diff --git "a/code/exploratory_data_analysis.ipynb" "b/code/exploratory_data_analysis.ipynb"
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+++ "b/code/exploratory_data_analysis.ipynb"
@@ -0,0 +1,550 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Response_ID</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>Nationality</th>\n",
+       "      <th>Native Language</th>\n",
+       "      <th>Familiarity with English</th>\n",
+       "      <th>Accent Strength (Self reported)</th>\n",
+       "      <th>Difficulties</th>\n",
+       "      <th>Recording Machine</th>\n",
+       "      <th>Name</th>\n",
+       "      <th>Number</th>\n",
+       "      <th>Address</th>\n",
+       "      <th>Duration (secs)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>R_1KvCEEGNThnpnzy</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>Indian</td>\n",
+       "      <td>Marathi</td>\n",
+       "      <td>Educated in English, but not my native language</td>\n",
+       "      <td>5</td>\n",
+       "      <td>About half the time</td>\n",
+       "      <td>Phone Recorder</td>\n",
+       "      <td>Saffron Robles</td>\n",
+       "      <td>8885112931</td>\n",
+       "      <td>48 Ridge Road 407</td>\n",
+       "      <td>278</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>R_3nAeHdtYMOFbRQJ</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>Indian</td>\n",
+       "      <td>Hindi</td>\n",
+       "      <td>Educated in English, but not my native language</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Sometimes</td>\n",
+       "      <td>Phone Recorder</td>\n",
+       "      <td>Anannya</td>\n",
+       "      <td>9196856019</td>\n",
+       "      <td>7204, McQueen Drive</td>\n",
+       "      <td>542</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>R_1DN3Yy2ILEefmz8</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>Indian</td>\n",
+       "      <td>Hindi</td>\n",
+       "      <td>Educated in English, but not my native language</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Sometimes</td>\n",
+       "      <td>Phone Recorder</td>\n",
+       "      <td>Seraphina Balasubramanian</td>\n",
+       "      <td>43126798</td>\n",
+       "      <td>99 Willow Lane 493</td>\n",
+       "      <td>292</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>R_1O7z12FZh2bL6ST</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>American</td>\n",
+       "      <td>English</td>\n",
+       "      <td>Native speaker</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Sometimes</td>\n",
+       "      <td>Phone Recorder</td>\n",
+       "      <td>Zane Robles</td>\n",
+       "      <td>5993415111</td>\n",
+       "      <td>34 Elm Street 568</td>\n",
+       "      <td>509</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>R_7qeKPomI8VjGOsK</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>American</td>\n",
+       "      <td>English</td>\n",
+       "      <td>Native speaker</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Sometimes</td>\n",
+       "      <td>External Microphone</td>\n",
+       "      <td>Zuri Sutherland</td>\n",
+       "      <td>2563144191</td>\n",
+       "      <td>56 Pine Tree Lane 640</td>\n",
+       "      <td>590</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         Response_ID   Age  Gender Nationality Native Language  \\\n",
+       "0  R_1KvCEEGNThnpnzy  24.0  Female      Indian         Marathi   \n",
+       "1  R_3nAeHdtYMOFbRQJ  21.0  Female      Indian           Hindi   \n",
+       "2  R_1DN3Yy2ILEefmz8  24.0  Female      Indian           Hindi   \n",
+       "3  R_1O7z12FZh2bL6ST  22.0    Male    American         English   \n",
+       "4  R_7qeKPomI8VjGOsK  29.0    Male    American         English   \n",
+       "\n",
+       "                          Familiarity with English  \\\n",
+       "0  Educated in English, but not my native language   \n",
+       "1  Educated in English, but not my native language   \n",
+       "2  Educated in English, but not my native language   \n",
+       "3                                   Native speaker   \n",
+       "4                                   Native speaker   \n",
+       "\n",
+       "   Accent Strength (Self reported)         Difficulties    Recording Machine  \\\n",
+       "0                                5  About half the time       Phone Recorder   \n",
+       "1                                3            Sometimes       Phone Recorder   \n",
+       "2                                4            Sometimes       Phone Recorder   \n",
+       "3                                0            Sometimes       Phone Recorder   \n",
+       "4                                2            Sometimes  External Microphone   \n",
+       "\n",
+       "                        Name      Number                Address  \\\n",
+       "0             Saffron Robles  8885112931      48 Ridge Road 407   \n",
+       "1                    Anannya  9196856019    7204, McQueen Drive   \n",
+       "2  Seraphina Balasubramanian    43126798     99 Willow Lane 493   \n",
+       "3                Zane Robles  5993415111      34 Elm Street 568   \n",
+       "4            Zuri Sutherland  2563144191  56 Pine Tree Lane 640   \n",
+       "\n",
+       "   Duration (secs)  \n",
+       "0              278  \n",
+       "1              542  \n",
+       "2              292  \n",
+       "3              509  \n",
+       "4              590  "
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "sns.set(style=\"whitegrid\")\n",
+    "\n",
+    "df = pd.read_csv(\"../metadata.csv\")\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Accent Strength (Self reported)</th>\n",
+       "      <th>Number</th>\n",
+       "      <th>Duration (secs)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>69.000000</td>\n",
+       "      <td>70.000000</td>\n",
+       "      <td>7.000000e+01</td>\n",
+       "      <td>70.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>24.391304</td>\n",
+       "      <td>4.957143</td>\n",
+       "      <td>5.122851e+09</td>\n",
+       "      <td>354.542857</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>3.352863</td>\n",
+       "      <td>2.481443</td>\n",
+       "      <td>3.215596e+09</td>\n",
+       "      <td>216.122260</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>20.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>7.000000e+00</td>\n",
+       "      <td>110.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>23.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>2.294663e+09</td>\n",
+       "      <td>196.500000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>24.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.214430e+09</td>\n",
+       "      <td>285.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>25.000000</td>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>8.162263e+09</td>\n",
+       "      <td>486.750000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>39.000000</td>\n",
+       "      <td>9.000000</td>\n",
+       "      <td>9.898006e+09</td>\n",
+       "      <td>984.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             Age  Accent Strength (Self reported)        Number  \\\n",
+       "count  69.000000                        70.000000  7.000000e+01   \n",
+       "mean   24.391304                         4.957143  5.122851e+09   \n",
+       "std     3.352863                         2.481443  3.215596e+09   \n",
+       "min    20.000000                         0.000000  7.000000e+00   \n",
+       "25%    23.000000                         3.000000  2.294663e+09   \n",
+       "50%    24.000000                         5.000000  5.214430e+09   \n",
+       "75%    25.000000                         7.000000  8.162263e+09   \n",
+       "max    39.000000                         9.000000  9.898006e+09   \n",
+       "\n",
+       "       Duration (secs)  \n",
+       "count        70.000000  \n",
+       "mean        354.542857  \n",
+       "std         216.122260  \n",
+       "min         110.000000  \n",
+       "25%         196.500000  \n",
+       "50%         285.000000  \n",
+       "75%         486.750000  \n",
+       "max         984.000000  "
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# 1. Age Distribution (Bar Chart)\n",
+    "plt.figure(figsize=(8, 5))\n",
+    "sns.histplot(df['Age'], kde=False, color='skyblue', bins=5)\n",
+    "plt.title('Age Distribution')\n",
+    "plt.xlabel('Age')\n",
+    "plt.ylabel('Count')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 700x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# 2. Gender Distribution (Donut Chart)\n",
+    "gender_counts = df['Gender'].value_counts()\n",
+    "plt.figure(figsize=(7, 7))\n",
+    "plt.pie(gender_counts, labels=gender_counts.index, autopct='%1.1f%%', startangle=90, colors=sns.color_palette(\"pastel\"))\n",
+    "plt.title('Gender Distribution')\n",
+    "plt.gca().set_aspect('equal')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\saksh\\AppData\\Local\\Temp\\ipykernel_56720\\1499609431.py:3: FutureWarning: \n",
+      "\n",
+      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n",
+      "\n",
+      "  sns.countplot(y=df['Nationality'], palette='coolwarm')\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# 3. Nationality Distribution (Bar Chart)\n",
+    "plt.figure(figsize=(8, 5))\n",
+    "sns.countplot(y=df['Nationality'], palette='coolwarm')\n",
+    "plt.title('Nationality Distribution')\n",
+    "plt.gca().set_aspect('equal')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\saksh\\AppData\\Local\\Temp\\ipykernel_56720\\3268139136.py:3: FutureWarning: \n",
+      "\n",
+      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n",
+      "\n",
+      "  sns.countplot(y=df['Native Language'], palette='coolwarm')\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Native Language Distribution (Bar Chart)\n",
+    "plt.figure(figsize=(8, 5))\n",
+    "sns.countplot(y=df['Native Language'], palette='coolwarm')\n",
+    "plt.title('Native Language Distribution')\n",
+    "plt.gca().set_aspect('equal')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\saksh\\AppData\\Local\\Temp\\ipykernel_56720\\1451553406.py:3: FutureWarning: \n",
+      "\n",
+      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n",
+      "\n",
+      "  sns.countplot(y=df['Familiarity with English'], palette='coolwarm')\n",
+      "C:\\Users\\saksh\\AppData\\Local\\Temp\\ipykernel_56720\\1451553406.py:3: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
+      "  sns.countplot(y=df['Familiarity with English'], palette='coolwarm')\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Familiarity with English (Bar Chart)\n",
+    "plt.figure(figsize=(8, 5))\n",
+    "sns.countplot(y=df['Familiarity with English'], palette='coolwarm')\n",
+    "plt.title('Familiarity with English')\n",
+    "plt.xlabel('Count')\n",
+    "plt.ylabel('Familiarity Level')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Series([], Name: count, dtype: int64)"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['Familiarity with English'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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A3XHHHfZ11atX14wZM7Ro0SL1799fNWvW1Isvvmi/wnkj06dPd2hbrVo1TZo0Se+//76ioqIkXbmy/OSTT2rDhg36+uuv7fdGvtqUKVN0xx136J133tGyZctUqVIl9enTR4MHD87XldVM8fHx6tatm/2xv7+/qlevruHDh6t3797y9vbOdrvAwEAtXrxYCxcu1MiRI5WRkaH69etr5cqVqlGjhiSpS5cu+vrrrzVkyBANHz5cDzzwQI7ratu2rW699VY999xzSk9PV+vWrTVu3Dj7i5Z77rlHkZGRWrt2rT755BP7rfoee+wx+z7c4fkF4Mhi5PRdDwAAu19++UUJCQkOn2SXnp6uVq1a6cEHH9TYsWNdWB0A4Hq48gsAefDXX39pxIgRGjJkiBo3bqykpCRt2LBBFy9e1L/+9S9XlwcAuA6u/AJAHr3xxht6/fXXdezYMXl7eyskJET//ve/HW4DBwBwL4RfAAAAmAYz6QEAAGAahF8AAACYBuEXAAAApsHdHnLgp59+kmEY173XJAAAAFwr80OGMj+C/Hq48psDhmGI9wU6n2EYSk1N5bk1McYAGANgDMBZYyCneY0rvzmQecWX2xc5V2Jiovbv369atWrl6BOxUPwwBsAYAGMAzhoDe/fuzVE7rvwCAADANAi/AAAAMA3CLwAAAEyD8AsAAADTIPwCAADANAi/AAAAMA3CLwAAAEyD8AsAAADTIPwCAADANAi/AAAAMA3CLwAAAEyD8AsAAADTIPwCAADANAi/AAAAMA3CLwAAAEyD8AsAAADTIPwCAADANAi/7spmc3UFBctmk8VicXUVAADAZLxcXQCuw8ND2va2lBDv6kqcL6Ci1OJRV1cBAABMiPDrzhLipbMnXV0FAABAscG0BwAAAJiGW135XbJkib799lutXbtWktS7d2/t3Lkz27YzZsxQp06dsl335JNP6vvvv3dY1rhxY/t+AQAAYE5uE37Xr1+vOXPmqFGjRvZl8+fPV1pamv2xYRgaMWKEzp8/r/vuu++6+zp48KAmTpyotm3b2pd5e3sXTOEAAAAoMlwefuPi4jRhwgTt2LFD1apVc1gXEBDg8HjdunXas2eP3nvvPZUoUSLb/Z05c0ZnzpxRSEiIKlasWEBVAwAAoChy+Zzf3377Td7e3nr//fcVEhJy3XZnz57VnDlzNGjQINWoUeO67Q4ePCiLxaLq1asXRLkAAAAowlx+5bdNmzZq06bNTdstW7ZMfn5+6tev3w3bHTp0SKVKldLkyZP13Xffyd/fXx06dNDgwYPl4+PjrLIBAABQBLk8/ObEpUuX9NZbb2no0KHy9fW9YdtDhw4pJSVFwcHBevLJJ7V//37NnDlTf/31l2bOnJnnGgzDUGJiYp63zw2LxSKr1aoMm03KyCiUYxYqm02eklJSUiRJSUlJrq0HLpN57hkD5sUYAGMAzhoDhmHk6AO0ikT43bp1q1JTU9W1a9ebtp08ebIiIyNVpkwZSVKdOnXk7e2tESNGaPTo0apQoUKeakhLS9P+/fvztG1uWa1WBQUFKTk5WbZCCtyFyaNEskpI+uuvvyRJMTExLq0HrscYAGMAjAE4Ywzk5K/8RSb8tmzZUqVLl75pWy8vL3vwzVS7dm1JUmxsbJ7Dr7e3t2rVqpWnbXMr81WLn5+f5O9fKMcsVH5+kqRbb71Vv//+u6pVqyar1eriouAKSUlJiomJYQyYGGMAjAE4awwcOXIkR+2KRPiNiorSsGHDctS2d+/eqlq1qqZNm2ZftnfvXnl7e2e5m0RuWCwW+RdyEPX08JA8PQv1mIXC48r7LDOnsFit1kJ/buFeGANgDIAxgPyOgZxMeZDc4G4PN3Py5EmdO3dOgYGB2a6/fPmy4uPj7Y/bt2+v9957T2+88YaOHTumjz76SDNnzlS/fv1UsmTJwiobAAAAbsjtr/xmBttr7/mbaeXKlVqwYIEOHjwoSerVq5csFovWrl2rqVOnqmLFinriiSfUv3//wioZAAAAbsqtwu/06dOzLAsODrYH2+wMGzYsy5SInj17qmfPnk6vDwAAAEWb2097AAAAAJyF8AsAAADTIPwCAADANAi/cJnMT7LL6a1JAAAA8sut3vAGk7CWlGw2+fn5KSgoyNXVFBybzX5PYwAA4B4Ivyh8Pn6Sh4dsX72lpNg/5efnd+UDPYqTgIpSi0ddXQUAALgG4RcuY5yPly3++JWPcC6On2QHAADcTjG73AYAAABcH+EXAAAApkH4BQAAgGkQfgEAAGAahF8AAACYBuEXAAAApkH4BQAAgGkQfgEAAGAahF8AAACYBuEXAAAApkH4BQAAgGkQfgEAAGAahF8AAACYBuEXAAAApkH4BQAAgGkQfgEAAGAahF8AAACYBuEXAAAApkH4BQAAgGkQfgEAAGAahF8AAACYBuEXAAAApkH4BQAAgGkQfgEAAGAahF8AAACYBuEXAAAApkH4BQAAgGkQfgEAAGAahF8AAACYBuEXAAAApkH4BQAAgGkQfgEAAGAabhV+lyxZot69ezsse+GFF1S3bl2HrzZt2txwPx9//LEeeOABBQcHq1OnTvrhhx8KsmwAAAAUEV6uLiDT+vXrNWfOHDVq1Mhh+cGDBzVw4ED16tXLvszT0/O6+9m+fbuee+45jR49Wvfcc482btyo/v37a/PmzapZs2aB1Q8AAAD35/Irv3FxcRo4cKBmzZqlatWqOawzDENHjhxR/fr1VbFiRftXuXLlrru/ZcuWqW3bturTp49q1qypyMhI1atXT6+99loB9wQAAADuzuXh97fffpO3t7fef/99hYSEOKz7888/lZiYqBo1auRoXzabTT/++KMiIiIcljdp0kS7du1yWs0AAAAomlw+7aFNmzbXncN76NAhSdLatWu1bds2eXh4qEWLFhoxYoRKlSqVpf2FCxeUmJioKlWqOCyvVKmSYmNjnV88AAAAihSXh98bOXTokDw8PFSpUiUtXrxYf/75p2bOnKnDhw/rtddek4eH44Xr5ORkSZKPj4/Dcl9fX6WkpOSrFsMwlJiYmK995JTFYpHValWGzSZlZBTKMQuVzZCnrlyp11X/Fis2mzwlJSUlyTAMV1fjtpKSkhz+hfkwBsAYgLPGgGEYslgsN23n1uF30KBB6tGjh8qWLStJqlOnjipWrKh//etf2rt3b5ZpEr6+vpKk1NRUh+UpKSmyWq35qiUtLU379+/P1z5yymq1KigoSMnJybIVUuAuTF6pKbJKSv/7PGW+aClOPEokq4Sk6OhofqDnQExMjKtLgIsxBsAYgDPGwLUXQLPj1uHXw8PDHnwz1a5dW5IUGxubJfwGBATI399fp06dclh+6tQpVa5cOV+1eHt7q1atWvnaR05lvmrx8/OT/P0L5ZiFyufKixQvHx+l60o/r72KX+T5+UmSqlevzpXfG0hKSlJMTIyqVauW7xeoKJoYA2AMwFlj4MiRIzlq59bhd/To0Tp16pRWr15tX7Z3715JyjaIWiwWhYWFaefOnXr00Ufty3fs2JHlFmq5ZbFY5F/IQdTTw0O6wW3diiyPK+E+M/B6eHjc8PZ1RdLffeMHec5YrdZC//6Ce2EMgDGA/I6BnEx5kNzgbg830r59e/3www9asGCB/vzzT3399dd6/vnn9dBDD9nv2Xvx4kWdPXvWvs2TTz6pLVu2aNWqVfr99981c+ZM7d+/X48//rirugEAAAA34dbh995779WcOXP0+eef6+GHH9a4cePUrl07TZ061d5mypQpeuSRR+yPmzVrpqlTp+qNN95Q586dtX37di1evJgPuAAAAIB7TXuYPn16lmX333+/7r///lxt06lTJ3Xq1MmZpQEAAKAYcOsrvwAAAIAzEX4BAABgGoRfAAAAmAbhFwAAAKZB+AUAAIBpEH4BAABgGoRfAAAAmAbhFwAAAKZB+AUAAIBpEH4BAABgGoRfAAAAmAbhFwAAAKZB+AUAAIBpEH4BAABgGoRfAAAAmAbhFwAAAKZB+AUAAIBpEH4BAABgGoRfAAAAmAbhFwAAAKZB+AUAAIBpEH4BAABgGoRfAAAAmAbhFwAAAKZB+AUAAIBpEH4BAABgGoRfAAAAmAbhFwAAAKZB+AUAAIBpEH4BAABgGoRfAAAAmAbhFwAAAKZB+AUAAIBpEH4BAABgGoRfAAAAmAbhFwAAAKZB+AUAAIBpEH4BAABgGoRfAAAAmIZbhd8lS5aod+/eDsu++OILde3aVaGhoWrTpo1mzJih5OTk6+4jIyNDwcHBqlu3rsPX/PnzC7p8AAAAuDkvVxeQaf369ZozZ44aNWpkXxYVFaWhQ4dq+PDh6tChg44eParx48crISFB06ZNy3Y/MTExSklJ0Xvvvafy5cvbl/v7+xd4HwAAAODeXB5+4+LiNGHCBO3YsUPVqlVzWPfmm2+qSZMmGjhwoCSpWrVqGjFihF544QVNmjRJPj4+WfZ38OBBlSxZUoGBgYVRPgAAAIoQl4ff3377Td7e3nr//fe1cOFCnThxwr6ub9++8vBwnJnh4eGhtLQ0Xbp0SeXKlcuyv4MHD6pmzZoFXjcAAACKHpeH3zZt2qhNmzbZrgsKCnJ4nJaWptWrV6t+/frZBl9JOnTokNLT09WvXz8dOHBAlStX1uOPP65//vOfTq8dAAAARYvLw29Opaena/To0Tp8+LDWr19/3XaHDx+WzWbT8OHDVaVKFX399dcaO3as0tLS9Mgjj+T5+IZhKDExMc/b54bFYpHValWGzSZlZBTKMQuVzZCnJJvNduXh3/8WKzabPCUlJSXJMAxXV+O2kpKSHP6F+TAGwBiAs8aAYRiyWCw3bVckwu+lS5f0zDPPaOfOnVqwYIGCg4Ov2/bDDz9URkaGSpQoIUkKDAzUX3/9pRUrVuQr/KalpWn//v153j43rFargoKClJycLFshBe7C5JWaIquk9NRUSbrh3TuKKo8SySohKTo6mh/oORATE+PqEuBijAEwBuCMMZDd+8Gu5fbh99SpU3r66ad14sQJrVixQuHh4Tds7+fnl2VZnTp19P777+erDm9vb9WqVStf+8ipzFctfn5+UnG8S4WPryTJy8dH6brSz2vndhd5f4/D6tWrc+X3BpKSkhQTE6Nq1arJarW6uhy4AGMAjAE4awwcOXIkR+3cOvyeP39ejz/+uC5duqT169erbt26N2x/4cIFtW3bVmPGjFGXLl3sy/fu3avatWvnqxaLxVLot0vz9PCQPD0L9ZiFwuNKuM8MvB4eHvIsbv38u2/8IM8Zq9XK7QhNjjEAxgDyOwZyMuVBcvPwO23aNB07dkzLly9XuXLlFB8fb19Xrlw5eXp6KiEhQZIUEBCg0qVLq2nTpnrllVdUvnx53XHHHfr000/1/vvva8mSJS7qBQAAANyF24bfjIwMffTRR0pLS9Pjjz+eZf3nn3+uqlWratiwYZKktWvXSpKmTp2q+fPna8KECTpz5oxq1qypefPmqXnz5oVaPwAAANyPW4Xf6dOn2//v6empPXv23HSbzNCbqWTJkho7dqzGjh3r9PoAAABQtBWzdxkBAAAA10f4BQAAgGkQfgEAAGAahF8AAACYBuEXAAAApkH4BQAAgGkQfgEAAGAahF8AAACYBuEXAAAApkH4BQAAgGkQfgEAAGAahF8AAACYBuEXAAAApkH4BQAAgGkQfgEAAGAahF8AAACYBuEXAAAApkH4BQAAgGkQfgEAAGAahF8AAACYBuEXAAAApkH4BQAAgGkQfgEAAGAahF8AAACYBuEXAAAApkH4BQAAgGkQfgEAAGAahF8AAACYBuEXAAAApkH4BQAAgGkQfgEAAGAahF8AAACYBuEXAAAApkH4BQAAgGkQfgEAAGAaBRJ+Y2NjC2K3AAAAQL7kKfzeeeed2rNnT7broqKidP/99+erKAAAAKAgeOW04cqVK5WYmChJMgxDb7/9trZt25al3U8//SQfHx/nVQgAAAA4SY7Db0pKihYsWCBJslgsevvtt7O08fDwUKlSpTRo0CDnVQgAAAA4SY7D76BBg+yhNjAwUG+99ZaCg4OdWsySJUv07bffau3atfZl+/fv15QpU/Trr7+qXLlyeuKJJ9SnT58b7ufjjz/W/Pnzdfz4cdWoUUORkZGKiIhwaq0AAAAoevI05/fAgQNOD77r16/XnDlzHJadO3dOTz75pG6//Xa98847GjJkiGbNmqV33nnnuvvZvn27nnvuOT322GN69913FRERof79++v33393ar0AAAAoenJ85fda3333nb788kslJSXJZrM5rLNYLJo6dWqO9hMXF6cJEyZox44dqlatmsO6t956S97e3po8ebK8vLxUs2ZNHT16VEuXLlXXrl2z3d+yZcvUtm1b+9XhyMhI/fTTT3rttdc0efLk3HcUAAAAxUaewu/KlSs1c+ZM+fr6qly5crJYLA7rr318I7/99pu8vb31/vvva+HChTpx4oR9XVRUlBo3biwvr/8vs2nTplqyZIlOnz6tChUqOOzLZrPpxx9/1JgxYxyWN2nSRJ9++mluuggAAIBiKE/hd926dXr44Yc1ZcqUfN/ZoU2bNmrTpk2262JjY1WnTh2HZZUqVZIknTx5Mkv4vXDhghITE1WlSpUs2+T33sOGYdjvdlHQLBaLrFarMmw2KSOjUI5ZqGyGPCX7Xwyu/ctBsWCzyVNScnKyDMNwdTUFJr99S0pKcvgX5sMYAGMAzhoDhmHk6AJsnsLv6dOn9cgjjxT4Lc2Sk5OzHMPX11fSlbtPZNdeUrbbZNc+N9LS0rR///587SOnrFargoKClJycLFshBe7C5JWaIquk9NRUSf9/3ooTz4re8rfZ5Ofn5+pSCowtI12//rZPaWlp+d5XTExM/gtCkcYYAGMAzhgDOcmmeQq/QUFBOnz4sJo0aZKXzXPMz89PqX8HpEyZIdbf3z9L+8xgnN02Vqs1X7V4e3urVq1a+dpHTmW+avHz85Oy6WeR53PlPHn5+ChdV/rp4VHMPmm7VIDk4SHbV2/JSDjl6mqczhJQUR6tuql27dr5uvqblJSkmJgYVatWLd/foyiaGANgDMBZY+DIkSM5apen8Pv888/rmWeekb+/v0JCQrIt9NZbb83Lrh1UqVJFp045BofMx5UrV87SPiAgQP7+/tluk1373LBYLNkG7oLk6eEheXoW6jELhceVcJ8ZeD08PORZ3PqZ2ccLp6WEOBcXUwD+PnfO+kVltVoL/fsL7oUxAMYA8jsGcvqeszyF3+7du8tms+n555+/7oGcMUUgPDxcb775pjIyMuzhaPv27apevbrKly+fpb3FYlFYWJh27typRx991L58x44datSoUb7rAQAAQNGWp/D74osv5uqODnnVtWtXLV++XOPGjdNTTz2lPXv2aPXq1Zo0aZK9zcWLF5WWlqZy5cpJkp588kn1799fQUFBatGihd555x37B2UAAADA3PIUfrt06eLsOrJVvnx5LV++XFOmTFHnzp1VsWJFjR49Wp07d7a3mTJlinbu3KkvvvhCktSsWTNNnTpVr776ql555RXVqlVLixcvVs2aNQulZgAAALivPIXfXbt23bRNeHh4rvc7ffr0LMuCg4O1YcOGXG3TqVMnderUKdfHBwAAQPGWp/Dbu3dvWSwWh3d5XzsNorBuCwYAAADkVJ7C75o1a7IsS0xMVFRUlN577z3Nnz8/34UBAAAAzpan8Nu4ceNsl7dq1Ur+/v5atGiRlixZkq/CAAAAAGdz+icLNGrUSDt37nT2bgEAAIB8c3r4/eKLL1SiRAln7xYAAADItzxNe+jTp0+WZTabTbGxsTpx4oSefvrpfBcGAAAAOFuewu/Vd3nI5OHhoTp16mjAgAHq2rVrvgsDAAAAnC1P4Xft2rXOrgMAAAAocHkKv5m2bdumnTt36sKFCypXrpwaNmyo5s2bO6s2AAAAwKnyFH5TU1M1ePBgffvtt/L09FTZsmV17tw5LVmyRE2bNtWSJUvk4+Pj7FoBAACAfMnT3R7mz5+v3bt3a+bMmdqzZ4++/fZb/fLLL5o2bZp+/vlnLVq0yNl1AgAAAPmWp/D74YcfaujQoerYsaM8PT0lSV5eXurUqZOGDh2qDz74wKlFAgAAAM6Qp/B79uxZBQUFZbsuKChIcXFx+SoKAAAAKAh5Cr+33367du/ene26Xbt26ZZbbslXUQAAAEBByNMb3h577DFNnz5dfn5+evDBB1WhQgWdPn1aH374oZYtW6ahQ4c6u04AKFw2m+Th9A/BdC9m6CMAXCNP4bd79+7at2+fZs2apZdfftm+3DAMde7cWf3793dagQDgEh4e0ra3pYR4V1dSMAIqSi0edXUVAFDo8nyrsylTpqhv377auXOnzp8/L4vForZt26pmzZrOrhEAXCMhXjp70tVVAACcKFd/7zp48KC6du2qVatWSZJq1qyp7t27q0ePHpo7d65Gjhyp6OjoAikUAAAAyK8ch9/jx4+rT58+On36tKpXr+6wztvbW6NHj1ZCQoJ69OjB3R4AAADglnIcfpcuXaqAgAC9++676tChg8M6q9WqJ554Qhs3bpSvr6+WLFni9EIBAACA/Mpx+P3hhx/01FNPqVy5ctdtU7FiRfXt21ffffedU4oDAAAAnCnH4ffUqVOqVq3aTdvVqVNHsbGx+akJAAAAKBA5Dr/lypXTqVOnbtru3LlzKlOmTL6KAgAAAApCjsNveHi4Nm3adNN2mzdvvu5HHwMAAACulOPw27t3b+3YsUPTp09XSkpKlvWpqamaOXOmtm3bpp49ezq1SAAAAMAZcvwhFw0aNNDYsWM1depUvffee4qIiFDVqlWVkZGhv/76Szt27NC5c+f073//W82bNy/ImgEAAIA8ydUnvPXs2VOBgYFasWKFPv/8c/sV4BIlSqhZs2bq27evQkJCCqRQAAAAIL9y/fHGDRs2VMOGDSVJZ8+elZeXl0qXLu30wgAAAABny3X4vdqN7vkLAAAAuJscv+ENAAAAKOoIvwAAADANwi8AAABMg/ALAAAA0yD8AgAAwDQIvwAAADANwi8AAABMg/ALAAAA0yD8AgAAwDQIvwAAADCNfH28cWHYsWOH+vTpk+26qlWr6vPPP8+yfPfu3erRo0eW5WvWrFGTJk2cXiMAAACKBrcPv6Ghofr2228dlv38888aNmyYBg8enO02Bw8e1O23367XX3/dYXmZMmUKrE4AAAC4P7cPvz4+PqpYsaL9cWJioqZNm6bOnTura9eu2W5z6NAh1apVy2E7AAAAoMjN+V28eLGSkpIUGRl53TYHDx5UzZo1C7EqAAAAFAVuf+X3amfPntXq1as1atQoBQQEXLfd4cOHVbZsWXXp0kVxcXGqU6eORowYoeDg4Dwf2zAMJSYm5nn73LBYLLJarcqw2aSMjEI5ZqGyGfKUZLPZrjz8+99i5e8+ZhhGMT2HNnlKSkpKkmEYed5NUlKSw7/uoth/D0pOO4f55a5jAIWHMQBnjQHDMGSxWG7arkiF39dff12lSpVSt27drtvm5MmTunjxohITE/XCCy/I09NT69atU69evbRp0ybVqlUrT8dOS0vT/v3781p6rlitVgUFBSk5OVm2QgrchckrNUVWSempqZKk5ORk1xZUADL7mJqcrPRieA49SiSrhKTo6Gin/MKKiYnJ9z6cqbh/D0rOP4f55W5jAIWPMQBnjAEfH5+btilS4Xfz5s3q1KmT/Pz8rtvmlltu0a5du2S1WuXt7S1JatCggfbt26e1a9dq0qRJeTq2t7d3noNzbmW+avHz85P8/QvlmIXKx1eS5OXjo3Rd6aeHR5GbgXNjf/fRx89PPsXxHP79PVi9evV8X/mNiYlRtWrVZLVanVVdvhX770HJaecwv9x1DKDwMAbgrDFw5MiRHLUrMuH3wIEDOnbsmB5++OGbti1durTDYw8PD9WsWVNxcXF5Pr7FYpF/If8S9PTwkDw9C/WYhcLjSrDIDLweHh7yLG79/LuPnhZLMT2HV86ds35RWa3WQv/+yoli+z0oOf0c5pe7jgEUHsYA8jsGcjLlQSpCb3iLiopS+fLlFRgYeMN227ZtU2hoqI4dO2Zflp6ergMHDhTalVsAAAC4pyITfvft26e6detmuy4+Pl6XL1+WJIWFhals2bKKjIzUr7/+qoMHDyoyMlIJCQl64oknCrFiAAAAuJsiE37j4+Ove4eHZs2aaeXKlZKkkiVLavXq1apQoYL69eunbt26KSEhQevWrVOFChUKsWIAAAC4myIz53fZsmXXXXfw4EGHx7fffrvmzZtX0CUBAACgiCkyV34BAACA/CL8AgAAwDQIvwAAADANwi8AAABMg/ALAAAA0yD8AgAAwDQIvwAAADANwi8AAABMg/ALAAAA0yD8AgAAwDQIvwAAADANwi8AAABMg/ALAAAA0yD8AgAAwDQIvwAAADANwi8AAABMg/ALAAAA0yD8AgAAwDQIvwAAADANwi8AAABMg/ALAAAA0yD8AgAAwDQIvwAAADANwi8Al7FYLLJarbJYLK4uBQBgEl6uLgBAEWQtKdlskkf+Xj9brVYFBQU5qSgAAG6O8Asg93z8rgTfbW9LCfF53k2Gzabk5GT5+fnJM59B2qmq1pbC7nN1FQCAAkD4BZB3CfHS2ZN53z4jQ7bERMnfX/L0dF5d+VWmgqsrAAAUEDe61AIAAAAULMIvAAAATIPwCwAAANMg/AIAAMA0CL8AAAAwDcIvAAAATIPwCwAAANMg/AIAAMA0CL8AAAAwDcIvAAAATIPwCwAAANMg/AIAAMA0ikT4jYuLU926dbN8bdq0Kdv2586d06hRoxQeHq7GjRtr0qRJSkpKKuSqAQAA4G68XF1AThw4cEC+vr7aunWrLBaLfXmpUqWybT98+HAlJSVp9erVunDhgsaNG6fExETNmDGjsEoGAACAGyoS4ffQoUOqVq2aKlWqdNO2P/30k3bu3KmPPvpINWvWlCRNnjxZTz31lEaOHKnKlSsXdLkAAABwU0Vi2sPBgwftQfZmoqKiVLFiRYf2jRs3lsVi0e7duwuqRAAAABQBRebKb9myZdWzZ09FR0frjjvu0KBBg9SiRYssbePi4nTLLbc4LPPx8VFAQIBOnjyZ5xoMw1BiYmKet88Ni8Uiq9WqDJtNysgolGMWKpshT0k2m+3Kw7//LVb+7mOGYRTrc5jf/rntGCju50+SbDZ5SkpKSpJhGC4rI/P9GLwvw7wYA3DWGDAMw2F67PW4ffhNT0/XH3/8oVq1amnMmDEqWbKktmzZov79+2vVqlWKiIhwaJ+UlCQfH58s+/H19VVKSkqe60hLS9P+/fvzvH1uWK1WBQUFKTk5WbZCCtyFySs1RVZJ6ampkqTk5GTXFlQAMvuYmpys9GJ8Dp3VP3cbA8X9/EmSR4lklZAUHR3tFqEjJibG1SXAxRgDcMYYyC4DXsvtw6+Xl5d27NghT09P+fn5SZLq16+vw4cPa8WKFVnCr5+fn1L/DlVXS0lJkb+/f57r8Pb2Vq1atfK8fW5kvmrx8/OT8lGz2/LxlSR5+fgoXVf66eFRJGbg5NzfffTx85NPMT6H+e2fzWZTcnKy+42B4n7+JOnvn6fVq1d3+ZXfmJgYVatWTVar1WV1wHUYA3DWGDhy5EiO2rl9+JWkEiVKZFlWu3Ztffvtt1mWV6lSRVu3bnVYlpqaqoSEhBy9Ye56LBZLvsJzXnh6eEienoV6zELhcSXcZ4YdDw8PeRa3fv7dR0+LpVifQ2f1z+3GQHE/f5L09/efu4QNq9Va6D9j4V4YA8jvGMjJlAepCLzh7fDhwwoLC9OOHTsclv/666/ZXokNDw9XbGysjh49al+2c+dOSVLDhg0LtlgAAAC4NbcPvzVr1lSNGjU0efJkRUVF6ffff9e0adP0888/a9CgQcrIyFB8fLx9zmBISIjCwsI0YsQI7dmzR9u3b9f48ePVqVMnbnMGAABgcm4ffj08PLR48WIFBwfrmWeeUefOnfXLL79o1apVqlOnjk6ePKlmzZrpo48+knTlkveCBQtUtWpVPf7443rmmWfUokULTZw40bUdAQAAgMsViTm/FSpU0LRp07JdV7VqVR08eNBhWfny5TVv3rzCKA0AAABFiNtf+QUAAACchfALAAAA0yD8AgAAwDQIvwAAADANwi8AAABMg/ALAAAA0yD8AgAAwDQIvwAAADANwi8AAABMg/ALAAAA0yD8AgAAwDQIvwAAADANwi8AAABMg/ALAAAA0yD8AgAAwDQIvwAAADANwi8AAABMg/ALAAAA0yD8AgAAwDQIvwAAADANwi8AAABMg/ALAAAA0yD8AgAAwDQIvwAAADANwi8AAABMg/ALAAAA0yD8AgAAwDQIvwAAADANwi8AAABMg/ALAAAA0yD8AgAAwDQIvwAAADANwi8AAABMg/ALAHAZi8Uiq9Uqi8Xi6lIAmISXqwsAALiAtaRks0kerr0GYrVaFRQUVDA7d4P+ATdU3Meom/aP8AsAZuTjd+WX0ra3pYR4l5WRYbMpOTlZfn5+8nTmL8mAilKLR523P6AguMH3YIFx4+9Bwi8AmFlCvHT2pOuOn5EhW2Ki5O8veXq6rg7AVVz9PWhC7nctGgAAACgghF8AAACYRpGY9pCQkKDZs2frq6++0qVLl1S3bl2NGjVKjRo1yrb9okWLNGfOnCzLDx48WMCVAgAAwJ0VifA7cuRIxcfHa/bs2SpfvrzWrl2rfv366d1331WNGjWytD948KD++c9/6rnnnnNBtQAAAHBXbj/t4ejRo/ruu+80ceJENWrUSNWrV9d//vMfVapUSR988EG22xw6dEhBQUGqWLGiwxcAAADMze3Db9myZbV06VI1aNDAvsxischisejChQtZ2qempiomJibbK8IAAAAwN7ef9lC6dGm1bNnSYdknn3yio0eP6vnnn8/S/siRI8rIyNAnn3yiKVOmKCUlReHh4XruuedUqVKlPNdhGIYSExPzvH1uZH7iUYbNJmVkFMoxC5XNkKckm8125eHf/xYrf/cxwzCK9TnMb//cdgwU9/MnuU0fC2wM2GzylJSUlCTDMJy7bzhVUlKSw79mUfx/1+f8e9BZY8AwjBx9WqTbh99r/fjjjxo7dqzatWunVq1aZVl/6NAhSVc+NWju3Lk6c+aMZs+erT59+mjz5s3y8/PL03HT0tK0f//+/JSeY5mfeJScnHzl/pfFjFdqiqyS0lNTJUnJycmuLagAZPYxNTlZ6cX4HDqrf+42Bor7+ZPcr4/OHgMeJZJVQlJ0dLTpQlVRFRMT4+oSClVx/12fl+9BZ4wBHx+fm7YpUuF369atevbZZxUWFqZZs2Zl26ZTp05q0aKFypUrZ19Wu3ZttWjRQl988YUeeOCBPB3b29tbtWrVytO2uZX5qsXPz+/Kjd+LGx9fSZKXj4/SdaWfHm748Yf58ncfffz85FOMz2F++2e76tO93GoMFPfzJ7lNHwtsDPx9oaN69epc+XVzSUlJiomJUbVq1WS1Wl1dTqEp9r/rc/E96KwxcOTIkRy1KzLhd926dZoyZYo6dOigGTNm3DDZXx18JalSpUoKCAhQbGxsno9vsVjkX8iD09PDo3h+4pHHlW/4zF90Hh4e8ixu/fy7j54WS7E+h87qn9uNgeJ+/iS366PTx8DfP1/MFKaKOqvVWui/Z91B8f1dn/vvwfyOgZxMeZCKwBveJOn111/Xiy++qJ49e2r27Nk3DL6vvPKK2rdv7/Aq4/jx4zp37lyhXbkFAACAe3L78BsdHa2pU6fqvvvu04ABA3T69GnFx8crPj5eFy9eVGpqquLj45X69/zR++67TydOnNDEiRMVHR2tXbt2adiwYQoLC1Pz5s1d3BsAAAC4kttPe/jkk0+Ulpamzz77TJ999pnDus6dO6tz587q06eP1qxZoyZNmqh+/fpatmyZ5s6dqy5dusjHx0f33nuvIiMjc3w5HAAAAMWT24ffgQMHauDAgTdsc+3HFkdERCgiIqIgywIAAEAR5PbTHgAAAABnIfwCAADANAi/AADAZTI/6Yz35aCwuP2cXwAAkA2bzX4v1aIs85POslVM+gj3QvgFAKAo8vCQtr0tJcS7upJ8ybjqU/48rw66ARWlFo+6rjAUW4RfAACKqoR46exJV1eRPxkZsiUmXvmI3+L4SWdwO/wtAQAAAKZB+AUAAIBpEH4BAABgGoRfAAAAmAbhFwAAAKZB+AUAAIBpEH4BAABgGoRfAAAAmAbhFwAAAKZB+AUAAIBpEH4BAABgGoRfAAAAmAbhFwAAAKZB+AUAAIBpEH4BAABgGoRfAAAAmAbhFwAAAKZB+AUAAIBpEH4BAMWPtaRks7m6CuQH5xAFxMvVBQAA4HQ+fpKHh7TtbSkh3tXVOF/V2lLYfa6uomBxDlFACL8AgOIrIV46e9LVVThfmQqurqDwcA7hZEx7AAAAgGkQfgEAAGAahF8AAACYBuEXAAAApkH4BQAAgGkQfgEAAGAahF8AAACYBuEXAAAApkH4BQAAgGkQfgEAAGAahF8AAACYBuEXAAAAplEkwq/NZtO8efPUvHlz3XXXXXr66ad17Nix67Y/d+6cRo0apfDwcDVu3FiTJk1SUlJSIVYMAAAAd1Qkwu+rr76q119/XS+++KLefPNN2Ww2PfXUU0pNTc22/fDhw3X06FGtXr1ac+fO1ddff62JEycWbtEAAABwO24fflNTU7Vy5UoNHz5crVq1UmBgoF555RXFxsbq008/zdL+p59+0s6dOzVjxgzVq1dPERERmjx5st577z3FxcW5oAcAAABwF24ffg8cOKDLly8rIiLCvqx06dIKCgrSrl27srSPiopSxYoVVbNmTfuyxo0by2KxaPfu3YVSMwAAANyTl6sLuJnY2FhJ0i233OKwvFKlSvZ1V4uLi8vS1sfHRwEBATp58mSeakhLS5NhGNqzZ0+ets8Li8Ui3RImVc4otGMWGk9vae9e6daGMiqHyCKLZHF1UU6W2cfifg7z2z9DMmS43xgo7udPcp8+FtQYcJf+FZTi1L/rjYHi1MfsFPf+eXhKe/fKMIybNs1sc/jw4Sv5J4/S0tJytL3bh9/MN6r5+Pg4LPf19dX58+ezbX9t28z2KSkpeaoh84nMzwnJE78ShXu8wuZXwq3yToEwwTnML7ceA8X9/Elu0ccCHQNu0L8CVUz6d8MxUEz6eF3FvH85yU4WiyXb7JaXYxWL8Ovn5yfpytzfzP9LUkpKiqxWa7bts3sjXEpKivz9/fNUQ2hoaJ62AwAAgHtx+zm/mVMYTp065bD81KlTqly5cpb2VapUydI2NTVVCQkJqlSpUsEVCgAAALfn9uE3MDBQJUuW1I4dO+zLLly4oH379ik8PDxL+/DwcMXGxuro0aP2ZTt37pQkNWzYsOALBgAAgNty+2kPPj4+6tWrl2bNmqVy5crptttu03//+19VqVJF7dq1U0ZGhs6ePatSpUrJz89PISEhCgsL04gRIzRx4kQlJiZq/Pjx6tSpU7ZXigEAAGAeFiMnb8NzsYyMDM2ePVubNm1ScnKywsPDNX78eFWtWlXHjx/Xvffeq2nTpqlLly6SpDNnzmjSpEn65ptv5Ovrqw4dOmjs2LHy9fV1cU8AAADgSkUi/AIAAADO4PZzfgEAAABnIfwCAADANAi/AAAAMA3CLwAAAEyD8AsAAADTIPwCAADANAi/AAAAMA3CL5wuISFB48ePV4sWLRQWFqbu3bsrKirKvv6HH35Qly5dFBISog4dOmjLli0O26ekpGjSpEmKiIhQaGioRo0apbNnzxZ2N+AE0dHRCg0N1aZNm+zL9u/fr169eumuu+5SmzZttGbNGodtbDab5s2bp+bNm+uuu+7S008/rWPHjhV26XCCzZs364EHHlCDBg304IMP6uOPP7avO378uAYMGKCwsDA1a9ZMc+bMUUZGhsP269ev17333qvg4GD16NFD+/btK+wuIB/S09M1d+5ctW7dWqGhoerZs6d+/vln+3p+FhRfS5YsUe/evR2WOeN832wfOWYATvbkk08aDz30kLFr1y7jjz/+MCZNmmQEBwcbv//+u3HkyBGjQYMGxuzZs40jR44Yy5cvN4KCgozvv//evv2YMWOMtm3bGrt27TJ++eUXo1OnTkbPnj1d2CPkRWpqqtGlSxejTp06xjvvvGMYhmGcPXvWaNKkiTF27FjjyJEjxsaNG40GDRoYGzdutG83f/58o0mTJsaXX35p7N+/3+jbt6/Rrl07IyUlxVVdQR5s3rzZCAoKMtatW2ccPXrUePXVV43AwEDjxx9/NFJTU4127doZ/fv3Nw4ePGh89tlnRuPGjY25c+fat9+0aZMRHBxsvPfee8bhw4eN5557zmjcuLFx5swZF/YKuTFv3jzjnnvuMb755hsjJibGGDdunNGwYUMjLi6OnwXF2Lp164zAwECjV69e9mXOON852UdOEX7hVDExMUadOnWMqKgo+zKbzWa0bdvWmDNnjvGf//zHeOSRRxy2GTlypNG3b1/DMAwjNjbWCAwMNL766iv7+j/++MOoU6eO8eOPPxZOJ+AUL7/8stGnTx+H8Lt48WKjWbNmRlpamkO7du3aGYZhGCkpKUZoaKixfv16+/rz588bwcHBxgcffFC4HUCe2Ww2o3Xr1sb06dMdlvft29dYvHix8cEHHxj169c3EhIS7OvefPNNIywszP6Lrl27dsbMmTPt69PS0oyWLVsaixcvLpxOIN86duxoTJs2zf744sWLRp06dYxPPvmEnwXFUGxsrDFgwADjrrvuMjp06OAQfp1xvm+2j9xg2gOcqmzZslq6dKkaNGhgX2axWGSxWHThwgVFRUUpIiLCYZumTZtq9+7dMgxDu3fvti/LVL16dVWuXFm7du0qnE4g33bt2qUNGzZo+vTpDsujoqLUuHFjeXl52Zc1bdpUMTExOn36tA4cOKDLly87jJHSpUsrKCiI81+EREdH68SJE3r44Ycdlq9YsUIDBgxQVFSU6tWrpzJlytjXNW3aVJcuXdL+/ft15swZxcTEOIwDLy8vNWrUiHFQhJQvX15ffvmljh8/royMDG3YsEE+Pj4KDAzkZ0Ex9Ntvv8nb21vvv/++QkJCHNY543zfbB+5QfiFU5UuXVotW7aUj4+Pfdknn3yio0ePqnnz5oqNjVWVKlUctqlUqZKSkpJ07tw5xcXFqWzZsvL19c3SJjY2tlD6gPy5cOGCRo8erRdeeEG33HKLw7rrnX9JOnnypP0cX7sd579oiY6OliQlJiaqX79+ioiI0KOPPqovvvhCEuPALMaNGydvb2/de++9atCggV555RXNmzdPt99+O2OgGGrTpo3mz5+vf/zjH1nWOeN832wfuUH4RYH68ccfNXbsWLVr106tWrVScnKyQzCWZH+cmpqqpKSkLOslydfXVykpKYVSM/Jn4sSJCg0NzXLVT1K25z/zhU5KSoqSkpIkKds2nP+i49KlS5KkyMhIPfTQQ1q5cqXuueceDR48WD/88APjwCSOHDmiUqVKaeHChdqwYYO6dOmiZ599Vvv372cMmIwzzvfN9pEbXjdvAuTN1q1b9eyzzyosLEyzZs2SdGWgpqamOrTLfGy1WuXn55dlvXRlYFut1oIvGvmyefNmRUVF6YMPPsh2fXbnN/OHlr+/v/z8/CRdGROZ/89sw/kvOry9vSVJ/fr1U+fOnSVJd955p/bt26dVq1blahxc24ZxUDScPHlSo0aN0urVq9WoUSNJUoMGDXTkyBHNnz+fnwUm44zzfbN95AZXflEg1q1bp2HDhql169ZavHix/dXZLbfcolOnTjm0PXXqlPz9/VWqVClVqVJFCQkJWQb4qVOnVLly5UKrH3nzzjvv6MyZM2rVqpVCQ0MVGhoqSZowYYKeeuopValSJdvzL0mVK1e2/8kruzac/6Ij81zVqVPHYXmtWrV0/PhxxoEJ/PLLL0pLS3N4/4ckhYSE6OjRo4wBk3HG+b7ZPnKD8Aune/311/Xiiy+qZ8+emj17tsOfKRo1aqSdO3c6tN++fbvCwsLk4eGhhg0bymaz2d/4Jl2ZPxgXF6fw8PBC6wPyZtasWfroo4+0efNm+5ckDR8+XFOmTFF4eLh2797tcD/X7du3q3r16ipfvrwCAwNVsmRJ7dixw77+woUL2rdvH+e/CKlXr55KlCihX375xWH5oUOHdPvttys8PFz79u2zT4+QroyDEiVKKDAwUOXLl1f16tUdxkF6erqioqIYB0VE5tzMgwcPOiw/dOiQqlWrxs8Ck3HG+b7ZPnIl1/eHAG7gjz/+MOrVq2cMGTLEOHXqlMPXhQsXjEOHDhn16tUz/vvf/xpHjhwxVqxYkeU+vyNHjjTatGljbN++3X6f36tvmYKi5epbnZ0+fdoIDw83IiMjjcOHDxvvvPOO0aBBA2PTpk329rNnzzYaN25sbN261eFej6mpqa7qAvJg4cKFRmhoqPHBBx843Od3+/btRnJystG2bVujX79+xv79++33+Z0/f759+w0bNhjBwcHGpk2b7Pf5bdKkCff5LSIyMjKM7t27Gx06dDB++OEHIzo62njllVeMO++80/j555/5WVDMRUZGOvzedsb5zsk+corwC6datGiRUadOnWy/IiMjDcMwjK+//tp46KGHjPr16xsdOnQwtmzZ4rCPy5cvG+PGjTMaNWpkNGrUyBg5cqRx9uxZV3QHTnB1+DUMw/jll1+Mf/3rX0b9+vWN1q1bG2vXrnVon56ebsycOdNo2rSpcddddxlPP/20cezYscIuG06wcuVKo02bNka9evWMjh07Gp999pl9XUxMjPHkk08aDRo0MJo1a2bMmTPHyMjIcNh++fLlRosWLYzg4GCjR48exr59+wq7C8iHhIQEY+LEiUarVq2M0NBQo1u3bsaOHTvs6/lZUHxdG34Nwznn+2b7yCmLYRhG/i5mAwAAAEUDc34BAABgGoRfAAAAmAbhFwAAAKZB+AUAAIBpEH4BAABgGoRfAAAAmAbhFwBcgLtMAoBrEH4BFHu9e/dW3bp17V+BgYEKDQ1Vly5dtGbNGqWnpxdqPbt371b//v3tj48fP666detq06ZNhVZDWlqaunTpou+//77QjlkY6tatq/nz5+e4fa9evfTRRx8VYEUA3I2XqwsAgMIQFBSkCRMmSJIyMjJ0/vx5bdu2TdOmTVNUVJTmzJkjD4/CuR7w9ttv6/fff7c/rlSpkjZs2KDbb7+9UI4vSYsXL1aVKlV09913F9ox3dHzzz+vfv36qUmTJipfvryrywFQCAi/AEyhZMmSuuuuuxyWtWnTRjVq1NCUKVP04YcfqmPHji6pzcfHJ0ttBenUqVNaunSp3njjjUI7prsKCgpScHCwFi1apBdeeMHV5QAoBEx7AGBqvXr1UuXKlfXmm2/al2X3p/P58+erbt269sdjxozR448/rgkTJigsLEwPPPCAMjIydPbsWU2aNEmtW7dW/fr11bhxYw0ZMkTHjx+3b/fuu+/qxIkT9qkO2U17iImJ0fDhw3XPPfforrvuUu/evbV79277+sxtPv74Yw0fPlyhoaFq3LixXnjhBSUmJt6wz6tWrdKtt96q+vXr25f9+eefGjhwoJo0aaKQkBB169ZNX3/9tcN2hw4d0oABAxQWFqawsDANGTJEx44dc2hz6tQpRUZGKiIiQqGhoerVq5d++ukn+/qUlBQtXLhQHTp0UIMGDdSuXTstXbpUNpvN3qZ3794aN26cli5dqlatWqlBgwZ67LHHtGfPHodj7dy5U926dVNISIjat2+f7RSOzBc1wcHBatq0qZ599lnFxcU5tHn44Ye1ceNGnT179obPG4DigfALwNQ8PDwUERGhPXv25Hrub1RUlE6ePKmFCxdq1KhR8vDw0IABA/Tdd9/p2Wef1YoVKzR06FD98MMP9ikXgwcPVsuWLVWxYkVt2LBBrVq1yrLfI0eOqEuXLjp+/LheeOEFzZo1SxaLRY8//rh27tzp0HbChAm67bbb9Oqrr6pfv37auHGjFi1adMO6P/jgA7Vv397+2GazacCAAUpKStLMmTP16quvKiAgQIMGDdLRo0clSdHR0Xrsscd05swZzZgxQ1OmTNGxY8fUvXt3nTlzRpJ0+fJlde/eXTt27NBzzz2nBQsWyNfXV3379lVMTIwMw9DAgQO1fPlyPfroo1q8eLE6dOigOXPm2J+fTJ988ok+//xzvfDCC5o9e7ZOnz6tYcOGKSMjQ5L022+/qW/fvipVqpTmzZunPn36aOTIkQ772L17t0aPHq127dpp2bJlGjt2rLZv365Ro0Y5tGvTpo0yMjL02Wef3fB5A1A8MO0BgOlVqFBBaWlpSkhIUIUKFXK8XXp6uiZPnqwqVapIkuLi4mS1WhUZGalGjRpJkpo0aaI///xTGzZskCTdfvvtKleunMNUh2uv1C5YsEA+Pj5as2aNSpYsKUlq1aqVHnroIc2cOVMbN260t23ZsqUiIyMlSREREfruu+/01VdfZQl4mX7//XfFx8crODjYvuzMmTP6448/7MFckoKDg7VgwQKlpqbaa7JarVq9erW9poiICLVt21bLly9XZGSk/Yr2u+++qzvvvFOSFBYWpk6dOmnXrl06evSovv/+e82ePVsPPvigJOmee+6Rn5+f5s6dqz59+qh27dr253bFihX2Y12+fFmRkZHav3+/6tevryVLlqh8+fJatGiRvL29JUlly5bViBEj7P3avXu3/Pz81L9/f/n4+EiSAgICtHfvXhmGIYvFIkny9/dXzZo19cMPP6hbt243PukAijyu/AIwvczbjmWGoZwKCAiwB19Jqly5stasWaOGDRvq+PHj+u6777R27Vr9+OOP9hCZEzt37lTr1q3twU+SvLy89OCDD+rXX3/V5cuX7cuvnStcpUqVG057yJymULVqVfuyChUqqFatWvrPf/6jyMhIffDBB7LZbBo7dqw9jG7fvl2NGzeWn5+f0tPTlZ6erpIlS6pRo0b26Qa7d+9W1apV7cFXkqxWqz755BM9+uij2rlzp7y8vNShQweHmjLnWl99VbtWrVoO/a9cubIkKSkpyX6s5s2b24OvJLVr106enp72x+Hh4UpKStJDDz2kl19+WVFRUWrWrJmGDh2a5Vzfdttt9qkpAIo3rvwCML24uDj5+fkpICAgV9uVKFEiy7L3339fs2fP1smTJxUQEKA777xTfn5+udrv+fPns70CXaFCBRmGoUuXLtmXWa1WhzYeHh43vIfwxYsXs2xnsVi0cuVKLVq0SJ999pk2b94sb29vtW3bVpMmTVKZMmWUkJCgjz76KNvbgpUrV06SlJCQcMM7Jpw/f15ly5Z1CKiSVLFiRYfartcvSfa5wZn7upqXl5fDstDQUC1dulSrV6/WqlWrtHTpUlWoUEEDBw5U7969Hba1Wq0OxwdQfBF+AZhaenq6duzYobCwMIdQljm3NNPN3kQmXZkDHBkZqd69e6tfv372q5UzZ850eLPazZQpU0anT5/Osjw+Pl7SlT/vnzp1Ksf7u1pmOLxw4YLD8sqVK2vixImaMGGCDhw4oP/9739atmyZypYtqwkTJqhUqVK6++679eSTT2bZp5fXlV8lpUqVyvbq6Y8//qgyZcqoTJkyOnfunDIyMhye68y+XBtmbyQgICDLc2QYhs6fP++wrHnz5mrevLmSkpK0fft2rVmzRi+99JJCQkIcpn5cuHAhV8cHUHQx7QGAqW3YsEHx8fHq3r27fVnJkiWz3BHgxx9/vOm+fvrpJ9lsNg0bNswefDMyMuzTAjKvWt7sfsLh4eH68ssvHa7wZmRkaMuWLWrQoIF9/mpe3HrrrZKk2NhYh7rvvvtu7dmzRxaLRXfeeadGjBihOnXq6K+//pIkNW7cWEeOHNGdd96pBg0aqEGDBqpfv75Wr15tf6NYo0aNdOzYMR0+fNi+75SUFA0bNkwbN25U48aNlZ6erv/9738ONb3//vuSpIYNG+a4HxEREdq2bZt9GoQkffPNN0pLS7M/njFjhrp27SrDMGS1WtW6dWv7/OjMfmWKjY3VbbfdluPjAyi6uPILwBQuXbqkn3/+WdKVEHru3Dl9++232rBhgzp27Kh27drZ27Zq1UpbtmxRSEiI7rjjDm3atMl+14MbybySOHnyZHXt2lXnz5/X+vXrdeDAAUlXrh6XLFlSpUuX1unTp/X11187zI/NNHToUG3btk19+vRR//795e3trXXr1unYsWNavnx5vp6HGjVq6NZbb9Xu3bt13333Sbpyr1s/Pz+NHj1aw4YNU4UKFfT9999r//796tOnj6Qrd6l47LHHNGDAAHXv3l2+vr7asGGDtm7dqnnz5kmSunTporVr12rQoEEaPny4ypYtqzVr1igtLU09evRQ1apV1aRJE73wwguKi4tTYGCgdu7cqWXLlqlz586qVatWjvsxZMgQbd26Vf369dNTTz2ls2fPas6cOQ5zgJs2bapVq1ZpzJgx6tixo9LS0rR8+XIFBASoadOm9nYXL17U4cOH1bdv33w9twCKBq78AjCFffv2qVu3burWrZt69Oih0aNH68CBA5o4caJmzpzp0Hbs2LFq3bq1ZsyYoeHDh8vf3/+6d0+4WpMmTTR+/Hj99NNPevrppzV9+nTdeuutWrBggSTZpz506dJFt912m4YMGaLNmzdn2U/t2rX1+uuvq3z58ho7dqyee+45GYahNWvWOOUT2dq3b69t27bZH/v6+mrlypWqXbu2pkyZon79+unzzz/X5MmT1aVLF0lSYGCg1q9fL4vFotGjR2v48OGKj4/XwoUL7S8cSpYsqXXr1ikkJEQvvviinnnmGdlsNq1Zs0b/+Mc/ZLFYtGTJEj322GNavXq1+vfvr//9738aOXKkpk6dmqs+VKtWTevWrZOnp6dGjBihV199VZGRkSpTpoy9TcuWLTVr1iwdPnxYQ4cO1ciRI2W1WrVmzRqH+d3ffPONvL29s73tHIDix2Lc6J0RAIBiJy4uTm3bttXKlSsVHh7u6nJc7vHHH1edOnU0btw4V5cCoBBw5RcATKZy5cp64okntGzZMleX4nJ79+7VgQMH1L9/f1eXAqCQEH4BwISGDRumuLg4ffvtt64uxaWmTZum//znP/bbrQEo/pj2AAAAANPgyi8AAABMg/ALAAAA0yD8AgAAwDQIvwAAADANwi8AAABMg/ALAAAA0yD8AgAAwDQIvwAAADANwi8AAABM4/8AWMMyPyBDeOQAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Duration Distribution (Histogram)\n",
+    "plt.figure(figsize=(8, 5))\n",
+    "sns.histplot(df['Duration (secs)'], kde=False, color='coral', bins=10)\n",
+    "plt.title('Recording Duration Distribution')\n",
+    "plt.xlabel('Duration (seconds)')\n",
+    "plt.ylabel('Count')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "venv",
+   "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": "3.12.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}