Module-02.ipynb

module-02.ipynb

{
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  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Module-02.ipynb",
      "provenance": [],
      "collapsed_sections": [
        "Xt7c_Yvableo",
        "Lh5M5Z8dblfA",
        "EGZOjkYSblfH"
      ],
      "include_colab_link": true
    },
    "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": "3.7.3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/727021/a16d058fbd036a23e11d267adbd28dd6/module-02.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7pT1ixWmUbF-"
      },
      "source": [
        "# Employee Satisfaction and Engagement Survey Analysis\n",
        "\n",
        "* What affects employee satisfaction?\n",
        "  * Pay\n",
        "  * Position\n",
        "  * Months worked\n",
        "  * Performance reviews\n",
        "  * Special projects"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_16gYPUMn5ZG"
      },
      "source": [
        "# https://stackoverflow.com/a/17303428/2031203\n",
        "class color:\n",
        "   PURPLE = '\\033[95m'\n",
        "   CYAN = '\\033[96m'\n",
        "   DARKCYAN = '\\033[36m'\n",
        "   BLUE = '\\033[94m'\n",
        "   GREEN = '\\033[92m'\n",
        "   YELLOW = '\\033[93m'\n",
        "   RED = '\\033[91m'\n",
        "   BOLD = '\\033[1m'\n",
        "   UNDERLINE = '\\033[4m'\n",
        "   END = '\\033[0m'"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Xt7c_Yvableo"
      },
      "source": [
        "## Initial Analysis"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TMgevDk-eUlm",
        "outputId": "e218af3b-ffca-430b-c041-a2e0a5d5ffa0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 343
        }
      },
      "source": [
        "import pandas as pd\n",
        "\n",
        "# For Colab (Online)\n",
        "hr = pd.read_csv('https://raw.githubusercontent.com/byui-cse/cse450-course/master/data/hr.csv')\n",
        "\n",
        "# For Anaconda (Offline)\n",
        "# hr = pd.read_csv('hr.csv')\n",
        "hr.head()"
      ],
      "execution_count": 12,
      "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>Employee_Name</th>\n",
              "      <th>EmpID</th>\n",
              "      <th>PayRate</th>\n",
              "      <th>Position</th>\n",
              "      <th>State</th>\n",
              "      <th>Zip</th>\n",
              "      <th>DOB</th>\n",
              "      <th>Sex</th>\n",
              "      <th>MaritalDesc</th>\n",
              "      <th>Dependents</th>\n",
              "      <th>CitizenDesc</th>\n",
              "      <th>HispanicLatino</th>\n",
              "      <th>RaceDesc</th>\n",
              "      <th>DateofHire</th>\n",
              "      <th>DateofTermination</th>\n",
              "      <th>TermReason</th>\n",
              "      <th>EmploymentStatus</th>\n",
              "      <th>Department</th>\n",
              "      <th>ManagerName</th>\n",
              "      <th>RecruitmentSource</th>\n",
              "      <th>PerformanceScore</th>\n",
              "      <th>EngagementSurvey</th>\n",
              "      <th>EmpSatisfaction</th>\n",
              "      <th>EmpSatisfaction2</th>\n",
              "      <th>SpecialProjectsCount</th>\n",
              "      <th>LastPerformanceReview_Date</th>\n",
              "      <th>DaysLateLast30</th>\n",
              "      <th>AbsencesLast30</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Brown, Mia</td>\n",
              "      <td>1103024456</td>\n",
              "      <td>59280.0</td>\n",
              "      <td>Accountant I</td>\n",
              "      <td>MA</td>\n",
              "      <td>1450</td>\n",
              "      <td>11/24/87</td>\n",
              "      <td>F</td>\n",
              "      <td>Married</td>\n",
              "      <td>0</td>\n",
              "      <td>US Citizen</td>\n",
              "      <td>No</td>\n",
              "      <td>Black or African American</td>\n",
              "      <td>10/27/08</td>\n",
              "      <td>NaN</td>\n",
              "      <td>N/A - still employed</td>\n",
              "      <td>Active</td>\n",
              "      <td>Admin Offices</td>\n",
              "      <td>Brandon R. LeBlanc</td>\n",
              "      <td>Diversity Job Fair</td>\n",
              "      <td>Fully Meets</td>\n",
              "      <td>4.08</td>\n",
              "      <td>2</td>\n",
              "      <td>93</td>\n",
              "      <td>9</td>\n",
              "      <td>1/15/19</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>LaRotonda, William</td>\n",
              "      <td>1106026572</td>\n",
              "      <td>47840.0</td>\n",
              "      <td>Accountant I</td>\n",
              "      <td>MA</td>\n",
              "      <td>1460</td>\n",
              "      <td>4/26/84</td>\n",
              "      <td>M</td>\n",
              "      <td>Divorced</td>\n",
              "      <td>4</td>\n",
              "      <td>US Citizen</td>\n",
              "      <td>No</td>\n",
              "      <td>Black or African American</td>\n",
              "      <td>1/6/14</td>\n",
              "      <td>NaN</td>\n",
              "      <td>N/A - still employed</td>\n",
              "      <td>Active</td>\n",
              "      <td>Admin Offices</td>\n",
              "      <td>Brandon R. LeBlanc</td>\n",
              "      <td>Website Banner Ads</td>\n",
              "      <td>Fully Meets</td>\n",
              "      <td>10.00</td>\n",
              "      <td>4</td>\n",
              "      <td>75</td>\n",
              "      <td>7</td>\n",
              "      <td>1/17/19</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Steans, Tyrone</td>\n",
              "      <td>1302053333</td>\n",
              "      <td>60320.0</td>\n",
              "      <td>Accountant I</td>\n",
              "      <td>MA</td>\n",
              "      <td>2703</td>\n",
              "      <td>9/1/86</td>\n",
              "      <td>M</td>\n",
              "      <td>Single</td>\n",
              "      <td>2</td>\n",
              "      <td>US Citizen</td>\n",
              "      <td>No</td>\n",
              "      <td>White</td>\n",
              "      <td>9/29/14</td>\n",
              "      <td>NaN</td>\n",
              "      <td>N/A - still employed</td>\n",
              "      <td>Active</td>\n",
              "      <td>Admin Offices</td>\n",
              "      <td>Brandon R. LeBlanc</td>\n",
              "      <td>Internet Search</td>\n",
              "      <td>Fully Meets</td>\n",
              "      <td>7.80</td>\n",
              "      <td>5</td>\n",
              "      <td>60</td>\n",
              "      <td>6</td>\n",
              "      <td>1/18/19</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Howard, Estelle</td>\n",
              "      <td>1211050782</td>\n",
              "      <td>44720.0</td>\n",
              "      <td>Administrative Assistant</td>\n",
              "      <td>MA</td>\n",
              "      <td>2170</td>\n",
              "      <td>9/16/85</td>\n",
              "      <td>F</td>\n",
              "      <td>Married</td>\n",
              "      <td>3</td>\n",
              "      <td>US Citizen</td>\n",
              "      <td>No</td>\n",
              "      <td>White</td>\n",
              "      <td>2/16/15</td>\n",
              "      <td>4/15/15</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Terminated for Cause</td>\n",
              "      <td>Admin Offices</td>\n",
              "      <td>Brandon R. LeBlanc</td>\n",
              "      <td>Pay Per Click - Google</td>\n",
              "      <td>Fully Meets</td>\n",
              "      <td>6.48</td>\n",
              "      <td>3</td>\n",
              "      <td>83</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Singh, Nan</td>\n",
              "      <td>1307059817</td>\n",
              "      <td>34444.8</td>\n",
              "      <td>Administrative Assistant</td>\n",
              "      <td>MA</td>\n",
              "      <td>2330</td>\n",
              "      <td>5/19/88</td>\n",
              "      <td>F</td>\n",
              "      <td>Single</td>\n",
              "      <td>4</td>\n",
              "      <td>US Citizen</td>\n",
              "      <td>No</td>\n",
              "      <td>White</td>\n",
              "      <td>5/1/15</td>\n",
              "      <td>NaN</td>\n",
              "      <td>N/A - still employed</td>\n",
              "      <td>Active</td>\n",
              "      <td>Admin Offices</td>\n",
              "      <td>Brandon R. LeBlanc</td>\n",
              "      <td>Website Banner Ads</td>\n",
              "      <td>Fully Meets</td>\n",
              "      <td>10.00</td>\n",
              "      <td>3</td>\n",
              "      <td>36</td>\n",
              "      <td>3</td>\n",
              "      <td>1/15/19</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "          Employee_Name       EmpID  ...  DaysLateLast30 AbsencesLast30\n",
              "0            Brown, Mia  1103024456  ...             0.0              1\n",
              "1  LaRotonda, William    1106026572  ...             0.0              2\n",
              "2      Steans, Tyrone    1302053333  ...             0.0              7\n",
              "3       Howard, Estelle  1211050782  ...             NaN              2\n",
              "4           Singh, Nan   1307059817  ...             0.0              2\n",
              "\n",
              "[5 rows x 28 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MG8zl6-7bley",
        "outputId": "7c01792f-63ec-48bd-a4c1-1ed1ed1239d7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        }
      },
      "source": [
        "hr.columns.array"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<PandasArray>\n",
              "[             'Employee_Name',                      'EmpID',\n",
              "                    'PayRate',                   'Position',\n",
              "                      'State',                        'Zip',\n",
              "                        'DOB',                        'Sex',\n",
              "                'MaritalDesc',                 'Dependents',\n",
              "                'CitizenDesc',             'HispanicLatino',\n",
              "                   'RaceDesc',                 'DateofHire',\n",
              "          'DateofTermination',                 'TermReason',\n",
              "           'EmploymentStatus',                 'Department',\n",
              "                'ManagerName',          'RecruitmentSource',\n",
              "           'PerformanceScore',           'EngagementSurvey',\n",
              "            'EmpSatisfaction',           'EmpSatisfaction2',\n",
              "       'SpecialProjectsCount', 'LastPerformanceReview_Date',\n",
              "             'DaysLateLast30',             'AbsencesLast30']\n",
              "Length: 28, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BVgZ39Em40jT",
        "outputId": "779abab5-9422-4d37-83bb-c46142bd98f3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "print(len(hr), 'Rows\\n')\n",
        "\n",
        "for col in hr.columns.array:\n",
        "  print(color.BOLD + color.UNDERLINE + col.upper() + color.END, hr[col].value_counts(), sep='\\n', end='\\n\\n')"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "310 Rows\n",
            "\n",
            "\u001b[1m\u001b[4mEMPLOYEE_NAME\u001b[0m\n",
            "Mahoney, Lauren      1\n",
            "Givens, Myriam       1\n",
            "Sewkumar, Nori       1\n",
            "McKinzie, Jac        1\n",
            "Daneault, Lynn       1\n",
            "                    ..\n",
            "Goble, Taisha        1\n",
            "Lajiri,  Jyoti       1\n",
            "Gentry, Mildred      1\n",
            "Demita, Carla        1\n",
            "Strong, Caitrin      1\n",
            "Name: Employee_Name, Length: 310, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mEMPID\u001b[0m\n",
            "1012023295    1\n",
            "1412071844    1\n",
            "1104025243    1\n",
            "1001268402    1\n",
            "1406068403    1\n",
            "             ..\n",
            "1307060083    1\n",
            "1110029623    1\n",
            "1405067642    1\n",
            "1308060535    1\n",
            "1009920000    1\n",
            "Name: EmpID, Length: 310, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mPAYRATE\u001b[0m\n",
            "114400.0    25\n",
            "22.0        25\n",
            "20.0        16\n",
            "21.0        15\n",
            "24.0        15\n",
            "            ..\n",
            "59280.0      1\n",
            "108160.0     1\n",
            "58240.0      1\n",
            "102440.0     1\n",
            "47840.0      1\n",
            "Name: PayRate, Length: 100, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mPOSITION\u001b[0m\n",
            "Production Technician I         136\n",
            "Production Technician II         57\n",
            "Area Sales Manager               27\n",
            "Production Manager               14\n",
            "Software Engineer                 9\n",
            "IT Support                        8\n",
            "Data Analyst                      7\n",
            "Network Engineer                  5\n",
            "Sr. Network Engineer              5\n",
            "Database Administrator            5\n",
            "BI Developer                      4\n",
            "Accountant I                      3\n",
            "Sales Manager                     3\n",
            "Senior BI Developer               3\n",
            "Administrative Assistant          3\n",
            "Sr. Accountant                    2\n",
            "IT Manager - DB                   2\n",
            "Sr. DBA                           2\n",
            "Shared Services Manager           2\n",
            "CIO                               1\n",
            "IT Manager - Infra                1\n",
            "Data Analyst                      1\n",
            "Enterprise Architect              1\n",
            "Director of Sales                 1\n",
            "President & CEO                   1\n",
            "IT Manager - Support              1\n",
            "Director of Operations            1\n",
            "Software Engineering Manager      1\n",
            "IT Director                       1\n",
            "Data Architect                    1\n",
            "Principal Data Architect          1\n",
            "BI Director                       1\n",
            "Name: Position, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mSTATE\u001b[0m\n",
            "MA    275\n",
            "CT      6\n",
            "TX      3\n",
            "VT      2\n",
            "NC      1\n",
            "KY      1\n",
            "PA      1\n",
            "NV      1\n",
            "RI      1\n",
            "WA      1\n",
            "IN      1\n",
            "OH      1\n",
            "ID      1\n",
            "AL      1\n",
            "TN      1\n",
            "MT      1\n",
            "FL      1\n",
            "GA      1\n",
            "CO      1\n",
            "CA      1\n",
            "OR      1\n",
            "ME      1\n",
            "NH      1\n",
            "UT      1\n",
            "VA      1\n",
            "ND      1\n",
            "AZ      1\n",
            "NY      1\n",
            "Name: State, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mZIP\u001b[0m\n",
            "1886    13\n",
            "2045     7\n",
            "2176     7\n",
            "2451     7\n",
            "1810     7\n",
            "        ..\n",
            "1721     1\n",
            "1550     1\n",
            "1731     1\n",
            "2763     1\n",
            "1773     1\n",
            "Name: Zip, Length: 158, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mDOB\u001b[0m\n",
            "6/14/87     2\n",
            "9/9/65      2\n",
            "7/7/84      2\n",
            "9/22/76     2\n",
            "5/16/83     1\n",
            "           ..\n",
            "2/2/65      1\n",
            "11/24/89    1\n",
            "5/24/53     1\n",
            "9/16/84     1\n",
            "3/15/85     1\n",
            "Name: DOB, Length: 306, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mSEX\u001b[0m\n",
            "F     177\n",
            "M     133\n",
            "Name: Sex, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mMARITALDESC\u001b[0m\n",
            "Single       135\n",
            "Married      121\n",
            "Divorced      30\n",
            "Separated     12\n",
            "Widowed        8\n",
            "?              4\n",
            "Name: MaritalDesc, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mDEPENDENTS\u001b[0m\n",
            "3    62\n",
            "5    55\n",
            "4    51\n",
            "1    51\n",
            "0    44\n",
            "2    42\n",
            "?     5\n",
            "Name: Dependents, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mCITIZENDESC\u001b[0m\n",
            "US Citizen             294\n",
            "Eligible NonCitizen     12\n",
            "Non-Citizen              4\n",
            "Name: CitizenDesc, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mHISPANICLATINO\u001b[0m\n",
            "No     281\n",
            "Yes     27\n",
            "no       1\n",
            "yes      1\n",
            "Name: HispanicLatino, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mRACEDESC\u001b[0m\n",
            "White                               193\n",
            "Black or African American            57\n",
            "Asian                                34\n",
            "Two or more races                    18\n",
            "American Indian or Alaska Native      4\n",
            "Hispanic                              4\n",
            "Name: RaceDesc, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mDATEOFHIRE\u001b[0m\n",
            "1/10/11    14\n",
            "3/30/15    12\n",
            "9/29/14    11\n",
            "1/5/15     11\n",
            "7/5/11     10\n",
            "           ..\n",
            "5/31/11     1\n",
            "5/1/15      1\n",
            "5/11/16     1\n",
            "9/5/12      1\n",
            "6/25/07     1\n",
            "Name: DateofHire, Length: 99, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mDATEOFTERMINATION\u001b[0m\n",
            "9/24/12    2\n",
            "5/1/16     2\n",
            "11/4/15    2\n",
            "4/1/13     2\n",
            "4/7/12     2\n",
            "          ..\n",
            "8/30/10    1\n",
            "7/8/12     1\n",
            "6/15/13    1\n",
            "5/30/11    1\n",
            "4/29/16    1\n",
            "Name: DateofTermination, Length: 93, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mTERMREASON\u001b[0m\n",
            "N/A - still employed                196\n",
            "Another position                     20\n",
            "unhappy                              14\n",
            "more money                           11\n",
            "N/A - Has not started yet            11\n",
            "career change                         9\n",
            "hours                                 9\n",
            "attendance                            7\n",
            "return to school                      5\n",
            "relocation out of area                5\n",
            "retiring                              4\n",
            "military                              4\n",
            "performance                           4\n",
            "maternity leave - did not return      3\n",
            "no-call, no-show                      3\n",
            "medical issues                        3\n",
            "gross misconduct                      1\n",
            "Name: TermReason, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mEMPLOYMENTSTATUS\u001b[0m\n",
            "Active                    182\n",
            "Voluntarily Terminated     88\n",
            "Terminated for Cause       15\n",
            "Leave of Absence           14\n",
            "Future Start               11\n",
            "Name: EmploymentStatus, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mDEPARTMENT\u001b[0m\n",
            "Production              208\n",
            "IT/IS                    50\n",
            "Sales                    31\n",
            "Admin Offices            10\n",
            "Software Engineering     10\n",
            "Executive Office          1\n",
            "Name: Department, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mMANAGERNAME\u001b[0m\n",
            "Kelley Spirea         22\n",
            "Michael Albert        22\n",
            "Elijiah Gray          22\n",
            "Kissy Sullivan        22\n",
            "Amy Dunn              21\n",
            "Ketsia Liebig         21\n",
            "Webster Butler        21\n",
            "Brannon Miller        21\n",
            "David Stanley         21\n",
            "Janet King            19\n",
            "Simon Roup            17\n",
            "John Smith            14\n",
            "Peter Monroe          14\n",
            "Lynn Daneault         13\n",
            "Alex Sweetwater        9\n",
            "Brian Champaigne       8\n",
            "Brandon R. LeBlanc     7\n",
            "Jennifer Zamora        7\n",
            "Eric Dougall           4\n",
            "Debra Houlihan         3\n",
            "Board of Directors     2\n",
            "Name: ManagerName, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mRECRUITMENTSOURCE\u001b[0m\n",
            "Employee Referral                         31\n",
            "Diversity Job Fair                        29\n",
            "Search Engine - Google Bing Yahoo         25\n",
            "Monster.com                               24\n",
            "Pay Per Click - Google                    21\n",
            "Professional Society                      20\n",
            "Newspager/Magazine                        18\n",
            "MBTA ads                                  17\n",
            "Billboard                                 16\n",
            "Vendor Referral                           15\n",
            "Glassdoor                                 14\n",
            "Website Banner Ads                        13\n",
            "Word of Mouth                             13\n",
            "On-campus Recruiting                      12\n",
            "Social Networks - Facebook Twitter etc    11\n",
            "Other                                      9\n",
            "Indeed                                     8\n",
            "Internet Search                            6\n",
            "Information Session                        4\n",
            "Careerbuilder                              1\n",
            "Pay Per Click                              1\n",
            "Company Intranet - Partner                 1\n",
            "On-line Web application                    1\n",
            "Name: RecruitmentSource, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mPERFORMANCESCORE\u001b[0m\n",
            "Fully Meets          243\n",
            "Exceeds               37\n",
            "Needs Improvement     18\n",
            "PIP                   12\n",
            "Name: PerformanceScore, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mENGAGEMENTSURVEY\u001b[0m\n",
            "10.00    52\n",
            "2.24      4\n",
            "5.58      4\n",
            "5.22      4\n",
            "5.10      4\n",
            "         ..\n",
            "9.26      1\n",
            "7.08      1\n",
            "3.64      1\n",
            "5.66      1\n",
            "4.42      1\n",
            "Name: EngagementSurvey, Length: 188, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mEMPSATISFACTION\u001b[0m\n",
            "3    108\n",
            "5     98\n",
            "4     93\n",
            "2      9\n",
            "1      2\n",
            "Name: EmpSatisfaction, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mEMPSATISFACTION2\u001b[0m\n",
            "75    14\n",
            "77    12\n",
            "79    10\n",
            "73    10\n",
            "74    10\n",
            "      ..\n",
            "50     1\n",
            "94     1\n",
            "92     1\n",
            "37     1\n",
            "0      1\n",
            "Name: EmpSatisfaction2, Length: 81, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mSPECIALPROJECTSCOUNT\u001b[0m\n",
            "7     67\n",
            "8     52\n",
            "6     43\n",
            "4     36\n",
            "5     23\n",
            "9     21\n",
            "3     21\n",
            "0     21\n",
            "2     13\n",
            "1      9\n",
            "10     4\n",
            "Name: SpecialProjectsCount, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mLASTPERFORMANCEREVIEW_DATE\u001b[0m\n",
            "1/14/19    18\n",
            "2/18/19    12\n",
            "1/21/19    10\n",
            "1/28/19     9\n",
            "2/25/19     9\n",
            "1/17/19     8\n",
            "1/7/19      7\n",
            "2/22/19     6\n",
            "1/25/19     6\n",
            "2/11/19     6\n",
            "1/30/19     6\n",
            "2/7/19      5\n",
            "1/29/19     5\n",
            "2/21/19     5\n",
            "2/1/19      5\n",
            "2/27/19     5\n",
            "1/4/19      5\n",
            "2/14/19     5\n",
            "1/31/19     5\n",
            "1/22/19     4\n",
            "1/18/19     4\n",
            "1/2/19      4\n",
            "1/10/19     4\n",
            "2/12/19     4\n",
            "2/4/19      4\n",
            "1/15/19     4\n",
            "1/24/19     4\n",
            "1/11/19     4\n",
            "1/3/19      3\n",
            "1/8/19      3\n",
            "1/16/19     3\n",
            "2/19/19     3\n",
            "2/6/19      3\n",
            "2/15/19     3\n",
            "1/23/19     3\n",
            "2/13/19     3\n",
            "2/8/19      2\n",
            "2/28/19     2\n",
            "1/27/19     2\n",
            "2/26/19     2\n",
            "1/19/19     1\n",
            "2/5/19      1\n",
            "Name: LastPerformanceReview_Date, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mDAYSLATELAST30\u001b[0m\n",
            "0.0    207\n",
            "Name: DaysLateLast30, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mABSENCESLAST30\u001b[0m\n",
            "2    79\n",
            "1    52\n",
            "0    51\n",
            "7    29\n",
            "6    29\n",
            "5    26\n",
            "4    26\n",
            "3    18\n",
            "Name: AbsencesLast30, dtype: int64\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mA0HPVmIBT4C",
        "outputId": "d7ba2117-ddf6-4153-9f0e-e0062eaf1620",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "filtered = hr[['ManagerName','DateofHire','DateofTermination','PayRate','Position','Sex','RaceDesc','Department','PerformanceScore','EngagementSurvey','EmpSatisfaction','EmpSatisfaction2','SpecialProjectsCount','AbsencesLast30']].copy()\n",
        "\n",
        "print(len(filtered), 'Rows\\n')\n",
        "\n",
        "for col in filtered.columns.array:\n",
        "  print(color.BOLD + color.UNDERLINE + col.upper() + color.END, filtered[col].value_counts(), sep='\\n', end='\\n\\n')"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "310 Rows\n",
            "\n",
            "\u001b[1m\u001b[4mMANAGERNAME\u001b[0m\n",
            "Kelley Spirea         22\n",
            "Michael Albert        22\n",
            "Elijiah Gray          22\n",
            "Kissy Sullivan        22\n",
            "Amy Dunn              21\n",
            "Ketsia Liebig         21\n",
            "Webster Butler        21\n",
            "Brannon Miller        21\n",
            "David Stanley         21\n",
            "Janet King            19\n",
            "Simon Roup            17\n",
            "John Smith            14\n",
            "Peter Monroe          14\n",
            "Lynn Daneault         13\n",
            "Alex Sweetwater        9\n",
            "Brian Champaigne       8\n",
            "Brandon R. LeBlanc     7\n",
            "Jennifer Zamora        7\n",
            "Eric Dougall           4\n",
            "Debra Houlihan         3\n",
            "Board of Directors     2\n",
            "Name: ManagerName, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mDATEOFHIRE\u001b[0m\n",
            "1/10/11    14\n",
            "3/30/15    12\n",
            "9/29/14    11\n",
            "1/5/15     11\n",
            "7/5/11     10\n",
            "           ..\n",
            "5/31/11     1\n",
            "5/1/15      1\n",
            "5/11/16     1\n",
            "9/5/12      1\n",
            "6/25/07     1\n",
            "Name: DateofHire, Length: 99, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mDATEOFTERMINATION\u001b[0m\n",
            "9/24/12    2\n",
            "5/1/16     2\n",
            "11/4/15    2\n",
            "4/1/13     2\n",
            "4/7/12     2\n",
            "          ..\n",
            "8/30/10    1\n",
            "7/8/12     1\n",
            "6/15/13    1\n",
            "5/30/11    1\n",
            "4/29/16    1\n",
            "Name: DateofTermination, Length: 93, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mPAYRATE\u001b[0m\n",
            "114400.0    25\n",
            "22.0        25\n",
            "20.0        16\n",
            "21.0        15\n",
            "24.0        15\n",
            "            ..\n",
            "59280.0      1\n",
            "108160.0     1\n",
            "58240.0      1\n",
            "102440.0     1\n",
            "47840.0      1\n",
            "Name: PayRate, Length: 100, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mPOSITION\u001b[0m\n",
            "Production Technician I         136\n",
            "Production Technician II         57\n",
            "Area Sales Manager               27\n",
            "Production Manager               14\n",
            "Software Engineer                 9\n",
            "IT Support                        8\n",
            "Data Analyst                      7\n",
            "Network Engineer                  5\n",
            "Sr. Network Engineer              5\n",
            "Database Administrator            5\n",
            "BI Developer                      4\n",
            "Accountant I                      3\n",
            "Sales Manager                     3\n",
            "Senior BI Developer               3\n",
            "Administrative Assistant          3\n",
            "Sr. Accountant                    2\n",
            "IT Manager - DB                   2\n",
            "Sr. DBA                           2\n",
            "Shared Services Manager           2\n",
            "CIO                               1\n",
            "IT Manager - Infra                1\n",
            "Data Analyst                      1\n",
            "Enterprise Architect              1\n",
            "Director of Sales                 1\n",
            "President & CEO                   1\n",
            "IT Manager - Support              1\n",
            "Director of Operations            1\n",
            "Software Engineering Manager      1\n",
            "IT Director                       1\n",
            "Data Architect                    1\n",
            "Principal Data Architect          1\n",
            "BI Director                       1\n",
            "Name: Position, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mSEX\u001b[0m\n",
            "F     177\n",
            "M     133\n",
            "Name: Sex, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mRACEDESC\u001b[0m\n",
            "White                               193\n",
            "Black or African American            57\n",
            "Asian                                34\n",
            "Two or more races                    18\n",
            "American Indian or Alaska Native      4\n",
            "Hispanic                              4\n",
            "Name: RaceDesc, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mDEPARTMENT\u001b[0m\n",
            "Production              208\n",
            "IT/IS                    50\n",
            "Sales                    31\n",
            "Admin Offices            10\n",
            "Software Engineering     10\n",
            "Executive Office          1\n",
            "Name: Department, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mPERFORMANCESCORE\u001b[0m\n",
            "Fully Meets          243\n",
            "Exceeds               37\n",
            "Needs Improvement     18\n",
            "PIP                   12\n",
            "Name: PerformanceScore, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mENGAGEMENTSURVEY\u001b[0m\n",
            "10.00    52\n",
            "2.24      4\n",
            "5.58      4\n",
            "5.22      4\n",
            "5.10      4\n",
            "         ..\n",
            "9.26      1\n",
            "7.08      1\n",
            "3.64      1\n",
            "5.66      1\n",
            "4.42      1\n",
            "Name: EngagementSurvey, Length: 188, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mEMPSATISFACTION\u001b[0m\n",
            "3    108\n",
            "5     98\n",
            "4     93\n",
            "2      9\n",
            "1      2\n",
            "Name: EmpSatisfaction, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mEMPSATISFACTION2\u001b[0m\n",
            "75    14\n",
            "77    12\n",
            "79    10\n",
            "73    10\n",
            "74    10\n",
            "      ..\n",
            "50     1\n",
            "94     1\n",
            "92     1\n",
            "37     1\n",
            "0      1\n",
            "Name: EmpSatisfaction2, Length: 81, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mSPECIALPROJECTSCOUNT\u001b[0m\n",
            "7     67\n",
            "8     52\n",
            "6     43\n",
            "4     36\n",
            "5     23\n",
            "9     21\n",
            "3     21\n",
            "0     21\n",
            "2     13\n",
            "1      9\n",
            "10     4\n",
            "Name: SpecialProjectsCount, dtype: int64\n",
            "\n",
            "\u001b[1m\u001b[4mABSENCESLAST30\u001b[0m\n",
            "2    79\n",
            "1    52\n",
            "0    51\n",
            "7    29\n",
            "6    29\n",
            "5    26\n",
            "4    26\n",
            "3    18\n",
            "Name: AbsencesLast30, dtype: int64\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Lh5M5Z8dblfA"
      },
      "source": [
        "## Normalization of Filtered Data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "StiU5QcPPxqQ"
      },
      "source": [
        "from sklearn.preprocessing import MinMaxScaler\n",
        "import numpy as np\n",
        "\n",
        "# Columns to Normalize:\n",
        "# PayRate (salaried and hourly)\n",
        "# EmpSatisfaction and EmpSatisfaction2 (1-5 and 1-100 scales (minmax?))\n",
        "# MonthsWorked (create from DateofHire and DateofTermination (NaN for employees still working))\n",
        "\n",
        "# Normalize 'EmpSatisfaction' and 'EmpSatisfaction2' columns with MinMax Scaling\n",
        "scaler = MinMaxScaler(feature_range=(0,1))\n",
        "filtered['NormalizedEmpSatisfaction'] = scaler.fit_transform(filtered[['EmpSatisfaction']])\n",
        "filtered['NormalizedEmpSatisfaction2'] = scaler.fit_transform(filtered[['EmpSatisfaction2']])\n",
        "\n",
        "# Add 'MonthsWorked' column\n",
        "filtered['DateofHire'] = pd.to_datetime(filtered['DateofHire'])\n",
        "filtered['DateofTermination'] = pd.to_datetime(filtered['DateofTermination'])\n",
        "def calc_months_worked(x):\n",
        "    y = x['DateofTermination']\n",
        "    if pd.isnull(x['DateofTermination']):\n",
        "        y = pd.to_datetime('today')\n",
        "    return y - x['DateofHire']\n",
        "filtered['MonthsWorked'] = filtered.apply(calc_months_worked, axis=1) / np.timedelta64(1, 'M')\n",
        "\n",
        "# Normalize 'PayRate' column in 'NormalizedPay' column and add 'PayType' column\n",
        "filtered['PayType'] = filtered['PayRate'].apply(lambda x: 'Hourly' if x < 30 else 'Salaried')\n",
        "filtered['NormalizedPay'] = filtered['PayRate'].apply(lambda x: x if x < 30 else x / 40 / 52)\n",
        "\n",
        "# Normalize 'EngagementSurvey' in 'RoundEngagementSurvey'\n",
        "filtered['RoundEngagementSurvey'] = filtered['EngagementSurvey'].apply(round)\n",
        "\n",
        "# Bin 'NormalizedPay' in 'BinPay'\n",
        "filtered['BinPay'] = filtered['NormalizedPay'].apply(lambda x: f'${str(x // 10 % 10)[0]}0+')"
      ],
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EGZOjkYSblfH"
      },
      "source": [
        "\n",
        "## Data Visualizations"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ALLMN63FPyEQ",
        "outputId": "a23329cd-1c3b-4aa4-8cda-e190015b7f19",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "sns.set_style('darkgrid')\n",
        "\n",
        "meanprops = {\n",
        "    'marker':'o',\n",
        "    'markerfacecolor':'white',\n",
        "    'markeredgecolor':'black',\n",
        "    'markersize':5\n",
        "  }\n",
        "\n",
        "def print_engagement_means(plot,column):\n",
        "  means = [filtered[filtered[column] == x]['EngagementSurvey'].mean() for x in filtered[column].unique()]\n",
        "  for xtick in plot.get_xticks():\n",
        "    plot.text(xtick,means[xtick] - 0.5,round(means[xtick],2),horizontalalignment='center',size='medium',color='black',weight='semibold')\n",
        "\n",
        "# Engagement by Department\n",
        "eng_by_dept = sns.boxplot(x='Department',y='EngagementSurvey',data=filtered,showmeans=True,meanprops=meanprops)\n",
        "eng_by_dept.set_ylabel('Enagement Survey Results')\n",
        "eng_by_dept.set_title('Employee Engagement by Department')\n",
        "eng_by_dept.set_xticklabels(eng_by_dept.get_xticklabels(),rotation=30,horizontalalignment='right')\n",
        "print_engagement_means(eng_by_dept,'Department')\n",
        "plt.show()\n",
        "\n",
        "# Engagement by Manager\n",
        "plt.figure(figsize=(13,5))\n",
        "eng_by_mgr = sns.boxplot(x='ManagerName',y='EngagementSurvey',data=filtered,showmeans=True,meanprops=meanprops)\n",
        "eng_by_mgr.set_title('Employee Engagement by Manager')\n",
        "eng_by_mgr.set_xlabel('Manager Name')\n",
        "eng_by_mgr.set_ylabel('Engagement Survey Results')\n",
        "eng_by_mgr.set_xticklabels(eng_by_mgr.get_xticklabels(),rotation=30,horizontalalignment='right')\n",
        "print_engagement_means(eng_by_mgr,'ManagerName')\n",
        "plt.show()\n",
        "\n",
        "# Engagement vs Months Worked\n",
        "eng_by_months = sns.lineplot(x='MonthsWorked',y='EngagementSurvey',data=filtered)\n",
        "eng_by_months.set_title('Employee Engagement by Months Worked')\n",
        "eng_by_months.set_xlabel('Months Worked')\n",
        "eng_by_months.set_ylabel('Engagement Survey Results')\n",
        "plt.show()\n",
        "\n",
        "# Engagement by Gender\n",
        "eng_by_gender = sns.boxplot(x='Sex',y='EngagementSurvey',data=filtered,showmeans=True,meanprops=meanprops)\n",
        "eng_by_gender.set_title('Employee Engagement by Gender')\n",
        "eng_by_gender.set_xlabel('Gender')\n",
        "eng_by_gender.set_ylabel('Engagement Survey Results')\n",
        "eng_by_gender.set_xticklabels(['Female','Male'])\n",
        "print_engagement_means(eng_by_gender,'Sex')\n",
        "plt.show()\n",
        "\n",
        "# Engagement by Race\n",
        "eng_by_race = sns.boxplot(x='RaceDesc',y='EngagementSurvey',data=filtered,showmeans=True,meanprops=meanprops)\n",
        "eng_by_race.set_title('Employee Engagement by Race')\n",
        "eng_by_race.set_xlabel('Race')\n",
        "eng_by_race.set_ylabel('Engagement Survey Results')\n",
        "eng_by_race.set_xticklabels(eng_by_race.get_xticklabels(), rotation=30, horizontalalignment='right')\n",
        "print_engagement_means(eng_by_race,'RaceDesc')\n",
        "plt.show()\n",
        "\n",
        "# Engagement by Performance Score\n",
        "eng_by_perf = sns.boxplot(x='PerformanceScore',y='EngagementSurvey',data=filtered,showmeans=True,meanprops=meanprops)\n",
        "eng_by_perf.set_title('Employee Engagement by Performance Score')\n",
        "eng_by_perf.set_xlabel('Performance Score')\n",
        "eng_by_perf.set_ylabel('Engagement Survey Results')\n",
        "print_engagement_means(eng_by_perf,'PerformanceScore')\n",
        "plt.show()\n",
        "\n",
        "# Engagement by Pay Rate\n",
        "eng_by_pay = sns.boxplot(x='BinPay',y='EngagementSurvey',data=filtered,showmeans=True,meanprops=meanprops)\n",
        "eng_by_pay.set_title('Employee Engagement by Hourly Pay Rate')\n",
        "eng_by_pay.set_xlabel('Hourly Pay Rate')\n",
        "eng_by_pay.set_ylabel('Engagement Survey Results')\n",
        "print_engagement_means(eng_by_pay,'BinPay')\n",
        "plt.show()\n",
        "\n",
        "# Engagement by Pay Type\n",
        "eng_by_paytype = sns.boxplot(x='PayType',y='EngagementSurvey',data=filtered,showmeans=True,meanprops=meanprops)\n",
        "eng_by_paytype.set_title('Employee Engagement by Pay Type')\n",
        "eng_by_paytype.set_xlabel('Pay Type')\n",
        "eng_by_paytype.set_ylabel('Engagement Survey Results')\n",
        "print_engagement_means(eng_by_paytype,'PayType')\n",
        "plt.show()\n",
        "\n",
        "# Engagement by Special Projects\n",
        "eng_by_proj = sns.boxplot(x='SpecialProjectsCount',y='EngagementSurvey',data=filtered,showmeans=True,meanprops=meanprops)\n",
        "eng_by_proj.set_title('Employee Engagement by Special Projects Count')\n",
        "eng_by_proj.set_xlabel('Special Projects Count')\n",
        "eng_by_proj.set_ylabel('Engagement Survey Results')\n",
        "print_engagement_means(eng_by_proj,'SpecialProjectsCount')\n",
        "plt.show()"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 936x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}