Data Cleaning.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Compensation Data Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "meJGtIz8a8wv"
   },
   "outputs": [],
   "source": [
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = \"all\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 71
    },
    "colab_type": "code",
    "id": "zpA0naSga8wy",
    "outputId": "bfd3c592-0da3-402c-bf91-5aeb456bdccf"
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "import seaborn as sns\n",
    "\n",
    "pd.set_option('display.max_rows', 100)\n",
    "plt.rcParams[\"figure.figsize\"] = (20,10)\n",
    "plt.rcParams[\"font.weight\"] = \"bold\"\n",
    "plt.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 940
    },
    "colab_type": "code",
    "id": "Feo8XaAOcus8",
    "outputId": "bf41a773-ec6e-407d-b5db-4b65d801896f"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0                   int64\n",
       "timestamp                   object\n",
       "company                     object\n",
       "level                       object\n",
       "title                       object\n",
       "totalyearlycompensation    float64\n",
       "location                    object\n",
       "yearsofexperience          float64\n",
       "yearsatcompany             float64\n",
       "tag                         object\n",
       "basesalary                 float64\n",
       "stockgrantvalue            float64\n",
       "bonus                      float64\n",
       "gender                      object\n",
       "otherdetails                object\n",
       "cityid                     float64\n",
       "dmaid                      float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>company</th>\n",
       "      <th>level</th>\n",
       "      <th>title</th>\n",
       "      <th>totalyearlycompensation</th>\n",
       "      <th>location</th>\n",
       "      <th>yearsofexperience</th>\n",
       "      <th>yearsatcompany</th>\n",
       "      <th>tag</th>\n",
       "      <th>basesalary</th>\n",
       "      <th>stockgrantvalue</th>\n",
       "      <th>bonus</th>\n",
       "      <th>gender</th>\n",
       "      <th>otherdetails</th>\n",
       "      <th>cityid</th>\n",
       "      <th>dmaid</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rowNumber</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>2017-06-07 11:33:27</td>\n",
       "      <td>Oracle</td>\n",
       "      <td>L3</td>\n",
       "      <td>Product Manager</td>\n",
       "      <td>127.0</td>\n",
       "      <td>Redwood City, CA</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>107.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7392.0</td>\n",
       "      <td>807.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>2017-06-10 17:11:29</td>\n",
       "      <td>eBay</td>\n",
       "      <td>SE 2</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7419.0</td>\n",
       "      <td>807.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>2017-06-11 14:53:57</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L7</td>\n",
       "      <td>Product Manager</td>\n",
       "      <td>310.0</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>155.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11527.0</td>\n",
       "      <td>819.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3</td>\n",
       "      <td>2017-06-13 05:35:36</td>\n",
       "      <td>Uber</td>\n",
       "      <td>Senior</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>578.0</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>180000.0</td>\n",
       "      <td>1550000.0</td>\n",
       "      <td>9000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stock based on $48.65 per share.</td>\n",
       "      <td>7419.0</td>\n",
       "      <td>807.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4</td>\n",
       "      <td>2017-06-14 21:22:25</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>64</td>\n",
       "      <td>Software Engineering Manager</td>\n",
       "      <td>200.0</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>169000.0</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>30000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11521.0</td>\n",
       "      <td>819.0</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",
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       "    <tr>\n",
       "      <th>30139</th>\n",
       "      <td>24748</td>\n",
       "      <td>2020-06-05 08:52:54</td>\n",
       "      <td>Twitter</td>\n",
       "      <td>Senior SWE</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>370.0</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>iOS</td>\n",
       "      <td>187.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10182.0</td>\n",
       "      <td>501.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30140</th>\n",
       "      <td>24749</td>\n",
       "      <td>2020-06-05 09:19:09</td>\n",
       "      <td>Bloomberg</td>\n",
       "      <td>Senior Software Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>212.0</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>177.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>25k signing</td>\n",
       "      <td>10182.0</td>\n",
       "      <td>501.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30142</th>\n",
       "      <td>24750</td>\n",
       "      <td>2020-06-05 09:53:21</td>\n",
       "      <td>Google</td>\n",
       "      <td>L4</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>185.0</td>\n",
       "      <td>London, EN, United Kingdom</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>98.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12008.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30143</th>\n",
       "      <td>24751</td>\n",
       "      <td>2020-06-05 09:58:40</td>\n",
       "      <td>Broadcom</td>\n",
       "      <td>ICB 3</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>180.0</td>\n",
       "      <td>Tel Aviv, TA, Israel</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Networking</td>\n",
       "      <td>110.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15900.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30144</th>\n",
       "      <td>24752</td>\n",
       "      <td>2020-06-05 10:07:11</td>\n",
       "      <td>Postmates</td>\n",
       "      <td>Product Manager</td>\n",
       "      <td>Product Manager</td>\n",
       "      <td>142.0</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Android</td>\n",
       "      <td>130.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7419.0</td>\n",
       "      <td>807.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24753 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Unnamed: 0            timestamp    company  \\\n",
       "rowNumber                                               \n",
       "1                   0  2017-06-07 11:33:27     Oracle   \n",
       "2                   1  2017-06-10 17:11:29       eBay   \n",
       "3                   2  2017-06-11 14:53:57     Amazon   \n",
       "4                   3  2017-06-13 05:35:36       Uber   \n",
       "5                   4  2017-06-14 21:22:25  Microsoft   \n",
       "...               ...                  ...        ...   \n",
       "30139           24748  2020-06-05 08:52:54    Twitter   \n",
       "30140           24749  2020-06-05 09:19:09  Bloomberg   \n",
       "30142           24750  2020-06-05 09:53:21     Google   \n",
       "30143           24751  2020-06-05 09:58:40   Broadcom   \n",
       "30144           24752  2020-06-05 10:07:11  Postmates   \n",
       "\n",
       "                              level                         title  \\\n",
       "rowNumber                                                           \n",
       "1                                L3               Product Manager   \n",
       "2                              SE 2             Software Engineer   \n",
       "3                                L7               Product Manager   \n",
       "4                            Senior             Software Engineer   \n",
       "5                                64  Software Engineering Manager   \n",
       "...                             ...                           ...   \n",
       "30139                    Senior SWE             Software Engineer   \n",
       "30140      Senior Software Engineer             Software Engineer   \n",
       "30142                            L4             Software Engineer   \n",
       "30143                         ICB 3             Software Engineer   \n",
       "30144               Product Manager               Product Manager   \n",
       "\n",
       "           totalyearlycompensation                    location  \\\n",
       "rowNumber                                                        \n",
       "1                            127.0            Redwood City, CA   \n",
       "2                            100.0           San Francisco, CA   \n",
       "3                            310.0                 Seattle, WA   \n",
       "4                            578.0           San Francisco, CA   \n",
       "5                            200.0                 Redmond, WA   \n",
       "...                            ...                         ...   \n",
       "30139                        370.0                New York, NY   \n",
       "30140                        212.0                New York, NY   \n",
       "30142                        185.0  London, EN, United Kingdom   \n",
       "30143                        180.0        Tel Aviv, TA, Israel   \n",
       "30144                        142.0           San Francisco, CA   \n",
       "\n",
       "           yearsofexperience  yearsatcompany                             tag  \\\n",
       "rowNumber                                                                      \n",
       "1                        1.5             1.5                             NaN   \n",
       "2                        5.0             3.0                             NaN   \n",
       "3                        8.0             0.0                             NaN   \n",
       "4                       10.0             2.0                             NaN   \n",
       "5                        9.0             9.0                             NaN   \n",
       "...                      ...             ...                             ...   \n",
       "30139                   10.0             6.0                             iOS   \n",
       "30140                    2.0             0.0  Distributed Systems (Back-End)   \n",
       "30142                    4.0             2.0      API Development (Back-End)   \n",
       "30143                    7.0             7.0                      Networking   \n",
       "30144                    1.0             0.0                         Android   \n",
       "\n",
       "           basesalary  stockgrantvalue    bonus gender  \\\n",
       "rowNumber                                                \n",
       "1               107.0             20.0     10.0    NaN   \n",
       "2                 NaN              NaN      NaN    NaN   \n",
       "3               155.0              NaN      NaN    NaN   \n",
       "4            180000.0        1550000.0   9000.0    NaN   \n",
       "5            169000.0         100000.0  30000.0    NaN   \n",
       "...               ...              ...      ...    ...   \n",
       "30139           187.0            150.0     33.0   Male   \n",
       "30140           177.0              0.0     35.0   Male   \n",
       "30142            98.0             57.0     30.0   Male   \n",
       "30143           110.0             55.0     15.0   Male   \n",
       "30144           130.0             12.0      0.0   Male   \n",
       "\n",
       "                               otherdetails   cityid  dmaid  \n",
       "rowNumber                                                    \n",
       "1                                       NaN   7392.0  807.0  \n",
       "2                                       NaN   7419.0  807.0  \n",
       "3                                       NaN  11527.0  819.0  \n",
       "4          Stock based on $48.65 per share.   7419.0  807.0  \n",
       "5                                       NaN  11521.0  819.0  \n",
       "...                                     ...      ...    ...  \n",
       "30139                                   NaN  10182.0  501.0  \n",
       "30140                           25k signing  10182.0  501.0  \n",
       "30142                                   NaN  12008.0    0.0  \n",
       "30143                                   NaN  15900.0    0.0  \n",
       "30144                                   NaN   7419.0  807.0  \n",
       "\n",
       "[24753 rows x 17 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_json('data/raw_comp_data.json').to_csv('data/raw_comp_data.csv')\n",
    "comp_raw = pd.read_csv('data/raw_comp_data.csv', index_col=\"rowNumber\")\n",
    "comp_raw.dtypes\n",
    "comp_raw"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
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    "id": "hIRTvjqUD7ts",
    "outputId": "5585123e-f586-4ced-b070-24cf29e6ccb3"
   },
   "outputs": [
    {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>raw_total_comp</th>\n",
       "      <th>raw_salary</th>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>127.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2017-06-07 11:33:27</td>\n",
       "      <td>Oracle</td>\n",
       "      <td>L3</td>\n",
       "      <td>Product Manager</td>\n",
       "      <td>Redwood City, CA</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-06-10 17:11:29</td>\n",
       "      <td>eBay</td>\n",
       "      <td>SE 2</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>310.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-06-11 14:53:57</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L7</td>\n",
       "      <td>Product Manager</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>578.0</td>\n",
       "      <td>180000.0</td>\n",
       "      <td>1550000.0</td>\n",
       "      <td>9000.0</td>\n",
       "      <td>2017-06-13 05:35:36</td>\n",
       "      <td>Uber</td>\n",
       "      <td>Senior</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stock based on $48.65 per share.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>200.0</td>\n",
       "      <td>169000.0</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>30000.0</td>\n",
       "      <td>2017-06-14 21:22:25</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>64</td>\n",
       "      <td>Software Engineering Manager</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30139</th>\n",
       "      <td>370.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>2020-06-05 08:52:54</td>\n",
       "      <td>Twitter</td>\n",
       "      <td>Senior SWE</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>iOS</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30140</th>\n",
       "      <td>212.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>2020-06-05 09:19:09</td>\n",
       "      <td>Bloomberg</td>\n",
       "      <td>Senior Software Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>25k signing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30142</th>\n",
       "      <td>185.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2020-06-05 09:53:21</td>\n",
       "      <td>Google</td>\n",
       "      <td>L4</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>London, EN, United Kingdom</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30143</th>\n",
       "      <td>180.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2020-06-05 09:58:40</td>\n",
       "      <td>Broadcom</td>\n",
       "      <td>ICB 3</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Tel Aviv, TA, Israel</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Networking</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30144</th>\n",
       "      <td>142.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020-06-05 10:07:11</td>\n",
       "      <td>Postmates</td>\n",
       "      <td>Product Manager</td>\n",
       "      <td>Product Manager</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Android</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24753 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          raw_total_comp  raw_salary  raw_stock  raw_bonus  \\\n",
       "entry_id                                                     \n",
       "1                  127.0       107.0       20.0       10.0   \n",
       "2                  100.0         NaN        NaN        NaN   \n",
       "3                  310.0       155.0        NaN        NaN   \n",
       "4                  578.0    180000.0  1550000.0     9000.0   \n",
       "5                  200.0    169000.0   100000.0    30000.0   \n",
       "...                  ...         ...        ...        ...   \n",
       "30139              370.0       187.0      150.0       33.0   \n",
       "30140              212.0       177.0        0.0       35.0   \n",
       "30142              185.0        98.0       57.0       30.0   \n",
       "30143              180.0       110.0       55.0       15.0   \n",
       "30144              142.0       130.0       12.0        0.0   \n",
       "\n",
       "                    timestamp    company                     level  \\\n",
       "entry_id                                                             \n",
       "1         2017-06-07 11:33:27     Oracle                        L3   \n",
       "2         2017-06-10 17:11:29       eBay                      SE 2   \n",
       "3         2017-06-11 14:53:57     Amazon                        L7   \n",
       "4         2017-06-13 05:35:36       Uber                    Senior   \n",
       "5         2017-06-14 21:22:25  Microsoft                        64   \n",
       "...                       ...        ...                       ...   \n",
       "30139     2020-06-05 08:52:54    Twitter                Senior SWE   \n",
       "30140     2020-06-05 09:19:09  Bloomberg  Senior Software Engineer   \n",
       "30142     2020-06-05 09:53:21     Google                        L4   \n",
       "30143     2020-06-05 09:58:40   Broadcom                     ICB 3   \n",
       "30144     2020-06-05 10:07:11  Postmates           Product Manager   \n",
       "\n",
       "                                 title                    location  \\\n",
       "entry_id                                                             \n",
       "1                      Product Manager            Redwood City, CA   \n",
       "2                    Software Engineer           San Francisco, CA   \n",
       "3                      Product Manager                 Seattle, WA   \n",
       "4                    Software Engineer           San Francisco, CA   \n",
       "5         Software Engineering Manager                 Redmond, WA   \n",
       "...                                ...                         ...   \n",
       "30139                Software Engineer                New York, NY   \n",
       "30140                Software Engineer                New York, NY   \n",
       "30142                Software Engineer  London, EN, United Kingdom   \n",
       "30143                Software Engineer        Tel Aviv, TA, Israel   \n",
       "30144                  Product Manager           San Francisco, CA   \n",
       "\n",
       "          years_experience  years_company                             tag  \\\n",
       "entry_id                                                                    \n",
       "1                      1.5            1.5                             NaN   \n",
       "2                      5.0            3.0                             NaN   \n",
       "3                      8.0            0.0                             NaN   \n",
       "4                     10.0            2.0                             NaN   \n",
       "5                      9.0            9.0                             NaN   \n",
       "...                    ...            ...                             ...   \n",
       "30139                 10.0            6.0                             iOS   \n",
       "30140                  2.0            0.0  Distributed Systems (Back-End)   \n",
       "30142                  4.0            2.0      API Development (Back-End)   \n",
       "30143                  7.0            7.0                      Networking   \n",
       "30144                  1.0            0.0                         Android   \n",
       "\n",
       "         gender                      otherdetails  \n",
       "entry_id                                           \n",
       "1           NaN                               NaN  \n",
       "2           NaN                               NaN  \n",
       "3           NaN                               NaN  \n",
       "4           NaN  Stock based on $48.65 per share.  \n",
       "5           NaN                               NaN  \n",
       "...         ...                               ...  \n",
       "30139      Male                               NaN  \n",
       "30140      Male                       25k signing  \n",
       "30142      Male                               NaN  \n",
       "30143      Male                               NaN  \n",
       "30144      Male                               NaN  \n",
       "\n",
       "[24753 rows x 14 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comp_renamed = comp_raw.rename(columns={\n",
    "    \"totalyearlycompensation\": \"raw_total_comp\",\n",
    "    \"basesalary\": \"raw_salary\",\n",
    "    \"stockgrantvalue\": \"raw_stock\",\n",
    "    \"bonus\": \"raw_bonus\",\n",
    "    \"yearsofexperience\": \"years_experience\",\n",
    "    \"yearsatcompany\": \"years_company\",\n",
    "})\n",
    "comp_renamed = pd.concat([\n",
    "    comp_renamed.raw_total_comp,\n",
    "    comp_renamed.raw_salary,\n",
    "    comp_renamed.raw_stock,\n",
    "    comp_renamed.raw_bonus,\n",
    "    comp_renamed.drop(columns=['raw_total_comp', 'raw_salary', 'raw_stock', 'raw_bonus'])\n",
    "], axis=1)\n",
    "comp_renamed = comp_renamed.drop(columns=['cityid', 'dmaid', 'Unnamed: 0'])\n",
    "comp_renamed.index.rename(\"entry_id\", inplace=True)\n",
    "comp_renamed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>raw_total_comp</th>\n",
       "      <th>raw_salary</th>\n",
       "      <th>raw_stock</th>\n",
       "      <th>raw_bonus</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>company</th>\n",
       "      <th>level</th>\n",
       "      <th>title</th>\n",
       "      <th>location</th>\n",
       "      <th>years_experience</th>\n",
       "      <th>years_company</th>\n",
       "      <th>tag</th>\n",
       "      <th>gender</th>\n",
       "      <th>otherdetails</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>entry_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>578.0</td>\n",
       "      <td>180000.0</td>\n",
       "      <td>1550000.0</td>\n",
       "      <td>9000.0</td>\n",
       "      <td>2017-06-13 05:35:36</td>\n",
       "      <td>Uber</td>\n",
       "      <td>Senior</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stock based on $48.65 per share.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>173.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>53000.0</td>\n",
       "      <td>2017-06-16 10:44:01</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L5</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Vancouver, BC, Canada</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>270.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2017-06-18 23:37:21</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>E4</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Menlo Park, CA</td>\n",
       "      <td>3.5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>190.0</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>80000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2017-06-20 18:49:59</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L5</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>156.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2017-06-22 13:55:26</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>62</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30133</th>\n",
       "      <td>115.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020-06-05 04:13:25</td>\n",
       "      <td>IBM</td>\n",
       "      <td>Advisory Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Madison, WI</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>Masters</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30139</th>\n",
       "      <td>370.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>2020-06-05 08:52:54</td>\n",
       "      <td>Twitter</td>\n",
       "      <td>Senior SWE</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>iOS</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30140</th>\n",
       "      <td>212.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>2020-06-05 09:19:09</td>\n",
       "      <td>Bloomberg</td>\n",
       "      <td>Senior Software Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>25k signing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30142</th>\n",
       "      <td>185.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2020-06-05 09:53:21</td>\n",
       "      <td>Google</td>\n",
       "      <td>L4</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>London, EN, United Kingdom</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30143</th>\n",
       "      <td>180.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2020-06-05 09:58:40</td>\n",
       "      <td>Broadcom</td>\n",
       "      <td>ICB 3</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Tel Aviv, TA, Israel</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Networking</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14808 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          raw_total_comp  raw_salary  raw_stock  raw_bonus  \\\n",
       "entry_id                                                     \n",
       "4                  578.0    180000.0  1550000.0     9000.0   \n",
       "6                  173.0    120000.0        0.0    53000.0   \n",
       "8                  270.0       160.0        0.0        0.0   \n",
       "10                 190.0    110000.0    80000.0        0.0   \n",
       "13                 156.0       135.0        8.0       13.0   \n",
       "...                  ...         ...        ...        ...   \n",
       "30133              115.0       115.0        0.0        0.0   \n",
       "30139              370.0       187.0      150.0       33.0   \n",
       "30140              212.0       177.0        0.0       35.0   \n",
       "30142              185.0        98.0       57.0       30.0   \n",
       "30143              180.0       110.0       55.0       15.0   \n",
       "\n",
       "                    timestamp    company                     level  \\\n",
       "entry_id                                                             \n",
       "4         2017-06-13 05:35:36       Uber                    Senior   \n",
       "6         2017-06-16 10:44:01     Amazon                        L5   \n",
       "8         2017-06-18 23:37:21   Facebook                        E4   \n",
       "10        2017-06-20 18:49:59     Amazon                        L5   \n",
       "13        2017-06-22 13:55:26  Microsoft                        62   \n",
       "...                       ...        ...                       ...   \n",
       "30133     2020-06-05 04:13:25        IBM         Advisory Engineer   \n",
       "30139     2020-06-05 08:52:54    Twitter                Senior SWE   \n",
       "30140     2020-06-05 09:19:09  Bloomberg  Senior Software Engineer   \n",
       "30142     2020-06-05 09:53:21     Google                        L4   \n",
       "30143     2020-06-05 09:58:40   Broadcom                     ICB 3   \n",
       "\n",
       "                      title                    location  years_experience  \\\n",
       "entry_id                                                                    \n",
       "4         Software Engineer           San Francisco, CA              10.0   \n",
       "6         Software Engineer       Vancouver, BC, Canada              11.0   \n",
       "8         Software Engineer              Menlo Park, CA               3.5   \n",
       "10        Software Engineer                 Seattle, WA               3.0   \n",
       "13        Software Engineer                 Seattle, WA               4.0   \n",
       "...                     ...                         ...               ...   \n",
       "30133     Software Engineer                 Madison, WI               6.0   \n",
       "30139     Software Engineer                New York, NY              10.0   \n",
       "30140     Software Engineer                New York, NY               2.0   \n",
       "30142     Software Engineer  London, EN, United Kingdom               4.0   \n",
       "30143     Software Engineer        Tel Aviv, TA, Israel               7.0   \n",
       "\n",
       "          years_company                             tag gender  \\\n",
       "entry_id                                                         \n",
       "4                   2.0                             NaN    NaN   \n",
       "6                   1.0                             NaN    NaN   \n",
       "8                   2.0                             NaN    NaN   \n",
       "10                  3.0                             NaN    NaN   \n",
       "13                  4.0                             NaN    NaN   \n",
       "...                 ...                             ...    ...   \n",
       "30133               1.0  Distributed Systems (Back-End)   Male   \n",
       "30139               6.0                             iOS   Male   \n",
       "30140               0.0  Distributed Systems (Back-End)   Male   \n",
       "30142               2.0      API Development (Back-End)   Male   \n",
       "30143               7.0                      Networking   Male   \n",
       "\n",
       "                              otherdetails  \n",
       "entry_id                                    \n",
       "4         Stock based on $48.65 per share.  \n",
       "6                                      NaN  \n",
       "8                                      NaN  \n",
       "10                                     NaN  \n",
       "13                                     NaN  \n",
       "...                                    ...  \n",
       "30133                              Masters  \n",
       "30139                                  NaN  \n",
       "30140                          25k signing  \n",
       "30142                                  NaN  \n",
       "30143                                  NaN  \n",
       "\n",
       "[14808 rows x 14 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comp_swe = comp_renamed[comp_renamed['title'] == 'Software Engineer'] # Filters for non-SWE roles\n",
    "comp_swe = comp_swe.dropna(subset=['raw_salary'])\n",
    "comp_swe = comp_swe.fillna(value={'raw_stock': 0, 'raw_bonus': 0})\n",
    "comp_swe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scale Target Values to 1000's"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>raw_total_comp</th>\n",
       "      <th>raw_salary</th>\n",
       "      <th>raw_stock</th>\n",
       "      <th>raw_bonus</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>company</th>\n",
       "      <th>level</th>\n",
       "      <th>title</th>\n",
       "      <th>location</th>\n",
       "      <th>years_experience</th>\n",
       "      <th>years_company</th>\n",
       "      <th>tag</th>\n",
       "      <th>gender</th>\n",
       "      <th>otherdetails</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>entry_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12694</th>\n",
       "      <td>2500.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>2019-07-31 22:52:33</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>69</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>11.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21423</th>\n",
       "      <td>2400.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2020-01-30 15:13:18</td>\n",
       "      <td>Doordash</td>\n",
       "      <td>E7</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9041</th>\n",
       "      <td>2221.0</td>\n",
       "      <td>275.0</td>\n",
       "      <td>1867.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>2019-05-23 13:45:55</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>E7</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>8.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11377</th>\n",
       "      <td>1800.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>2019-07-02 15:05:10</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>E8</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Menlo Park, CA</td>\n",
       "      <td>31.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>Security</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28380</th>\n",
       "      <td>1800.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2020-05-11 21:51:56</td>\n",
       "      <td>Google</td>\n",
       "      <td>L8</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>15.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>Male</td>\n",
       "      <td>PhD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8202</th>\n",
       "      <td>1750.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>2019-04-27 21:44:39</td>\n",
       "      <td>Google</td>\n",
       "      <td>Distinguished Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Mountain View, CA</td>\n",
       "      <td>22.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>Security</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14822</th>\n",
       "      <td>1630.0</td>\n",
       "      <td>330.0</td>\n",
       "      <td>1150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>2019-09-15 09:55:05</td>\n",
       "      <td>Google</td>\n",
       "      <td>L8</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Mountain View, CA</td>\n",
       "      <td>16.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>1500.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>1150.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>2018-01-27 07:29:30</td>\n",
       "      <td>Uber</td>\n",
       "      <td>L6</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>15.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7029</th>\n",
       "      <td>1450.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>1085.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>2019-03-24 20:15:29</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>E8</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Menlo Park, CA</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14501</th>\n",
       "      <td>1425.0</td>\n",
       "      <td>320.0</td>\n",
       "      <td>975.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>2019-09-12 20:33:30</td>\n",
       "      <td>Apple</td>\n",
       "      <td>Technical Director</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Cupertino, CA</td>\n",
       "      <td>30.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>iOS</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10322</th>\n",
       "      <td>1400.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>1050.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>2019-06-16 15:31:13</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>E7</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Menlo Park, CA</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>636</th>\n",
       "      <td>1400.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>1150.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-05-13 23:54:26</td>\n",
       "      <td>Snap</td>\n",
       "      <td>L7</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15484</th>\n",
       "      <td>1300.0</td>\n",
       "      <td>285.0</td>\n",
       "      <td>872.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>2019-09-27 20:52:00</td>\n",
       "      <td>VMware</td>\n",
       "      <td>Principal Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Atlanta, GA</td>\n",
       "      <td>22.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Mobile (iOS + Android)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21884</th>\n",
       "      <td>1300.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>950.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>2020-02-06 11:09:06</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>IC7</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Menlo Park, CA</td>\n",
       "      <td>22.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>iOS</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20148</th>\n",
       "      <td>1250.0</td>\n",
       "      <td>335.0</td>\n",
       "      <td>780.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>2020-01-13 21:16:14</td>\n",
       "      <td>Google</td>\n",
       "      <td>L8</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Mountain View, CA</td>\n",
       "      <td>19.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Masters and PhD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10043</th>\n",
       "      <td>1200.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>850.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>2019-06-15 17:32:52</td>\n",
       "      <td>Apple</td>\n",
       "      <td>Director 1</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Cupertino, CA</td>\n",
       "      <td>35.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>1120.0</td>\n",
       "      <td>252.0</td>\n",
       "      <td>790.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>2018-01-24 04:51:35</td>\n",
       "      <td>Google</td>\n",
       "      <td>T7</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17526</th>\n",
       "      <td>1101.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>625.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>2019-11-13 11:53:44</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>E7</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Menlo Park, CA</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>Android</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3165</th>\n",
       "      <td>1070.0</td>\n",
       "      <td>286.0</td>\n",
       "      <td>649.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>2018-10-27 14:08:52</td>\n",
       "      <td>Google</td>\n",
       "      <td>L7</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Mountain View, CA</td>\n",
       "      <td>27.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Networking</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Form limits to $999k. Should be $1070k total, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10662</th>\n",
       "      <td>1030.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>630.0</td>\n",
       "      <td>2019-06-18 17:00:28</td>\n",
       "      <td>Jane Street Capital</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20063</th>\n",
       "      <td>1010.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>665.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>2020-01-11 20:18:16</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>E7</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Menlo Park, CA</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>Masters</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17844</th>\n",
       "      <td>1005.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>2019-11-19 23:03:16</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>E7</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Menlo Park, CA</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          raw_total_comp  raw_salary  raw_stock  raw_bonus  \\\n",
       "entry_id                                                     \n",
       "12694             2500.0       350.0     1500.0      650.0   \n",
       "21423             2400.0       500.0     1800.0      100.0   \n",
       "9041              2221.0       275.0     1867.0       79.0   \n",
       "11377             1800.0       350.0      700.0      750.0   \n",
       "28380             1800.0       300.0     1400.0      100.0   \n",
       "8202              1750.0       200.0     1200.0      350.0   \n",
       "14822             1630.0       330.0     1150.0      150.0   \n",
       "248               1500.0       300.0     1150.0       50.0   \n",
       "7029              1450.0       300.0     1085.0       65.0   \n",
       "14501             1425.0       320.0      975.0      130.0   \n",
       "10322             1400.0       280.0     1050.0       70.0   \n",
       "636               1400.0       250.0     1150.0        0.0   \n",
       "15484             1300.0       285.0      872.0      143.0   \n",
       "21884             1300.0       280.0      950.0       70.0   \n",
       "20148             1250.0       335.0      780.0      140.0   \n",
       "10043             1200.0       300.0      850.0       50.0   \n",
       "242               1120.0       252.0      790.0       78.0   \n",
       "17526             1101.0       280.0      625.0      196.0   \n",
       "3165              1070.0       286.0      649.0       64.0   \n",
       "10662             1030.0       400.0        0.0      630.0   \n",
       "20063             1010.0       280.0      665.0       65.0   \n",
       "17844             1005.0       280.0      550.0      170.0   \n",
       "\n",
       "                    timestamp              company                   level  \\\n",
       "entry_id                                                                     \n",
       "12694     2019-07-31 22:52:33            Microsoft                      69   \n",
       "21423     2020-01-30 15:13:18             Doordash                      E7   \n",
       "9041      2019-05-23 13:45:55             Facebook                      E7   \n",
       "11377     2019-07-02 15:05:10             Facebook                      E8   \n",
       "28380     2020-05-11 21:51:56              Google                       L8   \n",
       "8202      2019-04-27 21:44:39               Google  Distinguished Engineer   \n",
       "14822     2019-09-15 09:55:05               Google                      L8   \n",
       "248       2018-01-27 07:29:30                 Uber                      L6   \n",
       "7029      2019-03-24 20:15:29             Facebook                      E8   \n",
       "14501     2019-09-12 20:33:30                Apple      Technical Director   \n",
       "10322     2019-06-16 15:31:13             Facebook                      E7   \n",
       "636       2018-05-13 23:54:26                 Snap                      L7   \n",
       "15484     2019-09-27 20:52:00               VMware      Principal Engineer   \n",
       "21884     2020-02-06 11:09:06             Facebook                     IC7   \n",
       "20148     2020-01-13 21:16:14               Google                      L8   \n",
       "10043     2019-06-15 17:32:52                Apple              Director 1   \n",
       "242       2018-01-24 04:51:35               Google                      T7   \n",
       "17526     2019-11-13 11:53:44             Facebook                      E7   \n",
       "3165      2018-10-27 14:08:52               Google                      L7   \n",
       "10662     2019-06-18 17:00:28  Jane Street Capital       Software Engineer   \n",
       "20063     2020-01-11 20:18:16             Facebook                      E7   \n",
       "17844     2019-11-19 23:03:16             Facebook                      E7   \n",
       "\n",
       "                      title           location  years_experience  \\\n",
       "entry_id                                                           \n",
       "12694     Software Engineer        Redmond, WA              11.0   \n",
       "21423     Software Engineer        Seattle, WA              20.0   \n",
       "9041      Software Engineer       New York, NY               8.0   \n",
       "11377     Software Engineer     Menlo Park, CA              31.0   \n",
       "28380     Software Engineer        Seattle, WA              15.0   \n",
       "8202      Software Engineer  Mountain View, CA              22.0   \n",
       "14822     Software Engineer  Mountain View, CA              16.0   \n",
       "248       Software Engineer  San Francisco, CA              15.0   \n",
       "7029      Software Engineer     Menlo Park, CA               7.0   \n",
       "14501     Software Engineer      Cupertino, CA              30.0   \n",
       "10322     Software Engineer     Menlo Park, CA              25.0   \n",
       "636       Software Engineer  San Francisco, CA              11.0   \n",
       "15484     Software Engineer        Atlanta, GA              22.0   \n",
       "21884     Software Engineer     Menlo Park, CA              22.0   \n",
       "20148     Software Engineer  Mountain View, CA              19.0   \n",
       "10043     Software Engineer      Cupertino, CA              35.0   \n",
       "242       Software Engineer       New York, NY              10.0   \n",
       "17526     Software Engineer     Menlo Park, CA              20.0   \n",
       "3165      Software Engineer  Mountain View, CA              27.0   \n",
       "10662     Software Engineer       New York, NY               7.0   \n",
       "20063     Software Engineer     Menlo Park, CA              15.0   \n",
       "17844     Software Engineer     Menlo Park, CA              20.0   \n",
       "\n",
       "          years_company                             tag  gender  \\\n",
       "entry_id                                                          \n",
       "12694              11.0                         ML / AI  Female   \n",
       "21423               2.0                         ML / AI     NaN   \n",
       "9041                6.0                      Full Stack    Male   \n",
       "11377              11.0                        Security    Male   \n",
       "28380              10.0                         ML / AI    Male   \n",
       "8202               18.0                        Security    Male   \n",
       "14822              12.0                         ML / AI    Male   \n",
       "248                 3.0                             NaN     NaN   \n",
       "7029                5.0                         ML / AI    Male   \n",
       "14501              19.0                             iOS    Male   \n",
       "10322               5.0  Distributed Systems (Back-End)    Male   \n",
       "636                 2.0                             NaN    Male   \n",
       "15484              10.0          Mobile (iOS + Android)    Male   \n",
       "21884               8.0                             iOS    Male   \n",
       "20148               9.0                         ML / AI     NaN   \n",
       "10043              10.0  Distributed Systems (Back-End)     NaN   \n",
       "242                 7.0                             NaN     NaN   \n",
       "17526               0.5                         Android    Male   \n",
       "3165                9.0                      Networking     NaN   \n",
       "10662               4.0  Distributed Systems (Back-End)    Male   \n",
       "20063               2.0  Distributed Systems (Back-End)    Male   \n",
       "17844               0.0                         ML / AI    Male   \n",
       "\n",
       "                                               otherdetails  \n",
       "entry_id                                                     \n",
       "12694                                                   NaN  \n",
       "21423                                                   NaN  \n",
       "9041                                                    NaN  \n",
       "11377                                                   NaN  \n",
       "28380                                                   PhD  \n",
       "8202                                                    NaN  \n",
       "14822                                                   NaN  \n",
       "248                                                     NaN  \n",
       "7029                                                    NaN  \n",
       "14501                                                   NaN  \n",
       "10322                                                   NaN  \n",
       "636                                                     NaN  \n",
       "15484                                                   NaN  \n",
       "21884                                                   NaN  \n",
       "20148                                       Masters and PhD  \n",
       "10043                                                   NaN  \n",
       "242                                                     NaN  \n",
       "17526                                                   NaN  \n",
       "3165      Form limits to $999k. Should be $1070k total, ...  \n",
       "10662                                                   NaN  \n",
       "20063                                               Masters  \n",
       "17844                                                   NaN  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# OUTPUT IMPLICATIONS\n",
    "# Total comp is already scaled down to 1000's number\n",
    "# Maximum total comp is $2.5m\n",
    "comp_swe[comp_swe.raw_total_comp > 999].sort_values(by='raw_total_comp', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>raw_total_comp</th>\n",
       "      <th>raw_salary</th>\n",
       "      <th>raw_stock</th>\n",
       "      <th>raw_bonus</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>company</th>\n",
       "      <th>level</th>\n",
       "      <th>title</th>\n",
       "      <th>location</th>\n",
       "      <th>years_experience</th>\n",
       "      <th>years_company</th>\n",
       "      <th>tag</th>\n",
       "      <th>gender</th>\n",
       "      <th>otherdetails</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>entry_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>300.0</td>\n",
       "      <td>2000000.0</td>\n",
       "      <td>45000.0</td>\n",
       "      <td>55000.0</td>\n",
       "      <td>2018-02-19 19:14:29</td>\n",
       "      <td>Intel</td>\n",
       "      <td>Principal engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Hillsboro, OR</td>\n",
       "      <td>22.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>889</th>\n",
       "      <td>162.0</td>\n",
       "      <td>1620000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-06-12 05:04:06</td>\n",
       "      <td>Squarespace</td>\n",
       "      <td>Senior I</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>Lots of vested ISOs, some fresh RSUs, illiquid.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2177</th>\n",
       "      <td>630.0</td>\n",
       "      <td>600000.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-09-20 22:40:58</td>\n",
       "      <td>Netflix</td>\n",
       "      <td>Senior Software Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Los Gatos, CA</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12194</th>\n",
       "      <td>440.0</td>\n",
       "      <td>425000.0</td>\n",
       "      <td>21000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-07-21 17:26:13</td>\n",
       "      <td>Netflix</td>\n",
       "      <td>Senior Software Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Los Gatos, CA</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11988</th>\n",
       "      <td>430.0</td>\n",
       "      <td>410000.0</td>\n",
       "      <td>20500.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-07-16 21:41:33</td>\n",
       "      <td>Netflix</td>\n",
       "      <td>Senior Software Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Los Gatos, CA</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>145.0</td>\n",
       "      <td>12000.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>2018-03-06 18:50:18</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L4</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>615</th>\n",
       "      <td>133.0</td>\n",
       "      <td>12000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2018-05-10 17:50:23</td>\n",
       "      <td>NetApp</td>\n",
       "      <td>MTS III</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Pittsburgh, PA</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8266</th>\n",
       "      <td>120.0</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>2019-04-30 16:09:30</td>\n",
       "      <td>USAA</td>\n",
       "      <td>Software Engineer I</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Phoenix, AZ</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13778</th>\n",
       "      <td>75.0</td>\n",
       "      <td>7111.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>889.0</td>\n",
       "      <td>2019-08-28 00:15:04</td>\n",
       "      <td>Rakuten</td>\n",
       "      <td>A</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Tokyo, TY, Japan</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16438</th>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-10-18 13:57:18</td>\n",
       "      <td>Netflix</td>\n",
       "      <td>Senior Software Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Los Gatos, CA</td>\n",
       "      <td>15.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Security</td>\n",
       "      <td>Male</td>\n",
       "      <td>+5% into stock option plan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>534 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          raw_total_comp  raw_salary  raw_stock  raw_bonus  \\\n",
       "entry_id                                                     \n",
       "322                300.0   2000000.0    45000.0    55000.0   \n",
       "889                162.0   1620000.0        0.0        0.0   \n",
       "2177               630.0    600000.0       30.0        0.0   \n",
       "12194              440.0    425000.0    21000.0        0.0   \n",
       "11988              430.0    410000.0    20500.0        0.0   \n",
       "...                  ...         ...        ...        ...   \n",
       "363                145.0     12000.0     5000.0    20000.0   \n",
       "615                133.0     12000.0        0.0       13.0   \n",
       "8266               120.0     10000.0        0.0    20000.0   \n",
       "13778               75.0      7111.0        0.0      889.0   \n",
       "16438              750.0       750.0        0.0        0.0   \n",
       "\n",
       "                    timestamp      company                     level  \\\n",
       "entry_id                                                               \n",
       "322       2018-02-19 19:14:29        Intel        Principal engineer   \n",
       "889       2018-06-12 05:04:06  Squarespace                  Senior I   \n",
       "2177      2018-09-20 22:40:58      Netflix  Senior Software Engineer   \n",
       "12194     2019-07-21 17:26:13      Netflix  Senior Software Engineer   \n",
       "11988     2019-07-16 21:41:33      Netflix  Senior Software Engineer   \n",
       "...                       ...          ...                       ...   \n",
       "363       2018-03-06 18:50:18       Amazon                        L4   \n",
       "615       2018-05-10 17:50:23       NetApp                   MTS III   \n",
       "8266      2019-04-30 16:09:30         USAA       Software Engineer I   \n",
       "13778     2019-08-28 00:15:04      Rakuten                         A   \n",
       "16438     2019-10-18 13:57:18      Netflix  Senior Software Engineer   \n",
       "\n",
       "                      title          location  years_experience  \\\n",
       "entry_id                                                          \n",
       "322       Software Engineer     Hillsboro, OR              22.0   \n",
       "889       Software Engineer      New York, NY               7.0   \n",
       "2177      Software Engineer     Los Gatos, CA              10.0   \n",
       "12194     Software Engineer     Los Gatos, CA               7.0   \n",
       "11988     Software Engineer     Los Gatos, CA              10.0   \n",
       "...                     ...               ...               ...   \n",
       "363       Software Engineer       Seattle, WA               3.0   \n",
       "615       Software Engineer    Pittsburgh, PA               6.0   \n",
       "8266      Software Engineer       Phoenix, AZ               8.0   \n",
       "13778     Software Engineer  Tokyo, TY, Japan               7.0   \n",
       "16438     Software Engineer     Los Gatos, CA              15.0   \n",
       "\n",
       "          years_company                             tag gender  \\\n",
       "entry_id                                                         \n",
       "322                20.0                             NaN    NaN   \n",
       "889                 7.0      API Development (Back-End)   Male   \n",
       "2177                1.0  Distributed Systems (Back-End)    NaN   \n",
       "12194               0.0  Distributed Systems (Back-End)   Male   \n",
       "11988               2.0  Distributed Systems (Back-End)   Male   \n",
       "...                 ...                             ...    ...   \n",
       "363                 0.6                             NaN    NaN   \n",
       "615                 3.0                             NaN   Male   \n",
       "8266                0.0      API Development (Back-End)   Male   \n",
       "13778               5.0      API Development (Back-End)   Male   \n",
       "16438               7.0                        Security   Male   \n",
       "\n",
       "                                             otherdetails  \n",
       "entry_id                                                   \n",
       "322                                                   NaN  \n",
       "889       Lots of vested ISOs, some fresh RSUs, illiquid.  \n",
       "2177                                                  NaN  \n",
       "12194                                                 NaN  \n",
       "11988                                                 NaN  \n",
       "...                                                   ...  \n",
       "363                                                   NaN  \n",
       "615                                                   NaN  \n",
       "8266                                                  NaN  \n",
       "13778                                                 NaN  \n",
       "16438                          +5% into stock option plan  \n",
       "\n",
       "[534 rows x 14 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# OUTPUT IMPLICATION\n",
    "# Salary needs to be scaled down for all values above 5,000\n",
    "# Maximum SCALED salary is $750k from Netflix\n",
    "# Entry 13778 needs to be dropped\n",
    "# Entry 322 and 889 salaries need to fixed or dropped\n",
    "comp_swe[comp_swe.raw_salary > 700].sort_values(by='raw_salary', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1485</th>\n",
       "      <td>240.000</td>\n",
       "      <td>156.0</td>\n",
       "      <td>9720.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>2018-08-16 08:38:48</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L5</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>987</th>\n",
       "      <td>130.000</td>\n",
       "      <td>118000.0</td>\n",
       "      <td>9365.0</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>2018-06-25 17:28:00</td>\n",
       "      <td>Intuit</td>\n",
       "      <td>2</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Web Development (Front-End)</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>155.000</td>\n",
       "      <td>129000.0</td>\n",
       "      <td>9000.0</td>\n",
       "      <td>17000.0</td>\n",
       "      <td>2017-11-25 22:35:02</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>61</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>654</th>\n",
       "      <td>157.056</td>\n",
       "      <td>133956.0</td>\n",
       "      <td>9000.0</td>\n",
       "      <td>14100.0</td>\n",
       "      <td>2018-05-16 16:34:37</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>61</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>633</th>\n",
       "      <td>193.000</td>\n",
       "      <td>155000.0</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>30000.0</td>\n",
       "      <td>2018-05-13 07:26:37</td>\n",
       "      <td>Intel</td>\n",
       "      <td>Grade 8</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Santa Clara, CA</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5861</th>\n",
       "      <td>116.000</td>\n",
       "      <td>108.0</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-02-13 12:28:11</td>\n",
       "      <td>Oracle</td>\n",
       "      <td>IC-2</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Jose, CA</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>703</th>\n",
       "      <td>180.000</td>\n",
       "      <td>130000.0</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>2018-05-22 09:24:16</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>61</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1589</th>\n",
       "      <td>157.000</td>\n",
       "      <td>134000.0</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>2018-08-21 10:13:59</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>61</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Firmware</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1219</th>\n",
       "      <td>151.000</td>\n",
       "      <td>113000.0</td>\n",
       "      <td>7500.0</td>\n",
       "      <td>30000.0</td>\n",
       "      <td>2018-07-28 15:23:19</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L4</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Palo Alto, CA</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>212.000</td>\n",
       "      <td>150000.0</td>\n",
       "      <td>7500.0</td>\n",
       "      <td>55000.0</td>\n",
       "      <td>2017-07-25 11:01:33</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>SDE II</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1232</th>\n",
       "      <td>135.000</td>\n",
       "      <td>106000.0</td>\n",
       "      <td>7500.0</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>2018-07-29 23:22:30</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>58</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14081</th>\n",
       "      <td>84.000</td>\n",
       "      <td>75000.0</td>\n",
       "      <td>7500.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-09-04 15:27:33</td>\n",
       "      <td>Oracle</td>\n",
       "      <td>IC-3</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Kitchener, ON, Canada</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>553</th>\n",
       "      <td>135.000</td>\n",
       "      <td>120.0</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>2018-04-28 18:56:36</td>\n",
       "      <td>Intel</td>\n",
       "      <td>grade 6</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Santa Clara, CA</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1519</th>\n",
       "      <td>145.000</td>\n",
       "      <td>130.0</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>6500.0</td>\n",
       "      <td>2018-08-17 06:33:01</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>61</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>Data</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1138</th>\n",
       "      <td>182.000</td>\n",
       "      <td>155000.0</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>2018-07-17 07:27:18</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>L64</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>10.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1495</th>\n",
       "      <td>154.000</td>\n",
       "      <td>140.0</td>\n",
       "      <td>6600.0</td>\n",
       "      <td>6400.0</td>\n",
       "      <td>2018-08-16 12:19:09</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>62</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>12.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7579</th>\n",
       "      <td>118.000</td>\n",
       "      <td>112.0</td>\n",
       "      <td>6250.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-04-09 17:53:06</td>\n",
       "      <td>Pivotal</td>\n",
       "      <td>P2</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>109.000</td>\n",
       "      <td>93420.0</td>\n",
       "      <td>6250.0</td>\n",
       "      <td>9342.0</td>\n",
       "      <td>2018-02-25 18:00:15</td>\n",
       "      <td>eBay</td>\n",
       "      <td>SE 2</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Portland, OR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>118.000</td>\n",
       "      <td>105000.0</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>2017-11-30 05:35:08</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>62</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Dublin, DN, Ireland</td>\n",
       "      <td>15.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1451</th>\n",
       "      <td>180.000</td>\n",
       "      <td>153.0</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>16099.0</td>\n",
       "      <td>2018-08-15 16:33:09</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>62</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Sql</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>774</th>\n",
       "      <td>190.000</td>\n",
       "      <td>145000.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>45000.0</td>\n",
       "      <td>2018-06-01 14:38:55</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L5</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Bellevue, WA</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1154</th>\n",
       "      <td>140.000</td>\n",
       "      <td>117500.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>17625.0</td>\n",
       "      <td>2018-07-18 18:43:55</td>\n",
       "      <td>Oath</td>\n",
       "      <td>IC3</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Data Engineering</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>145.000</td>\n",
       "      <td>12000.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>2018-03-06 18:50:18</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L4</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>740</th>\n",
       "      <td>145.000</td>\n",
       "      <td>125000.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>2018-05-28 16:42:13</td>\n",
       "      <td>Capital One</td>\n",
       "      <td>Software Eng</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1467</th>\n",
       "      <td>140.000</td>\n",
       "      <td>107000.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>28000.0</td>\n",
       "      <td>2018-08-15 19:57:12</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>59</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>712</th>\n",
       "      <td>112.000</td>\n",
       "      <td>102200.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2018-05-23 08:29:33</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>61</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Vancouver, BC, Canada</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>You must be in the top 3-5% of employees in Ca...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>790</th>\n",
       "      <td>134.000</td>\n",
       "      <td>111000.0</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>18500.0</td>\n",
       "      <td>2018-06-03 09:53:01</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L4</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>483</th>\n",
       "      <td>145.000</td>\n",
       "      <td>129470.0</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>11600.0</td>\n",
       "      <td>2018-04-13 16:28:03</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>61</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>didn't count benefits (+24k) in total comp bec...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>155.000</td>\n",
       "      <td>117400.0</td>\n",
       "      <td>4200.0</td>\n",
       "      <td>14500.0</td>\n",
       "      <td>2017-08-06 12:23:42</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>60</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1547</th>\n",
       "      <td>135.000</td>\n",
       "      <td>119.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>12000.0</td>\n",
       "      <td>2018-08-18 14:43:15</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>60</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10296</th>\n",
       "      <td>169.000</td>\n",
       "      <td>165.0</td>\n",
       "      <td>3702.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-06-16 13:32:19</td>\n",
       "      <td>HashiCorp</td>\n",
       "      <td>L3</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Portland, OR</td>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1268</th>\n",
       "      <td>135.000</td>\n",
       "      <td>104000.0</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>18500.0</td>\n",
       "      <td>2018-08-04 11:47:02</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L4</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>65k of stocks at 5/15/40/40 vesting schedule p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1039</th>\n",
       "      <td>105.000</td>\n",
       "      <td>90000.0</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>2018-07-01 13:37:29</td>\n",
       "      <td>Intel</td>\n",
       "      <td>G5</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Sacramento, CA</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Firmware</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>664</th>\n",
       "      <td>133.000</td>\n",
       "      <td>104500.0</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>26000.0</td>\n",
       "      <td>2018-05-17 14:53:59</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L4</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Irvine, CA</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>626</th>\n",
       "      <td>251.000</td>\n",
       "      <td>160.0</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2018-05-12 21:17:22</td>\n",
       "      <td>LinkedIn</td>\n",
       "      <td>Senior</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>110.000</td>\n",
       "      <td>101000.0</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>2018-04-04 09:14:19</td>\n",
       "      <td>Intel</td>\n",
       "      <td>Grade 6</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Hillsboro, OR</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1524</th>\n",
       "      <td>131.000</td>\n",
       "      <td>119.0</td>\n",
       "      <td>2700.0</td>\n",
       "      <td>9300.0</td>\n",
       "      <td>2018-08-17 13:09:01</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>60</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>125.000</td>\n",
       "      <td>116000.0</td>\n",
       "      <td>2600.0</td>\n",
       "      <td>6800.0</td>\n",
       "      <td>2018-03-04 17:32:03</td>\n",
       "      <td>Capital One</td>\n",
       "      <td>Senior Associate</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Washington, DC</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>118.000</td>\n",
       "      <td>93000.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>2018-05-08 14:26:34</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L4</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Toronto, ON, Canada</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9041</th>\n",
       "      <td>2221.000</td>\n",
       "      <td>275.0</td>\n",
       "      <td>1867.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>2019-05-23 13:45:55</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>E7</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>8.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21423</th>\n",
       "      <td>2400.000</td>\n",
       "      <td>500.0</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2020-01-30 15:13:18</td>\n",
       "      <td>Doordash</td>\n",
       "      <td>E7</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>926</th>\n",
       "      <td>151.000</td>\n",
       "      <td>130000.0</td>\n",
       "      <td>1695.0</td>\n",
       "      <td>19500.0</td>\n",
       "      <td>2018-06-15 14:45:29</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L4</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>205.000</td>\n",
       "      <td>160.0</td>\n",
       "      <td>1600.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2018-04-10 20:00:46</td>\n",
       "      <td>Square</td>\n",
       "      <td>L5</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>pre-ipo stock grant not included in total comp</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1410</th>\n",
       "      <td>118.000</td>\n",
       "      <td>106500.0</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>10650.0</td>\n",
       "      <td>2018-08-14 17:04:44</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>l59</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12694</th>\n",
       "      <td>2500.000</td>\n",
       "      <td>350.0</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>2019-07-31 22:52:33</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>69</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>11.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28380</th>\n",
       "      <td>1800.000</td>\n",
       "      <td>300.0</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2020-05-11 21:51:56</td>\n",
       "      <td>Google</td>\n",
       "      <td>L8</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>15.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>Male</td>\n",
       "      <td>PhD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1470</th>\n",
       "      <td>614.000</td>\n",
       "      <td>220.0</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>2018-08-15 20:18:56</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>E6</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Menlo Park, CA</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>130.000</td>\n",
       "      <td>126000.0</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>2018-04-03 23:30:56</td>\n",
       "      <td>Hewlett Packard Enterprise</td>\n",
       "      <td>III</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Santa Clara, CA</td>\n",
       "      <td>4.5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8202</th>\n",
       "      <td>1750.000</td>\n",
       "      <td>200.0</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>2019-04-27 21:44:39</td>\n",
       "      <td>Google</td>\n",
       "      <td>Distinguished Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Mountain View, CA</td>\n",
       "      <td>22.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>Security</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>1500.000</td>\n",
       "      <td>300.0</td>\n",
       "      <td>1150.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>2018-01-27 07:29:30</td>\n",
       "      <td>Uber</td>\n",
       "      <td>L6</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>15.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>636</th>\n",
       "      <td>1400.000</td>\n",
       "      <td>250.0</td>\n",
       "      <td>1150.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-05-13 23:54:26</td>\n",
       "      <td>Snap</td>\n",
       "      <td>L7</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14822</th>\n",
       "      <td>1630.000</td>\n",
       "      <td>330.0</td>\n",
       "      <td>1150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>2019-09-15 09:55:05</td>\n",
       "      <td>Google</td>\n",
       "      <td>L8</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Mountain View, CA</td>\n",
       "      <td>16.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7029</th>\n",
       "      <td>1450.000</td>\n",
       "      <td>300.0</td>\n",
       "      <td>1085.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>2019-03-24 20:15:29</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>E8</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Menlo Park, CA</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10322</th>\n",
       "      <td>1400.000</td>\n",
       "      <td>280.0</td>\n",
       "      <td>1050.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>2019-06-16 15:31:13</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>E7</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Menlo Park, CA</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>600.000</td>\n",
       "      <td>215.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2017-10-19 01:31:35</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>E6</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Menlo Park, CA</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          raw_total_comp  raw_salary  raw_stock  raw_bonus  \\\n",
       "entry_id                                                     \n",
       "1485             240.000       156.0     9720.0       77.0   \n",
       "987              130.000    118000.0     9365.0    11000.0   \n",
       "159              155.000    129000.0     9000.0    17000.0   \n",
       "654              157.056    133956.0     9000.0    14100.0   \n",
       "633              193.000    155000.0     8000.0    30000.0   \n",
       "5861             116.000       108.0     8000.0        0.0   \n",
       "703              180.000    130000.0     8000.0    20000.0   \n",
       "1589             157.000    134000.0     8000.0    15000.0   \n",
       "1219             151.000    113000.0     7500.0    30000.0   \n",
       "32               212.000    150000.0     7500.0    55000.0   \n",
       "1232             135.000    106000.0     7500.0    10000.0   \n",
       "14081             84.000     75000.0     7500.0        0.0   \n",
       "553              135.000       120.0     7000.0     8000.0   \n",
       "1519             145.000       130.0     7000.0     6500.0   \n",
       "1138             182.000    155000.0     7000.0    20000.0   \n",
       "1495             154.000       140.0     6600.0     6400.0   \n",
       "7579             118.000       112.0     6250.0        0.0   \n",
       "335              109.000     93420.0     6250.0     9342.0   \n",
       "164              118.000    105000.0     6000.0     7000.0   \n",
       "1451             180.000       153.0     6000.0    16099.0   \n",
       "774              190.000    145000.0     5000.0    45000.0   \n",
       "1154             140.000    117500.0     5000.0    17625.0   \n",
       "363              145.000     12000.0     5000.0    20000.0   \n",
       "740              145.000    125000.0     5000.0    15000.0   \n",
       "1467             140.000    107000.0     5000.0    28000.0   \n",
       "712              112.000    102200.0     5000.0     5000.0   \n",
       "790              134.000    111000.0     4500.0    18500.0   \n",
       "483              145.000    129470.0     4500.0    11600.0   \n",
       "44               155.000    117400.0     4200.0    14500.0   \n",
       "1547             135.000       119.0     4000.0    12000.0   \n",
       "10296            169.000       165.0     3702.0        0.0   \n",
       "1268             135.000    104000.0     3000.0    18500.0   \n",
       "1039             105.000     90000.0     3000.0     7000.0   \n",
       "664              133.000    104500.0     3000.0    26000.0   \n",
       "626              251.000       160.0     3000.0       10.0   \n",
       "449              110.000    101000.0     3000.0     7000.0   \n",
       "1524             131.000       119.0     2700.0     9300.0   \n",
       "355              125.000    116000.0     2600.0     6800.0   \n",
       "592              118.000     93000.0     2000.0    22000.0   \n",
       "9041            2221.000       275.0     1867.0       79.0   \n",
       "21423           2400.000       500.0     1800.0      100.0   \n",
       "926              151.000    130000.0     1695.0    19500.0   \n",
       "468              205.000       160.0     1600.0       45.0   \n",
       "1410             118.000    106500.0     1500.0    10650.0   \n",
       "12694           2500.000       350.0     1500.0      650.0   \n",
       "28380           1800.000       300.0     1400.0      100.0   \n",
       "1470             614.000       220.0     1400.0       44.0   \n",
       "444              130.000    126000.0     1300.0     2000.0   \n",
       "8202            1750.000       200.0     1200.0      350.0   \n",
       "248             1500.000       300.0     1150.0       50.0   \n",
       "636             1400.000       250.0     1150.0        0.0   \n",
       "14822           1630.000       330.0     1150.0      150.0   \n",
       "7029            1450.000       300.0     1085.0       65.0   \n",
       "10322           1400.000       280.0     1050.0       70.0   \n",
       "124              600.000       215.0     1000.0       40.0   \n",
       "\n",
       "                    timestamp                     company  \\\n",
       "entry_id                                                    \n",
       "1485      2018-08-16 08:38:48                      Amazon   \n",
       "987       2018-06-25 17:28:00                      Intuit   \n",
       "159       2017-11-25 22:35:02                   Microsoft   \n",
       "654       2018-05-16 16:34:37                   Microsoft   \n",
       "633       2018-05-13 07:26:37                       Intel   \n",
       "5861      2019-02-13 12:28:11                      Oracle   \n",
       "703       2018-05-22 09:24:16                   Microsoft   \n",
       "1589      2018-08-21 10:13:59                   Microsoft   \n",
       "1219      2018-07-28 15:23:19                      Amazon   \n",
       "32        2017-07-25 11:01:33                      Amazon   \n",
       "1232      2018-07-29 23:22:30                   Microsoft   \n",
       "14081     2019-09-04 15:27:33                      Oracle   \n",
       "553       2018-04-28 18:56:36                       Intel   \n",
       "1519      2018-08-17 06:33:01                   Microsoft   \n",
       "1138      2018-07-17 07:27:18                   Microsoft   \n",
       "1495      2018-08-16 12:19:09                   Microsoft   \n",
       "7579      2019-04-09 17:53:06                     Pivotal   \n",
       "335       2018-02-25 18:00:15                        eBay   \n",
       "164       2017-11-30 05:35:08                   Microsoft   \n",
       "1451      2018-08-15 16:33:09                   Microsoft   \n",
       "774       2018-06-01 14:38:55                      Amazon   \n",
       "1154      2018-07-18 18:43:55                        Oath   \n",
       "363       2018-03-06 18:50:18                      Amazon   \n",
       "740       2018-05-28 16:42:13                 Capital One   \n",
       "1467      2018-08-15 19:57:12                   Microsoft   \n",
       "712       2018-05-23 08:29:33                   Microsoft   \n",
       "790       2018-06-03 09:53:01                      Amazon   \n",
       "483       2018-04-13 16:28:03                   Microsoft   \n",
       "44        2017-08-06 12:23:42                   Microsoft   \n",
       "1547      2018-08-18 14:43:15                   Microsoft   \n",
       "10296     2019-06-16 13:32:19                   HashiCorp   \n",
       "1268      2018-08-04 11:47:02                      Amazon   \n",
       "1039      2018-07-01 13:37:29                       Intel   \n",
       "664       2018-05-17 14:53:59                      Amazon   \n",
       "626       2018-05-12 21:17:22                    LinkedIn   \n",
       "449       2018-04-04 09:14:19                       Intel   \n",
       "1524      2018-08-17 13:09:01                   Microsoft   \n",
       "355       2018-03-04 17:32:03                 Capital One   \n",
       "592       2018-05-08 14:26:34                      Amazon   \n",
       "9041      2019-05-23 13:45:55                    Facebook   \n",
       "21423     2020-01-30 15:13:18                    Doordash   \n",
       "926       2018-06-15 14:45:29                      Amazon   \n",
       "468       2018-04-10 20:00:46                      Square   \n",
       "1410      2018-08-14 17:04:44                   Microsoft   \n",
       "12694     2019-07-31 22:52:33                   Microsoft   \n",
       "28380     2020-05-11 21:51:56                     Google    \n",
       "1470      2018-08-15 20:18:56                    Facebook   \n",
       "444       2018-04-03 23:30:56  Hewlett Packard Enterprise   \n",
       "8202      2019-04-27 21:44:39                      Google   \n",
       "248       2018-01-27 07:29:30                        Uber   \n",
       "636       2018-05-13 23:54:26                        Snap   \n",
       "14822     2019-09-15 09:55:05                      Google   \n",
       "7029      2019-03-24 20:15:29                    Facebook   \n",
       "10322     2019-06-16 15:31:13                    Facebook   \n",
       "124       2017-10-19 01:31:35                    Facebook   \n",
       "\n",
       "                           level              title               location  \\\n",
       "entry_id                                                                     \n",
       "1485                          L5  Software Engineer            Seattle, WA   \n",
       "987                            2  Software Engineer      San Francisco, CA   \n",
       "159                           61  Software Engineer            Redmond, WA   \n",
       "654                           61  Software Engineer            Seattle, WA   \n",
       "633                      Grade 8  Software Engineer        Santa Clara, CA   \n",
       "5861                        IC-2  Software Engineer           San Jose, CA   \n",
       "703                           61  Software Engineer            Seattle, WA   \n",
       "1589                          61  Software Engineer            Seattle, WA   \n",
       "1219                          L4  Software Engineer          Palo Alto, CA   \n",
       "32                        SDE II  Software Engineer            Seattle, WA   \n",
       "1232                          58  Software Engineer            Redmond, WA   \n",
       "14081                       IC-3  Software Engineer  Kitchener, ON, Canada   \n",
       "553                      grade 6  Software Engineer        Santa Clara, CA   \n",
       "1519                          61  Software Engineer            Redmond, WA   \n",
       "1138                         L64  Software Engineer            Seattle, WA   \n",
       "1495                          62  Software Engineer            Redmond, WA   \n",
       "7579                          P2  Software Engineer            Seattle, WA   \n",
       "335                         SE 2  Software Engineer           Portland, OR   \n",
       "164                           62  Software Engineer    Dublin, DN, Ireland   \n",
       "1451                          62  Software Engineer            Redmond, WA   \n",
       "774                           L5  Software Engineer           Bellevue, WA   \n",
       "1154                         IC3  Software Engineer      San Francisco, CA   \n",
       "363                           L4  Software Engineer            Seattle, WA   \n",
       "740                 Software Eng  Software Engineer      San Francisco, CA   \n",
       "1467                          59  Software Engineer            Redmond, WA   \n",
       "712                           61  Software Engineer  Vancouver, BC, Canada   \n",
       "790                           L4  Software Engineer            Seattle, WA   \n",
       "483                           61  Software Engineer            Redmond, WA   \n",
       "44                            60  Software Engineer            Redmond, WA   \n",
       "1547                          60  Software Engineer            Redmond, WA   \n",
       "10296                         L3  Software Engineer           Portland, OR   \n",
       "1268                          L4  Software Engineer            Seattle, WA   \n",
       "1039                          G5  Software Engineer         Sacramento, CA   \n",
       "664                           L4  Software Engineer             Irvine, CA   \n",
       "626                       Senior  Software Engineer      San Francisco, CA   \n",
       "449                      Grade 6  Software Engineer          Hillsboro, OR   \n",
       "1524                          60  Software Engineer            Redmond, WA   \n",
       "355             Senior Associate  Software Engineer         Washington, DC   \n",
       "592                           L4  Software Engineer    Toronto, ON, Canada   \n",
       "9041                          E7  Software Engineer           New York, NY   \n",
       "21423                         E7  Software Engineer            Seattle, WA   \n",
       "926                           L4  Software Engineer            Seattle, WA   \n",
       "468                           L5  Software Engineer      San Francisco, CA   \n",
       "1410                         l59  Software Engineer            Redmond, WA   \n",
       "12694                         69  Software Engineer            Redmond, WA   \n",
       "28380                         L8  Software Engineer            Seattle, WA   \n",
       "1470                          E6  Software Engineer         Menlo Park, CA   \n",
       "444                          III  Software Engineer        Santa Clara, CA   \n",
       "8202      Distinguished Engineer  Software Engineer      Mountain View, CA   \n",
       "248                           L6  Software Engineer      San Francisco, CA   \n",
       "636                           L7  Software Engineer      San Francisco, CA   \n",
       "14822                         L8  Software Engineer      Mountain View, CA   \n",
       "7029                          E8  Software Engineer         Menlo Park, CA   \n",
       "10322                         E7  Software Engineer         Menlo Park, CA   \n",
       "124                           E6  Software Engineer         Menlo Park, CA   \n",
       "\n",
       "          years_experience  years_company                             tag  \\\n",
       "entry_id                                                                    \n",
       "1485                   2.0            0.0      API Development (Back-End)   \n",
       "987                    3.0            2.0     Web Development (Front-End)   \n",
       "159                    3.0            3.0                             NaN   \n",
       "654                    4.0            4.0                             NaN   \n",
       "633                    4.0            1.0                             NaN   \n",
       "5861                   3.0            3.0                      Full Stack   \n",
       "703                    3.0            3.0                             NaN   \n",
       "1589                   3.0            3.0                        Firmware   \n",
       "1219                   1.0            1.0                      Full Stack   \n",
       "32                     2.0            0.0                             NaN   \n",
       "1232                   1.0            1.0                      Full Stack   \n",
       "14081                 12.0            1.0                      Full Stack   \n",
       "553                    2.0            2.0                             NaN   \n",
       "1519                   3.0            0.5                            Data   \n",
       "1138                  10.0            8.0                      Full Stack   \n",
       "1495                  12.0            9.0      API Development (Back-End)   \n",
       "7579                   2.0            2.0                      Full Stack   \n",
       "335                    1.0            1.0                             NaN   \n",
       "164                   15.0            4.0                             NaN   \n",
       "1451                   4.0            4.0                             Sql   \n",
       "774                    5.0            0.0                             NaN   \n",
       "1154                   7.0            3.0                Data Engineering   \n",
       "363                    3.0            0.6                             NaN   \n",
       "740                    2.0            2.0                             NaN   \n",
       "1467                   0.0            0.0  Distributed Systems (Back-End)   \n",
       "712                    7.0            2.0                             NaN   \n",
       "790                    1.0            1.0                             NaN   \n",
       "483                    7.0            2.8                             NaN   \n",
       "44                     3.0            2.0                             NaN   \n",
       "1547                   1.0            1.0      API Development (Back-End)   \n",
       "10296                 13.0            1.0      API Development (Back-End)   \n",
       "1268                   1.0            0.0      API Development (Back-End)   \n",
       "1039                   2.0            2.0                        Firmware   \n",
       "664                    0.8            0.8                             NaN   \n",
       "626                    5.0            1.0                             NaN   \n",
       "449                    3.0            3.0                             NaN   \n",
       "1524                   2.0            2.0                      Full Stack   \n",
       "355                    2.0            2.0                             NaN   \n",
       "592                    1.0            1.0                             NaN   \n",
       "9041                   8.0            6.0                      Full Stack   \n",
       "21423                 20.0            2.0                         ML / AI   \n",
       "926                    1.0            0.0                             NaN   \n",
       "468                    6.0            3.0                             NaN   \n",
       "1410                   0.0            0.0  Distributed Systems (Back-End)   \n",
       "12694                 11.0           11.0                         ML / AI   \n",
       "28380                 15.0           10.0                         ML / AI   \n",
       "1470                  12.0            1.0                         ML / AI   \n",
       "444                    4.5            2.0                             NaN   \n",
       "8202                  22.0           18.0                        Security   \n",
       "248                   15.0            3.0                             NaN   \n",
       "636                   11.0            2.0                             NaN   \n",
       "14822                 16.0           12.0                         ML / AI   \n",
       "7029                   7.0            5.0                         ML / AI   \n",
       "10322                 25.0            5.0  Distributed Systems (Back-End)   \n",
       "124                   10.0            1.0                             NaN   \n",
       "\n",
       "          gender                                       otherdetails  \n",
       "entry_id                                                             \n",
       "1485         NaN                                                NaN  \n",
       "987       Female                                                NaN  \n",
       "159          NaN                                                NaN  \n",
       "654         Male                                                NaN  \n",
       "633       Female                                                NaN  \n",
       "5861        Male                                                NaN  \n",
       "703         Male                                                NaN  \n",
       "1589         NaN                                                NaN  \n",
       "1219        Male                                                NaN  \n",
       "32           NaN                                                NaN  \n",
       "1232      Female                                                NaN  \n",
       "14081     Female                                                NaN  \n",
       "553         Male                                                NaN  \n",
       "1519         NaN                                                NaN  \n",
       "1138        Male                                                NaN  \n",
       "1495         NaN                                                NaN  \n",
       "7579      Female                                                NaN  \n",
       "335          NaN                                                NaN  \n",
       "164          NaN                                                NaN  \n",
       "1451         NaN                                                NaN  \n",
       "774         Male                                                NaN  \n",
       "1154        Male                                                NaN  \n",
       "363          NaN                                                NaN  \n",
       "740         Male                                                NaN  \n",
       "1467         NaN                                                NaN  \n",
       "712         Male  You must be in the top 3-5% of employees in Ca...  \n",
       "790         Male                                                NaN  \n",
       "483         Male  didn't count benefits (+24k) in total comp bec...  \n",
       "44           NaN                                                NaN  \n",
       "1547         NaN                                                NaN  \n",
       "10296     Female                                                NaN  \n",
       "1268        Male  65k of stocks at 5/15/40/40 vesting schedule p...  \n",
       "1039        Male                                                NaN  \n",
       "664         Male                                                NaN  \n",
       "626         Male                                                NaN  \n",
       "449          NaN                                                NaN  \n",
       "1524         NaN                                                NaN  \n",
       "355          NaN                                                NaN  \n",
       "592         Male                                                NaN  \n",
       "9041        Male                                                NaN  \n",
       "21423        NaN                                                NaN  \n",
       "926         Male                                                NaN  \n",
       "468          NaN     pre-ipo stock grant not included in total comp  \n",
       "1410         NaN                                                NaN  \n",
       "12694     Female                                                NaN  \n",
       "28380       Male                                                PhD  \n",
       "1470         NaN                                                NaN  \n",
       "444          NaN                                                NaN  \n",
       "8202        Male                                                NaN  \n",
       "248          NaN                                                NaN  \n",
       "636         Male                                                NaN  \n",
       "14822       Male                                                NaN  \n",
       "7029        Male                                                NaN  \n",
       "10322       Male                                                NaN  \n",
       "124          NaN                                                NaN  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# OUTPUT IMPLICATION\n",
    "# Stock CAN be scaled down for all values above 1,250 (See entry 444)\n",
    "# Some stock inputs are inconsistent with salary or bonus scaling choice\n",
    "comp_swe[(comp_swe.raw_stock > 999) & (comp_swe.raw_stock < 1e4)].sort_values(by='raw_stock', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>raw_total_comp</th>\n",
       "      <th>raw_salary</th>\n",
       "      <th>raw_stock</th>\n",
       "      <th>raw_bonus</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>company</th>\n",
       "      <th>level</th>\n",
       "      <th>title</th>\n",
       "      <th>location</th>\n",
       "      <th>years_experience</th>\n",
       "      <th>years_company</th>\n",
       "      <th>tag</th>\n",
       "      <th>gender</th>\n",
       "      <th>otherdetails</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>entry_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>720</th>\n",
       "      <td>129.0</td>\n",
       "      <td>95000.0</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>9500.0</td>\n",
       "      <td>2018-05-24 11:25:11</td>\n",
       "      <td>Intuit</td>\n",
       "      <td>SE1</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>109.0</td>\n",
       "      <td>93420.0</td>\n",
       "      <td>6250.0</td>\n",
       "      <td>9342.0</td>\n",
       "      <td>2018-02-25 18:00:15</td>\n",
       "      <td>eBay</td>\n",
       "      <td>SE 2</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Portland, OR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1524</th>\n",
       "      <td>131.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>2700.0</td>\n",
       "      <td>9300.0</td>\n",
       "      <td>2018-08-17 13:09:01</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>60</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>71.0</td>\n",
       "      <td>62000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9300.0</td>\n",
       "      <td>2018-04-11 08:16:35</td>\n",
       "      <td>USAA</td>\n",
       "      <td>New Grad</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Antonio, TX</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>578.0</td>\n",
       "      <td>180000.0</td>\n",
       "      <td>1550000.0</td>\n",
       "      <td>9000.0</td>\n",
       "      <td>2017-06-13 05:35:36</td>\n",
       "      <td>Uber</td>\n",
       "      <td>Senior</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stock based on $48.65 per share.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14272</th>\n",
       "      <td>72.0</td>\n",
       "      <td>63000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9000.0</td>\n",
       "      <td>2019-09-08 16:30:34</td>\n",
       "      <td>USAA</td>\n",
       "      <td>Software Engineer III</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Antonio, TX</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>Male</td>\n",
       "      <td>Java, Javascript</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13143</th>\n",
       "      <td>88.0</td>\n",
       "      <td>79200.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8500.0</td>\n",
       "      <td>2019-08-14 15:42:30</td>\n",
       "      <td>General Motors</td>\n",
       "      <td>L5</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Detroit, MI</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>505</th>\n",
       "      <td>240.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>8500.0</td>\n",
       "      <td>2018-04-18 19:03:22</td>\n",
       "      <td>Adobe</td>\n",
       "      <td>L4/Computer Scientist II</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1169</th>\n",
       "      <td>145.0</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>27000.0</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>2018-07-20 12:01:00</td>\n",
       "      <td>Qualcomm</td>\n",
       "      <td>senior</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Diego, CA</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>553</th>\n",
       "      <td>135.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>2018-04-28 18:56:36</td>\n",
       "      <td>Intel</td>\n",
       "      <td>grade 6</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Santa Clara, CA</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>779</th>\n",
       "      <td>135.0</td>\n",
       "      <td>124000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>2018-06-01 23:55:24</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>61</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>115.0</td>\n",
       "      <td>106000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>2017-10-11 14:27:22</td>\n",
       "      <td>Dell</td>\n",
       "      <td>L8</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Round Rock, TX</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7845</th>\n",
       "      <td>138.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>2019-04-16 11:24:49</td>\n",
       "      <td>GE Digital</td>\n",
       "      <td>Senior SWE</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Chicago, IL</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>965</th>\n",
       "      <td>106.0</td>\n",
       "      <td>98900.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>2018-06-21 10:22:44</td>\n",
       "      <td>Ancestry</td>\n",
       "      <td>Staff</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Lehi, UT</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8805</th>\n",
       "      <td>163.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>2019-05-17 16:12:29</td>\n",
       "      <td>Evernote</td>\n",
       "      <td>Mid Senior</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redwood City, CA</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9114</th>\n",
       "      <td>125.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>2019-05-24 19:40:10</td>\n",
       "      <td>Capital One</td>\n",
       "      <td>Senior Associate</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9907</th>\n",
       "      <td>156.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>2019-06-15 11:28:09</td>\n",
       "      <td>Capital One</td>\n",
       "      <td>Principal Associate</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Mc Lean, VA</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>875</th>\n",
       "      <td>119.0</td>\n",
       "      <td>78680.0</td>\n",
       "      <td>13750.0</td>\n",
       "      <td>7868.0</td>\n",
       "      <td>2018-06-11 03:15:12</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>E4</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Singapore, SG, Singapore</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>877</th>\n",
       "      <td>65.0</td>\n",
       "      <td>47460.0</td>\n",
       "      <td>18375.0</td>\n",
       "      <td>7415.0</td>\n",
       "      <td>2018-06-11 03:19:53</td>\n",
       "      <td>Apple</td>\n",
       "      <td>ICT3</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Hyderabad, TS, India</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>156.0</td>\n",
       "      <td>126200.0</td>\n",
       "      <td>26500.0</td>\n",
       "      <td>7200.0</td>\n",
       "      <td>2017-08-01 12:55:06</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>61</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>118.0</td>\n",
       "      <td>105000.0</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>2017-11-30 05:35:08</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>62</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Dublin, DN, Ireland</td>\n",
       "      <td>15.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6919</th>\n",
       "      <td>110.0</td>\n",
       "      <td>103000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>2019-03-21 16:35:32</td>\n",
       "      <td>SAP</td>\n",
       "      <td>T2</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Ramon, CA</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10794</th>\n",
       "      <td>132.0</td>\n",
       "      <td>125000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>2019-06-20 10:02:27</td>\n",
       "      <td>Cisco</td>\n",
       "      <td>Software Engineer 2</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Jose, CA</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>110.0</td>\n",
       "      <td>101000.0</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>2018-04-04 09:14:19</td>\n",
       "      <td>Intel</td>\n",
       "      <td>Grade 6</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Hillsboro, OR</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1039</th>\n",
       "      <td>105.0</td>\n",
       "      <td>90000.0</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>2018-07-01 13:37:29</td>\n",
       "      <td>Intel</td>\n",
       "      <td>G5</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Sacramento, CA</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Firmware</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>125.0</td>\n",
       "      <td>116000.0</td>\n",
       "      <td>2600.0</td>\n",
       "      <td>6800.0</td>\n",
       "      <td>2018-03-04 17:32:03</td>\n",
       "      <td>Capital One</td>\n",
       "      <td>Senior Associate</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Washington, DC</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14047</th>\n",
       "      <td>72.0</td>\n",
       "      <td>65000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6500.0</td>\n",
       "      <td>2019-09-03 19:16:52</td>\n",
       "      <td>Verizon</td>\n",
       "      <td>MTS I</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Atlanta, GA</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DevOps</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1519</th>\n",
       "      <td>145.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>6500.0</td>\n",
       "      <td>2018-08-17 06:33:01</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>61</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>Data</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1495</th>\n",
       "      <td>154.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>6600.0</td>\n",
       "      <td>6400.0</td>\n",
       "      <td>2018-08-16 12:19:09</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>62</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>12.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1726</th>\n",
       "      <td>132.0</td>\n",
       "      <td>108000.0</td>\n",
       "      <td>17500.0</td>\n",
       "      <td>6250.0</td>\n",
       "      <td>2018-08-28 00:25:49</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>59</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6735</th>\n",
       "      <td>128.0</td>\n",
       "      <td>121900.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6100.0</td>\n",
       "      <td>2019-03-15 02:04:56</td>\n",
       "      <td>Dell</td>\n",
       "      <td>L3</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Santa Clara, CA</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1144</th>\n",
       "      <td>185.0</td>\n",
       "      <td>119400.0</td>\n",
       "      <td>60000.0</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>2018-07-17 18:49:26</td>\n",
       "      <td>Dropbox</td>\n",
       "      <td>L1</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>783</th>\n",
       "      <td>40.0</td>\n",
       "      <td>34300.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5700.0</td>\n",
       "      <td>2018-06-02 09:51:31</td>\n",
       "      <td>Yandex</td>\n",
       "      <td>G16</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Moscow, MC, Russia</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>771</th>\n",
       "      <td>118.0</td>\n",
       "      <td>95000.0</td>\n",
       "      <td>18000.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2018-06-01 08:45:12</td>\n",
       "      <td>F5 Networks</td>\n",
       "      <td>L2</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>488</th>\n",
       "      <td>130.0</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>60000.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2018-04-15 08:12:48</td>\n",
       "      <td>Workday</td>\n",
       "      <td>P2</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Pleasanton, CA</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>Stock grand 60k on signing + 40k after a year....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>712</th>\n",
       "      <td>112.0</td>\n",
       "      <td>102200.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2018-05-23 08:29:33</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>61</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Vancouver, BC, Canada</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>You must be in the top 3-5% of employees in Ca...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>733</th>\n",
       "      <td>78.0</td>\n",
       "      <td>25000.0</td>\n",
       "      <td>48000.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2018-05-26 07:04:00</td>\n",
       "      <td>Yandex</td>\n",
       "      <td>17</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Ekaterinburg, SV, Russia</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>792</th>\n",
       "      <td>120.0</td>\n",
       "      <td>115000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2018-06-03 14:54:39</td>\n",
       "      <td>IBM</td>\n",
       "      <td>Staff Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Cambridge, EN, United Kingdom</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1883</th>\n",
       "      <td>115.0</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2018-09-06 20:26:44</td>\n",
       "      <td>Epic Systems</td>\n",
       "      <td>Software Developer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Madison, WI</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>150.0</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2018-01-15 20:40:01</td>\n",
       "      <td>Credit Karma</td>\n",
       "      <td>SWE1</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>110.0</td>\n",
       "      <td>75000.0</td>\n",
       "      <td>30000.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2018-03-11 12:32:21</td>\n",
       "      <td>Workday</td>\n",
       "      <td>SDE III</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Dublin, DN, Ireland</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>778</th>\n",
       "      <td>80.0</td>\n",
       "      <td>80000.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>2018-06-01 23:07:26</td>\n",
       "      <td>eBay</td>\n",
       "      <td>SE1</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Salt Lake City, UT</td>\n",
       "      <td>1.5</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3518</th>\n",
       "      <td>38.0</td>\n",
       "      <td>34000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4200.0</td>\n",
       "      <td>2018-11-01 05:43:40</td>\n",
       "      <td>Goldman Sachs</td>\n",
       "      <td>Associate</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Bangalore, KA, India</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Exchange rate of 72 is used</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4959</th>\n",
       "      <td>36.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>2019-01-10 05:08:40</td>\n",
       "      <td>Yandex</td>\n",
       "      <td>G15</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Moscow, MC, Russia</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>python backend</td>\n",
       "      <td>Male</td>\n",
       "      <td>net salary</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>508</th>\n",
       "      <td>179.0</td>\n",
       "      <td>131500.0</td>\n",
       "      <td>43500.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>2018-04-18 23:11:36</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L4</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13684</th>\n",
       "      <td>72.0</td>\n",
       "      <td>68000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>2019-08-26 02:09:18</td>\n",
       "      <td>Bloomberg</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>London, EN, United Kingdom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>Female</td>\n",
       "      <td>Graduate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13760</th>\n",
       "      <td>125.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>2019-08-27 19:01:05</td>\n",
       "      <td>IBM</td>\n",
       "      <td>7</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Littleton, MA</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Security</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1189</th>\n",
       "      <td>311.0</td>\n",
       "      <td>147000.0</td>\n",
       "      <td>161000.0</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>2018-07-23 20:53:04</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L5</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1266</th>\n",
       "      <td>150.0</td>\n",
       "      <td>147800.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2200.0</td>\n",
       "      <td>2018-08-04 01:54:09</td>\n",
       "      <td>IBM</td>\n",
       "      <td>8</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Yorktown Heights, NY</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>130.0</td>\n",
       "      <td>126000.0</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>2018-04-03 23:30:56</td>\n",
       "      <td>Hewlett Packard Enterprise</td>\n",
       "      <td>III</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Santa Clara, CA</td>\n",
       "      <td>4.5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6748</th>\n",
       "      <td>138.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>2019-03-15 13:57:25</td>\n",
       "      <td>IBM</td>\n",
       "      <td>7</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Jose, CA</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12650</th>\n",
       "      <td>82.0</td>\n",
       "      <td>80500.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>2019-07-31 11:10:35</td>\n",
       "      <td>Accenture</td>\n",
       "      <td>Team Leader</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Chicago, IL</td>\n",
       "      <td>12.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1201</th>\n",
       "      <td>125.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2018-07-25 12:32:36</td>\n",
       "      <td>IBM</td>\n",
       "      <td>Band 8</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Austin, TX</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Web Development (Front-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>.8 (80%) PMR Ratio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>85.0</td>\n",
       "      <td>85000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2018-06-26 16:37:38</td>\n",
       "      <td>IBM</td>\n",
       "      <td>6</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Toronto, ON, Canada</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>Free mobile, Free Subway Pass, Very good resou...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13778</th>\n",
       "      <td>75.0</td>\n",
       "      <td>7111.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>889.0</td>\n",
       "      <td>2019-08-28 00:15:04</td>\n",
       "      <td>Rakuten</td>\n",
       "      <td>A</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Tokyo, TY, Japan</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11377</th>\n",
       "      <td>1800.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>2019-07-02 15:05:10</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>E8</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Menlo Park, CA</td>\n",
       "      <td>31.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>Security</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12694</th>\n",
       "      <td>2500.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>2019-07-31 22:52:33</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>69</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>11.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10662</th>\n",
       "      <td>1030.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>630.0</td>\n",
       "      <td>2019-06-18 17:00:28</td>\n",
       "      <td>Jane Street Capital</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12829</th>\n",
       "      <td>720.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>2019-08-05 11:16:26</td>\n",
       "      <td>Argo AI</td>\n",
       "      <td>5</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Princeton, NJ</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>Male</td>\n",
       "      <td>non-tradable stock</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          raw_total_comp  raw_salary  raw_stock  raw_bonus  \\\n",
       "entry_id                                                     \n",
       "720                129.0     95000.0    20000.0     9500.0   \n",
       "335                109.0     93420.0     6250.0     9342.0   \n",
       "1524               131.0       119.0     2700.0     9300.0   \n",
       "471                 71.0     62000.0        0.0     9300.0   \n",
       "4                  578.0    180000.0  1550000.0     9000.0   \n",
       "14272               72.0     63000.0        0.0     9000.0   \n",
       "13143               88.0     79200.0        0.0     8500.0   \n",
       "505                240.0       158.0       70.0     8500.0   \n",
       "1169               145.0    110000.0    27000.0     8000.0   \n",
       "553                135.0       120.0     7000.0     8000.0   \n",
       "779                135.0    124000.0        0.0     8000.0   \n",
       "117                115.0    106000.0        0.0     8000.0   \n",
       "7845               138.0       129.0        0.0     8000.0   \n",
       "965                106.0     98900.0        0.0     8000.0   \n",
       "8805               163.0       155.0        0.0     8000.0   \n",
       "9114               125.0       117.0        0.0     8000.0   \n",
       "9907               156.0       148.0        0.0     8000.0   \n",
       "875                119.0     78680.0    13750.0     7868.0   \n",
       "877                 65.0     47460.0    18375.0     7415.0   \n",
       "40                 156.0    126200.0    26500.0     7200.0   \n",
       "164                118.0    105000.0     6000.0     7000.0   \n",
       "6919               110.0    103000.0        0.0     7000.0   \n",
       "10794              132.0    125000.0        0.0     7000.0   \n",
       "449                110.0    101000.0     3000.0     7000.0   \n",
       "1039               105.0     90000.0     3000.0     7000.0   \n",
       "355                125.0    116000.0     2600.0     6800.0   \n",
       "14047               72.0     65000.0        0.0     6500.0   \n",
       "1519               145.0       130.0     7000.0     6500.0   \n",
       "1495               154.0       140.0     6600.0     6400.0   \n",
       "1726               132.0    108000.0    17500.0     6250.0   \n",
       "6735               128.0    121900.0        0.0     6100.0   \n",
       "1144               185.0    119400.0    60000.0     6000.0   \n",
       "783                 40.0     34300.0        0.0     5700.0   \n",
       "771                118.0     95000.0    18000.0     5000.0   \n",
       "488                130.0    110000.0    60000.0     5000.0   \n",
       "712                112.0    102200.0     5000.0     5000.0   \n",
       "733                 78.0     25000.0    48000.0     5000.0   \n",
       "792                120.0    115000.0        0.0     5000.0   \n",
       "1883               115.0    110000.0        0.0     5000.0   \n",
       "227                150.0    110000.0   100000.0     5000.0   \n",
       "384                110.0     75000.0    30000.0     5000.0   \n",
       "778                 80.0     80000.0        1.0     4500.0   \n",
       "3518                38.0     34000.0        0.0     4200.0   \n",
       "4959                36.0        32.0        0.0     4000.0   \n",
       "508                179.0    131500.0    43500.0     4000.0   \n",
       "13684               72.0     68000.0        0.0     4000.0   \n",
       "13760              125.0       120.0        0.0     3000.0   \n",
       "1189               311.0    147000.0   161000.0     3000.0   \n",
       "1266               150.0    147800.0        0.0     2200.0   \n",
       "444                130.0    126000.0     1300.0     2000.0   \n",
       "6748               138.0       136.0        0.0     2000.0   \n",
       "12650               82.0     80500.0        0.0     1500.0   \n",
       "1201               125.0       125.0        0.0     1000.0   \n",
       "995                 85.0     85000.0        0.0     1000.0   \n",
       "13778               75.0      7111.0        0.0      889.0   \n",
       "11377             1800.0       350.0      700.0      750.0   \n",
       "12694             2500.0       350.0     1500.0      650.0   \n",
       "10662             1030.0       400.0        0.0      630.0   \n",
       "12829              720.0       200.0       20.0      500.0   \n",
       "\n",
       "                    timestamp                     company  \\\n",
       "entry_id                                                    \n",
       "720       2018-05-24 11:25:11                      Intuit   \n",
       "335       2018-02-25 18:00:15                        eBay   \n",
       "1524      2018-08-17 13:09:01                   Microsoft   \n",
       "471       2018-04-11 08:16:35                        USAA   \n",
       "4         2017-06-13 05:35:36                        Uber   \n",
       "14272     2019-09-08 16:30:34                        USAA   \n",
       "13143     2019-08-14 15:42:30              General Motors   \n",
       "505       2018-04-18 19:03:22                       Adobe   \n",
       "1169      2018-07-20 12:01:00                    Qualcomm   \n",
       "553       2018-04-28 18:56:36                       Intel   \n",
       "779       2018-06-01 23:55:24                   Microsoft   \n",
       "117       2017-10-11 14:27:22                        Dell   \n",
       "7845      2019-04-16 11:24:49                  GE Digital   \n",
       "965       2018-06-21 10:22:44                    Ancestry   \n",
       "8805      2019-05-17 16:12:29                    Evernote   \n",
       "9114      2019-05-24 19:40:10                 Capital One   \n",
       "9907      2019-06-15 11:28:09                 Capital One   \n",
       "875       2018-06-11 03:15:12                    Facebook   \n",
       "877       2018-06-11 03:19:53                       Apple   \n",
       "40        2017-08-01 12:55:06                   Microsoft   \n",
       "164       2017-11-30 05:35:08                   Microsoft   \n",
       "6919      2019-03-21 16:35:32                         SAP   \n",
       "10794     2019-06-20 10:02:27                       Cisco   \n",
       "449       2018-04-04 09:14:19                       Intel   \n",
       "1039      2018-07-01 13:37:29                       Intel   \n",
       "355       2018-03-04 17:32:03                 Capital One   \n",
       "14047     2019-09-03 19:16:52                     Verizon   \n",
       "1519      2018-08-17 06:33:01                   Microsoft   \n",
       "1495      2018-08-16 12:19:09                   Microsoft   \n",
       "1726      2018-08-28 00:25:49                   Microsoft   \n",
       "6735      2019-03-15 02:04:56                        Dell   \n",
       "1144      2018-07-17 18:49:26                     Dropbox   \n",
       "783       2018-06-02 09:51:31                      Yandex   \n",
       "771       2018-06-01 08:45:12                 F5 Networks   \n",
       "488       2018-04-15 08:12:48                     Workday   \n",
       "712       2018-05-23 08:29:33                   Microsoft   \n",
       "733       2018-05-26 07:04:00                      Yandex   \n",
       "792       2018-06-03 14:54:39                         IBM   \n",
       "1883      2018-09-06 20:26:44                Epic Systems   \n",
       "227       2018-01-15 20:40:01                Credit Karma   \n",
       "384       2018-03-11 12:32:21                     Workday   \n",
       "778       2018-06-01 23:07:26                        eBay   \n",
       "3518      2018-11-01 05:43:40               Goldman Sachs   \n",
       "4959      2019-01-10 05:08:40                      Yandex   \n",
       "508       2018-04-18 23:11:36                      Amazon   \n",
       "13684     2019-08-26 02:09:18                  Bloomberg    \n",
       "13760     2019-08-27 19:01:05                         IBM   \n",
       "1189      2018-07-23 20:53:04                      Amazon   \n",
       "1266      2018-08-04 01:54:09                         IBM   \n",
       "444       2018-04-03 23:30:56  Hewlett Packard Enterprise   \n",
       "6748      2019-03-15 13:57:25                         IBM   \n",
       "12650     2019-07-31 11:10:35                   Accenture   \n",
       "1201      2018-07-25 12:32:36                         IBM   \n",
       "995       2018-06-26 16:37:38                         IBM   \n",
       "13778     2019-08-28 00:15:04                     Rakuten   \n",
       "11377     2019-07-02 15:05:10                    Facebook   \n",
       "12694     2019-07-31 22:52:33                   Microsoft   \n",
       "10662     2019-06-18 17:00:28         Jane Street Capital   \n",
       "12829     2019-08-05 11:16:26                     Argo AI   \n",
       "\n",
       "                             level              title  \\\n",
       "entry_id                                                \n",
       "720                            SE1  Software Engineer   \n",
       "335                           SE 2  Software Engineer   \n",
       "1524                            60  Software Engineer   \n",
       "471                       New Grad  Software Engineer   \n",
       "4                           Senior  Software Engineer   \n",
       "14272        Software Engineer III  Software Engineer   \n",
       "13143                           L5  Software Engineer   \n",
       "505       L4/Computer Scientist II  Software Engineer   \n",
       "1169                        senior  Software Engineer   \n",
       "553                        grade 6  Software Engineer   \n",
       "779                             61  Software Engineer   \n",
       "117                             L8  Software Engineer   \n",
       "7845                    Senior SWE  Software Engineer   \n",
       "965                          Staff  Software Engineer   \n",
       "8805                    Mid Senior  Software Engineer   \n",
       "9114              Senior Associate  Software Engineer   \n",
       "9907           Principal Associate  Software Engineer   \n",
       "875                             E4  Software Engineer   \n",
       "877                           ICT3  Software Engineer   \n",
       "40                              61  Software Engineer   \n",
       "164                             62  Software Engineer   \n",
       "6919                            T2  Software Engineer   \n",
       "10794          Software Engineer 2  Software Engineer   \n",
       "449                        Grade 6  Software Engineer   \n",
       "1039                            G5  Software Engineer   \n",
       "355               Senior Associate  Software Engineer   \n",
       "14047                        MTS I  Software Engineer   \n",
       "1519                            61  Software Engineer   \n",
       "1495                            62  Software Engineer   \n",
       "1726                            59  Software Engineer   \n",
       "6735                            L3  Software Engineer   \n",
       "1144                            L1  Software Engineer   \n",
       "783                            G16  Software Engineer   \n",
       "771                             L2  Software Engineer   \n",
       "488                             P2  Software Engineer   \n",
       "712                             61  Software Engineer   \n",
       "733                             17  Software Engineer   \n",
       "792                 Staff Engineer  Software Engineer   \n",
       "1883            Software Developer  Software Engineer   \n",
       "227                           SWE1  Software Engineer   \n",
       "384                        SDE III  Software Engineer   \n",
       "778                            SE1  Software Engineer   \n",
       "3518                     Associate  Software Engineer   \n",
       "4959                           G15  Software Engineer   \n",
       "508                             L4  Software Engineer   \n",
       "13684            Software Engineer  Software Engineer   \n",
       "13760                            7  Software Engineer   \n",
       "1189                            L5  Software Engineer   \n",
       "1266                             8  Software Engineer   \n",
       "444                            III  Software Engineer   \n",
       "6748                             7  Software Engineer   \n",
       "12650                  Team Leader  Software Engineer   \n",
       "1201                        Band 8  Software Engineer   \n",
       "995                              6  Software Engineer   \n",
       "13778                            A  Software Engineer   \n",
       "11377                           E8  Software Engineer   \n",
       "12694                           69  Software Engineer   \n",
       "10662            Software Engineer  Software Engineer   \n",
       "12829                            5  Software Engineer   \n",
       "\n",
       "                               location  years_experience  years_company  \\\n",
       "entry_id                                                                   \n",
       "720                   San Francisco, CA               0.0            1.0   \n",
       "335                        Portland, OR               1.0            1.0   \n",
       "1524                        Redmond, WA               2.0            2.0   \n",
       "471                     San Antonio, TX               0.0            0.0   \n",
       "4                     San Francisco, CA              10.0            2.0   \n",
       "14272                   San Antonio, TX               0.0            0.0   \n",
       "13143                       Detroit, MI               3.0            2.0   \n",
       "505                        New York, NY               7.0            1.0   \n",
       "1169                      San Diego, CA               4.0            4.0   \n",
       "553                     Santa Clara, CA               2.0            2.0   \n",
       "779                         Redmond, WA               6.0            2.5   \n",
       "117                      Round Rock, TX              10.0            2.0   \n",
       "7845                        Chicago, IL              10.0            1.0   \n",
       "965                            Lehi, UT               3.0            3.0   \n",
       "8805                   Redwood City, CA               2.0            0.0   \n",
       "9114                        Seattle, WA               2.0            2.0   \n",
       "9907                        Mc Lean, VA              16.0            2.0   \n",
       "875            Singapore, SG, Singapore               9.0            0.0   \n",
       "877                Hyderabad, TS, India               9.0            0.0   \n",
       "40                          Redmond, WA               5.0            2.0   \n",
       "164                 Dublin, DN, Ireland              15.0            4.0   \n",
       "6919                      San Ramon, CA               0.0            2.0   \n",
       "10794                      San Jose, CA               3.0            1.5   \n",
       "449                       Hillsboro, OR               3.0            3.0   \n",
       "1039                     Sacramento, CA               2.0            2.0   \n",
       "355                      Washington, DC               2.0            2.0   \n",
       "14047                       Atlanta, GA               0.0            0.0   \n",
       "1519                        Redmond, WA               3.0            0.5   \n",
       "1495                        Redmond, WA              12.0            9.0   \n",
       "1726                        Redmond, WA               0.0            0.0   \n",
       "6735                    Santa Clara, CA               1.0            0.0   \n",
       "1144                  San Francisco, CA               1.0            1.0   \n",
       "783                  Moscow, MC, Russia               4.0            1.0   \n",
       "771                         Seattle, WA               2.0            2.0   \n",
       "488                      Pleasanton, CA               2.0            2.0   \n",
       "712               Vancouver, BC, Canada               7.0            2.0   \n",
       "733            Ekaterinburg, SV, Russia               4.0            2.0   \n",
       "792       Cambridge, EN, United Kingdom               7.0            2.0   \n",
       "1883                        Madison, WI               2.0            2.0   \n",
       "227                   San Francisco, CA               1.0            1.0   \n",
       "384                 Dublin, DN, Ireland               8.0            1.5   \n",
       "778                  Salt Lake City, UT               1.5            6.0   \n",
       "3518               Bangalore, KA, India               5.0            1.0   \n",
       "4959                 Moscow, MC, Russia               3.0            5.0   \n",
       "508                         Seattle, WA               2.0            2.0   \n",
       "13684        London, EN, United Kingdom               1.0            1.0   \n",
       "13760                     Littleton, MA               5.0            5.0   \n",
       "1189                  San Francisco, CA              10.0            4.0   \n",
       "1266               Yorktown Heights, NY               6.0            2.0   \n",
       "444                     Santa Clara, CA               4.5            2.0   \n",
       "6748                       San Jose, CA               6.0            5.0   \n",
       "12650                       Chicago, IL              12.0            8.0   \n",
       "1201                         Austin, TX               6.0            3.0   \n",
       "995                 Toronto, ON, Canada               1.0            1.0   \n",
       "13778                  Tokyo, TY, Japan               7.0            5.0   \n",
       "11377                    Menlo Park, CA              31.0           11.0   \n",
       "12694                       Redmond, WA              11.0           11.0   \n",
       "10662                      New York, NY               7.0            4.0   \n",
       "12829                     Princeton, NJ               5.0            1.0   \n",
       "\n",
       "                                     tag  gender  \\\n",
       "entry_id                                           \n",
       "720                                  NaN    Male   \n",
       "335                                  NaN     NaN   \n",
       "1524                          Full Stack     NaN   \n",
       "471                                  NaN     NaN   \n",
       "4                                    NaN     NaN   \n",
       "14272                         Full Stack    Male   \n",
       "13143                         Full Stack    Male   \n",
       "505                                  NaN    Male   \n",
       "1169                                 NaN    Male   \n",
       "553                                  NaN    Male   \n",
       "779                                  NaN    Male   \n",
       "117                                  NaN     NaN   \n",
       "7845          API Development (Back-End)    Male   \n",
       "965           API Development (Back-End)    Male   \n",
       "8805                             ML / AI  Female   \n",
       "9114      Distributed Systems (Back-End)    Male   \n",
       "9907          API Development (Back-End)    Male   \n",
       "875                           Full Stack    Male   \n",
       "877                           Full Stack    Male   \n",
       "40                                   NaN     NaN   \n",
       "164                                  NaN     NaN   \n",
       "6919                          Full Stack    Male   \n",
       "10794         API Development (Back-End)    Male   \n",
       "449                                  NaN     NaN   \n",
       "1039                            Firmware    Male   \n",
       "355                                  NaN     NaN   \n",
       "14047                             DevOps     NaN   \n",
       "1519                                Data     NaN   \n",
       "1495          API Development (Back-End)     NaN   \n",
       "1726                          Full Stack     NaN   \n",
       "6735          API Development (Back-End)    Male   \n",
       "1144      Distributed Systems (Back-End)    Male   \n",
       "783                                  NaN    Male   \n",
       "771                                  NaN    Male   \n",
       "488                                  NaN    Male   \n",
       "712                                  NaN    Male   \n",
       "733                                  NaN    Male   \n",
       "792       Distributed Systems (Back-End)    Male   \n",
       "1883                          Full Stack     NaN   \n",
       "227                                  NaN     NaN   \n",
       "384                                  NaN     NaN   \n",
       "778                                  NaN    Male   \n",
       "3518                          Full Stack     NaN   \n",
       "4959                      python backend    Male   \n",
       "508                                  NaN     NaN   \n",
       "13684                         Full Stack  Female   \n",
       "13760                           Security    Male   \n",
       "1189                          Full Stack    Male   \n",
       "1266                             ML / AI     NaN   \n",
       "444                                  NaN     NaN   \n",
       "6748                             ML / AI    Male   \n",
       "12650         API Development (Back-End)    Male   \n",
       "1201         Web Development (Front-End)    Male   \n",
       "995           API Development (Back-End)    Male   \n",
       "13778         API Development (Back-End)    Male   \n",
       "11377                           Security    Male   \n",
       "12694                            ML / AI  Female   \n",
       "10662     Distributed Systems (Back-End)    Male   \n",
       "12829                            ML / AI    Male   \n",
       "\n",
       "                                               otherdetails  \n",
       "entry_id                                                     \n",
       "720                                                     NaN  \n",
       "335                                                     NaN  \n",
       "1524                                                    NaN  \n",
       "471                                                     NaN  \n",
       "4                          Stock based on $48.65 per share.  \n",
       "14272                                      Java, Javascript  \n",
       "13143                                                   NaN  \n",
       "505                                                     NaN  \n",
       "1169                                                    NaN  \n",
       "553                                                     NaN  \n",
       "779                                                     NaN  \n",
       "117                                                     NaN  \n",
       "7845                                                    NaN  \n",
       "965                                                     NaN  \n",
       "8805                                                    NaN  \n",
       "9114                                                    NaN  \n",
       "9907                                                    NaN  \n",
       "875                                                     NaN  \n",
       "877                                                     NaN  \n",
       "40                                                      NaN  \n",
       "164                                                     NaN  \n",
       "6919                                                    NaN  \n",
       "10794                                                   NaN  \n",
       "449                                                     NaN  \n",
       "1039                                                    NaN  \n",
       "355                                                     NaN  \n",
       "14047                                                   NaN  \n",
       "1519                                                    NaN  \n",
       "1495                                                    NaN  \n",
       "1726                                                    NaN  \n",
       "6735                                                    NaN  \n",
       "1144                                                    NaN  \n",
       "783                                                     NaN  \n",
       "771                                                     NaN  \n",
       "488       Stock grand 60k on signing + 40k after a year....  \n",
       "712       You must be in the top 3-5% of employees in Ca...  \n",
       "733                                                     NaN  \n",
       "792                                                     NaN  \n",
       "1883                                                    NaN  \n",
       "227                                                     NaN  \n",
       "384                                                     NaN  \n",
       "778                                                     NaN  \n",
       "3518                            Exchange rate of 72 is used  \n",
       "4959                                             net salary  \n",
       "508                                                     NaN  \n",
       "13684                                              Graduate  \n",
       "13760                                                   NaN  \n",
       "1189                                                    NaN  \n",
       "1266                                                    NaN  \n",
       "444                                                     NaN  \n",
       "6748                                                    NaN  \n",
       "12650                                                   NaN  \n",
       "1201                                     .8 (80%) PMR Ratio  \n",
       "995       Free mobile, Free Subway Pass, Very good resou...  \n",
       "13778                                                   NaN  \n",
       "11377                                                   NaN  \n",
       "12694                                                   NaN  \n",
       "10662                                                   NaN  \n",
       "12829                                    non-tradable stock  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# OUTPUT IMPLICATION\n",
    "# Bonus should be scaled down for all values above 999 (See entry 995)\n",
    "# Some bonus inputs are inconsistent with salary or stock scaling choice\n",
    "comp_swe[(comp_swe.raw_bonus > 499) & (comp_swe.raw_bonus < 1e4)].sort_values(by='raw_bonus', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "normalized_total_comp = comp_swe.raw_total_comp.rename('total_comp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def comp_salary_scaler(salary):\n",
    "    if salary > 5e3:\n",
    "        return salary / 1e3\n",
    "    return salary\n",
    "\n",
    "normalized_salary = comp_swe.raw_salary.apply(comp_salary_scaler).rename('salary')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def comp_bonus_scaler(bonus):\n",
    "    if bonus > 999:\n",
    "        return bonus / 1e3\n",
    "    return bonus\n",
    "\n",
    "normalized_bonus = comp_swe.raw_bonus.apply(comp_bonus_scaler).rename('bonus')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "entry_id\n",
       "4        387.5\n",
       "6          0.0\n",
       "8          NaN\n",
       "10        80.0\n",
       "13         8.0\n",
       "         ...  \n",
       "30133      0.0\n",
       "30139    150.0\n",
       "30140      0.0\n",
       "30142     57.0\n",
       "30143     55.0\n",
       "Name: stock, Length: 14808, dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check that salary/stock/bonus actually sum up to the provided total compensation +/- $20k\n",
    "def comp_is_consistent(total_comp, salary, stock, bonus):\n",
    "    return np.absolute(total_comp - (salary + stock + bonus)) <= 20\n",
    "\n",
    "# Stock is most complicated to scale, with most room for input error\n",
    "stocks = []\n",
    "for entry in comp_swe.itertuples():\n",
    "    index = entry.Index\n",
    "    stock = comp_swe.raw_stock[index]\n",
    "    \n",
    "    total_comp = normalized_total_comp[index]\n",
    "    salary = normalized_salary[index]\n",
    "    bonus = normalized_bonus[index]\n",
    "    \n",
    "    consistent_stock = np.nan\n",
    "    if comp_is_consistent(total_comp, salary, stock, bonus): # Attempts stock value as-is\n",
    "        consistent_stock = stock\n",
    "    elif comp_is_consistent(total_comp, salary, stock / 4.0, bonus): # Attempts stock value as vested over 4 years\n",
    "        consistent_stock = stock / 4.0\n",
    "    elif comp_is_consistent(total_comp, salary, stock / 1e3, bonus): # Attempts stock value scaled down to 1000's\n",
    "        consistent_stock = stock / 1e3\n",
    "    elif comp_is_consistent(total_comp, salary, stock / 4e3, bonus): # Attempts above two cases together\n",
    "        consistent_stock = stock / 4e3\n",
    "        \n",
    "    stocks.append(consistent_stock)\n",
    "\n",
    "normalized_stock = pd.Series(data=stocks, index=comp_swe.index).rename('stock')\n",
    "normalized_stock"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>total_comp</th>\n",
       "      <th>salary</th>\n",
       "      <th>stock</th>\n",
       "      <th>bonus</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>company</th>\n",
       "      <th>level</th>\n",
       "      <th>title</th>\n",
       "      <th>location</th>\n",
       "      <th>years_experience</th>\n",
       "      <th>years_company</th>\n",
       "      <th>tag</th>\n",
       "      <th>gender</th>\n",
       "      <th>otherdetails</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>entry_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>578.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>387.5</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2017-06-13 05:35:36</td>\n",
       "      <td>Uber</td>\n",
       "      <td>Senior</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stock based on $48.65 per share.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>173.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>2017-06-16 10:44:01</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L5</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Vancouver, BC, Canada</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>190.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2017-06-20 18:49:59</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L5</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>156.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2017-06-22 13:55:26</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>62</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>201.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>2017-06-26 21:25:45</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>63</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>12.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30133</th>\n",
       "      <td>115.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020-06-05 04:13:25</td>\n",
       "      <td>IBM</td>\n",
       "      <td>Advisory Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Madison, WI</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>Masters</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30139</th>\n",
       "      <td>370.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>2020-06-05 08:52:54</td>\n",
       "      <td>Twitter</td>\n",
       "      <td>Senior SWE</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>iOS</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30140</th>\n",
       "      <td>212.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>2020-06-05 09:19:09</td>\n",
       "      <td>Bloomberg</td>\n",
       "      <td>Senior Software Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>25k signing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30142</th>\n",
       "      <td>185.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2020-06-05 09:53:21</td>\n",
       "      <td>Google</td>\n",
       "      <td>L4</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>London, EN, United Kingdom</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30143</th>\n",
       "      <td>180.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2020-06-05 09:58:40</td>\n",
       "      <td>Broadcom</td>\n",
       "      <td>ICB 3</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Tel Aviv, TA, Israel</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Networking</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14557 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          total_comp  salary  stock  bonus            timestamp    company  \\\n",
       "entry_id                                                                     \n",
       "4              578.0   180.0  387.5    9.0  2017-06-13 05:35:36       Uber   \n",
       "6              173.0   120.0    0.0   53.0  2017-06-16 10:44:01     Amazon   \n",
       "10             190.0   110.0   80.0    0.0  2017-06-20 18:49:59     Amazon   \n",
       "13             156.0   135.0    8.0   13.0  2017-06-22 13:55:26  Microsoft   \n",
       "16             201.0   157.0   26.0   28.0  2017-06-26 21:25:45  Microsoft   \n",
       "...              ...     ...    ...    ...                  ...        ...   \n",
       "30133          115.0   115.0    0.0    0.0  2020-06-05 04:13:25        IBM   \n",
       "30139          370.0   187.0  150.0   33.0  2020-06-05 08:52:54    Twitter   \n",
       "30140          212.0   177.0    0.0   35.0  2020-06-05 09:19:09  Bloomberg   \n",
       "30142          185.0    98.0   57.0   30.0  2020-06-05 09:53:21     Google   \n",
       "30143          180.0   110.0   55.0   15.0  2020-06-05 09:58:40   Broadcom   \n",
       "\n",
       "                             level              title  \\\n",
       "entry_id                                                \n",
       "4                           Senior  Software Engineer   \n",
       "6                               L5  Software Engineer   \n",
       "10                              L5  Software Engineer   \n",
       "13                              62  Software Engineer   \n",
       "16                              63  Software Engineer   \n",
       "...                            ...                ...   \n",
       "30133            Advisory Engineer  Software Engineer   \n",
       "30139                   Senior SWE  Software Engineer   \n",
       "30140     Senior Software Engineer  Software Engineer   \n",
       "30142                           L4  Software Engineer   \n",
       "30143                        ICB 3  Software Engineer   \n",
       "\n",
       "                            location  years_experience  years_company  \\\n",
       "entry_id                                                                \n",
       "4                  San Francisco, CA              10.0            2.0   \n",
       "6              Vancouver, BC, Canada              11.0            1.0   \n",
       "10                       Seattle, WA               3.0            3.0   \n",
       "13                       Seattle, WA               4.0            4.0   \n",
       "16                       Seattle, WA              12.0            6.0   \n",
       "...                              ...               ...            ...   \n",
       "30133                    Madison, WI               6.0            1.0   \n",
       "30139                   New York, NY              10.0            6.0   \n",
       "30140                   New York, NY               2.0            0.0   \n",
       "30142     London, EN, United Kingdom               4.0            2.0   \n",
       "30143           Tel Aviv, TA, Israel               7.0            7.0   \n",
       "\n",
       "                                     tag gender  \\\n",
       "entry_id                                          \n",
       "4                                    NaN    NaN   \n",
       "6                                    NaN    NaN   \n",
       "10                                   NaN    NaN   \n",
       "13                                   NaN    NaN   \n",
       "16                                   NaN    NaN   \n",
       "...                                  ...    ...   \n",
       "30133     Distributed Systems (Back-End)   Male   \n",
       "30139                                iOS   Male   \n",
       "30140     Distributed Systems (Back-End)   Male   \n",
       "30142         API Development (Back-End)   Male   \n",
       "30143                         Networking   Male   \n",
       "\n",
       "                              otherdetails  \n",
       "entry_id                                    \n",
       "4         Stock based on $48.65 per share.  \n",
       "6                                      NaN  \n",
       "10                                     NaN  \n",
       "13                                     NaN  \n",
       "16                                     NaN  \n",
       "...                                    ...  \n",
       "30133                              Masters  \n",
       "30139                                  NaN  \n",
       "30140                          25k signing  \n",
       "30142                                  NaN  \n",
       "30143                                  NaN  \n",
       "\n",
       "[14557 rows x 14 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comp_normalized = pd.concat([\n",
    "    normalized_total_comp,\n",
    "    normalized_salary,\n",
    "    normalized_stock,\n",
    "    normalized_bonus,\n",
    "    comp_swe\n",
    "], axis=1)\n",
    "comp_normalized = comp_normalized.drop(columns=['raw_total_comp', 'raw_salary', 'raw_stock', 'raw_bonus'])\n",
    "comp_normalized = comp_normalized.dropna(subset=['stock']) # Remove \"inconsistent\" sum values, represented as NaN\n",
    "comp_normalized"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Sanity Check on Target Value Ranges"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa998dcee10>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_comp</th>\n",
       "      <th>salary</th>\n",
       "      <th>stock</th>\n",
       "      <th>bonus</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>company</th>\n",
       "      <th>level</th>\n",
       "      <th>title</th>\n",
       "      <th>location</th>\n",
       "      <th>years_experience</th>\n",
       "      <th>years_company</th>\n",
       "      <th>tag</th>\n",
       "      <th>gender</th>\n",
       "      <th>otherdetails</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>entry_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16438</th>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-10-18 13:57:18</td>\n",
       "      <td>Netflix</td>\n",
       "      <td>Senior Software Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Los Gatos, CA</td>\n",
       "      <td>15.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Security</td>\n",
       "      <td>Male</td>\n",
       "      <td>+5% into stock option plan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3486</th>\n",
       "      <td>990.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>2018-11-01 01:06:12</td>\n",
       "      <td>Google</td>\n",
       "      <td>L9 / L10</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Chicago, IL</td>\n",
       "      <td>20.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2177</th>\n",
       "      <td>630.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-09-20 22:40:58</td>\n",
       "      <td>Netflix</td>\n",
       "      <td>Senior Software Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Los Gatos, CA</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29811</th>\n",
       "      <td>600.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020-05-31 09:24:42</td>\n",
       "      <td>Netflix</td>\n",
       "      <td>Senior</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Los Gatos, CA</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8645</th>\n",
       "      <td>630.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-05-12 13:25:58</td>\n",
       "      <td>Netflix</td>\n",
       "      <td>Senior Software Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Los Gatos, CA</td>\n",
       "      <td>12.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18235</th>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-11-28 13:47:26</td>\n",
       "      <td>Andela</td>\n",
       "      <td>E1</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Lagos, LA, Nigeria</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29059</th>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2020-05-20 17:44:06</td>\n",
       "      <td>Accenture</td>\n",
       "      <td>Software Engineer Analyst</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Bangalore, KA, India</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Web Development (Front-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16379</th>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-10-17 01:59:32</td>\n",
       "      <td>Andela</td>\n",
       "      <td>E1</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Lagos, LA, Nigeria</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11191</th>\n",
       "      <td>11.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2019-06-27 14:26:22</td>\n",
       "      <td>Flipkart</td>\n",
       "      <td>Principal Architect</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Bangalore, KA, India</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>DevOps</td>\n",
       "      <td>Other</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14967</th>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2019-09-16 23:19:35</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>SDE I</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Chennai, TN, India</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Web Development (Front-End)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14557 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          total_comp  salary  stock  bonus            timestamp    company  \\\n",
       "entry_id                                                                     \n",
       "16438          750.0   750.0    0.0    0.0  2019-10-18 13:57:18    Netflix   \n",
       "3486           990.0   650.0  250.0   90.0  2018-11-01 01:06:12     Google   \n",
       "2177           630.0   600.0   30.0    0.0  2018-09-20 22:40:58    Netflix   \n",
       "29811          600.0   600.0    3.0    0.0  2020-05-31 09:24:42   Netflix    \n",
       "8645           630.0   600.0   30.0    0.0  2019-05-12 13:25:58    Netflix   \n",
       "...              ...     ...    ...    ...                  ...        ...   \n",
       "18235           10.0     5.0    0.0    0.0  2019-11-28 13:47:26     Andela   \n",
       "29059           10.0     5.0    0.0    1.0  2020-05-20 17:44:06  Accenture   \n",
       "16379           10.0     5.0    0.0    0.0  2019-10-17 01:59:32     Andela   \n",
       "11191           11.0     2.0    8.0    1.0  2019-06-27 14:26:22   Flipkart   \n",
       "14967           10.0     1.0    1.0    8.0  2019-09-16 23:19:35  Microsoft   \n",
       "\n",
       "                              level              title              location  \\\n",
       "entry_id                                                                       \n",
       "16438      Senior Software Engineer  Software Engineer         Los Gatos, CA   \n",
       "3486                       L9 / L10  Software Engineer           Chicago, IL   \n",
       "2177       Senior Software Engineer  Software Engineer         Los Gatos, CA   \n",
       "29811                        Senior  Software Engineer         Los Gatos, CA   \n",
       "8645       Senior Software Engineer  Software Engineer         Los Gatos, CA   \n",
       "...                             ...                ...                   ...   \n",
       "18235                            E1  Software Engineer    Lagos, LA, Nigeria   \n",
       "29059     Software Engineer Analyst  Software Engineer  Bangalore, KA, India   \n",
       "16379                            E1  Software Engineer    Lagos, LA, Nigeria   \n",
       "11191           Principal Architect  Software Engineer  Bangalore, KA, India   \n",
       "14967                         SDE I  Software Engineer    Chennai, TN, India   \n",
       "\n",
       "          years_experience  years_company                             tag  \\\n",
       "entry_id                                                                    \n",
       "16438                 15.0            7.0                        Security   \n",
       "3486                  20.0           15.0                         ML / AI   \n",
       "2177                  10.0            1.0  Distributed Systems (Back-End)   \n",
       "29811                  9.0            4.0  Distributed Systems (Back-End)   \n",
       "8645                  12.0            3.0                      Full Stack   \n",
       "...                    ...            ...                             ...   \n",
       "18235                  5.0            1.0                      Full Stack   \n",
       "29059                  2.0            2.0     Web Development (Front-End)   \n",
       "16379                  5.0            1.0                      Full Stack   \n",
       "11191                 12.0           12.0                          DevOps   \n",
       "14967                  0.0            1.0     Web Development (Front-End)   \n",
       "\n",
       "         gender                otherdetails  \n",
       "entry_id                                     \n",
       "16438      Male  +5% into stock option plan  \n",
       "3486        NaN                         NaN  \n",
       "2177        NaN                         NaN  \n",
       "29811       NaN                         NaN  \n",
       "8645       Male                         NaN  \n",
       "...         ...                         ...  \n",
       "18235      Male                         NaN  \n",
       "29059      Male                         NaN  \n",
       "16379       NaN                         NaN  \n",
       "11191     Other                         NaN  \n",
       "14967       NaN                         NaN  \n",
       "\n",
       "[14557 rows x 14 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "comp_normalized.salary.plot.box()\n",
    "comp_normalized.sort_values(by='salary', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa998d1c890>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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>total_comp</th>\n",
       "      <th>salary</th>\n",
       "      <th>stock</th>\n",
       "      <th>bonus</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>company</th>\n",
       "      <th>level</th>\n",
       "      <th>title</th>\n",
       "      <th>location</th>\n",
       "      <th>years_experience</th>\n",
       "      <th>years_company</th>\n",
       "      <th>tag</th>\n",
       "      <th>gender</th>\n",
       "      <th>otherdetails</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>entry_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9041</th>\n",
       "      <td>2221.0</td>\n",
       "      <td>275.0</td>\n",
       "      <td>1867.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>2019-05-23 13:45:55</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>E7</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>8.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21423</th>\n",
       "      <td>2400.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2020-01-30 15:13:18</td>\n",
       "      <td>Doordash</td>\n",
       "      <td>E7</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12694</th>\n",
       "      <td>2500.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>2019-07-31 22:52:33</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>69</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>11.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28380</th>\n",
       "      <td>1800.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2020-05-11 21:51:56</td>\n",
       "      <td>Google</td>\n",
       "      <td>L8</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>15.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>Male</td>\n",
       "      <td>PhD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8202</th>\n",
       "      <td>1750.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>2019-04-27 21:44:39</td>\n",
       "      <td>Google</td>\n",
       "      <td>Distinguished Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Mountain View, CA</td>\n",
       "      <td>22.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>Security</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26797</th>\n",
       "      <td>158.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>2020-04-16 21:46:07</td>\n",
       "      <td>Ibm</td>\n",
       "      <td>Senior</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Austin, TX</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26795</th>\n",
       "      <td>160.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2020-04-16 20:57:51</td>\n",
       "      <td>IBM</td>\n",
       "      <td>9</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Antonio, TX</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>25K signing bonus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19660</th>\n",
       "      <td>132.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-01-04 09:38:53</td>\n",
       "      <td>Chewy</td>\n",
       "      <td>SE2</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Boston, MA</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21649</th>\n",
       "      <td>90.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020-02-03 09:11:04</td>\n",
       "      <td>SAP</td>\n",
       "      <td>Intern</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Newport Beach, CA</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>Masters</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14338</th>\n",
       "      <td>380.0</td>\n",
       "      <td>380.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-09-10 08:39:33</td>\n",
       "      <td>Netflix</td>\n",
       "      <td>Senior Software Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Web Development (Front-End)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14557 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          total_comp  salary   stock  bonus            timestamp    company  \\\n",
       "entry_id                                                                      \n",
       "9041          2221.0   275.0  1867.0   79.0  2019-05-23 13:45:55   Facebook   \n",
       "21423         2400.0   500.0  1800.0  100.0  2020-01-30 15:13:18   Doordash   \n",
       "12694         2500.0   350.0  1500.0  650.0  2019-07-31 22:52:33  Microsoft   \n",
       "28380         1800.0   300.0  1400.0  100.0  2020-05-11 21:51:56    Google    \n",
       "8202          1750.0   200.0  1200.0  350.0  2019-04-27 21:44:39     Google   \n",
       "...              ...     ...     ...    ...                  ...        ...   \n",
       "26797          158.0   112.0     0.0   46.0  2020-04-16 21:46:07        Ibm   \n",
       "26795          160.0   160.0     0.0    1.0  2020-04-16 20:57:51        IBM   \n",
       "19660          132.0   120.0     0.0   12.0  2020-01-04 09:38:53      Chewy   \n",
       "21649           90.0    90.0     0.0    0.0  2020-02-03 09:11:04        SAP   \n",
       "14338          380.0   380.0     0.0    0.0  2019-09-10 08:39:33    Netflix   \n",
       "\n",
       "                             level              title           location  \\\n",
       "entry_id                                                                   \n",
       "9041                            E7  Software Engineer       New York, NY   \n",
       "21423                           E7  Software Engineer        Seattle, WA   \n",
       "12694                           69  Software Engineer        Redmond, WA   \n",
       "28380                           L8  Software Engineer        Seattle, WA   \n",
       "8202        Distinguished Engineer  Software Engineer  Mountain View, CA   \n",
       "...                            ...                ...                ...   \n",
       "26797                       Senior  Software Engineer         Austin, TX   \n",
       "26795                            9  Software Engineer    San Antonio, TX   \n",
       "19660                          SE2  Software Engineer         Boston, MA   \n",
       "21649                       Intern  Software Engineer  Newport Beach, CA   \n",
       "14338     Senior Software Engineer  Software Engineer  San Francisco, CA   \n",
       "\n",
       "          years_experience  years_company                             tag  \\\n",
       "entry_id                                                                    \n",
       "9041                   8.0            6.0                      Full Stack   \n",
       "21423                 20.0            2.0                         ML / AI   \n",
       "12694                 11.0           11.0                         ML / AI   \n",
       "28380                 15.0           10.0                         ML / AI   \n",
       "8202                  22.0           18.0                        Security   \n",
       "...                    ...            ...                             ...   \n",
       "26797                  3.0            1.0                      Full Stack   \n",
       "26795                  9.0            3.0      API Development (Back-End)   \n",
       "19660                  9.0            1.0                      Full Stack   \n",
       "21649                  1.0            0.0  Distributed Systems (Back-End)   \n",
       "14338                 10.0            3.0     Web Development (Front-End)   \n",
       "\n",
       "          gender       otherdetails  \n",
       "entry_id                             \n",
       "9041        Male                NaN  \n",
       "21423        NaN                NaN  \n",
       "12694     Female                NaN  \n",
       "28380       Male                PhD  \n",
       "8202        Male                NaN  \n",
       "...          ...                ...  \n",
       "26797        NaN                NaN  \n",
       "26795       Male  25K signing bonus  \n",
       "19660       Male                NaN  \n",
       "21649       Male            Masters  \n",
       "14338        NaN                NaN  \n",
       "\n",
       "[14557 rows x 14 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "comp_normalized.stock.plot.box()\n",
    "comp_normalized.sort_values(by='stock', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa998c4e790>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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>total_comp</th>\n",
       "      <th>salary</th>\n",
       "      <th>stock</th>\n",
       "      <th>bonus</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>company</th>\n",
       "      <th>level</th>\n",
       "      <th>title</th>\n",
       "      <th>location</th>\n",
       "      <th>years_experience</th>\n",
       "      <th>years_company</th>\n",
       "      <th>tag</th>\n",
       "      <th>gender</th>\n",
       "      <th>otherdetails</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>entry_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11377</th>\n",
       "      <td>1800.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>2019-07-02 15:05:10</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>E8</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Menlo Park, CA</td>\n",
       "      <td>31.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>Security</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12694</th>\n",
       "      <td>2500.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>2019-07-31 22:52:33</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>69</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>11.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10662</th>\n",
       "      <td>1030.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>630.0</td>\n",
       "      <td>2019-06-18 17:00:28</td>\n",
       "      <td>Jane Street Capital</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12829</th>\n",
       "      <td>720.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>2019-08-05 11:16:26</td>\n",
       "      <td>Argo AI</td>\n",
       "      <td>5</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Princeton, NJ</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>Male</td>\n",
       "      <td>non-tradable stock</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17707</th>\n",
       "      <td>680.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>475.0</td>\n",
       "      <td>2019-11-16 15:49:12</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L7</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>ML / AI</td>\n",
       "      <td>Female</td>\n",
       "      <td>Masters</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20387</th>\n",
       "      <td>195.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020-01-17 07:51:56</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>SDE II</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Boston, MA</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20384</th>\n",
       "      <td>10.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020-01-17 07:30:41</td>\n",
       "      <td>Andela</td>\n",
       "      <td>ENG 1</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Nairobi, NA, Kenya</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>Salary is actually $9,800 a year but forma val...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20380</th>\n",
       "      <td>600.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>390.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020-01-17 05:48:05</td>\n",
       "      <td>Snap</td>\n",
       "      <td>L5</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>Male</td>\n",
       "      <td>PhD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20379</th>\n",
       "      <td>225.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020-01-17 05:45:25</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L5</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Boston, MA</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "      <td>Male</td>\n",
       "      <td>Masters</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16476</th>\n",
       "      <td>207.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-10-19 10:43:02</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L5</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Full Stack</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14557 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          total_comp  salary   stock  bonus            timestamp  \\\n",
       "entry_id                                                           \n",
       "11377         1800.0   350.0   700.0  750.0  2019-07-02 15:05:10   \n",
       "12694         2500.0   350.0  1500.0  650.0  2019-07-31 22:52:33   \n",
       "10662         1030.0   400.0     0.0  630.0  2019-06-18 17:00:28   \n",
       "12829          720.0   200.0    20.0  500.0  2019-08-05 11:16:26   \n",
       "17707          680.0   160.0    45.0  475.0  2019-11-16 15:49:12   \n",
       "...              ...     ...     ...    ...                  ...   \n",
       "20387          195.0   142.0    50.0    0.0  2020-01-17 07:51:56   \n",
       "20384           10.0     9.0     0.0    0.0  2020-01-17 07:30:41   \n",
       "20380          600.0   210.0   390.0    0.0  2020-01-17 05:48:05   \n",
       "20379          225.0   145.0    80.0    0.0  2020-01-17 05:45:25   \n",
       "16476          207.0   156.0    51.0    0.0  2019-10-19 10:43:02   \n",
       "\n",
       "                      company              level              title  \\\n",
       "entry_id                                                              \n",
       "11377                Facebook                 E8  Software Engineer   \n",
       "12694               Microsoft                 69  Software Engineer   \n",
       "10662     Jane Street Capital  Software Engineer  Software Engineer   \n",
       "12829                 Argo AI                  5  Software Engineer   \n",
       "17707                  Amazon                 L7  Software Engineer   \n",
       "...                       ...                ...                ...   \n",
       "20387                  Amazon             SDE II  Software Engineer   \n",
       "20384                  Andela              ENG 1  Software Engineer   \n",
       "20380                    Snap                 L5  Software Engineer   \n",
       "20379                  Amazon                 L5  Software Engineer   \n",
       "16476                  Amazon                 L5  Software Engineer   \n",
       "\n",
       "                    location  years_experience  years_company  \\\n",
       "entry_id                                                        \n",
       "11377         Menlo Park, CA              31.0           11.0   \n",
       "12694            Redmond, WA              11.0           11.0   \n",
       "10662           New York, NY               7.0            4.0   \n",
       "12829          Princeton, NJ               5.0            1.0   \n",
       "17707            Seattle, WA              20.0            0.0   \n",
       "...                      ...               ...            ...   \n",
       "20387             Boston, MA               3.0            3.0   \n",
       "20384     Nairobi, NA, Kenya               3.0            3.5   \n",
       "20380            Seattle, WA              15.0            1.0   \n",
       "20379             Boston, MA               5.0            2.0   \n",
       "16476           New York, NY               2.0            2.0   \n",
       "\n",
       "                                     tag  gender  \\\n",
       "entry_id                                           \n",
       "11377                           Security    Male   \n",
       "12694                            ML / AI  Female   \n",
       "10662     Distributed Systems (Back-End)    Male   \n",
       "12829                            ML / AI    Male   \n",
       "17707                            ML / AI  Female   \n",
       "...                                  ...     ...   \n",
       "20387                         Full Stack    Male   \n",
       "20384         API Development (Back-End)    Male   \n",
       "20380                         Full Stack    Male   \n",
       "20379         API Development (Back-End)    Male   \n",
       "16476                         Full Stack     NaN   \n",
       "\n",
       "                                               otherdetails  \n",
       "entry_id                                                     \n",
       "11377                                                   NaN  \n",
       "12694                                                   NaN  \n",
       "10662                                                   NaN  \n",
       "12829                                    non-tradable stock  \n",
       "17707                                               Masters  \n",
       "...                                                     ...  \n",
       "20387                                                   NaN  \n",
       "20384     Salary is actually $9,800 a year but forma val...  \n",
       "20380                                                   PhD  \n",
       "20379                                               Masters  \n",
       "16476                                                   NaN  \n",
       "\n",
       "[14557 rows x 14 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "comp_normalized.bonus.plot.box()\n",
    "comp_normalized.sort_values(by='bonus', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "total_comp            0\n",
       "salary                0\n",
       "stock                 0\n",
       "bonus                 0\n",
       "company               0\n",
       "level                 6\n",
       "location              0\n",
       "years_experience      0\n",
       "years_company         0\n",
       "tag                 476\n",
       "dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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>total_comp</th>\n",
       "      <th>salary</th>\n",
       "      <th>stock</th>\n",
       "      <th>bonus</th>\n",
       "      <th>company</th>\n",
       "      <th>level</th>\n",
       "      <th>location</th>\n",
       "      <th>years_experience</th>\n",
       "      <th>years_company</th>\n",
       "      <th>tag</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>entry_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>578.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>387.5</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Uber</td>\n",
       "      <td>Senior</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>173.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L5</td>\n",
       "      <td>Vancouver, BC, Canada</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>190.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>L5</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>156.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>62</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>201.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>63</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>12.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30133</th>\n",
       "      <td>115.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>IBM</td>\n",
       "      <td>Advisory Engineer</td>\n",
       "      <td>Madison, WI</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30139</th>\n",
       "      <td>370.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>Twitter</td>\n",
       "      <td>Senior SWE</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>iOS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30140</th>\n",
       "      <td>212.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>Bloomberg</td>\n",
       "      <td>Senior Software Engineer</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Distributed Systems (Back-End)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30142</th>\n",
       "      <td>185.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>Google</td>\n",
       "      <td>L4</td>\n",
       "      <td>London, EN, United Kingdom</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>API Development (Back-End)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30143</th>\n",
       "      <td>180.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>Broadcom</td>\n",
       "      <td>ICB 3</td>\n",
       "      <td>Tel Aviv, TA, Israel</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Networking</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14557 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          total_comp  salary  stock  bonus    company  \\\n",
       "entry_id                                                \n",
       "4              578.0   180.0  387.5    9.0       Uber   \n",
       "6              173.0   120.0    0.0   53.0     Amazon   \n",
       "10             190.0   110.0   80.0    0.0     Amazon   \n",
       "13             156.0   135.0    8.0   13.0  Microsoft   \n",
       "16             201.0   157.0   26.0   28.0  Microsoft   \n",
       "...              ...     ...    ...    ...        ...   \n",
       "30133          115.0   115.0    0.0    0.0        IBM   \n",
       "30139          370.0   187.0  150.0   33.0    Twitter   \n",
       "30140          212.0   177.0    0.0   35.0  Bloomberg   \n",
       "30142          185.0    98.0   57.0   30.0     Google   \n",
       "30143          180.0   110.0   55.0   15.0   Broadcom   \n",
       "\n",
       "                             level                    location  \\\n",
       "entry_id                                                         \n",
       "4                           Senior           San Francisco, CA   \n",
       "6                               L5       Vancouver, BC, Canada   \n",
       "10                              L5                 Seattle, WA   \n",
       "13                              62                 Seattle, WA   \n",
       "16                              63                 Seattle, WA   \n",
       "...                            ...                         ...   \n",
       "30133            Advisory Engineer                 Madison, WI   \n",
       "30139                   Senior SWE                New York, NY   \n",
       "30140     Senior Software Engineer                New York, NY   \n",
       "30142                           L4  London, EN, United Kingdom   \n",
       "30143                        ICB 3        Tel Aviv, TA, Israel   \n",
       "\n",
       "          years_experience  years_company                             tag  \n",
       "entry_id                                                                   \n",
       "4                     10.0            2.0                             NaN  \n",
       "6                     11.0            1.0                             NaN  \n",
       "10                     3.0            3.0                             NaN  \n",
       "13                     4.0            4.0                             NaN  \n",
       "16                    12.0            6.0                             NaN  \n",
       "...                    ...            ...                             ...  \n",
       "30133                  6.0            1.0  Distributed Systems (Back-End)  \n",
       "30139                 10.0            6.0                             iOS  \n",
       "30140                  2.0            0.0  Distributed Systems (Back-End)  \n",
       "30142                  4.0            2.0      API Development (Back-End)  \n",
       "30143                  7.0            7.0                      Networking  \n",
       "\n",
       "[14557 rows x 10 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comp_clean = comp_normalized.drop(columns=['timestamp', 'gender', 'otherdetails', 'title'])\n",
    "comp_clean.company = comp_clean.company.str.strip()\n",
    "comp_clean.level = comp_clean.level.str.strip()\n",
    "comp_clean.location = comp_clean.location.str.strip()\n",
    "comp_clean.tag = comp_clean.tag.str.strip()\n",
    "\n",
    "comp_clean.isna().sum(axis=0)\n",
    "comp_clean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "comp_clean.to_csv('data/clean_comp_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "colab_type": "code",
    "id": "Mrh7vE2OEciE",
    "outputId": "caf91f7b-a3f2-44f2-fde9-a9b5d0936351"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7fa998e2e650>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 42 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(comp_clean)"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "collapsed_sections": [],
   "name": "Levels.fyi Data Cleaning.ipynb",
   "provenance": []
  },
  "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": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}