DataAnalysis.ipynb

{
  "cells": [
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      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
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      "source": [
        "<a href=\"https://colab.research.google.com/github/cruzdariel/Data118/blob/main/DataAnalysis.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "<img src=\"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQIbM9xMoM7XWvpmPRPtAsMnIyVLvlaWopGF7k4GtYNBTL1Uj7OfMktStIUKlsRKYgcmg&usqp=CAU\"></img>\n",
        "\n",
        "# Analysis of OCPSAllDataLeaderView.csv"
      ],
      "metadata": {
        "id": "vYTnNPJwiKYG"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ws5Sv8ijg6ES"
      },
      "source": [
        "### Privacy Disclaimer\n",
        "\n",
        " This Jupyter Notebook contains sensitive and confidential information that includes data protected under Florida's Sunshine Laws. Unauthorized disclosure, distribution, or copying of this data is strictly prohibited. **This document is intended solely for the use of the authorized recipient(s) and is not for public disclosure.**\n",
        "\n",
        "If you are not the intended recipient, please notify the sender immediately, delete this notebook from your system, and do not disclose its contents to any other person, use it for any purpose, or store or copy any of the information contained herein.\n",
        "\n",
        "By accessing and using this notebook, you agree to comply with all applicable confidentiality and data protection laws and policies."
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "### Attributions\n",
        "(C) Dariel Cruz Rodriguez, 2024, under work for Orange County Public Schools."
      ],
      "metadata": {
        "id": "rt6PLIkpiiz6"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n",
        "### Code\n"
      ],
      "metadata": {
        "id": "kv_hzsr9ipSs"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "pip install adjustText"
      ],
      "metadata": {
        "id": "l7xzU8u7aMPs",
        "outputId": "92eaba9b-0cb3-48df-8e6f-f66548a0c340",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting adjustText\n",
            "  Downloading adjustText-1.1.1-py3-none-any.whl (11 kB)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from adjustText) (1.25.2)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (from adjustText) (3.7.1)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from adjustText) (1.11.4)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->adjustText) (1.2.1)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib->adjustText) (0.12.1)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->adjustText) (4.53.0)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->adjustText) (1.4.5)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->adjustText) (24.1)\n",
            "Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->adjustText) (9.4.0)\n",
            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->adjustText) (3.1.2)\n",
            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib->adjustText) (2.8.2)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib->adjustText) (1.16.0)\n",
            "Installing collected packages: adjustText\n",
            "Successfully installed adjustText-1.1.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Tox98syXg6EU"
      },
      "outputs": [],
      "source": [
        "# Modules utilized in this code\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "from adjustText import adjust_text\n",
        "import statsmodels.api as sm"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "jC0tWqCQg6EV",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "bdaff5b0-9e1e-4bb4-d2a3-4aa518fedb4e"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'avg_barrierstoengagement': 82.38805970149254, 'avg_barrierstoengagement_notd2': 82.53768844221105, 'avg_schoolclimate': 79.41791044776119, 'avg_schoolclimate_notd2': 79.66331658291458, 'avg_schoolfit_notd2': 73.97989949748744, 'avg_schoolfit': 73.74626865671642}\n",
            "{'avg_belonging': 70.7412935323383, 'avg_belonging_notd2': 70.87939698492463, 'avg_feedbackandcoaching': 58.13930348258707, 'avg_feedbackandcoaching_notd2': 58.30653266331658, 'avg_resources': 44.61194029850746, 'avg_resources_notd2': 44.73869346733668, 'avg_schoolclimate': 59.56716417910448, 'avg_schoolclimate_notd2': 59.7286432160804, 'avg_schoolleadership': 63.069651741293534, 'avg_schoolleadership_notd2': 63.301507537688444, 'avg_selfreflection': 81.67164179104478, 'avg_selfreflection_notd2': 81.72361809045226, 'avg_teachingefficacy': 78.2089552238806, 'avg_teaching efficacy_notd2': 78.23115577889448}\n",
            "{'avg_belonging': 74.05, 'avg_belonging_notd2': 74.17676767676768, 'avg_feedbackandcoaching': 60.965, 'avg_feedbackandcoaching_notd2': 61.121212121212125, 'avg_resources': 47.98, 'avg_resources_notd2': 48.0959595959596, 'avg_schoolclimate': 66.975, 'avg_schoolclimate_notd2': 67.12626262626263, 'avg_schoolleadership': 72.29, 'avg_schoolleadership_notd2': 72.47979797979798}\n",
            "{'avg_rigor': 59.08, 'avg_rigor_notd2': 59.08, 'avg_schoolclimate': 34.28, 'avg_schoolclimate_notd2': 34.28, 'avg_selfmanagement': 65.4, 'avg_selfmanagement_notd2': 65.4, 'avg_senseofbelonging': 37.72, 'avg_senseofbelonging_notd2': 37.72, 'average_teacherstudentrelationships': 46.2, 'average_teacherstudentrelationships_notd2': 46.2}\n",
            "{'avg_rigor': 51.86363636363637, 'avg_rigor_notd2': 51.95, 'avg_schoolclimate': 31.59090909090909, 'avg_schoolclimate_notd2': 31.85, 'avg_selfmanagement': 68.9090909090909, 'avg_selfmanagement_notd2': 68.95, 'avg_senseofbelonging': 32.72727272727273, 'avg_senseofbelonging_notd2': 32.75, 'average_teacherstudentrelationships': 40.5, 'average_teacherstudentrelationships_notd2': 40.45}\n"
          ]
        }
      ],
      "source": [
        "# Defining data sources\n",
        "url = \"https://raw.githubusercontent.com/cruzdariel/OCPSAllDataLeaderView2024/main/OrangeCountyPublicSchoolsAllDataLeadershipView10Jun2024.csv\"\n",
        "url2 = \"https://raw.githubusercontent.com/cruzdariel/OCPSAllDataLeaderView2024/main/budgets.csv\" # Fellow entered budgets and presence of PTAs for each school\n",
        "\n",
        "df = pd.read_csv(url) # All schools\n",
        "df = df[~df['Name'].isin([\n",
        "    \"OCVS VIRTUAL INSTRUCTION COURSE OFFERING\",\n",
        "    \"ORANGE CENTER ELEMENTARY\",\n",
        "    \"TIMBER LAKES ELEMENTARY\",\n",
        "    \"ACCESS AND OPPORTUNITY\",\n",
        "    \"ACCOUNTS PAYABLE\",\n",
        "    \"CURRICULUM & DIGITAL LEARNING\",\n",
        "    \"CURRICULUM AND INSTRUCTION\",\n",
        "    \"CUSTODIAL SERVICES\",\n",
        "    \"DISTRICT POLICE and PROTECTIVE SERVICES\",\n",
        "    \"ELEMENTARY SCHOOLS\",\n",
        "    \"EMPLOYMENT SERVICES\",\n",
        "    \"ENVIRONMENTAL COMPLIANCE AND SUSTAINABIL\",\n",
        "    \"ESE INSTRUCTIONAL SUPPORT\",\n",
        "    \"ESE POL & PRO & SUP SVC NONPUB\",\n",
        "    \"ESE POL & PROCEDURES PUB K12\",\n",
        "    \"ESE SPEC PROG & BEHAVIOR SUPP\",\n",
        "    \"ESE SUPPLEMENTAL SERVICES\",\n",
        "    \"FACILITIES SERVICES CONSTRUCTION\",\n",
        "    \"FACILITIES SVC MAINTENANCE and FACILITIE\",\n",
        "    \"FEDERAL PROGRAMS\",\n",
        "    \"FINANCE\",\n",
        "    \"FOOD AND NUTRITION SERVICES\",\n",
        "    \"GROUNDS LANDSCAPING AND PEST CONTROL SVC\",\n",
        "    \"HR COMPLIANCE\",\n",
        "    \"ITS CUSTOMER CARE\",\n",
        "    \"ITS ENTERPRISE PROJECTS\",\n",
        "    \"ITS INFRASTRUCTURE\",\n",
        "    \"MAINTENANCE NORTHEAST\",\n",
        "    \"MAINTENANCE NORTHWEST\",\n",
        "    \"MAINTENANCE SOUTH\",\n",
        "    \"MULTILINGUAL SERVICES\",\n",
        "    \"OFFICE OF MANAGEMENT AND BUDGET\",\n",
        "    \"PAYROLL SERVICES\",\n",
        "    \"PROCUREMENT SVCS AND FAC CONST CONTRACT\",\n",
        "    \"PROFESSIONAL LEARNING\",\n",
        "    \"PROFESSIONAL STANDARDS\",\n",
        "    \"PSYCHOLOGICAL & SOCIAL SERVICES\",\n",
        "    \"PUBLIC RELATIONS\",\n",
        "    \"RESEARCH, MEASUREMENT AND STRATEGY\",\n",
        "    \"RISK MANAGEMENT\",\n",
        "    \"SCHOOL CHOICE SERVICES\",\n",
        "    \"SCHOOL TRANSFORMATION OFFICE\",\n",
        "    \"STUDENT ENROLLMENT\",\n",
        "    \"STUDENT INFORMATION SYSTEMS AND PROJECTS\",\n",
        "    \"STUDENT SERVICES\",\n",
        "    \"TRANSPORTATION ADMINISTRATION\",\n",
        "    \"TRANSPORTATION STUDENT SVCS\",\n",
        "    \"TRANSPORTATION SUPPORT SERVICES\",\n",
        "    \"VOCATIONAL TECHNICAL EDUCATION\",\n",
        "    \"AMIKIDS ORLANDO\",\n",
        "    \"OCVS VIRTUAL INSTRUCTION PROGRAM\",\n",
        "    \"HOSPITAL HOMEBOUND\",\n",
        "    \"BETA\",\n",
        "    \"ESE TRANSITION\",\n",
        "    \"RANDALL ACADEMY\",\n",
        "    \"SIMON YOUTH FOUND ACAD AT OUTLET MKTPLCE\",\n",
        "    \"ORANGE TECHNICAL COLLEGE MID FLORIDA CMP\",\n",
        "    \"ORANGE TECHNICAL COLLEGE ORLANDO CAMPUS\",\n",
        "    \"ORANGE TECHNICAL COLLEGE WESTSIDE CAMPUS\",\n",
        "    \"ORANGE TECHNICAL COLLEGE WINTER PARK CMP\",\n",
        "    \"ORANGE YOUTH ACADEMY\",\n",
        "    \"PACE CENTER FOR GIRLS\",\n",
        "    \"MAGNOLIA\",\n",
        "    \"UNIVERSAL EDUCATION CENTER\",\n",
        "    \"POSITIVE PATHWAYS TRANSITION CENTER\",\n",
        "    \"ESTEEM ACADEMY\",\n",
        "    \"SILVER PINES ACADEMY K12 LEARNING CENTER\",\n",
        "    \"ACCELERATION EAST\",\n",
        "    \"ACCELERATION WEST\",\n",
        "    \"OCVS VIRTUAL FRANCHISE\"\n",
        "])] # Filterning non traditional K12\n",
        "df = df.drop(columns=['Central Office','Department Climate','Department Leadership','Feedback and Coaching.2','Resources.2','Spring 2024 Family Survey','Teacher'])\n",
        "df = df.rename(columns={'Rigorous Expectations.1':'Rigorous Expectations (MS)','School Climate.1':'School Climate (MS)','Self-Management.1':'Self-Management (MS)','Sense of Belonging.1':'Sense of Belonging (MS)','Teacher-Student Relationships.1':'Teacher-Student Relationships (MS)'})\n",
        "df = df.rename(columns={'Belonging':'Belonging (staff)','Feedback and Coaching':'Feedback and Coaching (staff)','Resources':'Resources (staff)','School Climate.2':'School Climate (staff)','School Leadership':'School Leadership (staff)','Belonging.1':'Belonging (teacher)','Feedback and Coaching.1':'Feedback and Coaching (teacher)','Resources.1':'Resources (teacher)','School Climate.3':'School Climate (teacher)','School Leadership.1':'School Leadership (teacher)','Teacher Self-Reflection':'Self-Reflection (teacher)','Teaching Efficacy':'Teaching Efficacy (teacher)','Barriers to Engagement':'Barriers to Engagement (springsurvey)','School Climate.4':'School Climate (springsurvey)','School Fit':'School Fit (spring survey)'})\n",
        "df_district2 = df[df['Name'].isin(['LAKE NONA HIGH', 'COLONIAL HIGH'])] # District 2 Schools\n",
        "df_notdistrict2 = df[~df['Name'].isin(['LAKE NONA HIGH', 'COLONIAL HIGH'])] # Non District 2 Schools\n",
        "\n",
        "colonial_hs = df[df['Name'] == 'COLONIAL HIGH']\n",
        "lake_nona_hs = df[df['Name'] == 'LAKE NONA HIGH']\n",
        "\n",
        "# Averages for each class of survey participants\n",
        "hs = {'avg_rigor': np.mean(df['Rigorous Expectations']),\n",
        "      'avg_rigor_notd2': np.mean(df_notdistrict2['Rigorous Expectations']),\n",
        "      'avg_schoolclimate': np.mean(df['School Climate']),\n",
        "      'avg_schoolclimate_notd2': np.mean(df_notdistrict2['School Climate']),\n",
        "      'avg_selfmanagement': np.mean(df['Self-Management']),\n",
        "      'avg_selfmanagement_notd2': np.mean(df_notdistrict2['Self-Management']),\n",
        "      'avg_senseofbelonging': np.mean(df['Sense of Belonging']),\n",
        "      'avg_senseofbelonging_notd2': np.mean(df_notdistrict2['Sense of Belonging']),\n",
        "      'average_teacherstudentrelationships':np.mean(df['Teacher-Student Relationships']),\n",
        "      'average_teacherstudentrelationships_notd2': np.mean(df_notdistrict2['Teacher-Student Relationships'])}\n",
        "\n",
        "ms = {'avg_rigor': np.mean(df['Rigorous Expectations (MS)']),\n",
        "      'avg_rigor_notd2': np.mean(df_notdistrict2['Rigorous Expectations (MS)']),\n",
        "      'avg_schoolclimate': np.mean(df['School Climate (MS)']),\n",
        "      'avg_schoolclimate_notd2': np.mean(df_notdistrict2['School Climate (MS)']),\n",
        "      'avg_selfmanagement': np.mean(df['Self-Management (MS)']),\n",
        "      'avg_selfmanagement_notd2': np.mean(df_notdistrict2['Self-Management (MS)']),\n",
        "      'avg_senseofbelonging': np.mean(df['Sense of Belonging (MS)']),\n",
        "      'avg_senseofbelonging_notd2': np.mean(df_notdistrict2['Sense of Belonging (MS)']),\n",
        "      'average_teacherstudentrelationships':np.mean(df['Teacher-Student Relationships (MS)']),\n",
        "      'average_teacherstudentrelationships_notd2': np.mean(df_notdistrict2['Teacher-Student Relationships (MS)'])}\n",
        "\n",
        "staff = {'avg_belonging': np.mean(df['Belonging (staff)']),\n",
        "        'avg_belonging_notd2': np.mean(df_notdistrict2['Belonging (staff)']),\n",
        "        'avg_feedbackandcoaching': np.mean(df['Feedback and Coaching (staff)']),\n",
        "        'avg_feedbackandcoaching_notd2': np.mean(df_notdistrict2['Feedback and Coaching (staff)']),\n",
        "        'avg_resources': np.mean(df['Resources (staff)']),\n",
        "        'avg_resources_notd2': np.mean(df_notdistrict2['Resources (staff)']),\n",
        "        'avg_schoolclimate': np.mean(df['School Climate (staff)']),\n",
        "        'avg_schoolclimate_notd2': np.mean(df_notdistrict2['School Climate (staff)']),\n",
        "        'avg_schoolleadership': np.mean(df['School Leadership (staff)']),\n",
        "        'avg_schoolleadership_notd2': np.mean(df_notdistrict2['School Leadership (staff)'])\n",
        "         }\n",
        "\n",
        "teachers = {'avg_belonging': np.mean(df['Belonging (teacher)']),\n",
        "          'avg_belonging_notd2': np.mean(df_notdistrict2['Belonging (teacher)']),\n",
        "          'avg_feedbackandcoaching': np.mean(df['Feedback and Coaching (teacher)']),\n",
        "          'avg_feedbackandcoaching_notd2': np.mean(df_notdistrict2['Feedback and Coaching (teacher)']),\n",
        "          'avg_resources': np.mean(df['Resources (teacher)']),\n",
        "          'avg_resources_notd2': np.mean(df_notdistrict2['Resources (teacher)']),\n",
        "          'avg_schoolclimate': np.mean(df['School Climate (teacher)']),\n",
        "          'avg_schoolclimate_notd2': np.mean(df_notdistrict2['School Climate (teacher)']),\n",
        "          'avg_schoolleadership': np.mean(df['School Leadership (teacher)']),\n",
        "          'avg_schoolleadership_notd2': np.mean(df_notdistrict2['School Leadership (teacher)']),\n",
        "          'avg_selfreflection': np.mean(df['Self-Reflection (teacher)']),\n",
        "          'avg_selfreflection_notd2': np.mean(df_notdistrict2['Self-Reflection (teacher)']),\n",
        "          'avg_teachingefficacy': np.mean(df['Teaching Efficacy (teacher)']),\n",
        "          'avg_teaching efficacy_notd2': np.mean(df_notdistrict2['Teaching Efficacy (teacher)'])\n",
        "          }\n",
        "\n",
        "springsurvey = {'avg_barrierstoengagement': np.mean(df['Barriers to Engagement (springsurvey)']),\n",
        "                'avg_barrierstoengagement_notd2': np.mean(df_notdistrict2['Barriers to Engagement (springsurvey)']),\n",
        "                'avg_schoolclimate': np.mean(df['School Climate (springsurvey)']),\n",
        "                'avg_schoolclimate_notd2': np.mean(df_notdistrict2['School Climate (springsurvey)']),\n",
        "                'avg_schoolfit_notd2': np.mean(df_notdistrict2['School Fit (spring survey)']),\n",
        "                'avg_schoolfit': np.mean(df['School Fit (spring survey)'])\n",
        "                }\n",
        "\n",
        "print(springsurvey)\n",
        "print(teachers)\n",
        "print(staff)\n",
        "print(ms)\n",
        "print(hs)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pd.set_option('display.max_columns', 1000)\n",
        "df.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 372
        },
        "id": "NAYUMn8oUPGF",
        "outputId": "86f0303f-6f5b-4fcf-de0b-d206b3aeb5ca"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       (9-12)  Rigorous Expectations  School Climate  Self-Management  \\\n",
              "count     0.0              22.000000       22.000000        22.000000   \n",
              "mean      NaN              51.863636       31.590909        68.909091   \n",
              "std       NaN               3.562977        6.044747         3.490246   \n",
              "min       NaN              44.000000       21.000000        64.000000   \n",
              "25%       NaN              49.500000       28.000000        66.000000   \n",
              "50%       NaN              53.000000       31.000000        68.500000   \n",
              "75%       NaN              54.000000       35.500000        71.750000   \n",
              "max       NaN              57.000000       43.000000        76.000000   \n",
              "\n",
              "       Sense of Belonging  Teacher-Student Relationships  (6-8)  \\\n",
              "count           22.000000                      22.000000    0.0   \n",
              "mean            32.727273                      40.500000    NaN   \n",
              "std              5.156428                       3.839023    NaN   \n",
              "min             23.000000                      32.000000    NaN   \n",
              "25%             29.250000                      38.000000    NaN   \n",
              "50%             32.500000                      42.000000    NaN   \n",
              "75%             36.750000                      43.000000    NaN   \n",
              "max             44.000000                      46.000000    NaN   \n",
              "\n",
              "       Rigorous Expectations (MS)  School Climate (MS)  Self-Management (MS)  \\\n",
              "count                   50.000000            50.000000             50.000000   \n",
              "mean                    59.080000            34.280000             65.400000   \n",
              "std                      5.605537             7.114343              6.321328   \n",
              "min                     48.000000            23.000000             51.000000   \n",
              "25%                     55.000000            28.250000             61.250000   \n",
              "50%                     59.000000            34.000000             65.500000   \n",
              "75%                     63.000000            40.000000             71.000000   \n",
              "max                     71.000000            57.000000             79.000000   \n",
              "\n",
              "       Sense of Belonging (MS)  Teacher-Student Relationships (MS)  Staff  \\\n",
              "count                50.000000                           50.000000    0.0   \n",
              "mean                 37.720000                           46.200000    NaN   \n",
              "std                   6.676306                            7.556589    NaN   \n",
              "min                  27.000000                           32.000000    NaN   \n",
              "25%                  31.000000                           39.250000    NaN   \n",
              "50%                  39.000000                           46.500000    NaN   \n",
              "75%                  42.000000                           51.750000    NaN   \n",
              "max                  56.000000                           65.000000    NaN   \n",
              "\n",
              "       Belonging (staff)  Feedback and Coaching (staff)  Resources (staff)  \\\n",
              "count         200.000000                     200.000000         200.000000   \n",
              "mean           74.050000                      60.965000          47.980000   \n",
              "std            11.620788                      13.343313          13.094922   \n",
              "min            36.000000                      27.000000          14.000000   \n",
              "25%            66.750000                      52.000000          39.000000   \n",
              "50%            74.000000                      61.000000          48.000000   \n",
              "75%            83.000000                      70.000000          57.000000   \n",
              "max            99.000000                      95.000000          86.000000   \n",
              "\n",
              "       School Climate (staff)  School Leadership (staff)  Belonging (teacher)  \\\n",
              "count              200.000000                 200.000000           201.000000   \n",
              "mean                66.975000                  72.290000            70.741294   \n",
              "std                 15.430648                  14.969513            10.901502   \n",
              "min                 23.000000                  26.000000            47.000000   \n",
              "25%                 56.750000                  64.000000            63.000000   \n",
              "50%                 69.000000                  73.500000            71.000000   \n",
              "75%                 79.000000                  84.000000            79.000000   \n",
              "max                 99.000000                  98.000000            96.000000   \n",
              "\n",
              "       Feedback and Coaching (teacher)  Resources (teacher)  \\\n",
              "count                       201.000000           201.000000   \n",
              "mean                         58.139303            44.611940   \n",
              "std                          13.751382            12.328774   \n",
              "min                          23.000000            19.000000   \n",
              "25%                          48.000000            35.000000   \n",
              "50%                          59.000000            43.000000   \n",
              "75%                          69.000000            53.000000   \n",
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              "75%                                 87.00000                      88.000000   \n",
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              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-277fbfad-02fa-4ef2-9ccf-3ea2d4a4c0e4 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe"
            }
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Correlations (HS)"
      ],
      "metadata": {
        "id": "P_YkUBYeicTJ"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Rigorous Expectations and/vs School Climate Scores"
      ],
      "metadata": {
        "id": "0UJgxJW2iT5p"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "TgMwgr0qg6EX",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "7f96dd3f-5480-4c91-d318-d6a5f8732f6d"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                            OLS Regression Results                            \n",
            "==============================================================================\n",
            "Dep. Variable:         School Climate   R-squared:                       0.658\n",
            "Model:                            OLS   Adj. R-squared:                  0.640\n",
            "Method:                 Least Squares   F-statistic:                     38.41\n",
            "Date:                Fri, 21 Jun 2024   Prob (F-statistic):           4.70e-06\n",
            "Time:                        16:48:48   Log-Likelihood:                -58.497\n",
            "No. Observations:                  22   AIC:                             121.0\n",
            "Df Residuals:                      20   BIC:                             123.2\n",
            "Df Model:                           1                                         \n",
            "Covariance Type:            nonrobust                                         \n",
            "=========================================================================================\n",
            "                            coef    std err          t      P>|t|      [0.025      0.975]\n",
            "-----------------------------------------------------------------------------------------\n",
            "const                   -39.7625     11.538     -3.446      0.003     -63.831     -15.694\n",
            "Rigorous Expectations     1.3758      0.222      6.198      0.000       0.913       1.839\n",
            "==============================================================================\n",
            "Omnibus:                        3.900   Durbin-Watson:                   1.788\n",
            "Prob(Omnibus):                  0.142   Jarque-Bera (JB):                3.074\n",
            "Skew:                           0.907   Prob(JB):                        0.215\n",
            "Kurtosis:                       2.755   Cond. No.                         776.\n",
            "==============================================================================\n",
            "\n",
            "Notes:\n",
            "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
          ]
        }
      ],
      "source": [
        "plt.style.use('default')\n",
        "\n",
        "#Boxplot for Rigorous Expectations\n",
        "plt.boxplot([df['Rigorous Expectations'].dropna(), df['School Climate'].dropna()], labels=['Rigorous Expecations', 'School Climate'], vert=True)\n",
        "plt.title('Boxplot of Rigorous Expectations and School Climate')\n",
        "plt.scatter(1, colonial_hs['Rigorous Expectations'], color='red', zorder=5, label=\"Colonial HS\")\n",
        "plt.scatter(1, lake_nona_hs['Rigorous Expectations'], color='blue', zorder=5, label=\"Lake Nona HS\")\n",
        "plt.scatter(2, colonial_hs['School Climate'], color='red', zorder=5)\n",
        "plt.scatter(2, lake_nona_hs['School Climate'], color='blue', zorder=5)\n",
        "plt.legend()\n",
        "plt.ylabel('Scores')\n",
        "plt.show()\n",
        "\n",
        "# All High Schools - School Climate vs. Rigor Expectations Score\n",
        "plt.scatter(df['Rigorous Expectations'],\n",
        "            df['School Climate'],\n",
        "            c='black')\n",
        "plt.scatter(colonial_hs['Rigorous Expectations'],\n",
        "            colonial_hs['School Climate'],\n",
        "            c='red',\n",
        "            label='Colonial High')\n",
        "plt.scatter(colonial_hs['Rigorous Expectations'],\n",
        "            lake_nona_hs['School Climate'],\n",
        "            c='blue',\n",
        "            label='Lake Nona High')\n",
        "plt.scatter(hs['avg_rigor_notd2'],\n",
        "            hs['avg_schoolclimate_notd2'],\n",
        "            color='grey',\n",
        "            label='Average - All Schools')\n",
        "plt.scatter(hs['avg_rigor'],\n",
        "            hs['avg_schoolclimate'],\n",
        "            color='tan',\n",
        "            label='Average - Without D2')\n",
        "plt.title('School Climate vs. Rigorous Expectations Score - All High Schools')\n",
        "plt.xlabel('Rigorous Expectations Score')\n",
        "plt.ylabel('School Climate Score')\n",
        "plt.xlim(20, 80)\n",
        "plt.ylim(20, 80)\n",
        "plt.legend()\n",
        "plt.show()\n",
        "\n",
        "# All High Schools - School Climate vs. Rigor Expectations Score (Scores above 50)\n",
        "texts = []\n",
        "for x in df.index:\n",
        "    if df.loc[x, 'Rigorous Expectations'] > 50 and df.loc[x, 'School Climate'] > 40:\n",
        "        plt.scatter(df.loc[x, 'Rigorous Expectations'], df.loc[x, 'School Climate'], color=\"black\")\n",
        "      #  texts.append(plt.text(df.loc[x, 'Rigorous Expectations'], df.loc[x, 'School Climate'], df.loc[x, 'Name'],\n",
        "                     #         fontsize=9, ha='right', va='bottom'))\n",
        "plt.scatter(colonial_hs['Rigorous Expectations'],\n",
        "            colonial_hs['School Climate'],\n",
        "            c='red',\n",
        "            label='Colonial High')\n",
        "plt.scatter(lake_nona_hs['Rigorous Expectations'],\n",
        "            lake_nona_hs['School Climate'],\n",
        "            c='blue',\n",
        "            label='Lake Nona High')\n",
        "plt.scatter(hs['avg_rigor_notd2'],\n",
        "            hs['avg_schoolclimate_notd2'],\n",
        "            color='grey',\n",
        "            label='Average - Without D2')\n",
        "plt.scatter(hs['avg_rigor'],\n",
        "            hs['avg_schoolclimate'],\n",
        "            color='tan',\n",
        "            label='Average - All Schools')\n",
        "top_points = df[(df['Rigorous Expectations'] > 50) & (df['School Climate'] > 40)]\n",
        "offsets = [(-60, 10), (-10, 40)]  # Different offsets for each point\n",
        "for idx, (offset, row) in enumerate(zip(offsets, top_points.iterrows())):\n",
        "    row = row[1]\n",
        "    plt.scatter(row['Rigorous Expectations'], row['School Climate'], color='black')\n",
        "    plt.annotate(\n",
        "        row['Name'],\n",
        "        (row['Rigorous Expectations'], row['School Climate']),\n",
        "        textcoords=\"offset points\",\n",
        "        xytext=offset,  # Adjust this to move the label to a desired position\n",
        "        ha='center',\n",
        "        arrowprops=dict(arrowstyle='->', connectionstyle='arc3,rad=0.5', color='black')\n",
        "    )\n",
        "plt.title('School Climate vs. Rigorous Expectations Score - Top High Schools')\n",
        "plt.xlabel('Rigorous Expectations Score')\n",
        "plt.ylabel('School Climate Score')\n",
        "plt.xlim(20, 80)\n",
        "plt.ylim(20, 80)\n",
        "plt.legend()\n",
        "plt.show()\n",
        "\n",
        "# OLS Regression between Rigorous Expectations and School Climate\n",
        "y = df['School Climate']\n",
        "X = df['Rigorous Expectations']\n",
        "\n",
        "X = X.replace([np.inf, -np.inf], np.nan).dropna()\n",
        "y = y.loc[X.index]\n",
        "\n",
        "X = sm.add_constant(X)\n",
        "model = sm.OLS(y, X).fit()\n",
        "print(model.summary())"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The graphs and statistical regression above tell the following:\n",
        "* Among high schools, Colonial and Lake Nona rank within the lowest 25% of **Rigorous Expectation** scores, and there is no difference between the two schools.\n",
        "\n",
        "* Among high schools, Colonial ranks in the lowest 25% of **School Climate** scores, while Lake Nona ranks in the middle 50% of **School Climate** scores (very close to the mean/average score). There is a difference of about 5 points between both schools.\n",
        "\n",
        "* School Climate scores and rigorous expectation scores are **strongly correlated** (R=0.811171992), suggesting that there is an positive association between schools with a good climate and schools that set rigorous expectations.\n",
        "** On average, every 1 point increase in School Climate, Rigorous Expectations increases by 1.3758.\n",
        "** There are multiple factors other than Rigorous Expectations influencing School Climate scores, and vice versa. 65.8% of the variability in School Climate is accounted for by Rigorous Expectations, meaning the remaining 34.2% of the variability is due to other factors."
      ],
      "metadata": {
        "id": "9o3-sw3QpELi"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Rigorous Expectations and/vs Sense of Belonging"
      ],
      "metadata": {
        "id": "i4p9BOOztDJo"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "xinput = \"Rigorous Expectations\" # @param {type:\"string\"}\n",
        "yinput = \"Sense of Belonging\" # @param {type:\"string\"}\n",
        "averagex = \"avg_rigor\" # @param {type:\"string\"}\n",
        "averagey = \"avg_senseofbelonging\" # @param {type:\"string\"}\n",
        "averagexnod2 = averagex + \"_notd2\"\n",
        "averageynod2 = averagey + \"_notd2\"\n",
        "plt.style.use('default')\n",
        "\n",
        "#Boxplot for Rigorous Expectations\n",
        "plt.boxplot([df[xinput].dropna(), df[yinput].dropna()], labels=[xinput, yinput], vert=True)\n",
        "plt.title('Boxplot for ' + xinput + ' and ' + yinput)\n",
        "plt.scatter(1, colonial_hs[xinput], color='red', zorder=5, label=\"Colonial HS\")\n",
        "plt.scatter(1, lake_nona_hs[xinput], color='blue', zorder=5, label=\"Lake Nona HS\")\n",
        "plt.scatter(2, colonial_hs[yinput], color='red', zorder=5)\n",
        "plt.scatter(2, lake_nona_hs[yinput], color='blue', zorder=5)\n",
        "plt.legend()\n",
        "plt.ylabel('Scores')\n",
        "plt.show()\n",
        "\n",
        "# All High Schools - School Climate vs. Rigor Expectations Score\n",
        "plt.scatter(df[xinput],\n",
        "            df[yinput],\n",
        "            c='black')\n",
        "plt.scatter(colonial_hs[xinput],\n",
        "            colonial_hs[yinput],\n",
        "            c='red',\n",
        "            label='Colonial High')\n",
        "plt.scatter(colonial_hs[xinput],\n",
        "            lake_nona_hs[yinput],\n",
        "            c='blue',\n",
        "            label='Lake Nona High')\n",
        "plt.scatter(hs[averagex],\n",
        "            hs[averagey],\n",
        "            color='grey',\n",
        "            label='Average - All Schools')\n",
        "plt.scatter(hs[averagexnod2],\n",
        "            hs[averageynod2],\n",
        "            color='tan',\n",
        "            label='Average - Without D2')\n",
        "plt.title('Scores for ' + xinput + ' and ' + yinput + ' - All High Schools')\n",
        "plt.xlabel(xinput)\n",
        "plt.ylabel(yinput)\n",
        "plt.xlim(20, 80)\n",
        "plt.ylim(20, 80)\n",
        "plt.legend()\n",
        "plt.show()\n",
        "\n",
        "# All High Schools - School Climate vs. Rigor Expectations Score (Scores above 50)\n",
        "texts = []\n",
        "for x in df.index:\n",
        "    if df.loc[x, xinput] > 50 and df.loc[x, yinput] > 40:\n",
        "        plt.scatter(df.loc[x, xinput], df.loc[x, yinput], color=\"black\")\n",
        "      #  texts.append(plt.text(df.loc[x, xinput], df.loc[x, yinput], df.loc[x, 'Name'],\n",
        "                     #         fontsize=9, ha='right', va='bottom'))\n",
        "plt.scatter(colonial_hs[xinput],\n",
        "            colonial_hs[yinput],\n",
        "            c='red',\n",
        "            label='Colonial High')\n",
        "plt.scatter(lake_nona_hs[xinput],\n",
        "            lake_nona_hs[yinput],\n",
        "            c='blue',\n",
        "            label='Lake Nona High')\n",
        "plt.scatter(hs[averagex],\n",
        "            hs[averagey],\n",
        "            color='grey',\n",
        "            label='Average - All Schools')\n",
        "plt.scatter(hs[averagexnod2],\n",
        "            hs[averageynod2],\n",
        "            color='tan',\n",
        "            label='Average - Without D2')\n",
        "top_points = df[(df[xinput] > 50) & (df[yinput] > 40)]\n",
        "offsets = [(-60, 10), (-10, 40)]  # Different offsets for each point\n",
        "for idx, (offset, row) in enumerate(zip(offsets, top_points.iterrows())):\n",
        "    row = row[1]\n",
        "    plt.scatter(row[xinput], row[yinput], color='black')\n",
        "    plt.annotate(\n",
        "        row['Name'],\n",
        "        (row[xinput], row[yinput]),\n",
        "        textcoords=\"offset points\",\n",
        "        xytext=offset,  # Adjust this to move the label to a desired position\n",
        "        ha='center',\n",
        "        arrowprops=dict(arrowstyle='->', connectionstyle='arc3,rad=0.5', color='black')\n",
        "    )\n",
        "plt.title('Scores for ' + xinput + ' and ' + yinput + ' - Top High Schools')\n",
        "plt.xlabel(xinput)\n",
        "plt.ylabel(yinput)\n",
        "plt.xlim(20, 80)\n",
        "plt.ylim(20, 80)\n",
        "plt.legend()\n",
        "plt.show()\n",
        "\n",
        "# OLS Regression between Rigorous Expectations and School Climate\n",
        "y = df[yinput]\n",
        "X = df[xinput]\n",
        "\n",
        "X = X.replace([np.inf, -np.inf], np.nan).dropna()\n",
        "y = y.loc[X.index]\n",
        "\n",
        "X = sm.add_constant(X)\n",
        "model = sm.OLS(y, X).fit()\n",
        "print(model.summary())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "7MSRLzlTtC3Z",
        "outputId": "63e16eb3-7235-4926-a47e-b3d32933ec63"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                            OLS Regression Results                            \n",
            "==============================================================================\n",
            "Dep. Variable:     Sense of Belonging   R-squared:                       0.667\n",
            "Model:                            OLS   Adj. R-squared:                  0.651\n",
            "Method:                 Least Squares   F-statistic:                     40.12\n",
            "Date:                Fri, 21 Jun 2024   Prob (F-statistic):           3.50e-06\n",
            "Time:                        16:48:53   Log-Likelihood:                -54.683\n",
            "No. Observations:                  22   AIC:                             113.4\n",
            "Df Residuals:                      20   BIC:                             115.5\n",
            "Df Model:                           1                                         \n",
            "Covariance Type:            nonrobust                                         \n",
            "=========================================================================================\n",
            "                            coef    std err          t      P>|t|      [0.025      0.975]\n",
            "-----------------------------------------------------------------------------------------\n",
            "const                   -28.5894      9.702     -2.947      0.008     -48.827      -8.352\n",
            "Rigorous Expectations     1.1823      0.187      6.334      0.000       0.793       1.572\n",
            "==============================================================================\n",
            "Omnibus:                        1.883   Durbin-Watson:                   1.628\n",
            "Prob(Omnibus):                  0.390   Jarque-Bera (JB):                1.524\n",
            "Skew:                           0.495   Prob(JB):                        0.467\n",
            "Kurtosis:                       2.173   Cond. No.                         776.\n",
            "==============================================================================\n",
            "\n",
            "Notes:\n",
            "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Rigorous Expectations and/vs Self-Management"
      ],
      "metadata": {
        "id": "kjU0ZEiGuDzV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "xinput = \"Rigorous Expectations\" # @param {type:\"string\"}\n",
        "yinput = \"Self-Management\" # @param {type:\"string\"}\n",
        "averagex = \"avg_rigor\" # @param {type:\"string\"}\n",
        "averagey = \"avg_selfmanagement\" # @param {type:\"string\"}\n",
        "averagexnod2 = averagex + \"_notd2\"\n",
        "averageynod2 = averagey + \"_notd2\"\n",
        "plt.style.use('default')\n",
        "\n",
        "#Boxplot for Rigorous Expectations\n",
        "plt.boxplot([df[xinput].dropna(), df[yinput].dropna()], labels=[xinput, yinput], vert=True)\n",
        "plt.title('Boxplot for ' + xinput + ' and ' + yinput)\n",
        "plt.scatter(1, colonial_hs[xinput], color='red', zorder=5, label=\"Colonial HS\")\n",
        "plt.scatter(1, lake_nona_hs[xinput], color='blue', zorder=5, label=\"Lake Nona HS\")\n",
        "plt.scatter(2, colonial_hs[yinput], color='red', zorder=5)\n",
        "plt.scatter(2, lake_nona_hs[yinput], color='blue', zorder=5)\n",
        "plt.legend()\n",
        "plt.ylabel('Scores')\n",
        "plt.show()\n",
        "\n",
        "# All High Schools - School Climate vs. Rigor Expectations Score\n",
        "plt.scatter(df[xinput],\n",
        "            df[yinput],\n",
        "            c='black')\n",
        "plt.scatter(colonial_hs[xinput],\n",
        "            colonial_hs[yinput],\n",
        "            c='red',\n",
        "            label='Colonial High')\n",
        "plt.scatter(colonial_hs[xinput],\n",
        "            lake_nona_hs[yinput],\n",
        "            c='blue',\n",
        "            label='Lake Nona High')\n",
        "plt.scatter(hs[averagex],\n",
        "            hs[averagey],\n",
        "            color='grey',\n",
        "            label='Average - All Schools')\n",
        "plt.scatter(hs[averagexnod2],\n",
        "            hs[averageynod2],\n",
        "            color='tan',\n",
        "            label='Average - Without D2')\n",
        "plt.title('Scores for ' + xinput + ' and ' + yinput + ' - All High Schools')\n",
        "plt.xlabel(xinput)\n",
        "plt.ylabel(yinput)\n",
        "plt.xlim(20, 80)\n",
        "plt.ylim(20, 80)\n",
        "plt.legend()\n",
        "plt.show()\n",
        "\n",
        "# All High Schools - School Climate vs. Rigor Expectations Score (Scores above 50)\n",
        "texts = []\n",
        "for x in df.index:\n",
        "    if df.loc[x, xinput] > 50 and df.loc[x, yinput] > 40:\n",
        "        plt.scatter(df.loc[x, xinput], df.loc[x, yinput], color=\"black\")\n",
        "      #  texts.append(plt.text(df.loc[x, xinput], df.loc[x, yinput], df.loc[x, 'Name'],\n",
        "                     #         fontsize=9, ha='right', va='bottom'))\n",
        "plt.scatter(colonial_hs[xinput],\n",
        "            colonial_hs[yinput],\n",
        "            c='red',\n",
        "            label='Colonial High')\n",
        "plt.scatter(lake_nona_hs[xinput],\n",
        "            lake_nona_hs[yinput],\n",
        "            c='blue',\n",
        "            label='Lake Nona High')\n",
        "plt.scatter(hs[averagex],\n",
        "            hs[averagey],\n",
        "            color='grey',\n",
        "            label='Average - All Schools')\n",
        "plt.scatter(hs[averagexnod2],\n",
        "            hs[averageynod2],\n",
        "            color='tan',\n",
        "            label='Average - Without D2')\n",
        "top_points = df[(df[xinput] > 50) & (df[yinput] > 40)]\n",
        "offsets = [(-60, 10), (-10, 40)]  # Different offsets for each point\n",
        "for idx, (offset, row) in enumerate(zip(offsets, top_points.iterrows())):\n",
        "    row = row[1]\n",
        "    plt.scatter(row[xinput], row[yinput], color='black')\n",
        "    plt.annotate(\n",
        "        row['Name'],\n",
        "        (row[xinput], row[yinput]),\n",
        "        textcoords=\"offset points\",\n",
        "        xytext=offset,  # Adjust this to move the label to a desired position\n",
        "        ha='center',\n",
        "        arrowprops=dict(arrowstyle='->', connectionstyle='arc3,rad=0.5', color='black')\n",
        "    )\n",
        "plt.title('Scores for ' + xinput + ' and ' + yinput + ' - Top High Schools')\n",
        "plt.xlabel(xinput)\n",
        "plt.ylabel(yinput)\n",
        "plt.xlim(20, 80)\n",
        "plt.ylim(20, 80)\n",
        "plt.legend()\n",
        "plt.show()\n",
        "\n",
        "# OLS Regression between Rigorous Expectations and School Climate\n",
        "y = df[yinput]\n",
        "X = df[xinput]\n",
        "\n",
        "X = X.replace([np.inf, -np.inf], np.nan).dropna()\n",
        "y = y.loc[X.index]\n",
        "\n",
        "X = sm.add_constant(X)\n",
        "model = sm.OLS(y, X).fit()\n",
        "print(model.summary())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "zcMepp1LuL50",
        "outputId": "01db7ee9-ea0e-432c-8d90-0351bc0bb687"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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g586d6N69e4Hn8BTnkMKLPQlPnjzBgwcP4O7ujrS0NERHRxd7HeVJSkpCZGQkfHx8UKVKFam8QYMG6NChg7SMLxo5cqTKsLu7Ox4+fCh9vvJ68X777bdiH8LJ8+Ly5fWseXh44Nq1a0hOTlapW7duXelwK5D769fR0RHXrl2Tyvbu3YuWLVuq/JI3Nzcv9qHdjz/+GPv374enpydOnjyJWbNmwd3dHQ4ODjh16pRUb9u2bTAxMUGHDh2k9//BgwdwdXWFoaFhgb0Pr6tjx46oUqUKNm/eDCEENm/ejAEDBhRav6zXrVwuh5ZW7tdpdnY2Hj58KB1GfPEwcHH3R8X9HL1o2LBh0v/a2tpo2rQphBDw9fWVyk1NTfPFvm3bNjg7O8PJyUnl/WrXrh0A5Hu/vLy8pJ54IPfzYWxsrNLmm8ZDS8XUvHlzlR3ugAED0LhxY3z22Wd4//33oauri+vXr8Pa2lplRw/81xV+/fp1qUxXVxc///wzmjVrBj09PQQFBRW489bS0lJJRgCgTp06AFDoMcf79+8jLS0Njo6O+cY5OzsjJycHiYmJUrfo68pbroLm5+TkhJMnT6qUVapU6ZUJyMuWLl2KOnXqIDk5GT///DOOHz8OuVxerNjs7e3zrduXr9opi2UoyftfXN9//z2GDBkCpVIJV1dXdO3aFR999FG+baIwL2+3hZk0aRI2b96Mv/76C99++y3q1q1bYD0HBweVYZlMhtq1a0vb4tWrVwFAOpeqIMnJycjKykJKSsprXRZ76dIlTJ8+HX/88Ue+xPzlL6PiKGobcHZ2xoEDB/Kd1F2zZk2VenmHOh89egRjY2P0798fq1evxrBhwzBlyhS0b98e3t7e6NOnj/TFV5iwsDD4+fnh9OnT+c67SU5OhomJSaFx5MXy4jkp169fR4sWLfLVK2h5C9OpUyd06tQJaWlpCA8Px5YtW7B8+XK8//77iI6OhoWFBa5evYrk5OR8583kKemJwXfu3FEZNjExyXc4TEdHB3379sXGjRvRvHlzJCYmFnkVVVmv25ycHCxatAg//fQT4uPjVc7TyjuMCxR/f1Tcz9GLh9ZfjtPExAR6enoqJ0DnlT98+FBlXlFRUYUe+nn5/SrO+njTmMiUkpaWFtq2bYtFixbh6tWrpUoKDhw4AADIyMjA1atXC7xM9m304q+X4nrxC7lXr15o06YNBg4ciJiYmCLPeSgvpVmGPIX1Nry488vTr18/uLu749dff8XBgwcxb948zJ07FyEhIejSpUup5l+Qa9euSTvPCxculLqdvF+J8+bNQ6NGjQqsY2hoiH///bfU8wCAx48fw8PDA8bGxvD394e9vT309PQQERGBL7/8ssS9H6VV0ImkAKSTuxUKBY4fP44jR45gz5492L9/P7Zs2YJ27drh4MGDhU4fFxeH9u3bw8nJCQsWLIBSqYSuri727t2LhQsX5lu+V8VR1vT19eHu7g53d3dUrVoVM2fOxL59+zBkyBDk5OTAwsICGzZsKHDakp4rYWVlpTIcFBSkcpFBnoEDB2L58uWYMWMGGjZsWGgyXh7r9ttvv8XXX3+Njz/+GLNmzUKVKlWgpaWFcePGlWpbLO7n6FVxFif2nJwc1K9fXzpf82VKpbLEbb5pTGRew/PnzwEAqampAHJPhgsNDcWTJ09UfpXndXPb2NhIZefPn4e/vz+GDh2KyMhIDBs2DBcuXFD5JQDkbmTXrl2TemEA4MqVKwBQ6H01zM3Noa+vj5iYmHzjoqOjoaWlJW2cxenCf5W85YqJiZG6I/PExMSoLHdZ0NbWRkBAANq2bYslS5ZgypQpRcZ2+fJlCCFUljU2NjZfvbx4S7sMxX3/835FvXyzqMJ6bKysrDBq1CiMGjUK9+7dQ5MmTTBnzpwyS2RycnLg4+MDY2NjjBs3Dt9++y369OkDb2/vfHXzkp08QgjExsaiQYMGACB1ORsbGxd5nyFzc3MYGxvj4sWLRcZW2PZ59OhRPHz4ECEhIdJJiwAQHx9f7DZe9uI28LLo6GhUrVq1VJfYa2lpoX379mjfvj0WLFiAb7/9FtOmTcORI0cKXUe7d+9GZmYmdu3apfIL+HUOy9jY2OR7/4CCl7ck8n5gJCUlAcjdBkJDQ+Hm5lbsE4mLcujQIZXhwn40tmnTBjVr1sTRo0elk60LUh7rdvv27Wjbti3WrFmjUv748WOVHpHi7o+K+zkqC/b29jh37hzat29fJt8HQNl8r5QEz5EppWfPnuHgwYPQ1dWVDh107doV2dnZWLJkiUrdhQsXQiaTSV88z549g4+PD6ytrbFo0SIEBwfj7t27GD9+fIHzerE9IQSWLFkCHR0dtG/fvsD62tra6NixI3777TeVw093797Fxo0b0aZNGxgbGwOAtGN+nTswNm3aFBYWFli+fLnK5Xr79u1DVFQUunXrVuq2C+Pp6YnmzZsjMDAQGRkZhdbr1KkTbt26hV27dkllGRkZWLVqVZkvQ3Hff2NjY1StWhXHjx9XqffTTz+pDGdnZ+c7RGJhYQFra+t8l0W+jgULFuDUqVNYuXIlZs2ahdatW+PTTz/Nd7UTAPzyyy948uSJNLx9+3YkJSVJy+bq6gp7e3vMnz9fSvBfdP/+fQC5X+69evXC7t278ffff+erl/frrrDtM+9X4Yu/ArOysvKtw7w2inOoycrKCo0aNcLatWtV5nfx4kUcPHgQXbt2fWUbLyuo5ynvF3ZR72FBy5ecnIygoKASx5Cna9euOHPmDP766y+p7P79+4X2nLzs5Uv08+SdO5R3iKpfv37Izs7GrFmz8tV9/vx5ifc1Xl5eKq+Xe2jyyGQyLF68GH5+fvjwww8Lba881q22tna+Holt27blu3VDcfdHxf0clYV+/frh1q1b+WIAcm8X8vTp0xK3WRbfKyXBHpli2rdvn/TL+t69e9i4cSOuXr2KKVOmSElB9+7d0bZtW0ybNg0JCQlo2LAhDh48iN9++w3jxo2TsuzZs2cjMjIShw8fhpGRERo0aIBvvvkG06dPR58+fVR2mHp6eti/fz+GDBmCFi1aYN++fdizZw+++uqrIrtoZ8+eLd2/YtSoUahUqRJWrFiBzMxMfP/991K9Ro0aQVtbG3PnzkVycjLkcrl0f4Xi0tHRwdy5czF06FB4eHhgwIAB0qXLtra2hSZor2vSpEno27cvgoOD8510mWfEiBFYsmQJBgwYgLFjx8LKygobNmyQTujN++VQFstQ3PcfyD0x77vvvsOwYcPQtGlTHD9+XOppy/PkyRPUqFEDffr0QcOGDWFoaIjQ0FCcPXu2wHtBFOTF7fZFrVu3Rq1atRAVFYWvv/4aPj4+6N69O4Dcy5obNWqEUaNGYevWrSrTValSBW3atMHQoUNx9+5dBAYGonbt2tLJilpaWli9ejW6dOkCFxcXDB06FNWrV8etW7dw5MgRGBsbY/fu3QByu+MPHjwIDw8P6bLPpKQkbNu2DSdPnoSpqWmh22fr1q1RuXJlDBkyBGPGjIFMJsO6desK7N52dXXFli1b8MUXX6BZs2YwNDSUlvVl8+bNQ5cuXdCqVSv4+vpKl1+bmJiU6llm/v7+OH78OLp16wYbGxvcu3cPP/30E2rUqIE2bdoUOl3Hjh2hq6uL7t27Y8SIEUhNTcWqVatgYWEh9XyU1OTJk6Vb/o8dO1a6/NrGxqbAS5Rf1rNnT9jZ2aF79+6wt7fH06dPERoait27d6NZs2bSOvXw8MCIESMQEBCAyMhIdOzYETo6Orh69Sq2bduGRYsWoU+fPqVahuLE2LNnzyLrlMe6ff/996Ue9tatW+PChQvYsGFDvnPZirs/Ksnn6HV9+OGH2Lp1K0aOHIkjR47Azc0N2dnZiI6OxtatW3HgwIES31TT1dUVQO7tD/73v/9BR0cH3bt3L7+bhr6Ra6M0WEGXserp6YlGjRqJZcuWqVwaJ4QQT548EePHjxfW1tZCR0dHODg4iHnz5kn1wsPDRaVKlVQuqRYi93K5Zs2aCWtra/Ho0SMhRO5lvgYGBiIuLk507NhR6Ovri2rVqgk/P798l/rhpct2hRAiIiJCdOrUSRgaGgp9fX3Rtm1bcerUqXzLuGrVKlGrVi2hra39ykuxC7r8Os+WLVtE48aNhVwuF1WqVBGDBg0SN2/eVKmTt0zFVdT8srOzhb29vbC3txfPnz8XQhR8Oee1a9dEt27dhEKhEObm5mLChAlix44dAoA4c+ZMmS7Dq97/PGlpacLX11eYmJgIIyMj0a9fP3Hv3j2V9zEzM1NMmjRJNGzYUBgZGQkDAwPRsGFD8dNPPxV7vRX2CgoKkra5GjVqiMePH6tMv2jRIgFAbNmyRQjx36WumzZtElOnThUWFhZCoVCIbt26ievXr+eb/z///CO8vb2FmZmZkMvlwsbGRvTr108cPnxYpd7169fFRx99JF1OX6tWLTF69GiRmZkp1Sls+wwLCxMtW7YUCoVCWFtbi8mTJ4sDBw7k24ZTU1PFwIEDhampqQAgXYpd2GXwoaGhws3NTSgUCmFsbCy6d+8uLl++rFIn75LXly+rzlvveZedHj58WPTs2VNYW1sLXV1dYW1tLQYMGCCuXLlS5PsnhBC7du0SDRo0EHp6esLW1lbMnTtX/Pzzz/kua7WxsRHdunXLN31Bn4Xz588LDw8PoaenJ6pXry5mzZolXVb9qktlN23aJP73v/8Je3t7oVAohJ6enqhbt66YNm2ayiX5eVauXClcXV2FQqEQRkZGon79+mLy5Mni9u3bRcaIUlx+XZSCLr8u63WbkZEhJkyYIKysrIRCoRBubm7i9OnTr70/Ks7nqLBtsbD9VEHrIysrS8ydO1e4uLgIuVwuKleuLFxdXcXMmTNFcnKyVK+w98bGxkblkm4hhJg1a5aoXr260NLSKvdLsWX/HxxVQD4+Pti+fXuBXYv0egIDAzF+/HjcvHkT1atXV3c4Fd7Ro0fRtm1bbNu2rdx+TRO9q7g/ej08R4beei8+CgLIPSa9YsUKODg4cKdBRG8U90dlj+fI0FvP29sbNWvWRKNGjZCcnIz169cjOjq62Cc5EhGVFe6Pyh4TGXrrderUCatXr8aGDRuQnZ2NunXrYvPmzejfv7+6QyOidwz3R2WP58gQERGRxuI5MkRERKSxmMgQERGRxnrrz5HJycnB7du3YWRk9MZvm0xERESlI4TAkydPYG1tXeSz7d76ROb27dv5HnpFREREmiExMRE1atQodPxbn8jkPbwvMTFRepQAERERVWwpKSlQKpUqD+EtyFufyOQdTjI2NmYiQ0REpGFedVoIT/YlIiIijcVEhoiIiDQWExkiIiLSWG/9OTLFIYTA8+fPkZ2dre5QSAPp6OhAW1tb3WEQEb2T3vlEJisrC0lJSUhLS1N3KKShZDIZatSoAUNDQ3WHQkT0znmnE5mcnBzEx8dDW1sb1tbW0NXV5U3zqESEELh//z5u3rwJBwcH9swQEb1h73Qik5WVhZycHCiVSujr66s7HNJQ5ubmSEhIwLNnz5jIEBG9YTzZFyjy1sdEr8JePCIi9eE3OBEREWksJjJERESksZjIvMNmzJiBRo0alWmbwcHBMDU1LdE0tra2CAwMLNM4iIjo3cBERkPduXMHn3/+OWrVqgW5XA6lUonu3bvj8OHDao2rf//+uHLlSpm2WVjClZCQAJlMhsjISKns119/RcuWLWFiYgIjIyO4uLhg3LhxZRoPERFVHO/0VUtlJjsbOHECSEoCrKwAd3egHK9eSUhIgJubG0xNTTFv3jzUr18fz549w4EDBzB69GhER0eX27xfRaFQQKFQqGXehw8fRv/+/TFnzhz06NEDMpkMly9fxqFDh9QSDxEVX1pa2iv3Xenp6UhISICtre0r9zNOTk68GvVdId5yycnJAoBITk7ONy49PV1cvnxZpKenl34GO3YIUaOGEMB/rxo1csvLSZcuXUT16tVFampqvnGPHj2S/r9+/bro0aOHMDAwEEZGRqJv377izp070ng/Pz/RsGFDaTg7O1vMnDlTVK9eXejq6oqGDRuKffv2SePj4+MFALFjxw7h6ekpFAqFaNCggTh16pRUJygoSJiYmEjDsbGxokePHsLCwkIYGBiIpk2bikOHDqnEbGNjIxYuXFjo8r4c58vx/PPPP0IIIcaOHSs8PT0Lbae8lMl2RPSOCw8PFwDK7BUeHq7uRaLXVNT394vYI/M6QkKAPn1y05cX3bqVW759O+DtXaaz/Pfff7F//37MmTMHBgYG+cbnnZ+Sk5ODnj17wtDQEMeOHcPz588xevRo9O/fH0ePHi2w7UWLFuGHH37AihUr0LhxY/z888/o0aMHLl26BAcHB6netGnTMH/+fDg4OGDatGkYMGAAYmNjUalS/s0pNTUVXbt2xZw5cyCXy/HLL7+ge/fuiImJQc2aNctkneSxtLTExo0bcfHiRdSrV69M2yai8uXk5ITw8PAi60RFRWHw4MFYv349nJ2dX9kevSPeUGKlNuXWI/P8ef6emBdfMpkQSmVuvTL0559/CgAiJCSkyHoHDx4U2tra4saNG1LZpUuXBADx119/CSHy93RYW1uLOXPmqLTTrFkzMWrUKCHEfz0gq1evztdmVFSUECJ/j0xBXFxcxI8//igNF6dHRktLSxgYGKi89PX1VXpkUlNTRdeuXQUAYWNjI/r37y/WrFkjMjIyiozndbFHhujNyOu1YW/Lu6G4PTI82be0TpwAbt4sfLwQQGJibr0yJF7u/SlEVFQUlEollEqlVFa3bl2YmpoiKioqX/2UlBTcvn0bbm5uKuVubm756jdo0ED638rKCgBw7969AuNITU3FxIkT4ezsDFNTUxgaGiIqKgo3btwo1nLkcXR0RGRkpMpr7969KnUMDAywZ88exMbGYvr06TA0NMSECRPQvHlzPkuLiOgtxUNLpZWUVLb1isnBwQEymUytJ/Tq6OhI/+fd1TYnJ6fAuhMnTsShQ4cwf/581K5dGwqFAn369EFWVlaJ5qmrq4vatWurlBV0KAsA7O3tYW9vj2HDhmHatGmoU6cOtmzZgqFDh5ZonkREVPGxR6a0/r8noszqFVOVKlXQqVMnLF26FE+fPs03/vHjxwAAZ2dnJCYmIjExURp3+fJlPH78GHXr1s03nbGxMaytrREWFqZSHhYWVmD94goLC4OPjw8++OAD1K9fH5aWlkhISCh1eyVla2sLfX39AtcVERFpPvbIlJa7O1CjRu6JvQUd7pHJcse7u5f5rJcuXQo3Nzc0b94c/v7+aNCgAZ4/f45Dhw5h2bJliIqKgpeXF+rXr49BgwYhMDAQz58/x6hRo+Dh4YGmTZsW2O6kSZPg5+cHe3t7NGrUCEFBQYiMjMSGDRtKHauDgwNCQkLQvXt3yGQyfP3114X23ryuGTNmIC0tDV27doWNjQ0eP36MxYsX49mzZ+jQoUO5zJOIiNRLrT0ytra2kMlk+V6jR48GAHh6euYbN3LkSHWG/B9tbWDRotz/X35oYN5wYGC53E+mVq1aiIiIQNu2bTFhwgTUq1cPHTp0wOHDh7Fs2bL/D0GG3377DZUrV8Z7770HLy8v1KpVC1u2bCm03TFjxuCLL77AhAkTUL9+fezfvx+7du1SuWKppBYsWIDKlSujdevW6N69Ozp16oQmTZqUur2ieHh44Nq1a/joo4/g5OSELl264M6dOzh48CAcHR3LZZ5ERKReMlHcs0fLwf3795GdnS0NX7x4ER06dMCRI0fg6ekJT09P1KlTB/7+/lIdfX19GBsbF3seKSkpMDExQXJycr7pMjIyEB8fDzs7O+jp6ZVuIUJCgLFjVU/8VSpzk5gyvvSaKqYy2Y6I6JUiIiLg6uqK8PDwcvtBRBVHUd/fL1LroSVzc3OV4e+++w729vbw8PCQyvT19WFpafmmQys+b2+gZ883emdfIiIiylVhTvbNysrC+vXr8fHHH0tXwgDAhg0bULVqVdSrVw9Tp0595WW0mZmZSElJUXmVO21twNMTGDAg9y+TGCIiojeiwpzsu3PnTjx+/Bg+Pj5S2cCBA2FjYwNra2ucP38eX375JWJiYhASElJoOwEBAZg5c+YbiJiIiIjUrcIkMmvWrEGXLl1gbW0tlX3yySfS//Xr14eVlRXat2+PuLg42NvbF9jO1KlT8cUXX0jDKSkpKjeFIyIiordHhUhkrl+/jtDQ0CJ7WgCgRYsWAIDY2NhCExm5XA65XF7mMRIREVHFUyHOkQkKCoKFhQW6detWZL3IyEgA/90Wn4iIiN5tau+RycnJQVBQEIYMGaJyy/m4uDhs3LgRXbt2hZmZGc6fP4/x48fjvffeU3nWDxEREb271J7IhIaG4saNG/j4449VynV1dREaGorAwEA8ffoUSqUSvXv3xvTp09UUKREREVU0ak9kOnbsWOATnZVKJY4dO6aGiIiIiEhTVIhzZOjNCg4OhqmpqbrDICIiem1MZMpAdjZw9CiwaVPu3xeeulAufHx80KtXr/KdSQnlPRdr8+bNKuWBgYGwtbVVT1AvSEhIgEwmk04Yf5GnpyfGjRsnDcfHx2PgwIGwtraGnp4eatSogZ49eyI6OvrNBUxERMXCROY1hYQAtrZA27bAwIG5f21tc8vfNXp6epg+fTqePXum7lBKLe9J2cnJyQgJCUFMTAy2bNmC+vXr4/Hjx+oOj4iIXsJE5jWEhAB9+qg+LxIAbt3KLVdXMrNgwQLUr18fBgYGUCqVGDVqFFJTUwutf//+fTRt2hQffPABMjMzkZOTg4CAANjZ2UGhUKBhw4bYvn37K+c7YMAAPH78GKtWrSqy3rJly2Bvbw9dXV04Ojpi3bp1KuNlMhlWr16NDz74APr6+nBwcMCuXbuk8dnZ2fD19ZXic3R0xKK8J5G/pkuXLiEuLg4//fQTWrZsCRsbG7i5uWH27Nlo2bJlmcyDiIjKDhOZUsrOzn3odUHPDs8rGzeu/A8zFURLSwuLFy/GpUuXsHbtWvzxxx+YPHlygXUTExPh7u6OevXqYfv27ZDL5QgICMAvv/yC5cuX49KlSxg/fjwGDx78ypOvjY2NMW3aNPj7++Pp06cF1vn1118xduxYTJgwARcvXsSIESMwdOhQHDlyRKXezJkz0a9fP5w/fx5du3bFoEGD8O+//wLIvWS/Ro0a2LZtGy5fvoxvvvkGX331FbZu3VqKtaXK3NwcWlpa2L59u8qT2YmIqIISb7nk5GQBQCQnJ+cbl56eLi5fvizS09NL3O6RI0LkpixFv44cef1leNmQIUNEz549i11/27ZtwszMTBoOCgoSJiYmIjo6WiiVSjFmzBiRk5MjhBAiIyND6Ovri1OnTqm04evrKwYMGFDoPDw8PMTYsWNFRkaGsLGxEf7+/kIIIRYuXChsbGykeq1btxbDhw9XmbZv376ia9eu0jAAMX36dGk4NTVVABD79u0rdP6jR48WvXv3LnR8fHy8ACAUCoUwMDBQeWlpaYmxY8dKdZcsWSL09fWFkZGRaNu2rfD39xdxcXGFtv062xERFV94eLgAIMLDw9UdCr0BRX1/v4g9MqWUlFS29cpSaGgo2rdvj+rVq8PIyAgffvghHj58qPLk8PT0dLi7u8Pb2xuLFi2SnjgeGxuLtLQ0dOjQAYaGhtLrl19+QVxc3CvnLZfL4e/vj/nz5+PBgwf5xkdFRcHNzU2lzM3NDVFRUSplL9700MDAAMbGxrh3755UtnTpUri6usLc3ByGhoZYuXIlbty48cr4tmzZgsjISJVX06ZNVeqMHj0ad+7cwYYNG9CqVSts27YNLi4uOHTo0CvbJyKiN4uJTCkV9ykJb/ppCgkJCXj//ffRoEED7NixA+Hh4Vi6dCkAICsrS6onl8vh5eWF33//Hbdu3ZLK886l2bNnj8qX/eXLl4t1ngwADB48GDY2Npg9e3apl0NHR0dlWCaTIScnBwCwefNmTJw4Eb6+vjh48CAiIyMxdOhQleUrjFKpRO3atVVeCoUiXz0jIyN0794dc+bMwblz5+Du7v5ay0NEROWDiUwpubsDNWoA/9+RkY9MBiiVufXepPDwcOTk5OCHH35Ay5YtUadOHdy+fTtfPS0tLaxbtw6urq5o27atVKdu3bqQy+W4ceNGvi/84j5FXEtLCwEBAVi2bBkSEhJUxjk7OyMsLEylLCwsDHXr1i32MoaFhaF169YYNWoUGjdujNq1axert6i0ZDIZnJycCj3vh4iI1Eftd/bVVNrawKJFuVcnyWSqJ/3mJTeBgbn1ykNycnK+e6KYmZmhdu3aePbsGX788Ud0794dYWFhWL58eSHLoI0NGzZgwIABaNeuHY4ePQpLS0tMnDgR48ePR05ODtq0aYPk5GSEhYXB2NgYQ4YMKVZ83bp1Q4sWLbBixQpUq1ZNKp80aRL69euHxo0bw8vLC7t370ZISAhCQ0OLvewODg745ZdfcODAAdjZ2WHdunU4e/Ys7Ozsit1GYSIjI+Hn54cPP/wQdevWha6uLo4dO4aff/4ZX3755Wu3T0REZYs9Mq/B2xvYvh2oXl21vEaN3HJv7/Kb99GjR9G4cWOV18yZM9GwYUMsWLAAc+fORb169bBhwwYEBAQU2k6lSpWwadMmuLi4oF27drh37x5mzZqFr7/+GgEBAXB2dkbnzp2xZ8+eEicKc+fORUZGhkpZr169sGjRIsyfPx8uLi5YsWIFgoKC4OnpWex2R4wYAW9vb/Tv3x8tWrTAw4cPMWrUqBLFVpgaNWrA1tYWM2fORIsWLdCkSRMsWrQIM2fOxLRp08pkHkREVHZkQhR0AfHbIyUlBSYmJkhOToaxsbHKuIyMDMTHx8POzg56enqlnkd2NnDiRO6JvVZWuYeTyqsnhiqestqOiKhoERERcHV1RXh4OJo0aaLucKicFfX9/SIeWioD2tpACToUiIiIqIzw0BIRERFpLCYyREREpLGYyBAREZHGYiID4C0/35nKGbcfIiL1eacTmby7x754636iksq7o7A2L1UjInrj3umrlrS1tWFqaio9w0dfX1965hBRceTk5OD+/fvQ19dHpUrv9MeJiEgt3vk9r6WlJQCoPJCQqCS0tLRQs2ZNJsFERGrwzicyMpkMVlZWsLCwwLNnz9QdDmkgXV1daGm900dpiYjU5p1PZPJoa2vzHAciIiINw5+RREREpLGYyBAREZHGYiJDREREGouJDBEREWksnuxLRETl6urVq3jy5MlrtxMVFaXy93UZGRnBwcGhTNoi9WEiQ0RE5ebq1auoU6dOmbY5ePDgMmvrypUrTGY0HBMZIiIqN3k9MevXr4ezs/NrtZWeno6EhATY2tpCoVC8VltRUVEYPHhwmfQUkXoxkSEionLn7OyMJk2avHY7bm5uZRANvU2YyBARUYWXnQ2cOAEkJQFWVoC7O8B7mBLARIaIiCq4kBBg7Fjg5s3/ymrUABYtAry91RcXVQy8/JqIiCqskBCgTx/VJAYAbt3KLQ8JUU9cVHEwkSEiogopOzu3J0aI/OPyysaNy61H7y4mMkREVCGdOJG/J+ZFQgCJibn16N3FRIaIiCqkpKSyrUdvJyYyRERUIVlZlW09ejsxkSEiogrJ3T336iSZrODxMhmgVObWo3cXExkiIqqQtLVzL7EG8iczecOBgbyfzLuOiQwREVVY3t7A9u1A9eqq5TVq5JbzPjLEG+IREVGF5u0N9OzJO/tSwZjIEBFRhaetDXh6qjsKqojUemjJ1tYWMpks32v06NEAgIyMDIwePRpmZmYwNDRE7969cffuXXWGTERERBWIWhOZs2fPIikpSXodOnQIANC3b18AwPjx47F7925s27YNx44dw+3bt+HNA6JERET0/9R6aMnc3Fxl+LvvvoO9vT08PDyQnJyMNWvWYOPGjWjXrh0AICgoCM7Ozjhz5gxatmxZYJuZmZnIzMyUhlNSUspvAYiIiEitKsxVS1lZWVi/fj0+/vhjyGQyhIeH49mzZ/Dy8pLqODk5oWbNmjh9+nSh7QQEBMDExER6KZXKNxE+ERERqUGFSWR27tyJx48fw8fHBwBw584d6OrqwtTUVKVetWrVcOfOnULbmTp1KpKTk6VXYmJiOUZNRERE6lRhrlpas2YNunTpAmtr69dqRy6XQy6Xl1FUREREVJFViETm+vXrCA0NRUhIiFRmaWmJrKwsPH78WKVX5u7du7C0tFRDlERERFTRVIhDS0FBQbCwsEC3bt2kMldXV+jo6ODw4cNSWUxMDG7cuIFWrVqpI0wiIiKqYNTeI5OTk4OgoCAMGTIElSr9F46JiQl8fX3xxRdfoEqVKjA2Nsbnn3+OVq1aFXrFEhEREb1b1J7IhIaG4saNG/j444/zjVu4cCG0tLTQu3dvZGZmolOnTvjpp5/UECURERFVRGpPZDp27AghRIHj9PT0sHTpUixduvQNR0VERESaoEKcI0NERERUGkxkiIiISGMxkSEiIiKNxUSGiIiINBYTGSIiItJYTGSIiIhIYzGRISIiIo2l9vvIEBHR20v2PAONLbWgeHwFuF1xfjsrHl9BY0styJ5nqDsUek1MZIiIqNzopd5AxAhD4PgI4Li6o/mPM4CIEYaISr0BoLW6w6HXwESGiIjKTYZhTTRZkYoNGzbA2clJ3eFIoqKjMWjQIKzpWlPdodBrYiJDRETlRlTSwz93cpBuWgewbqTucCTpd3Lwz50ciEp66g6FXlPFOWBJREREVEJMZIiIiEhjMZEhIiIijcVEhoiIiDQWExkiIiLSWExkiIiISGMxkSEiIiKNxUSGiIiINBYTGSIiItJYTGSIiIhIYzGRISIiIo3FRIaIiIg0FhMZIiIi0lhMZIiIiEhjMZEhIiIijcVEhoiIiDQWExkiIiLSWExkiIiISGNVUncAREREr5SdDZw4ASQlAVZWgLs7oK2t7qioAmAiQ0REFVtICDB2LHDz5n9lNWoAixYB3t7qi4sqBB5aIiKiiiskBOjTRzWJAYBbt3LLQ0LUExdVGExkiIioYsrOzu2JESL/uLyyceNy69E7i4eWiIio3KSlpQEAIiIiSjyt4d9/o87LPTEvEgJITMSVNWuQ2rRpidqOiooqcTxUMTGRISKichMdHQ0AGD58eImn/R+ATcWo5zdiBDaXuPVcRkZGpZySKgomMkREVG569eoFAHBycoK+vn6JpjX8+29gxIhX1pu5YgUmlbBHBshNYhwcHEo8HVUsMiEKOvj49khJSYGJiQmSk5NhbGys7nCIiKi4srMBW9vcE3sL+qqSyXKvXoqP56XYb6Hifn/zZF8iIqqYtLVzL7EGcpOWF+UNBwYyiXnHMZEhIqKKy9sb2L4dqF5dtbxGjdxy3kfmncdEhoiIKjZvbyAhAVdWrMAAAFdWrMg9nMQkhsBEhoiINIG2NlKbNsVmIPdSax5Oov+n9kTm1q1bGDx4MMzMzKBQKFC/fn38/fff0ngfHx/IZDKVV+fOndUYMREREVUUar38+tGjR3Bzc0Pbtm2xb98+mJub4+rVq6hcubJKvc6dOyMoKEgalsvlbzpUIiIiqoDUmsjMnTsXSqVSJUmxs7PLV08ul8PS0vJNhkZEREQaQK2Hlnbt2oWmTZuib9++sLCwQOPGjbFq1ap89Y4ePQoLCws4Ojri008/xcOHDwttMzMzEykpKSovIiIiejupNZG5du0ali1bBgcHBxw4cACffvopxowZg7Vr10p1OnfujF9++QWHDx/G3LlzcezYMXTp0gXZhTwkLCAgACYmJtJLqVS+qcUhIiKiN0ytd/bV1dVF06ZNcerUKalszJgxOHv2LE6fPl3gNNeuXYO9vT1CQ0PRvn37fOMzMzORmZkpDaekpECpVPLOvkREGi4iIgKurq4IDw9HkyZN1B0OlTONuLOvlZUV6tatq1Lm7OyMGzduFDpNrVq1ULVqVcTGxhY4Xi6Xw9jYWOVFREREbye1JjJubm6IiYlRKbty5QpsbGwKnebmzZt4+PAhrKysyjs8IiIiquDUmsiMHz8eZ86cwbfffovY2Fhs3LgRK1euxOjRowEAqampmDRpEs6cOYOEhAQcPnwYPXv2RO3atdGpUyd1hk5EREQVgFoTmWbNmuHXX3/Fpk2bUK9ePcyaNQuBgYEYNGgQAEBbWxvnz59Hjx49UKdOHfj6+sLV1RUnTpzgvWSIiIhIvfeRAYD3338f77//foHjFAoFDhw48IYjIiIiIk2h9kcUEBEREZUWExkiIiLSWGo/tERERJSWlobo6Ogi60RFRan8LYqTkxP09fXLJDaq2JjIEBGR2kVHR8PV1bVYdQcPHvzKOrxp3ruDiQwREamdk5MTwsPDi6yTnp6OhIQE2NraQqFQvLI9ejeo9REFb0Jxb3FMREREFYdGPKKAiIiI6HUwkSEiIiKNxUSGiIiINBYTGSIiItJYTGSIiIhIYzGRISIiIo3FRIaIiIg0FhMZIiIi0lhMZIiIiEhjMZEhIiIijcVEhoiIiDQWExkiIiLSWExkiIiISGMxkSEiIiKNxUSGiIiINBYTGSIiItJYTGSIiIhIYzGRISIiIo3FRIaIiIg0VpkkMikpKdi5cyeioqLKojkiIiKiYilVItOvXz8sWbIEAJCeno6mTZuiX79+aNCgAXbs2FGmARIREREVplSJzPHjx+Hu7g4A+PXXXyGEwOPHj7F48WLMnj27TAMkIiIiKkypEpnk5GRUqVIFALB//3707t0b+vr66NatG65evVqmARIREREVplSJjFKpxOnTp/H06VPs378fHTt2BAA8evQIenp6ZRogERERUWEqlWaicePGYdCgQTA0NETNmjXh6ekJIPeQU/369csyPiIiIqJClSqRGTVqFJo3b47ExER06NABWlq5HTu1atXiOTJERET0xsiEEKK0E2dlZSE+Ph729vaoVKlUOVG5S0lJgYmJCZKTk2FsbKzucIiIiKgYivv9XapzZNLS0uDr6wt9fX24uLjgxo0bAIDPP/8c3333XekiJiIiIiqhUiUyU6dOxblz53D06FGVk3u9vLywZcuWMguOiIiIqCilOh60c+dObNmyBS1btoRMJpPKXVxcEBcXV2bBERERERWlVD0y9+/fh4WFRb7yp0+fqiQ2REREROWpVIlM06ZNsWfPHmk4L3lZvXo1WrVqVTaREREREb1CqQ4tffvtt+jSpQsuX76M58+fY9GiRbh8+TJOnTqFY8eOlXWMRERERAUqVY9MmzZtcO7cOTx//hz169fHwYMHYWFhgdOnT8PV1bWsYyQiIiIqUIl7ZJ49e4YRI0bg66+/xqpVq8ojJiIiIqJiKXGPjI6ODnbs2FEesRARERGVSKkOLfXq1Qs7d+4skwBu3bqFwYMHw8zMDAqFAvXr18fff/8tjRdC4JtvvoGVlRUUCgW8vLz4hG0iIiICUMqTfR0cHODv74+wsDC4urrCwMBAZfyYMWOK1c6jR4/g5uaGtm3bYt++fTA3N8fVq1dRuXJlqc7333+PxYsXY+3atbCzs8PXX3+NTp064fLly3zSNhER0TuuVM9asrOzK7xBmQzXrl0rVjtTpkxBWFgYTpw4UeB4IQSsra0xYcIETJw4EQCQnJyMatWqITg4GP/73//yTZOZmYnMzExpOCUlBUqlks9aIiIi0iDl+qyl+Pj4Ql/FTWIAYNeuXWjatCn69u0LCwsLNG7cWOUE4vj4eNy5cwdeXl5SmYmJCVq0aIHTp08X2GZAQABMTEykl1KpLM0iEhERkQYoVSLzIiEESvsA7WvXrmHZsmVwcHDAgQMH8Omnn2LMmDFYu3YtAODOnTsAgGrVqqlMV61aNWncy6ZOnYrk5GTplZiYWKrYiIiIqOIrdSLzyy+/oH79+lAoFFAoFGjQoAHWrVtXojZycnLQpEkTfPvtt2jcuDE++eQTDB8+HMuXLy9tWJDL5TA2NlZ5ERER0dupVInMggUL8Omnn6Jr167YunUrtm7dis6dO2PkyJFYuHBhsduxsrJC3bp1VcqcnZ1x48YNAIClpSUA4O7duyp17t69K40jIiKid1eprlr68ccfsWzZMnz00UdSWY8ePeDi4oIZM2Zg/PjxxWrHzc0NMTExKmVXrlyBjY0NgNyTii0tLXH48GE0atQIQO7JP3/++Sc+/fTT0oROREREb5FSJTJJSUlo3bp1vvLWrVsjKSmp2O2MHz8erVu3xrfffot+/frhr7/+wsqVK7Fy5UoAuVdAjRs3DrNnz4aDg4N0+bW1tTV69epVmtCJiIjoLVKqQ0u1a9fG1q1b85Vv2bIFDg4OxW6nWbNm+PXXX7Fp0ybUq1cPs2bNQmBgIAYNGiTVmTx5Mj7//HN88sknaNasGVJTU7F//37eQ4aIiIhKdx+ZHTt2oH///vDy8oKbmxsAICwsDIcPH8bWrVvxwQcflHmgpVXc69CJiIio4ijX+8j07t0bf/75J6pWrYqdO3di586dqFq1Kv76668KlcQQERHR261UPTKahD0yREREmqdce2T27t2LAwcO5Cs/cOAA9u3bV5omiYiIiEqsVInMlClTkJ2dna9cCIEpU6a8dlBERERExVGqRObq1av5bmQHAE5OToiNjX3toIiIiIiKo1SJjImJSYEPh4yNjYWBgcFrB0VERERUHKVKZHr27Ilx48YhLi5OKouNjcWECRPQo0ePMguOiIiIqCilSmS+//57GBgYwMnJCXZ2drCzs4OTkxPMzMwwf/78so6RiIiIqEClekSBiYkJTp06hUOHDuHcuXNQKBRo2LAh3N3dyzo+IiIiokKVqEfm9OnT+P333wHkPgepY8eOsLCwwPz589G7d2988sknyMzMLJdAiYiIiF5WokTG398fly5dkoYvXLiA4cOHo0OHDpgyZQp2796NgICAMg+SiIiIqCAlSmQiIyPRvn17aXjz5s1o3rw5Vq1ahS+++AKLFy8u8GGSREREROWhRInMo0ePUK1aNWn42LFj6NKlizTcrFkzJCYmll10REREREUoUSJTrVo1xMfHAwCysrIQERGBli1bSuOfPHkCHR2dso2QiIiIqBAlSmS6du2KKVOm4MSJE5g6dSr09fVVrlQ6f/487O3tyzxIIiIiooKU6PLrWbNmwdvbGx4eHjA0NMTatWuhq6srjf/555/RsWPHMg+SiIiIqCAyIYQo6UTJyckwNDSEtra2Svm///4LQ0NDleRG3Yr7GHAiIiKqOIr7/V3qG+IVpEqVKqVpjoiIiKhUSvWIAiIiIqKKgIkMERERaSwmMkRERKSxmMgQERGRxmIiQ0RERBqrVFctEalDWloaoqOji6yTnp6OhIQE2NraQqFQFFnXyckJ+vr6ZRkiERG9YUxkSGNER0fD1dW1zNoLDw9HkyZNyqw9IiJ685jIkMZwcnJCeHh4kXWioqIwePBgrF+/Hs7Ozq9sj4iINBsTGdIY+vr6xe5BcXZ2Zm8LEdE7gCf7EhERkcZiIkNEREQai4kMERERaSwmMkRERKSxmMgQERGRxmIiQ0RERBqLiQwRERFpLCYyREREpLGYyBAREZHGYiJDREREGouJDBEREWksJjJERESksZjIEBERkcZiIkNEREQaS62JzIwZMyCTyVReTk5O0nhPT89840eOHKnGiImIiKgiqaTuAFxcXBAaGioNV6qkGtLw4cPh7+8vDevr67+x2IiIiKhiU3siU6lSJVhaWhY6Xl9fv8jxRERE9O5S+zkyV69ehbW1NWrVqoVBgwbhxo0bKuM3bNiAqlWrol69epg6dSrS0tKKbC8zMxMpKSkqLyIiIno7qbVHpkWLFggODoajoyOSkpIwc+ZMuLu74+LFizAyMsLAgQNhY2MDa2trnD9/Hl9++SViYmIQEhJSaJsBAQGYOXPmG1wKIiIiUheZEEKoO4g8jx8/ho2NDRYsWABfX9984//44w+0b98esbGxsLe3L7CNzMxMZGZmSsMpKSlQKpVITk6GsbFxucVOFUNERARcXV0RHh6OJk2aqDscIiIqpZSUFJiYmLzy+1vt58i8yNTUFHXq1EFsbGyB41u0aAEARSYycrkccrm83GIkIiKiikPt58i8KDU1FXFxcbCysipwfGRkJAAUOp6IiIjeLWrtkZk4cSK6d+8OGxsb3L59G35+ftDW1saAAQMQFxeHjRs3omvXrjAzM8P58+cxfvx4vPfee2jQoIE6wyYiIqIKQq2JzM2bNzFgwAA8fPgQ5ubmaNOmDc6cOQNzc3NkZGQgNDQUgYGBePr0KZRKJXr37o3p06erM2QiIiKqQNSayGzevLnQcUqlEseOHXuD0RAREZGmqVDnyBARERGVBBMZIiIi0lgV6vJrenddvXoVT548ee12oqKiVP6+LiMjIzg4OJRJW0REVPaYyJDaXb16FXXq1CnTNgcPHlxmbV25coXJDBFRBcVEhtQurydm/fr1cHZ2fq220tPTkZCQAFtbWygUitdqKyoqCoMHDy6TniIiIiofTGSownB2di6Txwq4ubmVQTRERKQJeLIvERERaSwmMkRERKSxmMgQERGRxmIiQ0RERBqLiQwRERFpLCYyREREpLGYyBAREZHG4n1kSO1kzzPQ2FILisdXgNsVJ7dWPL6CxpZakD3PUHcoRERUCCYypHZ6qTcQMcIQOD4COK7uaP7jDCBihCGiUm8AaK3ucIiIqABMZEjtMgxrosmKVGzYsAHOTk7qDkcSFR2NQYMGYU3XmuoOhYiICsFEhtROVNLDP3dykG5aB7BupO5wJOl3cvDPnRyISnrqDoWIiApRcU5IICIiIiohJjJERESksZjIEBERkcZiIkNEREQai4kMERERaSwmMkRERKSxmMgQERGRxmIiQ0RERBqLiQwRERFpLCYyREREpLGYyBAREZHGYiJDREREGouJDBEREWksPv2a3hrZWdk48dMFJMWlwcpeH+6j6kNbV1vdYRERUTliIkNvhZDJZzB2QU3czG4kldWYeBuLvrgB7+9bqi8wIiIqVzy0RBovZPIZ9JnXHDezLVXKb2Vbos+85giZfEZNkRERUXljIkMaLTsrG2MX1IQA8PLmLP5/eNwCJbKzst94bEREVP6YyJBGO/HTBdzMtkZhm7KAFhKzq+PETxfebGBERPRGMJEhjZYUl1am9YiISLMwkSGNZmWvX6b1iIhIszCRIY3mPqo+amjfhgw5BY6XIQdK7VtwH1X/DUdGRERvAhMZ0mjautpY9MUNAMiXzOQNB36RyPvJEBG9pZjIkMbz/r4ltk/6C9W176iU19BOwvZJf/E+MkREbzHeEI/eCt7ft0TP2dk48VPkS3f2ra7u0IiIqBwxkaG3hrauNjzHNVJ3GERE9Aap9dDSjBkzIJPJVF5OTk7S+IyMDIwePRpmZmYwNDRE7969cffuXTVGTERERBWJ2s+RcXFxQVJSkvQ6efKkNG78+PHYvXs3tm3bhmPHjuH27dvw9vZWY7RERERUkaj90FKlSpVgaWmZrzw5ORlr1qzBxo0b0a5dOwBAUFAQnJ2dcebMGbRsWfAJnJmZmcjMzJSGU1JSyidwIiIiUju198hcvXoV1tbWqFWrFgYNGoQbN3IvpQ0PD8ezZ8/g5eUl1XVyckLNmjVx+vTpQtsLCAiAiYmJ9FIqleW+DERERKQeak1kWrRogeDgYOzfvx/Lli1DfHw83N3d8eTJE9y5cwe6urowNTVVmaZatWq4c+dOwQ0CmDp1KpKTk6VXYmJiOS8FERERqYtaDy116dJF+r9BgwZo0aIFbGxssHXrVigUilK1KZfLIZfLyypEIiIiqsDUfmjpRaampqhTpw5iY2NhaWmJrKwsPH78WKXO3bt3CzynhoiIiN49FSqRSU1NRVxcHKysrODq6godHR0cPnxYGh8TE4MbN26gVatWaoySiIiIKgq1HlqaOHEiunfvDhsbG9y+fRt+fn7Q1tbGgAEDYGJiAl9fX3zxxReoUqUKjI2N8fnnn6NVq1aFXrFEmiktLQ0AEBER8dptpaenIyEhAba2tqU+PJknKirqteMhIqLypdZE5ubNmxgwYAAePnwIc3NztGnTBmfOnIG5uTkAYOHChdDS0kLv3r2RmZmJTp064aefflJnyFQOoqOjAQDDhw9XcyQFMzIyUncIRERUCJkQQqg7iPKUkpICExMTJCcnw9jYWN3hUAEePHiAnTt3wsnJCfr6+q/VVlRUFAYPHoz169fD2dn5tWMzMjKCg4PDa7dDREQlU9zvb7XfEI+oatWqGDZsWJm26ezsjCZNmpRpm0REVPFUqJN9iYiIiEqCiQwRERFpLCYyREREpLGYyBAREZHGYiJDREREGouJDBEREWksJjJERESksZjIEBERkcZiIkNEREQai4kMERERaSwmMkRERKSxmMgQERGRxmIiQ0RERBqLiQwRERFpLCYyREREpLGYyBAREZHGYiJDREREGouJDBEREWksJjJERESksZjIEBERkcZiIkNEREQai4kMERERaSwmMkRERKSxmMgQERGRxmIiQ0RERBqLiQwRERFpLCYyREREpLGYyBAREZHGYiJDREREGouJDBEREWksJjJERESksZjIEBERkcZiIkNEREQai4kMERERaSwmMkRERKSxmMgQERGRxmIiQ0RERBqLiQwRERFpLCYyREREpLGYyBAREZHGqjCJzHfffQeZTIZx48ZJZZ6enpDJZCqvkSNHqi9IIiIiqlAqqTsAADh79ixWrFiBBg0a5Bs3fPhw+Pv7S8P6+vpvMjQiIiKqwNTeI5OamopBgwZh1apVqFy5cr7x+vr6sLS0lF7GxsZqiJKIiIgqIrUnMqNHj0a3bt3g5eVV4PgNGzagatWqqFevHqZOnYq0tLQi28vMzERKSorKi4iIiN5Oaj20tHnzZkRERODs2bMFjh84cCBsbGxgbW2N8+fP48svv0RMTAxCQkIKbTMgIAAzZ84sr5CJiIioAlFbIpOYmIixY8fi0KFD0NPTK7DOJ598Iv1fv359WFlZoX379oiLi4O9vX2B00ydOhVffPGFNJySkgKlUlm2wRMREVGFoLZEJjw8HPfu3UOTJk2ksuzsbBw/fhxLlixBZmYmtLW1VaZp0aIFACA2NrbQREYul0Mul5df4ERERFRhqC2Rad++PS5cuKBSNnToUDg5OeHLL7/Ml8QAQGRkJADAysrqTYRIREREFZzaEhkjIyPUq1dPpczAwABmZmaoV68e4uLisHHjRnTt2hVmZmY4f/48xo8fj/fee6/Ay7SJiIjo3VMh7iNTEF1dXYSGhiIwMBBPnz6FUqlE7969MX36dHWHRkRERBVEhUpkjh49Kv2vVCpx7Ngx9QVDREREFZ7a7yNDREREVFpMZIiIiEhjVahDS0RFSUtLQ3R0dJF1oqKiVP4WxcnJic/uIiLScExkSGNER0fD1dW1WHUHDx78yjrh4eEq9zEiIiLNw0SGNIaTkxPCw8OLrJOeno6EhATY2tpCoVC8sj0iItJsMiGEUHcQ5SklJQUmJiZITk7mk7OJiIg0RHG/v3myLxEREWksJjJERESksZjIEBERkcZiIkNEREQai4kMERERaSwmMkRERKSxmMgQERGRxmIiQ0RERBqLiQwRERFpLCYyREREpLGYyBAREZHGYiJDREREGouJDBEREWmsSuoOoLzlPdw7JSVFzZEQERFRceV9b+d9jxfmrU9knjx5AgBQKpVqjoSIiIhK6smTJzAxMSl0vEy8KtXRcDk5Obh9+zaMjIwgk8nUHQ6Vs5SUFCiVSiQmJsLY2Fjd4RBRGeLn+90ihMCTJ09gbW0NLa3Cz4R563tktLS0UKNGDXWHQW+YsbExd3REbyl+vt8dRfXE5OHJvkRERKSxmMgQERGRxmIiQ28VuVwOPz8/yOVydYdCRGWMn28qyFt/si8RERG9vdgjQ0RERBqLiQwRERFpLCYyREREpLGYyBAREZHGYiLzFkhISIBMJkNkZKS6Q6EyJJPJsHPnTnWHQe+AGTNmoFGjRvnKqlWrxu2QKjwmMhWcj48PZDIZZDIZdHR0YGdnh8mTJyMjI0Oqo1QqkZSUhHr16qkx0vIzY8YMaR28+HJyclJ3aCp8fHzQq1evEk9X0JcIACQlJaFLly6vHxi99e7fv49PP/0UNWvWhFwuh6WlJTp16oSwsLBStRcVFYWZM2dixYoVhW6HwcHBkMlkcHZ2zjdu27ZtkMlksLW1LdX832XBwcEwNTVVdxga5a1/RMHboHPnzggKCsKzZ88QHh6OIUOGQCaTYe7cuQAAbW1tWFpalnscWVlZ0NXVLff5FMTFxQWhoaEqZZUqvd2b75t4T+nt0Lt3b2RlZWHt2rWoVasW7t69i8OHD+Phw4elai8uLg4A0LNnzyKfUWdgYIB79+7h9OnTaNWqlVS+Zs0a1KxZs1TzJioxQRXakCFDRM+ePVXKvL29RePGjaXh+Ph4AUD8888/Utlvv/0mateuLeRyufD09BTBwcECgHj06JFUZ/v27aJu3bpCV1dX2NjYiPnz56vMx8bGRvj7+4sPP/xQGBkZiSFDhhRrOgDi119/VSkzMTERQUFBQgghMjMzxejRo4WlpaWQy+WiZs2a4ttvvy10Hfj5+YmGDRsWOj4qKkooFAqxYcMGqWzLli1CT09PXLp0SQjx33qcMWOGqFq1qjAyMhIjRowQmZmZ0jTZ2dni22+/Fba2tkJPT080aNBAbNu2TWVeFy9eFN26dRNGRkbC0NBQtGnTRsTGxgo/Pz8BQOV15MgRIYQQkydPFg4ODkKhUAg7Ozsxffp0kZWVJYQQIigoKN90eevp5fV4/vx50bZtW6GnpyeqVKkihg8fLp48eSKNz1vGefPmCUtLS1GlShUxatQoaV5CCLF06VJpu7CwsBC9e/cudL2SZnj06JEAII4ePVpkHV9fX2nbb9u2rYiMjJTGv/gZK2hbLkhQUJAwMTERn332mRg2bJhUnpiYKORyuZgyZYqwsbGRymNjY0WPHj2EhYWFMDAwEE2bNhWHDh1SadPGxkbMmTNHDB06VBgaGgqlUilWrFihUqeoz1OeWbNmCXNzc2FoaCh8fX3Fl19+mW8fsmrVKuHk5CTkcrlwdHQUS5culcbl7VO3bNki2rRpI/T09ETTpk1FTEyM+Ouvv4Srq6swMDAQnTt3Fvfu3Stxuzt27BCenp5CoVCIBg0aiFOnTgkhhDhy5Ei+de/n51fg+qf/MJGp4F5OZC5cuCAsLS1FixYtpLKXE5lr164JHR0dMXHiRBEdHS02bdokqlevrpLI/P3330JLS0v4+/uLmJgYERQUJBQKhfQlKkTuTsXY2FjMnz9fxMbGitjY2GJN96pEZt68eUKpVIrjx4+LhIQEceLECbFx48ZC18GrEhkhcr+gTUxMxPXr10ViYqKoXLmyWLRokcp6NDQ0FP379xcXL14Uv//+uzA3NxdfffWVVGf27NnCyclJ7N+/X8TFxYmgoCAhl8ulL4ibN2+KKlWqCG9vb3H27FkRExMjfv75ZxEdHS2ePHki+vXrJzp37iySkpJEUlKSlCTNmjVLhIWFifj4eLFr1y5RrVo1MXfuXCGEEGlpaWLChAnCxcVFmi4tLS3fekxNTRVWVlbC29tbXLhwQRw+fFjY2dlJyWXeMhobG4uRI0eKqKgosXv3bqGvry9WrlwphBDi7NmzQltbW2zcuFEkJCSIiIgIlXVEmunZs2fC0NBQjBs3TmRkZBRYx8vLS3Tv3l2cPXtWXLlyRUyYMEGYmZmJhw8fCiFUP2NPnjyREuy8bbIgeYlMRESEMDY2Fk+fPhVC5G7vPXv2FAsXLlRJZCIjI8Xy5cvFhQsXxJUrV8T06dOFnp6euH79ulTHxsZGVKlSRSxdulRcvXpVBAQECC0tLREdHS3VKerzJIQQ69evF3p6euLnn38WMTExYubMmcLY2FhlH7J+/XphZWUlduzYIa5duyZ27NghqlSpIoKDg4UQ/+1T8/YHly9fFi1bthSurq7C09NTnDx5UkRERIjatWuLkSNHlqrd33//XcTExIg+ffoIGxsb8ezZM5GZmSkCAwOFsbGxtO5f/LFCBWMiU8ENGTJEaGtrCwMDAyGXywUAoaWlJbZv3y7VeTmR+fLLL0W9evVU2pk2bZpKIjNw4EDRoUMHlTqTJk0SdevWlYZtbGxEr169VOoUZ7pXJTKff/65aNeuncjJySnWOvDz8xNaWlrCwMBA5TVixAiVet26dRPu7u6iffv2omPHjirtDxkyRFSpUkXa2QohxLJly4ShoaHIzs4WGRkZQl9fX/pllMfX11cMGDBACCHE1KlThZ2dXb5ffy/O4+Xes4LMmzdPuLq6qixfQYnai+tx5cqVonLlyiI1NVUav2fPHqGlpSXu3Lkjzd/GxkY8f/5cqtO3b1/Rv39/IYQQO3bsEMbGxiIlJeWVMZJm2b59u6hcubLQ09MTrVu3FlOnThXnzp0TQghx4sQJYWxsnC/Jsbe3l3o7Xt4Gf/3110J7YvLkJTJCCNGoUSOxdu1akZOTI+zt7cVvv/2WL5EpiIuLi/jxxx+lYRsbGzF48GBpOCcnR1hYWIhly5YV2sbLn6cWLVqI0aNHq9Rxc3NTWT57e/t8P55mzZolWrVqJYT4b5+6evVqafymTZsEAHH48GGpLCAgQDg6Or5Wu5cuXRIARFRUlBBCdb1S8bzdJxm8Jdq2bYtly5bh6dOnWLhwISpVqoTevXsXWj8mJgbNmjVTKWvevLnKcFRUFHr27KlS5ubmhsDAQGRnZ0NbWxsA0LRp01JNVxQfHx906NABjo6O6Ny5M95//3107NixyGkcHR2xa9culTJjY2OV4Z9//hl16tSBlpYWLl26lO/YfsOGDaGvry8Nt2rVCqmpqUhMTERqairS0tLQoUMHlWmysrLQuHFjAEBkZCTc3d2ho6PzymV80ZYtW7B48WLExcUhNTUVz58/zxf7q0RFRaFhw4YwMDCQytzc3JCTk4OYmBhUq1YNQO65RC++B1ZWVrhw4QIAoEOHDrCxsUGtWrXQuXNndO7cGR988IHKOiHN1Lt3b3Tr1g0nTpzAmTNnsG/fPnz//fdYvXo1nj59itTUVJiZmalMk56eLp0L8yqGhobS/4MHD8by5ctVxn/88ccICgpCzZo18fTpU3Tt2hVLlixRqZOamooZM2Zgz549SEpKwvPnz5Geno4bN26o1GvQoIH0v0wmg6WlJe7duyeVverzFBMTg1GjRqm02bx5c/zxxx8AgKdPnyIuLg6+vr4YPny4VOf58+cwMTEpNJa8z1j9+vVVyvJiK227VlZWAIB79+5VuAsYNAUTGQ1gYGCA2rVrA8j9sm7YsCHWrFkDX1/fNzLvkpLJZBAvPcLr2bNn0v9NmjRBfHw89u3bh9DQUPTr1w9eXl7Yvn17oW3q6upK66Aw586dw9OnT6GlpYWkpCRpB1EcqampAIA9e/agevXqKuPyHlCnUCiK3V6e06dPY9CgQZg5cyY6deoEExMTbN68GT/88EOJ2yqOl5MsmUyGnJwcAICRkREiIiJw9OhRHDx4EN988w1mzJiBs2fP8iqJt4Cenh46dOiADh064Ouvv8awYcPg5+eHUaNGwcrKCkePHs03TXHf9xdv7VBQEj5o0CBMnjwZM2bMwIcffljgifgTJ07EoUOHMH/+fNSuXRsKhQJ9+vRBVlaWSr2ituGy+DzlfdZXrVqFFi1aqIx7+YfYi7Hk/TB6uSwvttdtN68dKjkmMhpGS0sLX331Fb744gsMHDiwwC9XR0dH7N27V6Xs7NmzKsPOzs75Ls0MCwtDnTp1iuxVKc505ubmSEpKksZfvXoVaWlpKtMYGxujf//+6N+/P/r06YPOnTvj33//RZUqVYpY+sL9+++/8PHxwbRp05CUlIRBgwYhIiJCZf2cO3cO6enpUtmZM2dgaGgIpVKJKlWqQC6X48aNG/Dw8ChwHg0aNMDatWvx7NmzAntldHV1kZ2drVJ26tQp2NjYYNq0aVLZ9evXXzndy5ydnREcHIynT59KyWVYWBi0tLTg6OhY5LQvqlSpEry8vODl5QU/Pz+Ymprijz/+gLe3d7HbIM1Qt25d7Ny5E02aNMGdO3dQqVKlUl8O/aofEVWqVEGPHj2wdevWfL01ecLCwuDj44MPPvgAQO4Xf0JCQoniKM7nydHREWfPnsVHH30klb24/6tWrRqsra1x7do1DBo0qETzL0pZtVuc/QGp4n1kNFDfvn2hra2NpUuXFjh+xIgRiI6OxpdffokrV65g69atCA4OBvBf9j9hwgQcPnwYs2bNwpUrV7B27VosWbIEEydOLHLexZmuXbt2WLJkCf755x/8/fffGDlypMoX/4IFC7Bp0yZER0fjypUr2LZtGywtLYv8dfj8+XPcuXNH5XX37l1p/MiRI6FUKjF9+nQsWLAA2dnZ+ZYlKysLvr6+uHz5Mvbu3Qs/Pz989tln0NLSgpGRESZOnIjx48dj7dq1iIuLQ0REBH788UesXbsWAPDZZ58hJSUF//vf//D333/j6tWrWLduHWJiYgAAtra2OH/+PGJiYvDgwQM8e/YMDg4OuHHjBjZv3oy4uDgsXrwYv/76q0pctra2iI+PR2RkJB48eIDMzMx8yz9o0CDo6elhyJAhuHjxIo4cOYLPP/8cH374odTl/Sq///47Fi9ejMjISFy/fh2//PILcnJySpQIUcXz8OFDtGvXDuvXr8f58+cRHx+Pbdu24fvvv0fPnj3h5eWFVq1aoVevXjh48CASEhJw6tQpTJs2DX///XeZxREcHIwHDx4UenjEwcEBISEhiIyMxLlz5zBw4MAS90IU5/P0+eefY82aNVi7di2uXr2K2bNn4/z58yqHmmfOnImAgAAsXrwYV65cwYULFxAUFIQFCxaUfMFfUBbt2traIjU1FYcPH8aDBw/y/QikAqj7JB0qWmEnkAYEBAhzc3ORmpparMuvly1bJgCI9PR0qU7eZdQ6OjqiZs2aYt68eSrzsLGxEQsXLsw371dNd+vWLdGxY0dhYGAgHBwcxN69e1VO9l25cqVo1KiRMDAwEMbGxqJ9+/YiIiKi0HVQ0OWgAIRcLhdCCLF27VphYGAgrly5Ik3z559/Ch0dHbF3716V9fjNN98IMzMzYWhoKIYPH65yAmROTo4IDAwUjo6OQkdHR5ibm4tOnTqJY8eOSXXOnTsnOnbsKPT19YWRkZFwd3cXcXFxQggh7t27Jzp06CAMDQ1VLr+eNGmSNM/+/fuLhQsXqpzMl5GRIXr37i1MTU3L5PLrF40dO1Z4eHgIIXJP+vTw8BCVK1eWLvvcsmVLoeudNENGRoaYMmWKaNKkiTAxMRH6+vrC0dFRTJ8+XboCLiUlRXz++efC2tpa6OjoCKVSKQYNGiRu3LghhHj9k30L8vLJvvHx8aJt27ZCoVAIpVIplixZIjw8PMTYsWOlOgXtcxo2bKhyCfKrPk9CCOHv7y+qVq0qDA0NxccffyzGjBkjWrZsqVJnw4YNolGjRkJXV1dUrlxZvPfeeyIkJESK9eV9at6l0S/ewqKgdVDSdvMun8/bXwghxMiRI4WZmRkvvy4mmRAvncxAb6U5c+Zg+fLlSExMVHcoauHj44PHjx/zVutE76AOHTrA0tIS69atU3coVA54jsxb6qeffkKzZs1gZmaGsLAwzJs3D5999pm6wyIiKldpaWlYvnw5OnXqBG1tbWzatAmhoaE4dOiQukOjcsJE5i2Vd2z433//Rc2aNTFhwgRMnTpV3WEREZUrmUyGvXv3Ys6cOcjIyICjoyN27NgBLy8vdYdG5YSHloiIiEhj8aolIiIi0lhMZIiIiEhjMZEhIiIijcVEhoiIiDQWExkiIiLSWExkiIiISGMxkSEiIiKNxUSGiIiINNb/AVxmR0Ez2LfVAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                            OLS Regression Results                            \n",
            "==============================================================================\n",
            "Dep. Variable:        Self-Management   R-squared:                       0.235\n",
            "Model:                            OLS   Adj. R-squared:                  0.197\n",
            "Method:                 Least Squares   F-statistic:                     6.160\n",
            "Date:                Fri, 21 Jun 2024   Prob (F-statistic):             0.0221\n",
            "Time:                        16:49:00   Log-Likelihood:                -55.251\n",
            "No. Observations:                  22   AIC:                             114.5\n",
            "Df Residuals:                      20   BIC:                             116.7\n",
            "Df Model:                           1                                         \n",
            "Covariance Type:            nonrobust                                         \n",
            "=========================================================================================\n",
            "                            coef    std err          t      P>|t|      [0.025      0.975]\n",
            "-----------------------------------------------------------------------------------------\n",
            "const                    44.2551      9.955      4.445      0.000      23.488      65.022\n",
            "Rigorous Expectations     0.4754      0.192      2.482      0.022       0.076       0.875\n",
            "==============================================================================\n",
            "Omnibus:                        1.592   Durbin-Watson:                   2.283\n",
            "Prob(Omnibus):                  0.451   Jarque-Bera (JB):                0.711\n",
            "Skew:                          -0.431   Prob(JB):                        0.701\n",
            "Kurtosis:                       3.176   Cond. No.                         776.\n",
            "==============================================================================\n",
            "\n",
            "Notes:\n",
            "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Self-Management and/vs Sense of Belonging"
      ],
      "metadata": {
        "id": "qiKv9rAjijIQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "xinput = \"Self-Management\" # @param {type:\"string\"}\n",
        "yinput = \"Sense of Belonging\" # @param {type:\"string\"}\n",
        "averagex = \"avg_selfmanagement\" # @param {type:\"string\"}\n",
        "averagey = \"avg_senseofbelonging\" # @param {type:\"string\"}\n",
        "averagexnod2 = averagex + \"_notd2\"\n",
        "averageynod2 = averagey + \"_notd2\"\n",
        "plt.style.use('default')\n",
        "\n",
        "#Boxplot for Rigorous Expectations\n",
        "plt.boxplot([df[xinput].dropna(), df[yinput].dropna()], labels=[xinput, yinput], vert=True)\n",
        "plt.title('Boxplot for ' + xinput + ' and ' + yinput)\n",
        "plt.scatter(1, colonial_hs[xinput], color='red', zorder=5, label=\"Colonial HS\")\n",
        "plt.scatter(1, lake_nona_hs[xinput], color='blue', zorder=5, label=\"Lake Nona HS\")\n",
        "plt.scatter(2, colonial_hs[yinput], color='red', zorder=5)\n",
        "plt.scatter(2, lake_nona_hs[yinput], color='blue', zorder=5)\n",
        "plt.legend()\n",
        "plt.ylabel('Scores')\n",
        "plt.show()\n",
        "\n",
        "# All High Schools - School Climate vs. Rigor Expectations Score\n",
        "plt.scatter(df[xinput],\n",
        "            df[yinput],\n",
        "            c='black')\n",
        "plt.scatter(colonial_hs[xinput],\n",
        "            colonial_hs[yinput],\n",
        "            c='red',\n",
        "            label='Colonial High')\n",
        "plt.scatter(colonial_hs[xinput],\n",
        "            lake_nona_hs[yinput],\n",
        "            c='blue',\n",
        "            label='Lake Nona High')\n",
        "plt.scatter(hs[averagex],\n",
        "            hs[averagey],\n",
        "            color='grey',\n",
        "            label='Average - All Schools')\n",
        "plt.scatter(hs[averagexnod2],\n",
        "            hs[averageynod2],\n",
        "            color='tan',\n",
        "            label='Average - Without D2')\n",
        "plt.title('Scores for ' + xinput + ' and ' + yinput + ' - All High Schools')\n",
        "plt.xlabel(xinput)\n",
        "plt.ylabel(yinput)\n",
        "plt.xlim(20, 80)\n",
        "plt.ylim(20, 80)\n",
        "plt.legend()\n",
        "plt.show()\n",
        "\n",
        "# All High Schools - School Climate vs. Rigor Expectations Score (Scores above 50)\n",
        "texts = []\n",
        "for x in df.index:\n",
        "    if df.loc[x, xinput] > 50 and df.loc[x, yinput] > 40:\n",
        "        plt.scatter(df.loc[x, xinput], df.loc[x, yinput], color=\"black\")\n",
        "      #  texts.append(plt.text(df.loc[x, xinput], df.loc[x, yinput], df.loc[x, 'Name'],\n",
        "                     #         fontsize=9, ha='right', va='bottom'))\n",
        "plt.scatter(colonial_hs[xinput],\n",
        "            colonial_hs[yinput],\n",
        "            c='red',\n",
        "            label='Colonial High')\n",
        "plt.scatter(lake_nona_hs[xinput],\n",
        "            lake_nona_hs[yinput],\n",
        "            c='blue',\n",
        "            label='Lake Nona High')\n",
        "plt.scatter(hs[averagex],\n",
        "            hs[averagey],\n",
        "            color='grey',\n",
        "            label='Average - All Schools')\n",
        "plt.scatter(hs[averagexnod2],\n",
        "            hs[averageynod2],\n",
        "            color='tan',\n",
        "            label='Average - Without D2')\n",
        "top_points = df[(df[xinput] > 50) & (df[yinput] > 40)]\n",
        "offsets = [(-60, 10), (-10, 40)]  # Different offsets for each point\n",
        "for idx, (offset, row) in enumerate(zip(offsets, top_points.iterrows())):\n",
        "    row = row[1]\n",
        "    plt.scatter(row[xinput], row[yinput], color='black')\n",
        "    plt.annotate(\n",
        "        row['Name'],\n",
        "        (row[xinput], row[yinput]),\n",
        "        textcoords=\"offset points\",\n",
        "        xytext=offset,  # Adjust this to move the label to a desired position\n",
        "        ha='center',\n",
        "        arrowprops=dict(arrowstyle='->', connectionstyle='arc3,rad=0.5', color='black')\n",
        "    )\n",
        "plt.title('Scores for ' + xinput + ' and ' + yinput + ' - Top High Schools')\n",
        "plt.xlabel(xinput)\n",
        "plt.ylabel(yinput)\n",
        "plt.xlim(20, 80)\n",
        "plt.ylim(20, 80)\n",
        "plt.legend()\n",
        "plt.show()\n",
        "\n",
        "# OLS Regression between Rigorous Expectations and School Climate\n",
        "y = df[yinput]\n",
        "X = df[xinput]\n",
        "\n",
        "X = X.replace([np.inf, -np.inf], np.nan).dropna()\n",
        "y = y.loc[X.index]\n",
        "\n",
        "X = sm.add_constant(X)\n",
        "model = sm.OLS(y, X).fit()\n",
        "print(model.summary())\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "6guyrHn2ndv_",
        "outputId": "7a054b03-602e-4e2e-8b93-0a32a26c8cd5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                            OLS Regression Results                            \n",
            "==============================================================================\n",
            "Dep. Variable:     Sense of Belonging   R-squared:                       0.482\n",
            "Model:                            OLS   Adj. R-squared:                  0.456\n",
            "Method:                 Least Squares   F-statistic:                     18.63\n",
            "Date:                Fri, 21 Jun 2024   Prob (F-statistic):           0.000336\n",
            "Time:                        16:49:07   Log-Likelihood:                -59.550\n",
            "No. Observations:                  22   AIC:                             123.1\n",
            "Df Residuals:                      20   BIC:                             125.3\n",
            "Df Model:                           1                                         \n",
            "Covariance Type:            nonrobust                                         \n",
            "===================================================================================\n",
            "                      coef    std err          t      P>|t|      [0.025      0.975]\n",
            "-----------------------------------------------------------------------------------\n",
            "const             -37.9694     16.400     -2.315      0.031     -72.180      -3.759\n",
            "Self-Management     1.0259      0.238      4.316      0.000       0.530       1.522\n",
            "==============================================================================\n",
            "Omnibus:                        3.698   Durbin-Watson:                   1.421\n",
            "Prob(Omnibus):                  0.157   Jarque-Bera (JB):                1.895\n",
            "Skew:                           0.613   Prob(JB):                        0.388\n",
            "Kurtosis:                       3.751   Cond. No.                     1.40e+03\n",
            "==============================================================================\n",
            "\n",
            "Notes:\n",
            "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
            "[2] The condition number is large, 1.4e+03. This might indicate that there are\n",
            "strong multicollinearity or other numerical problems.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Self Management and/vs School Climate"
      ],
      "metadata": {
        "id": "L7QEST14tWQT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "xinput = \"Self-Management\" # @param {type:\"string\"}\n",
        "yinput = \"School Climate\" # @param {type:\"string\"}\n",
        "averagex = \"avg_selfmanagement\" # @param {type:\"string\"}\n",
        "averagey = \"avg_schoolclimate\" # @param {type:\"string\"}\n",
        "averagexnod2 = averagex + \"_notd2\"\n",
        "averageynod2 = averagey + \"_notd2\"\n",
        "plt.style.use('default')\n",
        "\n",
        "#Boxplot for Rigorous Expectations\n",
        "plt.boxplot([df[xinput].dropna(), df[yinput].dropna()], labels=[xinput, yinput], vert=True)\n",
        "plt.title('Boxplot for ' + xinput + ' and ' + yinput)\n",
        "plt.scatter(1, colonial_hs[xinput], color='red', zorder=5, label=\"Colonial HS\")\n",
        "plt.scatter(1, lake_nona_hs[xinput], color='blue', zorder=5, label=\"Lake Nona HS\")\n",
        "plt.scatter(2, colonial_hs[yinput], color='red', zorder=5)\n",
        "plt.scatter(2, lake_nona_hs[yinput], color='blue', zorder=5)\n",
        "plt.legend()\n",
        "plt.ylabel('Scores')\n",
        "plt.show()\n",
        "\n",
        "# All High Schools - School Climate vs. Rigor Expectations Score\n",
        "plt.scatter(df[xinput],\n",
        "            df[yinput],\n",
        "            c='black')\n",
        "plt.scatter(colonial_hs[xinput],\n",
        "            colonial_hs[yinput],\n",
        "            c='red',\n",
        "            label='Colonial High')\n",
        "plt.scatter(colonial_hs[xinput],\n",
        "            lake_nona_hs[yinput],\n",
        "            c='blue',\n",
        "            label='Lake Nona High')\n",
        "plt.scatter(hs[averagex],\n",
        "            hs[averagey],\n",
        "            color='grey',\n",
        "            label='Average - All Schools')\n",
        "plt.scatter(hs[averagexnod2],\n",
        "            hs[averageynod2],\n",
        "            color='tan',\n",
        "            label='Average - Without D2')\n",
        "plt.title('Scores for ' + xinput + ' and ' + yinput + ' - All High Schools')\n",
        "plt.xlabel(xinput)\n",
        "plt.ylabel(yinput)\n",
        "plt.xlim(20, 80)\n",
        "plt.ylim(20, 80)\n",
        "plt.legend()\n",
        "plt.show()\n",
        "\n",
        "# All High Schools - School Climate vs. Rigor Expectations Score (Scores above 50)\n",
        "texts = []\n",
        "for x in df.index:\n",
        "    if df.loc[x, xinput] > 50 and df.loc[x, yinput] > 40:\n",
        "        plt.scatter(df.loc[x, xinput], df.loc[x, yinput], color=\"black\")\n",
        "      #  texts.append(plt.text(df.loc[x, xinput], df.loc[x, yinput], df.loc[x, 'Name'],\n",
        "                     #         fontsize=9, ha='right', va='bottom'))\n",
        "plt.scatter(colonial_hs[xinput],\n",
        "            colonial_hs[yinput],\n",
        "            c='red',\n",
        "            label='Colonial High')\n",
        "plt.scatter(lake_nona_hs[xinput],\n",
        "            lake_nona_hs[yinput],\n",
        "            c='blue',\n",
        "            label='Lake Nona High')\n",
        "plt.scatter(hs[averagex],\n",
        "            hs[averagey],\n",
        "            color='grey',\n",
        "            label='Average - All Schools')\n",
        "plt.scatter(hs[averagexnod2],\n",
        "            hs[averageynod2],\n",
        "            color='tan',\n",
        "            label='Average - Without D2')\n",
        "top_points = df[(df[xinput] > 50) & (df[yinput] > 40)]\n",
        "offsets = [(-60, 10), (-10, 40)]  # Different offsets for each point\n",
        "for idx, (offset, row) in enumerate(zip(offsets, top_points.iterrows())):\n",
        "    row = row[1]\n",
        "    plt.scatter(row[xinput], row[yinput], color='black')\n",
        "    plt.annotate(\n",
        "        row['Name'],\n",
        "        (row[xinput], row[yinput]),\n",
        "        textcoords=\"offset points\",\n",
        "        xytext=offset,  # Adjust this to move the label to a desired position\n",
        "        ha='center',\n",
        "        arrowprops=dict(arrowstyle='->', connectionstyle='arc3,rad=0.5', color='black')\n",
        "    )\n",
        "plt.title('Scores for ' + xinput + ' and ' + yinput + ' - Top High Schools')\n",
        "plt.xlabel(xinput)\n",
        "plt.ylabel(yinput)\n",
        "plt.xlim(20, 80)\n",
        "plt.ylim(20, 80)\n",
        "plt.legend()\n",
        "plt.show()\n",
        "\n",
        "# OLS Regression between Rigorous Expectations and School Climate\n",
        "y = df[yinput]\n",
        "X = df[xinput]\n",
        "\n",
        "X = X.replace([np.inf, -np.inf], np.nan).dropna()\n",
        "y = y.loc[X.index]\n",
        "\n",
        "X = sm.add_constant(X)\n",
        "model = sm.OLS(y, X).fit()\n",
        "print(model.summary())\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "UUUDOlJctbiZ",
        "outputId": "0e8c586c-dd2d-44d6-dbf5-393fdae71346"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                            OLS Regression Results                            \n",
            "==============================================================================\n",
            "Dep. Variable:         School Climate   R-squared:                       0.503\n",
            "Model:                            OLS   Adj. R-squared:                  0.478\n",
            "Method:                 Least Squares   F-statistic:                     20.23\n",
            "Date:                Fri, 21 Jun 2024   Prob (F-statistic):           0.000220\n",
            "Time:                        16:49:16   Log-Likelihood:                -62.599\n",
            "No. Observations:                  22   AIC:                             129.2\n",
            "Df Residuals:                      20   BIC:                             131.4\n",
            "Df Model:                           1                                         \n",
            "Covariance Type:            nonrobust                                         \n",
            "===================================================================================\n",
            "                      coef    std err          t      P>|t|      [0.025      0.975]\n",
            "-----------------------------------------------------------------------------------\n",
            "const             -53.0394     18.839     -2.815      0.011     -92.336     -13.743\n",
            "Self-Management     1.2281      0.273      4.498      0.000       0.659       1.798\n",
            "==============================================================================\n",
            "Omnibus:                        1.832   Durbin-Watson:                   1.376\n",
            "Prob(Omnibus):                  0.400   Jarque-Bera (JB):                1.075\n",
            "Skew:                           0.541   Prob(JB):                        0.584\n",
            "Kurtosis:                       2.998   Cond. No.                     1.40e+03\n",
            "==============================================================================\n",
            "\n",
            "Notes:\n",
            "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
            "[2] The condition number is large, 1.4e+03. This might indicate that there are\n",
            "strong multicollinearity or other numerical problems.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Correlations (MS)"
      ],
      "metadata": {
        "id": "6VicYf2YvJIi"
      }
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "3vFD-Tnbs5pS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "xinput = \"Self-Management\" # @param {type:\"string\"}\n",
        "yinput = \"School Climate\" # @param {type:\"string\"}\n",
        "averagex = \"avg_selfmanagement\" # @param {type:\"string\"}\n",
        "averagey = \"avg_schoolclimate\" # @param {type:\"string\"}\n",
        "averagexnod2 = averagex + \"_notd2\"\n",
        "averageynod2 = averagey + \"_notd2\"\n",
        "plt.style.use('default')\n",
        "\n",
        "#Boxplot for Rigorous Expectations\n",
        "plt.boxplot([df[xinput].dropna(), df[yinput].dropna()], labels=[xinput, yinput], vert=True)\n",
        "plt.title('Boxplot for ' + xinput + ' and ' + yinput)\n",
        "plt.scatter(1, ms[averagex], color='grey', zorder=5, label=\"Average - All Schools\")\n",
        "plt.scatter(1, ms[averagexnod2], color='tan', zorder=5, label=\"Average - Without D2\")\n",
        "plt.scatter(2, ms[averagey], color='grey', zorder=5)\n",
        "plt.scatter(2, ms[averageynod2], color='tan', zorder=5)\n",
        "plt.legend()\n",
        "plt.ylabel('Scores')\n",
        "plt.show()\n",
        "\n",
        "# All Middle Schools - X v Y\n",
        "plt.scatter(df[xinput],\n",
        "            df[yinput],\n",
        "            c='black')\n",
        "plt.scatter(hs[averagex],\n",
        "            hs[averagey],\n",
        "            color='grey',\n",
        "            label='Average - All Schools')\n",
        "plt.scatter(hs[averagexnod2],\n",
        "            hs[averageynod2],\n",
        "            color='tan',\n",
        "            label='Average - Without D2')\n",
        "plt.title('Scores for ' + xinput + ' and ' + yinput + ' - All High Schools')\n",
        "plt.xlabel(xinput)\n",
        "plt.ylabel(yinput)\n",
        "plt.xlim(20, 80)\n",
        "plt.ylim(20, 80)\n",
        "plt.legend()\n",
        "plt.show()\n",
        "\n",
        "# All Middle Schools - X v Y (Scores above 50)\n",
        "texts = []\n",
        "for x in df.index:\n",
        "    if df.loc[x, xinput] > 50 and df.loc[x, yinput] > 40:\n",
        "        plt.scatter(df.loc[x, xinput], df.loc[x, yinput], color=\"black\")\n",
        "      #  texts.append(plt.text(df.loc[x, xinput], df.loc[x, yinput], df.loc[x, 'Name'],\n",
        "                     #         fontsize=9, ha='right', va='bottom'))\n",
        "plt.scatter(hs[averagex],\n",
        "            hs[averagey],\n",
        "            color='grey',\n",
        "            label='Average - All Schools')\n",
        "plt.scatter(hs[averagexnod2],\n",
        "            hs[averageynod2],\n",
        "            color='tan',\n",
        "            label='Average - Without D2')\n",
        "top_points = df[(df[xinput] > 50) & (df[yinput] > 40)]\n",
        "offsets = [(-60, 10), (-10, 40)]  # Different offsets for each point\n",
        "for idx, (offset, row) in enumerate(zip(offsets, top_points.iterrows())):\n",
        "    row = row[1]\n",
        "    plt.scatter(row[xinput], row[yinput], color='black')\n",
        "    plt.annotate(\n",
        "        row['Name'],\n",
        "        (row[xinput], row[yinput]),\n",
        "        textcoords=\"offset points\",\n",
        "        xytext=offset,  # Adjust this to move the label to a desired position\n",
        "        ha='center',\n",
        "        arrowprops=dict(arrowstyle='->', connectionstyle='arc3,rad=0.5', color='black')\n",
        "    )\n",
        "plt.title('Scores for ' + xinput + ' and ' + yinput + ' - Top Middle Schools')\n",
        "plt.xlabel(xinput)\n",
        "plt.ylabel(yinput)\n",
        "plt.xlim(20, 80)\n",
        "plt.ylim(20, 80)\n",
        "plt.legend()\n",
        "plt.show()\n",
        "\n",
        "# OLS Regression between Rigorous Expectations and School Climate\n",
        "y = df[yinput]\n",
        "X = df[xinput]\n",
        "\n",
        "X = X.replace([np.inf, -np.inf], np.nan).dropna()\n",
        "y = y.loc[X.index]\n",
        "\n",
        "X = sm.add_constant(X)\n",
        "model = sm.OLS(y, X).fit()\n",
        "print(model.summary())\n"
      ],
      "metadata": {
        "id": "4kITZagtvKij",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "8f976348-fc16-478d-e754-5cc1ff2b16dc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                            OLS Regression Results                            \n",
            "==============================================================================\n",
            "Dep. Variable:         School Climate   R-squared:                       0.503\n",
            "Model:                            OLS   Adj. R-squared:                  0.478\n",
            "Method:                 Least Squares   F-statistic:                     20.23\n",
            "Date:                Fri, 21 Jun 2024   Prob (F-statistic):           0.000220\n",
            "Time:                        16:53:32   Log-Likelihood:                -62.599\n",
            "No. Observations:                  22   AIC:                             129.2\n",
            "Df Residuals:                      20   BIC:                             131.4\n",
            "Df Model:                           1                                         \n",
            "Covariance Type:            nonrobust                                         \n",
            "===================================================================================\n",
            "                      coef    std err          t      P>|t|      [0.025      0.975]\n",
            "-----------------------------------------------------------------------------------\n",
            "const             -53.0394     18.839     -2.815      0.011     -92.336     -13.743\n",
            "Self-Management     1.2281      0.273      4.498      0.000       0.659       1.798\n",
            "==============================================================================\n",
            "Omnibus:                        1.832   Durbin-Watson:                   1.376\n",
            "Prob(Omnibus):                  0.400   Jarque-Bera (JB):                1.075\n",
            "Skew:                           0.541   Prob(JB):                        0.584\n",
            "Kurtosis:                       2.998   Cond. No.                     1.40e+03\n",
            "==============================================================================\n",
            "\n",
            "Notes:\n",
            "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
            "[2] The condition number is large, 1.4e+03. This might indicate that there are\n",
            "strong multicollinearity or other numerical problems.\n"
          ]
        }
      ]
    }
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