03 - ML Model Final .ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "cc33a735",
   "metadata": {},
   "outputs": [],
   "source": [
    "#make necessary imports \n",
    "import numpy as np \n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt \n",
    "import seaborn as sns\n",
    "# import shap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bf95b868",
   "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>Job Title</th>\n",
       "      <th>Salary Estimate</th>\n",
       "      <th>Job Description</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Company Name</th>\n",
       "      <th>Location</th>\n",
       "      <th>Headquarters</th>\n",
       "      <th>Size</th>\n",
       "      <th>Founded</th>\n",
       "      <th>Type of ownership</th>\n",
       "      <th>Industry</th>\n",
       "      <th>Sector</th>\n",
       "      <th>Revenue</th>\n",
       "      <th>Competitors</th>\n",
       "      <th>hourly</th>\n",
       "      <th>Employer Provided Sal</th>\n",
       "      <th>min_sal</th>\n",
       "      <th>max_sal</th>\n",
       "      <th>avg_sal</th>\n",
       "      <th>State</th>\n",
       "      <th>Age</th>\n",
       "      <th>job_in_HQ</th>\n",
       "      <th>has_python</th>\n",
       "      <th>has_spark</th>\n",
       "      <th>has_sql</th>\n",
       "      <th>has_rstudio</th>\n",
       "      <th>has_excel</th>\n",
       "      <th>has_aws</th>\n",
       "      <th>has_tableau</th>\n",
       "      <th>title_simp</th>\n",
       "      <th>seniority</th>\n",
       "      <th>desc_len</th>\n",
       "      <th>num_competitors</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Data Scientist</td>\n",
       "      <td>53-91</td>\n",
       "      <td>Data Scientist\\r\\nLocation: Albuquerque, NM\\r\\...</td>\n",
       "      <td>3.8</td>\n",
       "      <td>Tecolote Research</td>\n",
       "      <td>Albuquerque, NM</td>\n",
       "      <td>Goleta, CA</td>\n",
       "      <td>501 to 1000 employees</td>\n",
       "      <td>1973</td>\n",
       "      <td>Company - Private</td>\n",
       "      <td>Aerospace &amp; Defense</td>\n",
       "      <td>Aerospace &amp; Defense</td>\n",
       "      <td>$50 to $100 million (USD)</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>53</td>\n",
       "      <td>91</td>\n",
       "      <td>72.0</td>\n",
       "      <td>NM</td>\n",
       "      <td>48</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>data scientist</td>\n",
       "      <td>na</td>\n",
       "      <td>2555</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Healthcare Data Scientist</td>\n",
       "      <td>63-112</td>\n",
       "      <td>What You Will Do:\\r\\n\\r\\nI. General Summary\\r\\...</td>\n",
       "      <td>3.4</td>\n",
       "      <td>University of Maryland Medical System</td>\n",
       "      <td>Linthicum, MD</td>\n",
       "      <td>Baltimore, MD</td>\n",
       "      <td>10000+ employees</td>\n",
       "      <td>1984</td>\n",
       "      <td>Other Organization</td>\n",
       "      <td>Health Care Services &amp; Hospitals</td>\n",
       "      <td>Health Care</td>\n",
       "      <td>$2 to $5 billion (USD)</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>63</td>\n",
       "      <td>112</td>\n",
       "      <td>87.5</td>\n",
       "      <td>MD</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>data scientist</td>\n",
       "      <td>na</td>\n",
       "      <td>4828</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Data Scientist</td>\n",
       "      <td>80-90</td>\n",
       "      <td>KnowBe4, Inc. is a high growth information sec...</td>\n",
       "      <td>4.8</td>\n",
       "      <td>KnowBe4</td>\n",
       "      <td>Clearwater, FL</td>\n",
       "      <td>Clearwater, FL</td>\n",
       "      <td>501 to 1000 employees</td>\n",
       "      <td>2010</td>\n",
       "      <td>Company - Private</td>\n",
       "      <td>Security Services</td>\n",
       "      <td>Business Services</td>\n",
       "      <td>$100 to $500 million (USD)</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>80</td>\n",
       "      <td>90</td>\n",
       "      <td>85.0</td>\n",
       "      <td>FL</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>data scientist</td>\n",
       "      <td>na</td>\n",
       "      <td>3495</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Data Scientist</td>\n",
       "      <td>56-97</td>\n",
       "      <td>*Organization and Job ID**\\r\\nJob ID: 310709\\r...</td>\n",
       "      <td>3.8</td>\n",
       "      <td>PNNL</td>\n",
       "      <td>Richland, WA</td>\n",
       "      <td>Richland, WA</td>\n",
       "      <td>1001 to 5000 employees</td>\n",
       "      <td>1965</td>\n",
       "      <td>Government</td>\n",
       "      <td>Energy</td>\n",
       "      <td>Oil, Gas, Energy &amp; Utilities</td>\n",
       "      <td>$500 million to $1 billion (USD)</td>\n",
       "      <td>Oak Ridge National Laboratory, National Renewa...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>56</td>\n",
       "      <td>97</td>\n",
       "      <td>76.5</td>\n",
       "      <td>WA</td>\n",
       "      <td>56</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>data scientist</td>\n",
       "      <td>na</td>\n",
       "      <td>3926</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Data Scientist</td>\n",
       "      <td>86-143</td>\n",
       "      <td>Data Scientist\\r\\nAffinity Solutions / Marketi...</td>\n",
       "      <td>2.9</td>\n",
       "      <td>Affinity Solutions</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>51 to 200 employees</td>\n",
       "      <td>1998</td>\n",
       "      <td>Company - Private</td>\n",
       "      <td>Advertising &amp; Marketing</td>\n",
       "      <td>Business Services</td>\n",
       "      <td>Unknown / Non-Applicable</td>\n",
       "      <td>Commerce Signals, Cardlytics, Yodlee</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>86</td>\n",
       "      <td>143</td>\n",
       "      <td>114.5</td>\n",
       "      <td>NY</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>data scientist</td>\n",
       "      <td>na</td>\n",
       "      <td>2748</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>737</th>\n",
       "      <td>Sr Scientist, Immuno-Oncology - Oncology</td>\n",
       "      <td>58-111</td>\n",
       "      <td>Site Name: USA - Massachusetts - Cambridge\\r\\n...</td>\n",
       "      <td>3.9</td>\n",
       "      <td>GSK</td>\n",
       "      <td>Cambridge, MA</td>\n",
       "      <td>Brentford, United Kingdom</td>\n",
       "      <td>10000+ employees</td>\n",
       "      <td>1830</td>\n",
       "      <td>Company - Public</td>\n",
       "      <td>Biotech &amp; Pharmaceuticals</td>\n",
       "      <td>Biotech &amp; Pharmaceuticals</td>\n",
       "      <td>$10+ billion (USD)</td>\n",
       "      <td>Pfizer, AstraZeneca, Merck</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>58</td>\n",
       "      <td>111</td>\n",
       "      <td>84.5</td>\n",
       "      <td>MA</td>\n",
       "      <td>191</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>na</td>\n",
       "      <td>senior</td>\n",
       "      <td>6219</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>738</th>\n",
       "      <td>Senior Data Engineer</td>\n",
       "      <td>72-133</td>\n",
       "      <td>THE CHALLENGE\\r\\nEventbrite has a world-class ...</td>\n",
       "      <td>4.4</td>\n",
       "      <td>Eventbrite</td>\n",
       "      <td>Nashville, TN</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>1001 to 5000 employees</td>\n",
       "      <td>2006</td>\n",
       "      <td>Company - Public</td>\n",
       "      <td>Internet</td>\n",
       "      <td>Information Technology</td>\n",
       "      <td>$100 to $500 million (USD)</td>\n",
       "      <td>See Tickets, TicketWeb, Vendini</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>72</td>\n",
       "      <td>133</td>\n",
       "      <td>102.5</td>\n",
       "      <td>TN</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>data engineer</td>\n",
       "      <td>senior</td>\n",
       "      <td>6167</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>739</th>\n",
       "      <td>Project Scientist - Auton Lab, Robotics Institute</td>\n",
       "      <td>56-91</td>\n",
       "      <td>The Auton Lab at Carnegie Mellon University is...</td>\n",
       "      <td>2.6</td>\n",
       "      <td>Software Engineering Institute</td>\n",
       "      <td>Pittsburgh, PA</td>\n",
       "      <td>Pittsburgh, PA</td>\n",
       "      <td>501 to 1000 employees</td>\n",
       "      <td>1984</td>\n",
       "      <td>College / University</td>\n",
       "      <td>Colleges &amp; Universities</td>\n",
       "      <td>Education</td>\n",
       "      <td>Unknown / Non-Applicable</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>56</td>\n",
       "      <td>91</td>\n",
       "      <td>73.5</td>\n",
       "      <td>PA</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>na</td>\n",
       "      <td>na</td>\n",
       "      <td>3107</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>740</th>\n",
       "      <td>Data Science Manager</td>\n",
       "      <td>95-160</td>\n",
       "      <td>Data Science ManagerResponsibilities:\\r\\n\\r\\nO...</td>\n",
       "      <td>3.2</td>\n",
       "      <td>Numeric, LLC</td>\n",
       "      <td>Allentown, PA</td>\n",
       "      <td>Chadds Ford, PA</td>\n",
       "      <td>1 to 50 employees</td>\n",
       "      <td>-1</td>\n",
       "      <td>Company - Private</td>\n",
       "      <td>Staffing &amp; Outsourcing</td>\n",
       "      <td>Business Services</td>\n",
       "      <td>$5 to $10 million (USD)</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>95</td>\n",
       "      <td>160</td>\n",
       "      <td>127.5</td>\n",
       "      <td>PA</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>manager</td>\n",
       "      <td>na</td>\n",
       "      <td>1678</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>741</th>\n",
       "      <td>Research Scientist – Security and Privacy</td>\n",
       "      <td>61-126</td>\n",
       "      <td>Returning Candidate? Log back in to the Career...</td>\n",
       "      <td>3.6</td>\n",
       "      <td>Riverside Research Institute</td>\n",
       "      <td>Beavercreek, OH</td>\n",
       "      <td>Arlington, VA</td>\n",
       "      <td>501 to 1000 employees</td>\n",
       "      <td>1967</td>\n",
       "      <td>Nonprofit Organization</td>\n",
       "      <td>Federal Agencies</td>\n",
       "      <td>Government</td>\n",
       "      <td>$50 to $100 million (USD)</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>126</td>\n",
       "      <td>93.5</td>\n",
       "      <td>OH</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>na</td>\n",
       "      <td>na</td>\n",
       "      <td>3710</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>742 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             Job Title Salary Estimate                                    Job Description  Rating                           Company Name         Location               Headquarters                    Size  Founded       Type of ownership                          Industry                        Sector                           Revenue                                        Competitors  hourly  Employer Provided Sal  min_sal  max_sal  avg_sal State  Age  job_in_HQ  has_python  has_spark  has_sql  has_rstudio  has_excel  has_aws  has_tableau      title_simp seniority  desc_len  num_competitors\n",
       "0                                       Data Scientist           53-91  Data Scientist\\r\\nLocation: Albuquerque, NM\\r\\...     3.8                      Tecolote Research  Albuquerque, NM                 Goleta, CA   501 to 1000 employees     1973       Company - Private               Aerospace & Defense           Aerospace & Defense         $50 to $100 million (USD)                                                 -1       0                      0       53       91     72.0    NM   48          0           1          0        0            0          1        0            1  data scientist        na      2555                0\n",
       "1                            Healthcare Data Scientist          63-112  What You Will Do:\\r\\n\\r\\nI. General Summary\\r\\...     3.4  University of Maryland Medical System    Linthicum, MD              Baltimore, MD        10000+ employees     1984      Other Organization  Health Care Services & Hospitals                   Health Care            $2 to $5 billion (USD)                                                 -1       0                      0       63      112     87.5    MD   37          1           1          0        0            0          0        0            0  data scientist        na      4828                0\n",
       "2                                       Data Scientist           80-90  KnowBe4, Inc. is a high growth information sec...     4.8                                KnowBe4   Clearwater, FL             Clearwater, FL   501 to 1000 employees     2010       Company - Private                 Security Services             Business Services        $100 to $500 million (USD)                                                 -1       0                      0       80       90     85.0    FL   11          1           1          1        1            0          1        0            0  data scientist        na      3495                0\n",
       "3                                       Data Scientist           56-97  *Organization and Job ID**\\r\\nJob ID: 310709\\r...     3.8                                   PNNL     Richland, WA               Richland, WA  1001 to 5000 employees     1965              Government                            Energy  Oil, Gas, Energy & Utilities  $500 million to $1 billion (USD)  Oak Ridge National Laboratory, National Renewa...       0                      0       56       97     76.5    WA   56          1           1          0        0            0          0        0            0  data scientist        na      3926                3\n",
       "4                                       Data Scientist          86-143  Data Scientist\\r\\nAffinity Solutions / Marketi...     2.9                     Affinity Solutions     New York, NY               New York, NY     51 to 200 employees     1998       Company - Private           Advertising & Marketing             Business Services          Unknown / Non-Applicable               Commerce Signals, Cardlytics, Yodlee       0                      0       86      143    114.5    NY   23          1           1          0        1            0          1        0            0  data scientist        na      2748                3\n",
       "..                                                 ...             ...                                                ...     ...                                    ...              ...                        ...                     ...      ...                     ...                               ...                           ...                               ...                                                ...     ...                    ...      ...      ...      ...   ...  ...        ...         ...        ...      ...          ...        ...      ...          ...             ...       ...       ...              ...\n",
       "737           Sr Scientist, Immuno-Oncology - Oncology          58-111  Site Name: USA - Massachusetts - Cambridge\\r\\n...     3.9                                    GSK    Cambridge, MA  Brentford, United Kingdom        10000+ employees     1830        Company - Public         Biotech & Pharmaceuticals     Biotech & Pharmaceuticals                $10+ billion (USD)                         Pfizer, AstraZeneca, Merck       0                      0       58      111     84.5    MA  191          0           0          0        0            0          0        1            0              na    senior      6219                3\n",
       "738                               Senior Data Engineer          72-133  THE CHALLENGE\\r\\nEventbrite has a world-class ...     4.4                             Eventbrite    Nashville, TN          San Francisco, CA  1001 to 5000 employees     2006        Company - Public                          Internet        Information Technology        $100 to $500 million (USD)                    See Tickets, TicketWeb, Vendini       0                      0       72      133    102.5    TN   15          0           1          1        1            0          0        1            0   data engineer    senior      6167                3\n",
       "739  Project Scientist - Auton Lab, Robotics Institute           56-91  The Auton Lab at Carnegie Mellon University is...     2.6         Software Engineering Institute   Pittsburgh, PA             Pittsburgh, PA   501 to 1000 employees     1984    College / University           Colleges & Universities                     Education          Unknown / Non-Applicable                                                 -1       0                      0       56       91     73.5    PA   37          1           0          0        0            0          1        0            0              na        na      3107                0\n",
       "740                               Data Science Manager          95-160  Data Science ManagerResponsibilities:\\r\\n\\r\\nO...     3.2                           Numeric, LLC    Allentown, PA            Chadds Ford, PA       1 to 50 employees       -1       Company - Private            Staffing & Outsourcing             Business Services           $5 to $10 million (USD)                                                 -1       0                      0       95      160    127.5    PA   -1          1           0          0        0            0          1        0            0         manager        na      1678                0\n",
       "741          Research Scientist – Security and Privacy          61-126  Returning Candidate? Log back in to the Career...     3.6           Riverside Research Institute  Beavercreek, OH              Arlington, VA   501 to 1000 employees     1967  Nonprofit Organization                  Federal Agencies                    Government         $50 to $100 million (USD)                                                 -1       0                      0       61      126     93.5    OH   54          0           1          0        0            0          0        0            0              na        na      3710                0\n",
       "\n",
       "[742 rows x 33 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#load df\n",
    "pd.set_option('display.max_columns', 500)\n",
    "pd.set_option('display.width', 1000)\n",
    "df = pd.read_csv('eda.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0c59ff79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Job Title', 'Salary Estimate', 'Job Description', 'Rating', 'Company Name', 'Location', 'Headquarters', 'Size', 'Founded', 'Type of ownership', 'Industry', 'Sector', 'Revenue', 'Competitors', 'hourly', 'Employer Provided Sal', 'min_sal', 'max_sal', 'avg_sal', 'State', 'Age', 'job_in_HQ', 'has_python', 'has_spark', 'has_sql', 'has_rstudio', 'has_excel', 'has_aws', 'has_tableau', 'title_simp', 'seniority', 'desc_len', 'num_competitors'], dtype='object')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#choose relevant columns to be used in the model\n",
    "df.columns "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6dca130c",
   "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>avg_sal</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Size</th>\n",
       "      <th>Type of ownership</th>\n",
       "      <th>Industry</th>\n",
       "      <th>Sector</th>\n",
       "      <th>Revenue</th>\n",
       "      <th>num_competitors</th>\n",
       "      <th>hourly</th>\n",
       "      <th>Employer Provided Sal</th>\n",
       "      <th>State</th>\n",
       "      <th>job_in_HQ</th>\n",
       "      <th>Age</th>\n",
       "      <th>has_python</th>\n",
       "      <th>has_spark</th>\n",
       "      <th>has_sql</th>\n",
       "      <th>has_excel</th>\n",
       "      <th>has_aws</th>\n",
       "      <th>has_tableau</th>\n",
       "      <th>title_simp</th>\n",
       "      <th>seniority</th>\n",
       "      <th>desc_len</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>72.0</td>\n",
       "      <td>3.8</td>\n",
       "      <td>501 to 1000 employees</td>\n",
       "      <td>Company - Private</td>\n",
       "      <td>Aerospace &amp; Defense</td>\n",
       "      <td>Aerospace &amp; Defense</td>\n",
       "      <td>$50 to $100 million (USD)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NM</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>data scientist</td>\n",
       "      <td>na</td>\n",
       "      <td>2555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>87.5</td>\n",
       "      <td>3.4</td>\n",
       "      <td>10000+ employees</td>\n",
       "      <td>Other Organization</td>\n",
       "      <td>Health Care Services &amp; Hospitals</td>\n",
       "      <td>Health Care</td>\n",
       "      <td>$2 to $5 billion (USD)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>MD</td>\n",
       "      <td>1</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>data scientist</td>\n",
       "      <td>na</td>\n",
       "      <td>4828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>85.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>501 to 1000 employees</td>\n",
       "      <td>Company - Private</td>\n",
       "      <td>Security Services</td>\n",
       "      <td>Business Services</td>\n",
       "      <td>$100 to $500 million (USD)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>FL</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>data scientist</td>\n",
       "      <td>na</td>\n",
       "      <td>3495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>76.5</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1001 to 5000 employees</td>\n",
       "      <td>Government</td>\n",
       "      <td>Energy</td>\n",
       "      <td>Oil, Gas, Energy &amp; Utilities</td>\n",
       "      <td>$500 million to $1 billion (USD)</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>WA</td>\n",
       "      <td>1</td>\n",
       "      <td>56</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>data scientist</td>\n",
       "      <td>na</td>\n",
       "      <td>3926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>114.5</td>\n",
       "      <td>2.9</td>\n",
       "      <td>51 to 200 employees</td>\n",
       "      <td>Company - Private</td>\n",
       "      <td>Advertising &amp; Marketing</td>\n",
       "      <td>Business Services</td>\n",
       "      <td>Unknown / Non-Applicable</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NY</td>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>data scientist</td>\n",
       "      <td>na</td>\n",
       "      <td>2748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>737</th>\n",
       "      <td>84.5</td>\n",
       "      <td>3.9</td>\n",
       "      <td>10000+ employees</td>\n",
       "      <td>Company - Public</td>\n",
       "      <td>Biotech &amp; Pharmaceuticals</td>\n",
       "      <td>Biotech &amp; Pharmaceuticals</td>\n",
       "      <td>$10+ billion (USD)</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>MA</td>\n",
       "      <td>0</td>\n",
       "      <td>191</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>na</td>\n",
       "      <td>senior</td>\n",
       "      <td>6219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>738</th>\n",
       "      <td>102.5</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1001 to 5000 employees</td>\n",
       "      <td>Company - Public</td>\n",
       "      <td>Internet</td>\n",
       "      <td>Information Technology</td>\n",
       "      <td>$100 to $500 million (USD)</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>TN</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>data engineer</td>\n",
       "      <td>senior</td>\n",
       "      <td>6167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>739</th>\n",
       "      <td>73.5</td>\n",
       "      <td>2.6</td>\n",
       "      <td>501 to 1000 employees</td>\n",
       "      <td>College / University</td>\n",
       "      <td>Colleges &amp; Universities</td>\n",
       "      <td>Education</td>\n",
       "      <td>Unknown / Non-Applicable</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PA</td>\n",
       "      <td>1</td>\n",
       "      <td>37</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>na</td>\n",
       "      <td>na</td>\n",
       "      <td>3107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>740</th>\n",
       "      <td>127.5</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1 to 50 employees</td>\n",
       "      <td>Company - Private</td>\n",
       "      <td>Staffing &amp; Outsourcing</td>\n",
       "      <td>Business Services</td>\n",
       "      <td>$5 to $10 million (USD)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PA</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>manager</td>\n",
       "      <td>na</td>\n",
       "      <td>1678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>741</th>\n",
       "      <td>93.5</td>\n",
       "      <td>3.6</td>\n",
       "      <td>501 to 1000 employees</td>\n",
       "      <td>Nonprofit Organization</td>\n",
       "      <td>Federal Agencies</td>\n",
       "      <td>Government</td>\n",
       "      <td>$50 to $100 million (USD)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>OH</td>\n",
       "      <td>0</td>\n",
       "      <td>54</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>na</td>\n",
       "      <td>na</td>\n",
       "      <td>3710</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>742 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     avg_sal  Rating                    Size       Type of ownership                          Industry                        Sector                           Revenue  num_competitors  hourly  Employer Provided Sal State  job_in_HQ  Age  has_python  has_spark  has_sql  has_excel  has_aws  has_tableau      title_simp seniority  desc_len\n",
       "0       72.0     3.8   501 to 1000 employees       Company - Private               Aerospace & Defense           Aerospace & Defense         $50 to $100 million (USD)                0       0                      0    NM          0   48           1          0        0          1        0            1  data scientist        na      2555\n",
       "1       87.5     3.4        10000+ employees      Other Organization  Health Care Services & Hospitals                   Health Care            $2 to $5 billion (USD)                0       0                      0    MD          1   37           1          0        0          0        0            0  data scientist        na      4828\n",
       "2       85.0     4.8   501 to 1000 employees       Company - Private                 Security Services             Business Services        $100 to $500 million (USD)                0       0                      0    FL          1   11           1          1        1          1        0            0  data scientist        na      3495\n",
       "3       76.5     3.8  1001 to 5000 employees              Government                            Energy  Oil, Gas, Energy & Utilities  $500 million to $1 billion (USD)                3       0                      0    WA          1   56           1          0        0          0        0            0  data scientist        na      3926\n",
       "4      114.5     2.9     51 to 200 employees       Company - Private           Advertising & Marketing             Business Services          Unknown / Non-Applicable                3       0                      0    NY          1   23           1          0        1          1        0            0  data scientist        na      2748\n",
       "..       ...     ...                     ...                     ...                               ...                           ...                               ...              ...     ...                    ...   ...        ...  ...         ...        ...      ...        ...      ...          ...             ...       ...       ...\n",
       "737     84.5     3.9        10000+ employees        Company - Public         Biotech & Pharmaceuticals     Biotech & Pharmaceuticals                $10+ billion (USD)                3       0                      0    MA          0  191           0          0        0          0        1            0              na    senior      6219\n",
       "738    102.5     4.4  1001 to 5000 employees        Company - Public                          Internet        Information Technology        $100 to $500 million (USD)                3       0                      0    TN          0   15           1          1        1          0        1            0   data engineer    senior      6167\n",
       "739     73.5     2.6   501 to 1000 employees    College / University           Colleges & Universities                     Education          Unknown / Non-Applicable                0       0                      0    PA          1   37           0          0        0          1        0            0              na        na      3107\n",
       "740    127.5     3.2       1 to 50 employees       Company - Private            Staffing & Outsourcing             Business Services           $5 to $10 million (USD)                0       0                      0    PA          1   -1           0          0        0          1        0            0         manager        na      1678\n",
       "741     93.5     3.6   501 to 1000 employees  Nonprofit Organization                  Federal Agencies                    Government         $50 to $100 million (USD)                0       0                      0    OH          0   54           1          0        0          0        0            0              na        na      3710\n",
       "\n",
       "[742 rows x 22 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_mdl = df[['avg_sal', 'Rating', 'Size', 'Type of ownership', 'Industry', 'Sector', 'Revenue', 'num_competitors', 'hourly', 'Employer Provided Sal', 'State', 'job_in_HQ', 'Age', 'has_python', 'has_spark', 'has_sql', 'has_excel', 'has_aws', 'has_tableau', 'title_simp', 'seniority', 'desc_len']]\n",
    "df_mdl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "01b9a34b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#get dummy data for categorical columns\n",
    "df_dummy = pd.get_dummies(df_mdl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "89314653",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>avg_sal</th>\n",
       "      <th>Rating</th>\n",
       "      <th>num_competitors</th>\n",
       "      <th>hourly</th>\n",
       "      <th>Employer Provided Sal</th>\n",
       "      <th>job_in_HQ</th>\n",
       "      <th>Age</th>\n",
       "      <th>has_python</th>\n",
       "      <th>has_spark</th>\n",
       "      <th>has_sql</th>\n",
       "      <th>has_excel</th>\n",
       "      <th>has_aws</th>\n",
       "      <th>has_tableau</th>\n",
       "      <th>desc_len</th>\n",
       "      <th>Size_-1</th>\n",
       "      <th>Size_1 to 50 employees</th>\n",
       "      <th>Size_10000+ employees</th>\n",
       "      <th>Size_1001 to 5000 employees</th>\n",
       "      <th>Size_201 to 500 employees</th>\n",
       "      <th>Size_5001 to 10000 employees</th>\n",
       "      <th>Size_501 to 1000 employees</th>\n",
       "      <th>Size_51 to 200 employees</th>\n",
       "      <th>Size_Unknown</th>\n",
       "      <th>Type of ownership_-1</th>\n",
       "      <th>Type of ownership_College / University</th>\n",
       "      <th>Type of ownership_Company - Private</th>\n",
       "      <th>Type of ownership_Company - Public</th>\n",
       "      <th>Type of ownership_Government</th>\n",
       "      <th>Type of ownership_Hospital</th>\n",
       "      <th>Type of ownership_Nonprofit Organization</th>\n",
       "      <th>Type of ownership_Other Organization</th>\n",
       "      <th>Type of ownership_School / School District</th>\n",
       "      <th>Type of ownership_Subsidiary or Business Segment</th>\n",
       "      <th>Type of ownership_Unknown</th>\n",
       "      <th>Industry_-1</th>\n",
       "      <th>Industry_Accounting</th>\n",
       "      <th>Industry_Advertising &amp; Marketing</th>\n",
       "      <th>Industry_Aerospace &amp; Defense</th>\n",
       "      <th>Industry_Architectural &amp; Engineering Services</th>\n",
       "      <th>Industry_Auctions &amp; Galleries</th>\n",
       "      <th>Industry_Banks &amp; Credit Unions</th>\n",
       "      <th>Industry_Beauty &amp; Personal Accessories Stores</th>\n",
       "      <th>Industry_Biotech &amp; Pharmaceuticals</th>\n",
       "      <th>Industry_Brokerage Services</th>\n",
       "      <th>Industry_Colleges &amp; Universities</th>\n",
       "      <th>Industry_Computer Hardware &amp; Software</th>\n",
       "      <th>Industry_Construction</th>\n",
       "      <th>Industry_Consulting</th>\n",
       "      <th>Industry_Consumer Product Rental</th>\n",
       "      <th>Industry_Consumer Products Manufacturing</th>\n",
       "      <th>Industry_Department, Clothing, &amp; Shoe Stores</th>\n",
       "      <th>Industry_Education Training Services</th>\n",
       "      <th>Industry_Energy</th>\n",
       "      <th>Industry_Enterprise Software &amp; Network Solutions</th>\n",
       "      <th>Industry_Farm Support Services</th>\n",
       "      <th>Industry_Federal Agencies</th>\n",
       "      <th>Industry_Financial Analytics &amp; Research</th>\n",
       "      <th>Industry_Financial Transaction Processing</th>\n",
       "      <th>Industry_Food &amp; Beverage Manufacturing</th>\n",
       "      <th>Industry_Gambling</th>\n",
       "      <th>Industry_Gas Stations</th>\n",
       "      <th>Industry_Health Care Products Manufacturing</th>\n",
       "      <th>Industry_Health Care Services &amp; Hospitals</th>\n",
       "      <th>Industry_Health, Beauty, &amp; Fitness</th>\n",
       "      <th>Industry_IT Services</th>\n",
       "      <th>Industry_Industrial Manufacturing</th>\n",
       "      <th>Industry_Insurance Agencies &amp; Brokerages</th>\n",
       "      <th>Industry_Insurance Carriers</th>\n",
       "      <th>Industry_Internet</th>\n",
       "      <th>Industry_Investment Banking &amp; Asset Management</th>\n",
       "      <th>Industry_K-12 Education</th>\n",
       "      <th>Industry_Lending</th>\n",
       "      <th>Industry_Logistics &amp; Supply Chain</th>\n",
       "      <th>Industry_Metals Brokers</th>\n",
       "      <th>Industry_Mining</th>\n",
       "      <th>Industry_Motion Picture Production &amp; Distribution</th>\n",
       "      <th>Industry_Other Retail Stores</th>\n",
       "      <th>Industry_Real Estate</th>\n",
       "      <th>Industry_Religious Organizations</th>\n",
       "      <th>Industry_Research &amp; Development</th>\n",
       "      <th>Industry_Security Services</th>\n",
       "      <th>Industry_Social Assistance</th>\n",
       "      <th>Industry_Sporting Goods Stores</th>\n",
       "      <th>Industry_Staffing &amp; Outsourcing</th>\n",
       "      <th>Industry_Stock Exchanges</th>\n",
       "      <th>Industry_TV Broadcast &amp; Cable Networks</th>\n",
       "      <th>Industry_Telecommunications Manufacturing</th>\n",
       "      <th>Industry_Telecommunications Services</th>\n",
       "      <th>Industry_Transportation Equipment Manufacturing</th>\n",
       "      <th>Industry_Transportation Management</th>\n",
       "      <th>Industry_Travel Agencies</th>\n",
       "      <th>Industry_Trucking</th>\n",
       "      <th>Industry_Video Games</th>\n",
       "      <th>Industry_Wholesale</th>\n",
       "      <th>Sector_-1</th>\n",
       "      <th>Sector_Accounting &amp; Legal</th>\n",
       "      <th>Sector_Aerospace &amp; Defense</th>\n",
       "      <th>Sector_Agriculture &amp; Forestry</th>\n",
       "      <th>Sector_Arts, Entertainment &amp; Recreation</th>\n",
       "      <th>Sector_Biotech &amp; Pharmaceuticals</th>\n",
       "      <th>Sector_Business Services</th>\n",
       "      <th>Sector_Construction, Repair &amp; Maintenance</th>\n",
       "      <th>Sector_Consumer Services</th>\n",
       "      <th>Sector_Education</th>\n",
       "      <th>Sector_Finance</th>\n",
       "      <th>Sector_Government</th>\n",
       "      <th>Sector_Health Care</th>\n",
       "      <th>Sector_Information Technology</th>\n",
       "      <th>Sector_Insurance</th>\n",
       "      <th>Sector_Manufacturing</th>\n",
       "      <th>Sector_Media</th>\n",
       "      <th>Sector_Mining &amp; Metals</th>\n",
       "      <th>Sector_Non-Profit</th>\n",
       "      <th>Sector_Oil, Gas, Energy &amp; Utilities</th>\n",
       "      <th>Sector_Real Estate</th>\n",
       "      <th>Sector_Retail</th>\n",
       "      <th>Sector_Telecommunications</th>\n",
       "      <th>Sector_Transportation &amp; Logistics</th>\n",
       "      <th>Sector_Travel &amp; Tourism</th>\n",
       "      <th>Revenue_$1 to $2 billion (USD)</th>\n",
       "      <th>Revenue_$1 to $5 million (USD)</th>\n",
       "      <th>Revenue_$10 to $25 million (USD)</th>\n",
       "      <th>Revenue_$10+ billion (USD)</th>\n",
       "      <th>Revenue_$100 to $500 million (USD)</th>\n",
       "      <th>Revenue_$2 to $5 billion (USD)</th>\n",
       "      <th>Revenue_$25 to $50 million (USD)</th>\n",
       "      <th>Revenue_$5 to $10 billion (USD)</th>\n",
       "      <th>Revenue_$5 to $10 million (USD)</th>\n",
       "      <th>Revenue_$50 to $100 million (USD)</th>\n",
       "      <th>Revenue_$500 million to $1 billion (USD)</th>\n",
       "      <th>Revenue_-1</th>\n",
       "      <th>Revenue_Less than $1 million (USD)</th>\n",
       "      <th>Revenue_Unknown / Non-Applicable</th>\n",
       "      <th>State_AL</th>\n",
       "      <th>State_AZ</th>\n",
       "      <th>State_CA</th>\n",
       "      <th>State_CO</th>\n",
       "      <th>State_CT</th>\n",
       "      <th>State_DC</th>\n",
       "      <th>State_DE</th>\n",
       "      <th>State_FL</th>\n",
       "      <th>State_GA</th>\n",
       "      <th>State_IA</th>\n",
       "      <th>State_ID</th>\n",
       "      <th>State_IL</th>\n",
       "      <th>State_IN</th>\n",
       "      <th>State_KS</th>\n",
       "      <th>State_KY</th>\n",
       "      <th>State_LA</th>\n",
       "      <th>State_MA</th>\n",
       "      <th>State_MD</th>\n",
       "      <th>State_MI</th>\n",
       "      <th>State_MN</th>\n",
       "      <th>State_MO</th>\n",
       "      <th>State_NC</th>\n",
       "      <th>State_NE</th>\n",
       "      <th>State_NJ</th>\n",
       "      <th>State_NM</th>\n",
       "      <th>State_NY</th>\n",
       "      <th>State_OH</th>\n",
       "      <th>State_OR</th>\n",
       "      <th>State_PA</th>\n",
       "      <th>State_RI</th>\n",
       "      <th>State_SC</th>\n",
       "      <th>State_TN</th>\n",
       "      <th>State_TX</th>\n",
       "      <th>State_UT</th>\n",
       "      <th>State_VA</th>\n",
       "      <th>State_WA</th>\n",
       "      <th>State_WI</th>\n",
       "      <th>title_simp_analyst</th>\n",
       "      <th>title_simp_data engineer</th>\n",
       "      <th>title_simp_data scientist</th>\n",
       "      <th>title_simp_director</th>\n",
       "      <th>title_simp_manager</th>\n",
       "      <th>title_simp_mle</th>\n",
       "      <th>title_simp_na</th>\n",
       "      <th>seniority_junior</th>\n",
       "      <th>seniority_na</th>\n",
       "      <th>seniority_senior</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>72.0</td>\n",
       "      <td>3.8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2555</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>87.5</td>\n",
       "      <td>3.4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4828</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>85.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3495</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>76.5</td>\n",
       "      <td>3.8</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>56</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3926</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>114.5</td>\n",
       "      <td>2.9</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2748</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>737</th>\n",
       "      <td>84.5</td>\n",
       "      <td>3.9</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>191</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6219</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>738</th>\n",
       "      <td>102.5</td>\n",
       "      <td>4.4</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6167</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>739</th>\n",
       "      <td>73.5</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>37</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3107</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>740</th>\n",
       "      <td>127.5</td>\n",
       "      <td>3.2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1678</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>741</th>\n",
       "      <td>93.5</td>\n",
       "      <td>3.6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>54</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3710</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>742 rows × 180 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     avg_sal  Rating  num_competitors  hourly  Employer Provided Sal  job_in_HQ  Age  has_python  has_spark  has_sql  has_excel  has_aws  has_tableau  desc_len  Size_-1  Size_1 to 50 employees  Size_10000+ employees  Size_1001 to 5000 employees  Size_201 to 500 employees  Size_5001 to 10000 employees  Size_501 to 1000 employees  Size_51 to 200 employees  Size_Unknown  Type of ownership_-1  Type of ownership_College / University  Type of ownership_Company - Private  Type of ownership_Company - Public  Type of ownership_Government  Type of ownership_Hospital  Type of ownership_Nonprofit Organization  Type of ownership_Other Organization  Type of ownership_School / School District  Type of ownership_Subsidiary or Business Segment  Type of ownership_Unknown  Industry_-1  Industry_Accounting  Industry_Advertising & Marketing  Industry_Aerospace & Defense  Industry_Architectural & Engineering Services  Industry_Auctions & Galleries  Industry_Banks & Credit Unions  \\\n",
       "0       72.0     3.8                0       0                      0          0   48           1          0        0          1        0            1      2555        0                       0                      0                            0                          0                             0                           1                         0             0                     0                                       0                                    1                                   0                             0                           0                                         0                                     0                                           0                                                 0                          0            0                    0                                 0                             1                                              0                              0                               0   \n",
       "1       87.5     3.4                0       0                      0          1   37           1          0        0          0        0            0      4828        0                       0                      1                            0                          0                             0                           0                         0             0                     0                                       0                                    0                                   0                             0                           0                                         0                                     1                                           0                                                 0                          0            0                    0                                 0                             0                                              0                              0                               0   \n",
       "2       85.0     4.8                0       0                      0          1   11           1          1        1          1        0            0      3495        0                       0                      0                            0                          0                             0                           1                         0             0                     0                                       0                                    1                                   0                             0                           0                                         0                                     0                                           0                                                 0                          0            0                    0                                 0                             0                                              0                              0                               0   \n",
       "3       76.5     3.8                3       0                      0          1   56           1          0        0          0        0            0      3926        0                       0                      0                            1                          0                             0                           0                         0             0                     0                                       0                                    0                                   0                             1                           0                                         0                                     0                                           0                                                 0                          0            0                    0                                 0                             0                                              0                              0                               0   \n",
       "4      114.5     2.9                3       0                      0          1   23           1          0        1          1        0            0      2748        0                       0                      0                            0                          0                             0                           0                         1             0                     0                                       0                                    1                                   0                             0                           0                                         0                                     0                                           0                                                 0                          0            0                    0                                 1                             0                                              0                              0                               0   \n",
       "..       ...     ...              ...     ...                    ...        ...  ...         ...        ...      ...        ...      ...          ...       ...      ...                     ...                    ...                          ...                        ...                           ...                         ...                       ...           ...                   ...                                     ...                                  ...                                 ...                           ...                         ...                                       ...                                   ...                                         ...                                               ...                        ...          ...                  ...                               ...                           ...                                            ...                            ...                             ...   \n",
       "737     84.5     3.9                3       0                      0          0  191           0          0        0          0        1            0      6219        0                       0                      1                            0                          0                             0                           0                         0             0                     0                                       0                                    0                                   1                             0                           0                                         0                                     0                                           0                                                 0                          0            0                    0                                 0                             0                                              0                              0                               0   \n",
       "738    102.5     4.4                3       0                      0          0   15           1          1        1          0        1            0      6167        0                       0                      0                            1                          0                             0                           0                         0             0                     0                                       0                                    0                                   1                             0                           0                                         0                                     0                                           0                                                 0                          0            0                    0                                 0                             0                                              0                              0                               0   \n",
       "739     73.5     2.6                0       0                      0          1   37           0          0        0          1        0            0      3107        0                       0                      0                            0                          0                             0                           1                         0             0                     0                                       1                                    0                                   0                             0                           0                                         0                                     0                                           0                                                 0                          0            0                    0                                 0                             0                                              0                              0                               0   \n",
       "740    127.5     3.2                0       0                      0          1   -1           0          0        0          1        0            0      1678        0                       1                      0                            0                          0                             0                           0                         0             0                     0                                       0                                    1                                   0                             0                           0                                         0                                     0                                           0                                                 0                          0            0                    0                                 0                             0                                              0                              0                               0   \n",
       "741     93.5     3.6                0       0                      0          0   54           1          0        0          0        0            0      3710        0                       0                      0                            0                          0                             0                           1                         0             0                     0                                       0                                    0                                   0                             0                           0                                         1                                     0                                           0                                                 0                          0            0                    0                                 0                             0                                              0                              0                               0   \n",
       "\n",
       "     Industry_Beauty & Personal Accessories Stores  Industry_Biotech & Pharmaceuticals  Industry_Brokerage Services  Industry_Colleges & Universities  Industry_Computer Hardware & Software  Industry_Construction  Industry_Consulting  Industry_Consumer Product Rental  Industry_Consumer Products Manufacturing  Industry_Department, Clothing, & Shoe Stores  Industry_Education Training Services  Industry_Energy  Industry_Enterprise Software & Network Solutions  Industry_Farm Support Services  Industry_Federal Agencies  Industry_Financial Analytics & Research  Industry_Financial Transaction Processing  Industry_Food & Beverage Manufacturing  Industry_Gambling  Industry_Gas Stations  Industry_Health Care Products Manufacturing  Industry_Health Care Services & Hospitals  Industry_Health, Beauty, & Fitness  Industry_IT Services  Industry_Industrial Manufacturing  Industry_Insurance Agencies & Brokerages  Industry_Insurance Carriers  Industry_Internet  \\\n",
       "0                                                0                                   0                            0                                 0                                      0                      0                    0                                 0                                         0                                             0                                     0                0                                                 0                               0                          0                                        0                                          0                                       0                  0                      0                                            0                                          0                                   0                     0                                  0                                         0                            0                  0   \n",
       "1                                                0                                   0                            0                                 0                                      0                      0                    0                                 0                                         0                                             0                                     0                0                                                 0                               0                          0                                        0                                          0                                       0                  0                      0                                            0                                          1                                   0                     0                                  0                                         0                            0                  0   \n",
       "2                                                0                                   0                            0                                 0                                      0                      0                    0                                 0                                         0                                             0                                     0                0                                                 0                               0                          0                                        0                                          0                                       0                  0                      0                                            0                                          0                                   0                     0                                  0                                         0                            0                  0   \n",
       "3                                                0                                   0                            0                                 0                                      0                      0                    0                                 0                                         0                                             0                                     0                1                                                 0                               0                          0                                        0                                          0                                       0                  0                      0                                            0                                          0                                   0                     0                                  0                                         0                            0                  0   \n",
       "4                                                0                                   0                            0                                 0                                      0                      0                    0                                 0                                         0                                             0                                     0                0                                                 0                               0                          0                                        0                                          0                                       0                  0                      0                                            0                                          0                                   0                     0                                  0                                         0                            0                  0   \n",
       "..                                             ...                                 ...                          ...                               ...                                    ...                    ...                  ...                               ...                                       ...                                           ...                                   ...              ...                                               ...                             ...                        ...                                      ...                                        ...                                     ...                ...                    ...                                          ...                                        ...                                 ...                   ...                                ...                                       ...                          ...                ...   \n",
       "737                                              0                                   1                            0                                 0                                      0                      0                    0                                 0                                         0                                             0                                     0                0                                                 0                               0                          0                                        0                                          0                                       0                  0                      0                                            0                                          0                                   0                     0                                  0                                         0                            0                  0   \n",
       "738                                              0                                   0                            0                                 0                                      0                      0                    0                                 0                                         0                                             0                                     0                0                                                 0                               0                          0                                        0                                          0                                       0                  0                      0                                            0                                          0                                   0                     0                                  0                                         0                            0                  1   \n",
       "739                                              0                                   0                            0                                 1                                      0                      0                    0                                 0                                         0                                             0                                     0                0                                                 0                               0                          0                                        0                                          0                                       0                  0                      0                                            0                                          0                                   0                     0                                  0                                         0                            0                  0   \n",
       "740                                              0                                   0                            0                                 0                                      0                      0                    0                                 0                                         0                                             0                                     0                0                                                 0                               0                          0                                        0                                          0                                       0                  0                      0                                            0                                          0                                   0                     0                                  0                                         0                            0                  0   \n",
       "741                                              0                                   0                            0                                 0                                      0                      0                    0                                 0                                         0                                             0                                     0                0                                                 0                               0                          1                                        0                                          0                                       0                  0                      0                                            0                                          0                                   0                     0                                  0                                         0                            0                  0   \n",
       "\n",
       "     Industry_Investment Banking & Asset Management  Industry_K-12 Education  Industry_Lending  Industry_Logistics & Supply Chain  Industry_Metals Brokers  Industry_Mining  Industry_Motion Picture Production & Distribution  Industry_Other Retail Stores  Industry_Real Estate  Industry_Religious Organizations  Industry_Research & Development  Industry_Security Services  Industry_Social Assistance  Industry_Sporting Goods Stores  Industry_Staffing & Outsourcing  Industry_Stock Exchanges  Industry_TV Broadcast & Cable Networks  Industry_Telecommunications Manufacturing  Industry_Telecommunications Services  Industry_Transportation Equipment Manufacturing  Industry_Transportation Management  Industry_Travel Agencies  Industry_Trucking  Industry_Video Games  Industry_Wholesale  Sector_-1  Sector_Accounting & Legal  Sector_Aerospace & Defense  Sector_Agriculture & Forestry  Sector_Arts, Entertainment & Recreation  Sector_Biotech & Pharmaceuticals  Sector_Business Services  \\\n",
       "0                                                 0                        0                 0                                  0                        0                0                                                  0                             0                     0                                 0                                0                           0                           0                               0                                0                         0                                       0                                          0                                     0                                                0                                   0                         0                  0                     0                   0          0                          0                           1                              0                                        0                                 0                         0   \n",
       "1                                                 0                        0                 0                                  0                        0                0                                                  0                             0                     0                                 0                                0                           0                           0                               0                                0                         0                                       0                                          0                                     0                                                0                                   0                         0                  0                     0                   0          0                          0                           0                              0                                        0                                 0                         0   \n",
       "2                                                 0                        0                 0                                  0                        0                0                                                  0                             0                     0                                 0                                0                           1                           0                               0                                0                         0                                       0                                          0                                     0                                                0                                   0                         0                  0                     0                   0          0                          0                           0                              0                                        0                                 0                         1   \n",
       "3                                                 0                        0                 0                                  0                        0                0                                                  0                             0                     0                                 0                                0                           0                           0                               0                                0                         0                                       0                                          0                                     0                                                0                                   0                         0                  0                     0                   0          0                          0                           0                              0                                        0                                 0                         0   \n",
       "4                                                 0                        0                 0                                  0                        0                0                                                  0                             0                     0                                 0                                0                           0                           0                               0                                0                         0                                       0                                          0                                     0                                                0                                   0                         0                  0                     0                   0          0                          0                           0                              0                                        0                                 0                         1   \n",
       "..                                              ...                      ...               ...                                ...                      ...              ...                                                ...                           ...                   ...                               ...                              ...                         ...                         ...                             ...                              ...                       ...                                     ...                                        ...                                   ...                                              ...                                 ...                       ...                ...                   ...                 ...        ...                        ...                         ...                            ...                                      ...                               ...                       ...   \n",
       "737                                               0                        0                 0                                  0                        0                0                                                  0                             0                     0                                 0                                0                           0                           0                               0                                0                         0                                       0                                          0                                     0                                                0                                   0                         0                  0                     0                   0          0                          0                           0                              0                                        0                                 1                         0   \n",
       "738                                               0                        0                 0                                  0                        0                0                                                  0                             0                     0                                 0                                0                           0                           0                               0                                0                         0                                       0                                          0                                     0                                                0                                   0                         0                  0                     0                   0          0                          0                           0                              0                                        0                                 0                         0   \n",
       "739                                               0                        0                 0                                  0                        0                0                                                  0                             0                     0                                 0                                0                           0                           0                               0                                0                         0                                       0                                          0                                     0                                                0                                   0                         0                  0                     0                   0          0                          0                           0                              0                                        0                                 0                         0   \n",
       "740                                               0                        0                 0                                  0                        0                0                                                  0                             0                     0                                 0                                0                           0                           0                               0                                1                         0                                       0                                          0                                     0                                                0                                   0                         0                  0                     0                   0          0                          0                           0                              0                                        0                                 0                         1   \n",
       "741                                               0                        0                 0                                  0                        0                0                                                  0                             0                     0                                 0                                0                           0                           0                               0                                0                         0                                       0                                          0                                     0                                                0                                   0                         0                  0                     0                   0          0                          0                           0                              0                                        0                                 0                         0   \n",
       "\n",
       "     Sector_Construction, Repair & Maintenance  Sector_Consumer Services  Sector_Education  Sector_Finance  Sector_Government  Sector_Health Care  Sector_Information Technology  Sector_Insurance  Sector_Manufacturing  Sector_Media  Sector_Mining & Metals  Sector_Non-Profit  Sector_Oil, Gas, Energy & Utilities  Sector_Real Estate  Sector_Retail  Sector_Telecommunications  Sector_Transportation & Logistics  Sector_Travel & Tourism  Revenue_$1 to $2 billion (USD)  Revenue_$1 to $5 million (USD)  Revenue_$10 to $25 million (USD)  Revenue_$10+ billion (USD)  Revenue_$100 to $500 million (USD)  Revenue_$2 to $5 billion (USD)  Revenue_$25 to $50 million (USD)  Revenue_$5 to $10 billion (USD)  Revenue_$5 to $10 million (USD)  Revenue_$50 to $100 million (USD)  Revenue_$500 million to $1 billion (USD)  Revenue_-1  Revenue_Less than $1 million (USD)  Revenue_Unknown / Non-Applicable  State_AL  State_AZ  State_CA  State_CO  State_CT  State_DC  State_DE  State_FL  State_GA  State_IA  State_ID  \\\n",
       "0                                            0                         0                 0               0                  0                   0                              0                 0                     0             0                       0                  0                                    0                   0              0                          0                                  0                        0                               0                               0                                 0                           0                                   0                               0                                 0                                0                                0                                  1                                         0           0                                   0                                 0         0         0         0         0         0         0         0         0         0         0         0   \n",
       "1                                            0                         0                 0               0                  0                   1                              0                 0                     0             0                       0                  0                                    0                   0              0                          0                                  0                        0                               0                               0                                 0                           0                                   0                               1                                 0                                0                                0                                  0                                         0           0                                   0                                 0         0         0         0         0         0         0         0         0         0         0         0   \n",
       "2                                            0                         0                 0               0                  0                   0                              0                 0                     0             0                       0                  0                                    0                   0              0                          0                                  0                        0                               0                               0                                 0                           0                                   1                               0                                 0                                0                                0                                  0                                         0           0                                   0                                 0         0         0         0         0         0         0         0         1         0         0         0   \n",
       "3                                            0                         0                 0               0                  0                   0                              0                 0                     0             0                       0                  0                                    1                   0              0                          0                                  0                        0                               0                               0                                 0                           0                                   0                               0                                 0                                0                                0                                  0                                         1           0                                   0                                 0         0         0         0         0         0         0         0         0         0         0         0   \n",
       "4                                            0                         0                 0               0                  0                   0                              0                 0                     0             0                       0                  0                                    0                   0              0                          0                                  0                        0                               0                               0                                 0                           0                                   0                               0                                 0                                0                                0                                  0                                         0           0                                   0                                 1         0         0         0         0         0         0         0         0         0         0         0   \n",
       "..                                         ...                       ...               ...             ...                ...                 ...                            ...               ...                   ...           ...                     ...                ...                                  ...                 ...            ...                        ...                                ...                      ...                             ...                             ...                               ...                         ...                                 ...                             ...                               ...                              ...                              ...                                ...                                       ...         ...                                 ...                               ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...   \n",
       "737                                          0                         0                 0               0                  0                   0                              0                 0                     0             0                       0                  0                                    0                   0              0                          0                                  0                        0                               0                               0                                 0                           1                                   0                               0                                 0                                0                                0                                  0                                         0           0                                   0                                 0         0         0         0         0         0         0         0         0         0         0         0   \n",
       "738                                          0                         0                 0               0                  0                   0                              1                 0                     0             0                       0                  0                                    0                   0              0                          0                                  0                        0                               0                               0                                 0                           0                                   1                               0                                 0                                0                                0                                  0                                         0           0                                   0                                 0         0         0         0         0         0         0         0         0         0         0         0   \n",
       "739                                          0                         0                 1               0                  0                   0                              0                 0                     0             0                       0                  0                                    0                   0              0                          0                                  0                        0                               0                               0                                 0                           0                                   0                               0                                 0                                0                                0                                  0                                         0           0                                   0                                 1         0         0         0         0         0         0         0         0         0         0         0   \n",
       "740                                          0                         0                 0               0                  0                   0                              0                 0                     0             0                       0                  0                                    0                   0              0                          0                                  0                        0                               0                               0                                 0                           0                                   0                               0                                 0                                0                                1                                  0                                         0           0                                   0                                 0         0         0         0         0         0         0         0         0         0         0         0   \n",
       "741                                          0                         0                 0               0                  1                   0                              0                 0                     0             0                       0                  0                                    0                   0              0                          0                                  0                        0                               0                               0                                 0                           0                                   0                               0                                 0                                0                                0                                  1                                         0           0                                   0                                 0         0         0         0         0         0         0         0         0         0         0         0   \n",
       "\n",
       "     State_IL  State_IN  State_KS  State_KY  State_LA  State_MA  State_MD  State_MI  State_MN  State_MO  State_NC  State_NE  State_NJ  State_NM  State_NY  State_OH  State_OR  State_PA  State_RI  State_SC  State_TN  State_TX  State_UT  State_VA  State_WA  State_WI  title_simp_analyst  title_simp_data engineer  title_simp_data scientist  title_simp_director  title_simp_manager  title_simp_mle  title_simp_na  seniority_junior  seniority_na  seniority_senior  \n",
       "0           0         0         0         0         0         0         0         0         0         0         0         0         0         1         0         0         0         0         0         0         0         0         0         0         0         0                   0                         0                          1                    0                   0               0              0                 0             1                 0  \n",
       "1           0         0         0         0         0         0         1         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0                   0                         0                          1                    0                   0               0              0                 0             1                 0  \n",
       "2           0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0                   0                         0                          1                    0                   0               0              0                 0             1                 0  \n",
       "3           0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         1         0                   0                         0                          1                    0                   0               0              0                 0             1                 0  \n",
       "4           0         0         0         0         0         0         0         0         0         0         0         0         0         0         1         0         0         0         0         0         0         0         0         0         0         0                   0                         0                          1                    0                   0               0              0                 0             1                 0  \n",
       "..        ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...                 ...                       ...                        ...                  ...                 ...             ...            ...               ...           ...               ...  \n",
       "737         0         0         0         0         0         1         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0                   0                         0                          0                    0                   0               0              1                 0             0                 1  \n",
       "738         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         1         0         0         0         0         0                   0                         1                          0                    0                   0               0              0                 0             0                 1  \n",
       "739         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         1         0         0         0         0         0         0         0         0                   0                         0                          0                    0                   0               0              1                 0             1                 0  \n",
       "740         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         1         0         0         0         0         0         0         0         0                   0                         0                          0                    0                   1               0              0                 0             1                 0  \n",
       "741         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         1         0         0         0         0         0         0         0         0         0         0                   0                         0                          0                    0                   0               0              1                 0             1                 0  \n",
       "\n",
       "[742 rows x 180 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_dummy #number of columns has increased to 180"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9e72df07",
   "metadata": {},
   "outputs": [],
   "source": [
    "#create train test splits\n",
    "X = df_dummy.drop('avg_sal', axis=1)\n",
    "y = df_dummy.avg_sal.values #presents it as a numpy array instead of a series obj \n",
    "                            #it is more accurate to do it this way\n",
    "\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "#help(train_test_split)\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b51905b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>            <td>y</td>        <th>  R-squared:         </th> <td>   0.692</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.617</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   9.304</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Thu, 17 Feb 2022</td> <th>  Prob (F-statistic):</th> <td>2.32e-87</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>16:28:06</td>     <th>  Log-Likelihood:    </th> <td> -3305.9</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>   742</td>      <th>  AIC:               </th> <td>   6902.</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>   597</td>      <th>  BIC:               </th> <td>   7570.</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>   144</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "                          <td></td>                             <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>const</th>                                             <td>   43.7244</td> <td>    6.382</td> <td>    6.851</td> <td> 0.000</td> <td>   31.191</td> <td>   56.258</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Rating</th>                                            <td>    3.3900</td> <td>    1.923</td> <td>    1.763</td> <td> 0.078</td> <td>   -0.387</td> <td>    7.167</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>num_competitors</th>                                   <td>    2.2084</td> <td>    0.864</td> <td>    2.556</td> <td> 0.011</td> <td>    0.512</td> <td>    3.905</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>hourly</th>                                            <td>  -14.2118</td> <td>    9.139</td> <td>   -1.555</td> <td> 0.120</td> <td>  -32.161</td> <td>    3.738</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Employer Provided Sal</th>                             <td>   31.6724</td> <td>   11.532</td> <td>    2.747</td> <td> 0.006</td> <td>    9.024</td> <td>   54.320</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>job_in_HQ</th>                                         <td>    3.1059</td> <td>    2.933</td> <td>    1.059</td> <td> 0.290</td> <td>   -2.654</td> <td>    8.866</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Age</th>                                               <td>    0.0325</td> <td>    0.030</td> <td>    1.084</td> <td> 0.279</td> <td>   -0.026</td> <td>    0.091</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>has_python</th>                                        <td>    9.0975</td> <td>    2.571</td> <td>    3.538</td> <td> 0.000</td> <td>    4.048</td> <td>   14.147</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>has_spark</th>                                         <td>   -0.6443</td> <td>    2.908</td> <td>   -0.222</td> <td> 0.825</td> <td>   -6.356</td> <td>    5.068</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>has_sql</th>                                           <td>   -1.4930</td> <td>    2.648</td> <td>   -0.564</td> <td> 0.573</td> <td>   -6.693</td> <td>    3.707</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>has_excel</th>                                         <td>    0.2432</td> <td>    2.258</td> <td>    0.108</td> <td> 0.914</td> <td>   -4.192</td> <td>    4.678</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>has_aws</th>                                           <td>    0.3701</td> <td>    2.724</td> <td>    0.136</td> <td> 0.892</td> <td>   -4.980</td> <td>    5.720</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>has_tableau</th>                                       <td>   -6.0825</td> <td>    3.043</td> <td>   -1.999</td> <td> 0.046</td> <td>  -12.059</td> <td>   -0.106</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>desc_len</th>                                          <td>   -0.0002</td> <td>    0.001</td> <td>   -0.332</td> <td> 0.740</td> <td>   -0.002</td> <td>    0.001</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Size_-1</th>                                           <td>   13.3795</td> <td>    8.608</td> <td>    1.554</td> <td> 0.121</td> <td>   -3.526</td> <td>   30.285</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Size_1 to 50 employees</th>                            <td>    1.5736</td> <td>    6.452</td> <td>    0.244</td> <td> 0.807</td> <td>  -11.098</td> <td>   14.245</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Size_10000+ employees</th>                             <td>   -4.0985</td> <td>    5.808</td> <td>   -0.706</td> <td> 0.481</td> <td>  -15.506</td> <td>    7.309</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Size_1001 to 5000 employees</th>                       <td>    6.9417</td> <td>    3.892</td> <td>    1.783</td> <td> 0.075</td> <td>   -0.703</td> <td>   14.586</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Size_201 to 500 employees</th>                         <td>    3.1907</td> <td>    3.908</td> <td>    0.816</td> <td> 0.415</td> <td>   -4.485</td> <td>   10.866</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Size_5001 to 10000 employees</th>                      <td>   -6.4263</td> <td>    5.438</td> <td>   -1.182</td> <td> 0.238</td> <td>  -17.106</td> <td>    4.253</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Size_501 to 1000 employees</th>                        <td>    3.1496</td> <td>    4.100</td> <td>    0.768</td> <td> 0.443</td> <td>   -4.903</td> <td>   11.202</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Size_51 to 200 employees</th>                          <td>    4.8971</td> <td>    4.399</td> <td>    1.113</td> <td> 0.266</td> <td>   -3.743</td> <td>   13.537</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Size_Unknown</th>                                      <td>   21.1171</td> <td>   14.025</td> <td>    1.506</td> <td> 0.133</td> <td>   -6.428</td> <td>   48.662</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Type of ownership_-1</th>                              <td>   13.3795</td> <td>    8.608</td> <td>    1.554</td> <td> 0.121</td> <td>   -3.526</td> <td>   30.285</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Type of ownership_College / University</th>            <td>   -0.3749</td> <td>   17.815</td> <td>   -0.021</td> <td> 0.983</td> <td>  -35.362</td> <td>   34.612</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Type of ownership_Company - Private</th>               <td>    9.1362</td> <td>    5.226</td> <td>    1.748</td> <td> 0.081</td> <td>   -1.127</td> <td>   19.399</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Type of ownership_Company - Public</th>                <td>   13.9997</td> <td>    5.691</td> <td>    2.460</td> <td> 0.014</td> <td>    2.823</td> <td>   25.176</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Type of ownership_Government</th>                      <td>  -12.5161</td> <td>   15.312</td> <td>   -0.817</td> <td> 0.414</td> <td>  -42.588</td> <td>   17.555</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Type of ownership_Hospital</th>                        <td>   -5.5548</td> <td>    9.963</td> <td>   -0.558</td> <td> 0.577</td> <td>  -25.122</td> <td>   14.012</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Type of ownership_Nonprofit Organization</th>          <td>   -7.8314</td> <td>    6.719</td> <td>   -1.166</td> <td> 0.244</td> <td>  -21.028</td> <td>    5.365</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Type of ownership_Other Organization</th>              <td>   -4.4314</td> <td>   14.300</td> <td>   -0.310</td> <td> 0.757</td> <td>  -32.515</td> <td>   23.652</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Type of ownership_School / School District</th>        <td>  -11.2126</td> <td>   23.801</td> <td>   -0.471</td> <td> 0.638</td> <td>  -57.956</td> <td>   35.531</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Type of ownership_Subsidiary or Business Segment</th>  <td>   13.5858</td> <td>    6.893</td> <td>    1.971</td> <td> 0.049</td> <td>    0.047</td> <td>   27.124</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Type of ownership_Unknown</th>                         <td>   35.5445</td> <td>   28.483</td> <td>    1.248</td> <td> 0.213</td> <td>  -20.394</td> <td>   91.483</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_-1</th>                                       <td>    5.4426</td> <td>    7.888</td> <td>    0.690</td> <td> 0.490</td> <td>  -10.048</td> <td>   20.933</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Accounting</th>                               <td>    3.0036</td> <td>   13.467</td> <td>    0.223</td> <td> 0.824</td> <td>  -23.445</td> <td>   29.452</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Advertising & Marketing</th>                  <td>   14.2815</td> <td>    5.974</td> <td>    2.391</td> <td> 0.017</td> <td>    2.549</td> <td>   26.014</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Aerospace & Defense</th>                      <td>    5.5697</td> <td>    3.094</td> <td>    1.800</td> <td> 0.072</td> <td>   -0.506</td> <td>   11.646</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Architectural & Engineering Services</th>     <td>  -35.2246</td> <td>   15.752</td> <td>   -2.236</td> <td> 0.026</td> <td>  -66.161</td> <td>   -4.288</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Auctions & Galleries</th>                     <td>    9.5502</td> <td>   22.774</td> <td>    0.419</td> <td> 0.675</td> <td>  -35.177</td> <td>   54.277</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Banks & Credit Unions</th>                    <td>  -17.4171</td> <td>    8.012</td> <td>   -2.174</td> <td> 0.030</td> <td>  -33.152</td> <td>   -1.682</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Beauty & Personal Accessories Stores</th>     <td>   15.4417</td> <td>   21.490</td> <td>    0.719</td> <td> 0.473</td> <td>  -26.764</td> <td>   57.647</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Biotech & Pharmaceuticals</th>                <td>    6.0772</td> <td>    2.078</td> <td>    2.924</td> <td> 0.004</td> <td>    1.996</td> <td>   10.159</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Brokerage Services</th>                       <td>   28.8922</td> <td>   15.429</td> <td>    1.873</td> <td> 0.062</td> <td>   -1.410</td> <td>   59.194</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Colleges & Universities</th>                  <td>   13.2760</td> <td>   12.947</td> <td>    1.025</td> <td> 0.306</td> <td>  -12.151</td> <td>   38.703</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Computer Hardware & Software</th>             <td>   -0.2499</td> <td>    3.250</td> <td>   -0.077</td> <td> 0.939</td> <td>   -6.633</td> <td>    6.133</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Construction</th>                             <td>  -14.2982</td> <td>   10.509</td> <td>   -1.361</td> <td> 0.174</td> <td>  -34.938</td> <td>    6.342</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Consulting</th>                               <td>   16.4960</td> <td>    6.038</td> <td>    2.732</td> <td> 0.006</td> <td>    4.638</td> <td>   28.354</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Consumer Product Rental</th>                  <td>   -3.2340</td> <td>   12.973</td> <td>   -0.249</td> <td> 0.803</td> <td>  -28.712</td> <td>   22.244</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Consumer Products Manufacturing</th>          <td>   14.1971</td> <td>    9.685</td> <td>    1.466</td> <td> 0.143</td> <td>   -4.825</td> <td>   33.219</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Department, Clothing, & Shoe Stores</th>      <td>    5.4640</td> <td>   11.565</td> <td>    0.472</td> <td> 0.637</td> <td>  -17.250</td> <td>   28.178</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Education Training Services</th>              <td>  -22.4003</td> <td>   12.492</td> <td>   -1.793</td> <td> 0.073</td> <td>  -46.933</td> <td>    2.133</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Energy</th>                                   <td>   -6.9703</td> <td>    7.712</td> <td>   -0.904</td> <td> 0.366</td> <td>  -22.115</td> <td>    8.175</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Enterprise Software & Network Solutions</th>  <td>    8.7880</td> <td>    3.595</td> <td>    2.444</td> <td> 0.015</td> <td>    1.727</td> <td>   15.849</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Farm Support Services</th>                    <td>   -1.1139</td> <td>   12.582</td> <td>   -0.089</td> <td> 0.929</td> <td>  -25.824</td> <td>   23.596</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Federal Agencies</th>                         <td>   10.0900</td> <td>    5.257</td> <td>    1.919</td> <td> 0.055</td> <td>   -0.235</td> <td>   20.415</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Financial Analytics & Research</th>           <td>    0.0402</td> <td>    9.143</td> <td>    0.004</td> <td> 0.996</td> <td>  -17.916</td> <td>   17.996</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Financial Transaction Processing</th>         <td>  -18.9877</td> <td>   12.803</td> <td>   -1.483</td> <td> 0.139</td> <td>  -44.132</td> <td>    6.156</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Food & Beverage Manufacturing</th>            <td>   -5.4942</td> <td>   11.620</td> <td>   -0.473</td> <td> 0.637</td> <td>  -28.315</td> <td>   17.326</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Gambling</th>                                 <td>   -7.1138</td> <td>    6.530</td> <td>   -1.089</td> <td> 0.276</td> <td>  -19.939</td> <td>    5.711</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Gas Stations</th>                             <td>  -23.6198</td> <td>   15.730</td> <td>   -1.502</td> <td> 0.134</td> <td>  -54.513</td> <td>    7.273</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Health Care Products Manufacturing</th>       <td>   27.9881</td> <td>   22.131</td> <td>    1.265</td> <td> 0.206</td> <td>  -15.477</td> <td>   71.453</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Health Care Services & Hospitals</th>         <td>    6.0119</td> <td>    2.892</td> <td>    2.078</td> <td> 0.038</td> <td>    0.331</td> <td>   11.692</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Health, Beauty, & Fitness</th>                <td>   -1.5851</td> <td>   17.403</td> <td>   -0.091</td> <td> 0.927</td> <td>  -35.764</td> <td>   32.594</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_IT Services</th>                              <td>    2.6068</td> <td>    3.592</td> <td>    0.726</td> <td> 0.468</td> <td>   -4.448</td> <td>    9.662</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Industrial Manufacturing</th>                 <td>  -14.7876</td> <td>   12.966</td> <td>   -1.140</td> <td> 0.255</td> <td>  -40.253</td> <td>   10.678</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Insurance Agencies & Brokerages</th>          <td>   -4.1216</td> <td>    6.991</td> <td>   -0.590</td> <td> 0.556</td> <td>  -17.851</td> <td>    9.608</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Insurance Carriers</th>                       <td>    5.5391</td> <td>    4.476</td> <td>    1.237</td> <td> 0.216</td> <td>   -3.252</td> <td>   14.330</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Internet</th>                                 <td>   -0.8354</td> <td>    4.575</td> <td>   -0.183</td> <td> 0.855</td> <td>   -9.820</td> <td>    8.149</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Investment Banking & Asset Management</th>    <td>   36.1198</td> <td>   12.026</td> <td>    3.004</td> <td> 0.003</td> <td>   12.502</td> <td>   59.737</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_K-12 Education</th>                           <td>   10.1931</td> <td>   14.704</td> <td>    0.693</td> <td> 0.488</td> <td>  -18.684</td> <td>   39.070</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Lending</th>                                  <td>   -0.1951</td> <td>    9.861</td> <td>   -0.020</td> <td> 0.984</td> <td>  -19.561</td> <td>   19.171</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Logistics & Supply Chain</th>                 <td>    2.1074</td> <td>   13.334</td> <td>    0.158</td> <td> 0.874</td> <td>  -24.081</td> <td>   28.296</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Metals Brokers</th>                           <td>   -0.5502</td> <td>   15.752</td> <td>   -0.035</td> <td> 0.972</td> <td>  -31.486</td> <td>   30.386</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Mining</th>                                   <td>   -8.9664</td> <td>   17.999</td> <td>   -0.498</td> <td> 0.619</td> <td>  -44.315</td> <td>   26.382</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Motion Picture Production & Distribution</th> <td>   41.9362</td> <td>   19.587</td> <td>    2.141</td> <td> 0.033</td> <td>    3.468</td> <td>   80.404</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Other Retail Stores</th>                      <td>   36.8611</td> <td>   21.447</td> <td>    1.719</td> <td> 0.086</td> <td>   -5.260</td> <td>   78.982</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Real Estate</th>                              <td>   -2.6470</td> <td>    4.912</td> <td>   -0.539</td> <td> 0.590</td> <td>  -12.294</td> <td>    7.000</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Religious Organizations</th>                  <td>   25.4938</td> <td>   13.634</td> <td>    1.870</td> <td> 0.062</td> <td>   -1.282</td> <td>   52.270</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Research & Development</th>                   <td>   -3.2770</td> <td>    6.509</td> <td>   -0.503</td> <td> 0.615</td> <td>  -16.061</td> <td>    9.507</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Security Services</th>                        <td>   14.0542</td> <td>    9.744</td> <td>    1.442</td> <td> 0.150</td> <td>   -5.083</td> <td>   33.192</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Social Assistance</th>                        <td>  -12.6469</td> <td>   11.736</td> <td>   -1.078</td> <td> 0.282</td> <td>  -35.697</td> <td>   10.403</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Sporting Goods Stores</th>                    <td>  -38.5831</td> <td>   17.723</td> <td>   -2.177</td> <td> 0.030</td> <td>  -73.390</td> <td>   -3.776</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Staffing & Outsourcing</th>                   <td>   -8.2924</td> <td>   10.915</td> <td>   -0.760</td> <td> 0.448</td> <td>  -29.728</td> <td>   13.143</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Stock Exchanges</th>                          <td>  -15.2512</td> <td>    7.885</td> <td>   -1.934</td> <td> 0.054</td> <td>  -30.736</td> <td>    0.234</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_TV Broadcast & Cable Networks</th>            <td>    6.4689</td> <td>   15.630</td> <td>    0.414</td> <td> 0.679</td> <td>  -24.228</td> <td>   37.165</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Telecommunications Manufacturing</th>         <td>    4.4279</td> <td>   13.627</td> <td>    0.325</td> <td> 0.745</td> <td>  -22.335</td> <td>   31.191</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Telecommunications Services</th>              <td>   -0.9408</td> <td>   11.208</td> <td>   -0.084</td> <td> 0.933</td> <td>  -22.952</td> <td>   21.070</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Transportation Equipment Manufacturing</th>   <td>  -23.4192</td> <td>   23.619</td> <td>   -0.992</td> <td> 0.322</td> <td>  -69.806</td> <td>   22.967</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Transportation Management</th>                <td>  -24.3332</td> <td>   13.973</td> <td>   -1.741</td> <td> 0.082</td> <td>  -51.776</td> <td>    3.109</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Travel Agencies</th>                          <td>   -6.7610</td> <td>    5.222</td> <td>   -1.295</td> <td> 0.196</td> <td>  -17.016</td> <td>    3.494</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Trucking</th>                                 <td>   25.6482</td> <td>   19.786</td> <td>    1.296</td> <td> 0.195</td> <td>  -13.210</td> <td>   64.506</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Video Games</th>                              <td>  -32.2451</td> <td>   14.444</td> <td>   -2.232</td> <td> 0.026</td> <td>  -60.612</td> <td>   -3.878</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Industry_Wholesale</th>                                <td>   -2.7802</td> <td>   13.013</td> <td>   -0.214</td> <td> 0.831</td> <td>  -28.337</td> <td>   22.776</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_-1</th>                                         <td>    5.4426</td> <td>    7.888</td> <td>    0.690</td> <td> 0.490</td> <td>  -10.048</td> <td>   20.933</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Accounting & Legal</th>                         <td>    3.0036</td> <td>   13.467</td> <td>    0.223</td> <td> 0.824</td> <td>  -23.445</td> <td>   29.452</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Aerospace & Defense</th>                        <td>    5.5697</td> <td>    3.094</td> <td>    1.800</td> <td> 0.072</td> <td>   -0.506</td> <td>   11.646</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Agriculture & Forestry</th>                     <td>   -1.1139</td> <td>   12.582</td> <td>   -0.089</td> <td> 0.929</td> <td>  -25.824</td> <td>   23.596</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Arts, Entertainment & Recreation</th>           <td>   -7.1138</td> <td>    6.530</td> <td>   -1.089</td> <td> 0.276</td> <td>  -19.939</td> <td>    5.711</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Biotech & Pharmaceuticals</th>                  <td>    6.0772</td> <td>    2.078</td> <td>    2.924</td> <td> 0.004</td> <td>    1.996</td> <td>   10.159</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Business Services</th>                          <td>   -4.7424</td> <td>    4.194</td> <td>   -1.131</td> <td> 0.259</td> <td>  -12.980</td> <td>    3.495</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Construction, Repair & Maintenance</th>         <td>  -14.2982</td> <td>   10.509</td> <td>   -1.361</td> <td> 0.174</td> <td>  -34.938</td> <td>    6.342</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Consumer Services</th>                          <td>   -4.8192</td> <td>    9.447</td> <td>   -0.510</td> <td> 0.610</td> <td>  -23.372</td> <td>   13.733</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Education</th>                                  <td>    1.0688</td> <td>    6.898</td> <td>    0.155</td> <td> 0.877</td> <td>  -12.478</td> <td>   14.615</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Finance</th>                                    <td>   13.2012</td> <td>    4.497</td> <td>    2.935</td> <td> 0.003</td> <td>    4.368</td> <td>   22.034</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Government</th>                                 <td>   10.0900</td> <td>    5.257</td> <td>    1.919</td> <td> 0.055</td> <td>   -0.235</td> <td>   20.415</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Health Care</th>                                <td>    6.0119</td> <td>    2.892</td> <td>    2.078</td> <td> 0.038</td> <td>    0.331</td> <td>   11.692</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Information Technology</th>                     <td>   10.3094</td> <td>    2.762</td> <td>    3.733</td> <td> 0.000</td> <td>    4.886</td> <td>   15.733</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Insurance</th>                                  <td>    1.4175</td> <td>    3.916</td> <td>    0.362</td> <td> 0.718</td> <td>   -6.274</td> <td>    9.109</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Manufacturing</th>                              <td>   -1.5157</td> <td>    6.910</td> <td>   -0.219</td> <td> 0.826</td> <td>  -15.086</td> <td>   12.054</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Media</th>                                      <td>   16.1600</td> <td>    8.688</td> <td>    1.860</td> <td> 0.063</td> <td>   -0.902</td> <td>   33.222</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Mining & Metals</th>                            <td>   -9.5165</td> <td>   10.691</td> <td>   -0.890</td> <td> 0.374</td> <td>  -30.513</td> <td>   11.480</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Non-Profit</th>                                 <td>   12.8469</td> <td>    8.855</td> <td>    1.451</td> <td> 0.147</td> <td>   -4.544</td> <td>   30.238</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Oil, Gas, Energy & Utilities</th>               <td>   -6.9703</td> <td>    7.712</td> <td>   -0.904</td> <td> 0.366</td> <td>  -22.115</td> <td>    8.175</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Real Estate</th>                                <td>   -2.6470</td> <td>    4.912</td> <td>   -0.539</td> <td> 0.590</td> <td>  -12.294</td> <td>    7.000</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Retail</th>                                     <td>    5.1141</td> <td>    7.238</td> <td>    0.707</td> <td> 0.480</td> <td>   -9.101</td> <td>   19.329</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Telecommunications</th>                         <td>    3.4871</td> <td>    7.787</td> <td>    0.448</td> <td> 0.654</td> <td>  -11.806</td> <td>   18.780</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Transportation & Logistics</th>                 <td>    3.4225</td> <td>    8.062</td> <td>    0.425</td> <td> 0.671</td> <td>  -12.410</td> <td>   19.255</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sector_Travel & Tourism</th>                           <td>   -6.7610</td> <td>    5.222</td> <td>   -1.295</td> <td> 0.196</td> <td>  -17.016</td> <td>    3.494</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Revenue_$1 to $2 billion (USD)</th>                    <td>    3.0894</td> <td>    4.766</td> <td>    0.648</td> <td> 0.517</td> <td>   -6.270</td> <td>   12.449</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Revenue_$1 to $5 million (USD)</th>                    <td>   -7.3978</td> <td>   10.905</td> <td>   -0.678</td> <td> 0.498</td> <td>  -28.814</td> <td>   14.019</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Revenue_$10 to $25 million (USD)</th>                  <td>   -5.2422</td> <td>    5.200</td> <td>   -1.008</td> <td> 0.314</td> <td>  -15.454</td> <td>    4.970</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Revenue_$10+ billion (USD)</th>                        <td>   12.7562</td> <td>    6.394</td> <td>    1.995</td> <td> 0.047</td> <td>    0.198</td> <td>   25.314</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Revenue_$100 to $500 million (USD)</th>                <td>   -4.5995</td> <td>    4.037</td> <td>   -1.139</td> <td> 0.255</td> <td>  -12.528</td> <td>    3.329</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Revenue_$2 to $5 billion (USD)</th>                    <td>    1.8019</td> <td>    6.259</td> <td>    0.288</td> <td> 0.774</td> <td>  -10.490</td> <td>   14.094</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Revenue_$25 to $50 million (USD)</th>                  <td>   -6.1524</td> <td>    5.363</td> <td>   -1.147</td> <td> 0.252</td> <td>  -16.686</td> <td>    4.381</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Revenue_$5 to $10 billion (USD)</th>                   <td>   10.0934</td> <td>    7.859</td> <td>    1.284</td> <td> 0.200</td> <td>   -5.341</td> <td>   25.527</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Revenue_$5 to $10 million (USD)</th>                   <td>   30.2657</td> <td>    8.269</td> <td>    3.660</td> <td> 0.000</td> <td>   14.026</td> <td>   46.506</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Revenue_$50 to $100 million (USD)</th>                 <td>    4.4396</td> <td>    4.942</td> <td>    0.898</td> <td> 0.369</td> <td>   -5.266</td> <td>   14.145</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Revenue_$500 million to $1 billion (USD)</th>          <td>   -1.8615</td> <td>    5.288</td> <td>   -0.352</td> <td> 0.725</td> <td>  -12.246</td> <td>    8.523</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Revenue_-1</th>                                        <td>   13.3795</td> <td>    8.608</td> <td>    1.554</td> <td> 0.121</td> <td>   -3.526</td> <td>   30.285</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Revenue_Less than $1 million (USD)</th>                <td>   -5.8956</td> <td>   15.119</td> <td>   -0.390</td> <td> 0.697</td> <td>  -35.589</td> <td>   23.798</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Revenue_Unknown / Non-Applicable</th>                  <td>   -0.9519</td> <td>    3.051</td> <td>   -0.312</td> <td> 0.755</td> <td>   -6.943</td> <td>    5.039</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_AL</th>                                          <td>   -7.2877</td> <td>   10.452</td> <td>   -0.697</td> <td> 0.486</td> <td>  -27.815</td> <td>   13.240</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_AZ</th>                                          <td>  -15.7003</td> <td>    8.634</td> <td>   -1.818</td> <td> 0.069</td> <td>  -32.657</td> <td>    1.256</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_CA</th>                                          <td>   26.5431</td> <td>    3.252</td> <td>    8.162</td> <td> 0.000</td> <td>   20.157</td> <td>   32.930</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_CO</th>                                          <td>    8.9750</td> <td>    8.285</td> <td>    1.083</td> <td> 0.279</td> <td>   -7.296</td> <td>   25.246</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_CT</th>                                          <td>  -25.9032</td> <td>   11.379</td> <td>   -2.276</td> <td> 0.023</td> <td>  -48.250</td> <td>   -3.556</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_DC</th>                                          <td>   13.0139</td> <td>    8.044</td> <td>    1.618</td> <td> 0.106</td> <td>   -2.784</td> <td>   28.812</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_DE</th>                                          <td>    9.4546</td> <td>   13.846</td> <td>    0.683</td> <td> 0.495</td> <td>  -17.737</td> <td>   36.647</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_FL</th>                                          <td>  -17.3225</td> <td>    7.605</td> <td>   -2.278</td> <td> 0.023</td> <td>  -32.258</td> <td>   -2.387</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_GA</th>                                          <td>  -18.5958</td> <td>   10.054</td> <td>   -1.850</td> <td> 0.065</td> <td>  -38.341</td> <td>    1.149</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_IA</th>                                          <td>   -0.1445</td> <td>   12.413</td> <td>   -0.012</td> <td> 0.991</td> <td>  -24.524</td> <td>   24.235</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_ID</th>                                          <td>  -22.8706</td> <td>   18.194</td> <td>   -1.257</td> <td> 0.209</td> <td>  -58.602</td> <td>   12.861</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_IL</th>                                          <td>   10.5632</td> <td>    5.015</td> <td>    2.106</td> <td> 0.036</td> <td>    0.713</td> <td>   20.413</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_IN</th>                                          <td>  -11.1466</td> <td>    8.775</td> <td>   -1.270</td> <td> 0.204</td> <td>  -28.380</td> <td>    6.086</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_KS</th>                                          <td>  -15.2512</td> <td>    7.885</td> <td>   -1.934</td> <td> 0.054</td> <td>  -30.736</td> <td>    0.234</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_KY</th>                                          <td>   21.1690</td> <td>   12.321</td> <td>    1.718</td> <td> 0.086</td> <td>   -3.028</td> <td>   45.366</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_LA</th>                                          <td>   -8.5365</td> <td>   13.071</td> <td>   -0.653</td> <td> 0.514</td> <td>  -34.208</td> <td>   17.135</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_MA</th>                                          <td>    3.0252</td> <td>    3.921</td> <td>    0.772</td> <td> 0.441</td> <td>   -4.675</td> <td>   10.725</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_MD</th>                                          <td>    6.4775</td> <td>    4.973</td> <td>    1.302</td> <td> 0.193</td> <td>   -3.290</td> <td>   16.245</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_MI</th>                                          <td>    6.4040</td> <td>   12.238</td> <td>    0.523</td> <td> 0.601</td> <td>  -17.630</td> <td>   30.438</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_MN</th>                                          <td>    5.1735</td> <td>   17.230</td> <td>    0.300</td> <td> 0.764</td> <td>  -28.666</td> <td>   39.013</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_MO</th>                                          <td>   12.6123</td> <td>    9.865</td> <td>    1.279</td> <td> 0.202</td> <td>   -6.761</td> <td>   31.986</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_NC</th>                                          <td>   -4.7398</td> <td>    6.729</td> <td>   -0.704</td> <td> 0.481</td> <td>  -17.956</td> <td>    8.476</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_NE</th>                                          <td>   -3.4029</td> <td>   13.363</td> <td>   -0.255</td> <td> 0.799</td> <td>  -29.647</td> <td>   22.842</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_NJ</th>                                          <td>    2.0860</td> <td>    6.801</td> <td>    0.307</td> <td> 0.759</td> <td>  -11.272</td> <td>   15.444</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_NM</th>                                          <td>  -28.5725</td> <td>   14.500</td> <td>   -1.971</td> <td> 0.049</td> <td>  -57.050</td> <td>   -0.095</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_NY</th>                                          <td>    5.4630</td> <td>    4.004</td> <td>    1.364</td> <td> 0.173</td> <td>   -2.402</td> <td>   13.328</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_OH</th>                                          <td>   -3.3697</td> <td>    8.171</td> <td>   -0.412</td> <td> 0.680</td> <td>  -19.417</td> <td>   12.678</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_OR</th>                                          <td>    4.6361</td> <td>   12.620</td> <td>    0.367</td> <td> 0.713</td> <td>  -20.148</td> <td>   29.420</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_PA</th>                                          <td>   10.6077</td> <td>    7.205</td> <td>    1.472</td> <td> 0.141</td> <td>   -3.542</td> <td>   24.758</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_RI</th>                                          <td>   39.1878</td> <td>   24.625</td> <td>    1.591</td> <td> 0.112</td> <td>   -9.174</td> <td>   87.550</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_SC</th>                                          <td>   34.4308</td> <td>   29.136</td> <td>    1.182</td> <td> 0.238</td> <td>  -22.791</td> <td>   91.652</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_TN</th>                                          <td>   -6.1963</td> <td>    9.372</td> <td>   -0.661</td> <td> 0.509</td> <td>  -24.603</td> <td>   12.210</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_TX</th>                                          <td>   -0.0809</td> <td>    5.603</td> <td>   -0.014</td> <td> 0.988</td> <td>  -11.085</td> <td>   10.923</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_UT</th>                                          <td>    4.7533</td> <td>   14.758</td> <td>    0.322</td> <td> 0.747</td> <td>  -24.230</td> <td>   33.737</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_VA</th>                                          <td>   -1.9201</td> <td>    5.031</td> <td>   -0.382</td> <td> 0.703</td> <td>  -11.800</td> <td>    7.960</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_WA</th>                                          <td>   13.8189</td> <td>    8.102</td> <td>    1.706</td> <td> 0.089</td> <td>   -2.093</td> <td>   29.731</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>State_WI</th>                                          <td>   -3.6297</td> <td>   10.073</td> <td>   -0.360</td> <td> 0.719</td> <td>  -23.413</td> <td>   16.154</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>title_simp_analyst</th>                                <td>  -30.6272</td> <td>    3.356</td> <td>   -9.126</td> <td> 0.000</td> <td>  -37.219</td> <td>  -24.036</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>title_simp_data engineer</th>                          <td>    2.9444</td> <td>    3.232</td> <td>    0.911</td> <td> 0.363</td> <td>   -3.402</td> <td>    9.291</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>title_simp_data scientist</th>                         <td>    8.5334</td> <td>    2.513</td> <td>    3.396</td> <td> 0.001</td> <td>    3.599</td> <td>   13.468</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>title_simp_director</th>                               <td>   67.0907</td> <td>    6.619</td> <td>   10.137</td> <td> 0.000</td> <td>   54.092</td> <td>   80.089</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>title_simp_manager</th>                                <td>  -13.0756</td> <td>    5.651</td> <td>   -2.314</td> <td> 0.021</td> <td>  -24.173</td> <td>   -1.978</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>title_simp_mle</th>                                    <td>   20.4129</td> <td>    6.061</td> <td>    3.368</td> <td> 0.001</td> <td>    8.509</td> <td>   32.317</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>title_simp_na</th>                                     <td>  -11.5540</td> <td>    2.946</td> <td>   -3.922</td> <td> 0.000</td> <td>  -17.339</td> <td>   -5.769</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>seniority_junior</th>                                  <td>   10.8472</td> <td>   10.994</td> <td>    0.987</td> <td> 0.324</td> <td>  -10.745</td> <td>   32.439</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>seniority_na</th>                                      <td>    3.6485</td> <td>    4.392</td> <td>    0.831</td> <td> 0.407</td> <td>   -4.978</td> <td>   12.275</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>seniority_senior</th>                                  <td>   29.2288</td> <td>    4.649</td> <td>    6.288</td> <td> 0.000</td> <td>   20.099</td> <td>   38.358</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td>68.464</td> <th>  Durbin-Watson:     </th> <td>   2.062</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.000</td> <th>  Jarque-Bera (JB):  </th> <td> 279.440</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td> 0.318</td> <th>  Prob(JB):          </th> <td>2.09e-61</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 5.938</td> <th>  Cond. No.          </th> <td>2.06e+18</td>\n",
       "</tr>\n",
       "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.<br/>[2] The smallest eigenvalue is 3.07e-27. This might indicate that there are<br/>strong multicollinearity problems or that the design matrix is singular."
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                      y   R-squared:                       0.692\n",
       "Model:                            OLS   Adj. R-squared:                  0.617\n",
       "Method:                 Least Squares   F-statistic:                     9.304\n",
       "Date:                Thu, 17 Feb 2022   Prob (F-statistic):           2.32e-87\n",
       "Time:                        16:28:06   Log-Likelihood:                -3305.9\n",
       "No. Observations:                 742   AIC:                             6902.\n",
       "Df Residuals:                     597   BIC:                             7570.\n",
       "Df Model:                         144                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "=====================================================================================================================\n",
       "                                                        coef    std err          t      P>|t|      [0.025      0.975]\n",
       "---------------------------------------------------------------------------------------------------------------------\n",
       "const                                                43.7244      6.382      6.851      0.000      31.191      56.258\n",
       "Rating                                                3.3900      1.923      1.763      0.078      -0.387       7.167\n",
       "num_competitors                                       2.2084      0.864      2.556      0.011       0.512       3.905\n",
       "hourly                                              -14.2118      9.139     -1.555      0.120     -32.161       3.738\n",
       "Employer Provided Sal                                31.6724     11.532      2.747      0.006       9.024      54.320\n",
       "job_in_HQ                                             3.1059      2.933      1.059      0.290      -2.654       8.866\n",
       "Age                                                   0.0325      0.030      1.084      0.279      -0.026       0.091\n",
       "has_python                                            9.0975      2.571      3.538      0.000       4.048      14.147\n",
       "has_spark                                            -0.6443      2.908     -0.222      0.825      -6.356       5.068\n",
       "has_sql                                              -1.4930      2.648     -0.564      0.573      -6.693       3.707\n",
       "has_excel                                             0.2432      2.258      0.108      0.914      -4.192       4.678\n",
       "has_aws                                               0.3701      2.724      0.136      0.892      -4.980       5.720\n",
       "has_tableau                                          -6.0825      3.043     -1.999      0.046     -12.059      -0.106\n",
       "desc_len                                             -0.0002      0.001     -0.332      0.740      -0.002       0.001\n",
       "Size_-1                                              13.3795      8.608      1.554      0.121      -3.526      30.285\n",
       "Size_1 to 50 employees                                1.5736      6.452      0.244      0.807     -11.098      14.245\n",
       "Size_10000+ employees                                -4.0985      5.808     -0.706      0.481     -15.506       7.309\n",
       "Size_1001 to 5000 employees                           6.9417      3.892      1.783      0.075      -0.703      14.586\n",
       "Size_201 to 500 employees                             3.1907      3.908      0.816      0.415      -4.485      10.866\n",
       "Size_5001 to 10000 employees                         -6.4263      5.438     -1.182      0.238     -17.106       4.253\n",
       "Size_501 to 1000 employees                            3.1496      4.100      0.768      0.443      -4.903      11.202\n",
       "Size_51 to 200 employees                              4.8971      4.399      1.113      0.266      -3.743      13.537\n",
       "Size_Unknown                                         21.1171     14.025      1.506      0.133      -6.428      48.662\n",
       "Type of ownership_-1                                 13.3795      8.608      1.554      0.121      -3.526      30.285\n",
       "Type of ownership_College / University               -0.3749     17.815     -0.021      0.983     -35.362      34.612\n",
       "Type of ownership_Company - Private                   9.1362      5.226      1.748      0.081      -1.127      19.399\n",
       "Type of ownership_Company - Public                   13.9997      5.691      2.460      0.014       2.823      25.176\n",
       "Type of ownership_Government                        -12.5161     15.312     -0.817      0.414     -42.588      17.555\n",
       "Type of ownership_Hospital                           -5.5548      9.963     -0.558      0.577     -25.122      14.012\n",
       "Type of ownership_Nonprofit Organization             -7.8314      6.719     -1.166      0.244     -21.028       5.365\n",
       "Type of ownership_Other Organization                 -4.4314     14.300     -0.310      0.757     -32.515      23.652\n",
       "Type of ownership_School / School District          -11.2126     23.801     -0.471      0.638     -57.956      35.531\n",
       "Type of ownership_Subsidiary or Business Segment     13.5858      6.893      1.971      0.049       0.047      27.124\n",
       "Type of ownership_Unknown                            35.5445     28.483      1.248      0.213     -20.394      91.483\n",
       "Industry_-1                                           5.4426      7.888      0.690      0.490     -10.048      20.933\n",
       "Industry_Accounting                                   3.0036     13.467      0.223      0.824     -23.445      29.452\n",
       "Industry_Advertising & Marketing                     14.2815      5.974      2.391      0.017       2.549      26.014\n",
       "Industry_Aerospace & Defense                          5.5697      3.094      1.800      0.072      -0.506      11.646\n",
       "Industry_Architectural & Engineering Services       -35.2246     15.752     -2.236      0.026     -66.161      -4.288\n",
       "Industry_Auctions & Galleries                         9.5502     22.774      0.419      0.675     -35.177      54.277\n",
       "Industry_Banks & Credit Unions                      -17.4171      8.012     -2.174      0.030     -33.152      -1.682\n",
       "Industry_Beauty & Personal Accessories Stores        15.4417     21.490      0.719      0.473     -26.764      57.647\n",
       "Industry_Biotech & Pharmaceuticals                    6.0772      2.078      2.924      0.004       1.996      10.159\n",
       "Industry_Brokerage Services                          28.8922     15.429      1.873      0.062      -1.410      59.194\n",
       "Industry_Colleges & Universities                     13.2760     12.947      1.025      0.306     -12.151      38.703\n",
       "Industry_Computer Hardware & Software                -0.2499      3.250     -0.077      0.939      -6.633       6.133\n",
       "Industry_Construction                               -14.2982     10.509     -1.361      0.174     -34.938       6.342\n",
       "Industry_Consulting                                  16.4960      6.038      2.732      0.006       4.638      28.354\n",
       "Industry_Consumer Product Rental                     -3.2340     12.973     -0.249      0.803     -28.712      22.244\n",
       "Industry_Consumer Products Manufacturing             14.1971      9.685      1.466      0.143      -4.825      33.219\n",
       "Industry_Department, Clothing, & Shoe Stores          5.4640     11.565      0.472      0.637     -17.250      28.178\n",
       "Industry_Education Training Services                -22.4003     12.492     -1.793      0.073     -46.933       2.133\n",
       "Industry_Energy                                      -6.9703      7.712     -0.904      0.366     -22.115       8.175\n",
       "Industry_Enterprise Software & Network Solutions      8.7880      3.595      2.444      0.015       1.727      15.849\n",
       "Industry_Farm Support Services                       -1.1139     12.582     -0.089      0.929     -25.824      23.596\n",
       "Industry_Federal Agencies                            10.0900      5.257      1.919      0.055      -0.235      20.415\n",
       "Industry_Financial Analytics & Research               0.0402      9.143      0.004      0.996     -17.916      17.996\n",
       "Industry_Financial Transaction Processing           -18.9877     12.803     -1.483      0.139     -44.132       6.156\n",
       "Industry_Food & Beverage Manufacturing               -5.4942     11.620     -0.473      0.637     -28.315      17.326\n",
       "Industry_Gambling                                    -7.1138      6.530     -1.089      0.276     -19.939       5.711\n",
       "Industry_Gas Stations                               -23.6198     15.730     -1.502      0.134     -54.513       7.273\n",
       "Industry_Health Care Products Manufacturing          27.9881     22.131      1.265      0.206     -15.477      71.453\n",
       "Industry_Health Care Services & Hospitals             6.0119      2.892      2.078      0.038       0.331      11.692\n",
       "Industry_Health, Beauty, & Fitness                   -1.5851     17.403     -0.091      0.927     -35.764      32.594\n",
       "Industry_IT Services                                  2.6068      3.592      0.726      0.468      -4.448       9.662\n",
       "Industry_Industrial Manufacturing                   -14.7876     12.966     -1.140      0.255     -40.253      10.678\n",
       "Industry_Insurance Agencies & Brokerages             -4.1216      6.991     -0.590      0.556     -17.851       9.608\n",
       "Industry_Insurance Carriers                           5.5391      4.476      1.237      0.216      -3.252      14.330\n",
       "Industry_Internet                                    -0.8354      4.575     -0.183      0.855      -9.820       8.149\n",
       "Industry_Investment Banking & Asset Management       36.1198     12.026      3.004      0.003      12.502      59.737\n",
       "Industry_K-12 Education                              10.1931     14.704      0.693      0.488     -18.684      39.070\n",
       "Industry_Lending                                     -0.1951      9.861     -0.020      0.984     -19.561      19.171\n",
       "Industry_Logistics & Supply Chain                     2.1074     13.334      0.158      0.874     -24.081      28.296\n",
       "Industry_Metals Brokers                              -0.5502     15.752     -0.035      0.972     -31.486      30.386\n",
       "Industry_Mining                                      -8.9664     17.999     -0.498      0.619     -44.315      26.382\n",
       "Industry_Motion Picture Production & Distribution    41.9362     19.587      2.141      0.033       3.468      80.404\n",
       "Industry_Other Retail Stores                         36.8611     21.447      1.719      0.086      -5.260      78.982\n",
       "Industry_Real Estate                                 -2.6470      4.912     -0.539      0.590     -12.294       7.000\n",
       "Industry_Religious Organizations                     25.4938     13.634      1.870      0.062      -1.282      52.270\n",
       "Industry_Research & Development                      -3.2770      6.509     -0.503      0.615     -16.061       9.507\n",
       "Industry_Security Services                           14.0542      9.744      1.442      0.150      -5.083      33.192\n",
       "Industry_Social Assistance                          -12.6469     11.736     -1.078      0.282     -35.697      10.403\n",
       "Industry_Sporting Goods Stores                      -38.5831     17.723     -2.177      0.030     -73.390      -3.776\n",
       "Industry_Staffing & Outsourcing                      -8.2924     10.915     -0.760      0.448     -29.728      13.143\n",
       "Industry_Stock Exchanges                            -15.2512      7.885     -1.934      0.054     -30.736       0.234\n",
       "Industry_TV Broadcast & Cable Networks                6.4689     15.630      0.414      0.679     -24.228      37.165\n",
       "Industry_Telecommunications Manufacturing             4.4279     13.627      0.325      0.745     -22.335      31.191\n",
       "Industry_Telecommunications Services                 -0.9408     11.208     -0.084      0.933     -22.952      21.070\n",
       "Industry_Transportation Equipment Manufacturing     -23.4192     23.619     -0.992      0.322     -69.806      22.967\n",
       "Industry_Transportation Management                  -24.3332     13.973     -1.741      0.082     -51.776       3.109\n",
       "Industry_Travel Agencies                             -6.7610      5.222     -1.295      0.196     -17.016       3.494\n",
       "Industry_Trucking                                    25.6482     19.786      1.296      0.195     -13.210      64.506\n",
       "Industry_Video Games                                -32.2451     14.444     -2.232      0.026     -60.612      -3.878\n",
       "Industry_Wholesale                                   -2.7802     13.013     -0.214      0.831     -28.337      22.776\n",
       "Sector_-1                                             5.4426      7.888      0.690      0.490     -10.048      20.933\n",
       "Sector_Accounting & Legal                             3.0036     13.467      0.223      0.824     -23.445      29.452\n",
       "Sector_Aerospace & Defense                            5.5697      3.094      1.800      0.072      -0.506      11.646\n",
       "Sector_Agriculture & Forestry                        -1.1139     12.582     -0.089      0.929     -25.824      23.596\n",
       "Sector_Arts, Entertainment & Recreation              -7.1138      6.530     -1.089      0.276     -19.939       5.711\n",
       "Sector_Biotech & Pharmaceuticals                      6.0772      2.078      2.924      0.004       1.996      10.159\n",
       "Sector_Business Services                             -4.7424      4.194     -1.131      0.259     -12.980       3.495\n",
       "Sector_Construction, Repair & Maintenance           -14.2982     10.509     -1.361      0.174     -34.938       6.342\n",
       "Sector_Consumer Services                             -4.8192      9.447     -0.510      0.610     -23.372      13.733\n",
       "Sector_Education                                      1.0688      6.898      0.155      0.877     -12.478      14.615\n",
       "Sector_Finance                                       13.2012      4.497      2.935      0.003       4.368      22.034\n",
       "Sector_Government                                    10.0900      5.257      1.919      0.055      -0.235      20.415\n",
       "Sector_Health Care                                    6.0119      2.892      2.078      0.038       0.331      11.692\n",
       "Sector_Information Technology                        10.3094      2.762      3.733      0.000       4.886      15.733\n",
       "Sector_Insurance                                      1.4175      3.916      0.362      0.718      -6.274       9.109\n",
       "Sector_Manufacturing                                 -1.5157      6.910     -0.219      0.826     -15.086      12.054\n",
       "Sector_Media                                         16.1600      8.688      1.860      0.063      -0.902      33.222\n",
       "Sector_Mining & Metals                               -9.5165     10.691     -0.890      0.374     -30.513      11.480\n",
       "Sector_Non-Profit                                    12.8469      8.855      1.451      0.147      -4.544      30.238\n",
       "Sector_Oil, Gas, Energy & Utilities                  -6.9703      7.712     -0.904      0.366     -22.115       8.175\n",
       "Sector_Real Estate                                   -2.6470      4.912     -0.539      0.590     -12.294       7.000\n",
       "Sector_Retail                                         5.1141      7.238      0.707      0.480      -9.101      19.329\n",
       "Sector_Telecommunications                             3.4871      7.787      0.448      0.654     -11.806      18.780\n",
       "Sector_Transportation & Logistics                     3.4225      8.062      0.425      0.671     -12.410      19.255\n",
       "Sector_Travel & Tourism                              -6.7610      5.222     -1.295      0.196     -17.016       3.494\n",
       "Revenue_$1 to $2 billion (USD)                        3.0894      4.766      0.648      0.517      -6.270      12.449\n",
       "Revenue_$1 to $5 million (USD)                       -7.3978     10.905     -0.678      0.498     -28.814      14.019\n",
       "Revenue_$10 to $25 million (USD)                     -5.2422      5.200     -1.008      0.314     -15.454       4.970\n",
       "Revenue_$10+ billion (USD)                           12.7562      6.394      1.995      0.047       0.198      25.314\n",
       "Revenue_$100 to $500 million (USD)                   -4.5995      4.037     -1.139      0.255     -12.528       3.329\n",
       "Revenue_$2 to $5 billion (USD)                        1.8019      6.259      0.288      0.774     -10.490      14.094\n",
       "Revenue_$25 to $50 million (USD)                     -6.1524      5.363     -1.147      0.252     -16.686       4.381\n",
       "Revenue_$5 to $10 billion (USD)                      10.0934      7.859      1.284      0.200      -5.341      25.527\n",
       "Revenue_$5 to $10 million (USD)                      30.2657      8.269      3.660      0.000      14.026      46.506\n",
       "Revenue_$50 to $100 million (USD)                     4.4396      4.942      0.898      0.369      -5.266      14.145\n",
       "Revenue_$500 million to $1 billion (USD)             -1.8615      5.288     -0.352      0.725     -12.246       8.523\n",
       "Revenue_-1                                           13.3795      8.608      1.554      0.121      -3.526      30.285\n",
       "Revenue_Less than $1 million (USD)                   -5.8956     15.119     -0.390      0.697     -35.589      23.798\n",
       "Revenue_Unknown / Non-Applicable                     -0.9519      3.051     -0.312      0.755      -6.943       5.039\n",
       "State_AL                                             -7.2877     10.452     -0.697      0.486     -27.815      13.240\n",
       "State_AZ                                            -15.7003      8.634     -1.818      0.069     -32.657       1.256\n",
       "State_CA                                             26.5431      3.252      8.162      0.000      20.157      32.930\n",
       "State_CO                                              8.9750      8.285      1.083      0.279      -7.296      25.246\n",
       "State_CT                                            -25.9032     11.379     -2.276      0.023     -48.250      -3.556\n",
       "State_DC                                             13.0139      8.044      1.618      0.106      -2.784      28.812\n",
       "State_DE                                              9.4546     13.846      0.683      0.495     -17.737      36.647\n",
       "State_FL                                            -17.3225      7.605     -2.278      0.023     -32.258      -2.387\n",
       "State_GA                                            -18.5958     10.054     -1.850      0.065     -38.341       1.149\n",
       "State_IA                                             -0.1445     12.413     -0.012      0.991     -24.524      24.235\n",
       "State_ID                                            -22.8706     18.194     -1.257      0.209     -58.602      12.861\n",
       "State_IL                                             10.5632      5.015      2.106      0.036       0.713      20.413\n",
       "State_IN                                            -11.1466      8.775     -1.270      0.204     -28.380       6.086\n",
       "State_KS                                            -15.2512      7.885     -1.934      0.054     -30.736       0.234\n",
       "State_KY                                             21.1690     12.321      1.718      0.086      -3.028      45.366\n",
       "State_LA                                             -8.5365     13.071     -0.653      0.514     -34.208      17.135\n",
       "State_MA                                              3.0252      3.921      0.772      0.441      -4.675      10.725\n",
       "State_MD                                              6.4775      4.973      1.302      0.193      -3.290      16.245\n",
       "State_MI                                              6.4040     12.238      0.523      0.601     -17.630      30.438\n",
       "State_MN                                              5.1735     17.230      0.300      0.764     -28.666      39.013\n",
       "State_MO                                             12.6123      9.865      1.279      0.202      -6.761      31.986\n",
       "State_NC                                             -4.7398      6.729     -0.704      0.481     -17.956       8.476\n",
       "State_NE                                             -3.4029     13.363     -0.255      0.799     -29.647      22.842\n",
       "State_NJ                                              2.0860      6.801      0.307      0.759     -11.272      15.444\n",
       "State_NM                                            -28.5725     14.500     -1.971      0.049     -57.050      -0.095\n",
       "State_NY                                              5.4630      4.004      1.364      0.173      -2.402      13.328\n",
       "State_OH                                             -3.3697      8.171     -0.412      0.680     -19.417      12.678\n",
       "State_OR                                              4.6361     12.620      0.367      0.713     -20.148      29.420\n",
       "State_PA                                             10.6077      7.205      1.472      0.141      -3.542      24.758\n",
       "State_RI                                             39.1878     24.625      1.591      0.112      -9.174      87.550\n",
       "State_SC                                             34.4308     29.136      1.182      0.238     -22.791      91.652\n",
       "State_TN                                             -6.1963      9.372     -0.661      0.509     -24.603      12.210\n",
       "State_TX                                             -0.0809      5.603     -0.014      0.988     -11.085      10.923\n",
       "State_UT                                              4.7533     14.758      0.322      0.747     -24.230      33.737\n",
       "State_VA                                             -1.9201      5.031     -0.382      0.703     -11.800       7.960\n",
       "State_WA                                             13.8189      8.102      1.706      0.089      -2.093      29.731\n",
       "State_WI                                             -3.6297     10.073     -0.360      0.719     -23.413      16.154\n",
       "title_simp_analyst                                  -30.6272      3.356     -9.126      0.000     -37.219     -24.036\n",
       "title_simp_data engineer                              2.9444      3.232      0.911      0.363      -3.402       9.291\n",
       "title_simp_data scientist                             8.5334      2.513      3.396      0.001       3.599      13.468\n",
       "title_simp_director                                  67.0907      6.619     10.137      0.000      54.092      80.089\n",
       "title_simp_manager                                  -13.0756      5.651     -2.314      0.021     -24.173      -1.978\n",
       "title_simp_mle                                       20.4129      6.061      3.368      0.001       8.509      32.317\n",
       "title_simp_na                                       -11.5540      2.946     -3.922      0.000     -17.339      -5.769\n",
       "seniority_junior                                     10.8472     10.994      0.987      0.324     -10.745      32.439\n",
       "seniority_na                                          3.6485      4.392      0.831      0.407      -4.978      12.275\n",
       "seniority_senior                                     29.2288      4.649      6.288      0.000      20.099      38.358\n",
       "==============================================================================\n",
       "Omnibus:                       68.464   Durbin-Watson:                   2.062\n",
       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              279.440\n",
       "Skew:                           0.318   Prob(JB):                     2.09e-61\n",
       "Kurtosis:                       5.938   Cond. No.                     2.06e+18\n",
       "==============================================================================\n",
       "\n",
       "Notes:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "[2] The smallest eigenvalue is 3.07e-27. This might indicate that there are\n",
       "strong multicollinearity problems or that the design matrix is singular.\n",
       "\"\"\""
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#mutliple linear regression\n",
    "import statsmodels.api as sm\n",
    "\n",
    "X_sm = X = sm.add_constant(X)\n",
    "model = sm.OLS(y,X_sm)\n",
    "model.fit().summary()\n",
    "#P values of less than 0.05 shows that the feature is important in salary prediction\n",
    "#Coefficient value shows how the feature affects the avg sal, inc by one unit = inc/dec by x thousand in avg sal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4c1f6119",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-19.350107808835162"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression, Lasso\n",
    "from sklearn.model_selection import cross_val_score #think of cross val as a mini train test split\n",
    "#it takes a small sample of the data, predicts it and compares it with the rest of the data to see \n",
    "#whether the predictions were accurate \n",
    "\n",
    "lm = LinearRegression()\n",
    "lm.fit(X_train, y_train)\n",
    "\n",
    "np.mean(cross_val_score(lm,X_train,y_train, scoring = 'neg_mean_absolute_error', cv= 5))\n",
    "#difficult to get acc predictions with such sparse data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8eff1f07",
   "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>alpha</th>\n",
       "      <th>error</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.17</td>\n",
       "      <td>-19.294851</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    alpha      error\n",
       "16   0.17 -19.294851"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#lasso regression - bc the data is going to be so sparse with all the dummy varibles,\n",
    "#lasso helps us normalize that \n",
    "#lasso is good when many features are being used to determine the label as it carries out \n",
    "#regularization, ignoring unimportant features and using useful ones\n",
    "# lasso regression \n",
    "lm_l = Lasso(alpha=.13)\n",
    "lm_l.fit(X_train,y_train)\n",
    "np.mean(cross_val_score(lm_l,X_train,y_train, scoring = 'neg_mean_absolute_error', cv= 3))\n",
    "\n",
    "#let's try for diff alpha values\n",
    "alpha = []\n",
    "error = []\n",
    "\n",
    "for i in range(1,100):\n",
    "    alpha.append(i/100)\n",
    "    lml = Lasso(alpha=(i/100))\n",
    "    error.append(np.mean(cross_val_score(lml,X_train,y_train, scoring = 'neg_mean_absolute_error', cv= 3)))\n",
    "    \n",
    "plt.plot(alpha,error)\n",
    "\n",
    "err = tuple(zip(alpha,error))\n",
    "df_err = pd.DataFrame(err, columns = ['alpha','error'])\n",
    "df_err[df_err.error == max(df_err.error)]\n",
    "\n",
    "#the error is lowest when the alpha is 0.17\n",
    "#increase in alpha brings about dec in coefficients"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "95d19e4b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-14.867525936180757"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#random forest - we'll have a tree based model to compare to linear models\n",
    "#decision tree could prove useful in this scenario as there are many 0 and 1 values\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "rf = RandomForestRegressor()\n",
    "\n",
    "np.mean(cross_val_score(rf,X_train,y_train,scoring = 'neg_mean_absolute_error', cv= 3))\n",
    "\n",
    "#MOST ACCURATE SO FAR!!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "510aee31",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=3, estimator=RandomForestRegressor(),\n",
       "             param_grid={'criterion': ('mse', 'mae'),\n",
       "                         'max_features': ('auto', 'sqrt', 'log2'),\n",
       "                         'n_estimators': range(10, 300, 10)},\n",
       "             scoring='neg_mean_absolute_error')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#tune the models using GridsearchCV\n",
    "#GridsearchCV runs all the models and spits out the one with the best results after parameters\n",
    "#have been input \n",
    "# tune models GridsearchCV \n",
    "from sklearn.model_selection import GridSearchCV\n",
    "parameters = {'n_estimators':range(10,300,10), 'criterion':('mse','mae'), 'max_features':('auto','sqrt','log2')}\n",
    "\n",
    "gs = GridSearchCV(rf,parameters,scoring='neg_mean_absolute_error',cv=3)\n",
    "gs.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ed78e661",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestRegressor(n_estimators=140)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gs.best_estimator_ #what was the best estimator "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e4351a71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-14.655382718897947"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gs.best_score_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "79c72a24",
   "metadata": {},
   "outputs": [],
   "source": [
    "#test the ensembles to see how they predict salaries\n",
    "tpred_lm = lm.predict(X_test)\n",
    "tpred_lml = lm_l.predict(X_test)\n",
    "tpred_rf = gs.best_estimator_.predict(X_test)\n",
    "\n",
    "from sklearn.metrics import mean_absolute_error,mean_squared_error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "bcb7285f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18.807775913282143"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_absolute_error(y_test,tpred_lm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "365c9f7b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "19.779266725991825"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_absolute_error(y_test,tpred_lml)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "757b426a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10.741826462128476"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_absolute_error(y_test,tpred_rf) #did the best SO WE'LL USE IT!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "9b623a37",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "17.615015419630026"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sqrt(mean_squared_error(y_test, tpred_rf)) #punishes for larger errors\n",
    "#random forest is clearly the best"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "29dd7908",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13.944943973379837"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_absolute_error(y_test,(tpred_lm+tpred_rf)/2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "99083344",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "19.93489855209013"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sqrt(mean_squared_error(y_test, (tpred_lm+tpred_rf)/2)) #punishes for larger errors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f3950203",
   "metadata": {},
   "outputs": [],
   "source": [
    "# explainer = shap.TreeExplainer(gs.best_estimator_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "c30e9814",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[3.6,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 1.0,\n",
       " 35.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 1.0,\n",
       " 1.0,\n",
       " 0.0,\n",
       " 1.0,\n",
       " 4644.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 1.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 1.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 1.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 1.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 1.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 1.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 1.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 0.0,\n",
       " 1.0,\n",
       " 0.0]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#next we will pickle the model, allowing it make predictions without training it every time\n",
    "#because it has already been trained\n",
    "\n",
    "# import pickle\n",
    "# pickl = {'model': gs.best_estimator_}\n",
    "# pickle.dump( pickl, open( 'model_file' + \".p\", \"wb\" ) )\n",
    "\n",
    "# file_name = \"model_file.p\"\n",
    "# with open(file_name, 'rb') as pickled:\n",
    "#     data = pickle.load(pickled)\n",
    "#     model = data['model']\n",
    "\n",
    "# model.predict(np.array(list(X_test.iloc[1,:])).reshape(1,-1))[0]\n",
    "\n",
    "# list(X_test.iloc[1,:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ed4377a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "#save the model\n",
    "from joblib import dump, load"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "0236c27a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['salary_model.joblib']"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dump(gs.best_estimator_, 'salary_model.joblib')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "191cfca6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df_dummy = df_dummy.rename(columns={'Employer Provided Sal': 'Employer_Provided_Sal', 'Size_-1': 'Size_neg1'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "03cea58c",
   "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>avg_sal</th>\n",
       "      <th>Rating</th>\n",
       "      <th>num_competitors</th>\n",
       "      <th>hourly</th>\n",
       "      <th>Employer_Provided_Sal</th>\n",
       "      <th>job_in_HQ</th>\n",
       "      <th>Age</th>\n",
       "      <th>has_python</th>\n",
       "      <th>has_spark</th>\n",
       "      <th>has_sql</th>\n",
       "      <th>has_excel</th>\n",
       "      <th>has_aws</th>\n",
       "      <th>has_tableau</th>\n",
       "      <th>desc_len</th>\n",
       "      <th>Size_neg1</th>\n",
       "      <th>Size_1 to 50 employees</th>\n",
       "      <th>Size_10000+ employees</th>\n",
       "      <th>Size_1001 to 5000 employees</th>\n",
       "      <th>Size_201 to 500 employees</th>\n",
       "      <th>Size_5001 to 10000 employees</th>\n",
       "      <th>Size_501 to 1000 employees</th>\n",
       "      <th>Size_51 to 200 employees</th>\n",
       "      <th>Size_Unknown</th>\n",
       "      <th>Type of ownership_-1</th>\n",
       "      <th>Type of ownership_College / University</th>\n",
       "      <th>Type of ownership_Company - Private</th>\n",
       "      <th>Type of ownership_Company - Public</th>\n",
       "      <th>Type of ownership_Government</th>\n",
       "      <th>Type of ownership_Hospital</th>\n",
       "      <th>Type of ownership_Nonprofit Organization</th>\n",
       "      <th>Type of ownership_Other Organization</th>\n",
       "      <th>Type of ownership_School / School District</th>\n",
       "      <th>Type of ownership_Subsidiary or Business Segment</th>\n",
       "      <th>Type of ownership_Unknown</th>\n",
       "      <th>Industry_-1</th>\n",
       "      <th>Industry_Accounting</th>\n",
       "      <th>Industry_Advertising &amp; Marketing</th>\n",
       "      <th>Industry_Aerospace &amp; Defense</th>\n",
       "      <th>Industry_Architectural &amp; Engineering Services</th>\n",
       "      <th>Industry_Auctions &amp; Galleries</th>\n",
       "      <th>Industry_Banks &amp; Credit Unions</th>\n",
       "      <th>Industry_Beauty &amp; Personal Accessories Stores</th>\n",
       "      <th>Industry_Biotech &amp; Pharmaceuticals</th>\n",
       "      <th>Industry_Brokerage Services</th>\n",
       "      <th>Industry_Colleges &amp; Universities</th>\n",
       "      <th>Industry_Computer Hardware &amp; Software</th>\n",
       "      <th>Industry_Construction</th>\n",
       "      <th>Industry_Consulting</th>\n",
       "      <th>Industry_Consumer Product Rental</th>\n",
       "      <th>Industry_Consumer Products Manufacturing</th>\n",
       "      <th>Industry_Department, Clothing, &amp; Shoe Stores</th>\n",
       "      <th>Industry_Education Training Services</th>\n",
       "      <th>Industry_Energy</th>\n",
       "      <th>Industry_Enterprise Software &amp; Network Solutions</th>\n",
       "      <th>Industry_Farm Support Services</th>\n",
       "      <th>Industry_Federal Agencies</th>\n",
       "      <th>Industry_Financial Analytics &amp; Research</th>\n",
       "      <th>Industry_Financial Transaction Processing</th>\n",
       "      <th>Industry_Food &amp; Beverage Manufacturing</th>\n",
       "      <th>Industry_Gambling</th>\n",
       "      <th>Industry_Gas Stations</th>\n",
       "      <th>Industry_Health Care Products Manufacturing</th>\n",
       "      <th>Industry_Health Care Services &amp; Hospitals</th>\n",
       "      <th>Industry_Health, Beauty, &amp; Fitness</th>\n",
       "      <th>Industry_IT Services</th>\n",
       "      <th>Industry_Industrial Manufacturing</th>\n",
       "      <th>Industry_Insurance Agencies &amp; Brokerages</th>\n",
       "      <th>Industry_Insurance Carriers</th>\n",
       "      <th>Industry_Internet</th>\n",
       "      <th>Industry_Investment Banking &amp; Asset Management</th>\n",
       "      <th>Industry_K-12 Education</th>\n",
       "      <th>Industry_Lending</th>\n",
       "      <th>Industry_Logistics &amp; Supply Chain</th>\n",
       "      <th>Industry_Metals Brokers</th>\n",
       "      <th>Industry_Mining</th>\n",
       "      <th>Industry_Motion Picture Production &amp; Distribution</th>\n",
       "      <th>Industry_Other Retail Stores</th>\n",
       "      <th>Industry_Real Estate</th>\n",
       "      <th>Industry_Religious Organizations</th>\n",
       "      <th>Industry_Research &amp; Development</th>\n",
       "      <th>Industry_Security Services</th>\n",
       "      <th>Industry_Social Assistance</th>\n",
       "      <th>Industry_Sporting Goods Stores</th>\n",
       "      <th>Industry_Staffing &amp; Outsourcing</th>\n",
       "      <th>Industry_Stock Exchanges</th>\n",
       "      <th>Industry_TV Broadcast &amp; Cable Networks</th>\n",
       "      <th>Industry_Telecommunications Manufacturing</th>\n",
       "      <th>Industry_Telecommunications Services</th>\n",
       "      <th>Industry_Transportation Equipment Manufacturing</th>\n",
       "      <th>Industry_Transportation Management</th>\n",
       "      <th>Industry_Travel Agencies</th>\n",
       "      <th>Industry_Trucking</th>\n",
       "      <th>Industry_Video Games</th>\n",
       "      <th>Industry_Wholesale</th>\n",
       "      <th>Sector_-1</th>\n",
       "      <th>Sector_Accounting &amp; Legal</th>\n",
       "      <th>Sector_Aerospace &amp; Defense</th>\n",
       "      <th>Sector_Agriculture &amp; Forestry</th>\n",
       "      <th>Sector_Arts, Entertainment &amp; Recreation</th>\n",
       "      <th>Sector_Biotech &amp; Pharmaceuticals</th>\n",
       "      <th>Sector_Business Services</th>\n",
       "      <th>Sector_Construction, Repair &amp; Maintenance</th>\n",
       "      <th>Sector_Consumer Services</th>\n",
       "      <th>Sector_Education</th>\n",
       "      <th>Sector_Finance</th>\n",
       "      <th>Sector_Government</th>\n",
       "      <th>Sector_Health Care</th>\n",
       "      <th>Sector_Information Technology</th>\n",
       "      <th>Sector_Insurance</th>\n",
       "      <th>Sector_Manufacturing</th>\n",
       "      <th>Sector_Media</th>\n",
       "      <th>Sector_Mining &amp; Metals</th>\n",
       "      <th>Sector_Non-Profit</th>\n",
       "      <th>Sector_Oil, Gas, Energy &amp; Utilities</th>\n",
       "      <th>Sector_Real Estate</th>\n",
       "      <th>Sector_Retail</th>\n",
       "      <th>Sector_Telecommunications</th>\n",
       "      <th>Sector_Transportation &amp; Logistics</th>\n",
       "      <th>Sector_Travel &amp; Tourism</th>\n",
       "      <th>Revenue_$1 to $2 billion (USD)</th>\n",
       "      <th>Revenue_$1 to $5 million (USD)</th>\n",
       "      <th>Revenue_$10 to $25 million (USD)</th>\n",
       "      <th>Revenue_$10+ billion (USD)</th>\n",
       "      <th>Revenue_$100 to $500 million (USD)</th>\n",
       "      <th>Revenue_$2 to $5 billion (USD)</th>\n",
       "      <th>Revenue_$25 to $50 million (USD)</th>\n",
       "      <th>Revenue_$5 to $10 billion (USD)</th>\n",
       "      <th>Revenue_$5 to $10 million (USD)</th>\n",
       "      <th>Revenue_$50 to $100 million (USD)</th>\n",
       "      <th>Revenue_$500 million to $1 billion (USD)</th>\n",
       "      <th>Revenue_-1</th>\n",
       "      <th>Revenue_Less than $1 million (USD)</th>\n",
       "      <th>Revenue_Unknown / Non-Applicable</th>\n",
       "      <th>State_AL</th>\n",
       "      <th>State_AZ</th>\n",
       "      <th>State_CA</th>\n",
       "      <th>State_CO</th>\n",
       "      <th>State_CT</th>\n",
       "      <th>State_DC</th>\n",
       "      <th>State_DE</th>\n",
       "      <th>State_FL</th>\n",
       "      <th>State_GA</th>\n",
       "      <th>State_IA</th>\n",
       "      <th>State_ID</th>\n",
       "      <th>State_IL</th>\n",
       "      <th>State_IN</th>\n",
       "      <th>State_KS</th>\n",
       "      <th>State_KY</th>\n",
       "      <th>State_LA</th>\n",
       "      <th>State_MA</th>\n",
       "      <th>State_MD</th>\n",
       "      <th>State_MI</th>\n",
       "      <th>State_MN</th>\n",
       "      <th>State_MO</th>\n",
       "      <th>State_NC</th>\n",
       "      <th>State_NE</th>\n",
       "      <th>State_NJ</th>\n",
       "      <th>State_NM</th>\n",
       "      <th>State_NY</th>\n",
       "      <th>State_OH</th>\n",
       "      <th>State_OR</th>\n",
       "      <th>State_PA</th>\n",
       "      <th>State_RI</th>\n",
       "      <th>State_SC</th>\n",
       "      <th>State_TN</th>\n",
       "      <th>State_TX</th>\n",
       "      <th>State_UT</th>\n",
       "      <th>State_VA</th>\n",
       "      <th>State_WA</th>\n",
       "      <th>State_WI</th>\n",
       "      <th>title_simp_analyst</th>\n",
       "      <th>title_simp_data engineer</th>\n",
       "      <th>title_simp_data scientist</th>\n",
       "      <th>title_simp_director</th>\n",
       "      <th>title_simp_manager</th>\n",
       "      <th>title_simp_mle</th>\n",
       "      <th>title_simp_na</th>\n",
       "      <th>seniority_junior</th>\n",
       "      <th>seniority_na</th>\n",
       "      <th>seniority_senior</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>72.0</td>\n",
       "      <td>3.8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2555</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>87.5</td>\n",
       "      <td>3.4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4828</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>85.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3495</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>76.5</td>\n",
       "      <td>3.8</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>56</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3926</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>114.5</td>\n",
       "      <td>2.9</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2748</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>737</th>\n",
       "      <td>84.5</td>\n",
       "      <td>3.9</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>191</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6219</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>738</th>\n",
       "      <td>102.5</td>\n",
       "      <td>4.4</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6167</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>739</th>\n",
       "      <td>73.5</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>37</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3107</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>740</th>\n",
       "      <td>127.5</td>\n",
       "      <td>3.2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1678</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>741</th>\n",
       "      <td>93.5</td>\n",
       "      <td>3.6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>54</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3710</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>742 rows × 180 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     avg_sal  Rating  num_competitors  hourly  Employer_Provided_Sal  job_in_HQ  Age  has_python  has_spark  has_sql  has_excel  has_aws  has_tableau  desc_len  Size_neg1  Size_1 to 50 employees  Size_10000+ employees  Size_1001 to 5000 employees  Size_201 to 500 employees  Size_5001 to 10000 employees  Size_501 to 1000 employees  Size_51 to 200 employees  Size_Unknown  Type of ownership_-1  Type of ownership_College / University  Type of ownership_Company - Private  Type of ownership_Company - Public  Type of ownership_Government  Type of ownership_Hospital  Type of ownership_Nonprofit Organization  Type of ownership_Other Organization  Type of ownership_School / School District  Type of ownership_Subsidiary or Business Segment  Type of ownership_Unknown  Industry_-1  Industry_Accounting  Industry_Advertising & Marketing  Industry_Aerospace & Defense  Industry_Architectural & Engineering Services  Industry_Auctions & Galleries  Industry_Banks & Credit Unions  \\\n",
       "0       72.0     3.8                0       0                      0          0   48           1          0        0          1        0            1      2555          0                       0                      0                            0                          0                             0                           1                         0             0                     0                                       0                                    1                                   0                             0                           0                                         0                                     0                                           0                                                 0                          0            0                    0                                 0                             1                                              0                              0                               0   \n",
       "1       87.5     3.4                0       0                      0          1   37           1          0        0          0        0            0      4828          0                       0                      1                            0                          0                             0                           0                         0             0                     0                                       0                                    0                                   0                             0                           0                                         0                                     1                                           0                                                 0                          0            0                    0                                 0                             0                                              0                              0                               0   \n",
       "2       85.0     4.8                0       0                      0          1   11           1          1        1          1        0            0      3495          0                       0                      0                            0                          0                             0                           1                         0             0                     0                                       0                                    1                                   0                             0                           0                                         0                                     0                                           0                                                 0                          0            0                    0                                 0                             0                                              0                              0                               0   \n",
       "3       76.5     3.8                3       0                      0          1   56           1          0        0          0        0            0      3926          0                       0                      0                            1                          0                             0                           0                         0             0                     0                                       0                                    0                                   0                             1                           0                                         0                                     0                                           0                                                 0                          0            0                    0                                 0                             0                                              0                              0                               0   \n",
       "4      114.5     2.9                3       0                      0          1   23           1          0        1          1        0            0      2748          0                       0                      0                            0                          0                             0                           0                         1             0                     0                                       0                                    1                                   0                             0                           0                                         0                                     0                                           0                                                 0                          0            0                    0                                 1                             0                                              0                              0                               0   \n",
       "..       ...     ...              ...     ...                    ...        ...  ...         ...        ...      ...        ...      ...          ...       ...        ...                     ...                    ...                          ...                        ...                           ...                         ...                       ...           ...                   ...                                     ...                                  ...                                 ...                           ...                         ...                                       ...                                   ...                                         ...                                               ...                        ...          ...                  ...                               ...                           ...                                            ...                            ...                             ...   \n",
       "737     84.5     3.9                3       0                      0          0  191           0          0        0          0        1            0      6219          0                       0                      1                            0                          0                             0                           0                         0             0                     0                                       0                                    0                                   1                             0                           0                                         0                                     0                                           0                                                 0                          0            0                    0                                 0                             0                                              0                              0                               0   \n",
       "738    102.5     4.4                3       0                      0          0   15           1          1        1          0        1            0      6167          0                       0                      0                            1                          0                             0                           0                         0             0                     0                                       0                                    0                                   1                             0                           0                                         0                                     0                                           0                                                 0                          0            0                    0                                 0                             0                                              0                              0                               0   \n",
       "739     73.5     2.6                0       0                      0          1   37           0          0        0          1        0            0      3107          0                       0                      0                            0                          0                             0                           1                         0             0                     0                                       1                                    0                                   0                             0                           0                                         0                                     0                                           0                                                 0                          0            0                    0                                 0                             0                                              0                              0                               0   \n",
       "740    127.5     3.2                0       0                      0          1   -1           0          0        0          1        0            0      1678          0                       1                      0                            0                          0                             0                           0                         0             0                     0                                       0                                    1                                   0                             0                           0                                         0                                     0                                           0                                                 0                          0            0                    0                                 0                             0                                              0                              0                               0   \n",
       "741     93.5     3.6                0       0                      0          0   54           1          0        0          0        0            0      3710          0                       0                      0                            0                          0                             0                           1                         0             0                     0                                       0                                    0                                   0                             0                           0                                         1                                     0                                           0                                                 0                          0            0                    0                                 0                             0                                              0                              0                               0   \n",
       "\n",
       "     Industry_Beauty & Personal Accessories Stores  Industry_Biotech & Pharmaceuticals  Industry_Brokerage Services  Industry_Colleges & Universities  Industry_Computer Hardware & Software  Industry_Construction  Industry_Consulting  Industry_Consumer Product Rental  Industry_Consumer Products Manufacturing  Industry_Department, Clothing, & Shoe Stores  Industry_Education Training Services  Industry_Energy  Industry_Enterprise Software & Network Solutions  Industry_Farm Support Services  Industry_Federal Agencies  Industry_Financial Analytics & Research  Industry_Financial Transaction Processing  Industry_Food & Beverage Manufacturing  Industry_Gambling  Industry_Gas Stations  Industry_Health Care Products Manufacturing  Industry_Health Care Services & Hospitals  Industry_Health, Beauty, & Fitness  Industry_IT Services  Industry_Industrial Manufacturing  Industry_Insurance Agencies & Brokerages  Industry_Insurance Carriers  Industry_Internet  \\\n",
       "0                                                0                                   0                            0                                 0                                      0                      0                    0                                 0                                         0                                             0                                     0                0                                                 0                               0                          0                                        0                                          0                                       0                  0                      0                                            0                                          0                                   0                     0                                  0                                         0                            0                  0   \n",
       "1                                                0                                   0                            0                                 0                                      0                      0                    0                                 0                                         0                                             0                                     0                0                                                 0                               0                          0                                        0                                          0                                       0                  0                      0                                            0                                          1                                   0                     0                                  0                                         0                            0                  0   \n",
       "2                                                0                                   0                            0                                 0                                      0                      0                    0                                 0                                         0                                             0                                     0                0                                                 0                               0                          0                                        0                                          0                                       0                  0                      0                                            0                                          0                                   0                     0                                  0                                         0                            0                  0   \n",
       "3                                                0                                   0                            0                                 0                                      0                      0                    0                                 0                                         0                                             0                                     0                1                                                 0                               0                          0                                        0                                          0                                       0                  0                      0                                            0                                          0                                   0                     0                                  0                                         0                            0                  0   \n",
       "4                                                0                                   0                            0                                 0                                      0                      0                    0                                 0                                         0                                             0                                     0                0                                                 0                               0                          0                                        0                                          0                                       0                  0                      0                                            0                                          0                                   0                     0                                  0                                         0                            0                  0   \n",
       "..                                             ...                                 ...                          ...                               ...                                    ...                    ...                  ...                               ...                                       ...                                           ...                                   ...              ...                                               ...                             ...                        ...                                      ...                                        ...                                     ...                ...                    ...                                          ...                                        ...                                 ...                   ...                                ...                                       ...                          ...                ...   \n",
       "737                                              0                                   1                            0                                 0                                      0                      0                    0                                 0                                         0                                             0                                     0                0                                                 0                               0                          0                                        0                                          0                                       0                  0                      0                                            0                                          0                                   0                     0                                  0                                         0                            0                  0   \n",
       "738                                              0                                   0                            0                                 0                                      0                      0                    0                                 0                                         0                                             0                                     0                0                                                 0                               0                          0                                        0                                          0                                       0                  0                      0                                            0                                          0                                   0                     0                                  0                                         0                            0                  1   \n",
       "739                                              0                                   0                            0                                 1                                      0                      0                    0                                 0                                         0                                             0                                     0                0                                                 0                               0                          0                                        0                                          0                                       0                  0                      0                                            0                                          0                                   0                     0                                  0                                         0                            0                  0   \n",
       "740                                              0                                   0                            0                                 0                                      0                      0                    0                                 0                                         0                                             0                                     0                0                                                 0                               0                          0                                        0                                          0                                       0                  0                      0                                            0                                          0                                   0                     0                                  0                                         0                            0                  0   \n",
       "741                                              0                                   0                            0                                 0                                      0                      0                    0                                 0                                         0                                             0                                     0                0                                                 0                               0                          1                                        0                                          0                                       0                  0                      0                                            0                                          0                                   0                     0                                  0                                         0                            0                  0   \n",
       "\n",
       "     Industry_Investment Banking & Asset Management  Industry_K-12 Education  Industry_Lending  Industry_Logistics & Supply Chain  Industry_Metals Brokers  Industry_Mining  Industry_Motion Picture Production & Distribution  Industry_Other Retail Stores  Industry_Real Estate  Industry_Religious Organizations  Industry_Research & Development  Industry_Security Services  Industry_Social Assistance  Industry_Sporting Goods Stores  Industry_Staffing & Outsourcing  Industry_Stock Exchanges  Industry_TV Broadcast & Cable Networks  Industry_Telecommunications Manufacturing  Industry_Telecommunications Services  Industry_Transportation Equipment Manufacturing  Industry_Transportation Management  Industry_Travel Agencies  Industry_Trucking  Industry_Video Games  Industry_Wholesale  Sector_-1  Sector_Accounting & Legal  Sector_Aerospace & Defense  Sector_Agriculture & Forestry  Sector_Arts, Entertainment & Recreation  Sector_Biotech & Pharmaceuticals  Sector_Business Services  \\\n",
       "0                                                 0                        0                 0                                  0                        0                0                                                  0                             0                     0                                 0                                0                           0                           0                               0                                0                         0                                       0                                          0                                     0                                                0                                   0                         0                  0                     0                   0          0                          0                           1                              0                                        0                                 0                         0   \n",
       "1                                                 0                        0                 0                                  0                        0                0                                                  0                             0                     0                                 0                                0                           0                           0                               0                                0                         0                                       0                                          0                                     0                                                0                                   0                         0                  0                     0                   0          0                          0                           0                              0                                        0                                 0                         0   \n",
       "2                                                 0                        0                 0                                  0                        0                0                                                  0                             0                     0                                 0                                0                           1                           0                               0                                0                         0                                       0                                          0                                     0                                                0                                   0                         0                  0                     0                   0          0                          0                           0                              0                                        0                                 0                         1   \n",
       "3                                                 0                        0                 0                                  0                        0                0                                                  0                             0                     0                                 0                                0                           0                           0                               0                                0                         0                                       0                                          0                                     0                                                0                                   0                         0                  0                     0                   0          0                          0                           0                              0                                        0                                 0                         0   \n",
       "4                                                 0                        0                 0                                  0                        0                0                                                  0                             0                     0                                 0                                0                           0                           0                               0                                0                         0                                       0                                          0                                     0                                                0                                   0                         0                  0                     0                   0          0                          0                           0                              0                                        0                                 0                         1   \n",
       "..                                              ...                      ...               ...                                ...                      ...              ...                                                ...                           ...                   ...                               ...                              ...                         ...                         ...                             ...                              ...                       ...                                     ...                                        ...                                   ...                                              ...                                 ...                       ...                ...                   ...                 ...        ...                        ...                         ...                            ...                                      ...                               ...                       ...   \n",
       "737                                               0                        0                 0                                  0                        0                0                                                  0                             0                     0                                 0                                0                           0                           0                               0                                0                         0                                       0                                          0                                     0                                                0                                   0                         0                  0                     0                   0          0                          0                           0                              0                                        0                                 1                         0   \n",
       "738                                               0                        0                 0                                  0                        0                0                                                  0                             0                     0                                 0                                0                           0                           0                               0                                0                         0                                       0                                          0                                     0                                                0                                   0                         0                  0                     0                   0          0                          0                           0                              0                                        0                                 0                         0   \n",
       "739                                               0                        0                 0                                  0                        0                0                                                  0                             0                     0                                 0                                0                           0                           0                               0                                0                         0                                       0                                          0                                     0                                                0                                   0                         0                  0                     0                   0          0                          0                           0                              0                                        0                                 0                         0   \n",
       "740                                               0                        0                 0                                  0                        0                0                                                  0                             0                     0                                 0                                0                           0                           0                               0                                1                         0                                       0                                          0                                     0                                                0                                   0                         0                  0                     0                   0          0                          0                           0                              0                                        0                                 0                         1   \n",
       "741                                               0                        0                 0                                  0                        0                0                                                  0                             0                     0                                 0                                0                           0                           0                               0                                0                         0                                       0                                          0                                     0                                                0                                   0                         0                  0                     0                   0          0                          0                           0                              0                                        0                                 0                         0   \n",
       "\n",
       "     Sector_Construction, Repair & Maintenance  Sector_Consumer Services  Sector_Education  Sector_Finance  Sector_Government  Sector_Health Care  Sector_Information Technology  Sector_Insurance  Sector_Manufacturing  Sector_Media  Sector_Mining & Metals  Sector_Non-Profit  Sector_Oil, Gas, Energy & Utilities  Sector_Real Estate  Sector_Retail  Sector_Telecommunications  Sector_Transportation & Logistics  Sector_Travel & Tourism  Revenue_$1 to $2 billion (USD)  Revenue_$1 to $5 million (USD)  Revenue_$10 to $25 million (USD)  Revenue_$10+ billion (USD)  Revenue_$100 to $500 million (USD)  Revenue_$2 to $5 billion (USD)  Revenue_$25 to $50 million (USD)  Revenue_$5 to $10 billion (USD)  Revenue_$5 to $10 million (USD)  Revenue_$50 to $100 million (USD)  Revenue_$500 million to $1 billion (USD)  Revenue_-1  Revenue_Less than $1 million (USD)  Revenue_Unknown / Non-Applicable  State_AL  State_AZ  State_CA  State_CO  State_CT  State_DC  State_DE  State_FL  State_GA  State_IA  State_ID  \\\n",
       "0                                            0                         0                 0               0                  0                   0                              0                 0                     0             0                       0                  0                                    0                   0              0                          0                                  0                        0                               0                               0                                 0                           0                                   0                               0                                 0                                0                                0                                  1                                         0           0                                   0                                 0         0         0         0         0         0         0         0         0         0         0         0   \n",
       "1                                            0                         0                 0               0                  0                   1                              0                 0                     0             0                       0                  0                                    0                   0              0                          0                                  0                        0                               0                               0                                 0                           0                                   0                               1                                 0                                0                                0                                  0                                         0           0                                   0                                 0         0         0         0         0         0         0         0         0         0         0         0   \n",
       "2                                            0                         0                 0               0                  0                   0                              0                 0                     0             0                       0                  0                                    0                   0              0                          0                                  0                        0                               0                               0                                 0                           0                                   1                               0                                 0                                0                                0                                  0                                         0           0                                   0                                 0         0         0         0         0         0         0         0         1         0         0         0   \n",
       "3                                            0                         0                 0               0                  0                   0                              0                 0                     0             0                       0                  0                                    1                   0              0                          0                                  0                        0                               0                               0                                 0                           0                                   0                               0                                 0                                0                                0                                  0                                         1           0                                   0                                 0         0         0         0         0         0         0         0         0         0         0         0   \n",
       "4                                            0                         0                 0               0                  0                   0                              0                 0                     0             0                       0                  0                                    0                   0              0                          0                                  0                        0                               0                               0                                 0                           0                                   0                               0                                 0                                0                                0                                  0                                         0           0                                   0                                 1         0         0         0         0         0         0         0         0         0         0         0   \n",
       "..                                         ...                       ...               ...             ...                ...                 ...                            ...               ...                   ...           ...                     ...                ...                                  ...                 ...            ...                        ...                                ...                      ...                             ...                             ...                               ...                         ...                                 ...                             ...                               ...                              ...                              ...                                ...                                       ...         ...                                 ...                               ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...   \n",
       "737                                          0                         0                 0               0                  0                   0                              0                 0                     0             0                       0                  0                                    0                   0              0                          0                                  0                        0                               0                               0                                 0                           1                                   0                               0                                 0                                0                                0                                  0                                         0           0                                   0                                 0         0         0         0         0         0         0         0         0         0         0         0   \n",
       "738                                          0                         0                 0               0                  0                   0                              1                 0                     0             0                       0                  0                                    0                   0              0                          0                                  0                        0                               0                               0                                 0                           0                                   1                               0                                 0                                0                                0                                  0                                         0           0                                   0                                 0         0         0         0         0         0         0         0         0         0         0         0   \n",
       "739                                          0                         0                 1               0                  0                   0                              0                 0                     0             0                       0                  0                                    0                   0              0                          0                                  0                        0                               0                               0                                 0                           0                                   0                               0                                 0                                0                                0                                  0                                         0           0                                   0                                 1         0         0         0         0         0         0         0         0         0         0         0   \n",
       "740                                          0                         0                 0               0                  0                   0                              0                 0                     0             0                       0                  0                                    0                   0              0                          0                                  0                        0                               0                               0                                 0                           0                                   0                               0                                 0                                0                                1                                  0                                         0           0                                   0                                 0         0         0         0         0         0         0         0         0         0         0         0   \n",
       "741                                          0                         0                 0               0                  1                   0                              0                 0                     0             0                       0                  0                                    0                   0              0                          0                                  0                        0                               0                               0                                 0                           0                                   0                               0                                 0                                0                                0                                  1                                         0           0                                   0                                 0         0         0         0         0         0         0         0         0         0         0         0   \n",
       "\n",
       "     State_IL  State_IN  State_KS  State_KY  State_LA  State_MA  State_MD  State_MI  State_MN  State_MO  State_NC  State_NE  State_NJ  State_NM  State_NY  State_OH  State_OR  State_PA  State_RI  State_SC  State_TN  State_TX  State_UT  State_VA  State_WA  State_WI  title_simp_analyst  title_simp_data engineer  title_simp_data scientist  title_simp_director  title_simp_manager  title_simp_mle  title_simp_na  seniority_junior  seniority_na  seniority_senior  \n",
       "0           0         0         0         0         0         0         0         0         0         0         0         0         0         1         0         0         0         0         0         0         0         0         0         0         0         0                   0                         0                          1                    0                   0               0              0                 0             1                 0  \n",
       "1           0         0         0         0         0         0         1         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0                   0                         0                          1                    0                   0               0              0                 0             1                 0  \n",
       "2           0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0                   0                         0                          1                    0                   0               0              0                 0             1                 0  \n",
       "3           0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         1         0                   0                         0                          1                    0                   0               0              0                 0             1                 0  \n",
       "4           0         0         0         0         0         0         0         0         0         0         0         0         0         0         1         0         0         0         0         0         0         0         0         0         0         0                   0                         0                          1                    0                   0               0              0                 0             1                 0  \n",
       "..        ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...       ...                 ...                       ...                        ...                  ...                 ...             ...            ...               ...           ...               ...  \n",
       "737         0         0         0         0         0         1         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0                   0                         0                          0                    0                   0               0              1                 0             0                 1  \n",
       "738         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         1         0         0         0         0         0                   0                         1                          0                    0                   0               0              0                 0             0                 1  \n",
       "739         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         1         0         0         0         0         0         0         0         0                   0                         0                          0                    0                   0               0              1                 0             1                 0  \n",
       "740         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         1         0         0         0         0         0         0         0         0                   0                         0                          0                    0                   1               0              0                 0             1                 0  \n",
       "741         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0         1         0         0         0         0         0         0         0         0         0         0                   0                         0                          0                    0                   0               0              1                 0             1                 0  \n",
       "\n",
       "[742 rows x 180 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_dummy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "cfbf3b75",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['501 to 1000 employees', '10000+ employees',\n",
       "       '1001 to 5000 employees', '51 to 200 employees',\n",
       "       '201 to 500 employees', '5001 to 10000 employees',\n",
       "       '1 to 50 employees', 'Unknown', '-1'], dtype=object)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Size'].unique()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}