syamdev/exercise-project-for-data-analysis-la-county-employee-salaries.ipynb

## exercise-project-for-data-analysis-la-county-employee-salaries.ipynb
{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.6"
    },
    "toc": {
      "base_numbering": 1,
      "nav_menu": {},
      "number_sections": false,
      "sideBar": true,
      "skip_h1_title": false,
      "title_cell": "Table of Contents",
      "title_sidebar": "Contents",
      "toc_cell": false,
      "toc_position": {
        "height": "calc(100% - 180px)",
        "left": "10px",
        "top": "150px",
        "width": "171px"
      },
      "toc_section_display": true,
      "toc_window_display": true
    },
    "colab": {
      "name": "Exercise Project for Data Analysis - LA County Employee Salaries.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/syamdev/ab4f476fa9ff954b02c1bad8d8fd90f1/exercise-project-for-data-analysis-la-county-employee-salaries.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dLm7eoVx5p5-",
        "colab_type": "text"
      },
      "source": [
        "# Exploratory Data Analysis"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YYmsjESz5p5_",
        "colab_type": "text"
      },
      "source": [
        "## Analyze LA County Employee Salaries Data"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5Li2Avhu5p6A",
        "colab_type": "text"
      },
      "source": [
        "### Question"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YsCOZpjy5p6B",
        "colab_type": "text"
      },
      "source": [
        "1. Bagaimana korelasi di setiap variable (**kecuali** variabel tahun, nama, position & department)?\n",
        "1. Berapa jumlah unique **Position Title** di setiap **Department**?\n",
        "1. **Position Title** mana saja yang menghasilkan **Total Earnings, Total Benefits, dan Total Compensation** tertinggi (urutkan berdasarkan Total Compensation masing-masing 5)?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SNrvkgK65p6C",
        "colab_type": "text"
      },
      "source": [
        "### Wrangle"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CW7hxu4J6LbQ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 292
        },
        "outputId": "b2f6604e-578a-48be-fe91-95e4f4f91cf2"
      },
      "source": [
        "!pip install pandasql"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting pandasql\n",
            "  Downloading https://files.pythonhosted.org/packages/6b/c4/ee4096ffa2eeeca0c749b26f0371bd26aa5c8b611c43de99a4f86d3de0a7/pandasql-0.7.3.tar.gz\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from pandasql) (1.18.2)\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.6/dist-packages (from pandasql) (1.0.3)\n",
            "Requirement already satisfied: sqlalchemy in /usr/local/lib/python3.6/dist-packages (from pandasql) (1.3.16)\n",
            "Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.6/dist-packages (from pandas->pandasql) (2018.9)\n",
            "Requirement already satisfied: python-dateutil>=2.6.1 in /usr/local/lib/python3.6/dist-packages (from pandas->pandasql) (2.8.1)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.6/dist-packages (from python-dateutil>=2.6.1->pandas->pandasql) (1.12.0)\n",
            "Building wheels for collected packages: pandasql\n",
            "  Building wheel for pandasql (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pandasql: filename=pandasql-0.7.3-cp36-none-any.whl size=26819 sha256=216b95477ec29864bf0a64c33fbe9b916ee130dfb81859654ae53198f48f12f0\n",
            "  Stored in directory: /root/.cache/pip/wheels/53/6c/18/b87a2e5fa8a82e9c026311de56210b8d1c01846e18a9607fc9\n",
            "Successfully built pandasql\n",
            "Installing collected packages: pandasql\n",
            "Successfully installed pandasql-0.7.3\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ANJL9u1O5p6D",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandasql\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "import warnings\n",
        "warnings.simplefilter(action='ignore', category=FutureWarning)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qAMlLtZC5p6J",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Source: https://data.lacounty.gov/Human-Resources/LA-County-Employee-Salaries/8rdv-6nb6\n",
        "\n",
        "# Import data\n",
        "salary = pd.read_csv('https://data.lacounty.gov/resource/8rdv-6nb6.csv')\n",
        "\n",
        "# Drop columns\n",
        "salary_drop = salary.drop(columns=['year', 'employee_last_name', 'employee_first_name', 'employee_mi', 'position_title', 'department', 'employee_name'])\n",
        "\n",
        "# Total earnings average of all employees\n",
        "total_earnings_avg = salary['total_earnings'].mean()\n",
        "\n",
        "# Add column & categorize Total Earnings Average (1 for above avg & 0 for below avg)\n",
        "\n",
        "\n",
        "# Rasio total_benefits & total_earnings"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tHfbTPBc5p6P",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 476
        },
        "outputId": "cbb5a2c1-6aa7-47b6-8524-5dd247880a2a"
      },
      "source": [
        "salary.info()"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1000 entries, 0 to 999\n",
            "Data columns (total 20 columns):\n",
            " #   Column                 Non-Null Count  Dtype  \n",
            "---  ------                 --------------  -----  \n",
            " 0   year                   1000 non-null   int64  \n",
            " 1   employee_last_name     1000 non-null   object \n",
            " 2   employee_first_name    1000 non-null   object \n",
            " 3   employee_mi            673 non-null    object \n",
            " 4   position_title         1000 non-null   object \n",
            " 5   department             1000 non-null   object \n",
            " 6   base_earnings          1000 non-null   float64\n",
            " 7   overtime               1000 non-null   float64\n",
            " 8   other_earnings         1000 non-null   float64\n",
            " 9   leave_time_payouts     1000 non-null   float64\n",
            " 10  total_earnings         1000 non-null   float64\n",
            " 11  med_den_vis            1000 non-null   float64\n",
            " 12  retirement_surcharge   1000 non-null   float64\n",
            " 13  pension_contributions  1000 non-null   float64\n",
            " 14  deferred_contributons  1000 non-null   float64\n",
            " 15  ltd_life_med_tax       1000 non-null   float64\n",
            " 16  other_benefits         1000 non-null   float64\n",
            " 17  total_benefits         1000 non-null   float64\n",
            " 18  total_compensation     1000 non-null   float64\n",
            " 19  employee_name          1000 non-null   object \n",
            "dtypes: float64(13), int64(1), object(6)\n",
            "memory usage: 156.4+ KB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": true,
        "id": "9lSLcg8Y5p6T",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 317
        },
        "outputId": "17c1c0fa-7924-41ab-e763-91cd9c13d78a"
      },
      "source": [
        "salary.describe()"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "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>year</th>\n",
              "      <th>base_earnings</th>\n",
              "      <th>overtime</th>\n",
              "      <th>other_earnings</th>\n",
              "      <th>leave_time_payouts</th>\n",
              "      <th>total_earnings</th>\n",
              "      <th>med_den_vis</th>\n",
              "      <th>retirement_surcharge</th>\n",
              "      <th>pension_contributions</th>\n",
              "      <th>deferred_contributons</th>\n",
              "      <th>ltd_life_med_tax</th>\n",
              "      <th>other_benefits</th>\n",
              "      <th>total_benefits</th>\n",
              "      <th>total_compensation</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>1000.0</td>\n",
              "      <td>1000.000000</td>\n",
              "      <td>1000.000000</td>\n",
              "      <td>1000.000000</td>\n",
              "      <td>1000.000000</td>\n",
              "      <td>1000.000000</td>\n",
              "      <td>1000.000000</td>\n",
              "      <td>1000.000000</td>\n",
              "      <td>1000.000000</td>\n",
              "      <td>1000.00000</td>\n",
              "      <td>1000.000000</td>\n",
              "      <td>1000.000000</td>\n",
              "      <td>1000.000000</td>\n",
              "      <td>1000.00000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>2013.0</td>\n",
              "      <td>65396.772700</td>\n",
              "      <td>1110.577860</td>\n",
              "      <td>3484.854540</td>\n",
              "      <td>1041.983030</td>\n",
              "      <td>71034.188130</td>\n",
              "      <td>12035.784770</td>\n",
              "      <td>1.980540</td>\n",
              "      <td>11231.378580</td>\n",
              "      <td>2926.58785</td>\n",
              "      <td>1489.918690</td>\n",
              "      <td>1507.532450</td>\n",
              "      <td>29193.182880</td>\n",
              "      <td>100227.37101</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>0.0</td>\n",
              "      <td>41657.581962</td>\n",
              "      <td>2457.291123</td>\n",
              "      <td>4389.754204</td>\n",
              "      <td>2649.476047</td>\n",
              "      <td>45301.185288</td>\n",
              "      <td>6853.267344</td>\n",
              "      <td>30.366281</td>\n",
              "      <td>7399.981612</td>\n",
              "      <td>4126.25831</td>\n",
              "      <td>1466.496074</td>\n",
              "      <td>2653.108463</td>\n",
              "      <td>17421.243209</td>\n",
              "      <td>61255.06275</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>2013.0</td>\n",
              "      <td>-1685.250000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-1117.48000</td>\n",
              "      <td>1.430000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>4.310000</td>\n",
              "      <td>26.58000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>2013.0</td>\n",
              "      <td>36948.780000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>991.800000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>40781.310000</td>\n",
              "      <td>7272.840000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>6480.145000</td>\n",
              "      <td>0.00000</td>\n",
              "      <td>723.922500</td>\n",
              "      <td>48.167500</td>\n",
              "      <td>18069.280000</td>\n",
              "      <td>61679.93000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>2013.0</td>\n",
              "      <td>51968.880000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2048.345000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>56117.480000</td>\n",
              "      <td>13416.360000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>9022.145000</td>\n",
              "      <td>1276.76000</td>\n",
              "      <td>989.280000</td>\n",
              "      <td>120.480000</td>\n",
              "      <td>26089.930000</td>\n",
              "      <td>80670.14500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>2013.0</td>\n",
              "      <td>81544.470000</td>\n",
              "      <td>1248.332500</td>\n",
              "      <td>3828.060000</td>\n",
              "      <td>1070.110000</td>\n",
              "      <td>88499.180000</td>\n",
              "      <td>16706.280000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>14114.837500</td>\n",
              "      <td>3055.51750</td>\n",
              "      <td>1765.835000</td>\n",
              "      <td>1682.667500</td>\n",
              "      <td>33785.720000</td>\n",
              "      <td>120590.21750</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>2013.0</td>\n",
              "      <td>229525.200000</td>\n",
              "      <td>21062.940000</td>\n",
              "      <td>40739.220000</td>\n",
              "      <td>38470.880000</td>\n",
              "      <td>270264.420000</td>\n",
              "      <td>37148.280000</td>\n",
              "      <td>716.400000</td>\n",
              "      <td>41521.980000</td>\n",
              "      <td>20184.62000</td>\n",
              "      <td>19707.490000</td>\n",
              "      <td>16714.450000</td>\n",
              "      <td>97789.320000</td>\n",
              "      <td>349566.14000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         year  base_earnings  ...  total_benefits  total_compensation\n",
              "count  1000.0    1000.000000  ...     1000.000000          1000.00000\n",
              "mean   2013.0   65396.772700  ...    29193.182880        100227.37101\n",
              "std       0.0   41657.581962  ...    17421.243209         61255.06275\n",
              "min    2013.0   -1685.250000  ...        4.310000            26.58000\n",
              "25%    2013.0   36948.780000  ...    18069.280000         61679.93000\n",
              "50%    2013.0   51968.880000  ...    26089.930000         80670.14500\n",
              "75%    2013.0   81544.470000  ...    33785.720000        120590.21750\n",
              "max    2013.0  229525.200000  ...    97789.320000        349566.14000\n",
              "\n",
              "[8 rows x 14 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": true,
        "id": "gwDxoR0b5p6Y",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "outputId": "470ff0d5-dee9-4b1f-c4b2-d09d44c9d197"
      },
      "source": [
        "salary.head()"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "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>year</th>\n",
              "      <th>employee_last_name</th>\n",
              "      <th>employee_first_name</th>\n",
              "      <th>employee_mi</th>\n",
              "      <th>position_title</th>\n",
              "      <th>department</th>\n",
              "      <th>base_earnings</th>\n",
              "      <th>overtime</th>\n",
              "      <th>other_earnings</th>\n",
              "      <th>leave_time_payouts</th>\n",
              "      <th>total_earnings</th>\n",
              "      <th>med_den_vis</th>\n",
              "      <th>retirement_surcharge</th>\n",
              "      <th>pension_contributions</th>\n",
              "      <th>deferred_contributons</th>\n",
              "      <th>ltd_life_med_tax</th>\n",
              "      <th>other_benefits</th>\n",
              "      <th>total_benefits</th>\n",
              "      <th>total_compensation</th>\n",
              "      <th>employee_name</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2013</td>\n",
              "      <td>ABDEL-FATAH</td>\n",
              "      <td>IBRAHIM</td>\n",
              "      <td>M</td>\n",
              "      <td>AGRICULTURAL/WEIGHTS &amp; MEASURES INSPECTOR III</td>\n",
              "      <td>Agric Comm/Wts &amp; Measures</td>\n",
              "      <td>68167.65</td>\n",
              "      <td>12323.27</td>\n",
              "      <td>2367.37</td>\n",
              "      <td>1560.56</td>\n",
              "      <td>84418.85</td>\n",
              "      <td>16595.76</td>\n",
              "      <td>0.0</td>\n",
              "      <td>11458.97</td>\n",
              "      <td>2358.99</td>\n",
              "      <td>1720.30</td>\n",
              "      <td>75.0</td>\n",
              "      <td>32209.02</td>\n",
              "      <td>116627.87</td>\n",
              "      <td>IBRAHIM ABDEL-FATAH</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2013</td>\n",
              "      <td>ABHARIAN</td>\n",
              "      <td>FAKHRI</td>\n",
              "      <td>H</td>\n",
              "      <td>AGRICULTURAL/WEIGHTS &amp; MEASURES INSPECTOR II</td>\n",
              "      <td>Agric Comm/Wts &amp; Measures</td>\n",
              "      <td>58991.54</td>\n",
              "      <td>6298.07</td>\n",
              "      <td>942.01</td>\n",
              "      <td>0.00</td>\n",
              "      <td>66231.62</td>\n",
              "      <td>15229.92</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9776.82</td>\n",
              "      <td>2043.94</td>\n",
              "      <td>1520.18</td>\n",
              "      <td>51.0</td>\n",
              "      <td>28621.86</td>\n",
              "      <td>94853.48</td>\n",
              "      <td>FAKHRI ABHARIAN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2013</td>\n",
              "      <td>ACEVEDO</td>\n",
              "      <td>IGNACIO</td>\n",
              "      <td>M</td>\n",
              "      <td>AGRICULTURAL INSPECTOR AID</td>\n",
              "      <td>Agric Comm/Wts &amp; Measures</td>\n",
              "      <td>30747.79</td>\n",
              "      <td>1511.10</td>\n",
              "      <td>1484.30</td>\n",
              "      <td>0.00</td>\n",
              "      <td>33743.19</td>\n",
              "      <td>16533.24</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5087.88</td>\n",
              "      <td>0.00</td>\n",
              "      <td>842.36</td>\n",
              "      <td>111.0</td>\n",
              "      <td>22574.48</td>\n",
              "      <td>56317.67</td>\n",
              "      <td>IGNACIO ACEVEDO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2013</td>\n",
              "      <td>ACLAN</td>\n",
              "      <td>ELVIRA</td>\n",
              "      <td>C</td>\n",
              "      <td>AGRICULTURAL/WEIGHTS &amp; MEASURES INSPECTOR II</td>\n",
              "      <td>Agric Comm/Wts &amp; Measures</td>\n",
              "      <td>61780.62</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1304.12</td>\n",
              "      <td>1414.32</td>\n",
              "      <td>64499.06</td>\n",
              "      <td>17643.24</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10867.49</td>\n",
              "      <td>1535.14</td>\n",
              "      <td>1183.91</td>\n",
              "      <td>66.0</td>\n",
              "      <td>31295.78</td>\n",
              "      <td>95794.84</td>\n",
              "      <td>ELVIRA ACLAN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2013</td>\n",
              "      <td>ADA</td>\n",
              "      <td>ERINEO</td>\n",
              "      <td>L</td>\n",
              "      <td>AGRICULTURAL/WEIGHTS &amp; MEASURES INSPECTOR II</td>\n",
              "      <td>Agric Comm/Wts &amp; Measures</td>\n",
              "      <td>61780.62</td>\n",
              "      <td>0.00</td>\n",
              "      <td>991.80</td>\n",
              "      <td>0.00</td>\n",
              "      <td>62772.42</td>\n",
              "      <td>7698.36</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10159.08</td>\n",
              "      <td>2137.99</td>\n",
              "      <td>1044.71</td>\n",
              "      <td>36.0</td>\n",
              "      <td>21076.14</td>\n",
              "      <td>83848.56</td>\n",
              "      <td>ERINEO ADA</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   year employee_last_name  ... total_compensation        employee_name\n",
              "0  2013        ABDEL-FATAH  ...          116627.87  IBRAHIM ABDEL-FATAH\n",
              "1  2013           ABHARIAN  ...           94853.48      FAKHRI ABHARIAN\n",
              "2  2013            ACEVEDO  ...           56317.67      IGNACIO ACEVEDO\n",
              "3  2013              ACLAN  ...           95794.84         ELVIRA ACLAN\n",
              "4  2013                ADA  ...           83848.56           ERINEO ADA\n",
              "\n",
              "[5 rows x 20 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H_AAxetM5p6s",
        "colab_type": "text"
      },
      "source": [
        "### Explore"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5x0CW-PD5p6t",
        "colab_type": "text"
      },
      "source": [
        "#### 1. Correlation"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": false,
        "id": "EzpeRRns5p6u",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 604
        },
        "outputId": "6016f4fd-a3f0-4682-d719-ce96ced98b16"
      },
      "source": [
        "plt.figure(figsize=(15,8))\n",
        "sns.heatmap(salary_drop.corr(), annot=True, fmt='.2f')"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f40a0d7cdd8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1080x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xWgYjaj25p6y",
        "colab_type": "text"
      },
      "source": [
        "#### 2. Jumlah Unique Position Title di setiap Department"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "53vhVLuA5p6z",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 643
        },
        "outputId": "85c7e870-1a10-4f2a-a4bb-5cf1ce0934a4"
      },
      "source": [
        "query = \"\"\"\n",
        "        SELECT\n",
        "            department,\n",
        "            COUNT(position_title_unique) AS total_position_title_unique\n",
        "        FROM\n",
        "            (SELECT\n",
        "                department,\n",
        "                MAX(position_title) AS position_title_unique\n",
        "            FROM\n",
        "                salary\n",
        "            GROUP BY\n",
        "                department,\n",
        "                position_title)\n",
        "        GROUP BY\n",
        "            department\n",
        "        ORDER BY\n",
        "            total_position_title_unique DESC\n",
        "        \"\"\"\n",
        "\n",
        "result = pandasql.sqldf(query)\n",
        "\n",
        "plt.figure(figsize=(15,10)).suptitle('Total of Unique Position Title per Department', fontsize=25, y=0.92)\n",
        "sns.set_style('dark')\n",
        "viz = sns.barplot(data=result, x='department', y='total_position_title_unique')\n",
        "viz_xlabel = viz.set_xlabel(\"Department\", fontsize=20)\n",
        "viz_ylabel = viz.set_ylabel(\"Total Unique Position Title\", fontsize=20)\n",
        "\n",
        "# Annotate axis = seaborn axis\n",
        "for p in viz.patches:\n",
        "             viz.annotate(\"%.f\" % p.get_height(), (p.get_x() + p.get_width() / 2., p.get_height()),\n",
        "                 ha='center', va='center', fontsize=20, color='black', xytext=(0, 10),\n",
        "                 textcoords='offset points')\n",
        "_ = viz.set_ylim(0,80) # To make space for the annotations    "
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA34AAAJyCAYAAACbnBLbAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nOzdebgcVZn48e8hC2FN2AJIwiI4RzYFWZQ9BBAZEBQEIyirgqCoODquICgqKos6g7j+CLgMAjMCg4OymICAIKJsCgchhiWAELKwBMhWvz+qOrdz0923+97q9L2d7+d56umuqlPVb1VXdffbdeqckGUZkiRJkqTutVKnA5AkSZIktZeJnyRJkiR1ORM/SZIkSepyJn6SJEmS1OVM/CRJkiSpy5n4SZIkSVKXM/GTBoEQwoQQQhZC6Ej/KiGEjUMIF4cQHg8hzC9imdOJWAaisg9DCBM6HYuWVcZxHkI4s1jH1BJDG9RCCFOLbT5zAOvw3JCkFZyJn4acqh8w/RmO7cfrbVf82PxEGzan40IIo4HbgGOB8cA84J/F0Mzyx1bt302bKD+9KDu5vzFraVWJQe/h5RDCwyGEySGEt3U6zka69Txr8N40M0xuYv2fKPbbdsthc1ZYVZ9b1cOCEMLzIYRHQwjXhhC+7PuQ87hc8kfXmf353SG1y/BOByD1Q72EZHVgtT7KvNKP19sO+BLwGPDtfiw/2L0PGAfMBnbNsuyhDsczEKl4nNfRKDpnATCranxd4A3FcHQI4awsy87qSGS5efS8R701e57NLNbxeLmhtc0san8ejQTWKp7PBubXKDO3eHycfJtn1ijzCWATYDpwz0ACVVNeped9CcCawNrA64EDgdNDCHcAJ2VZdl9nQhwUPC5hAvln2s3A5I5GIhVM/DTkZFm2Qa3pRTWoLzUqo5q2LR5/N8STPrIse2OnY+iw27Msm1AZCSGMBPYCvgdsAZwZQvhTlmW/7kRwWZb9ERjQe5Rl2X8C/1lORO2XZdmhtaYXVS6nFKOHZlk2tcE6ji4/MvXTL7MsO7Z6QghhTWAH8j/RjgbeBtwVQjgsy7Jrl3+IklSbVT0lrVo8vtTRKFS6LMvmZ1l2A3AIPVeUPtrBkKSuk2XZC1mWTcmy7ERgZ+AJ8iu6l4UQ3tDZ6CSph4mfVighhO1DCJeGEB4LIbwaQpgdQri9uB9h5RrlM+DiYnSTGvd4nFlVdtUQwvuK9d8TQnguhPBaCOGpEMJVIYQD2rxtG4QQvhVC+Gtxb9fLxfNvhhDWr1F+arF9xxaTjhno/ZADVd0ARQhhjRDC2SGEh0IIrxT30lwbQnhrM8vXmb9WsY8eLd7/p0MIV4QQdmi0fNV9jNMbvPamVctvWqfMyBDCKSGEKSGEmSFvSOeZEMLV7Tw+siz7G3B3MbpTjbgmFPthRnHMzgwh3BRCOC6EMKzeekMIbw0h/DyE8I9if75cnFs3hxBODyGMq/E6yzTu0uJ51mfjLq2e58UyS73HIYQdQgiXF8fIayGEaSGE80MIa9Vavp1CjcZdKvuBvDodwMW991s/XufAEMJ/Vx0Hs0MIt4QQTg751eMBxV4c/58NIdxXHCuzQwg3NHPshxC2CSH8MITw9xDCvBDCS8V6vhpCWLfOMksdKyGEw0II14cQng0hLA4DaCynnqJ653uAjPzWgzMabNOmIYRvh/xz+qViux4KIXwnhLBxnWV6H6f7hRCuC/n3zSvFur4YQhhVZ/kRIYSDi335p+L4nl/sk9+G/Dss1Fl2qfO3OM9+HkJ4MuT3O05t5bgMvT4zQwibhBB+FPJGxl4N+ef02SGE1aqW2SaE8LMQwhNFmb8X2zuiwdtS1r5u6jOhsl0UNZCAvXrvg+B9f+qULMscHLpiAM4k/7LN6sw/DVhcKQPMIb8KUhm/F9iw1zLPkN/PkQGLivHq4VNVZY+tWtfiYv0vV03LgHPrxDahUexNbPte5PcJVV7npWKojM8Cdu+1zP8U2/BKUeaVXtv23iZfu3q7N22i/PSi7OQa8yrreR/w96q4qvfja8Db66y7UmZCjXmbVr12ZT1zq54fXG/5qm2c3mC7Nm20H8h/CD1Q4xipPj4u6uf7P7VYfmqDMpcXZeb3mn5+r5hmAwurpt0ErFFjfcew9PlUufepenuObeY4p7Xz7MxG20o/zvPe7zFwZNUyc4qYKss/AKzen/ep3r6odbzWeX/PrJr2qWLfVGKb23u/tXBurAJc0eu9m9trP/4BWGsAx+bXgFuK5wtY+vNqqW2rsY5/7/UevEx+zlbGnwK2r7HckmMFOI+eY3wW+TFe9zVrrGs6dT636pS/lp7zYpUa848q5lWfP/Oqxl+gxudcr+P0lKr3aHaxXyvL/7nW+9XruKu8zy/0mnY5sFIfyx5Gzzkyl/xzemorxyVLf2YeWnVMzGXpz6BbgBHk91BWvgvmsPTxeVmD96KMfd30ZwJ5I2nP0PMdPL/3PqDJ71cHh7KHjgfg4FDWQIPEDzio6kP6KmCzYvpI4ANVX3y3AcN6Lbvkw7+P1z8E+BawG7Bq1fQNyf/1rXxpHFxj2SVfqP3Y7vFVX5h/BXarmrcH8FAx73lgoxrLT6aFHzQ1lq/sn4zyEr9ZxbbsTV4zIZBfqapsy3Rq/zCp+eMWGAbcVbXuw4HhxbytyH9YzG6wfJ/HAA0SP/J//h8s5k0hT9RXLuaNJk9WXizmf7wf78FU+k78/liUqf7h9dGqmH8AbFAV7yfo+SF5Wa91rUrPOfNTYPNe27oD8E3gX5s9zpvZx73O82W2lXLO85fJfxj+CBhftb0foecc/nJ/zpV6+6L38dbg/T2zwfl0bB/rqPtaxXuYAY+S/8Bds5g+ivwPkUeL+b8awLE5p9ivJwGjinnjWTrhrPXZeEIx70Xg81XH6LDiOLupmP8EvRLyqmOlcm6dA6xXzFsZ2KSF7ajs52U+t+qUP7lqu/buNW8/8sRhAfAN8s+OUAyRnj9p5gIbNzhO5xdlK8fpKsCH6Uly/qdGXDsD3wf2rbzPxfS1gY/R8wfMx/o4Zl8Efg28sWr+G1o5Lln6M3M2cCOwVdW2nEpPAviV4hi6rPK+kTfodnbVOvat8Rpl7euWPxPo408qB4dODB0PwMGhrIHGid/f6PnncFiN+e+s+vJ4T695lQ//6QOM71PFem6sMW9CvdibWO9F9CQ0G9SYP67qy/w/a8yfzOBL/J4FxtaYv21Vmd0aLD+h1/QjqubtU2O5VYFHGizf5zFA48Tv9MoPAGBEneXfXZR5jiIpbeE9mNroBwb5j73KP9RXFdNWIf8zIAN+UWe5U6u2aYde68vI/9FuOtZGx3mz5xmNE78yzvO65wI9V43+3p9zpd6+6H28NXh/z2xwPh3bxzrqHdt7FNP/SfGjtsay4+i5erFdP4/NDDi+xvyVyFs9zIAHes1bg54/ZPavs/7hwJ+KMp+oc6xkwHkDfL8q+7nmsVGj/K5Vr/3BXtv7cDH9xAbLX12U+XaD43Qqtf8AO6GqzE4tbmelmuojfRyzd9Y6x1o5Lln6M/MBij/DepW5tKrM9UCoUaZyJfnHNY6tsvZ1zfedBp8JmPg5DMLBe/zU9UIIbwK2LEbPzrJsUe8yWZb9L/kVEcirGbZDpSXFXUKD+6ZaUdyLcUQx+v0sy57pXSbLsifJ/+EFmFTG6y4HP8yy7NneE7Msux/4RzH6phbWV9nu27Isu6nGeueRX6FqlxOKx/OzLFtQp8xV5Fek1iW/kjFgIYTXhRA+QP7DZiWKHzfF7P3I/+WH/AdKLd8Dni6eH1k1fU7xOBJYp4xYB6rk8/zsOtOvLh63CCGsWqfMUFM5Nn+eZdkTtQoUnyFTitH9+/k6T9BzH2f1uhfTs7+3DiFsWzX7MGAM8Jcsy35bJ7aFwH/1Edti8qs9y1N1typrVz3fk7x7lZnAjxssf2nx2Gh/n13sv94uBp4snrf6mV/5nto8hNCodexv1TrHBuCCLMteqzG9+n0/J8uyrEGZ3t8Jpe7rOtO78TNBXczuHLQi2LF4XEj+z3I9N5BfydixQZmGQt6IyinA24F/Ia/G1zvJW5W8/65afXK1ajN6flTc2KDcDeT3yawTQtgsy7J/NCg7GNzZYN5TLL3dzai8p79rUKbRvH4LIWxET0MHPwkhNPqxtHrxuAmN90E9e4X6jXosAD6Z9XQbUNknT2RZ9nCtBbIsWxRC+B35PTLV58Wj5NVu3wjcGUK4iPzH1/0l/xhsRVnn+awsyx6pM++pqudr0R39Re5WPJ4QQjiyQbnRxeMmDco0MrXOj3aA35O/b8PJ35f7e8W2ZQhhmT+1qqzSR2yP1PojqUMq2zQaeKpOOyqQ/6kC9bdpIfl+W0aWZYuLBm3eT43jPISwBnmV0IPI/ywZQ34PXW/jyO9Hq+W2eoH30x/rTK/uA/OuPsr0bniprH29on0mqIuZ+GlFMLZ4nFnnH8WKyj+kYxuUqSuEsAvwf+RfohUv0XMT+TDyqzmQ3wdVRuJXHeuMBuWerHo+lp6rZoPViw3mLSweG7bi1ktlPzW7j8r0uqrnNVsfrKG//xxXd+CekTe48BRwO3k1qOoEr5l9AjXOiyIhnAT8ijwJP6cY5oUQbidvOOiS4krq8lLWed7MsQetHX+DWeX4XLMY+tLfY7PucZZl2ashhOeB9Vn6fanENqoY+htbJ5K+6j+mnq96XtmmEeTb25dV6kzv6ziv7O+ljvMQwr+Q3xdZ3eLuPHoaS6EqrtWor+x9Wu+8W3LOZVnWV5ne52RZ+3pF+0xQFzPxk0oQQhhOXt1oDHAPeSMEt1Z/UYUQNie/jwzyG8u7xStVz+t9cVar/Dh7pWGp7lF9xXfLLMseauNrLdWBeztlWXZvCOGN5FcN9ie/p2lr8kYj9gU+F0I4sKieq8GrcnyenGXZ9xuWXP4qsf0yy7KBVFPvxFXoN1c9f7TqeWWb7syy7G3LMZ6Ki8mTvunAp4HfZVm2pFpqcRtCJZmp+z3VwSv7rej0vpYGHe/x04qg8s/kuqFOH16Fyj+g/fkncxfyaiKLgIOyLLuuxr+Tje6X6K/qWMfVLbX0vLL/qa2+crlRo4JF31KVf8KfKzmORirb3Ci+RvMqP4QaXXUYXWd6dVWp/laTa4fKPml03FTPr3XP5fwsy/4ny7KTsizbFliPvArZLPIWGy8pK9gmLI/zvBtVjs92H5t1z6/i/arcK1r9viyv2NrhwOLxNeCOqullbdO6oXHfipX9vWR/hhDGk/9BA/C+LMuurE76Cu34nuqUoXz8SG1h4qcVwZ+Kx+HkzejXs2/x2Ps+gkr1l0ZX6cYXj89lWVavStO+daYPxD/oqdq3T4Nyldd+vg339/2FvFohwO59lN2Fnn9h725UsGSVY2DvBmUmNpg3u3gc2yCpqNmxfJZl0+mpdvXOBq+xvFX2ybii+tcyin//K/us3v01S2RZ9nyWZT8APlNM2j6E0GzjL82cZ40M9Dwfqga63yr3ah1UQiyN7FWvY3DylkUrNZD+VDW9EtsOIYQN2xZZyUIIOwP/WoxelmXZq1WzK9u0QQih3/eTk++vPeq8fqDnHKjen+Ornv+lznrL+p4a6HFZhrL2dX8Nhn0gLcXET10vy7L7yJt5B/hirRY1Qwj/Ss8P9//qNfuF4nEM9c0tHtcvGnjpvf5x5H0klapoLOGXxehJtVphCyG8jrzvLFh228qIYRZ5gxmVGHrfYF+JI5A3MAN5stqoMZqyVfbR7iGECb1nhhBWIa/2VM+9laLk3S7UWv60Bsv/qHg8IYSwfaNAQwitNFozEDfQc+/RmXXKnETPfTJLjp0+rqjB0tV4a7U6WEsz51ldJZznQ9WA9hvww+JxmxDCyY0KhhBW6+MqUyMbA8fUWOdK5FXjAf7Wq2rwFeT3no0Azm+QOBJCWCmE0N99UJqiVdIryT8rXibvf67aFHqq/F/Q1/7s4/PgC8X+6+0YepK8X1ZNn1v1vLoqauW11gC+2CieFgz0uCxDmfu6PwbDPpCWYuKnFUXlCsQewJUhhM0AQggjQghH0fMj8HbyZvWrPVA8rhlCOILabiX/kg/A5ZUrKCGEYSGE/enpy6odvkb+42ht4MYQQqUqDyGE3cgTrDHkydY5bYrh8+Qd2W4A3BJC2L/yJRty25E3BPKOovwZWZa93KZYavlv4M+V5yGEwyqJQQhhS+A68mqKNRXN2d9ajJ4fQti3avkdyPdxo0aBziNvqXAUMCWE8NHqK2EhhDEhhANCCJdSp6W+smVZ9go9Cd/7Qgjfr/xpEUJYNYTwMXq6fvhllmXVV2gnhRBuCyGcFEJ4fWVi1fFeOc7+kGXZbJrTzHnWl4Gc50NVZb+9p96fLo1kWXYzPd0sXBhCuKDXe7pyCOFtIYRvAo/Rz8avyJOOi0IIHyqqfFeqHv4XPVeVl0o6siybA3yiGJ0E/DqE8NZKslMke1uGEP4N+Cvtv2pZUwhhjRDChBDCD8hbpxxP/nl4eJZl1ff3Vbqf+DB59fHdyT8v9wkhjKha3+tDCB8OIdxF3kp0LfOK5X9R/LFICGFUCOFE8r5dAa7Osqy6tcwHgceL5/+v+OyqvOYu5N9TLR9DdQzouCxDifu6vyr7YOvq72WpozrdkaCDQ1kDDTpwL+afRn71odIh62zy+y8q4/cBr6uz7I1V5V4gvzF+OlUdBpN/wWRVw4vkVz4y8vvZqjuP3rTX+ic0ir2Jbd+LPPmrrP8lejpcrmzrHnWWncwAOnCvWs8hxb6pvOYC8vv/Xqmathj4coN1VMpNaFBmKvU7s667PPB68h89lTKvVu2z14CD+1h+O/Ifr5Uyr1Tt42fIq3bVfH+L5V8H/KHXvpjda501OwJuYt9X9snUfix7fq+YZhXvXWXa74A1ei1zbK+YXy3e60VV02YAb2zlOKe58+zMRttKP89zmuhAnqU7nF7mPW5xv0+oWlfd472JY37Pqu1dSN6K6/Te29HHsT2S/Kp078+vWb3e0wzYqJ/H5tfI/9TIyJOiWb3W+5UG6/hwr/ewcrzN77WOo3ot1/BYaXE7ptNz3j9TDP8k/8Mv6zXcBmzTx/rexdKfl/OLbXq117q+UO84BT5S9d7P6rU/7gHWqfG6B7H0+f1y1Ta8RH7LQM1jhRa+p5o5LmnifGrmNenj3C1jX/fnM4G8Ou5DVfNn0fOZ9p6BHpMODv0ZvOKnFUaWZReQ92n0M/LOhFcl/xK/g/zH4k5Zlj1VZ/H3ABcAD5NXO9qkGJZU4cjyFvEOJP+h8xL5h/4M4D/Iq9W0rXXDLP/XfkvyK0sPkl/ND8Xzc8lbk2zrlaQsy64m7yz3LPIE5wXyBk/mk/8bfxHw5izLzmhnHA3im0aevJ1Pfm9kIP/ivxLYNcuya/pY/h7yaoKXkTeYsBL5j4cLi/X+rf7SUBxbu5N3HH4Necfoq5L/6J4O/C/51Y09+7N9/ZVl2SfJ72/8b/IfsquT/+ifAhwP7Jct21DRNcDR5FeK7iVPXkcXy/0ROB3YOmu9BdM+z7Mmtmcg5/mQk2XZLeSfOzeS/5GxPj37rdl1zM+y7EPkDX9MJm+Fchj5sfAs+Wfal4E3ZfXvYe7LfPKk4vNAAlYmP25uAg7Msuz0BvF9H4jkn2X3kieBY8g/Z/9E/hm7H8un+u4o8n28Pnkti9eAaeQdn38F2C7Lst2yLHug/iogy7KrgC3IPy//SL4tY4r13Uve4fi7gW81WMeF5C3q/oY8yVpMnmicAeySZdnzNZa5lvwz5tfkx8tw8s+xi4Edsiy7qZmd0JcyjsuylLGv+/m6C8mP+R+Tf+esRs8+WL3BolLbhCzLOh2DJA0Koafz872zno7OJfVTyDsS3ws4K8uyMzsbzdAXQjiWPEl7LMuyTTsbjaShxit+kiRJktTlTPwkSZIkqcuZ+EmSJElSlzPxkyRJkqQuZ+MukiRJktTlhnc6gBjjacAHyfs4uR84DtiQvMn0dYC7gQ+klOZ3LEhJkiRJGsI6WtUzxrgR8DFgx5TSNuT9Bk0CvgFckFLagrzz3RM6F6UkSZIkDW2D4R6/4cAqMcbh5B3tPk3emfCVxfxLgHd1KDZJkiRJGvI6WtUzpTQjxngu8DjwCnA9edXOOSmlhUWxJ4GN+lrX4sWLs0WLvF9RkiRJ0oppxIhhM4H1as3raOIXY1wLOATYDJgDXAG8oz/rWrQoY86ceSVGJ0mSJElDx3rrrfFYvXmdruq5L/CPlNJzKaUFwP8AuwFjiqqfAOOAGZ0KUJIkSZKGuk636vk48LYY46rkVT33Af4ETAHeQ96y5zHA1R2LUJIkSZKGuI5e8Usp3UneiMufybtyWAn4IfAZ4JMxxkfIu3T4SceClCRJkqQhrms6cF+wYFHmPX6SJEmSVlTrrbfG3cCOteZ1+h4/SZIkSVKbmfhJkiRJUpcz8ZMkSZKkLmfiJ0mSJEldzsRPkiRJkrqciZ8kSZIkdTkTP0mSJEnqciZ+kiRJktTlTPwkSZIkqcuZ+EmSJElSlzPxkyRJkqQuZ+InSZIkSV3OxE+SJEmSupyJnyRJkiR1ORM/SZIkSepyJn6SJEmS1OVM/CRJkiSpy5n4SZIkSVKXM/GTJEmSpC5n4idJkiRJXc7ET5IkSZK6nImfJEmSJHU5Ez9JkiRJ6nImfpIkSZLU5Uz8JEmSJKnLmfhJkiRJUpcz8ZMkSZKkLmfiJ0mSJEldzsRPkiRJkrqciZ8kSZIkdTkTP0mSJEnqciZ+kiRJktTlTPwkSZIkqcuZ+EmSJElSlzPxkyRJkqQuZ+InSZIkSV3OxE+SJEmSupyJnyRJkiR1ORM/SZIkSepyJn6SJEmS1OVM/CRJkiSpy5n4SZIkSVKXM/GTJEmSpC5n4idJkiRJXc7ET5IkSZK6nImfJEmSJHU5Ez9JkiRJ6nImfpIkSZLU5Uz8JEmSJKnLmfhJkiRJUpcz8ZMkSZKkLmfiJ0mSJEldzsRPkiRJkrqciZ8kSZIkdTkTP0mSJEnqciZ+kiRJktTlTPwkSZIkqcuZ+EmSJElSlzPxkyRJkqQuN7yTLx5jjMAvqya9HjgDuLSYvikwHTgipTR7eccnSZIkSd2go1f8Um67lNJ2wA7APOBXwGeBm1JKbwBuKsYlSZIkSf0wmKp67gM8mlJ6DDgEuKSYfgnwro5FJUmSJElD3GBK/CYB/1U8Xz+l9HTx/Blg/c6EJEmSJElD36BI/GKMI4GDgSt6z0spZUC23IOSJEmSpC4xKBI/4ADgzymlfxbj/4wxbghQPD7bscgkSZIkaYgbLInf++ip5glwDXBM8fwY4OrlHpFacsstUznmmCPZeustGDduXbbd9l844oh3ceONv11S5tRTP8zYsWs2HA477J0d3ApJkiSpO3W0OweAGONqwH7ASVWTzwEujzGeADwGHNGJ2NScs846nQsv/A6ve91GvOMd/8raa6/D88/P5N577+G2225l3333B+CAAw5i/PiNa67jiisu47HHpjNx4n7LM3RJkiRphRCyrDtun1uwYFE2Z868ToexwvnpTyfzb//2Md773iM577zvMnLkyKXmL1iwgBEjRjRcx9y5c3jTmyKLFi3i3nsT66yzTjtDliRJkrrSeuutcTewY615g6Wqp4ag1157ja9//cuMGze+ZtIH9Jn0QX6175VXXuHAA99p0idJkiS1Qceremrouvnm3zFz5kxOOukUVlppJW644Tc8+OCDjBq1MttvvwM77fTWptbz05/mXTZ+4APHtTNcSZIkaYVl4qd++8tf/gzAyiuPYp99dufBB/+21PxddtmNn/zkp6y77rp113HXXXfy4IN/ZfPNt2D33fdsa7ySJEnSisqqnuq3mTNnAnDhhd8BAtdc81umTXuKqVP/wIQJE/nDH27jgx88uuE6fvrTyQC8//3HtjdYSZIkaQVm4qd+W7x4MQDDhw/npz+9jLe9bRdWX311ttpqayZP/gWve91G3H77rdx11501l3/hhblcc82vGDlyJJMmHbU8Q5ckSZJWKCZ+6rfRo0cDsM02b2LjjTdZat6qq67K3nvvA8Bf/nJ3zeWvuOKXzJs3z0ZdJEmSpDYz8VO/bbHFG4CeBLC30aPHAPDqq6/WnP+zn+WNuhx99PFtiE6SJElShYmf+m2PPfYihMDDD6cl1T6rPfRQ3thL76uBAHfffRd//ev9bL75Fuy22x5tj1WSJElakZn4qd/Gj9+Y/fc/gCeffIIf/vB7S82bMuUmpky5idGjxzBx4r7LLFtp1MUuHCRJkqT2C1mWdTqGUixYsCibM2dep8NY4Tz11AwOPHA/Zsx4kj32mMC2276Jxx9/jOuuu5YQAj/4wcW8852HLLXMiy++wLbbRhYtWsg99zzk/X2SJElSCdZbb427gR1rzbMfPw3I6163ETfccAvnnXcOv/3tddxxx22sscYavP3tB/Dxj3+St7xl2ePuyisvZ968l3n3uw8z6ZMkSZKWA6/4SZIkSVIXaHTFz3v8JEmSJKnLmfhJkiRJUpcz8ZMkSZKkLmfjLg2svuYoVll5RKfDkJbxymsLeOmFVzsdhiRJkoYIE78GVll5BDt8+tJOhyEt4+5vHc1LmPhJkiSpOVb1lCRJkqQuZ+InSZIkSV3OxE+SJEmSupyJnyRJkiR1ORM/SZIkSepyJn6SJEmS1OVM/CRJkiSpy5n4SZIkSVKXM/GTJEmSpC5n4idJkiRJXc7ET5IkSZK6nImfJEmSJHU5Ez9JkiRJ6nImfpIkSZLU5Uz8JEmSJKnLmfhJkiRJUpcz8ZMkSZKkLmfiJ0mSJEldzsRPkiRJkrqciZ8kSZIkdTkTP0mSJEnqciZ+kiRJktTlTPwkSZIkqcuZ+EmSJElSlzPxkyRJkqQuZ+InSZIkSV3OxE+SJEmSupyJnyRJkiR1ORM/SZIkSepyJn6SJEmS1OVM/CRJkiSpy5n4SZIkSVKXM/GTJEmSpC5n4idJkiRJXc7ET5IkSZK6nImfJEmSJHU5Ez9JkiRJ6nImfpIkSZLU5Uz8JEmSJKnLmfhJkiRJUpcz8ZMkSZKkLmfiJ0mSJEldbninA4gxjgF+DGwDZMDxQAJ+CUtHr8IAACAASURBVGwKTAeOSCnN7lCIkiRJkjSkDYYrft8BfpNSeiPwZuBB4LPATSmlNwA3FeOSJEmSpH7oaOIXYxwN7An8BCClND+lNAc4BLikKHYJ8K7ORChJkiRJQ1+nq3puBjwHXBxjfDNwN/BxYP2U0tNFmWeA9TsUnyRJkiQNeZ2u6jkceAtwUUppe+BlelXrTCll5Pf+SZIkSZL6odOJ35PAkymlO4vxK8kTwX/GGDcEKB6f7VB8kiRJkjTkdTTxSyk9AzwRY4zFpH2AvwHXAMcU044Bru5AeJIkSZLUFTp9jx/AqcDPY4wjgWnAceQJ6eUxxhOAx4AjOhifJEmSJA1pHU/8Ukr3ADvWmLXP8o5FkiRJkrpRp+/xkyRJkiS1mYmfJEmSJHU5Ez9JkiRJ6nImfpIkSZLU5Vpu3CXGOIK84ZUtgdVTSl8ppo8C1gRmppQWlxqlJEmSJKnfWrriF2N8BzAd+DVwHnBm1eztgKeB95YUmyRJkiSpBE0nfjHGHYGrgAw4DfhF9fyU0h3AP4B3lxmgJEmSJGlgWrnidzowD9gxpfRd4O81ytwFvLmMwCRJkiRJ5Wgl8dsNuCql9EyDMk8AGw4sJEmSJElSmVpJ/FYHZvZRZtUW1ylJkiRJarNWkrQZwNZ9lNkOmNb/cCRJkiRJZWsl8bsO2D/GuHutmTHGA4BdgWvLCEySJEmSVI5W+vH7OjAJuD7G+B/ApgAxxgOBPYGPkHfncH7JMUqSJEmSBqDpxC+lNCPG+HbgcuDTVbOuAQLwKHBoSqmv+wAlSZIkSctRK1f8SCn9OcYYgQOBXYB1gLnAHcDVKaWF5YcoSZIkSRqIlhI/gJTSIvKrfNeUH44kSZIkqWx2vSBJkiRJXa7uFb8Y49H9XWlK6dL+LitJkiRJKlejqp6TgazF9YViGRM/SZIkSRokGiV+xy23KCRJkiRJbVM38UspXbI8A5EkSZIktUfTjbvEGPeMMW7cR5nxMcY9Bx6WJEmSJKksrbTqOQU4to8yRxflJEmSJEmDRCuJX2iyTKsNwkiSJEmS2qjsfvw2AV4seZ2SJEmSpAFo1KonMcYzek2aEGOsVXQYsDEwCbi1nNAkSZIkSWVomPgBZ1Y9z4AJxVDPDOCzA4pIkiRJklSqvhK/vYvHAPyOvFP3Wt08LAKeB1JKaXFp0UmSJEmSBqxh4pdSurnyPMZ4CXBV9TRJkiRJ0uDX1xW/JVJKx7UzEEmSJElSe5TdqqckSZIkaZCpe8UvxrgYWAxslVJ6uBhvpo++LKXU9JVESZIkSVJ7NUrQbiFP9Ob1GpckSZIkDSF1E7+U0oRG45IkSZKkoaHhPX4xxkUxxtOXVzCSJEmSpPL11bhLKAZJkiRJ0hBlq56SJEmS1OVM/CRJkiSpy5n4SZIkSVKXa6a/vWNjjBNaWGeWUtqnn/FIkiRJkkrWTOK3aTE0y77+JEmSJGkQaSbxmwxc0uY4JEmSJElt0kziNz2ldHPbI5EkSZIktYWNu0iSJElSlzPxkyRJkqQuZ+InSZIkSV2ur3v8jgPuWR6BSJIkSZLao2Hil1KyNU9JkiRJGuKs6ilJkiRJXc7ET5IkSZK6nImfJEmSJHU5Ez9JkiRJ6nImfpIkSZLU5Uz8JEmSJKnL9dWP3zJijDsCOwNrAcNqFMlSSl8ZaGCSJEmSpHI0nfjFGNcE/gfYGwgNimaAiZ8kSZIkDRKtXPH7FjAR+D1wMfAEsLAdQUmSJEmSytNK4ncI8Gdg75TS4jbFI0mSJEkqWSuNu4wGppj0SZIkSdLQ0soVv78D65cdQIxxOvAisAhYmFLaMca4NvBLYFNgOnBESml22a8tSZIkSSuCVq74XQi8M8a4URvi2DultF1Kacdi/LPATSmlNwA3FeOSJEmSpH5o5YrfdeSNu9wWYzwLuBuYU6tgSunxAcZ1CDCheH4JMBX4zADXKUmSJEkrpFYSv+nkXTUE4McNymUtrjcDro8xZsAPUko/BNZPKT1dzH+GNlQxlSRJkqQVRSsJ2qXkSVrZdk8pzYgxjgVuiDE+VD0zpZQVSaEkSZIkqR+aTvxSSse2I4CU0ozi8dkY46+AnYF/xhg3TCk9HWPcEHi2Ha8tSZIkSSuCVhp3KV2McbUY4xqV58DbgQeAa4BjimLHAFd3JkJJkiRJGvpaqeq5RIxxHLA9MAaYC/w5pfRkP1a1PvCrGGMlll+klH4TY7wLuDzGeALwGHBEf+KUJEmSJLWY+MUYNwF+AOxXY94NwIdTStObXV9KaRrw5hrTnwf2aSU2SZIkSVJtTSd+McYNgFuBjchb+LwFeBrYENiDvJrmrTHGHVNKz5QfqiRJkiSpP1q54nc6edL3GeD8lNKiyowY4zDgNOCbwBeBj5YZpCRJkiSp/1pJ/A4Erk8pfav3jCIJPDfGuC9wECZ+kiRJkjRotNKq5wbA3X2UubsoJ0mSJEkaJFpJ/OYCm/RRZuOinCRJkiRpkGgl8bsVeE+McddaM2OMbwUOL8pJkiRJkgaJVu7x+yr5fX43xxgvA6aQt+q5ATABeB+wGPhayTFKkiRJkgag6cQvpfTnGON7gEuAo4Ajq2YHYBZwfEqpr/sAJUmSJEnLUUsduKeUro0xbgwcArwFGE1+T99fgKtSSi+XH6IkSZIkaSBaSvwAiuTuF8UgSZIkSRrkWmncRZIkSZI0BNW94hdjPLp4+quU0otV431KKV064MgkSZIkSaVoVNVzMpABdwAvVo03EooyJn6SJEmSNEg0SvyOJ0/ini7Gj2t/OJIkSZKkstVN/FJKk3uNX9L2aCRJkiRJpWu6cZcY455FVw6NyoyPMe458LAkSZIkSWVppVXPKcCxfZQ5uignSZIkSRokWkn8QpNl+moARpIkSZK0HJXdj98m5C2ASpIkSZIGiUatehJjPKPXpAkxxlpFhwEbA5OAW8sJTZIkSZJUhoaJH3Bm1fMMmFAM9cwAPjugiCRJkiRJpeor8du7eAzA78g7ca/VrcMi4HkgpZQWlxadJEmSJGnAGiZ+KaWbK89jjJcAV1VPkyRJkiQNfn1d8VsipXRcOwORJEmSJLVH2a16SpIG6IorLmPs2DUZO3ZNfvazpWvX/+1vf+W00z7KxIm7s+WWmzFu3Lpst92WHHbYwVx77TVkmT3qSJKkZdW94hdjXAwsBrZKKT1cjDfziyJLKTV9JVGS1GPGjCf53Oc+zWqrrc7LL7+0zPz77ruH6667lh122ImddtqZNdcczbPP/pPrr7+O449/P4cfPokLL/xhByKXJEmDWaME7RbyRG9er3FJUhtkWcbHPnYKa621FgceeDDf+953lynz7ne/h0mTjlpm+osvvsABB+zDFVdcxgknnMhb3rLj8ghZkiQNEXUTv5TShEbjkqRy/ehHF3HrrTdz1VX/x+9/X7sdrZVXXrnm9DXWWJO9996Hhx9OTJv2qImfJElaivf4SdIg8PDDibPPPpMTTzyZXXbZreXl582bx+9/fwsAW265dbnBSZKkIW/A9+LFGNcB9iSvEnpjSmnRgKOSpBXIwoUL+chHTmSjjcbx+c9/qallpk17lCuv/CWLFy/iueee44YbfsszzzzNxz/+b2y99TZtjliSJA01TSd+McaTgWOBA1JKs4ppOwC/AdYuiv0pxjgxpfRy2YFKUrc699xzuP/+e/nf//0tq6yySlPLTJ8+jXPPPWfJ+MiRI/nSl87mlFNObVeYkiRpCGulqud7yVvsnFU17VvAWsDFwP8BOwEfLi88Sepud999F9/5znmcfPKp7LTTW5tebuLE/Xj22ReYMeN57rzzHj7xiU/xta+dxQc+8F7mz5/fxoglSdJQ1Eri9wbgvspIjHFdYC/gJymlD6aU3gncBRxZboiS1J0WLlzIRz96EptvvgWf/ewX+7WOESNGsNlmr+dTn/osn/nMF7j++t/wox99v+RIJUnSUNdK4rcO8GzVeKX1gV9VTfs9sMlAg5KkFcHLL7/Eo48+wsMPJ8aPX29Jp+1jx665pBrnJz95KmPHrskXv/iZPtc3ceJ+ANx+++/bGrckSRp6WmncZRawbtX4XuQdvN9eNS0DRpUQlyR1vZEjV+aoo46uOe++++7l/vvv5a1v3YUttngDO+64c5/re+aZpwAYNmzA7XZJkqQu08qvgweBd8YYvwAsAiYBd6WUXqgqsynwTHnhSVL3WmWVVbjggv+sOe+b3/wa999/L+9975G8//3HLJl+zz1/Zrvt3rJM+ZkzZ/KVr5wJwH777d+WeCVJ0tDVSuL3HeAq4ElgIbAq8O+9yrwN+GM5oUmSejvttFOZPXsW22+/A+PGjWOllYbxxBOPc9NN1/PKK69wwAEHceSRH+h0mJIkaZBpOvFLKV0TY/wwcGIx6ecppZ9V5scYJwCrA78tNUJJ0hKnnHIq1133a+67716mTLmJBQvms/ba67D77nty+OGTOOSQQwkhdDpMSZI0yIQsyzodQykWLFiUzZkzr9R1rrfeGuzw6UtLXadUhru/dTTPPfdip8OQJEnSILLeemvcDexYa14rrXpKkiRJkoaglpt+izG+DfggsD0wBpgL3A1cnFK6vdGykiRJkqTlr6UrfjHGs4HbgOPJE7/NgO2AE4Dfxxi/VnqEkiRJkqQBafqKX4zxcODzwGPAV4DfAU8DGwITgdOBz8QY70kpXd6GWCUNMWuPHsGwkXbtqcFn0fxXmTV3QafDkCRpuWmlquepwD+BnVJKM6umTwf+X4zxGuAB4COAiZ8kho0cxeNf3rbTYUjL2PiM+wETP0nSiqOVqp5vBq7slfQtUUy/grzqpyRJkiRpkGgl8RsO9NVfwjz60WCMJEmSJKl9Wkn8HgUOijHWXKaY/q9FOUmSJEnSINFK4vcLYEvg6hjjG6pnxBg3B64EtirKSZIkSZIGiVaqZZ4PvAM4EDggxvgUeaueGwAbkSeRtxblJEmSJEmDRNNX/FJK84H9gC8A/wDGATsB44vxLwD7FOUkSZIkSYNESw2xpJQWAF8Hvh5jXB0YDcxNKb3UjuAkSZIkSQPXZ+IXY9wM+CKwM5ABdwBfTSk9BpjwSZIkSdIg1zDxizFuRJ7orQuEYvI2wMExxh1SSjPaHJ8kSZIkaYD6usfvc8B6wO+A9wKTgCnA2GKeJEmSJGmQ66uq537Aw8A7UkqLAGKM/w38DXh7m2OTJEmSJJWgryt+44HrK0kfQPH8t8U8SZIkSdIg11fiNwqYWWP688DI8sORJEmSJJWt6X78JEmSJElDUzP9+E2IMS4zDSDGeDo9rX1WZCmlrww8NEmSJElSGZpK/IqhlrOqnmfkSWAGtJT4xRiHAX8CZqSUDir6DrwMWAe4G/hASml+K+uUJEmSJOX6SvzO6mN+WT4OPAisWYx/A7ggpXRZjPH7wAnARcspFkmSJEnqKg0Tv5RS2xO/GOM44EDgq8AnY4wBmAgcWRS5BDgTEz9JkiRJ6pfB0LjLt4F/BxYX4+sAc1JKC4vxJ4GNOhGYJEmSJHWDjiZ+McaDgGdTSnd3Mg5JkiRJ6madvuK3G3BwjHE6eWMuE4HvAGNijJVqqOOAGR2JTpIkSZK6QEcTv5TS51JK41JKmwKTgN+llI4CpgDvKYodA1zdoRAlSZIkacjr9BW/ej5D3tDLI+T3/P2kw/FIkiRJ0pDVTD9+y0VKaSowtXg+Ddi5k/FIkiRJUrcYrFf8JEmSJEklMfGTJEmSpC7XUlXPGONKwEeAo4AtgdVSSsOLedsDHwK+nVJ6uOxAJUmSJEn90/QVvxjjSOAG8g7XNwdeBEJVkX8Ax5MnhZIkSZKkQaKVqp6fBvYGzgLWB35cPTOlNAe4Bdi/tOgkSZIkSQPWSuJ3FHBbSunLKaXFQFajzD+AjUuJTJIkSZJUilYSv82AO/ooMwtYu//hSJIkSZLK1kri9yowpo8yGwNz+h+OJEmSJKlsrSR+9wBvLxp5WUaMcTT5/X1/LCMwSZIkSVI5Wkn8fgiMB34eY1yzekaMcQwwGVgL+H5p0UmSJEmSBqzpxC+l9F/kyd1hwHPAyQAxxj8BTwOHAN9LKf1f+WFKkiRJkvqrlSt+pJSOJ++r72/AeuT9+L0FeAQ4IaV0aukRSpIkSZIGZHirC6SUJgOTY4yrkFftnJtSernswCRJkiRJ5Wg58atIKb0CvFJiLJIkSZKkNmipqqckSZIkaehp+opfjHFak0WzlNLm/YxHkiRJklSyVqp6rgRkNaaPAUYXz58CFgw0KEmSJElSeZpO/FJKm9abF2PcAvgusBp5J+6SJEmSpEGilHv8UkqPAIcCGwFfKmOdkiRJkqRylNa4S0rpVeAG4H1lrVOSJEmSNHBlt+q5ENig5HVKkiRJkgagtMQvxrgu8G7gibLWKUmSJEkauFa6czijwTrGA4eQt+75uRLikiRJkiSVpJXuHM7sY/4LwNkppW/2PxxJkiRJUtlaSfz2rjN9MTAbeCiltHDgIUmSJEmSytRKP343tzMQSZIkSVJ7lN2qpyRJkiRpkGmlcZeN+/siKaXH+7usJEmSJGlgWrnHbzqQ9eM1shZfR5IkSZJUolYSskuBTYE9gbnAPcAz5B22b0felcPN5AmiJEmSJGmQaCXx+zrwB+AC4KyU0guVGTHGNYGzgKOBk1JKD5capSRJkiSp31pJ/M4B7k8p/VvvGUUSeFqMcYei3KElxSdJktTQl798Bvfe+xceffQRZs16nlGjRjFu3MYccMCBnHDCiay99jpLyk6b9gjXXvu/TJ16E9OmPcpzzz3L6NFj2HHHnTjxxFPYffc9O7glktQ+rbTquSdwax9lbgX26n84kiRJrfnBDy5k3ryX2WuvvfnQh07msMOOYPjwYXzrW19nwoRdmTHjySVlzznnbM4++0s899yz7LPP2zn55FPZeee3ccMNv+XQQw/iRz+6qINbIknt08oVv5XJ7+drZMOinCRJ0nLx6KMzGDVq1DLTv/a1L/Ptb5/Ld75zHt/85gUATJy4H6eeehrbbvvmpcrefvutHH74IZx11ukcfPC7WX/9vn7ySNLQ0soVv78Ak2KM29eaWVTzfC/w5zICkyRJakatpA/g4IPfDcC0adOWTJs06ahlkj6AXXfdnV133Z358+fzxz/e2Z5AJamDWrnidxbwG+COGOPPgVuAfwLrk1fvPJI8kTyr7CAlSZJadf311wGw1VZbN1V+xIgRAAwfbi9UkrpP059sKaUbY4yTgB8AxwLHVM0OwGzgxJTSTaVGKEmS1IQLL/wuL7/8Ei+++AL33PMX7rzzD2y11TZ87GOf7HPZJ554nN///mZWXXVVdtll1+UQrSQtXy39pZVSujLGeB1wCPAW8r775pJX77w6pfRy+SFKkiT17Xvf+y7PPffskvGJE/flu9/9Puuuu27D5V577TVOPvmDvPbaa5xxxlcYM2atdocqSctdy3UZiuTuF8UgSZI0KPz1r48A8Oyzz3LXXXdy9tlfYp99dufnP7+cN71pu5rLLFq0iI985ET++Mc7eNe7DuUjH/nY8gxZkpabVhp3kSRJGvTGjh3LgQe+k8svv4rZs2fx0Y+eVLPcokWLOOWUD3LNNb/ikEMO5Xvf+zEhhOUcrSQtH3Wv+MUYjy6e/iql9GLVeJ9SSpcOODJJkqQBGD9+Y/7lX97IAw/cx/PPP8866/R05L5gwQJOPjlP+g499HAuvPCHDBs2rIPRSlJ7NarqORnIgDuAF6vGGwlFGRM/SZLUcc888zQAw4b1VHKaP38+H/zgMfzmN7/miCPex3e/exErrWQlKEndrVHidzx5Evd0MX5c+8ORJElq3qOP/p311hvLmmuOXmr64sWLOeecs5k58zl22umtSxpsee211zjuuKO48cbrOeqooznvvO+a9ElaIdRN/FJKk3uNX9L2aCRJklpw443X89WvnsXOO+/CJptswlprrc1zzz3L7bffymOPTWfs2PU5//z/WFL+05/+BDfeeD3rrLMOG2ywIeeee84y69xttz3Ybbc9ludmSFLb2UOpJEkasvbcc2/+8Y9p3HnnHTzwwL3MnTuXVVddjc0335zDD5/Ehz70YdZaa+0l5R9//DEAnn/+ec477xt112viJ6nbmPhJkqQha8stt+Kcc85ruvxVV/1fG6ORpMGrpcQvxrgX8GlgZ2AtancHkaWUTCglSZIkaZBoOkGLMR4IXAUMAx4HErCwTXFJkiRJkkrSypW5M4EFwIEppevbE44kSapYffQIVhk5qtNhSDW9Mv9VXpq7oNNhSGpSK4nfNsBlJn2SJC0fq4wcxW7/sVunw5Bquu3U23gJEz9pqGil45qXgFntCkSSJEmS1B6tJH43Abu0KxBJkiRJUnu0kvh9Btg8xvjFGGNoV0CSJEmSpHK1co/fl4C/AmcBx8cY7wHm1CiXpZROKCM4SZIkSdLAtZL4HVv1fNNiqCUDTPwkSZIkaZBoJfHbrG1RSJIkSZLapunEL6X0WDsDkSRJkiS1RyuNu0iSJEmShqCGV/xijHv2sfxi8gZeUkrJHjwlSZIkaRDqq6rnVPLGWvryWozxF8CnUkq1WvqsKcY4CrgFWLmI5cqU0pdijJsBlwHrAHcDH0gpzW92vZIkSZKkHn1V9bylj+FW4CHypO144JYY4yotvP5rwMSU0puB7YB3xBjfBnwDuCCltAUwG1sJlSRJkqR+a3jFL6U0oZmVxBjXBs4FjgE+Rp649SmllAEvFaMjiiEDJgJHFtMvAc4ELmpmnZIkSZKkpZXSuEtKaRb5VbkEHNrKsjHGYUVn8M8CNwCPAnNSSguLIk8CG5URpyRJkiStiEpr1bO4encDEFtcblFKaTtgHLAz8MayYpIkSZIkld+dwwtAK/f4LVE0CjMF2AUYE2OsVEMdB8woJzxJkiRJWvGUnfhtAjzfbOEY43oxxjHF81WA/YAHyRPA9xTFjgGuLjlOSZIkSVphlJb4xRg3Ag4B7mphsQ2BKTHG+4rlbkgpXQt8BvhkjPER8i4dflJWnJIkSZK0oumrA/eN+1h+JfLEbBfg08DqwPebffGU0n3A9jWmTyO/30+SJEmSNEB9deA+neY6cAcIwDdSStcNKCJJkiRJUqn6Svwep3HitxiYC9wLTE4p3VxWYJIkSZKkcvTVgfumyykOSZIkSVKblN2qpyRJkiRpkDHxkyRJkqQuZ+InSZIkSV3OxE+SJEmSupyJnyRJkiR1ORM/SZIkSepyJn6SJEmS1OVM/CRJkiSpy9XtwD3GuHF/V5pSery/y0qSJEmSylU38QOmA1k/1pn1sV5JkiRJ0nLUKEG7lP4lfpIkSZKkQaRu4pdSOnY5xiFJkiRJahMbd5EkSZKkLmfiJ0mSJEldruVGWGKMOwH7AxsBK9cokqWUThhoYJIkSZKkcjSd+MUYAzAZeD8QyBt+CVVFsqrpJn6SJEmSNEi0UtXzo8AHgJ8CO5Ined8GdgU+D7wIXAa8vuQYJUmSJEkD0EpVz2P+f3v3HS9HXe9//AVBDYJKqDYgivCRjlIUQQhiRwSRInIVFFEURK4/uaJyaaJyAZEiKBaaDVAUUa+CIFioonTkQw0XkF4SitKS3x/f74bNZvfk7MlJ9mR4PR+P89izM7Mz39md9p7vd2aAbN3tMyIAHs7Mi4GLI+Is4GLg98AJo1xOSZIkSdII9VPj91rgDx3dZgTHzLwc+DXwqVEolyRJkiRplPR7V88pbf8/Bize0f9GSkCUJEmSJI0R/QS/Oyl38my5BVi7Y5gVKYFQkiRJkjRG9HON36XMHPR+C+wVEf8N/ByYBGxBae4pSZIkSRoj+qnxOx0YFxGvqu8PAW4DDgCuAo4GHgb2HtUSSpIkSZLmyLBr/DLzDOCMtvcPRsTrgF2AFYDJwMmZeddoF1KSJEmSNHL9NPWcRWZOAQ4bpbJIkiRJkuaCYTf1jIjjI+K9sxnmPRFx/JwXS5IkSZI0Wvq5xm8nYK3ZDLMm5UHvkiRJkqQxot/n+M3OC4BnRnmckiRJkqQ50G/wm96rR0S8ANgIuHuOSiRJkiRJGlVD3twlIm7p6PSfEfGRLoOOA5ai1Ph9e5TKJkmSJEkaBbO7q+eCPFvLNx1YoP51egq4GjgXOGjUSidJkiRJmmNDBr/MnNj6PyKmAd/IzAPndqEkSZIkSaOnn+f4bUJ5SLskSZIkaT4y7OCXmX9sfx8RLwIWA6Zk5tTRLpgkSZIkaXT0U+NHRCwEfA74GPCqtu63At8DDsvMp0e1hJIkSZKkOTLsxzlExPOBs4GvABOB24FL6+vE2v2cOpwkSZIkaYzo5zl+nwUmAb8BVs7MiZm5fr0BTAC/At5ch5MkSZIkjRH9BL8PAtcAW2bmje09MvNmYCvgWmCH0SueJEmSJGlO9RP8XgP8NjOndetZu/8WWGE0CiZJkiRJGh39BL8ngUVnM8wilIe5S5IkSZLGiH6C31XA1hGxVLeeEbEksDVw5WgUTJIkSZI0OoZ8nENEfBi4IjOvAr4JnAJcGhEHAecBdwEvpdz0ZR9gKWCPuVlgSZIkSVJ/ZlfjdyKwJUBmngYcDCwPfAe4EXgUuInyDL9XAYfW4SRJkiRJY0Q/TT3JzC8CbwKOBy4HbqmvxwMbZObeo15CSZIkSdIcGbKpZzeZeTFw8VwoiyRJkiRpLuirxk+SJEmSNP8ZTo3fYhGxXD8jzcz/G2F5JEmSJEmjbDjB7zP1b7imD3O8kiRJkqR5YDgBbSrw8NwuiCRJkiRp7hhO8PtGZh4410siSZIkSZorvLmLJEmSJDWcwU+SJEmSGs7gJ0mSJEkNZ/CTJEmSpIYb8uYumWkwlCRJkqT5nMFOkiRJkhpuoA9aj4hlgZOBZSgPfv9OZh4ZEYsDpwITgcnAtpn50KDKKUmSJEnzs0HX+D0N/L/MXAV4I7BbRKwC7A2cm5krAufWMWRGFQAAHQ5JREFU95IkSZKkERho8MvMuzLz7/X/R4B/AK8AtgBOqoOdBGw5mBJKkiRJ0vxv0DV+M0TEROB1wCXAMpl5V+11N6UpqCRJkiRpBMZE8IuIRYHTgT0zc2p7v8ycTrn+T5IkSZI0AgMPfhHxPEro+1Fm/rx2viciXlb7vwy4d1DlkyRJkqT53UCDX0QsAHwf+EdmHt7W60xgx/r/jsAv53XZJEmSJKkpBvo4B2AD4EPA1RFxRe32ReBg4LSI2Bm4Ddh2QOWTJEmSpPneQINfZv4FWKBH703nZVkkSZIkqakGfo2fJEmSJGnuMvhJkiRJUsMZ/CRJkiSp4Qx+kiRJktRwBj9JkiRJajiDnyRJkiQ1nMFPkiRJkhrO4CdJkiRJDWfwkyRJkqSGM/hJkiRJUsMZ/CRJkiSp4Qx+kiRJktRwBj9JkiRJajiDnyRJkiQ1nMFPkiRJkhrO4CdJkiRJDWfwkyRJkqSGM/hJkiRJUsMZ/CRJkiSp4Qx+kiRJktRwBj9JkiRJajiDnyRJkiQ1nMFPkiRJkhrO4CdJkiRJDWfwkyRJkqSGM/hJkiRJUsMZ/CRJkiSp4Qx+kiRJktRwBj9JkiRJajiDnyRJkiQ1nMFPkiRJkhrO4CdJkiRJDWfwkyRJkqSGM/hJkiRJUsMZ/CRJkiSp4Qx+kiRJktRwBj9JkiRJajiDnyRJkiQ1nMFPkiRJkhrO4CdJkiRJDWfwkyRJkqSGM/hJkiRJUsMZ/CRJkiSp4Qx+kiRJktRwBj9JkiRJajiDnyRJkiQ1nMFPkiRJkhrO4CdJkiRJDWfwkyRJkqSGM/hJkiRJUsMZ/CRJkiSp4Qx+kiRJktRwBj9JkiRJajiDnyRJkiQ1nMFPkiRJkhrO4CdJkiRJDWfwkyRJkqSGM/hJkiRJUsMZ/CRJkiSp4RYa5MQj4njgPcC9mbla7bY4cCowEZgMbJuZDw2qjJIkSZI0vxt0jd+JwDs7uu0NnJuZKwLn1veSJEmSpBEaaPDLzD8BD3Z03gI4qf5/ErDlPC2UJEmSJDXMoGv8ulkmM++q/98NLDPIwkiSJEnS/G4sBr8ZMnM6MH3Q5ZAkSZKk+dlYDH73RMTLAOrrvQMujyRJkiTN18Zi8DsT2LH+vyPwywGWRZIkSZLme4N+nMNPgEnAkhFxB7AfcDBwWkTsDNwGbDu4EkqSJEnS/G+gwS8zt+/Ra9N5WhBJkiRJarCx2NRTkiRJkjSKDH6SJEmS1HAGP0mSJElqOIOfJEmSJDWcwU+SJEmSGs7gJ0mSJEkNZ/CTJEmSpIYz+EmSJElSwxn8JEmSJKnhDH6SJEmS1HAGP0mSJElqOIOfJEmSJDWcwU+SJEmSGs7gJ0mSJEkNZ/CTJEmSpIYz+EmSJElSwxn8JEmSJKnhDH6SJEmS1HAGP0mSJElqOIOfJEmSJDWcwU+SJEmSGs7gJ0mSJEkNZ/CTJEmSpIYz+EmSJElSwy006AJIkiRJGnsOPHBfrrzycm6++SYefPABxo8fzytfuRzvetdm7Lzzx1l88SUGXUT1wRo/SZIkSbM47rhjePzxx9h4403YZZdP8v73b8tCC43j0EO/xqRJb+LOO+8YdBHVB2v8JEmSJM3i5pvvZPz48bN0/+pXD+SIIw7jyCO/ziGHfGMAJdNIWOMnSZIkaRbdQh/Ae9/7PgBuueWWeVkczSGDnyRJkqRhO/vs3wKwyiqrDrgk6odNPSVJkiT1dMwxR/HYY4/yyCNTueKKy7nkkotYZZXV2GOPzw66aOqDwU+SJElST8ceexT33XfvjPdvectbOeqob7PkkksOsFTql009JUmSJPV07bU3ce+9U7nmmps44YQfcdttk9l00w256qorBl009cHgJ0mSJGm2ll56aTbbbHNOO+0MHnroQXbf/RODLpL6YPCTJEmSNGzLLrscK630Wq6//h888MADgy6OhsngJ0mSJKkvd999FwDjxhkn5hf+UpIkSZJmcvPNNzJ16pRZuk+bNo2vfvVA7r//PtZd9w0sttiEAZROI+FdPSVJkiTN5JxzzuYrXzmA9dZbn+WXX54JExbnvvvu5cIL/8Jtt01m6aWX4fDDjx50MdUHg58kSZKkmWy00SbceustXHLJxVxzzZVMmTKFF75wEVZYYQW22eYD7LLLrkyYsPigi6k+GPwkSZIkzWTllVfh4IO/PuhiaBR5jZ8kSZIkNZzBT5IkSZIazqaekiRJaqwJiz6PhRYeP+hiSLN4+l//5qFHn5pn0zP4SZIkqbEWWng8f9xo40EXQ5rFxn/6I8zD4GdTT0mSJElqOIOfJEmSJDWcwU+SJEmSGs7gJ0mSJEkNZ/CTJEmSpIYz+EmSJElSwxn8JEmSJKnhDH6SJEmS1HAGP0mSJElqOIOfJEmSJDWcwU+SJEmSGs7gJ0mSJEkNZ/CTJEmSpIYz+EmSJElSwxn8JEmSJKnhDH6SJEmS1HALDboAvUTEO4EjgXHA9zLz4AEXSZIkSZLmS2Oyxi8ixgHHAO8CVgG2j4hVBlsqSZIkSZo/jcngB6wH3JSZt2Tmk8ApwBYDLpMkSZIkzZcWmD59+qDLMIuI2Bp4Z2Z+rL7/EPCGzNx9iI/dB9w2L8onSZIkSWPQ8sBS3XqM2Wv8RqDrDEqSJEnSc91Ybep5J7Bs2/tX1m6SJEmSpD6N1Rq/vwIrRsSrKIHvA8AHB1skSZIkSZo/jckav8x8GtgdOAv4B3BaZl472FJJkiRJ0vxpTN7cRZIkSZI0esZkjZ8kSZIkafQY/CRJkiSp4cbqzV3mWxGxJfALYOXMvH4Enz8Q+FNmnjPM4VcCjgBWBB4BbgI+nZn39DvtkYqIbwM/AY7MzLVqt+2B44EXZ+ZTEbE68KPMXCMi9gS+k5mP9zGNXYDPAU8Dx2TmsT2G2x/YD1gxM2+q3fYEvgGsm5mXjXQ+Nfb0u75FxPeAwzPzujmc7kTg15m5Wpd+82ydnJPtTURMAj6Xme/p0m894DBgGeBx4G/AHv2ss3U8iwEf7LW+jqRsGh3dlp325Toi1gJenpn/Ow/KMpJ9wonAxsAUYBqwW2ZeNMTw+wOPZuZhHd0n8uw8rwN8ODP3GGYZzgdeBjwBPB84B9gnMx+ezee2AQ4E7s7MTYYzrSHGNQnXFQ1hTo9L1SzW+I2+7YG/1Ne+RMS4zNy3j9A3HvgN8K3MXDEzXw8cy7x/puEbKfO8XES8qHZ7E+XGPK9re39h/X9P4IXDHXlELAR8BVgXWI0yz0O5mnIn2JZtgHl+c6CIWCAiXMfmrr7Wt8z82JyGvqHM6TpZl/V+jHh7M0QZlgF+Cnw+MyMzXwf8DnjR0J/sajHgUz2m44nHwZrdsrMW8O5+RjgHv2lf+4Q2e9WTjXsDx41w2jNk5mXDDX1tdsjMNYA1KAHwl8P4zM7ALnMa+kbC9e45adT3E6PJY6V5yw3AKIqIRYENgU2AX1FqnqgL9DeBtwC3A08Bx2fmzyJiMnAq8DbgkIh4J+Xs488iYl3gSGARyg5l08x8pG2SHwQuysxftTpk5vl1muOBbwHrUGrJPpuZ50XETsCWdZwrUs7qPx/4UJ3GuzPzwXom83LgzXXYDwNfAFYHTs3Mfep0VgZuyMxnIuIy4A2Us55rA8dQAt+l9fWciNgDeDlwXkTcD7wV+H4t5/T6vXyjy9e7ELBEZk4FbpvNT3EGsAVwUESsQDkj/FSrZ0S8HTgAeAFwM/CRzHw0IvYFNgcWpoTUT2Tm9FrmXev3eF1mfqDz7HFEXAO0zrieBVxSv4N3R8S2wLZ1er/IzP0iYhHgNMozKscBX87MU2czX2ozxPo2CdgfuJ9youBvwH/U3/J8ytnxyyLiUco68m7gLuCLwCHAcsCemXlmrQ34AWUdANg9M1snMLoZap3sOq5a3i8DDwGvrevUwcAkyjJzTGbOclA7wvl/J6U28nHKgUA3uwEntdeeZObP6rgXp9Tkv7qO4+OZeVVdH5ar3ZcDjsjMo+p8rBARVwC/p4Ti9nldgy7bqR7l0ijptey09X8+pUZq4YjYEPga8GvgaMoy9Txg/8z8Zd2nbAUsCoyLiBOA91KC3AqUbd5/1fF+i3ICb2HgZ3VbONM+ITM36bWNHmKW/gS8pk5jMrBOZt5fa/AOy8xJdbg1I+IiYEngkMz8bsd8T6LWntXv6Gie3TcdkJmn9ypAZj4ZEf8F3BQRa2bmlRHxH8AelH3sJZSTIF+q3/33I+JMSmidZX0fyXpc9yuz/Y0oNaV6Dui2rkfEyyjHnS+mHFt9knLMM8uxWD2GOoZy8vJxygmL62ut9X7AM8CUzNwoIlYFTqAs7wsC78/MGyPis8BHa5G+l5lH1P3hTMdKzP7YTqPAhD26tgB+l5k3AA9ExNq1+1bARGAVSsBav+NzD2Tm6zPzlFaHuuM9FfhMZq5JCUj/6vhca2fQzW7A9MxcnXKW56QaBluf24qyA/4K8Hg9q38RJeC1PJmZ6wDfppzF3K1+dqeIWKIO8y5KbQDABcCb6s5nGnA+JfBRXy+sB4P/BDapZzvXAl6RmavVsp7QZV4WAq4EzqgHnrMzFbg9Ilaj1PzNCFQRsSSwD/DWWhtzGfDZ2vubmblubb63MM8Gub2B19WzursOY/orAsdm5qpA1Pfr1XldOyI2At4J/DMz16zT+13PsamXXusblJrmPSnr3KuBDbp8fhHgD/V3egQ4iHIC5n2Ug16Ae4G31WVlO+Co2ZRpqHVyqHG9nrKur0SpDZiSmetS1tFd6jNNO/U1/3X9/y7l5MbawEtHMA8HAJfXdeGLwMlt/V4LvIOyrO8XEc+jrDs3Z+ZamblXl3kdajuluWeoZYfMfBLYl3KSb616UupLlPVlPcpB5KF1Ww/lN906M1uBYi3KMr46sF1ELFu7f6nuU9YANo6INTr3CbPZRveyOaWlx+ysQTkBuz6wb0S8fIhh/5uyHq5el/c/zG7kmfkMZV/VOoGzHbBBrZV8hlI7eCBlnnao68RQ63u/63E/v5GeG7qt6x8EzqrL5ZrAFfQ+FvsO5VKFtSmX27Sa7e8LvKMen763dtuVZy/5WQe4o07vI5RKgTdSlu9WS7AZx0qZaeibRwx+o2t7oBXeTuHZavUNgZ9m5rTMvBvoPKPdraYngLsy868AmTk1y/MNh2tD4If1s9dTzqSsVPudl5mPZOZ9lNqwVu3E1ZSA2nJmW/drM/OuzHwCuAVo7cjfwbOh5UJKwFsP+Gtm3gy8JiKWAhat7zvdArw6Io6uZzGndhnma5SN0NeBMyPihRGxTUQc1mXYllMooa/Vtr3ljZSd6AW1FmJHYPnab5OIuCQirqYcHKxau18F/KievR3Ob3BbZl5c/397/bsc+Dvl4HhFynf6toj4n4h4c2ZOGcZ4NbNe6xvApZl5R2ZOo+zUJnb5/JM8u+xeDfwxM59i5vXgecB36zLxU8qyM1JDjevSzLy1/v924MN1+bwEWIKyzHTqd/5fC9yamTdm5nTq9qFPG1JqLcnMPwBLRMSLa7/fZOYTmXk/JeQu02Mc7fM61HZKc89Qy04vbwf2rsvl+cB4Su0uwO8z88G2Yc/NzCmZ+W/gOp7dxm4bEX+nbA9Xpfv6NNQ2utOhdZiPUwLU7PwyM/9Vl9HzKPuqXt5KqekAIDMfGsb4ARaor5tSgtlfaxk3pYS3TkOt7/2ux/38Rnpu6Lau/xX4SG2psXqWlmSzHIvV2sI3AT+ty9RxlGtaoZzoPzHK/RfG1W4XAV+MiM8Dy2fmvyjb+F9k5mO11v7nlJZkMPOxkuYRm3qOkloT9RZg9YiYTlkRpkfEXkN/EoDHRjjZaxlZk40n2v6f1vZ+GjMvE090GWbGcBHxQmCxzPxn7X4x5YzlBpQNAMAdlADW9aL7zHwoItakBMhdKU0iP9ox2DsoZ5EmR8TSlIPmx4BDh5jHX9f+l2Xm1IhodV+AsgOc6UCnnkU9ltJE6Pa6QWzVPGwGbEQ5w/qlKDeqeZqZT5y011K0/54LAF/L7k31Xk9p3nBQRJxbzwRrGIaxvrUvr8/QfVv3VD1wgrZlPDOnxbPXwfwncA/lrOiCwL9nU7Sh1smhxtW5zHw6M8/qNZFRmv+h5mFthnetUrvhTnOk2zuNgjnYVy1AabqVHeN7A7P+prMsC7UW63OUm2w9FOXmLN1qd7tuo3vYK2sz5Dbt2+bO8Xc+uHhUH2QcEeMotZz/AJamNJn+wmw+1nV9r009+12P+/mN1HC91nVgL8oxzWaU8HZ4Zp7c5VhsT+DhWoM3k8zctS5XmwF/i4i1M/PHEXFJ7fa/EfGJ2RTRZXIArPEbPVsDP8jM5TNzYmYuC9xKObNxAfD+iFgwyo0TJg1jfAm8LMp1fkTEi2LWi7J/TGlauVmrQ0RsVJs4/hnYoXZbiXLWLxldm9BWe1nPGt1OqdZvBb2LKBuPC9o+9wj1RhG1Wc+CWa6d2IfSHKXT5TzbBPXw+tlV6d0cjSx3h/s8pSlru4spzWVa14MsUr+f1gHC/fUs19a1/4LAslmuO/o88BLKdRKTW2WtAa5bUzwobdg/WsdJRLwiIpauTYwez8wfUgJqt/lWb0Otb6PpJZSa92mUZtrjZjP8UOvkcMd1FvDJ2lSSiFiprblWy0jm/3pgYr1mA3rX8nwT2LHu1FvzsFXddrVvVyYB92e57raXGet6D/NiO6WZDXfZ6fztzgI+HRELALQ11xquF1MO9KbUZeldPabVaxs9XJMpJy4A3t/Rb4uIGB/lUoVJlJqPXn5PaYpMLceEoSZa19evAbdn5lXAucDW9WQlEbF4RHSruRzO+t5uqPV4Tn8jNUuvdX0j4J4s17h+D3h9t2Oxum2/Ncr1fK2bsKxZ/18hMy/JzH2B+4BlI+LVwC21+fYvKU2r/wxsWVtqLUK5lOLP8/A7UAeD3+jZnpmbFAKcXrufTqn5uo7SLOPvlCaWPdVrLLYDjo6IKyk7ofEdw/yLch3apyPixoi4jnLx+H2U2qsFa7OyU4GdajPN0dR+fV/LBcALMvP2+v4iSvOW9htifAf4XUScB7wCOL82I/gh5QYynfYE1oqIayk3ijmLssPudhOYGTLzlMz8e0e3+4CdgJ9ExFW1fK/Ncvvt7wLXtI0fysH5D+v3eDlwVB32dGDxWqbdgRt6lOFsShi4qI7jZ5QDnNWBS+t870e5vkzDN9T6NpqOpYSgKylNrIY8QzmMdXI44/oeZVvx9yg3DTqOWc/09z3/tdndx4Hf1OZ29/YY7h5KLf1hEZER8Q/KWeBHKDebWLuuOwdTmuH1lJkPUJrsXRMR3Wro58V2SjMb7rJzHrBKRFwREdtRbsrzPOCqut37cj8TzcwrKdvQ6ynbxPaTgTP2Cb220X1M6gDgyCg3G3umo99Vdb4uptxQ65+dH25zEDChLrtXUk50dvOjWs5rKNcNbwGQ5e7B+wBn1/6/59lmcu2Gs77PMJv1eI5+IzVOr3X9RODKiLiccpx5JL2PxXYAdq7rwLXU5ZvSzPrqusxeSLm2dVvgmjqO1YCT6zHYiZRjt0soN3e5fC7Mq4ZpgenTR7Wlg3qIiEWz3DlyCcoKsEG93m++VXc6b6jXRUmSJEkaowx+80iU28gvRrnN7SGZeeJACyRJkiTpOcPgJ0mSJEkN5zV+kiRJktRwBj9JkiRJajiDnyRJkiQ1nMFPkiRJkhqu57NiJEmaUxHReQexJ4GpwO2UZ5qeDpydmZ3PXJtvRcRkgMycONCCjJKImER5/t0Bmbn/YEsjSRopg58kaV44oL6OozzaZlXgQ8DOwGURsUNm3jCowkmS1HQGP0nSXNetpigilgGOBrYBzomIdTLz3nldNkmSngt8jp8kaa5pNfXMzAV69F8QOBeYBByZmXt29F8c2AvYEphIaSp6GfA/mXl2x7A7AScAHwHuA74ErFk/cy7whcy8seMzKwEfBd4KLA+8GLgbOAs4MDPv6Bh+ErXZI/C/wH7A+sCEOt0TenwVJ2XmTm3fyR+B7YCvAZsBiwJXAp/PzD9HxCLA/sC2wEuBm4D9M/On3UYeEdsDHwdeB4wHbgV+BByamU90DNua/tbAV4HNgcXrNA7LzBPahj0R2LHHPG2Smef36CdJGmO8uYskaWAycxpwUH27fUTMCIgRsTzwN2BvSpD7NnAqsDLwu4jYpcdotwLOAO4AjgQuAt4PXBwR0WXYXSnXHP6EUgN5HfAx4K8R8Yoe01gf+DMlZB0PnATcQAmEU+rfAW1/Z3R8fjHgAkpQ+wnlWsd1gLMiYk1KUN0C+HUd93LAqRHxxs6CRMTxwI+B19TxHAM8CHy5fk/dWve0pr8+8LM6jZcDx0dEe9A7o/aDEhbb52lyj+9GkjQG2dRTkjRofwGeBpam1OrdWrufRKmF2z4zT2kNHBGLAecDR0XEmZl5T8f4Ngc2z8xft33mM8ARwLHApm3D/gD4RpdasbcDvwX2AT7ZpcxvB3bNzOM6ul9Yax67Nm9tsyZwHPCpGn6JiN8DJ1NqFC8AJmXmv2u/HwB/Aj4PvK+tnDtRahp/AeyQmf9q67c/pUZyN0oA7pz+94FPtG6sExFHAFfVaZxU5+GMiHiYUut3vjd3kaT5lzV+kqSBqqHrgfp2KYBa67UxcHp76KvDP0wJNOMpNXmd/tAe+qpvAjcDb6k1ia1x3dkZ+mr3s4FrgXf0KPYVXUJfPx4H9mqFvurHlAA8AfhMK/TV8vyZUsO2Vsd4PlM/89H20Fd9mfK97tBj+p9tv5tqZl5HCZwrR8SiI5kpSdLYZY2fJGksaDXxbF14vn59fUmtueq0VH1duUu/P3Z2yMxnIuIvwAqU5pW3AdSmpTsAO1FqwSZQ7jza8mSP8l7ao/tw3ZCZj3Qp4z3AIpl5S5fP3Am8ofUmIl5IKfP9wJ6ztmIF4Am6f0c3ZubULt1vr68TgEdnOxeSpPmGwU+SNFARMZ5ycxEo1/IBLFFf31b/eulWM9XZ9LPl7vr6krZuhwN7AndRbuhyJ9CqOduJ0tR0qHGN1JQe3Z+eTb/2/fYESmBeilID2o+Hh5gGzBx+JUkNYPCTJA3ahpT90T2ZObl2a4Wfz2TmUX2Ob5ke3V/aPu6IWBrYA7gGeFNnDVy9U2YvY+GW2K3v6PLMfP1ASyJJGvO8xk+SNDD1cQ5fqm9/3Nbr4vr65hGMduMu0xlHCZgAl9fXV1P2g2d3CX2vrP1H4hnmQY1ZZj5KuQ5x1frYi7mldR2gtYCSNB8z+EmSBqLWuJ1CeYbf/1GeKQdAZl5GeVzCVhHx0R6fX72Oo9NbIuI9Hd12p1zfd15m3la7Ta6vG9Zg2BrvosB3GXmrmAeApSJi4RF+vh+HA8+nPIZhsc6eETEhIua0NrB1453l5nA8kqQBsqmnJGmua7tBy4KUZ8itSqmBez7lRik7ZOb9HR/7IPAH4PsRsQdwCeXatFcCawCrUW4Cc2/H534F/CIifkF5KPlawLsoz7b7VGugzLw7Ik4BPgBcERFnU67/exvwb+AKZr2L5nCcC6xLeYbenyg3WLkyM381gnENKTOPj4i1KfN1c0ScRQnRiwOvAjaiPFR+1zmZDOXaxw9ExFOUG+NMB37QFqIlSWOcwU+SNC+0bj7yJPAIJTycTHng+NkdjzUAIDPvqKHm05THNuxAaW54N+Uh60cDV3eZ1s+B71CakG4GPFW7fSEzb+gYdmfgFmA7yvPu7gPOBPatZRuJgyjhdnNgg1rmkyiBdNRl5m4R8VtKuHtrnfaDlAB4KPDDORz/MxHxPuBgYBvgRZSbyvyFendUSdLYt8D06WPh+nRJkuZMfZj5CcBHMvPEwZZGkqSxxWv8JEmSJKnhDH6SJEmS1HAGP0mSJElqOK/xkyRJkqSGs8ZPkiRJkhrO4CdJkiRJDWfwkyRJkqSGM/hJkiRJUsMZ/CRJkiSp4f4/xFqM0sYUdGYAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 1080x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "n5tC3rIC5p64",
        "colab_type": "text"
      },
      "source": [
        "#### 3. Position Title yang menghasilkan Total Compensation, Total Earnings dan Total Benefits tertinggi (urutkan berdasarkan Total Compensation masing-masing 5)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HucsIzjY5p65",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 748
        },
        "outputId": "e96a3bae-04a5-4f4d-8b2b-357a0bf1c135"
      },
      "source": [
        "query = \"\"\"\n",
        "        SELECT\n",
        "            position_title,\n",
        "            total_earnings,\n",
        "            total_benefits,\n",
        "            MAX(total_compensation) AS total_compensation_per_pos_title\n",
        "        FROM\n",
        "            salary\n",
        "        GROUP BY\n",
        "            position_title\n",
        "        ORDER BY\n",
        "            total_compensation_per_pos_title DESC\n",
        "        LIMIT\n",
        "            5\n",
        "        \"\"\"\n",
        "\n",
        "result = pandasql.sqldf(query)\n",
        "\n",
        "position_title = result['position_title']\n",
        "total_earnings = result['total_earnings']\n",
        "total_benefits = result['total_benefits']\n",
        "total_compensation_per_pos_title = result['total_compensation_per_pos_title']\n",
        "labels = position_title\n",
        "\n",
        "# set width of bar\n",
        "barWidth = 0.28\n",
        " \n",
        "# set height of bar\n",
        "bars1 = total_earnings\n",
        "bars2 = total_benefits\n",
        "bars3 = total_compensation_per_pos_title\n",
        " \n",
        "# Set position of bar on X axis\n",
        "r1 = np.arange(len(bars1))\n",
        "r2 = [x + barWidth for x in r1]\n",
        "r3 = [x + barWidth for x in r2]\n",
        " \n",
        "# Make the plot\n",
        "fig, ax = plt.subplots(figsize=(30,17))\n",
        "rects1 = ax.bar(r1, bars1, color='#7f6d5f', width=barWidth, edgecolor='white', label='total earnings')\n",
        "rects2 = ax.bar(r2, bars2, color='#557f2d', width=barWidth, edgecolor='white', label='total benefits')\n",
        "rects3 = ax.bar(r3, bars3, color='#2d7f5e', width=barWidth, edgecolor='white', label='total compensation')\n",
        " \n",
        "# Add title, labels, xticks on the middle of the group bars\n",
        "plt.title('Top 5 Total Compensation with Total Earnings & Total Benefits per Position Title', fontweight='bold', fontsize=20, y=1.03)\n",
        "plt.xlabel('Position Title', fontweight='bold', fontsize=20, labelpad=30)\n",
        "plt.ylabel('Total', fontweight='bold', fontsize=20, labelpad=30)\n",
        "plt.xticks([r + barWidth for r in range(len(bars1))], labels, fontsize=15)\n",
        "plt.yticks(fontsize=15)\n",
        " \n",
        "# Create legend & Show graphic\n",
        "\n",
        "plt.legend(fontsize=25)\n",
        "\n",
        "# Create annotation\n",
        "def autolabel(rects):\n",
        "    \"\"\"Attach a text label above each bar in *rects*, displaying its height.\"\"\"\n",
        "    for rect in rects:\n",
        "        height = rect.get_height()\n",
        "        ax.annotate('{}'.format(height),\n",
        "                    xy=(rect.get_x() + rect.get_width() / 2, height),\n",
        "                    xytext=(0, 3),  # 3 points vertical offset\n",
        "                    textcoords=\"offset points\",\n",
        "                    ha='center', va='bottom', fontsize=15)\n",
        "\n",
        "autolabel(rects1)\n",
        "autolabel(rects2)\n",
        "autolabel(rects3)\n",
        "\n",
        "plt.show()\n"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2160x1224 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}