analysis/analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import statsmodels.api as sm\n",
    "import statsmodels.formula.api as smf\n",
    "from statsmodels.formula.api import logit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "# Get the current working directory\n",
    "current_dir = os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_path_abortion = os.path.join(current_dir, 'abortion.csv')\n",
    "file_path_music = os.path.join(current_dir, 'music.csv')\n",
    "file_path_random = os.path.join(current_dir, 'random.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_abortion = pd.read_csv(file_path_abortion)\n",
    "df_music = pd.read_csv(file_path_music)\n",
    "df_random = pd.read_csv(file_path_random)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_random['engage_binary'] = df_random['engagement'].apply(lambda x: 1 if x > 0 else 0)\n",
    "df_music['engage_binary'] = df_music['engagement'].apply(lambda x: 1 if x > 0 else 0)\n",
    "df_abortion['engage_binary'] = df_abortion['engagement'].apply(lambda x: 1 if x > 0 else 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_engagement_level(count):\n",
    "    if count == 0:\n",
    "        return 0\n",
    "    elif count < 3:\n",
    "        return 1\n",
    "    elif count < 150:\n",
    "        return 2\n",
    "    elif count < 1000:\n",
    "        return 3\n",
    "    else:\n",
    "        return 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_abortion['engagement_level'] = df_abortion['engagement'].apply(get_engagement_level)\n",
    "df_random['engagement_level'] = df_random['engagement'].apply(get_engagement_level)\n",
    "df_music['engagement_level'] = df_music['engagement'].apply(get_engagement_level)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_valence(compound):\n",
    "    if compound <= -0.05:\n",
    "        return 'neg'\n",
    "    elif compound >= 0.05:\n",
    "        return 'pos'\n",
    "    else:\n",
    "        return 'neu'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_abortion['valence'] = df_abortion['compound'].apply(get_valence)\n",
    "df_random['valence'] = df_random['compound'].apply(get_valence)\n",
    "df_music['valence'] = df_music['compound'].apply(get_valence)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_all = pd.concat([df_random, df_music, df_abortion], axis=0).reset_index()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    15000.000000\n",
       "mean        14.923667\n",
       "std        242.968905\n",
       "min          0.000000\n",
       "25%          0.000000\n",
       "50%          1.000000\n",
       "75%          3.000000\n",
       "max      15439.000000\n",
       "Name: engagement, dtype: float64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all['engagement'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    15000.000\n",
       "mean         0.067\n",
       "std          0.515\n",
       "min         -0.990\n",
       "25%         -0.318\n",
       "50%          0.000\n",
       "75%          0.494\n",
       "max          1.000\n",
       "Name: compound, dtype: float64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all['compound'].describe().round(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    15000.000\n",
       "mean         0.414\n",
       "std          0.314\n",
       "min          0.000\n",
       "25%          0.076\n",
       "50%          0.422\n",
       "75%          0.683\n",
       "max          1.000\n",
       "Name: absolute intensity, dtype: float64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all['absolute intensity'].describe().round(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count       15000.00\n",
       "mean        20234.57\n",
       "std        640853.25\n",
       "min             0.00\n",
       "25%            76.00\n",
       "50%           319.00\n",
       "75%          1220.00\n",
       "max      55093025.00\n",
       "Name: followersCount, dtype: float64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all['followersCount'].describe().round(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    9334\n",
       "0    5666\n",
       "Name: engage_binary, dtype: int64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all['engage_binary'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    5666\n",
       "1    5321\n",
       "2    3853\n",
       "3     130\n",
       "4      30\n",
       "Name: engagement_level, dtype: int64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all['engagement_level'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pos    6486\n",
       "neg    4904\n",
       "neu    3610\n",
       "Name: valence, dtype: int64"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all['valence'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'count of tweets')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.countplot(x=df_all['engage_binary'])\n",
    "ax.set_xticklabels(['without engagement', 'with engagement'])\n",
    "plt.xlabel(\" \")\n",
    "plt.ylabel(\"count of tweets\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "def compound_hist(df, topic):\n",
    "    plt.hist(df['compound'])\n",
    "    plt.title(f\"Distribution of Compound Scores of {topic}\")\n",
    "    plt.xlabel(\"Compound\")\n",
    "    plt.ylabel(\"Count\")\n",
    "    return plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt1 = compound_hist(df_all, 'All')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt2 = compound_hist(df_abortion, 'Abortion')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt3 = compound_hist(df_music, 'Music/Movie')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Regression Models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "# select non-zero engagemnet rows for linear regressions \n",
    "random_select = df_random[df_random['engagement'] > 0]\n",
    "abortion_select = df_abortion[df_abortion['engagement'] > 0]\n",
    "music_select = df_music[df_music['engagement'] > 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "def linear_reg(df):\n",
    "    scaler = StandardScaler()\n",
    "    data = pd.DataFrame({'x': df['absolute intensity'], \n",
    "                         'confounder': df['followersCount'], \n",
    "                         'y': np.log(df['engagement'])})\n",
    "    scaler.fit(data)\n",
    "    df_scaled = pd.DataFrame(scaler.transform(data), columns=data.columns)\n",
    "\n",
    "    model = smf.ols('y ~ x + confounder', data=df_scaled).fit()\n",
    "    print(model.summary(), model.pvalues)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "def logistic_reg(df):\n",
    "    \n",
    "    data = pd.DataFrame({'x': df['absolute intensity'], \n",
    "                         'confounder': df['followersCount'], \n",
    "                         'y': df['engage_binary']})\n",
    "\n",
    "    formula = ('y ~ x + confounder')\n",
    "    model = logit(formula=formula, data=data).fit()\n",
    "    print(model.summary(), model.pvalues)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: 0.643386\n",
      "         Iterations 11\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   No. Observations:                 5000\n",
      "Model:                          Logit   Df Residuals:                     4997\n",
      "Method:                           MLE   Df Model:                            2\n",
      "Date:                Wed, 24 May 2023   Pseudo R-squ.:                0.003187\n",
      "Time:                        15:14:45   Log-Likelihood:                -3216.9\n",
      "converged:                       True   LL-Null:                       -3227.2\n",
      "Covariance Type:            nonrobust   LLR p-value:                 3.419e-05\n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept      0.5246      0.050     10.565      0.000       0.427       0.622\n",
      "x              0.2135      0.096      2.223      0.026       0.025       0.402\n",
      "confounder  7.951e-06    3.1e-06      2.566      0.010    1.88e-06     1.4e-05\n",
      "============================================================================== Intercept     4.326095e-26\n",
      "x             2.619209e-02\n",
      "confounder    1.027600e-02\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "logistic_reg(df_random)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: 0.662809\n",
      "         Iterations 12\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   No. Observations:                 5000\n",
      "Model:                          Logit   Df Residuals:                     4997\n",
      "Method:                           MLE   Df Model:                            2\n",
      "Date:                Wed, 24 May 2023   Pseudo R-squ.:                 0.02688\n",
      "Time:                        15:16:07   Log-Likelihood:                -3314.0\n",
      "converged:                       True   LL-Null:                       -3405.6\n",
      "Covariance Type:            nonrobust   LLR p-value:                 1.750e-40\n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept     -0.0047      0.053     -0.089      0.929      -0.109       0.099\n",
      "x              0.4796      0.097      4.936      0.000       0.289       0.670\n",
      "confounder  3.243e-05   5.02e-06      6.456      0.000    2.26e-05    4.23e-05\n",
      "============================================================================== Intercept     9.289375e-01\n",
      "x             7.989817e-07\n",
      "confounder    1.072369e-10\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "logistic_reg(df_abortion)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: 0.649750\n",
      "         Iterations 7\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   No. Observations:                 5000\n",
      "Model:                          Logit   Df Residuals:                     4997\n",
      "Method:                           MLE   Df Model:                            2\n",
      "Date:                Wed, 24 May 2023   Pseudo R-squ.:                0.008883\n",
      "Time:                        15:16:17   Log-Likelihood:                -3248.7\n",
      "converged:                       True   LL-Null:                       -3277.9\n",
      "Covariance Type:            nonrobust   LLR p-value:                 2.261e-13\n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept      0.3114      0.045      6.993      0.000       0.224       0.399\n",
      "x              0.6216      0.091      6.848      0.000       0.444       0.800\n",
      "confounder  5.783e-06    2.4e-06      2.413      0.016    1.09e-06    1.05e-05\n",
      "============================================================================== Intercept     2.695370e-12\n",
      "x             7.463210e-12\n",
      "confounder    1.583423e-02\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "logistic_reg(df_music)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.014\n",
      "Model:                            OLS   Adj. R-squared:                  0.013\n",
      "Method:                 Least Squares   F-statistic:                     23.02\n",
      "Date:                Wed, 24 May 2023   Prob (F-statistic):           1.18e-10\n",
      "Time:                        15:10:50   Log-Likelihood:                -4611.4\n",
      "No. Observations:                3266   AIC:                             9229.\n",
      "Df Residuals:                    3263   BIC:                             9247.\n",
      "Df Model:                           2                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept  -1.231e-16      0.017  -7.08e-15      1.000      -0.034       0.034\n",
      "x              0.0418      0.017      2.405      0.016       0.008       0.076\n",
      "confounder     0.1098      0.017      6.316      0.000       0.076       0.144\n",
      "==============================================================================\n",
      "Omnibus:                     1147.367   Durbin-Watson:                   1.989\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             4081.813\n",
      "Skew:                           1.750   Prob(JB):                         0.00\n",
      "Kurtosis:                       7.213   Cond. No.                         1.01\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified. Intercept     1.000000e+00\n",
      "x             1.624331e-02\n",
      "confounder    3.054290e-10\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "linear_reg(random_select)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.020\n",
      "Model:                            OLS   Adj. R-squared:                  0.019\n",
      "Method:                 Least Squares   F-statistic:                     28.77\n",
      "Date:                Wed, 24 May 2023   Prob (F-statistic):           4.24e-13\n",
      "Time:                        15:16:27   Log-Likelihood:                -4068.0\n",
      "No. Observations:                2887   AIC:                             8142.\n",
      "Df Residuals:                    2884   BIC:                             8160.\n",
      "Df Model:                           2                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept   6.451e-17      0.018    3.5e-15      1.000      -0.036       0.036\n",
      "x              0.0121      0.018      0.654      0.513      -0.024       0.048\n",
      "confounder     0.1397      0.018      7.574      0.000       0.104       0.176\n",
      "==============================================================================\n",
      "Omnibus:                      946.888   Durbin-Watson:                   2.049\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             2933.634\n",
      "Skew:                           1.683   Prob(JB):                         0.00\n",
      "Kurtosis:                       6.614   Cond. No.                         1.03\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified. Intercept     1.000000e+00\n",
      "x             5.132844e-01\n",
      "confounder    4.825649e-14\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "linear_reg(abortion_select)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.020\n",
      "Model:                            OLS   Adj. R-squared:                  0.019\n",
      "Method:                 Least Squares   F-statistic:                     31.61\n",
      "Date:                Wed, 24 May 2023   Prob (F-statistic):           2.55e-14\n",
      "Time:                        15:16:38   Log-Likelihood:                -4482.3\n",
      "No. Observations:                3181   AIC:                             8971.\n",
      "Df Residuals:                    3178   BIC:                             8989.\n",
      "Df Model:                           2                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept  -1.034e-16      0.018  -5.89e-15      1.000      -0.034       0.034\n",
      "x              0.0438      0.018      2.496      0.013       0.009       0.078\n",
      "confounder     0.1320      0.018      7.514      0.000       0.098       0.166\n",
      "==============================================================================\n",
      "Omnibus:                     1160.427   Durbin-Watson:                   1.990\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             4439.233\n",
      "Skew:                           1.791   Prob(JB):                         0.00\n",
      "Kurtosis:                       7.546   Cond. No.                         1.01\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified. Intercept     1.000000e+00\n",
      "x             1.261728e-02\n",
      "confounder    7.395940e-14\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "linear_reg(music_select)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Valence involved"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_abortion_neg = df_abortion[df_abortion['compound'] < -0.05]\n",
    "df_abortion_pos = df_abortion[df_abortion['compound'] > 0.05]\n",
    "\n",
    "df_music_neg = df_music[df_music['compound'] < -0.05]\n",
    "df_music_pos = df_music[df_music['compound'] > 0.05]\n",
    "\n",
    "df_random_neg = df_random[df_random['compound'] < -0.05]\n",
    "df_random_pos = df_random[df_random['compound'] > 0.05]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: 0.663787\n",
      "         Iterations 12\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   No. Observations:                 2363\n",
      "Model:                          Logit   Df Residuals:                     2360\n",
      "Method:                           MLE   Df Model:                            2\n",
      "Date:                Wed, 24 May 2023   Pseudo R-squ.:                 0.02476\n",
      "Time:                        15:34:29   Log-Likelihood:                -1568.5\n",
      "converged:                       True   LL-Null:                       -1608.3\n",
      "Covariance Type:            nonrobust   LLR p-value:                 5.103e-18\n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept      0.1175      0.109      1.082      0.279      -0.095       0.330\n",
      "x              0.1782      0.173      1.029      0.303      -0.161       0.518\n",
      "confounder  3.104e-05   7.53e-06      4.124      0.000    1.63e-05    4.58e-05\n",
      "============================================================================== Intercept     0.279051\n",
      "x             0.303411\n",
      "confounder    0.000037\n",
      "dtype: float64\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.654002\n",
      "         Iterations 12\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   No. Observations:                 1784\n",
      "Model:                          Logit   Df Residuals:                     1781\n",
      "Method:                           MLE   Df Model:                            2\n",
      "Date:                Wed, 24 May 2023   Pseudo R-squ.:                 0.02323\n",
      "Time:                        15:34:29   Log-Likelihood:                -1166.7\n",
      "converged:                       True   LL-Null:                       -1194.5\n",
      "Covariance Type:            nonrobust   LLR p-value:                 8.938e-13\n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept      0.0336      0.114      0.295      0.768      -0.190       0.257\n",
      "x              0.6156      0.207      2.975      0.003       0.210       1.021\n",
      "confounder  3.542e-05   9.13e-06      3.880      0.000    1.75e-05    5.33e-05\n",
      "============================================================================== Intercept     0.768054\n",
      "x             0.002928\n",
      "confounder    0.000104\n",
      "dtype: float64\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.636433\n",
      "         Iterations 7\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   No. Observations:                 1018\n",
      "Model:                          Logit   Df Residuals:                     1015\n",
      "Method:                           MLE   Df Model:                            2\n",
      "Date:                Wed, 24 May 2023   Pseudo R-squ.:                0.009061\n",
      "Time:                        15:34:29   Log-Likelihood:                -647.89\n",
      "converged:                       True   LL-Null:                       -653.81\n",
      "Covariance Type:            nonrobust   LLR p-value:                  0.002674\n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept      0.6286      0.154      4.078      0.000       0.326       0.931\n",
      "x             -0.1403      0.275     -0.510      0.610      -0.679       0.398\n",
      "confounder  7.415e-05   2.74e-05      2.704      0.007    2.04e-05       0.000\n",
      "============================================================================== Intercept     0.000045\n",
      "x             0.609766\n",
      "confounder    0.006855\n",
      "dtype: float64\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.628909\n",
      "         Iterations 8\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   No. Observations:                 2383\n",
      "Model:                          Logit   Df Residuals:                     2380\n",
      "Method:                           MLE   Df Model:                            2\n",
      "Date:                Wed, 24 May 2023   Pseudo R-squ.:                 0.01315\n",
      "Time:                        15:34:29   Log-Likelihood:                -1498.7\n",
      "converged:                       True   LL-Null:                       -1518.7\n",
      "Covariance Type:            nonrobust   LLR p-value:                 2.135e-09\n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept      0.1235      0.114      1.081      0.280      -0.101       0.348\n",
      "x              0.9026      0.183      4.925      0.000       0.543       1.262\n",
      "confounder  1.409e-05   5.19e-06      2.715      0.007    3.92e-06    2.43e-05\n",
      "============================================================================== Intercept     2.798540e-01\n",
      "x             8.433589e-07\n",
      "confounder    6.625343e-03\n",
      "dtype: float64\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.661378\n",
      "         Iterations 6\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   No. Observations:                 1523\n",
      "Model:                          Logit   Df Residuals:                     1520\n",
      "Method:                           MLE   Df Model:                            2\n",
      "Date:                Wed, 24 May 2023   Pseudo R-squ.:                0.001724\n",
      "Time:                        15:34:29   Log-Likelihood:                -1007.3\n",
      "converged:                       True   LL-Null:                       -1009.0\n",
      "Covariance Type:            nonrobust   LLR p-value:                    0.1756\n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept      0.4991      0.124      4.031      0.000       0.256       0.742\n",
      "x             -0.0319      0.221     -0.145      0.885      -0.465       0.401\n",
      "confounder  9.969e-06   6.83e-06      1.459      0.144   -3.42e-06    2.34e-05\n",
      "============================================================================== Intercept     0.000056\n",
      "x             0.885060\n",
      "confounder    0.144431\n",
      "dtype: float64\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.623135\n",
      "         Iterations 10\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   No. Observations:                 2317\n",
      "Model:                          Logit   Df Residuals:                     2314\n",
      "Method:                           MLE   Df Model:                            2\n",
      "Date:                Wed, 24 May 2023   Pseudo R-squ.:                0.002067\n",
      "Time:                        15:34:29   Log-Likelihood:                -1443.8\n",
      "converged:                       True   LL-Null:                       -1446.8\n",
      "Covariance Type:            nonrobust   LLR p-value:                   0.05026\n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept      0.6017      0.114      5.263      0.000       0.378       0.826\n",
      "x              0.2791      0.188      1.486      0.137      -0.089       0.647\n",
      "confounder  2.477e-06   2.15e-06      1.152      0.249   -1.74e-06    6.69e-06\n",
      "============================================================================== Intercept     1.414896e-07\n",
      "x             1.371628e-01\n",
      "confounder    2.494017e-01\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "for df in [df_abortion_neg, df_abortion_pos, df_music_neg, df_music_pos, df_random_neg, df_random_pos]:\n",
    "    logistic_reg(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_abortion_select_neg = abortion_select[abortion_select['compound'] < -0.05]\n",
    "df_abortio_select_pos = abortion_select[abortion_select['compound'] > 0.05]\n",
    "\n",
    "df_music_select_neg = music_select[music_select['compound'] < -0.05]\n",
    "df_music_select_pos = music_select[music_select['compound'] > 0.05]\n",
    "\n",
    "df_random_select_neg = random_select[random_select['compound'] < -0.05]\n",
    "df_random_select_pos = random_select[random_select['compound'] > 0.05]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.042\n",
      "Model:                            OLS   Adj. R-squared:                  0.041\n",
      "Method:                 Least Squares   F-statistic:                     30.18\n",
      "Date:                Wed, 24 May 2023   Prob (F-statistic):           1.49e-13\n",
      "Time:                        15:35:47   Log-Likelihood:                -1911.5\n",
      "No. Observations:                1368   AIC:                             3829.\n",
      "Df Residuals:                    1365   BIC:                             3845.\n",
      "Df Model:                           2                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept  -6.939e-18      0.026  -2.62e-16      1.000      -0.052       0.052\n",
      "x             -0.0141      0.027     -0.533      0.594      -0.066       0.038\n",
      "confounder     0.2046      0.027      7.716      0.000       0.153       0.257\n",
      "==============================================================================\n",
      "Omnibus:                      411.073   Durbin-Watson:                   1.987\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             1058.813\n",
      "Skew:                           1.595   Prob(JB):                    1.21e-230\n",
      "Kurtosis:                       5.898   Cond. No.                         1.05\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified. Intercept     1.000000e+00\n",
      "x             5.942465e-01\n",
      "confounder    2.302536e-14\n",
      "dtype: float64\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.014\n",
      "Model:                            OLS   Adj. R-squared:                  0.012\n",
      "Method:                 Least Squares   F-statistic:                     7.572\n",
      "Date:                Wed, 24 May 2023   Prob (F-statistic):           0.000542\n",
      "Time:                        15:35:47   Log-Likelihood:                -1532.0\n",
      "No. Observations:                1085   AIC:                             3070.\n",
      "Df Residuals:                    1082   BIC:                             3085.\n",
      "Df Model:                           2                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept   1.293e-16      0.030   4.28e-15      1.000      -0.059       0.059\n",
      "x             -0.0029      0.030     -0.095      0.925      -0.062       0.056\n",
      "confounder     0.1173      0.030      3.877      0.000       0.058       0.177\n",
      "==============================================================================\n",
      "Omnibus:                      353.997   Durbin-Watson:                   1.950\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             1032.460\n",
      "Skew:                           1.656   Prob(JB):                    6.37e-225\n",
      "Kurtosis:                       6.444   Cond. No.                         1.06\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified. Intercept     1.000000\n",
      "x             0.924684\n",
      "confounder    0.000112\n",
      "dtype: float64\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.010\n",
      "Model:                            OLS   Adj. R-squared:                  0.007\n",
      "Method:                 Least Squares   F-statistic:                     3.358\n",
      "Date:                Wed, 24 May 2023   Prob (F-statistic):             0.0354\n",
      "Time:                        15:35:47   Log-Likelihood:                -947.33\n",
      "No. Observations:                 670   AIC:                             1901.\n",
      "Df Residuals:                     667   BIC:                             1914.\n",
      "Df Model:                           2                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept  -5.334e-17      0.039  -1.38e-15      1.000      -0.076       0.076\n",
      "x              0.0209      0.039      0.543      0.587      -0.055       0.097\n",
      "confounder     0.0973      0.039      2.525      0.012       0.022       0.173\n",
      "==============================================================================\n",
      "Omnibus:                      202.229   Durbin-Watson:                   2.042\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              501.011\n",
      "Skew:                           1.566   Prob(JB):                    1.61e-109\n",
      "Kurtosis:                       5.852   Cond. No.                         1.02\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified. Intercept     1.000000\n",
      "x             0.587109\n",
      "confounder    0.011810\n",
      "dtype: float64\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.026\n",
      "Model:                            OLS   Adj. R-squared:                  0.025\n",
      "Method:                 Least Squares   F-statistic:                     21.20\n",
      "Date:                Wed, 24 May 2023   Prob (F-statistic):           8.18e-10\n",
      "Time:                        15:35:47   Log-Likelihood:                -2229.5\n",
      "No. Observations:                1586   AIC:                             4465.\n",
      "Df Residuals:                    1583   BIC:                             4481.\n",
      "Df Model:                           2                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept   7.757e-17      0.025   3.13e-15      1.000      -0.049       0.049\n",
      "x              0.0561      0.025      2.260      0.024       0.007       0.105\n",
      "confounder     0.1515      0.025      6.107      0.000       0.103       0.200\n",
      "==============================================================================\n",
      "Omnibus:                      617.309   Durbin-Watson:                   1.953\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             2546.792\n",
      "Skew:                           1.861   Prob(JB):                         0.00\n",
      "Kurtosis:                       7.968   Cond. No.                         1.00\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified. Intercept     1.000000e+00\n",
      "x             2.396106e-02\n",
      "confounder    1.276957e-09\n",
      "dtype: float64\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.066\n",
      "Model:                            OLS   Adj. R-squared:                  0.064\n",
      "Method:                 Least Squares   F-statistic:                     33.60\n",
      "Date:                Wed, 24 May 2023   Prob (F-statistic):           8.00e-15\n",
      "Time:                        15:35:47   Log-Likelihood:                -1314.0\n",
      "No. Observations:                 949   AIC:                             2634.\n",
      "Df Residuals:                     946   BIC:                             2649.\n",
      "Df Model:                           2                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept  -1.843e-17      0.031  -5.87e-16      1.000      -0.062       0.062\n",
      "x              0.0167      0.031      0.531      0.596      -0.045       0.078\n",
      "confounder     0.2576      0.031      8.194      0.000       0.196       0.319\n",
      "==============================================================================\n",
      "Omnibus:                      236.968   Durbin-Watson:                   2.025\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              672.790\n",
      "Skew:                           1.252   Prob(JB):                    8.04e-147\n",
      "Kurtosis:                       6.278   Cond. No.                         1.04\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified. Intercept     1.000000e+00\n",
      "x             5.955450e-01\n",
      "confounder    8.153032e-16\n",
      "dtype: float64\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.024\n",
      "Model:                            OLS   Adj. R-squared:                  0.022\n",
      "Method:                 Least Squares   F-statistic:                     19.01\n",
      "Date:                Wed, 24 May 2023   Prob (F-statistic):           6.94e-09\n",
      "Time:                        15:35:48   Log-Likelihood:                -2227.4\n",
      "No. Observations:                1583   AIC:                             4461.\n",
      "Df Residuals:                    1580   BIC:                             4477.\n",
      "Df Model:                           2                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept  -1.919e-17      0.025  -7.72e-16      1.000      -0.049       0.049\n",
      "x              0.0779      0.025      3.133      0.002       0.029       0.127\n",
      "confounder     0.1303      0.025      5.241      0.000       0.082       0.179\n",
      "==============================================================================\n",
      "Omnibus:                      630.204   Durbin-Watson:                   2.091\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             2652.844\n",
      "Skew:                           1.902   Prob(JB):                         0.00\n",
      "Kurtosis:                       8.075   Cond. No.                         1.02\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified. Intercept     1.000000e+00\n",
      "x             1.762750e-03\n",
      "confounder    1.811771e-07\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "for df in [df_abortion_select_neg, df_abortio_select_pos, df_music_select_neg, \n",
    "           df_music_select_pos, df_random_select_neg, df_random_select_pos]:\n",
    "    linear_reg(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [],
   "source": [
    "def compound_engage_hist(num_bins, df, topic):\n",
    "    bins_neg = np.linspace(-1, -0.05, (num_bins - 1)//2)\n",
    "    bins_pos = np.linspace(0.05, 1, (num_bins - 1)//2)\n",
    "    bins = np.concatenate((bins_neg, bins_pos))\n",
    "    # bins = np.linspace(-1, 1, num_bins+1)\n",
    "    random_list = []\n",
    "    for i in range(len(bins) - 1):\n",
    "        bin_data = df[(df['compound'] >= bins[i]) & (df['compound'] < bins[i + 1])]\n",
    "        engage_counts = bin_data['engage_binary'].value_counts()\n",
    "        for engage, count in engage_counts.items():\n",
    "            random_list.append((engage, count, (bins[i], bins[i+1])))\n",
    "    \n",
    "    random_bins = pd.DataFrame(random_list, columns=['engage_binary', 'count', 'bins'])\n",
    "    grouped_df = random_bins.groupby('bins').sum()\n",
    "    count_sum = np.array(grouped_df['count'])\n",
    "    engage_count = np.array(random_bins[random_bins['engage_binary']==1]['count'])\n",
    "    engage_prop = engage_count / count_sum\n",
    "    fig, ax = plt.subplots()\n",
    "    n, bins, patches = ax.hist(bins[:-1], bins=bins, weights=engage_prop)\n",
    "    colors = ['#1f77b4' if b < -0.05 else 'orange' if b >= 0.05 else 'grey' for b in bins]\n",
    "    for i in range(len(patches)):\n",
    "        patches[i].set_facecolor(colors[i])\n",
    "    ax.axvline(x=-0.05, color='r', linestyle='--')\n",
    "    ax.axvline(x=0.05, color='r', linestyle='--')\n",
    "    ax.text(-0.75, 0.3, 'Negative', fontsize=12, color='black')\n",
    "    ax.text(0.4, 0.3, 'Positive', fontsize=12, color='black')\n",
    "    ax.set_ylim(0,1)\n",
    "    ax.set_xlabel(\"compound\")\n",
    "    ax.set_ylabel(\"proportion of tweets with at least one engagement\")\n",
    "    ax.set_title(f\"Proportion of Engaged Tweets over Compound for {topic} Topic\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "compound_engage_hist(11, df_abortion, 'Abortion')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "compound_engage_hist(11, df_music, 'Music/Movie')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "compound_engage_hist(11, df_random, 'Random')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "def compound_hist_binary_engage(df, topic, num_bins):\n",
    "    fig, ax = plt.subplots()\n",
    "\n",
    "    ax.hist(df[df['engage_binary'] == 1]['compound'], alpha = 0.5, bins=num_bins)\n",
    "    ax.hist(df[df['engage_binary'] == 0]['compound'], alpha = 0.5, bins=num_bins)\n",
    "\n",
    "    ax.legend(df['engage_binary'], labels=['with engagement', 'no engagement'])\n",
    "    ax.axvline(x=-0.05, color='r', linestyle='--')\n",
    "    ax.axvline(x=0.05, color='r', linestyle='--')\n",
    "    ax.text(-0.75, 300, 'Negative', fontsize=12, color='black')\n",
    "    ax.text(0.4, 300, 'Positive', fontsize=12, color='black')\n",
    "    \n",
    "    ax.set_title(f\"Distribution of Compound for {topic} Topic\")\n",
    "    ax.set_xlabel(\"compound\")\n",
    "\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/8q/bq8pw32x58s8y8_tnlr5dyvm0000gn/T/ipykernel_43335/3159375454.py:7: UserWarning: You have mixed positional and keyword arguments, some input may be discarded.\n",
      "  ax.legend(df['engage_binary'], labels=['with engagement', 'no engagement'])\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "compound_hist_binary_engage(df_abortion, \"Abortion\", 40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/8q/bq8pw32x58s8y8_tnlr5dyvm0000gn/T/ipykernel_43335/3159375454.py:7: UserWarning: You have mixed positional and keyword arguments, some input may be discarded.\n",
      "  ax.legend(df['engage_binary'], labels=['with engagement', 'no engagement'])\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "compound_hist_binary_engage(df_music, \"Music/Movie\", 40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/8q/bq8pw32x58s8y8_tnlr5dyvm0000gn/T/ipykernel_43335/3159375454.py:7: UserWarning: You have mixed positional and keyword arguments, some input may be discarded.\n",
      "  ax.legend(df['engage_binary'], labels=['with engagement', 'no engagement'])\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAigAAAHFCAYAAADYPwJEAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy88F64QAAAACXBIWXMAAA9hAAAPYQGoP6dpAABqhklEQVR4nO3deVhU1f8H8PewzADDIoswoIBEuIIb7lagiCtqWqFppmYuaSYuX82sxCxcvqVWpmY/BQu3/KrklokppomJW65ZGW4J4oJsIuv5/UFzcxhQBmfkgu/X89znuXPvuZ97ztxZPnPuvWcUQggBIiIiIhkxq+oKEBEREZXGBIWIiIhkhwkKERERyQ4TFCIiIpIdJihEREQkO0xQiIiISHaYoBAREZHsMEEhIiIi2WGCQkRERLLDBKUGiImJgUKhkCYrKytoNBp06tQJc+bMQVpamt42kZGRUCgUBu3n7t27iIyMREJCgkHblbWvevXqISwszKA4D7NmzRosWrSozHUKhQKRkZFG3Z+x/fjjj2jVqhXUajUUCgXi4uIeWP769et4++23ERAQAFtbW1hZWcHPzw8TJkzAH3/88XgqXYMY8p5499134eXlBQsLC9SqVeux1Es7WVpawsvLCyNHjkRqaqpJ9/0gw4YNQ7169aps//e7//l50GToZ9eDJCQkGD0m6bKo6gqQ8URHR6Nhw4YoKChAWloaDhw4gHnz5uHjjz/G+vXr0aVLF6ns66+/ju7duxsU/+7du5g1axYAIDg4uMLbVWZflbFmzRqcPn0aEREReusSExNRt25dk9ehsoQQCA8PR/369bFlyxao1Wo0aNCg3PKHDx9GWFgYhBB488030b59eyiVSpw/fx6xsbFo06YN0tPTH2MLnhzfffcdPvroI8yYMQM9evSASqV6LPvduXMnHBwckJ2djV27duGTTz7BwYMHceLECVhaWj6WOshVYmKizuPZs2dj79692LNnj87yxo0bG22fLVu2RGJiolFjki4mKDWIv78/WrVqJT1+4YUXMHHiRDzzzDPo378//vjjD7i5uQEA6tata/Iv7Lt378LGxuax7Oth2rVrV6X7f5hr167h9u3b6NevH0JCQh5YNjMzE3379oWVlRUOHjyo89wGBwdj9OjR+N///mfqKj+xTp8+DQB466234OrqapSY2vfKgwQGBsLFxQUA0KVLF9y8eRPR0dE4cOAAOnXqZJR6VFel39+1a9eGmZmZSd/39vb2sv9cqe54iqeG8/LywieffIKsrCx8+eWX0vKyurP37NmD4OBgODs7w9raGl5eXnjhhRdw9+5dXLx4EbVr1wYAzJo1S+oyHTZsmE68Y8eO4cUXX4SjoyN8fX3L3ZfW5s2b0bRpU1hZWeGpp57CZ599prNee/rq4sWLOstLd68GBwdj+/btuHTpkk6XrlZZp3hOnz6Nvn37wtHREVZWVmjevDlWrVpV5n7Wrl2LGTNmwMPDA/b29ujSpQvOnz9f/hN/nwMHDiAkJAR2dnawsbFBhw4dsH37dml9ZGSklGRMmzYNCoXigV3nX331FVJTUzF//vxyE78XX3xR5/GWLVvQvn172NjYwM7ODqGhoXq/OrXH6eTJk3jppZfg4OAAJycnTJo0CYWFhTh//jy6d+8OOzs71KtXD/Pnzy/zuYqNjcWkSZOg0WhgbW2NoKAgHD9+XK+OFalTeacRynpNKRQKvPnmm/jmm2/QqFEj2NjYoFmzZti2bZve9tu3b0fz5s2hUqng4+ODjz/+uMznsbR69erh3XffBQC4ubnpvK6Ki4sxf/58NGzYECqVCq6urnj11Vdx9epVnRjBwcHw9/fHTz/9hA4dOsDGxgavvfZahfZ/P+2PkevXr0vLbty4gbFjx6Jx48awtbWFq6srOnfujP379+tse/HiRSgUCnz88cdYsGABfHx8YGtri/bt2+PQoUN6+4qJiUGDBg2gUqnQqFEjfP3112XW6fbt2xg7dizq1KkDpVKJp556CjNmzEBeXp5OOe2xio6ORoMGDWBtbY1WrVrh0KFDEELgv//9r1Snzp07488//zT4+XnUun355ZeoX78+VCoVGjdujHXr1umUK+8Uzy+//ILevXvD2dkZVlZW8PX1LbNXlypAULUXHR0tAIikpKQy12dnZwtzc3MREhIiLZs5c6a4//AnJycLKysrERoaKuLi4kRCQoJYvXq1GDJkiEhPTxf37t0TO3fuFADEiBEjRGJiokhMTBR//vmnTjxvb28xbdo0ER8fL+Li4srclxBCeHt7izp16ggvLy+xcuVKsWPHDjF48GABQPz3v//Va1tycrLO9nv37hUAxN69e4UQQpw5c0Z07NhRaDQaqW6JiYlSeQBi5syZ0uPffvtN2NnZCV9fX/H111+L7du3i5dfflkAEPPmzdPbT7169cTgwYPF9u3bxdq1a4WXl5fw8/MThYWFDzw2CQkJwtLSUgQGBor169eLuLg40bVrV6FQKMS6deuEEEJcuXJFbNq0SQAQ48ePF4mJieLYsWPlxuzataswNzcX2dnZD9y31urVqwUA0bVrVxEXFyfWr18vAgMDhVKpFPv375fKaY9TgwYNxOzZs0V8fLyYOnWqACDefPNN0bBhQ/HZZ5+J+Ph4MXz4cAFAbNy4Ue+58vT0FH379hVbt24VsbGx4umnnxb29vbiwoULBtdp6NChwtvbW69NZb2mtMepTZs24ttvvxU7duwQwcHBwsLCQmffu3fvFubm5uKZZ54RmzZtEhs2bBCtW7cWXl5eejFLO3bsmBgxYoQAIHbu3CkSExPFlStXhBBCjBo1Snqudu7cKZYtWyZq164tPD09xY0bN6QYQUFBwsnJSXh6eorPP/9c7N27V+zbt6/cfWrben8MIYSYMmWKACCOHj0qLfvtt9/EG2+8IdatWycSEhLEtm3bxIgRI4SZmZn0XhGi5P2ufb66d+8u4uLiRFxcnAgICBCOjo7izp07Ulnte7D0MfX09NQ5Nrm5uaJp06ZCrVaLjz/+WOzatUu89957wsLCQvTs2VPvWHl7e4sOHTqITZs2ic2bN4v69esLJycnMXHiRNG3b1+xbds2sXr1auHm5iaaNm0qiouLH3hs7jd06FChVqsrXTdPT0/RuHFjsXbtWrFlyxbRvXt3AUBs2LBBKlf6M0gIIXbu3CksLS1F06ZNRUxMjNizZ49YuXKlGDhwYIXrTv9iglIDPCxBEUIINzc30ahRI+lx6Q/4//3vfwKAOHHiRLkxbty4ofdFXzre+++/X+66+3l7ewuFQqG3v9DQUGFvby9ycnJ02vawBEUIIXr16lXml5kQ+gnKwIEDhUqlEpcvX9Yp16NHD2FjYyN9QGv3U/pD7NtvvxUAdJKgsrRr1064urqKrKwsaVlhYaHw9/cXdevWlT50tV8Y9ydn5WnYsKHQaDQPLSeEEEVFRcLDw0MEBASIoqIiaXlWVpZwdXUVHTp0kJZpj9Mnn3yiE6N58+YCgNi0aZO0rKCgQNSuXVv0799fWqZ9rlq2bKnzZXLx4kVhaWkpXn/9dYPrZGiC4ubmJjIzM6VlqampwszMTMyZM0da1rZtW+Hh4SFyc3OlZZmZmcLJyemhCcr9+74/YTh37pwAIMaOHatT9pdffhEAxDvvvCMtCwoKEgDEjz/++NB93b+/1NRUUVBQINLT08W3334r1Gq1ePnllx+4bWFhoSgoKBAhISGiX79+0nLt6y0gIEAnyT58+LAAINauXSuE+PdYlXdM7z82y5YtEwDEt99+q1OHefPmCQBi165d0jIAQqPR6CTZcXFxAoBo3ry5zr4WLVokAIiTJ09W6PkSQj9BMbRu1tbWIjU1VVpWWFgoGjZsKJ5++mlpWVmfQb6+vsLX11fntUWVx1M8TwghxAPXN2/eHEqlEqNGjcKqVavw119/VWo/L7zwQoXLNmnSBM2aNdNZNmjQIGRmZuLYsWOV2n9F7dmzByEhIfD09NRZPmzYMNy9e1fvVEOfPn10Hjdt2hQAcOnSpXL3kZOTg19++QUvvvgibG1tpeXm5uYYMmQIrl69WuHTRJV1/vx5XLt2DUOGDIGZ2b9vd1tbW7zwwgs4dOgQ7t69q7NN6burGjVqBIVCgR49ekjLLCws8PTTT5fZ/kGDBumcfvH29kaHDh2wd+/eStepojp16gQ7OzvpsZubG1xdXaV65uTkICkpCf3794eVlZVUzs7ODr17967UPgFIbdOe8tRq06YNGjVqhB9//FFnuaOjIzp37mzQPjQaDSwtLeHo6Ijw8HAEBgbqnZIEgGXLlqFly5awsrKChYUFLC0t8eOPP+LcuXN6ZXv16gVzc3PpcenXtfZYlXdM77dnzx6o1Wq904va56T0c9CpUyeo1WrpcaNGjQAAPXr00NmXdvmD3msPY2jdQkJCpOv1gJL37IABA/Dnn3/qnbLT+v3333HhwgWMGDFC57VFlccE5QmQk5ODW7duwcPDo9wyvr6+2L17N1xdXTFu3Dj4+vrC19cXn376qUH7cnd3r3BZjUZT7rJbt24ZtF9D3bp1q8y6ap+j0vt3dnbWeay9cyM3N7fcfaSnp0MIYdB+KsLLyws3btxATk7OQ8tq45dXh+LiYr27fZycnHQeK5VK2NjY6H3oKpVK3Lt3Ty9uecdVW5fK1KmiSh8noORYaY9Teno6iouLH/jaq4yHtan0cTbkfaK1e/duJCUl4YcffsALL7yAn376CePHj9cps2DBArzxxhto27YtNm7ciEOHDiEpKQndu3cv87X6sNe1tt4Veb5u3boFjUajd22Qq6srLCws9J6Dsl5nD1pe1mutogytW2U+m27cuAEAVX5DQE3CBOUJsH37dhQVFT301uBnn30WW7duRUZGBg4dOoT27dsjIiJC7+KwBzFkbJWyxnDQLtN+cGq/FEtfyHbz5s0K76cszs7OSElJ0Vt+7do1AJDulngUjo6OMDMzM/p+unXrhqKiImzduvWhZbXPY3l1MDMzg6Ojo8F1eJDyjqu2LobUycrKSu/YA5U//o6OjlAoFA987VXGw9pU+jgbOgYRADRr1gytWrVC165dsWHDBoSGhmL58uVISkqSysTGxiI4OBhLly5Fr1690LZtW7Rq1QpZWVkG7w/4t10Veb6cnZ1x/fp1vd7atLQ0FBYWGuU9VVmG1q0in02laW8iKK+HhQzHBKWGu3z5MqZMmQIHBweMHj26QtuYm5ujbdu2+OKLLwBAOt1SkV4DQ5w5cwa//vqrzrI1a9bAzs4OLVu2BADpDo6TJ0/qlNuyZYtevPt/KT9MSEgI9uzZIyUKWl9//TVsbGyMcvugWq1G27ZtsWnTJp16FRcXIzY2FnXr1kX9+vUNjjtixAhoNBpMnToVf//9d5llNm3aBABo0KAB6tSpgzVr1uh8OOfk5GDjxo3SXTTGtHbtWp19Xbp0CQcPHpQSZEPqVK9ePaSlpencqZKfn48ffvihUnVTq9Vo06YNNm3apPOLPCsrq0IJX3m0p2tiY2N1liclJeHcuXMPvXXcUAqFAl988QXMzc2lu4q0y0uPy3Ly5Em9U5YV1aBBA7i7u5d7TO8XEhKC7OxsvQEGtXf8GPs5MIShdfvxxx91XnNFRUVYv349fH19y+0hqV+/Pnx9fbFy5coyk2oyHMdBqUFOnz6NwsJCFBYWIi0tDfv370d0dDTMzc2xefNmKcMvy7Jly7Bnzx706tULXl5euHfvHlauXAkA0gBvdnZ28Pb2xnfffYeQkBA4OTnBxcWl0qNJenh4oE+fPoiMjIS7uztiY2MRHx+PefPmSV9QrVu3RoMGDTBlyhQUFhbC0dERmzdvxoEDB/TiBQQEYNOmTVi6dCkCAwNhZmamMy7M/WbOnIlt27ahU6dOeP/99+Hk5ITVq1dj+/btmD9/PhwcHCrVptLmzJmD0NBQdOrUCVOmTIFSqcSSJUtw+vRprF27tlK/pB0cHPDdd98hLCwMLVq00Bmo7Y8//kBsbCx+/fVX9O/fH2ZmZpg/fz4GDx6MsLAwjB49Gnl5efjvf/+LO3fuYO7cuUZp5/3S0tLQr18/jBw5EhkZGZg5cyasrKwwffp0ADCoTgMGDMD777+PgQMH4j//+Q/u3buHzz77DEVFRZWu3+zZs9G9e3eEhoZi8uTJKCoqwrx586BWq3H79u1KxWzQoAFGjRqFzz//HGZmZujRowcuXryI9957D56enpg4cWKl61sePz8/jBo1CkuWLMGBAwfwzDPPICwsDLNnz8bMmTMRFBSE8+fP44MPPoCPjw8KCwsN3oeZmRlmz56N119/XTqmd+7cQWRkpN5pkFdffRVffPEFhg4diosXLyIgIAAHDhxAVFQUevbsqTNQ5ONmaN1cXFzQuXNnvPfee1Cr1ViyZAl+++23h/Ymf/HFF+jduzfatWuHiRMnwsvLC5cvX8YPP/yA1atXm7KJNVPVXZ9LxqK900U7KZVK4erqKoKCgkRUVJRIS0vT26b0XRCJiYmiX79+wtvbW6hUKuHs7CyCgoLEli1bdLbbvXu3aNGihVCpVAKAGDp0qE680rdClrUvIUru4unVq5f43//+J5o0aSKUSqWoV6+eWLBggd72v//+u+jatauwt7cXtWvXFuPHjxfbt2/Xu4L+9u3b4sUXXxS1atUSCoVCZ58o4+6jU6dOid69ewsHBwehVCpFs2bNRHR0tE4Z7ZX6999eKMS/d0GULl+W/fv3i86dOwu1Wi2sra1Fu3btxNatW8uMV5G7eLRSU1PFtGnTRJMmTYSNjY1QqVTi6aefFqNHjxanTp3SKRsXFyfatm0rrKyshFqtFiEhIeLnn3/WKVPeMSx9R4RWUFCQaNKkifRY+1x988034q233hK1a9cWKpVKPPvss+LIkSN621ekTkIIsWPHDtG8eXNhbW0tnnrqKbF48eJy7+IZN26c3vbe3t7S61Rry5YtomnTpkKpVAovLy8xd+7cMmOWpbznqaioSMybN0/Ur19fWFpaChcXF/HKK69ItyGX97xVdn9CCHH9+nVha2srOnXqJIQQIi8vT0yZMkXUqVNHWFlZiZYtW4q4uDi9u6Ee9Hor673yf//3f8LPz08olUpRv359sXLlyjLvsLp165YYM2aMcHd3FxYWFsLb21tMnz5d3Lt3T28fpY9VeXUq7z34IGW9Zg2t25IlS4Svr6+wtLQUDRs2FKtXry6zXvd/BglR8lnao0cP4eDgIFQqlfD19RUTJ06scN3pXwohHnJ7BxFRBSQkJKBTp07YsGGD3t0SRNWFQqHAuHHjsHjx4qquyhOP16AQERGR7DBBISIiItnhKR4iIiKSHfagEBERkewwQSEiIiLZYYJCREREslMtB2orLi7GtWvXYGdnV6mBroiIiOjxE0IgKysLHh4eOn8WWpZqmaBcu3ZN719oiYiIqHq4cuXKQ/9YsVomKNq/U79y5Qrs7e2ruDZEVKacHED7D9rXrgFqdfWITUQmk5mZCU9PT+l7/EGqZYKiPa1jb2/PBIVIrszN/523tzduEmHK2ERkchW5PIMXyRIREZHsMEEhIiIi2amWp3iIqBqwsACGDv13vrrEJiJZqJZD3WdmZsLBwQEZGRm8BoWInihFRUUoKCio6moQlUupVJZ7C7Eh39/86UFEVA0IIZCamoo7d+5UdVWIHsjMzAw+Pj5QKpWPFIcJChGZhhDA3bsl8zY2gDEHVTRlbJnSJieurq6wsbHhIJUkS9qBVFNSUuDl5fVIr1MmKERkGnfvAra2JfPZ2ca9FdiUsWWoqKhISk6cnZ2rujpED1S7dm1cu3YNhYWFsLS0rHQc3sVDRCRz2mtObGxsqrgmRA+nPbVTVFT0SHGYoBARVRM8rUPVgbFep0xQiIiISHaYoBARkSzExMSgVq1aDy2nUCgQFxdn8vpQ1eJFskRE1djC+N8f274mhtY3afwBAwagZ8+e0uPIyEjExcXhxIkTJt0vGUahUGDz5s14/vnnTbofJihERCQL1tbWsLa2rupqkEzwFA8RmYa5OfDiiyXT/f8+LPfYZDRbt25FrVq1UFxcDAA4ceIEFAoF/vOf/0hlRo8ejZdffhmA7imemJgYzJo1C7/++isUCgUUCgViYmKk7W7evIl+/frBxsYGfn5+2LJlywPrkp+fj6lTp6JOnTpQq9Vo27YtEhISpPXaff/www9o1KgRbG1t0b17d6SkpEhlCgsL8dZbb6FWrVpwdnbGtGnTMHToUJ2ehJ07d+KZZ56RyoSFheHChQs6dTl48CCaN28OKysrtGrVCnFxcVAoFDo9RWfPnkXPnj1ha2sLNzc3DBkyBDdv3pTWBwcHY/z48YiIiICjoyPc3NywfPly5OTkYPjw4bCzs4Ovry++//57nX1XJO5bb72FqVOnwsnJCRqNBpGRkdL6evXqAQD69esHhUIhPTYFJihEZBpWVsCGDSWTlVX1iU1G89xzzyErKwvHjx8HAOzbtw8uLi7Yt2+fVCYhIQFBQUF62w4YMACTJ09GkyZNkJKSgpSUFAwYMEBaP2vWLISHh+PkyZPo2bMnBg8ejNu3b5dbl+HDh+Pnn3/GunXrcPLkSbz00kvo3r07/vjjD6nM3bt38fHHH+Obb77BTz/9hMuXL2PKlCnS+nnz5mH16tWIjo7Gzz//jMzMTL1rYXJycjBp0iQkJSXhxx9/hJmZGfr16yclaVlZWejduzcCAgJw7NgxzJ49G9OmTdOJkZKSgqCgIDRv3hxHjhzBzp07cf36dYSHh+uUW7VqFVxcXHD48GGMHz8eb7zxBl566SV06NABx44dQ7du3TBkyBDc/WdQQ0PiqtVq/PLLL5g/fz4++OADxMfHAwCSkpIAANHR0UhJSZEemwJP8RDRY2PI9RKmvt6BTM/BwQHNmzdHQkICAgMDkZCQgIkTJ2LWrFnIyspCTk4Ofv/9dwQHB+tta21tDVtbW1hYWECj0eitHzZsmNTzEhUVhc8//xyHDx9G9+7d9cpeuHABa9euxdWrV+Hh4QEAmDJlCnbu3Ino6GhERUUBKBlvZtmyZfD19QUAvPnmm/jggw+kOJ9//jmmT5+Ofv36AQAWL16MHTt26OzrhRde0Hm8YsUKuLq64uzZs/D398fq1auhUCjw1VdfwcrKCo0bN8bff/+NkSNHStssXboULVu2lOoFACtXroSnpyd+//131K9f8t5o1qwZ3n33XQDA9OnTMXfuXLi4uEix3n//fSxduhQnT55Eu3btKhy3adOmmDlzJgDAz88Pixcvxo8//ojQ0FDUrl0bAFCrVq0yj4sxGdSDUq9ePamr7f5p3LhxAEr+KyIyMhIeHh6wtrZGcHAwzpw5oxMjLy8P48ePh4uLC9RqNfr06YOrV68ar0VERCQbwcHBSEhIgBAC+/fvR9++feHv748DBw5g7969cHNzQ8OGDQ2O27RpU2lerVbDzs4OaWlpZZY9duwYhBCoX78+bG1tpWnfvn06p19sbGyk5AQA3N3dpZgZGRm4fv062rRpI603NzdHYGCgzr4uXLiAQYMG4amnnoK9vT18fHwAAJcvXwYAnD9/Hk2bNoXVfT1/98cEgKNHj2Lv3r06ddU+R/fX9/7nwNzcHM7OzggICJCWubm5AYDUhsrELf08PE4G9aAkJSXpjAx3+vRphIaG4qWXXgIAzJ8/HwsWLEBMTAzq16+PDz/8EKGhoTh//jzs7OwAABEREdi6dSvWrVsHZ2dnTJ48GWFhYTh69CjMeS6ZqObIyTHdcPSmjE1GFRwcjBUrVuDXX3+FmZkZGjdujKCgIOzbtw/p6ellnt6piNJDqCsUCuk0SmnFxcUwNzcv83vGVvs6KiemEEJv2f1Kr+/duzc8PT3x1VdfwcPDA8XFxfD390d+fr5U/mExiouL0bt3b8ybN0+vLe7u7g+s7/3LtPvRPi+PEre859aUDEpQtF07WnPnzoWvry+CgoIghMCiRYswY8YM9O/fH0DJeSw3NzesWbMGo0ePRkZGBlasWIFvvvkGXbp0AQDExsbC09MTu3fvRrdu3YzULCIikgPtdSiLFi1CUFAQFAoFgoKCMGfOHKSnp2PChAnlbqtUKh95uHQAaNGiBYqKipCWloZnn322UjEcHBzg5uaGw4cPSzGKiopw/PhxNG/eHABw69YtnDt3Dl9++aVU5sCBAzpxGjZsiNWrVyMvLw8qlQoAcOTIEZ0yLVu2xMaNG1GvXj1YWBjvSgxjxbW0tDTKcXmYSl8km5+fj9jYWLz22mtQKBRITk5GamoqunbtKpVRqVQICgrCwYMHAZR0LxUUFOiU8fDwgL+/v1SGiIhqDu11KLGxsdK1Js899xyOHTtW7vUnWvXq1UNycjJOnDiBmzdvIi8vr1J1qF+/PgYPHoxXX30VmzZtQnJyMpKSkjBv3jy9a0geZPz48ZgzZw6+++47nD9/HhMmTEB6errUU+Ho6AhnZ2csX74cf/75J/bs2YNJkybpxBg0aBCKi4sxatQonDt3Dj/88AM+/vhjAP/2eIwbNw63b9/Gyy+/jMOHD+Ovv/7Crl278Nprrz1SYmCsuPXq1cOPP/6I1NRUpKenV7o+D1PpBCUuLg537tzBsGHDAJT8FTjw7zkvLTc3N2ldamoqlEolHB0dyy1Tlry8PGRmZupMRERUPXTq1AlFRUVSMuLo6IjGjRujdu3aaNSoUbnbvfDCC+jevTs6deqE2rVrY+3atZWuQ3R0NF599VVMnjwZDRo0QJ8+ffDLL7/A09OzwjGmTZuGl19+Ga+++irat28PW1tbdOvWTbqexMzMDOvWrcPRo0fh7++PiRMn4r///a9ODHt7e2zduhUnTpxA8+bNMWPGDLz//vsAIMXx8PDAzz//jKKiInTr1g3+/v6YMGECHBwcYGZW+ZtvjRX3k08+QXx8PDw9PdGiRYtK1+dhFKL0ya8K6tatG5RKJbZu3Qqg5L7ujh074tq1azrnskaOHIkrV65g586dWLNmDYYPH66XBYeGhsLX1xfLli0rc1+RkZGYNWuW3vKMjAzY29tXpvpEZGplXCditLt4nrBrUO7du4fk5GT4+PjoXFxJVau4uBiNGjVCeHg4Zs+eXek4q1evxvDhw5GRkVEjBqp70Os1MzMTDg4OFfr+rlQqdunSJezevRuvv/66tEx7u1HpnpC0tDSpV0Wj0SA/P1+vS+j+MmWZPn06MjIypOnKlSuVqTYREVGlXbp0CV999RV+//13nDp1Cm+88QaSk5MxaNAgg+J8/fXXOHDgAJKTkxEXF4dp06YhPDy8RiQnxlSpBCU6Ohqurq7o1auXtMzHxwcajUYazAUouU5l37596NChAwAgMDAQlpaWOmVSUlJw+vRpqUxZVCoV7O3tdSYiIqLHyczMDDExMWjdujU6duyIU6dOYffu3Q88TVWW1NRUvPLKK2jUqBEmTpyIl156CcuXLzdRrasvgy/jLS4uRnR0NIYOHapzFbBCoUBERASioqLg5+cHPz8/REVFwcbGRsouHRwcMGLECEyePBnOzs5wcnLClClTEBAQIN3VQ0Q1hLk5oP3jN1MMdW+q2ETl8PT0xM8///zIcaZOnYqpU6caoUY1m8EJyu7du3H58mW89tpreuumTp2K3NxcjB07Funp6Wjbti127doljYECAAsXLoSFhQXCw8ORm5uLkJAQxMTEcAwUoprGygrYvr36xSYiWaj0RbJVyZCLbIhIPjjUfeXwIlmqTqr0IlkiIiIiU2KCQkSmkZNTcvuvWl0yX11iE5Es8N+Mich0/vmb92oXm4iqHHtQiIiISHaYoBAREZHs8BQPEVF1tnfO49tXp+mPb1/0WCQkJKBTp05IT09HrVq1qro6OtiDQkRERLLDBIWIiEwmODgYb731FqZOnQonJydoNBpERkbqlLl8+TL69u0LW1tb2NvbIzw8HNevX39g3L///hsDBgyAo6MjnJ2d0bdvX1y8eFFaP2zYMDz//PP4+OOP4e7uDmdnZ4wbNw4FBQVSmZSUFPTq1QvW1tbw8fHBmjVrUK9ePSxatEgqs2DBAgQEBECtVsPT0xNjx45Fdna2Tl2++uoreHp6wsbGBv369cOCBQv0eiO2bt2KwMBAWFlZ4amnnsKsWbNQWFgorVcoFPjyyy8RFhYGGxsbNGrUCImJifjzzz8RHBwMtVqN9u3b48KFCwbH/b//+z/069cPNjY28PPzw5YtWwAAFy9eRKdOnQCU/MO0QqHAsGHDHvi8P05MUIjINMzMgKCgkukR/iL+sccmo1u1ahXUajV++eUXzJ8/Hx988IH0n2xCCDz//PO4ffs29u3bh/j4eFy4cAEDBgwoN97du3fRqVMn2Nra4qeffsKBAwdga2uL7t27Iz8/Xyq3d+9eXLhwAXv37sWqVasQExODmJgYaf2rr76Ka9euISEhARs3bsTy5cuRlpamsy8zMzN89tlnOH36NFatWoU9e/boDFP/888/Y8yYMZgwYQJOnDiB0NBQfPTRRzoxfvjhB7zyyit46623cPbsWXz55ZeIiYnRKzd79my8+uqrOHHiBBo2bIhBgwZh9OjRmD59Oo4cOQIAePPNNw2OO2vWLISHh+PkyZPo2bMnBg8ejNu3b8PT0xMbN24EAJw/fx4pKSn49NNPy33eHzeOJEtEjw1Hkq2cB44kK/NrUIKDg1FUVIT9+/dLy9q0aYPOnTtj7ty5iI+PR48ePZCcnAxPT08AwNmzZ9GkSRMcPnwYrVu31ou5cuVKzJ8/H+fOnYNCoQBQ8ue0tWrVQlxcHLp27Yphw4YhISEBFy5ckP5KJTw8HGZmZli3bh1+++03NGrUCElJSWjVqhUA4M8//4Sfnx8WLlyIiIiIMtuzYcMGvPHGG7h58yYAYODAgcjOzsa2bdukMq+88gq2bduGO3fuAACee+459OjRA9On//v8xcbGYurUqbh27RqAkp6Od999F7NnzwYAHDp0CO3bt8eKFSukv5ZZt24dhg8fjtzc3ErHzcnJgZ2dHXbs2IHu3bub5BoUY40ky4tkiYjIpJo2barz2N3dXeqpOHfuHDw9PaXkBAAaN26MWrVq4dy5c2UmKEePHsWff/6p8z9vQMkX4/2nQJo0aaLzP2/u7u44deoUgJIeAwsLC7Rs2VJa//TTT8PR0VEn5t69exEVFYWzZ88iMzMThYWFuHfvHnJycqBWq3H+/Hn069dPZ5s2bdroJCxHjx5FUlKSTs9GUVER7t27h7t378LGxkbveXJzcwMABAQE6Cy7d+8eMjMzYW9vX6m4arUadnZ2ej1FcsQEhYiITMrS0lLnsUKhQHFxMYCSUzzaXpD7lbccAIqLixEYGIjVq1frratdu3aF91uW+5dfunQJPXv2xJgxYzB79mw4OTnhwIEDGDFihHQtS1n1LB27uLgYs2bNQv/+/fX2d38Pw/311cYsa5m2DZWJq42jjSFnTFCIyDRycoB69UrmL14sGZa+OsSmx6px48a4fPkyrly5onOKJyMjA40aNSpzm5YtW2L9+vVwdXWt9Gn+hg0borCwEMePH0dgYCCAklM82tMyAHDkyBEUFhbik08+gdk/1zp9++23enEOHz6ss0x7vcj99T1//jyefvrpStW1PMaIq1QqAZT0vMgNry4jItO5ebNkqm6x6bHp0qULmjZtisGDB+PYsWM4fPgwXn31VQQFBUnXhpQ2ePBguLi4oG/fvti/fz+Sk5Oxb98+TJgwAVevXq3Qfhs2bIguXbpg1KhROHz4MI4fP45Ro0bB2tpa6qnw9fVFYWEhPv/8c/z111/45ptvsGzZMp0448ePx44dO7BgwQL88ccf+PLLL/H999/r9Kq8//77+PrrrxEZGYkzZ87g3LlzWL9+Pd59991KPmvGi+vt7Q2FQoFt27bhxo0bencoVSUmKEREVGUUCgXi4uLg6OiI5557Dl26dMFTTz2F9evXl7uNjY0NfvrpJ3h5eaF///5o1KgRXnvtNeTm5hrUo/L111/Dzc0Nzz33HPr164eRI0fCzs5OOj3SvHlzLFiwAPPmzYO/vz9Wr16NOXN0L0ru2LEjli1bhgULFqBZs2bYuXMnJk6cqHOKpVu3bti2bRvi4+PRunVrtGvXDgsWLIC3t7eBz5YuY8StU6cOZs2ahbfffhtubm46dwlVNd7FQ0SmkZMD2NqWzGdnA2q18e7iKSN2TfbAu3jIaK5evQpPT0/s3r0bISEhlY4zcuRI/Pbbbzp3Lj1JeBcPERHRI9izZw+ys7MREBCAlJQUTJ06FfXq1cNzzz1nUJyPP/4YoaGhUKvV+P7777Fq1SosWbLERLV+cjBBISKiJ1JBQQHeeecd/PXXX7Czs0OHDh2wevVqvbteHubw4cOYP38+srKy8NRTT+Gzzz7D66+/bqJaPzmYoBAR0ROpW7du6Nat2yPHKX1nDxkHExQiMg0zM0B7F4Yphro3VWwikgUmKERkGtbWQFJS9YstY9XwngZ6AhnrdcqfHkREMqe9JuLu3btVXBOih9P+YeP9fzNQGexBISKSOXNzc9SqVUv6/xQbG5tyh4EnqkrFxcW4ceMGbGxsYGHxaCkGExQiMo27d4HGjUvmz54F/vnjMtnHlimNRgMA1eJP3ujJZmZmBi8vr0dOopmgEJFpCAFcuvTvfHWJLVMKhQLu7u5wdXWV/qiOSI6USqX030WPggkKEVE1Ym5u/sjn9omqA14kS0RERLLDBIWIiIhkhwkKERERyQ4TFCIiIpIdXiRLRKahUPx7K7Cxx+wwZWwikgUmKERkGjY2wJkz1S82EckCT/EQERGR7DBBISIiItlhgkJEpnH3LtCkSclk7D+5M2VsIpIFXoNCRKYhRMn/5Gjnq0tsIpIF9qAQERGR7DBBISIiItlhgkJERESyY3CC8vfff+OVV16Bs7MzbGxs0Lx5cxw9elRaL4RAZGQkPDw8YG1tjeDgYJwpNV5BXl4exo8fDxcXF6jVavTp0wdXr1599NYQERFRjWBQgpKeno6OHTvC0tIS33//Pc6ePYtPPvkEtWrVksrMnz8fCxYswOLFi5GUlASNRoPQ0FBkZWVJZSIiIrB582asW7cOBw4cQHZ2NsLCwlBUVGS0hhEREVH1ZdBdPPPmzYOnpyeio6OlZfXq1ZPmhRBYtGgRZsyYgf79+wMAVq1aBTc3N6xZswajR49GRkYGVqxYgW+++QZdunQBAMTGxsLT0xO7d+9Gt27djNAsIqpyCgXg7f3vfHWJTUSyYFAPypYtW9CqVSu89NJLcHV1RYsWLfDVV19J65OTk5GamoquXbtKy1QqFYKCgnDw4EEAwNGjR1FQUKBTxsPDA/7+/lKZ0vLy8pCZmakzEZHM2dgAFy+WTDY21Sc2EcmCQQnKX3/9haVLl8LPzw8//PADxowZg7feegtff/01ACA1NRUA4ObmprOdm5ubtC41NRVKpRKOjo7lliltzpw5cHBwkCZPT09Dqk1ERETVjEEJSnFxMVq2bImoqCi0aNECo0ePxsiRI7F06VKdcopSXa5CCL1lpT2ozPTp05GRkSFNV65cMaTaREREVM0YlKC4u7ujsfYvzv/RqFEjXL58GQCg0WgAQK8nJC0tTepV0Wg0yM/PR3p6erllSlOpVLC3t9eZiEjmcnOB1q1Lptzc6hObiGTBoASlY8eOOH/+vM6y33//Hd7/XKzm4+MDjUaD+Ph4aX1+fj727duHDh06AAACAwNhaWmpUyYlJQWnT5+WyhBRDVBcDBw5UjIVF1ef2EQkCwbdxTNx4kR06NABUVFRCA8Px+HDh7F8+XIsX74cQMmpnYiICERFRcHPzw9+fn6IioqCjY0NBg0aBABwcHDAiBEjMHnyZDg7O8PJyQlTpkxBQECAdFcPERERPdkMSlBat26NzZs3Y/r06fjggw/g4+ODRYsWYfDgwVKZqVOnIjc3F2PHjkV6ejratm2LXbt2wc7OTiqzcOFCWFhYIDw8HLm5uQgJCUFMTAzMzc2N1zIiIiKqthRCVL+/As3MzISDgwMyMjJ4PQqRXOXkALa2JfPZ2YBajYXxv1d484mh9Q2KTUTyZ8j3N/+Lh4iIiGSHCQoRERHJjkHXoBARGcTFpXrGJqIqxwSFiExDrQZu3Kh+sYlIFniKh4iIiGSHCQoRERHJDhMUIjKN3FwgOLhkMsVQ96aKTUSywGtQiMg0iouBffv+na8usYlIFtiDQkRERLLDBIWIiIhkhwkKERERyQ4TFCIiIpIdJihEREQkO7yLh4hMx8amesYmoirHBIWITEOtBnJyql9sIpIFnuIhIiIi2WGCQkRERLLDBIWITOPePaBXr5Lp3r3qE5uIZIHXoBCRaRQVATt2/DtfXWITkSywB4WIiIhkhwkKERERyQ4TFCIiIpIdJihEREQkO0xQiIiISHaYoBAREZHs8DZjIjINtRoQovrFJiJZYA8KERERyQ4TFCIiIpIdJihEZBr37gEvvVQymWKoe1PFJiJZYIJCRKZRVAT8738lkymGujdVbCKSBSYoREREJDtMUIiIiEh2mKAQERGR7DBBISIiItlhgkJERESywwSFiIiIZIdD3RORadjYANnZ/85Xl9hEJAtMUIjINBSKkv/MqW6xiUgWDDrFExkZCYVCoTNpNBppvRACkZGR8PDwgLW1NYKDg3HmzBmdGHl5eRg/fjxcXFygVqvRp08fXL161TitISIiohrB4GtQmjRpgpSUFGk6deqUtG7+/PlYsGABFi9ejKSkJGg0GoSGhiIrK0sqExERgc2bN2PdunU4cOAAsrOzERYWhiKOBklUs+TlAcOGlUx5edUnNhHJgsEJioWFBTQajTTVrl0bQEnvyaJFizBjxgz0798f/v7+WLVqFe7evYs1a9YAADIyMrBixQp88skn6NKlC1q0aIHY2FicOnUKu3fvNm7LiKhqFRYCq1aVTIWF1Sc2EcmCwQnKH3/8AQ8PD/j4+GDgwIH466+/AADJyclITU1F165dpbIqlQpBQUE4ePAgAODo0aMoKCjQKePh4QF/f3+pDBEREZFBF8m2bdsWX3/9NerXr4/r16/jww8/RIcOHXDmzBmkpqYCANzc3HS2cXNzw6VLlwAAqampUCqVcHR01Cuj3b4seXl5yLuvGzczM9OQahMREVE1Y1CC0qNHD2k+ICAA7du3h6+vL1atWoV27doBABQKhc42Qgi9ZaU9rMycOXMwa9YsQ6pKRERE1dgjDdSmVqsREBCAP/74Q7qbp3RPSFpamtSrotFokJ+fj/T09HLLlGX69OnIyMiQpitXrjxKtYmIiEjmHilBycvLw7lz5+Du7g4fHx9oNBrEx8dL6/Pz87Fv3z506NABABAYGAhLS0udMikpKTh9+rRUpiwqlQr29vY6ExEREdVcBp3imTJlCnr37g0vLy+kpaXhww8/RGZmJoYOHQqFQoGIiAhERUXBz88Pfn5+iIqKgo2NDQYNGgQAcHBwwIgRIzB58mQ4OzvDyckJU6ZMQUBAALp06WKSBhIREVH1Y1CCcvXqVbz88su4efMmateujXbt2uHQoUPw9vYGAEydOhW5ubkYO3Ys0tPT0bZtW+zatQt2dnZSjIULF8LCwgLh4eHIzc1FSEgIYmJiYG5ubtyWEVHVsrEB0tL+na8usYlIFhRCCFHVlTBUZmYmHBwckJGRwdM9RNXIwvjfK1x2Ymh9E9aEiKqCId/f/DdjIiIikh0mKERkGnl5wLhxJZMphro3VWwikgUmKERkGoWFwJIlJZMphro3VWwikgUmKERERCQ7TFCIiIhIdpigEBERkewwQSEiIiLZYYJCREREssMEhYiIiGTHoKHuiYgqzNoaSE7+d766xCYiWWCCQkSmYWYG1KtX/WITkSzwFA8RERHJDhMUIjKN/HzgP/8pmfLzq09sIpIFJihEZBoFBcDHH5dMBQXVJzYRyQITFCIiIpIdJihEREQkO0xQiIiISHaYoBAREZHsMEEhIiIi2WGCQkRERLLDkWSJyDSsrYHTp/+dry6xiUgWmKAQkWmYmQFNmlS/2EQkCzzFQ0RERLLDHhQiMo38fCAqqmT+nXcApbJ6xCYiWVAIIURVV8JQmZmZcHBwQEZGBuzt7au6OkRUlpwcwNa2ZD47G1CrsTD+9wpvPjG0vkGxiUj+DPn+5ikeIiIikh0mKERERCQ7TFCIiIhIdpigEBERkewwQSEiIiLZYYJCREREssNxUIjINKysgMOH/52vLrGJSBaYoBCRaZibA61bV7/YRCQLPMVDREREssMeFCIyjfx84NNPS+YnTDD+UPemik1EssAEhYhMo6AAmDq1ZH7sWOMmEaaMTUSywFM8REREJDvsQSEi09v3MWCtRLvLtx5a9JDXqMdQISKSO/agEBERkew8UoIyZ84cKBQKRERESMuEEIiMjISHhwesra0RHByMM2fO6GyXl5eH8ePHw8XFBWq1Gn369MHVq1cfpSpERERUg1Q6QUlKSsLy5cvRtGlTneXz58/HggULsHjxYiQlJUGj0SA0NBRZWVlSmYiICGzevBnr1q3DgQMHkJ2djbCwMBQVFVW+JURERFRjVCpByc7OxuDBg/HVV1/B0dFRWi6EwKJFizBjxgz0798f/v7+WLVqFe7evYs1a9YAADIyMrBixQp88skn6NKlC1q0aIHY2FicOnUKu3fvNk6riIiIqFqrVIIybtw49OrVC126dNFZnpycjNTUVHTt2lVaplKpEBQUhIMHDwIAjh49ioKCAp0yHh4e8Pf3l8qUlpeXh8zMTJ2JiGTOygrYu7dkUhr5evz7Y3Ooe6IayeBPjXXr1uHYsWNISkrSW5eamgoAcHNz01nu5uaGS5cuSWWUSqVOz4u2jHb70ubMmYNZs2YZWlUiqkrm5kBwcMn83kTTxSaiGsmgHpQrV65gwoQJiI2NhdUDfrUoFAqdx0IIvWWlPajM9OnTkZGRIU1XrlwxpNpERERUzRjUg3L06FGkpaUhMDBQWlZUVISffvoJixcvxvnz5wGU9JK4u7tLZdLS0qReFY1Gg/z8fKSnp+v0oqSlpaFDhw5l7lelUkGlUhlSVSKqagUFwPLlJfP1iwALc9PEHjUKsLQ0XmwikgWDelBCQkJw6tQpnDhxQppatWqFwYMH48SJE3jqqaeg0WgQHx8vbZOfn499+/ZJyUdgYCAsLS11yqSkpOD06dPlJihEVA3l5wNvvlkyFRj5Dr37Y+fnGzc2EcmCQT0odnZ28Pf311mmVqvh7OwsLY+IiEBUVBT8/Pzg5+eHqKgo2NjYYNCgQQAABwcHjBgxApMnT4azszOcnJwwZcoUBAQE6F10S0RERE8mow91P3XqVOTm5mLs2LFIT09H27ZtsWvXLtjZ2UllFi5cCAsLC4SHhyM3NxchISGIiYmBubkRu4CJiIio2lIIIURVV8JQmZmZcHBwQEZGBuzt7au6OkRUlpwcwNa2ZH57JGCtROJfFf8vnomh9SsWOzsbUKsfsbJE9DgY8v3N/+IhIiIi2WGCQkRERLLDBIWIiIhkx+gXyRIRAQBUKmDbtpJ55XHTxeYYSUQ1EhMUIjINCwugV6+S+b0nTRebiGoknuIhIiIi2WEPChGZRkEBsHp1yXwdEwx1r409eDCHuieqgZigEJFp5OcDw4eXzG+PNG6Ccn/sl15igkJUA/EUDxEREckOExQiIiKSHSYoREREJDtMUIiIiEh2mKAQERGR7DBBISIiItnhbcZEZBoqFfDttyXzyvOmi82h7olqJCYoRGQaFhYlY5QAwN45potNRDUST/EQERGR7LAHhYhMo7AQ2Ly5ZN6xCDA34kiy98fu16+kR4WIahS+q4nINPLygPDwkvntkYC1EROU+2NnZzNBIaqBeIqHiIiIZIcJChEREckOExQiIiKSHSYoREREJDtMUIiIiEh2mKAQERGR7PDePCIyDaUSiI4umbe8arrYSqVxYxORLDBBISLTsLQEhg0rmTf2UPf3xyaiGomneIiIiEh22INCRKZRWAj88EPJvMoEQ91rY3frxpFkiWogvquJyDTy8oCwsJJ5Uwx1r43Noe6JaiSe4iEiIiLZYYLyhImJiYFCoYCVlRUuXbqktz44OBj+/v5VUDN9UVFRiIuL01uekJAAhUKBhISEx14noppG+5mgnSwsLFC3bl0MHz4cf//9t9H3p1AoEBkZKT0+e/YsIiMjcfHiRb2yw4YNQ7169YxeB6oemKA8ofLy8vDuu+9WdTUeqLwEpWXLlkhMTETLli0ff6WIaqjo6GgkJiYiPj4eI0eOxNq1a/Hss88iJyfHqPtJTEzE66+/Lj0+e/YsZs2aVWaC8t5772Hz5s1G3T9VHzxx+4Tq3r071qxZgylTpqBZs2ZVXR2D2Nvbo127dlVdDaIaxd/fH61atQIAdOrUCUVFRZg9ezbi4uIwePBgo+3HkPeur6+v0fZL1Q97UJ5QU6dOhbOzM6ZNm/bAckIILFmyBM2bN4e1tTUcHR3x4osv4q+//tIrFxUVBW9vb1hZWaFVq1aIj49HcHAwgoODpXL37t3D5MmT0bx5czg4OMDJyQnt27fHd999pxNPoVAgJycHq1atkrqetXFKn+JZtGgRFAoF/vzzT736T5s2DUqlEjdv3pSW7d69GyEhIbC3t4eNjQ06duyIH3/80YBnj6jm0yYSly5dwr179zB9+nT4+PhAqVSiTp06GDduHO7cuaOzzZ49exAcHAxnZ2dYW1vDy8sLL7zwAu7evSuVuf8UT0xMDF566SUAJUmR9r0eExMDQP8UT4sWLfDss8/q1bWoqAh16tRB//79pWX5+fn48MMP0bBhQ6hUKtSuXRvDhw/HjRs3jPDs0OPABOUJZWdnh3fffRc//PAD9uzZU2650aNHIyIiAl26dEFcXByWLFmCM2fOoEOHDrh+/bpUbsaMGZgxYwa6d++O7777DmPGjMHrr7+O33//XSdeXl4ebt++jSlTpiAuLg5r167FM888g/79++Prr7+WyiUmJsLa2ho9e/ZEYmIiEhMTsWTJkjLr+Morr0CpVEofalpFRUWIjY1F79694eLiAgCIjY1F165dYW9vj1WrVuHbb7+Fk5MTunXrxiSF6D7ahL927dp4/vnn8fHHH2PIkCHYvn07Jk2ahFWrVqFz587Iy8sDAFy8eBG9evWCUqnEypUrsXPnTsydOxdqtRr5+fll7qNXr16IiooCAHzxxRfSe71Xr15llh8+fDgOHDiAP/74Q2f5rl27cO3aNQwfPhwAUFxcjL59+2Lu3LkYNGgQtm/fjrlz50o/mnJzc43yHJGJiWooIyNDABAZGRlVXZVqJzo6WgAQSUlJIi8vTzz11FOiVatWori4WAghRFBQkGjSpIkQQojExEQBQHzyySc6Ma5cuSKsra3F1KlThRBC3L59W6hUKjFgwACdctrtg4KCyq1PYWGhKCgoECNGjBAtWrTQWadWq8XQoUP1ttm7d68AIPbu3Sst69+/v6hbt64oKiqSlu3YsUMAEFu3bhVCCJGTkyOcnJxE7969deIVFRWJZs2aiTZt2pRbT6qE/HwhFi8umXbNFmJPlDj4f5MfOi3YdV4s2HW+4rHz8x9Pe2oo7WfCoUOHREFBgcjKyhLbtm0TtWvXFnZ2dmLdunUCgJg/f77OduvXrxcAxPLly4UQQvzvf/8TAMSJEyceuD8AYubMmdLjDRs26L2ftYYOHSq8vb2lxzdv3hRKpVK88847OuXCw8OFm5ubKCgoEEIIsXbtWgFAbNy4UadcUlKSACCWLFnysKeFTMSQ72/2oDzBlEolPvzwQxw5cgTffvut3vpt27ZBoVDglVdeQWFhoTRpNBo0a9ZMOsVy6NAh5OXlITw8XGf7du3alXkF/oYNG9CxY0fY2trCwsIClpaWWLFiBc6dO1fptgwfPhxXr17F7t27pWXR0dHQaDTo0aMHAODgwYO4ffs2hg4dqtOe4uJidO/eHUlJSUa/IPCJZmkJjBtXMlkYcQyU0rEtLY0b+wnVrl07WFpaws7ODmFhYdBoNPj+++9x7NgxACWnW+730ksvQa1WSz2PzZs3h1KpxKhRo7Bq1Sq908DG4OzsjN69e2PVqlUoLi4GAKSnp+O7777Dq6++Cot/xsPZtm0batWqhd69e+u815s3bw6NRsM7AKsJgxKUpUuXomnTprC3t4e9vT3at2+P77//XlovhEBkZCQ8PDxgbW2N4OBgnDlzRidGXl4exo8fDxcXF6jVavTp0wdXrxr5j8SowgYOHIiWLVtixowZKCgo0Fl3/fp1CCHg5uYGS0tLnenQoUPSdR23bt0CALi5uenFL71s06ZNCA8PR506dRAbG4vExEQkJSXhtddew7179yrdjh49esDd3R3R//yBXHp6OrZs2YJXX30V5v+MYKo9JfXiiy/qtWfevHkQQuD27duVrgNRdfb1118jKSkJx48fx7Vr13Dy5El07NgRt27dgoWFBWrXrq1TXqFQQKPRSO9/X19f7N69G66urhg3bhx8fX3h6+uLTz/91Kj1fO211/D3338jPj4eALB27Vrk5eXpJFDXr1/HnTt3oFQq9d7rqampOtekkXwZdBdP3bp1MXfuXDz99NMAgFWrVqFv3744fvw4mjRpgvnz52PBggWIiYlB/fr18eGHHyI0NBTnz5+HnZ0dACAiIgJbt27FunXr4OzsjMmTJyMsLAxHjx6Vvkjo8VEoFJg3bx5CQ0OxfPlynXUuLi5QKBTYv38/VCqV3rbaZc7OzgCgc02KVmpqqk4vSmxsLHx8fLB+/XooFAppufY8dmWZm5tjyJAh+Oyzz3Dnzh2sWbMGeXl50jlpbXsA4PPPPy/3ToKykiyqpKIiYP/+f+aLAXMjdtjeH/vZZ407jP4TqlGjRtJdPPdzdnZGYWEhbty4oZOkCCGQmpqK1q1bS8ueffZZPPvssygqKsKRI0fw+eefIyIiAm5ubhg4cKBR6tmtWzd4eHggOjoa3bp1Q3R0NNq2bYvGjRtLZVxcXODs7IydO3eWGUP7fUTyZtAnRu/evdGzZ0/Ur18f9evXx0cffQRbW1scOnQIQggsWrQIM2bMQP/+/eHv749Vq1bh7t27WLNmDQAgIyMDK1aswCeffIIuXbqgRYsWiI2NxalTp3S65unx6tKlC0JDQ/HBBx8gOztbWh4WFgYhBP7++2+0atVKbwoICAAAtG3bFiqVCuvXr9eJe+jQIb3B4BQKBZRKpU5ykpqaqncXD1CSABlyMdvw4cNx7949rF27FjExMWjfvj0aNmwore/YsSNq1aqFs2fPltmeVq1aQalUVnh/9BD37gGdOpVM+YWmi/0IPW/0cCEhIQBKflzcb+PGjcjJyZHW38/c3Bxt27bFF198AQDSaaKyaH/oVPS9rv0xEhcXh/379+PIkSN47bXXdMqEhYXh1q1bKCoqKvN93qBBgwrti6pWpcdBKSoqwoYNG5CTk4P27dsjOTkZqamp6Nq1q1RGpVIhKCgIBw8exOjRo3H06FEUFBTolPHw8IC/vz8OHjyIbt26lbmvvLw8nV/YmZmZla02lWPevHkIDAxEWloamjRpAqDkC33UqFEYPnw4jhw5gueeew5qtRopKSk4cOAAAgIC8MYbb8DJyQmTJk3CnDlz4OjoiH79+uHq1auYNWsW3N3dYWb2bx4cFhaGTZs2YezYsXjxxRdx5coVzJ49G+7u7npX5gcEBCAhIQFbt26Fu7s77OzsHvjB0rBhQ7Rv3x5z5szBlStX9HqEbG1t8fnnn2Po0KG4ffs2XnzxRbi6uuLGjRv49ddfcePGDSxdutSIzypR9RcaGopu3bph2rRpyMzMRMeOHXHy5EnMnDkTLVq0wJAhQwAAy5Ytw549e9CrVy94eXnh3r17WLlyJYCSH0Hl0Y5cvXz5ctjZ2cHKygo+Pj5Sz2xZXnvtNcybNw+DBg2CtbU1BgwYoLN+4MCBWL16NXr27IkJEyagTZs2sLS0xNWrV7F371707dsX/fr1e9SnhkzM4D7XU6dOwdbWFiqVCmPGjMHmzZvRuHFjpKamAtDvIndzc5PWpaamQqlUwtHRsdwyZZkzZw4cHBykydPT09Bq00O0aNECL7/8st7yL7/8EosXL8ZPP/2EgQMHolevXnj//feRk5ODNm3aSOU++ugjfPjhh9i+fTv69OmDzz77DEuXLoWrqytq1aollRs+fDjmzp2L77//Hj179sS8efPw9ttvY9CgQXr7/vTTT+Hn54eBAweidevWGD169EPbMXz4cFy5cqXMDy2g5JbkvXv3Ijs7G6NHj0aXLl0wYcIEHDt2rMxfgkRPOoVCgbi4OEyaNAnR0dHo2bOndMvxnj17pB6Q5s2bo7CwEDNnzkSPHj0wZMgQ3LhxA1u2bNH5UVqaj48PFi1ahF9//RXBwcFo3bo1tm7d+sA61a9fHx06dMDVq1fRv39/ODg46Kw3NzfHli1b8M4772DTpk3o168fnn/+ecydOxdWVlZS7y/Jm0IIIQzZID8/H5cvX8adO3ewceNG/N///R/27duHO3fuoGPHjrh27Rrc3d2l8iNHjsSVK1ewc+dOrFmzBsOHD9e73iA0NBS+vr5YtmxZmfssqwfF09MTGRkZsLe3N6T69BglJyejYcOGmDlzJt55552qrg49bjk5gK1tyfz2SMBaicS/bj10s0NeowAAE0PrVyx2djagVj9iZYnoccjMzISDg0OFvr8NPsWjVCqli2RbtWqFpKQkfPrpp9KIpKmpqToJSlpamtSrotFokJ+fj/T0dJ1elLS0NHTo0KHcfapUqjIv0iT5+PXXX7F27Vp06NAB9vb2OH/+PObPnw97e3uMGDGiqqtHRETVzCNfVi+EQF5eHnx8fKDRaKRbv4CS3pZ9+/ZJyUdgYCAsLS11yqSkpOD06dMPTFBI/tRqNY4cOYIRI0YgNDQUM2bMQIsWLXDgwAHeGUNERAYzqAflnXfeQY8ePeDp6YmsrCysW7cOCQkJ2LlzJxQKBSIiIhAVFQU/Pz/4+fkhKioKNjY20vUFDg4OGDFiBCZPngxnZ2c4OTlhypQpCAgIeOBFVCR/Tz/9NO/EIiIiozEoQbl+/TqGDBmClJQUODg4oGnTpti5cydCQ0MBlPwBXW5uLsaOHYv09HS0bdsWu3bt0rnnfOHChbCwsEB4eDhyc3MREhKCmJgYjoFCVNNYWgLz55fMWxj5VuD7Y3MkWaIayeCLZOXAkItsiEgG9s4BAONdJEtE1ZIh39/8Lx4iIiKSnUoP1EZE9EBFRYB2BFFTDHWvjd2yJYe6J6qB2INCRKZx7x7Qpk3JZIqh7rWxOdQ9UY3EBIWIiIhkhwkKERERyQ4TFCIiIpIdJihEREQkO0xQiIiISHaYoBAREZHscBwUIjINS0tg5sySeQsj/xa6PzaHuieqkZigEJFpKJVAZGTJ/D9D3ZskNhHVSDzFQ0RERLLDHhQiMo3iYuDcuX/nzYz4e+j+2I0aGTc2EckC39VEZBq5uYC/f8mUZ+Sh7u+PnZtr3NhEJAtMUIiIiEh2mKAQERGR7DBBISIiItlhgkJERESywwSFiIiIZIcJChEREckOx0EhItOwtASmTCmZN8VQ99rYHOqeqEZigkJEpqFUAv/9b8m8KYa618YmohqJp3iIiIhIdtiDQkSmUVwMXL7877yxh7rXxvby4lD3RDUQ39VEZBq5uYCPT8lkiqHutbE51D1RjcQEhYiIiGSHCQoRERHJDhMUIiIikh0mKERERCQ7TFCIiIhIdpigEBERkexwHBQiMg0LC2Ds2JJ5cyP/Fro/tgU/xohqIr6zicg0VCrgiy9K5o091P39sYmoRuIpHiIiIpId9qAQkWkIAdy8+e+8QmGa2C4uxo1NRLLAHhQiMo27dwFX15LpXoHpYt+9a9zYRCQLTFCIiIhIdpigEBERkewwQSEiIiLZMShBmTNnDlq3bg07Ozu4urri+eefx/nz53XKCCEQGRkJDw8PWFtbIzg4GGfOnNEpk5eXh/Hjx8PFxQVqtRp9+vTB1atXH701REREVCMYlKDs27cP48aNw6FDhxAfH4/CwkJ07doVOTk5Upn58+djwYIFWLx4MZKSkqDRaBAaGoqsrCypTEREBDZv3ox169bhwIEDyM7ORlhYGIqKiozXMiIiIqq2DLrNeOfOnTqPo6Oj4erqiqNHj+K5556DEAKLFi3CjBkz0L9/fwDAqlWr4ObmhjVr1mD06NHIyMjAihUr8M0336BLly4AgNjYWHh6emL37t3o1q2bkZpGRERE1dUjXYOSkZEBAHBycgIAJCcnIzU1FV27dpXKqFQqBAUF4eDBgwCAo0ePoqCgQKeMh4cH/P39pTKl5eXlITMzU2ciIpmzsACGDi2ZTDHUvTY2h7onqpEq/c4WQmDSpEl45pln4O/vDwBITU0FALi5uemUdXNzw6VLl6QySqUSjo6OemW025c2Z84czJo1q7JVJaKqoFIBMTEl86YY6l4bm4hqpEr/rHnzzTdx8uRJrF27Vm+dotSojkIIvWWlPajM9OnTkZGRIU1XrlypbLWJiIioGqhUgjJ+/Hhs2bIFe/fuRd26daXlGo0GAPR6QtLS0qReFY1Gg/z8fKSnp5dbpjSVSgV7e3udiYhkTgggJ6dkEqL6xCYiWTAoQRFC4M0338SmTZuwZ88e+Pj46Kz38fGBRqNBfHy8tCw/Px/79u1Dhw4dAACBgYGwtLTUKZOSkoLTp09LZYioBrh7F7C1LZlMMdS9NjaHuieqkQy6BmXcuHFYs2YNvvvuO9jZ2Uk9JQ4ODrC2toZCoUBERASioqLg5+cHPz8/REVFwcbGBoMGDZLKjhgxApMnT4azszOcnJwwZcoUBAQESHf1EBER0ZPNoARl6dKlAIDg4GCd5dHR0Rg2bBgAYOrUqcjNzcXYsWORnp6Otm3bYteuXbCzs5PKL1y4EBYWFggPD0dubi5CQkIQExMDc3PzR2sNERER1QgKIarfCdzMzEw4ODggIyOD16MQyVVOTskpGADYHglYK5H4162HbnbIaxQAYGJo/YrFzs4G1OpHrCwRPQ6GfH/zv3iIiIhIdpigEBERkewwQSEiIiLZ4RjRRGQa5ubAiy/+M//ggRofLTYvrieqiZigEJFpWFkBGzaUzBt7qPv7YxNRjcRTPERERCQ7TFCIiIhIdpigEJFp5OQACkXJlJtvutg5OcaNTUSywASFiIiIZIcJChEREckOExQiIiKSHSYoREREJDtMUIiIiEh2mKAQERGR7HAkWSIyDXNzoGfPf+ZNMNS9FJtD3RPVRExQiMg0rKyA7dtL5k0x1L02NhHVSDzFQ0RERLLDBIWIiIhkhwkKEZlGTg6gVpdMphjqXhubQ90T1Ui8BoWITOfu3eoZm4iqHHtQiIiISHaYoBAREZHsMEEhIiIi2WGCQkRERLLDBIWIiIhkh3fxEJFpmJkBQUH/zBt5qHud2PydRVQTMUEhItOwtgYSEkrmjT3U/f2xiahG4k8PIiIikh0mKERERCQ7TFCIyDRycoDatUsmUwx1r43Noe6JaiReg0JEpnPzZvWMTURVjgkKEVENszD+9wqXnRha34Q1Iao8nuIhIiIi2WGCQkRERLLDBIWIiIhkhwkKERERyQ4vkiUi0zAzA1q1+mfeBEPdS7H5O6sm4IW9VBoTFCIyDWtrICmpZN4UQ91rY9MTx5BkxhBMfOTF4J8eP/30E3r37g0PDw8oFArExcXprBdCIDIyEh4eHrC2tkZwcDDOnDmjUyYvLw/jx4+Hi4sL1Go1+vTpg6tXrz5SQ4iIiKjmMDhBycnJQbNmzbB48eIy18+fPx8LFizA4sWLkZSUBI1Gg9DQUGRlZUllIiIisHnzZqxbtw4HDhxAdnY2wsLCUFRUVPmWEBERUY1h8CmeHj16oEePHmWuE0Jg0aJFmDFjBvr37w8AWLVqFdzc3LBmzRqMHj0aGRkZWLFiBb755ht06dIFABAbGwtPT0/s3r0b3bp1e4TmEJFs3L0LNG5cMr90OGClNE3ss2cBGxvjxSaqIFNdN8PrcUoY9eqy5ORkpKamomvXrtIylUqFoKAgHDx4EABw9OhRFBQU6JTx8PCAv7+/VKa0vLw8ZGZm6kxEJHNCAJculUzClLGNHZyI5MCoF8mmpqYCANzc3HSWu7m54dKlS1IZpVIJR0dHvTLa7UubM2cOZs2aZcyqEhER6TDVxbemjl1TmeQuHoVC95ZCIYTestIeVGb69OmYNGmS9DgzMxOenp6PXlEioicc74ghuTLqKR6NRgMAej0haWlpUq+KRqNBfn4+0tPTyy1Tmkqlgr29vc5ERERENZdRExQfHx9oNBrEx8dLy/Lz87Fv3z506NABABAYGAhLS0udMikpKTh9+rRUhoiIiJ5sBp/iyc7Oxp9//ik9Tk5OxokTJ+Dk5AQvLy9EREQgKioKfn5+8PPzQ1RUFGxsbDBo0CAAgIODA0aMGIHJkyfD2dkZTk5OmDJlCgICAqS7eoiIiOjJZnCCcuTIEXTq1El6rL02ZOjQoYiJicHUqVORm5uLsWPHIj09HW3btsWuXbtgZ2cnbbNw4UJYWFggPDwcubm5CAkJQUxMDMzNzY3QJCKSBYXi31uBjTzSvW5sYwcnIjlQCFH97tHLzMyEg4MDMjIyeD0KUXXwz1D3iX/demjRQ16jAPAiy0chhztGDD1+cqhzdVTd3ieGfH/zv3iIiGSOX970JOLfgBIREZHssAeFqhSHdK7B7t4FWrcumf843PhD3WtjJyVxqHuiGogJChGZhhAl/5MDmGaoeyl2tbuMjshoDD39V51+6PEUDxEREckOExQiIiKSHZ7iISIio+OdR/So2INCREREssMeFCKiJ1C7y8srXFY7eB7R48QEhchAvDW6ghQKwNv7n3lTxuZQ90Q1ERMUqpFq8q131YaNDXDxYsn8P0PdmyQ2EdVITFBqEP6yJyKimoIJCpEJMWkkIqocJihEZBq5ucBzz5XMz+4NqCxNE/unnwBra+PFfkx4G67heGHvk4UJClUb/ECvZoqLgSNH/pkPM2HsYuPGJiJZ4DgoREREJDvsQZExufQYPAnXUcjluSYiohLsQSEiIiLZYQ8KEVENYchFpERyxwTlCWWqUxo8VVL9PQmn9IgehanuJuJdSrqYoBDJRI0c/dbF5bHEZlJVfdX0Xp+a3j5TYoJCTzRDPzz4a8gAajVw40bJvLGHur8/tozU1B7E6vhaZmJQtuqUzDNBoSpTHT/0iIjo8WCC8piZ6hdWTT8nKpd6yEl1+iVUnRn7PWvKXjuimoQJChkNu1RJR24u0KNHyfzbnY0/1L029vffGy8uPTJ+DpCxMEEhegJUybURxcXAvn0l81M7mS62gUPd19TrRIhqGiYoRAbgr0NdD/qyt8i9i/H/zP9y8TaKjdmDQkQ1HkeSJSIiItlhDwrVOOzlqDw5XYxc0d6Zz3/8A7C2MWldiORGTu9VU2GCQiQDpkqqqusHE/2LCTc9qZigGAEvuiN6sjGJIDI+JiiPau8ctLt8q0JF5fJrlh+mT46qPtYFKutqGZuIqp5CCCGquhKGyszMhIODAzIyMmBvb2+SfVS0V6SqvwCIqoqpBvwzVR1MiZ8DVJNo31emGODRkO9v3sVDREREssNTPET0xHgS7nwgqimYoBCRSZjn5yHsg5KbgdOGN4ewNN7HjaKgEA2WbIGb9RFse/9zFClVRoutxdM2RFWLCQoRVcrDvsDN8grw1OGS4ehvDG0GY17spigWcDyVDEcko+2l/+MotUQ1EBOUshhwZw4REREZX5VeJLtkyRL4+PjAysoKgYGB2L9/f1VWh4iIiGSiyhKU9evXIyIiAjNmzMDx48fx7LPPokePHrh8+XJVVYmIiIhkosoSlAULFmDEiBF4/fXX0ahRIyxatAienp5YunRpVVWJiIiIZKJKEpT8/HwcPXoUXbt21VnetWtXHDx4sCqqRERERDJSJRfJ3rx5E0VFRXBzc9NZ7ubmhtTUVL3yeXl5yMvLkx5nZGQAKBmRziRy7iEnN+/h5YioXGZ5BdC+Q3Ny81BcXFwtYhM96e7lZAMwzXesNmZFBrGv0rt4FAqFzmMhhN4yAJgzZw5mzZqlt9zT09NkdSMiI5ryZfWMTfREWgwAeMeEe8jKyoKDg8MDy1RJguLi4gJzc3O93pK0tDS9XhUAmD59OiZNmiQ9Li4uxu3bt+Hs7FxmQmOIzMxMeHp64sqVKyb7X5+qxjbWDGxj9VfT2wewjTWFqdoohEBWVhY8PDweWrZKEhSlUonAwEDEx8ejX79+0vL4+Hj07dtXr7xKpYJKpTtSZK1atYxaJ3t7+xr7QtNiG2sGtrH6q+ntA9jGmsIUbXxYz4lWlZ3imTRpEoYMGYJWrVqhffv2WL58OS5fvowxY8ZUVZWIiIhIJqosQRkwYABu3bqFDz74ACkpKfD398eOHTvg7e1dVVUiIiIimajSi2THjh2LsWPHVmUVoFKpMHPmTL1TSDUJ21gzsI3VX01vH8A21hRyaKNCVOReHyIiIqLHqEr/i4eIiIioLExQiIiISHaYoBAREZHsMEEhIiIi2XkiEpSPPvoIHTp0gI2NTYUHeBNCIDIyEh4eHrC2tkZwcDDOnDmjUyYvLw/jx4+Hi4sL1Go1+vTpg6tXr5qgBQ+Wnp6OIUOGwMHBAQ4ODhgyZAju3LnzwG0UCkWZ03//+1+pTHBwsN76gQMHmrg1ZatMG4cNG6ZX/3bt2umUkcsxBAxvY0FBAaZNm4aAgACo1Wp4eHjg1VdfxbVr13TKVeVxXLJkCXx8fGBlZYXAwEDs37//geX37duHwMBAWFlZ4amnnsKyZcv0ymzcuBGNGzeGSqVC48aNsXnzZlNVv0IMaeOmTZsQGhqK2rVrw97eHu3bt8cPP/ygUyYmJqbM9+a9e/dM3ZRyGdLGhISEMuv/22+/6ZST03E0pH1lfa4oFAo0adJEKiO3Y/jTTz+hd+/e8PDwgEKhQFxc3EO3kcV7UTwB3n//fbFgwQIxadIk4eDgUKFt5s6dK+zs7MTGjRvFqVOnxIABA4S7u7vIzMyUyowZM0bUqVNHxMfHi2PHjolOnTqJZs2aicLCQhO1pGzdu3cX/v7+4uDBg+LgwYPC399fhIWFPXCblJQUnWnlypVCoVCICxcuSGWCgoLEyJEjdcrduXPH1M0pU2XaOHToUNG9e3ed+t+6dUunjFyOoRCGt/HOnTuiS5cuYv369eK3334TiYmJom3btiIwMFCnXFUdx3Xr1glLS0vx1VdfibNnz4oJEyYItVotLl26VGb5v/76S9jY2IgJEyaIs2fPiq+++kpYWlqK//3vf1KZgwcPCnNzcxEVFSXOnTsnoqKihIWFhTh06JDJ21MWQ9s4YcIEMW/ePHH48GHx+++/i+nTpwtLS0tx7NgxqUx0dLSwt7fXe49WFUPbuHfvXgFAnD9/Xqf+97+n5HQcDW3fnTt3dNp15coV4eTkJGbOnCmVkdsx3LFjh5gxY4bYuHGjACA2b978wPJyeS8+EQmKVnR0dIUSlOLiYqHRaMTcuXOlZffu3RMODg5i2bJlQoiSF6mlpaVYt26dVObvv/8WZmZmYufOnUave3nOnj0rAOi8KBITEwUA8dtvv1U4Tt++fUXnzp11lgUFBYkJEyYYq6qVVtk2Dh06VPTt27fc9XI5hkIY7zgePnxYAND5cK2q49imTRsxZswYnWUNGzYUb7/9dpnlp06dKho2bKizbPTo0aJdu3bS4/DwcNG9e3edMt26dRMDBw40Uq0NY2gby9K4cWMxa9Ys6XFFP6ceF0PbqE1Q0tPTy40pp+P4qMdw8+bNQqFQiIsXL0rL5HYM71eRBEUu78Un4hSPoZKTk5GamoquXbtKy1QqFYKCgnDw4EEAwNGjR1FQUKBTxsPDA/7+/lKZxyExMREODg5o27attKxdu3ZwcHCocD2uX7+O7du3Y8SIEXrrVq9eDRcXFzRp0gRTpkxBVlaW0epeUY/SxoSEBLi6uqJ+/foYOXIk0tLSpHVyOYaAcY4jAGRkZEChUOidynzcxzE/Px9Hjx7VeW4BoGvXruW2JzExUa98t27dcOTIERQUFDywzOM+XkDl2lhacXExsrKy4OTkpLM8Ozsb3t7eqFu3LsLCwnD8+HGj1dsQj9LGFi1awN3dHSEhIdi7d6/OOrkcR2McwxUrVqBLly56o6DL5RhWhlzei1U6kqxcaf9lufQ/K7u5ueHSpUtSGaVSCUdHR70ypf+l2ZRSU1Ph6uqqt9zV1bXC9Vi1ahXs7OzQv39/neWDBw+Gj48PNBoNTp8+jenTp+PXX39FfHy8UepeUZVtY48ePfDSSy/B29sbycnJeO+999C5c2ccPXoUKpVKNscQMM5xvHfvHt5++20MGjRI58+9quI43rx5E0VFRWW+h8prT2pqapnlCwsLcfPmTbi7u5db5nEfL6BybSztk08+QU5ODsLDw6VlDRs2RExMDAICApCZmYlPP/0UHTt2xK+//go/Pz+jtuFhKtNGd3d3LF++HIGBgcjLy8M333yDkJAQJCQk4LnnngNQ/rF+3MfxUY9hSkoKvv/+e6xZs0ZnuZyOYWXI5b1YbROUyMhIzJo164FlkpKS0KpVq0rvQ6FQ6DwWQugtK60iZSqiou0D9OtpaD1WrlyJwYMHw8rKSmf5yJEjpXl/f3/4+fmhVatWOHbsGFq2bFmh2A9i6jYOGDBAmvf390erVq3g7e2N7du36yVjhsQ1xOM6jgUFBRg4cCCKi4uxZMkSnXWmPo4PYuh7qKzypZdX5n1pSpWtz9q1axEZGYnvvvtOJzlt166dzsXcHTt2RMuWLfH555/js88+M17FDWBIGxs0aIAGDRpIj9u3b48rV67g448/lhIUQ2OaWmXrEhMTg1q1auH555/XWS7HY2goObwXq22C8uabbz70ToR69epVKrZGowFQkkW6u7tLy9PS0qSMUaPRID8/H+np6Tq/wNPS0tChQ4dK7fd+FW3fyZMncf36db11N27c0Mtuy7J//36cP38e69evf2jZli1bwtLSEn/88YdRvtgeVxu13N3d4e3tjT/++AOA6Y8h8HjaWFBQgPDwcCQnJ2PPnj0P/Wt0Yx/Hsri4uMDc3Fzv19T976HSNBpNmeUtLCzg7Oz8wDKGvA6MpTJt1Fq/fj1GjBiBDRs2oEuXLg8sa2ZmhtatW0uv28fpUdp4v3bt2iE2NlZ6LJfj+CjtE0Jg5cqVGDJkCJRK5QPLVuUxrAzZvBeNdjVLNWDoRbLz5s2TluXl5ZV5kez69eulMteuXauyi2R/+eUXadmhQ4cqfHHl0KFD9e76KM+pU6cEALFv375K17cyHrWNWjdv3hQqlUqsWrVKCCGfYyhE5duYn58vnn/+edGkSRORlpZWoX09ruPYpk0b8cYbb+gsa9So0QMvkm3UqJHOsjFjxuhdmNejRw+dMt27d6/Si2QNaaMQQqxZs0ZYWVk99EJFreLiYtGqVSsxfPjwR6lqpVWmjaW98MILolOnTtJjOR3HyrZPezHwqVOnHrqPqj6G90MFL5KVw3vxiUhQLl26JI4fPy5mzZolbG1txfHjx8Xx48dFVlaWVKZBgwZi06ZN0uO5c+cKBwcHsWnTJnHq1Cnx8ssvl3mbcd26dcXu3bvFsWPHROfOnavsNuOmTZuKxMREkZiYKAICAvRuTy3dPiGEyMjIEDY2NmLp0qV6Mf/8808xa9YskZSUJJKTk8X27dtFw4YNRYsWLarsFlxD2piVlSUmT54sDh48KJKTk8XevXtF+/btRZ06dWR5DIUwvI0FBQWiT58+om7duuLEiRM6tzPm5eUJIar2OGpv31yxYoU4e/asiIiIEGq1Wrrb4e233xZDhgyRymtvbZw4caI4e/asWLFihd6tjT///LMwNzcXc+fOFefOnRNz586VxW3GFW3jmjVrhIWFhfjiiy/Kve07MjJS7Ny5U1y4cEEcP35cDB8+XFhYWOgkr4+ToW1cuHCh2Lx5s/j999/F6dOnxdtvvy0AiI0bN0pl5HQcDW2f1iuvvCLatm1bZky5HcOsrCzpew+AWLBggTh+/Lh0t59c34tPRIIydOhQAUBv2rt3r1QGgIiOjpYeFxcXi5kzZwqNRiNUKpV47rnn9DLl3Nxc8eabbwonJydhbW0twsLCxOXLlx9Tq/5169YtMXjwYGFnZyfs7OzE4MGD9W7xK90+IYT48ssvhbW1dZljYly+fFk899xzwsnJSSiVSuHr6yveeustvXFEHhdD23j37l3RtWtXUbt2bWFpaSm8vLzE0KFD9Y6PXI6hEIa3MTk5uczX9f2v7ao+jl988YXw9vYWSqVStGzZUqfXZujQoSIoKEinfEJCgmjRooVQKpWiXr16ZSbPGzZsEA0aNBCWlpaiYcOGOl98VcGQNgYFBZV5vIYOHSqViYiIEF5eXkKpVIratWuLrl27ioMHDz7GFukzpI3z5s0Tvr6+wsrKSjg6OopnnnlGbN++XS+mnI6joa/TO3fuCGtra7F8+fIy48ntGGp7e8p73cn1vagQ4p8rX4iIiIhkguOgEBERkewwQSEiIiLZYYJCREREssMEhYiIiGSHCQoRERHJDhMUIiIikh0mKERERCQ7TFCIiMqQkJAAhUKBO3fuVHVViJ5ITFCIiIhIdpigEBERkewwQSEiAEBxcTHmzZuHp59+GiqVCl5eXvjoo48AAKdOnULnzp1hbW0NZ2dnjBo1CtnZ2dK2w4YNw/PPP4+oqCi4ubmhVq1amDVrFgoLC/Gf//wHTk5OqFu3LlauXCltc/HiRSgUCqxbtw4dOnSAlZUVmjRpgoSEBJ167du3D23atIFKpYK7uzvefvttFBYWSuvr1auHRYsW6WzTvHlzREZGSo8VCgX+7//+D/369YONjQ38/PywZcsWnW127NiB+vXrw9raGp06dcLFixcf7QklokfCBIWIAADTp0/HvHnz8N577+Hs2bNYs2YN3NzccPfuXXTv3h2Ojo5ISkrChg0bsHv3brz55ps62+/ZswfXrl3DTz/9hAULFiAyMhJhYWFwdHTEL7/8gjFjxmDMmDG4cuWKznb/+c9/MHnyZBw/fhwdOnRAnz59cOvWLQDA33//jZ49e6J169b49ddfsXTpUqxYsQIffvihwe2bNWsWwsPDcfLkSfTs2RODBw/G7du3AQBXrlxB//790bNnT5w4cQKvv/463n777Uo+k0RkFEb960EiqpYyMzOFSqUSX331ld665cuXC0dHR5GdnS0t2759uzAzMxOpqalCiJJ/Q/X29hZFRUVSmQYNGohnn31WelxYWCjUarVYu3atEOLff2OeO3euVKagoEDUrVtXzJs3TwghxDvvvCMaNGggiouLpTJffPGFsLW1lfbl7e0tFi5cqFPnZs2aiZkzZ0qPAYh3331XepydnS0UCoX4/vvvhRBCTJ8+XTRq1EhnP9OmTRMA9P5RmogeD/agEBHOnTuHvLw8hISElLmuWbNmUKvV0rKOHTuiuLgY58+fl5Y1adIEZmb/fqS4ubkhICBAemxubg5nZ2ekpaXpxG/fvr00b2FhgVatWuHcuXPSvtu3bw+FQqGz7+zsbFy9etWgNjZt2lSaV6vVsLOzk+py7tw5tGvXTmc/99eLiB4/JihEBGtr63LXCSF0vrjvd/9yS0tLvXVlLSsuLn5ofbRxy9q3EEKnjJmZmbRMq6CgQC/mg+pSensiqnpMUIgIfn5+sLa2xo8//qi3rnHjxjhx4gRycnKkZT///DPMzMxQv379R973oUOHpPnCwkIcPXoUDRs2lPZ98OBBnQTi4MGDsLOzQ506dQAAtWvXRkpKirQ+MzMTycnJBtWhcePGOvUoXS8ievyYoBARrKysMG3aNEydOhVff/01Lly4gEOHDmHFihUYPHgwrKysMHToUJw+fRp79+7F+PHjMWTIELi5uT3yvr/44gts3rwZv/32G8aNG4f09HS89tprAICxY8fiypUrGD9+PH777Td89913mDlzJiZNmiSdTurcuTO++eYb7N+/H6dPn8bQoUNhbm5uUB3GjBmDCxcuYNKkSTh//jzWrFmDmJiYR24bEVWeRVVXgIjk4b333oOFhQXef/99XLt2De7u7hgzZgxsbGzwww8/YMKECWjdujVsbGzwwgsvYMGCBUbZ79y5czFv3jwcP34cvr6++O677+Di4gIAqFOnDnbs2IH//Oc/aNasGZycnDBixAi8++670vbTp0/HX3/9hbCwMDg4OGD27NkG96B4eXlh48aNmDhxIpYsWYI2bdogKipKSpSI6PFTCJ58JaIqcPHiRfj4+OD48eNo3rx5VVeHiGSGp3iIiIhIdpigEBERkezwFA8RERHJDntQiIiISHaYoBAREZHsMEEhIiIi2WGCQkRERLLDBIWIiIhkhwkKERERyQ4TFCIiIpIdJihEREQkO0xQiIiISHb+H5+0G6jteFHXAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "compound_hist_binary_engage(df_random, \"Random\", 40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "def compound_hist_all(df, topic, num_bins, fig_num):\n",
    "    fig, axs = plt.subplots(nrows=1, ncols=5, figsize=(24, 6))\n",
    "    bins = np.linspace(-1, 1, num_bins+1)\n",
    "\n",
    "    for i in range(5):\n",
    "        sns.histplot(df[df['engagement_level'] == i]['compound'], bins=bins, \n",
    "                 kde=True, ax=axs[i])\n",
    "        axs[i].lines[0].set_color('crimson')\n",
    "        axs[i].set_xlabel('compound', fontname=\"Times New Roman\")\n",
    "        axs[i].set_title(f\"Engagement Level {i + 1}\", fontname=\"Times New Roman\")\n",
    "    fig.suptitle(f'Figure {fig_num}. Distribution of Compound With Engagement Level for {topic} Topic', \n",
    "                 fontsize=20,\n",
    "                 fontname=\"Times New Roman\")\n",
    " \n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2400x600 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "compound_hist_all(df_abortion, \"Abortion\", 8, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2400x600 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "compound_hist_all(df_music, \"Music/Movie\", 8, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2400x600 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "compound_hist_all(df_random, \"Random\", 8, 4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "More Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [],
   "source": [
    "abortion_pos_engage = (df_abortion_pos['engage_binary'] == 1).sum()\n",
    "abortion_pos_unengage = (df_abortion_pos['engage_binary'] == 0).sum()\n",
    "abortion_neg_engage = (df_abortion_neg['engage_binary'] == 1).sum()\n",
    "abortion_neg_unengage = (df_abortion_neg['engage_binary'] == 0).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [],
   "source": [
    "music_pos_engage = (df_music_pos['engage_binary'] == 1).sum()\n",
    "music_pos_unengage = (df_music_pos['engage_binary'] == 0).sum()\n",
    "music_neg_engage = (df_music_neg['engage_binary'] == 1).sum()\n",
    "music_neg_unengage = (df_music_neg['engage_binary'] == 0).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Odds ratio: 1.1289885718110249\n",
      "p-value: 0.05981343734483231\n"
     ]
    }
   ],
   "source": [
    "from scipy.stats import fisher_exact\n",
    "contingency_table = [[abortion_pos_engage, abortion_pos_unengage], [abortion_neg_engage, abortion_neg_unengage]]\n",
    "\n",
    "# Perform Fisher's exact test\n",
    "odds_ratio, p_value = fisher_exact(contingency_table)\n",
    "\n",
    "# Print the results\n",
    "print(\"Odds ratio:\", odds_ratio)\n",
    "print(\"p-value:\", p_value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Odds ratio: 1.0335923893705874\n",
      "p-value: 0.6920216589535111\n"
     ]
    }
   ],
   "source": [
    "contingency_table = [[music_pos_engage, music_pos_unengage], [music_neg_engage, music_neg_unengage]]\n",
    "\n",
    "# Perform Fisher's exact test\n",
    "odds_ratio, p_value = fisher_exact(contingency_table)\n",
    "\n",
    "# Print the results\n",
    "print(\"Odds ratio:\", odds_ratio)\n",
    "print(\"p-value:\", p_value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"2/ anencephaly and could never survive. Still, Casiano had to give birth because Texas abortion laws do not have an exception for fetal anomalies. After her experience, she says, she won't get pregnant again for fear of reliving the experience.\\nhttps://t.co/3DpzkyGKqA\""
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_abortion[df_abortion['engagement_level']==3]['Tweet'].iloc[1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Extreme Engagement: \n",
    "positive:\n",
    "cheering, appealing, showing caring, asking for opinions \n",
    "\n",
    "High engagement:\n",
    "negative:\n",
    "medium negativity \n",
    "anecdote \n",
    "political "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'40% of people in this country wants abortion to be illegal. That number goes to 60% amongst republicans. \\n\\nIf you think abortion is a losing issue for republicans, then it can only be due to your ignorance. It’s only a losing issue if you compromise.'"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_abortion[df_abortion['engagement_level']==3]['Tweet'].iloc[5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.10.9 ('base')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "1f759ffef1a6238f0cc7d082b1d1c10faeac2a7e5e5cd247bc6e13d55eb9f4e1"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}