>1596.001329</td>\n",
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       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
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       "      <th>25%</th>\n",
       "      <td>2.000000</td>\n",
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       "      <th>50%</th>\n",
       "      <td>8.000000</td>\n",
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       "      <th>75%</th>\n",
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       "              count\n",
       "count   5132.000000\n",
       "mean     133.980904\n",
       "std     1596.001329\n",
       "min        1.000000\n",
       "25%        2.000000\n",
       "50%        8.000000\n",
       "75%       34.000000\n",
       "max    74591.000000"
      ]
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     "execution_count": 18,
     "metadata": {},
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   ],
   "source": [
    "sba_count.describe()\n",
    "# Most banks are small.  There are a few mega-banks.  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e6793aa-8ab6-4515-a58d-51a1a8a6b8c1",
   "metadata": {},
   "source": [
    "## Correlations\n",
    "Get correlations for all predictor features, as well as Term, the target indicator"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37418236-fb72-4d8c-810d-adba7468b0b3",
   "metadata": {},
   "source": [
    "naics_num = train_df.filter(like='NAICS', dtype='number').columns##### Calculate Spearman correlations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "c59b8d6e-b1eb-4202-9fdb-53b53dbeae6c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['NAICS_num', 'menc_NAICS', 'menc_NAICS_5', 'menc_NAICS_4',\n",
       "       'menc_NAICS_3', 'menc_NAICS_sector', 'mhier_NAICS', 'cenc_NAICS'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "naics_num = train_df.filter(like='NAICS').select_dtypes('number').columns\n",
    "naics_num"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "8939ce54-19be-41ec-8ca3-f654bd4aa217",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Correlations matrix\n",
    "cor_df = train_df[['Term', 'target'] + list(naics_num) + \\\n",
    "                    setup.predictor_features].corr(method='spearman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "50851472-7505-4a10-bb95-9658552c164c",
   "metadata": {},
   "outputs": [],
   "source": [
    "cor_df.to_csv(Path(setup.temp_path).joinpath('02_REPORT_correlations.csv'), index=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "346d5fde-ef84-46e2-9f7d-de24d0820d16",
   "metadata": {},
   "source": [
    "##### Function to examine correlations for a given feature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "c4791f90-9533-4b2e-a3bc-e235b0971346",
   "metadata": {},
   "outputs": [],
   "source": [
    "def feat_corr(corr_data, feature='target',\n",
    "             outpath = None,\n",
    "             outfile_prefix = '02_PLOT_cor_'):\n",
    "    feat_corr = corr_data[feature].rename('corr').reset_index()\n",
    "    feat_corr['corr_abs'] = np.abs(feat_corr['corr'])\n",
    "    feat_corr = feat_corr[feat_corr['index'] != feature]\n",
    "    feat_corr.sort_values('corr_abs', ascending=False, inplace=True)\n",
    "    \n",
    "    fig = sg_plot.plot_basic_bar(feat_corr, label='index', y='corr')\n",
    "    \n",
    "    if outpath is not None:\n",
    "        fig.savefig(Path(outpath).joinpath(outfile_prefix + feature))\n",
    "        \n",
    "    #print(fig)\n",
    "              \n",
    "    return feat_corr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b71106f-ea5b-470a-a559-abaa86b6e1a2",
   "metadata": {},
   "source": [
    "##### Target correlations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "6b89be21-a640-4900-b722-fabebb6d4094",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>corr</th>\n",
       "      <th>corr_abs</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Term</td>\n",
       "      <td>-0.448744</td>\n",
       "      <td>0.448744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>mhier_NAICS</td>\n",
       "      <td>0.237770</td>\n",
       "      <td>0.237770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>menc_NAICS</td>\n",
       "      <td>0.237281</td>\n",
       "      <td>0.237281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>menc_NAICS_5</td>\n",
       "      <td>0.230015</td>\n",
       "      <td>0.230015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>menc_NAICS_4</td>\n",
       "      <td>0.211327</td>\n",
       "      <td>0.211327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>menc_NAICS_3</td>\n",
       "      <td>0.180794</td>\n",
       "      <td>0.180794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>DisbursementGross</td>\n",
       "      <td>-0.163556</td>\n",
       "      <td>0.163556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>NoEmp</td>\n",
       "      <td>-0.107373</td>\n",
       "      <td>0.107373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>menc_NAICS_sector</td>\n",
       "      <td>0.102591</td>\n",
       "      <td>0.102591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>LowDoc</td>\n",
       "      <td>-0.079523</td>\n",
       "      <td>0.079523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>urban_flag</td>\n",
       "      <td>0.053785</td>\n",
       "      <td>0.053785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>CreateJob</td>\n",
       "      <td>0.043305</td>\n",
       "      <td>0.043305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>new_business</td>\n",
       "      <td>0.013878</td>\n",
       "      <td>0.013878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>franchise_flag</td>\n",
       "      <td>-0.012731</td>\n",
       "      <td>0.012731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>cenc_NAICS</td>\n",
       "      <td>-0.005516</td>\n",
       "      <td>0.005516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NAICS_num</td>\n",
       "      <td>-0.002000</td>\n",
       "      <td>0.002000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                index      corr  corr_abs\n",
       "0                Term -0.448744  0.448744\n",
       "8         mhier_NAICS  0.237770  0.237770\n",
       "3          menc_NAICS  0.237281  0.237281\n",
       "4        menc_NAICS_5  0.230015  0.230015\n",
       "5        menc_NAICS_4  0.211327  0.211327\n",
       "6        menc_NAICS_3  0.180794  0.180794\n",
       "13  DisbursementGross -0.163556  0.163556\n",
       "10              NoEmp -0.107373  0.107373\n",
       "7   menc_NAICS_sector  0.102591  0.102591\n",
       "12             LowDoc -0.079523  0.079523\n",
       "15         urban_flag  0.053785  0.053785\n",
       "11          CreateJob  0.043305  0.043305\n",
       "14       new_business  0.013878  0.013878\n",
       "16     franchise_flag -0.012731  0.012731\n",
       "9          cenc_NAICS -0.005516  0.005516\n",
       "2           NAICS_num -0.002000  0.002000"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x303.03 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "feat_corr(cor_df, 'target', outpath = Path(setup.temp_path))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2464ad7-cf1f-48ac-9a9d-4c1987126820",
   "metadata": {},
   "source": [
    "The target feature is highly correlated with term (in Kaggle notebooks, models have very high performance, and I also see very high performance with this feature).  I think this feature is likely set by the creditworthiness of the businesses, as it is such a strong predictor"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f833318-2234-4e53-a5bb-20f6b4b7ca8e",
   "metadata": {},
   "source": [
    "After term, NAICS seems to be the most significant feature.  Let's look at the NAICS feature now"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5144de39-30be-48ca-a9c8-798de3708f21",
   "metadata": {},
   "source": [
    "##### NAICS correlations\n",
    "NAICS mean encoding vs. non-NAICS features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "175eaf3f-3913-4c44-83f4-df9011e476a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "feat_list = [c for c in cor_df.index if not 'menc_grp' in c]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "03a64850-70ed-4c04-bb8d-4f90388f6544",
   "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>index</th>\n",
       "      <th>corr</th>\n",
       "      <th>corr_abs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>mhier_NAICS</td>\n",
       "      <td>0.998017</td>\n",
       "      <td>0.998017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>menc_NAICS_5</td>\n",
       "      <td>0.969070</td>\n",
       "      <td>0.969070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>menc_NAICS_4</td>\n",
       "      <td>0.890684</td>\n",
       "      <td>0.890684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>menc_NAICS_3</td>\n",
       "      <td>0.756346</td>\n",
       "      <td>0.756346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>menc_NAICS_sector</td>\n",
       "      <td>0.415166</td>\n",
       "      <td>0.415166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>DisbursementGross</td>\n",
       "      <td>-0.265545</td>\n",
       "      <td>0.265545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Term</td>\n",
       "      <td>-0.240786</td>\n",
       "      <td>0.240786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>target</td>\n",
       "      <td>0.237281</td>\n",
       "      <td>0.237281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>NoEmp</td>\n",
       "      <td>-0.136917</td>\n",
       "      <td>0.136917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>LowDoc</td>\n",
       "      <td>-0.081817</td>\n",
       "      <td>0.081817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>CreateJob</td>\n",
       "      <td>0.081573</td>\n",
       "      <td>0.081573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>urban_flag</td>\n",
       "      <td>0.052420</td>\n",
       "      <td>0.052420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>franchise_flag</td>\n",
       "      <td>0.042408</td>\n",
       "      <td>0.042408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>new_business</td>\n",
       "      <td>0.034673</td>\n",
       "      <td>0.034673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>cenc_NAICS</td>\n",
       "      <td>-0.013382</td>\n",
       "      <td>0.013382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NAICS_num</td>\n",
       "      <td>0.012212</td>\n",
       "      <td>0.012212</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                index      corr  corr_abs\n",
       "8         mhier_NAICS  0.998017  0.998017\n",
       "4        menc_NAICS_5  0.969070  0.969070\n",
       "5        menc_NAICS_4  0.890684  0.890684\n",
       "6        menc_NAICS_3  0.756346  0.756346\n",
       "7   menc_NAICS_sector  0.415166  0.415166\n",
       "13  DisbursementGross -0.265545  0.265545\n",
       "0                Term -0.240786  0.240786\n",
       "1              target  0.237281  0.237281\n",
       "10              NoEmp -0.136917  0.136917\n",
       "12             LowDoc -0.081817  0.081817\n",
       "11          CreateJob  0.081573  0.081573\n",
       "15         urban_flag  0.052420  0.052420\n",
       "16     franchise_flag  0.042408  0.042408\n",
       "14       new_business  0.034673  0.034673\n",
       "9          cenc_NAICS -0.013382  0.013382\n",
       "2           NAICS_num  0.012212  0.012212"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x303.03 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "feat_corr(cor_df[cor_df.index.isin(feat_list)], \n",
    "                 'menc_NAICS', outpath = Path(setup.temp_path))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28c85484-636a-48f4-a5c9-64f7d46d9a70",
   "metadata": {},
   "source": [
    "There are strong correlations with RevLineCr, RetainedJob, and other features. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5df971da-9e87-48b4-bcd3-41c4f7fec711",
   "metadata": {},
   "source": [
    "## Term\n",
    "This feature is highly predictive and its use makes an excellent model.  I will probably drop it as it's probably set in proportion to creditworthiness.  Using this feature would make sense if you want to evaluate how well SBA is assigning risk, or to predict defaults given known risk.  But here I omit it because it makes a model so good NAICS doesn't matter.  Also removing this feature means predicting risk without the (implicit) benefit of the credit-worthiness assigned by the SBA."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba76e4fa-5e93-4a37-918a-8dd813160533",
   "metadata": {},
   "source": [
    "I am going to explore how term is related to the target a little"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "188eb301-7e51-42d3-bbe4-6f906c8d5655",
   "metadata": {},
   "source": [
    "##### Quartile stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "1bc75614-79b8-467c-ae43-04d54545a5b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_df['term_cat'] = pd.qcut(train_df['Term'], q=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "7560a6b5-fb9d-466c-ab1d-9fb8bbd4ba01",
   "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>Term</th>\n",
       "      <th>LoanNr_ChkDgt</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>term_cat</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>(-0.001, 60.0]</th>\n",
       "      <td>40.458039</td>\n",
       "      <td>138748</td>\n",
       "      <td>0.433044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(60.0, 84.0]</th>\n",
       "      <td>81.193118</td>\n",
       "      <td>154905</td>\n",
       "      <td>0.116220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(84.0, 120.0]</th>\n",
       "      <td>110.812550</td>\n",
       "      <td>58026</td>\n",
       "      <td>0.127460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(120.0, 569.0]</th>\n",
       "      <td>237.008148</td>\n",
       "      <td>84441</td>\n",
       "      <td>0.044658</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Term  LoanNr_ChkDgt    target\n",
       "term_cat                                           \n",
       "(-0.001, 60.0]   40.458039         138748  0.433044\n",
       "(60.0, 84.0]     81.193118         154905  0.116220\n",
       "(84.0, 120.0]   110.812550          58026  0.127460\n",
       "(120.0, 569.0]  237.008148          84441  0.044658"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.groupby('term_cat') \\\n",
    "    .agg({'Term': 'mean', 'LoanNr_ChkDgt':'count',\n",
    "          'target':'mean'})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0694dbda-4096-4769-a512-b529ec099bd7",
   "metadata": {},
   "source": [
    "There is a steady decrease in risk as term increases.  I wonder if enough time has passed to evaluate very long loans"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d63a3765-f154-4dc7-849a-029f310d8836",
   "metadata": {},
   "source": [
    "##### Value counts, describe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "6a0b8c7a-998b-4146-b8a7-5b9fcc2d3ce7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Term\n",
       "84     121763\n",
       "60      41689\n",
       "120     34408\n",
       "240     34147\n",
       "300     17547\n",
       "36      10460\n",
       "180      9607\n",
       "12       8320\n",
       "48       7912\n",
       "72       4667\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df['Term'].value_counts().head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa5c414b-c91e-4933-919a-3b4a34887c70",
   "metadata": {},
   "source": [
    "5 or 7 year terms are common!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "8f300ac4-6b61-445f-89c7-b04f70b0bc30",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    436120.000000\n",
       "mean        102.343176\n",
       "std          74.297505\n",
       "min           0.000000\n",
       "25%          60.000000\n",
       "50%          84.000000\n",
       "75%         120.000000\n",
       "max         569.000000\n",
       "Name: Term, dtype: float64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df['Term'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a14417a9-fa6e-40a9-b7db-796ea50bc80b",
   "metadata": {},
   "source": [
    "## NAICS"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f014ae2-2da4-4187-b6c9-60714c095f15",
   "metadata": {},
   "source": [
    "##### Code level stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "b5430925-7026-4cec-bf12-be78cd47bd12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<module 'sba_gnn.sba_gnn.sg_plot' from '/Users/valeriecarey/Documents/projects/2023_10_blog_gnn_sba/code/sba_gnn/sba_gnn/sg_plot.py'>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "importlib.reload(sg_plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "487c7b5d-83fd-492d-8e60-50c6de45c481",
   "metadata": {},
   "outputs": [],
   "source": [
    "naics_grp = ['NAICS_5', 'NAICS_4', 'NAICS_3', 'NAICS_sector']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "85bfc4ae-8d58-4bc2-8f7b-6d42bdded43e",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>count_grp</th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "      <th>sum</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">NAICS_5</th>\n",
       "      <th>loan_count</th>\n",
       "      <td>834.0</td>\n",
       "      <td>825.037170</td>\n",
       "      <td>247.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>27941.000000</td>\n",
       "      <td>688081.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>target</th>\n",
       "      <td>834.0</td>\n",
       "      <td>0.187676</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>156.522000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>low_vol</th>\n",
       "      <td>834.0</td>\n",
       "      <td>0.182254</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>152.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>naics_count</th>\n",
       "      <td>834.0</td>\n",
       "      <td>1.571942</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>1311.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>single_naics</th>\n",
       "      <td>834.0</td>\n",
       "      <td>0.735012</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>613.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">NAICS_4</th>\n",
       "      <th>loan_count</th>\n",
       "      <td>354.0</td>\n",
       "      <td>1943.731638</td>\n",
       "      <td>547.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>31793.000000</td>\n",
       "      <td>688081.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>target</th>\n",
       "      <td>354.0</td>\n",
       "      <td>0.184428</td>\n",
       "      <td>0.170639</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>65.287573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>low_vol</th>\n",
       "      <td>354.0</td>\n",
       "      <td>0.090395</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>32.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>naics_count</th>\n",
       "      <td>354.0</td>\n",
       "      <td>3.703390</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>1311.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>single_naics</th>\n",
       "      <td>354.0</td>\n",
       "      <td>0.231638</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>82.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">NAICS_3</th>\n",
       "      <th>loan_count</th>\n",
       "      <td>106.0</td>\n",
       "      <td>6491.330189</td>\n",
       "      <td>2135.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>67465.000000</td>\n",
       "      <td>688081.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>target</th>\n",
       "      <td>106.0</td>\n",
       "      <td>0.198674</td>\n",
       "      <td>0.187819</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>21.059405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>low_vol</th>\n",
       "      <td>106.0</td>\n",
       "      <td>0.075472</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>8.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>naics_count</th>\n",
       "      <td>106.0</td>\n",
       "      <td>12.367925</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>1311.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>single_naics</th>\n",
       "      <td>106.0</td>\n",
       "      <td>0.047170</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">NAICS_sector</th>\n",
       "      <th>loan_count</th>\n",
       "      <td>20.0</td>\n",
       "      <td>34404.050000</td>\n",
       "      <td>18430.500000</td>\n",
       "      <td>225.000000</td>\n",
       "      <td>125289.000000</td>\n",
       "      <td>688081.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>target</th>\n",
       "      <td>20.0</td>\n",
       "      <td>0.193514</td>\n",
       "      <td>0.202050</td>\n",
       "      <td>0.082003</td>\n",
       "      <td>0.288524</td>\n",
       "      <td>3.870287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>low_vol</th>\n",
       "      <td>20.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>naics_count</th>\n",
       "      <td>20.0</td>\n",
       "      <td>65.550000</td>\n",
       "      <td>43.500000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>488.000000</td>\n",
       "      <td>1311.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>single_naics</th>\n",
       "      <td>20.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                           count_grp          mean        median         min  \\\n",
       "NAICS_5      loan_count        834.0    825.037170    247.500000    1.000000   \n",
       "             target            834.0      0.187676      0.166667    0.000000   \n",
       "             low_vol           834.0      0.182254      0.000000    0.000000   \n",
       "             naics_count       834.0      1.571942      1.000000    1.000000   \n",
       "             single_naics      834.0      0.735012      1.000000    0.000000   \n",
       "NAICS_4      loan_count        354.0   1943.731638    547.500000    1.000000   \n",
       "             target            354.0      0.184428      0.170639    0.000000   \n",
       "             low_vol           354.0      0.090395      0.000000    0.000000   \n",
       "             naics_count       354.0      3.703390      3.000000    1.000000   \n",
       "             single_naics      354.0      0.231638      0.000000    0.000000   \n",
       "NAICS_3      loan_count        106.0   6491.330189   2135.500000    1.000000   \n",
       "             target            106.0      0.198674      0.187819    0.000000   \n",
       "             low_vol           106.0      0.075472      0.000000    0.000000   \n",
       "             naics_count       106.0     12.367925      9.000000    1.000000   \n",
       "             single_naics      106.0      0.047170      0.000000    0.000000   \n",
       "NAICS_sector loan_count         20.0  34404.050000  18430.500000  225.000000   \n",
       "             target             20.0      0.193514      0.202050    0.082003   \n",
       "             low_vol            20.0      0.000000      0.000000    0.000000   \n",
       "             naics_count        20.0     65.550000     43.500000    3.000000   \n",
       "             single_naics       20.0      0.000000      0.000000    0.000000   \n",
       "\n",
       "                                     max            sum  \n",
       "NAICS_5      loan_count     27941.000000  688081.000000  \n",
       "             target             1.000000     156.522000  \n",
       "             low_vol            1.000000     152.000000  \n",
       "             naics_count       10.000000    1311.000000  \n",
       "             single_naics       1.000000     613.000000  \n",
       "NAICS_4      loan_count     31793.000000  688081.000000  \n",
       "             target             1.000000      65.287573  \n",
       "             low_vol            1.000000      32.000000  \n",
       "             naics_count       19.000000    1311.000000  \n",
       "             single_naics       1.000000      82.000000  \n",
       "NAICS_3      loan_count     67465.000000  688081.000000  \n",
       "             target             1.000000      21.059405  \n",
       "             low_vol            1.000000       8.000000  \n",
       "             naics_count       53.000000    1311.000000  \n",
       "             single_naics       1.000000       5.000000  \n",
       "NAICS_sector loan_count    125289.000000  688081.000000  \n",
       "             target             0.288524       3.870287  \n",
       "             low_vol            0.000000       0.000000  \n",
       "             naics_count      488.000000    1311.000000  \n",
       "             single_naics       0.000000       0.000000  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats_all = pd.concat([sg_plot.naics_grp_stats(sba_loans, c) for c in naics_grp],\n",
    "                      keys=naics_grp)\n",
    "stats_all.reset_index().to_csv(Path(setup.temp_path).joinpath('02_REPORT_naics_grp_stats_all.csv'), \n",
    "                               index=False)\n",
    "stats_all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "5ca44654-9bd9-42c8-a605-cac9b9b652d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>count_grp</th>\n",
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       "      <th>median</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">NAICS_5</th>\n",
       "      <th>loan_count</th>\n",
       "      <td>770.0</td>\n",
       "      <td>566.389610</td>\n",
       "      <td>170.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>19570.000000</td>\n",
       "      <td>436120.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>target</th>\n",
       "      <td>770.0</td>\n",
       "      <td>0.181508</td>\n",
       "      <td>0.165257</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>139.761336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>low_vol</th>\n",
       "      <td>770.0</td>\n",
       "      <td>0.237662</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>183.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>naics_count</th>\n",
       "      <td>770.0</td>\n",
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       "      <td>1.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>1166.000000</td>\n",
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       "    <tr>\n",
       "      <th>single_naics</th>\n",
       "      <td>770.0</td>\n",
       "      <td>0.745455</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>574.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">NAICS_4</th>\n",
       "      <th>loan_count</th>\n",
       "      <td>348.0</td>\n",
       "      <td>1253.218391</td>\n",
       "      <td>375.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>19570.000000</td>\n",
       "      <td>436120.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>target</th>\n",
       "      <td>348.0</td>\n",
       "      <td>0.179101</td>\n",
       "      <td>0.166650</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.443378</td>\n",
       "      <td>62.327317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>low_vol</th>\n",
       "      <td>348.0</td>\n",
       "      <td>0.137931</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>48.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>naics_count</th>\n",
       "      <td>348.0</td>\n",
       "      <td>3.350575</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>1166.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>single_naics</th>\n",
       "      <td>348.0</td>\n",
       "      <td>0.267241</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>93.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">NAICS_3</th>\n",
       "      <th>loan_count</th>\n",
       "      <td>105.0</td>\n",
       "      <td>4153.523810</td>\n",
       "      <td>1330.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>40029.000000</td>\n",
       "      <td>436120.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>target</th>\n",
       "      <td>105.0</td>\n",
       "      <td>0.189477</td>\n",
       "      <td>0.184604</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.422811</td>\n",
       "      <td>19.895132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>low_vol</th>\n",
       "      <td>105.0</td>\n",
       "      <td>0.095238</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>naics_count</th>\n",
       "      <td>105.0</td>\n",
       "      <td>11.104762</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>1166.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>single_naics</th>\n",
       "      <td>105.0</td>\n",
       "      <td>0.057143</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">NAICS_sector</th>\n",
       "      <th>loan_count</th>\n",
       "      <td>20.0</td>\n",
       "      <td>21806.000000</td>\n",
       "      <td>12022.000000</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>82957.000000</td>\n",
       "      <td>436120.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>target</th>\n",
       "      <td>20.0</td>\n",
       "      <td>0.195860</td>\n",
       "      <td>0.205308</td>\n",
       "      <td>0.087214</td>\n",
       "      <td>0.286911</td>\n",
       "      <td>3.917200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>low_vol</th>\n",
       "      <td>20.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>naics_count</th>\n",
       "      <td>20.0</td>\n",
       "      <td>58.300000</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>424.000000</td>\n",
       "      <td>1166.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>single_naics</th>\n",
       "      <td>20.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           count_grp          mean        median         min  \\\n",
       "NAICS_5      loan_count        770.0    566.389610    170.500000    1.000000   \n",
       "             target            770.0      0.181508      0.165257    0.000000   \n",
       "             low_vol           770.0      0.237662      0.000000    0.000000   \n",
       "             naics_count       770.0      1.514286      1.000000    1.000000   \n",
       "             single_naics      770.0      0.745455      1.000000    0.000000   \n",
       "NAICS_4      loan_count        348.0   1253.218391    375.500000    1.000000   \n",
       "             target            348.0      0.179101      0.166650    0.000000   \n",
       "             low_vol           348.0      0.137931      0.000000    0.000000   \n",
       "             naics_count       348.0      3.350575      3.000000    1.000000   \n",
       "             single_naics      348.0      0.267241      0.000000    0.000000   \n",
       "NAICS_3      loan_count        105.0   4153.523810   1330.000000    2.000000   \n",
       "             target            105.0      0.189477      0.184604    0.000000   \n",
       "             low_vol           105.0      0.095238      0.000000    0.000000   \n",
       "             naics_count       105.0     11.104762      8.000000    1.000000   \n",
       "             single_naics      105.0      0.057143      0.000000    0.000000   \n",
       "NAICS_sector loan_count         20.0  21806.000000  12022.000000  120.000000   \n",
       "             target             20.0      0.195860      0.205308    0.087214   \n",
       "             low_vol            20.0      0.000000      0.000000    0.000000   \n",
       "             naics_count        20.0     58.300000     40.000000    3.000000   \n",
       "             single_naics       20.0      0.000000      0.000000    0.000000   \n",
       "\n",
       "                                    max            sum  \n",
       "NAICS_5      loan_count    19570.000000  436120.000000  \n",
       "             target            1.000000     139.761336  \n",
       "             low_vol           1.000000     183.000000  \n",
       "             naics_count      10.000000    1166.000000  \n",
       "             single_naics      1.000000     574.000000  \n",
       "NAICS_4      loan_count    19570.000000  436120.000000  \n",
       "             target            0.443378      62.327317  \n",
       "             low_vol           1.000000      48.000000  \n",
       "             naics_count      17.000000    1166.000000  \n",
       "             single_naics      1.000000      93.000000  \n",
       "NAICS_3      loan_count    40029.000000  436120.000000  \n",
       "             target            0.422811      19.895132  \n",
       "             low_vol           1.000000      10.000000  \n",
       "             naics_count      44.000000    1166.000000  \n",
       "             single_naics      1.000000       6.000000  \n",
       "NAICS_sector loan_count    82957.000000  436120.000000  \n",
       "             target            0.286911       3.917200  \n",
       "             low_vol           0.000000       0.000000  \n",
       "             naics_count     424.000000    1166.000000  \n",
       "             single_naics      0.000000       0.000000  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats_train = pd.concat([sg_plot.naics_grp_stats(sba_loans[sba_loans['dset'] == 'train'], c) for c in naics_grp],\n",
    "                      keys=naics_grp)\n",
    "stats_train.reset_index().to_csv(Path(setup.temp_path).joinpath('02_REPORT_naics_grp_stats_train.csv'), \n",
    "                                 index=False)\n",
    "stats_train"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "196b651e-95a5-40b6-9c2f-2c281ee61d17",
   "metadata": {},
   "source": [
    "##### Variation Plots (Sectors)\n",
    "What is the variation of term rates within vs. between sectors?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "cdb5fdf3-b208-4814-9b0a-ef81b20de28c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<module 'sba_gnn.sba_gnn.sg_plot' from '/Users/valeriecarey/Documents/projects/2023_10_blog_gnn_sba/code/sba_gnn/sba_gnn/sg_plot.py'>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "importlib.reload(sg_plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "1baeb550-081a-40a8-ad83-07d2674a61fb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Summarize target rates and counts by NAICS\n",
    "naics_info = sg_plot.naics_variance_data(sba_loans)\n",
    "naics_info = naics_info.merge(naics_desc.rename(columns={'NAICS07':'NAICS'}),\n",
    "                             how='left', on='NAICS')\n",
    "naics_info.to_csv(Path(setup.temp_path).joinpath('02_REPORT_naics_counts_rates.csv'), index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "26ecf2ad-3d4b-4839-a408-4311cade8bc0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Join in NAICS code descriptions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "abafc752-0b7c-417c-93b2-13c8f8f2881d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x500 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot higher volume NAICS\n",
    "plt.close()\n",
    "fig = sg_plot.naics_variance_plot(naics_info[naics_info['count_naics'] >= 100], num_sectors=5, xlabel='loan default rate')\n",
    "fig.savefig(Path(setup.temp_path).joinpath('02_PLOT_naics_counts_rates_100.png'),\n",
    "           bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "63897370-fc30-4a08-a9e0-f8665ad424a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x500 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot higher volume NAICS\n",
    "plt.close()\n",
    "fig = sg_plot.naics_variance_plot(naics_info[naics_info['count_naics'] >= 150], num_sectors=5, xlabel='loan default rate')\n",
    "fig.savefig(Path(setup.temp_path).joinpath('02_PLOT_naics_counts_rates_150.png'),\n",
    "           bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "276f9052-dc4e-423a-9730-446b930b2c04",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x800 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Get top 8\n",
    "plt.close()\n",
    "fig = sg_plot.naics_variance_plot(naics_info[naics_info['count_naics'] >= 150], num_sectors=8, xlabel='loan default rate')\n",
    "fig.savefig(Path(setup.temp_path).joinpath('02_PLOT_naics_counts_rates_150_top8.png'),\n",
    "           bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "4489d556-a31f-4841-8ea1-5bbad62aecfe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x800 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Get top 8\n",
    "plt.close()\n",
    "fig = sg_plot.naics_variance_plot(naics_info[naics_info['count_naics'] >= 100], num_sectors=8, xlabel='loan default rate')\n",
    "fig.savefig(Path(setup.temp_path).joinpath('02_PLOT_naics_counts_rates_100_top8.png'),\n",
    "           bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "e90e702c-655f-40f0-8850-5111ca0b04b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Export high-volume data for analysis\n",
    "naics_info[naics_info['count_naics'] >= 100] \\\n",
    "           .sort_values(['target_cat', 'target_naics'], ascending=[False, False]) \\\n",
    "           .to_csv(Path(setup.temp_path).joinpath('02_REPORT_naics_counts_rates_high_vol.csv'), \n",
    "                   index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96137921-8061-4280-b846-a293ec2314e3",
   "metadata": {},
   "source": [
    "## NAICS mean enodings\n",
    "Examine where values differ - expect at low counts.  Focus on the training data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "75119664-d573-4bd9-b54b-7c09b2533a02",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_df =  sba_loans[sba_loans['dset'] == 'train'] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "428f1dc3-1ff0-4970-8403-d69deddb978a",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_naics_mean = train_df.groupby('NAICS')['target'].agg(['mean', 'count']) \\\n",
    "    .set_axis(['target', 'count'], axis=1) \\\n",
    "    .reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "4bea4df2-a96b-496c-8528-faba4173a313",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_sector_mean = train_df.groupby('NAICS_sector')['target'].agg('mean') \\\n",
    "    .rename('sector_mean') \\\n",
    "    .reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "08b78e0e-cd53-4a1e-8c9d-c56fd007462c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['LoanNr_ChkDgt', 'Name', 'City', 'State', 'Zip', 'Bank', 'BankState',\n",
       "       'NAICS', 'ApprovalDate', 'ApprovalFY', 'Term', 'NoEmp', 'NewExist',\n",
       "       'CreateJob', 'RetainedJob', 'FranchiseCode', 'UrbanRural', 'RevLineCr',\n",
       "       'LowDoc', 'ChgOffDate', 'DisbursementDate', 'DisbursementGross',\n",
       "       'BalanceGross', 'MIS_Status', 'ChgOffPrinGr', 'GrAppv', 'SBA_Appv',\n",
       "       'target', 'guaranteed_fract', 'new_business', 'urban_flag',\n",
       "       'franchise_flag', 'NAICS_2', 'NAICS_sector', 'NAICS_sector_desc',\n",
       "       'NAICS_num', 'dset', 'dset_naics_holdout', 'NAICS_5', 'NAICS_4',\n",
       "       'NAICS_3', 'menc_NAICS', 'menc_NAICS_5', 'menc_NAICS_4', 'menc_NAICS_3',\n",
       "       'menc_NAICS_sector', 'mhier_NAICS',\n",
       "       'NS___Accommodation and Food Services',\n",
       "       'NS___Administrative and Support and Waste Management and Remediation Services',\n",
       "       'NS___Construction', 'NS___Health Care and Social Assistance',\n",
       "       'NS___Manufacturing',\n",
       "       'NS___Other Services (except Public Administration)',\n",
       "       'NS___Professional, Scientific, and Technical Services',\n",
       "       'NS___Retail Trade', 'NS___Wholesale Trade', 'NS___infrequent_sklearn',\n",
       "       'cenc_NAICS'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "25f7a173-837b-42f1-a90b-72970c09fc6b",
   "metadata": {},
   "outputs": [],
   "source": [
    "naics_menc_info = train_df \\\n",
    "    [['NAICS', 'NAICS_sector'] + list(naics_num)]  \\\n",
    "    .groupby('NAICS') \\\n",
    "    .head(1) \\\n",
    "    .reset_index() \\\n",
    "    .merge(train_naics_mean, on='NAICS') \\\n",
    "    .merge(train_sector_mean, on='NAICS_sector')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "ad8ea2d7-ed02-4b5d-a79b-97dfbf004639",
   "metadata": {},
   "outputs": [],
   "source": [
    "naics_menc_info['diff'] = naics_menc_info['menc_NAICS'] - naics_menc_info['menc_NAICS_sector']\n",
    "naics_menc_info['diff_abs'] = np.abs(naics_menc_info['diff'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "97534a7b-9a7f-4c74-806a-0e08fe00b9c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='count', ylabel='diff_abs'>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "naics_menc_info.plot(x='count', y='diff_abs', kind='scatter',\n",
    "                    logx=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "2ebb00f1-7019-4bcc-a7e7-c9647c73b876",
   "metadata": {},
   "outputs": [],
   "source": [
    "naics_menc_info['quantile'] = pd.qcut(naics_menc_info['count'], q=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "f9079a01-45cb-4dbc-97a7-6522ebf8a033",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "naics_menc_info.groupby('quantile')[['diff_abs']].agg('mean') \\\n",
    "    .plot()\n",
    "_ = plt.xticks(rotation=45, ha='right')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "dcdb928e-d5bd-488a-87c4-f695e1d3af87",
   "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>index</th>\n",
       "      <th>NAICS</th>\n",
       "      <th>NAICS_sector</th>\n",
       "      <th>NAICS_num</th>\n",
       "      <th>menc_NAICS</th>\n",
       "      <th>menc_NAICS_5</th>\n",
       "      <th>menc_NAICS_4</th>\n",
       "      <th>menc_NAICS_3</th>\n",
       "      <th>menc_NAICS_sector</th>\n",
       "      <th>mhier_NAICS</th>\n",
       "      <th>cenc_NAICS</th>\n",
       "      <th>target</th>\n",
       "      <th>count</th>\n",
       "      <th>sector_mean</th>\n",
       "      <th>diff</th>\n",
       "      <th>diff_abs</th>\n",
       "      <th>quantile</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1072</th>\n",
       "      <td>6461</td>\n",
       "      <td>114112</td>\n",
       "      <td>11</td>\n",
       "      <td>114112.0</td>\n",
       "      <td>0.428161</td>\n",
       "      <td>0.269492</td>\n",
       "      <td>0.269492</td>\n",
       "      <td>0.261218</td>\n",
       "      <td>0.087214</td>\n",
       "      <td>0.428161</td>\n",
       "      <td>0.000798</td>\n",
       "      <td>0.428161</td>\n",
       "      <td>348</td>\n",
       "      <td>0.087214</td>\n",
       "      <td>0.340947</td>\n",
       "      <td>0.340947</td>\n",
       "      <td>(212.5, 365.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>10044</td>\n",
       "      <td>452112</td>\n",
       "      <td>44-45</td>\n",
       "      <td>452112.0</td>\n",
       "      <td>0.551324</td>\n",
       "      <td>0.364706</td>\n",
       "      <td>0.364706</td>\n",
       "      <td>0.295562</td>\n",
       "      <td>0.223429</td>\n",
       "      <td>0.572148</td>\n",
       "      <td>0.000144</td>\n",
       "      <td>0.603175</td>\n",
       "      <td>63</td>\n",
       "      <td>0.223429</td>\n",
       "      <td>0.327895</td>\n",
       "      <td>0.327895</td>\n",
       "      <td>(57.0, 90.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1162</th>\n",
       "      <td>261103</td>\n",
       "      <td>212325</td>\n",
       "      <td>21</td>\n",
       "      <td>212325.0</td>\n",
       "      <td>0.395927</td>\n",
       "      <td>0.174365</td>\n",
       "      <td>0.154813</td>\n",
       "      <td>0.137931</td>\n",
       "      <td>0.117409</td>\n",
       "      <td>0.372914</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>0.117409</td>\n",
       "      <td>0.278518</td>\n",
       "      <td>0.278518</td>\n",
       "      <td>(0.999, 7.0]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       index   NAICS NAICS_sector  NAICS_num  menc_NAICS  menc_NAICS_5  \\\n",
       "1072    6461  114112           11   114112.0    0.428161      0.269492   \n",
       "66     10044  452112        44-45   452112.0    0.551324      0.364706   \n",
       "1162  261103  212325           21   212325.0    0.395927      0.174365   \n",
       "\n",
       "      menc_NAICS_4  menc_NAICS_3  menc_NAICS_sector  mhier_NAICS  cenc_NAICS  \\\n",
       "1072      0.269492      0.261218           0.087214     0.428161    0.000798   \n",
       "66        0.364706      0.295562           0.223429     0.572148    0.000144   \n",
       "1162      0.154813      0.137931           0.117409     0.372914    0.000005   \n",
       "\n",
       "        target  count  sector_mean      diff  diff_abs        quantile  \n",
       "1072  0.428161    348     0.087214  0.340947  0.340947  (212.5, 365.0]  \n",
       "66    0.603175     63     0.223429  0.327895  0.327895    (57.0, 90.0]  \n",
       "1162  1.000000      2     0.117409  0.278518  0.278518    (0.999, 7.0]  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "naics_menc_info.sort_values('diff_abs', ascending=False).head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "d6a71464-496d-4300-b25b-f4367060b881",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>NAICS</th>\n",
       "      <th>NAICS_sector</th>\n",
       "      <th>NAICS_num</th>\n",
       "      <th>menc_NAICS</th>\n",
       "      <th>menc_NAICS_5</th>\n",
       "      <th>menc_NAICS_4</th>\n",
       "      <th>menc_NAICS_3</th>\n",
       "      <th>menc_NAICS_sector</th>\n",
       "      <th>mhier_NAICS</th>\n",
       "      <th>cenc_NAICS</th>\n",
       "      <th>target</th>\n",
       "      <th>count</th>\n",
       "      <th>sector_mean</th>\n",
       "      <th>diff</th>\n",
       "      <th>diff_abs</th>\n",
       "      <th>quantile</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>123</td>\n",
       "      <td>722110</td>\n",
       "      <td>72</td>\n",
       "      <td>722110.0</td>\n",
       "      <td>0.236382</td>\n",
       "      <td>0.236382</td>\n",
       "      <td>0.236382</td>\n",
       "      <td>0.240226</td>\n",
       "      <td>0.218456</td>\n",
       "      <td>0.236382</td>\n",
       "      <td>0.044873</td>\n",
       "      <td>0.236382</td>\n",
       "      <td>19570</td>\n",
       "      <td>0.218456</td>\n",
       "      <td>0.017926</td>\n",
       "      <td>0.017926</td>\n",
       "      <td>(805.5, 19570.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>24</td>\n",
       "      <td>722211</td>\n",
       "      <td>72</td>\n",
       "      <td>722211.0</td>\n",
       "      <td>0.251133</td>\n",
       "      <td>0.264023</td>\n",
       "      <td>0.264023</td>\n",
       "      <td>0.240226</td>\n",
       "      <td>0.218456</td>\n",
       "      <td>0.251133</td>\n",
       "      <td>0.031372</td>\n",
       "      <td>0.251133</td>\n",
       "      <td>13682</td>\n",
       "      <td>0.218456</td>\n",
       "      <td>0.032677</td>\n",
       "      <td>0.032677</td>\n",
       "      <td>(805.5, 19570.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>10</td>\n",
       "      <td>811111</td>\n",
       "      <td>81</td>\n",
       "      <td>811111.0</td>\n",
       "      <td>0.151928</td>\n",
       "      <td>0.152833</td>\n",
       "      <td>0.154375</td>\n",
       "      <td>0.169607</td>\n",
       "      <td>0.201483</td>\n",
       "      <td>0.151928</td>\n",
       "      <td>0.022895</td>\n",
       "      <td>0.151928</td>\n",
       "      <td>9985</td>\n",
       "      <td>0.201483</td>\n",
       "      <td>-0.049555</td>\n",
       "      <td>0.049555</td>\n",
       "      <td>(805.5, 19570.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>2</td>\n",
       "      <td>621210</td>\n",
       "      <td>62</td>\n",
       "      <td>621210.0</td>\n",
       "      <td>0.040818</td>\n",
       "      <td>0.040818</td>\n",
       "      <td>0.040818</td>\n",
       "      <td>0.089955</td>\n",
       "      <td>0.100917</td>\n",
       "      <td>0.040818</td>\n",
       "      <td>0.022189</td>\n",
       "      <td>0.040818</td>\n",
       "      <td>9677</td>\n",
       "      <td>0.100917</td>\n",
       "      <td>-0.060098</td>\n",
       "      <td>0.060098</td>\n",
       "      <td>(805.5, 19570.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>21</td>\n",
       "      <td>624410</td>\n",
       "      <td>62</td>\n",
       "      <td>624410.0</td>\n",
       "      <td>0.126003</td>\n",
       "      <td>0.126003</td>\n",
       "      <td>0.126003</td>\n",
       "      <td>0.137824</td>\n",
       "      <td>0.100917</td>\n",
       "      <td>0.126003</td>\n",
       "      <td>0.015996</td>\n",
       "      <td>0.126003</td>\n",
       "      <td>6976</td>\n",
       "      <td>0.100917</td>\n",
       "      <td>0.025087</td>\n",
       "      <td>0.025087</td>\n",
       "      <td>(805.5, 19570.0]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     index   NAICS NAICS_sector  NAICS_num  menc_NAICS  menc_NAICS_5  \\\n",
       "159    123  722110           72   722110.0    0.236382      0.236382   \n",
       "158     24  722211           72   722211.0    0.251133      0.264023   \n",
       "110     10  811111           81   811111.0    0.151928      0.152833   \n",
       "77       2  621210           62   621210.0    0.040818      0.040818   \n",
       "78      21  624410           62   624410.0    0.126003      0.126003   \n",
       "\n",
       "     menc_NAICS_4  menc_NAICS_3  menc_NAICS_sector  mhier_NAICS  cenc_NAICS  \\\n",
       "159      0.236382      0.240226           0.218456     0.236382    0.044873   \n",
       "158      0.264023      0.240226           0.218456     0.251133    0.031372   \n",
       "110      0.154375      0.169607           0.201483     0.151928    0.022895   \n",
       "77       0.040818      0.089955           0.100917     0.040818    0.022189   \n",
       "78       0.126003      0.137824           0.100917     0.126003    0.015996   \n",
       "\n",
       "       target  count  sector_mean      diff  diff_abs          quantile  \n",
       "159  0.236382  19570     0.218456  0.017926  0.017926  (805.5, 19570.0]  \n",
       "158  0.251133  13682     0.218456  0.032677  0.032677  (805.5, 19570.0]  \n",
       "110  0.151928   9985     0.201483 -0.049555  0.049555  (805.5, 19570.0]  \n",
       "77   0.040818   9677     0.100917 -0.060098  0.060098  (805.5, 19570.0]  \n",
       "78   0.126003   6976     0.100917  0.025087  0.025087  (805.5, 19570.0]  "
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "naics_menc_info.sort_values('count', ascending=False).head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "0a9d60da-3fd4-429f-a8df-da7698d4f173",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.2046546821975603"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df['target'].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9a2bc3d-267c-422e-93f9-f320fe7329ed",
   "metadata": {},
   "source": [
    "## Holdout NAICS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "87fe3fd4-03db-49ec-bcea-5be653595cb9",
   "metadata": {},
   "outputs": [],
   "source": [
    "holdout_sum_01 = sba_loans.groupby(['dset', 'dset_naics_holdout']) \\\n",
    "    .agg({'LoanNr_ChkDgt':'count', 'NAICS_sector':pd.Series.nunique, 'NAICS':pd.Series.nunique}) \\\n",
    "    .reset_index() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "79251bd0-0268-41e2-9fbc-17bfa1e01745",
   "metadata": {},
   "outputs": [],
   "source": [
    "holdout_sum_02 = sba_loans.groupby(['dset', 'dset_naics_holdout', 'NAICS']) \\\n",
    "    ['LoanNr_ChkDgt'] \\\n",
    "    .agg('count') \\\n",
    "    .groupby(['dset', 'dset_naics_holdout']) \\\n",
    "    .agg(['mean', 'median', 'min', 'max']) \n",
    "holdout_sum_02.columns = ['loans_naics_' + c for c in holdout_sum_02.columns]\n",
    "holdout_sum_02.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "3b9e3c52-52b9-4daf-924e-10a2a75f9204",
   "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>dset</th>\n",
       "      <th>dset_naics_holdout</th>\n",
       "      <th>LoanNr_ChkDgt</th>\n",
       "      <th>NAICS_sector</th>\n",
       "      <th>NAICS</th>\n",
       "      <th>loans_naics_mean</th>\n",
       "      <th>loans_naics_median</th>\n",
       "      <th>loans_naics_min</th>\n",
       "      <th>loans_naics_max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>test</td>\n",
       "      <td>0</td>\n",
       "      <td>93455</td>\n",
       "      <td>20</td>\n",
       "      <td>1087</td>\n",
       "      <td>85.975161</td>\n",
       "      <td>23.0</td>\n",
       "      <td>1</td>\n",
       "      <td>4211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>test</td>\n",
       "      <td>1</td>\n",
       "      <td>65052</td>\n",
       "      <td>18</td>\n",
       "      <td>131</td>\n",
       "      <td>496.580153</td>\n",
       "      <td>102.0</td>\n",
       "      <td>1</td>\n",
       "      <td>6104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>train</td>\n",
       "      <td>0</td>\n",
       "      <td>436120</td>\n",
       "      <td>20</td>\n",
       "      <td>1166</td>\n",
       "      <td>374.030875</td>\n",
       "      <td>90.0</td>\n",
       "      <td>1</td>\n",
       "      <td>19570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>val</td>\n",
       "      <td>0</td>\n",
       "      <td>93454</td>\n",
       "      <td>20</td>\n",
       "      <td>1100</td>\n",
       "      <td>84.958182</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1</td>\n",
       "      <td>4160</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    dset  dset_naics_holdout  LoanNr_ChkDgt  NAICS_sector  NAICS  \\\n",
       "0   test                   0          93455            20   1087   \n",
       "1   test                   1          65052            18    131   \n",
       "2  train                   0         436120            20   1166   \n",
       "3    val                   0          93454            20   1100   \n",
       "\n",
       "   loans_naics_mean  loans_naics_median  loans_naics_min  loans_naics_max  \n",
       "0         85.975161                23.0                1             4211  \n",
       "1        496.580153               102.0                1             6104  \n",
       "2        374.030875                90.0                1            19570  \n",
       "3         84.958182                21.0                1             4160  "
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "holdout_stats = holdout_sum_01.merge(holdout_sum_02, on=['dset', 'dset_naics_holdout'])\n",
    "holdout_stats.to_csv(Path(setup.temp_path).joinpath('02_REPORT_holdout_naics.csv'), index=False)\n",
    "holdout_stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "65229b45-31c8-4667-a2bd-b24072e99b1c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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