diff --git a/Infant Health Prediction/Infant_health_predictions_EDA.ipynb b/Infant Health Prediction/Infant_health_predictions_EDA.ipynb
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@@ -0,0 +1,3903 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "bbec2a3b",
+   "metadata": {},
+   "source": [
+    "Infant Health Prediction | EDA\n",
+    "-> Load the dataset\n",
+    "\n",
+    "-> Perform Univariate and Multivariate analysis and draw conclusions from there.\n",
+    "\n",
+    "-> Explore Correlation Matrix\n",
+    "\n",
+    "-> Check the distribution(skewness) of the columns\n",
+    "\n",
+    "-> Detect Outliers(don't remove)\n",
+    "\n",
+    "-> Detect Class Label Imbalance"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "36a4ce0a",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:34.435952Z",
+     "iopub.status.busy": "2023-09-27T10:01:34.435385Z",
+     "iopub.status.idle": "2023-09-27T10:01:36.315089Z",
+     "shell.execute_reply": "2023-09-27T10:01:36.313945Z"
+    },
+    "papermill": {
+     "duration": 1.896499,
+     "end_time": "2023-09-27T10:01:36.317425",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:34.420926",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")\n",
+    "plt.rcParams['figure.figsize']=[15,6]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "df198750",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:36.346520Z",
+     "iopub.status.busy": "2023-09-27T10:01:36.345484Z",
+     "iopub.status.idle": "2023-09-27T10:01:36.453132Z",
+     "shell.execute_reply": "2023-09-27T10:01:36.450531Z"
+    },
+    "papermill": {
+     "duration": 0.125551,
+     "end_time": "2023-09-27T10:01:36.456179",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:36.330628",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
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+       "\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>Unnamed: 0</th>\n",
+       "      <th>BirthAsphyxia</th>\n",
+       "      <th>HypDistrib</th>\n",
+       "      <th>HypoxiaInO2</th>\n",
+       "      <th>CO2</th>\n",
+       "      <th>ChestXray</th>\n",
+       "      <th>Grunting</th>\n",
+       "      <th>LVHreport</th>\n",
+       "      <th>LowerBodyO2</th>\n",
+       "      <th>RUQO2</th>\n",
+       "      <th>...</th>\n",
+       "      <th>XrayReport</th>\n",
+       "      <th>Disease</th>\n",
+       "      <th>GruntingReport</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>LVH</th>\n",
+       "      <th>DuctFlow</th>\n",
+       "      <th>CardiacMixing</th>\n",
+       "      <th>LungParench</th>\n",
+       "      <th>LungFlow</th>\n",
+       "      <th>Sick</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>no</td>\n",
+       "      <td>Equal</td>\n",
+       "      <td>Severe</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>no</td>\n",
+       "      <td>5-12</td>\n",
+       "      <td>&lt;5</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Asy/Patchy</td>\n",
+       "      <td>TGA</td>\n",
+       "      <td>no</td>\n",
+       "      <td>4-10_days</td>\n",
+       "      <td>no</td>\n",
+       "      <td>Lt_to_Rt</td>\n",
+       "      <td>Transp.</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>no</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>no</td>\n",
+       "      <td>Equal</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>High</td>\n",
+       "      <td>Grd_Glass</td>\n",
+       "      <td>no</td>\n",
+       "      <td>no</td>\n",
+       "      <td>&lt;5</td>\n",
+       "      <td>5-12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Grd_Glass</td>\n",
+       "      <td>Fallot</td>\n",
+       "      <td>no</td>\n",
+       "      <td>0-3_days</td>\n",
+       "      <td>no</td>\n",
+       "      <td>Rt_to_Lt</td>\n",
+       "      <td>Mild</td>\n",
+       "      <td>Abnormal</td>\n",
+       "      <td>High</td>\n",
+       "      <td>no</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>no</td>\n",
+       "      <td>Equal</td>\n",
+       "      <td>Severe</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>no</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>5-12</td>\n",
+       "      <td>5-12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>PFC</td>\n",
+       "      <td>no</td>\n",
+       "      <td>0-3_days</td>\n",
+       "      <td>no</td>\n",
+       "      <td>Lt_to_Rt</td>\n",
+       "      <td>Complete</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>High</td>\n",
+       "      <td>no</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>no</td>\n",
+       "      <td>Equal</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>no</td>\n",
+       "      <td>no</td>\n",
+       "      <td>5-12</td>\n",
+       "      <td>&lt;5</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>PAIVS</td>\n",
+       "      <td>no</td>\n",
+       "      <td>0-3_days</td>\n",
+       "      <td>no</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Complete</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Low</td>\n",
+       "      <td>no</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>no</td>\n",
+       "      <td>Equal</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>no</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>12+</td>\n",
+       "      <td>5-12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>PAIVS</td>\n",
+       "      <td>no</td>\n",
+       "      <td>0-3_days</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>Lt_to_Rt</td>\n",
+       "      <td>Complete</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>yes</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 21 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Unnamed: 0 BirthAsphyxia HypDistrib HypoxiaInO2     CO2  ChestXray  \\\n",
+       "0           0            no      Equal      Severe  Normal     Normal   \n",
+       "1           1            no      Equal    Moderate    High  Grd_Glass   \n",
+       "2           2            no      Equal      Severe  Normal  Plethoric   \n",
+       "3           3            no      Equal    Moderate  Normal  Plethoric   \n",
+       "4           4            no      Equal    Moderate  Normal  Plethoric   \n",
+       "\n",
+       "  Grunting LVHreport LowerBodyO2 RUQO2  ...  XrayReport Disease  \\\n",
+       "0      yes        no        5-12    <5  ...  Asy/Patchy     TGA   \n",
+       "1       no        no          <5  5-12  ...   Grd_Glass  Fallot   \n",
+       "2       no       yes        5-12  5-12  ...      Normal     PFC   \n",
+       "3       no        no        5-12    <5  ...   Plethoric   PAIVS   \n",
+       "4       no       yes         12+  5-12  ...   Plethoric   PAIVS   \n",
+       "\n",
+       "  GruntingReport        Age  LVH  DuctFlow CardiacMixing LungParench LungFlow  \\\n",
+       "0             no  4-10_days   no  Lt_to_Rt       Transp.      Normal   Normal   \n",
+       "1             no   0-3_days   no  Rt_to_Lt          Mild    Abnormal     High   \n",
+       "2             no   0-3_days   no  Lt_to_Rt      Complete      Normal     High   \n",
+       "3             no   0-3_days   no       NaN      Complete      Normal      Low   \n",
+       "4             no   0-3_days  yes  Lt_to_Rt      Complete      Normal   Normal   \n",
+       "\n",
+       "  Sick  \n",
+       "0   no  \n",
+       "1   no  \n",
+       "2   no  \n",
+       "3   no  \n",
+       "4  yes  \n",
+       "\n",
+       "[5 rows x 21 columns]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv(\"Infant_Health_Prediction_data.csv\")\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "6ac3b565",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:36.484854Z",
+     "iopub.status.busy": "2023-09-27T10:01:36.484482Z",
+     "iopub.status.idle": "2023-09-27T10:01:36.514206Z",
+     "shell.execute_reply": "2023-09-27T10:01:36.512911Z"
+    },
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+     "start_time": "2023-09-27T10:01:36.469610",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
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+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>BirthAsphyxia</th>\n",
+       "      <th>HypDistrib</th>\n",
+       "      <th>HypoxiaInO2</th>\n",
+       "      <th>CO2</th>\n",
+       "      <th>ChestXray</th>\n",
+       "      <th>Grunting</th>\n",
+       "      <th>LVHreport</th>\n",
+       "      <th>LowerBodyO2</th>\n",
+       "      <th>RUQO2</th>\n",
+       "      <th>CO2Report</th>\n",
+       "      <th>XrayReport</th>\n",
+       "      <th>Disease</th>\n",
+       "      <th>GruntingReport</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>LVH</th>\n",
+       "      <th>DuctFlow</th>\n",
+       "      <th>CardiacMixing</th>\n",
+       "      <th>LungParench</th>\n",
+       "      <th>LungFlow</th>\n",
+       "      <th>Sick</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>no</td>\n",
+       "      <td>Equal</td>\n",
+       "      <td>Severe</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>no</td>\n",
+       "      <td>5-12</td>\n",
+       "      <td>&lt;5</td>\n",
+       "      <td>&lt;7.5</td>\n",
+       "      <td>Asy/Patchy</td>\n",
+       "      <td>TGA</td>\n",
+       "      <td>no</td>\n",
+       "      <td>4-10_days</td>\n",
+       "      <td>no</td>\n",
+       "      <td>Lt_to_Rt</td>\n",
+       "      <td>Transp.</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>no</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>no</td>\n",
+       "      <td>Equal</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>High</td>\n",
+       "      <td>Grd_Glass</td>\n",
+       "      <td>no</td>\n",
+       "      <td>no</td>\n",
+       "      <td>&lt;5</td>\n",
+       "      <td>5-12</td>\n",
+       "      <td>&gt;=7.5</td>\n",
+       "      <td>Grd_Glass</td>\n",
+       "      <td>Fallot</td>\n",
+       "      <td>no</td>\n",
+       "      <td>0-3_days</td>\n",
+       "      <td>no</td>\n",
+       "      <td>Rt_to_Lt</td>\n",
+       "      <td>Mild</td>\n",
+       "      <td>Abnormal</td>\n",
+       "      <td>High</td>\n",
+       "      <td>no</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>no</td>\n",
+       "      <td>Equal</td>\n",
+       "      <td>Severe</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>no</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>5-12</td>\n",
+       "      <td>5-12</td>\n",
+       "      <td>&gt;=7.5</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>PFC</td>\n",
+       "      <td>no</td>\n",
+       "      <td>0-3_days</td>\n",
+       "      <td>no</td>\n",
+       "      <td>Lt_to_Rt</td>\n",
+       "      <td>Complete</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>High</td>\n",
+       "      <td>no</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>no</td>\n",
+       "      <td>Equal</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>no</td>\n",
+       "      <td>no</td>\n",
+       "      <td>5-12</td>\n",
+       "      <td>&lt;5</td>\n",
+       "      <td>&lt;7.5</td>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>PAIVS</td>\n",
+       "      <td>no</td>\n",
+       "      <td>0-3_days</td>\n",
+       "      <td>no</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Complete</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Low</td>\n",
+       "      <td>no</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>no</td>\n",
+       "      <td>Equal</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>no</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>12+</td>\n",
+       "      <td>5-12</td>\n",
+       "      <td>&lt;7.5</td>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>PAIVS</td>\n",
+       "      <td>no</td>\n",
+       "      <td>0-3_days</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>Lt_to_Rt</td>\n",
+       "      <td>Complete</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>yes</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  BirthAsphyxia HypDistrib HypoxiaInO2     CO2  ChestXray Grunting LVHreport  \\\n",
+       "0            no      Equal      Severe  Normal     Normal      yes        no   \n",
+       "1            no      Equal    Moderate    High  Grd_Glass       no        no   \n",
+       "2            no      Equal      Severe  Normal  Plethoric       no       yes   \n",
+       "3            no      Equal    Moderate  Normal  Plethoric       no        no   \n",
+       "4            no      Equal    Moderate  Normal  Plethoric       no       yes   \n",
+       "\n",
+       "  LowerBodyO2 RUQO2 CO2Report  XrayReport Disease GruntingReport        Age  \\\n",
+       "0        5-12    <5      <7.5  Asy/Patchy     TGA             no  4-10_days   \n",
+       "1          <5  5-12     >=7.5   Grd_Glass  Fallot             no   0-3_days   \n",
+       "2        5-12  5-12     >=7.5      Normal     PFC             no   0-3_days   \n",
+       "3        5-12    <5      <7.5   Plethoric   PAIVS             no   0-3_days   \n",
+       "4         12+  5-12      <7.5   Plethoric   PAIVS             no   0-3_days   \n",
+       "\n",
+       "   LVH  DuctFlow CardiacMixing LungParench LungFlow Sick  \n",
+       "0   no  Lt_to_Rt       Transp.      Normal   Normal   no  \n",
+       "1   no  Rt_to_Lt          Mild    Abnormal     High   no  \n",
+       "2   no  Lt_to_Rt      Complete      Normal     High   no  \n",
+       "3   no       NaN      Complete      Normal      Low   no  \n",
+       "4  yes  Lt_to_Rt      Complete      Normal   Normal  yes  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = df.drop('Unnamed: 0',axis=1)\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "517a567e",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:36.548098Z",
+     "iopub.status.busy": "2023-09-27T10:01:36.546673Z",
+     "iopub.status.idle": "2023-09-27T10:01:36.553855Z",
+     "shell.execute_reply": "2023-09-27T10:01:36.553048Z"
+    },
+    "papermill": {
+     "duration": 0.026027,
+     "end_time": "2023-09-27T10:01:36.555787",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:36.529760",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(15000, 20)"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "fb1337ad",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:36.586688Z",
+     "iopub.status.busy": "2023-09-27T10:01:36.585427Z",
+     "iopub.status.idle": "2023-09-27T10:01:36.625947Z",
+     "shell.execute_reply": "2023-09-27T10:01:36.623919Z"
+    },
+    "papermill": {
+     "duration": 0.059135,
+     "end_time": "2023-09-27T10:01:36.628988",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:36.569853",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 15000 entries, 0 to 14999\n",
+      "Data columns (total 20 columns):\n",
+      " #   Column          Non-Null Count  Dtype \n",
+      "---  ------          --------------  ----- \n",
+      " 0   BirthAsphyxia   15000 non-null  object\n",
+      " 1   HypDistrib      15000 non-null  object\n",
+      " 2   HypoxiaInO2     15000 non-null  object\n",
+      " 3   CO2             15000 non-null  object\n",
+      " 4   ChestXray       15000 non-null  object\n",
+      " 5   Grunting        15000 non-null  object\n",
+      " 6   LVHreport       15000 non-null  object\n",
+      " 7   LowerBodyO2     15000 non-null  object\n",
+      " 8   RUQO2           15000 non-null  object\n",
+      " 9   CO2Report       15000 non-null  object\n",
+      " 10  XrayReport      15000 non-null  object\n",
+      " 11  Disease         15000 non-null  object\n",
+      " 12  GruntingReport  15000 non-null  object\n",
+      " 13  Age             15000 non-null  object\n",
+      " 14  LVH             15000 non-null  object\n",
+      " 15  DuctFlow        9311 non-null   object\n",
+      " 16  CardiacMixing   14273 non-null  object\n",
+      " 17  LungParench     15000 non-null  object\n",
+      " 18  LungFlow        15000 non-null  object\n",
+      " 19  Sick            15000 non-null  object\n",
+      "dtypes: object(20)\n",
+      "memory usage: 2.3+ MB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "05ba08b5",
+   "metadata": {},
+   "source": [
+    "Observing the Above datasets we can say it contain Object data Type"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "7ca2bb93",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:36.660054Z",
+     "iopub.status.busy": "2023-09-27T10:01:36.659671Z",
+     "iopub.status.idle": "2023-09-27T10:01:36.687694Z",
+     "shell.execute_reply": "2023-09-27T10:01:36.686109Z"
+    },
+    "papermill": {
+     "duration": 0.046889,
+     "end_time": "2023-09-27T10:01:36.690612",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:36.643723",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "BirthAsphyxia     2\n",
+       "HypDistrib        2\n",
+       "HypoxiaInO2       3\n",
+       "CO2               3\n",
+       "ChestXray         5\n",
+       "Grunting          2\n",
+       "LVHreport         2\n",
+       "LowerBodyO2       3\n",
+       "RUQO2             3\n",
+       "CO2Report         2\n",
+       "XrayReport        5\n",
+       "Disease           6\n",
+       "GruntingReport    2\n",
+       "Age               3\n",
+       "LVH               2\n",
+       "DuctFlow          2\n",
+       "CardiacMixing     3\n",
+       "LungParench       3\n",
+       "LungFlow          3\n",
+       "Sick              2\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.nunique()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "be6d6d6b",
+   "metadata": {},
+   "source": [
+    "The above nunique function tells us the number of unique values for data column"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "15b692ca",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:36.721904Z",
+     "iopub.status.busy": "2023-09-27T10:01:36.721491Z",
+     "iopub.status.idle": "2023-09-27T10:01:36.745124Z",
+     "shell.execute_reply": "2023-09-27T10:01:36.743546Z"
+    },
+    "papermill": {
+     "duration": 0.042247,
+     "end_time": "2023-09-27T10:01:36.747401",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:36.705154",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "BirthAsphyxia      0.000000\n",
+       "HypDistrib         0.000000\n",
+       "HypoxiaInO2        0.000000\n",
+       "CO2                0.000000\n",
+       "ChestXray          0.000000\n",
+       "Grunting           0.000000\n",
+       "LVHreport          0.000000\n",
+       "LowerBodyO2        0.000000\n",
+       "RUQO2              0.000000\n",
+       "CO2Report          0.000000\n",
+       "XrayReport         0.000000\n",
+       "Disease            0.000000\n",
+       "GruntingReport     0.000000\n",
+       "Age                0.000000\n",
+       "LVH                0.000000\n",
+       "DuctFlow          37.926667\n",
+       "CardiacMixing      4.846667\n",
+       "LungParench        0.000000\n",
+       "LungFlow           0.000000\n",
+       "Sick               0.000000\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "(df.isnull().sum()/df.shape[0])*100"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ef21037b",
+   "metadata": {},
+   "source": [
+    "**The Above Formula calculates the percentage of Missing Values / NULL values for each data column**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "ae6072b9",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:36.837514Z",
+     "iopub.status.busy": "2023-09-27T10:01:36.836787Z",
+     "iopub.status.idle": "2023-09-27T10:01:36.845216Z",
+     "shell.execute_reply": "2023-09-27T10:01:36.843827Z"
+    },
+    "papermill": {
+     "duration": 0.029637,
+     "end_time": "2023-09-27T10:01:36.847658",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:36.818021",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "20"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(df.columns)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c6f0c5eb",
+   "metadata": {},
+   "source": [
+    "It Identifies the column length of this dataset"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7ed77899",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0f350b75",
+   "metadata": {},
+   "source": [
+    "Calculate the Memory Usage Differences"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "8ef3833f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Pandas Memory Usage: 2400132 Bytes\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Pandas Memory Usage:\", df.memory_usage().sum(), 'Bytes')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "2d8e675f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Pandas Deep Memory Usage: 18324646 Bytes\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Pandas Deep Memory Usage:\", df.memory_usage(deep=True).sum(), 'Bytes')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e7878e46",
+   "metadata": {},
+   "source": [
+    "POLARS"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "ebf03c90",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Polars Memory Usage: 1494.705078125 KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "import polars as pl\n",
+    "\n",
+    "df1 = pl.read_csv(r\"C:\\Users\\LENOVO\\OneDrive\\Desktop\\GSSOC\\infant health prediction issue\\infant health prediction issue dataset~\\Infant_Health_Prediction_data.csv\")\n",
+    "\n",
+    "print(\"Polars Memory Usage:\", df1.estimated_size('kb') , 'KB')\n",
+    "\n",
+    "del df1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "daca02da",
+   "metadata": {},
+   "source": [
+    "**memory usage for dataset**\n",
+    "\n",
+    "<font size=\"4\">Pandas Memory Usage: 1506456 Bytes</font>\n",
+    "\n",
+    "Pandas Deep Memory Usage: 11153925 Bytes\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "**polars**\n",
+    "\n",
+    "Polars Memory Usage: 1494.705078125 KB"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "09dbc353",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Convert all columns to numeric\n",
+    "df = df.apply(pd.to_numeric, errors='ignore')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "1befc3c9",
+   "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>BirthAsphyxia</th>\n",
+       "      <th>HypDistrib</th>\n",
+       "      <th>HypoxiaInO2</th>\n",
+       "      <th>CO2</th>\n",
+       "      <th>ChestXray</th>\n",
+       "      <th>Grunting</th>\n",
+       "      <th>LVHreport</th>\n",
+       "      <th>LowerBodyO2</th>\n",
+       "      <th>RUQO2</th>\n",
+       "      <th>CO2Report</th>\n",
+       "      <th>XrayReport</th>\n",
+       "      <th>Disease</th>\n",
+       "      <th>GruntingReport</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>LVH</th>\n",
+       "      <th>DuctFlow</th>\n",
+       "      <th>CardiacMixing</th>\n",
+       "      <th>LungParench</th>\n",
+       "      <th>LungFlow</th>\n",
+       "      <th>Sick</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>15000</td>\n",
+       "      <td>15000</td>\n",
+       "      <td>15000</td>\n",
+       "      <td>15000</td>\n",
+       "      <td>15000</td>\n",
+       "      <td>15000</td>\n",
+       "      <td>15000</td>\n",
+       "      <td>15000</td>\n",
+       "      <td>15000</td>\n",
+       "      <td>15000</td>\n",
+       "      <td>15000</td>\n",
+       "      <td>15000</td>\n",
+       "      <td>15000</td>\n",
+       "      <td>15000</td>\n",
+       "      <td>15000</td>\n",
+       "      <td>9311</td>\n",
+       "      <td>14273</td>\n",
+       "      <td>15000</td>\n",
+       "      <td>15000</td>\n",
+       "      <td>15000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>unique</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>top</th>\n",
+       "      <td>no</td>\n",
+       "      <td>Equal</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Oligaemic</td>\n",
+       "      <td>no</td>\n",
+       "      <td>no</td>\n",
+       "      <td>5-12</td>\n",
+       "      <td>5-12</td>\n",
+       "      <td>&lt;7.5</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Fallot</td>\n",
+       "      <td>no</td>\n",
+       "      <td>0-3_days</td>\n",
+       "      <td>no</td>\n",
+       "      <td>Lt_to_Rt</td>\n",
+       "      <td>Complete</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Low</td>\n",
+       "      <td>no</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>freq</th>\n",
+       "      <td>14602</td>\n",
+       "      <td>14591</td>\n",
+       "      <td>7831</td>\n",
+       "      <td>12210</td>\n",
+       "      <td>4497</td>\n",
+       "      <td>13179</td>\n",
+       "      <td>12013</td>\n",
+       "      <td>7085</td>\n",
+       "      <td>7254</td>\n",
+       "      <td>12581</td>\n",
+       "      <td>4925</td>\n",
+       "      <td>5936</td>\n",
+       "      <td>12613</td>\n",
+       "      <td>10767</td>\n",
+       "      <td>12173</td>\n",
+       "      <td>8209</td>\n",
+       "      <td>8442</td>\n",
+       "      <td>12178</td>\n",
+       "      <td>7283</td>\n",
+       "      <td>11434</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       BirthAsphyxia HypDistrib HypoxiaInO2     CO2  ChestXray Grunting  \\\n",
+       "count          15000      15000       15000   15000      15000    15000   \n",
+       "unique             2          2           3       3          5        2   \n",
+       "top               no      Equal    Moderate  Normal  Oligaemic       no   \n",
+       "freq           14602      14591        7831   12210       4497    13179   \n",
+       "\n",
+       "       LVHreport LowerBodyO2  RUQO2 CO2Report XrayReport Disease  \\\n",
+       "count      15000       15000  15000     15000      15000   15000   \n",
+       "unique         2           3      3         2          5       6   \n",
+       "top           no        5-12   5-12      <7.5     Normal  Fallot   \n",
+       "freq       12013        7085   7254     12581       4925    5936   \n",
+       "\n",
+       "       GruntingReport       Age    LVH  DuctFlow CardiacMixing LungParench  \\\n",
+       "count           15000     15000  15000      9311         14273       15000   \n",
+       "unique              2         3      2         2             3           3   \n",
+       "top                no  0-3_days     no  Lt_to_Rt      Complete      Normal   \n",
+       "freq            12613     10767  12173      8209          8442       12178   \n",
+       "\n",
+       "       LungFlow   Sick  \n",
+       "count     15000  15000  \n",
+       "unique        3      2  \n",
+       "top         Low     no  \n",
+       "freq       7283  11434  "
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "custom_percentiles = [0.1, 0.25, 0.5, 0.75, 0.99]\n",
+    "description = df.describe(percentiles=custom_percentiles, include='all')\n",
+    "description\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1dff2ea9",
+   "metadata": {},
+   "source": [
+    "__As there is no Numerics therefore its not possible to Find Mean Median Mode and likes__"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4b93a885",
+   "metadata": {},
+   "source": [
+    "<Font size = \"5\">**Metabolic Syndrome Prediction | 2. EDA**</Font>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "60609ce4",
+   "metadata": {},
+   "source": [
+    "-> Perform Univariate and Multivariate analysis and draw conclusions from there.\n",
+    "\n",
+    "-> Explore Correlation Matrix(can try different methods and search if they give the same conclusion and why)\n",
+    "\n",
+    "-> Check the distribution(skewness) of the columns\n",
+    "\n",
+    "-> Detect Outliers(don't remove)\n",
+    "\n",
+    "-> Detect Class Label Imbalance"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a5578a98",
+   "metadata": {},
+   "source": [
+    "**1. Perform Univariate and Multivariate analysis and draw conclusions from there.**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "b33188cb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='BirthAsphyxia', ylabel='Count'>"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.histplot(df['BirthAsphyxia'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "19493ea4",
+   "metadata": {},
+   "source": [
+    "Birth asphyxia affects fewer than 2000 children, while over 14,000 newborns do not experience it."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "a8fa3411",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='CardiacMixing', ylabel='Count'>"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.histplot(df['CardiacMixing'] , kde = True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ffde545e",
+   "metadata": {},
+   "source": [
+    "Among these cases, fewer than 5000 involve transportation. Approximately 1000 fall into the category of mid-level Cardiac Mixing, while over 8000 are considered complete."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "bdc06208",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='CO2Report', ylabel='Count'>"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.histplot(df['CO2Report'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "50d629f4",
+   "metadata": {},
+   "source": [
+    "The CO2 report graph indicates that over 12,000 cases show values less than\n",
+    "7.5\n",
+    "while less than 4,000 cases exhibit values equal to or greater than 7.5 posing higher level of CO2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "029726c1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='Age', ylabel='Count'>"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.histplot(df['Age'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e35d2760",
+   "metadata": {},
+   "source": [
+    "More than 10,000 babies are aged 0-3 days, while over 2,000 fall within the range of 4-10 days. Less than 2,000 babies are aged 11-30 days."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "ed1d37b3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='CO2', ylabel='Count'>"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1500x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.histplot(df['CO2'] , kde = True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9fcfc6fd",
+   "metadata": {},
+   "source": [
+    "The CO2 graph indicates that over 12,000 cases exhibit normal levels, while more than 2,000 cases show high levels, and less than 2,000 cases demonstrate low levels."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "a2d628d9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x20173774690>"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.displot(df['ChestXray'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3f37be28",
+   "metadata": {},
+   "source": [
+    "The Chest X-ray graph illustrates that more than 4,000 cases are classified as normal, while less than 4,000 cases are categorized as plethoric. Additionally, there are at least 1,000 cases graded as Grd_Glass, more than 4,000 cases identified as Oligaemic, and over 1,000 cases described as Asy/Patch."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "f51a1312",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x20173777ad0>"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.displot(df['Disease'] )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fc8d8605",
+   "metadata": {},
+   "source": [
+    "The Disease graph illustrates that there are over 4,000 cases of TGA, Lesser than 4000 of PAIVS,  while less than or equal to 6,000 cases are classified as Fallot. Additionally, there are fewer than 1,000 cases each of PFC, TAPVD, and LUNG."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "12f484cb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: ylabel='DuctFlow'>"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.barplot(df['DuctFlow'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3ee2ad79",
+   "metadata": {},
+   "source": [
+    "The Ductflow graph indicates that between 7,000 and 8,000 cases exhibit either left-to-right or right-to-left flow. Notably, left-to-right flow appears to have a higher probability within this range."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "d7734522",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x20175bb01d0>"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.displot(df['Grunting'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "65e65d53",
+   "metadata": {},
+   "source": [
+    " fewer than 2,000 cases indicate Grunting while over 12,000 cases indicate does not"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "719c16af",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x20175b9b710>"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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p6SlPT09XtwEAuIEZeyUdGBgoSSooKHA6XlBQYI0FBgaqsLDQafzMmTMqKipyqjnfHOee40I1VeMAALiCsSEdFhamwMBAZWRkWMccDoeysrIUFRUlSYqKilJxcbGys7Otmk2bNqmiokKRkZFWzZYtW1ReXm7VpKenq02bNmrSpIlVc+55qmqqzgMAgCu4NKRPnjypnJwc5eTkSPr5w2I5OTnKz8+XzWbTmDFj9Morr+ijjz7Snj17NGLECAUHB1ufAA8PD9eAAQM0cuRIbdu2TZ9//rkSExM1dOhQBQcHS5KGDRsmDw8PxcfHa+/evVq5cqXmzZuncePGWX0899xzSktL0+zZs7V//35NmzZNO3bsUGJi4rX+kQAAYHHpPekdO3aob9++1n5VcD722GNKTU3VxIkTderUKY0aNUrFxcXq1auX0tLS5OXlZb1m+fLlSkxMVL9+/eTm5qYhQ4Zo/vz51rivr682bNighIQERUREqFmzZkpOTnZ6lrpnz55asWKFpkyZoj/+8Y9q1aqVVq9erQ4dOlyDnwIAAOdnzHPS1zuHwyFfX1+ekwZ+geekgZoz9p40AAB1HSENAIChCGkAAAxFSAMAYChCGgAAQxHSAAAYipAGAMBQhDQAAIYipAEAMBQhDQCAoQhpAAAMRUgDAGAoQhoAAEMR0gAAGIqQBgDAUIQ0AACGIqQBADAUIQ0AgKEIaQAADEVIAwBgKEIaAABDEdIAABiKkAYAwFCENAAAhiKkAQAwFCENAIChCGkAAAxFSAMAYChCGgAAQxHSAAAYipAGAMBQhDQAAIYipAEAMBQhDQCAoQhpAAAMRUgDAGAoQhoAAEMR0gAAGIqQBgDAUIQ0AACGqlFI33rrrfr++++rHS8uLtatt956xU0BAIAahvShQ4d09uzZasdLS0t19OjRK24KAABI7pdT/NFHH1n/vX79evn6+lr7Z8+eVUZGhlq2bFlrzQEAUJddVkjHxsZKkmw2mx577DGnsfr166tly5aaPXt2rTUHAEBddllvd1dUVKiiokKhoaEqLCy09isqKlRaWqq8vDzde++9tdbc2bNnNXXqVIWFhalBgwa67bbb9Kc//UmVlZVWTWVlpZKTkxUUFKQGDRooOjpaBw4ccJqnqKhIcXFx8vHxkZ+fn+Lj43Xy5Emnmt27d+vuu++Wl5eXQkJCNHPmzFpbBwAANVGje9IHDx5Us2bNaruXal5//XUtWrRICxYs0L59+/T6669r5syZeuutt6yamTNnav78+UpJSVFWVpa8vb0VExOj06dPWzVxcXHau3ev0tPTtWbNGm3ZskWjRo2yxh0Oh/r3768WLVooOztbs2bN0rRp07R48eKrvkYAAC7kst7uPldGRoYyMjKsK+pzLVmy5Iobk6StW7fqvvvu06BBgyRJLVu21Lvvvqtt27ZJ+vkqeu7cuZoyZYruu+8+SdI777yjgIAArV69WkOHDtW+ffuUlpam7du3q1u3bpKkt956SwMHDtQbb7yh4OBgLV++XGVlZVqyZIk8PDzUvn175eTkaM6cOU5hDgDAtVSjK+mXXnpJ/fv3V0ZGho4fP64TJ044bbWlZ8+eysjI0Ndffy1J+vLLL/XZZ5/pnnvukfTzFb3dbld0dLT1Gl9fX0VGRiozM1OSlJmZKT8/PyugJSk6Olpubm7Kysqyanr37i0PDw+rJiYmRnl5eRdcT2lpqRwOh9MGAEBtqtGVdEpKilJTUzV8+PDa7sfJCy+8IIfDobZt26pevXo6e/aspk+frri4OEmS3W6XJAUEBDi9LiAgwBqz2+1q3ry507i7u7v8/f2dasLCwqrNUTXWpEmTar3NmDFDL730Ui2sEgCA86vRlXRZWZl69uxZ271U8/7772v58uVasWKFdu7cqWXLlumNN97QsmXLrvq5f01SUpJKSkqs7ciRI65uCQBwg6lRSD/11FNasWJFbfdSzYQJE/TCCy9o6NCh6tixo4YPH66xY8dqxowZkqTAwEBJUkFBgdPrCgoKrLHAwEAVFhY6jZ85c0ZFRUVONeeb49xz/JKnp6d8fHycNgAAalON3u4+ffq0Fi9erI0bN+qOO+5Q/fr1ncbnzJlTK839+OOPcnNz/ndEvXr1rA+qhYWFKTAwUBkZGercubOknz+pnZWVpWeeeUaSFBUVpeLiYmVnZysiIkKStGnTJlVUVCgyMtKqmTx5ssrLy621pKenq02bNud9qxsAgGuhRiG9e/duKxRzc3Odxmw22xU3VWXw4MGaPn26QkND1b59e+3atUtz5szRk08+aZ1rzJgxeuWVV9SqVSuFhYVp6tSpCg4Otr54JTw8XAMGDNDIkSOVkpKi8vJyJSYmaujQoQoODpYkDRs2TC+99JLi4+M1adIk5ebmat68eXrzzTdrbS0AAFyuGoX0xx9/XNt9nNdbb72lqVOn6v/9v/+nwsJCBQcH6+mnn1ZycrJVM3HiRJ06dUqjRo1ScXGxevXqpbS0NHl5eVk1y5cvV2Jiovr16yc3NzcNGTJE8+fPt8Z9fX21YcMGJSQkKCIiQs2aNVNycjKPXwEAXMpWee7Xd6HGHA6HfH19VVJSckX3p3fu3KmIiAj9bvJS+Ye2qcUOAdcoys9T+vQnlJ2dra5du7q6HeC6UqMr6b59+170be1NmzbVuCEAAPCzGoV01f3oKuXl5crJyVFubm61X7wBAABqpkYhfaEPVE2bNq3aL64AAAA1U6PnpC/k0UcfrbXv7QYAoK6r1ZDOzMx0+lQ1AACouRq93f3AAw847VdWVurYsWPasWOHpk6dWiuNAQBQ19UopH19fZ323dzc1KZNG7388svq379/rTQGAEBdV6OQXrp0aW33AQAAfqFGIV0lOztb+/btkyS1b99eXbp0qZWmAABADUO6sLBQQ4cO1ebNm+Xn5ydJKi4uVt++ffXee+/ppptuqs0eAQCok2r06e7Ro0frhx9+0N69e1VUVKSioiLl5ubK4XDo2Wefre0eAQCok2p0JZ2WlqaNGzcqPDzcOtauXTstXLiQD44BAFBLanQlXVFRUe13SEtS/fr1rd/1DAAArkyNQvq3v/2tnnvuOX377bfWsaNHj2rs2LHq169frTUHAEBdVqOQXrBggRwOh1q2bKnbbrtNt912m8LCwuRwOPTWW2/Vdo8AANRJNbonHRISop07d2rjxo3av3+/JCk8PFzR0dG12hwAAHXZZV1Jb9q0Se3atZPD4ZDNZtPvfvc7jR49WqNHj9add96p9u3b69NPP71avQIAUKdcVkjPnTtXI0eOlI+PT7UxX19fPf3005ozZ06tNQcAQF12WSH95ZdfasCAARcc79+/v7Kzs6+4KQAAcJkhXVBQcN5Hr6q4u7vru+++u+KmAADAZYb0zTffrNzc3AuO7969W0FBQVfcFAAAuMyQHjhwoKZOnarTp09XG/vpp5/04osv6t5776215gAAqMsu6xGsKVOm6MMPP1Tr1q2VmJioNm3aSJL279+vhQsX6uzZs5o8efJVaRQAgLrmskI6ICBAW7du1TPPPKOkpCRVVlZKkmw2m2JiYrRw4UIFBARclUYBAKhrLvvLTFq0aKF169bpxIkT+uabb1RZWalWrVqpSZMmV6M/AADqrBp945gkNWnSRHfeeWdt9gIAAM5Ro+/uBgAAVx8hDQCAoQhpAAAMRUgDAGAoQhoAAEMR0gAAGIqQBgDAUIQ0AACGIqQBADAUIQ0AgKEIaQAADEVIAwBgKEIaAABDEdIAABiKkAYAwFCENAAAhiKkAQAwFCENAIChCGkAAAxlfEgfPXpUjz76qJo2baoGDRqoY8eO2rFjhzVeWVmp5ORkBQUFqUGDBoqOjtaBAwec5igqKlJcXJx8fHzk5+en+Ph4nTx50qlm9+7duvvuu+Xl5aWQkBDNnDnzmqwPAIALMTqkT5w4obvuukv169fXP//5T3311VeaPXu2mjRpYtXMnDlT8+fPV0pKirKysuTt7a2YmBidPn3aqomLi9PevXuVnp6uNWvWaMuWLRo1apQ17nA41L9/f7Vo0ULZ2dmaNWuWpk2bpsWLF1/T9QIAcC53VzdwMa+//rpCQkK0dOlS61hYWJj135WVlZo7d66mTJmi++67T5L0zjvvKCAgQKtXr9bQoUO1b98+paWlafv27erWrZsk6a233tLAgQP1xhtvKDg4WMuXL1dZWZmWLFkiDw8PtW/fXjk5OZozZ45TmAMAcC0ZfSX90UcfqVu3bnrooYfUvHlzdenSRW+//bY1fvDgQdntdkVHR1vHfH19FRkZqczMTElSZmam/Pz8rICWpOjoaLm5uSkrK8uq6d27tzw8PKyamJgY5eXl6cSJE+ftrbS0VA6Hw2kDAKA2GR3S//73v7Vo0SK1atVK69ev1zPPPKNnn31Wy5YtkyTZ7XZJUkBAgNPrAgICrDG73a7mzZs7jbu7u8vf39+p5nxznHuOX5oxY4Z8fX2tLSQk5ApXCwCAM6NDuqKiQl27dtWrr76qLl26aNSoURo5cqRSUlJc3ZqSkpJUUlJibUeOHHF1SwCAG4zRIR0UFKR27do5HQsPD1d+fr4kKTAwUJJUUFDgVFNQUGCNBQYGqrCw0Gn8zJkzKioqcqo53xznnuOXPD095ePj47QBAFCbjA7pu+66S3l5eU7Hvv76a7Vo0ULSzx8iCwwMVEZGhjXucDiUlZWlqKgoSVJUVJSKi4uVnZ1t1WzatEkVFRWKjIy0arZs2aLy8nKrJj09XW3atHH6JDkAANeS0SE9duxYffHFF3r11Vf1zTffaMWKFVq8eLESEhIkSTabTWPGjNErr7yijz76SHv27NGIESMUHBys2NhYST9feQ8YMEAjR47Utm3b9PnnnysxMVFDhw5VcHCwJGnYsGHy8PBQfHy89u7dq5UrV2revHkaN26cq5YOAIDZj2DdeeedWrVqlZKSkvTyyy8rLCxMc+fOVVxcnFUzceJEnTp1SqNGjVJxcbF69eqltLQ0eXl5WTXLly9XYmKi+vXrJzc3Nw0ZMkTz58+3xn19fbVhwwYlJCQoIiJCzZo1U3JyMo9fAQBcylZZWVnp6iZuBA6HQ76+viopKbmi+9M7d+5URESEfjd5qfxD29Rih4BrFOXnKX36E8rOzlbXrl1d3Q5wXTH67W4AAOoyQhoAAEMR0gAAGIqQBgDAUIQ0AACGIqQBADAUIQ0AgKEIaQAADEVIAwBgKEIaAABDEdIAABiKkAYAwFCENAAAhiKkAQAwFCENAIChCGkAAAxFSAMAYChCGgAAQxHSAAAYipAGAMBQhDQAAIYipAEAMBQhDQCAoQhpAAAMRUgDAGAoQhoAAEMR0gAAGIqQBgDAUIQ0AACGIqQBADAUIQ0AgKEIaQAADEVIAwBgKEIaAABDEdIAABiKkAYAwFCENAAAhiKkAQAwFCENAIChCGkAAAxFSAMAYChCGgAAQxHSAAAYipAGAMBQhDQAAIa6rkL6tddek81m05gxY6xjp0+fVkJCgpo2bapGjRppyJAhKigocHpdfn6+Bg0apIYNG6p58+aaMGGCzpw541SzefNmde3aVZ6enrr99tuVmpp6DVYEAMCFXTchvX37dv3P//yP7rjjDqfjY8eO1T/+8Q998MEH+uSTT/Ttt9/qgQcesMbPnj2rQYMGqaysTFu3btWyZcuUmpqq5ORkq+bgwYMaNGiQ+vbtq5ycHI0ZM0ZPPfWU1q9ff83WBwDAL10XIX3y5EnFxcXp7bffVpMmTazjJSUl+stf/qI5c+bot7/9rSIiIrR06VJt3bpVX3zxhSRpw4YN+uqrr/S3v/1NnTt31j333KM//elPWrhwocrKyiRJKSkpCgsL0+zZsxUeHq7ExEQ9+OCDevPNNy/YU2lpqRwOh9MGAEBtui5COiEhQYMGDVJ0dLTT8ezsbJWXlzsdb9u2rUJDQ5WZmSlJyszMVMeOHRUQEGDVxMTEyOFwaO/evVbNL+eOiYmx5jifGTNmyNfX19pCQkKueJ0AAJzL+JB+7733tHPnTs2YMaPamN1ul4eHh/z8/JyOBwQEyG63WzXnBnTVeNXYxWocDod++umn8/aVlJSkkpISazty5EiN1gcAwIW4u7qBizly5Iiee+45paeny8vLy9XtOPH09JSnp6er2wAA3MCMvpLOzs5WYWGhunbtKnd3d7m7u+uTTz7R/Pnz5e7uroCAAJWVlam4uNjpdQUFBQoMDJQkBQYGVvu0d9X+r9X4+PioQYMGV2l1AABcnNEh3a9fP+3Zs0c5OTnW1q1bN8XFxVn/Xb9+fWVkZFivycvLU35+vqKioiRJUVFR2rNnjwoLC62a9PR0+fj4qF27dlbNuXNU1VTNAQCAKxj9dnfjxo3VoUMHp2Pe3t5q2rSpdTw+Pl7jxo2Tv7+/fHx8NHr0aEVFRalHjx6SpP79+6tdu3YaPny4Zs6cKbvdrilTpighIcF6u/oPf/iDFixYoIkTJ+rJJ5/Upk2b9P7772vt2rXXdsEAAJzD6JC+FG+++abc3Nw0ZMgQlZaWKiYmRv/93/9tjderV09r1qzRM888o6ioKHl7e+uxxx7Tyy+/bNWEhYVp7dq1Gjt2rObNm6dbbrlFf/7znxUTE+OKJQEAIOk6DOnNmzc77Xt5eWnhwoVauHDhBV/TokULrVu37qLz9unTR7t27aqNFgEAqBVG35MGAKAuI6QBADAUIQ0AgKEIaQAADEVIAwBgKEIaAABDEdIAABiKkAYAwFCENAAAhiKkAQAwFCENAIChCGkAAAxFSAMAYChCGgAAQxHSAAAYipAGAMBQhDQAAIYipAEAMBQhDQCAoQhpAAAMRUgDAGAoQhoAAEMR0gAAGIqQBgDAUIQ0AACGIqQBADAUIQ0AgKEIaQAADEVIAwBgKEIaAABDEdIAABiKkAYAwFCENAAAhiKkAQAwFCENAIChCGkAAAxFSAMAYChCGgAAQxHSAAAYipAGAMBQhDQAAIYipAEAMBQhDQCAoQhpAAAMRUgDAGAoo0N6xowZuvPOO9W4cWM1b95csbGxysvLc6o5ffq0EhIS1LRpUzVq1EhDhgxRQUGBU01+fr4GDRqkhg0bqnnz5powYYLOnDnjVLN582Z17dpVnp6euv3225Wamnq1lwcAwEUZHdKffPKJEhIS9MUXXyg9PV3l5eXq37+/Tp06ZdWMHTtW//jHP/TBBx/ok08+0bfffqsHHnjAGj979qwGDRqksrIybd26VcuWLVNqaqqSk5OtmoMHD2rQoEHq27evcnJyNGbMGD311FNav379NV0vAADnslVWVla6uolL9d1336l58+b65JNP1Lt3b5WUlOimm27SihUr9OCDD0qS9u/fr/DwcGVmZqpHjx765z//qXvvvVfffvutAgICJEkpKSmaNGmSvvvuO3l4eGjSpElau3atcnNzrXMNHTpUxcXFSktLO28vpaWlKi0ttfYdDodCQkJUUlIiHx+fGq9x586dioiI0O8mL5V/aJsazwOYoig/T+nTn1B2dra6du3q6naA64rRV9K/VFJSIkny9/eXJGVnZ6u8vFzR0dFWTdu2bRUaGqrMzExJUmZmpjp27GgFtCTFxMTI4XBo7969Vs25c1TVVM1xPjNmzJCvr6+1hYSE1M4iAQD4P9dNSFdUVGjMmDG666671KFDB0mS3W6Xh4eH/Pz8nGoDAgJkt9utmnMDumq8auxiNQ6HQz/99NN5+0lKSlJJSYm1HTly5IrXCADAudxd3cClSkhIUG5urj777DNXtyJJ8vT0lKenp6vbAADcwK6LK+nExEStWbNGH3/8sW655RbreGBgoMrKylRcXOxUX1BQoMDAQKvml5/2rtr/tRofHx81aNCgtpcDAMAlMTqkKysrlZiYqFWrVmnTpk0KCwtzGo+IiFD9+vWVkZFhHcvLy1N+fr6ioqIkSVFRUdqzZ48KCwutmvT0dPn4+Khdu3ZWzblzVNVUzQEAgCsY/XZ3QkKCVqxYof/93/9V48aNrXvIvr6+atCggXx9fRUfH69x48bJ399fPj4+Gj16tKKiotSjRw9JUv/+/dWuXTsNHz5cM2fOlN1u15QpU5SQkGC9Xf2HP/xBCxYs0MSJE/Xkk09q06ZNev/997V27VqXrR0AAKOvpBctWqSSkhL16dNHQUFB1rZy5Uqr5s0339S9996rIUOGqHfv3goMDNSHH35ojderV09r1qxRvXr1FBUVpUcffVQjRozQyy+/bNWEhYVp7dq1Sk9PV6dOnTR79mz9+c9/VkxMzDVdLwAA5zL6SvpSHuH28vLSwoULtXDhwgvWtGjRQuvWrbvoPH369NGuXbsuu0cAAK4Wo6+kAQCoywhpAAAMRUgDAGAoQhoAAEMR0gAAGIqQBgDAUIQ0AACGIqQBADAUIQ0AgKEIaQAADEVIAwBgKEIaAABDEdIAABiKkAYAwFCENAAAhiKkAQAwFCENAIChCGkAAAxFSAMAYChCGgAAQxHSAAAYipAGAMBQhDQAAIYipAEAMBQhDQCAoQhpAAAMRUgDAGAoQhoAAEMR0gAAGIqQBgDAUIQ0AACGIqQBADAUIQ0AgKEIaQAADEVIAwBgKHdXNwCgbti3b5+rWwBqRbNmzRQaGnpNzkVIA7iqfir5XpJNjz76qKtbAWpFgwYNtX//vmsS1IQ0gKuq/McfJFWq87BJuimsravbAa6I49ghZS15ScePHyekAdw4GjUPlX9oG1e3AVxX+OAYAACGIqQBADAUIQ0AgKEIaQAADEVIAwBgKEL6FxYuXKiWLVvKy8tLkZGR2rZtm6tbAgDUUYT0OVauXKlx48bpxRdf1M6dO9WpUyfFxMSosLDQ1a0BAOogQvocc+bM0ciRI/XEE0+oXbt2SklJUcOGDbVkyRJXtwYAqIP4MpP/U1ZWpuzsbCUlJVnH3NzcFB0drczMzGr1paWlKi0ttfZLSkokSQ6H44r6OHnypCSp6HCezpT+dEVzASZwHDssSSo5ekD13W0u7ga4Mg57vqSf/66+0r/vJalx48ay2S7y/0UlKisrKyuPHj1aKaly69atTscnTJhQ2b1792r1L774YqUkNjY2Nja2Gm8lJSUXzSaupGsoKSlJ48aNs/YrKipUVFSkpk2bXvxfRTCCw+FQSEiIjhw5Ih8fH1e3A1wx/kxfnxo3bnzRcUL6/zRr1kz16tVTQUGB0/GCggIFBgZWq/f09JSnp6fTMT8/v6vZIq4CHx8f/kLDDYU/0zcWPjj2fzw8PBQREaGMjAzrWEVFhTIyMhQVFeXCzgAAdRVX0ucYN26cHnvsMXXr1k3du3fX3LlzderUKT3xxBOubg0AUAcR0ud4+OGH9d133yk5OVl2u12dO3dWWlqaAgICXN0aapmnp6defPHFarcsgOsVf6ZvTLbKyspKVzcBAACq4540AACGIqQBADAUIQ0AgKEIaaCG+vTpozFjxri6DeCaOXTokGw2m3JyclzdSp1BSOO68/jjj8tms1XbBgwY4OrWACcX+odcamoqX36ES8IjWLguDRgwQEuXLnU6xqMnAG40XEnjuuTp6anAwECnrUmTJpKkAwcOqHfv3vLy8lK7du2Unp4um82m1atXS5I2b94sm82m4uJia76cnBzZbDYdOnRIkvT999/rkUce0c0336yGDRuqY8eOevfdd6/xKlEXPP7444qNjdUbb7yhoKAgNW3aVAkJCSovL7dqSktL9fzzz+vmm2+Wt7e3IiMjtXnzZqd5UlNTFRoaqoYNG+r+++/X7Nmzna7Wq85zrjFjxqhPnz7Wflpamnr16iU/Pz81bdpU9957r/71r39dhVXjUhHSuKFUVFTogQcekIeHh7KyspSSkqJJkyZd9jynT59WRESE1q5dq9zcXI0aNUrDhw/Xtm3brkLXqOs+/vhj/etf/9LHH3+sZcuWKTU1VampqdZ4YmKiMjMz9d5772n37t166KGHNGDAAB04cECSlJWVpfj4eCUmJionJ0d9+/bVK6+8ctl9nDp1SuPGjdOOHTuUkZEhNzc33X///aqoqKitpeIy8XY3rktr1qxRo0aNnI798Y9/VLdu3bR//36tX79ewcHBkqRXX31V99xzz2XNf/PNN+v555+39kePHq3169fr/fffV/fu3a98AcA5mjRpogULFqhevXpq27atBg0apIyMDI0cOVL5+flaunSp8vPzrT/Tzz//vNLS0rR06VK9+uqrmjdvngYMGKCJEydKklq3bq2tW7cqLS3tsvoYMmSI0/6SJUt000036auvvlKHDh1qZ7G4LIQ0rkt9+/bVokWLnI75+/vrr3/9q0JCQqy/zCTV6BeknD17Vq+++qref/99HT16VGVlZSotLVXDhg2vuHfgl9q3b6969epZ+0FBQdqzZ48kac+ePTp79qxat27t9JrS0lI1bdpUkrRv3z7df//9TuNRUVGXHdIHDhxQcnKysrKydPz4cesKOj8/n5B2EUIa1yVvb2/dfvvtNXqtm9vPd3nO/Ubcc+//SdKsWbM0b948zZ07Vx07dpS3t7fGjBmjsrKymjeNOsfHx0clJSXVjhcXF8vX19far1+/vtO4zWazAvLkyZOqV6+esrOznYJcUrV3ky7Gzc1Nv/wW6F/+uR88eLBatGiht99+W8HBwaqoqFCHDh34c+9ChDRuKOHh4Tpy5IiOHTumoKAgSdIXX3zhVHPTTTdJko4dO2Z92OyXz31+/vnnuu+++/Too49K+vle99dff6127dpd5RXgRtKmTRtt2LCh2vGdO3dWuzK+kC5duujs2bMqLCzU3Xfffd6a8PBwZWVlOR0735/73Nxcp2M5OTnWPxC+//575eXl6e2337bO89lnn11Sj7h6+OAYrkulpaWy2+1O2/HjxxUdHa3WrVvrscce05dffqlPP/1UkydPdnrt7bffrpCQEE2bNk0HDhzQ2rVrNXv2bKeaVq1aKT09XVu3btW+ffv09NNPq6Cg4FouETeAZ555Rl9//bWeffZZ7d69W3l5eZozZ47effddjR8//pLmaN26teLi4jRixAh9+OGHOnjwoLZt26YZM2Zo7dq1kqRnn31WaWlpeuONN3TgwAEtWLCg2lvdv/3tb7Vjxw698847OnDggF588UWn0G7SpImaNm2qxYsX65tvvtGmTZs0bty42vthoEYIaVyX0tLSFBQU5LT16tVLbm5uWrVqlX766Sd1795dTz31lKZPn+702vr16+vdd9/V/v37dccdd+j111+v9knYKVOmqGvXroqJiVGfPn0UGBhY7fEV4Nfceuut2rJli/bv36/o6GhFRkbq/fff1wcffHBZX76zdOlSjRgxQuPHj1ebNm0UGxur7du3KzQ0VJLUo0cPvf3225o3b546deqkDRs2aMqUKU5zxMTEaOrUqZo4caLuvPNO/fDDDxoxYoQ17ubmpvfee0/Z2dnq0KGDxo4dq1mzZtXODwI1xq+qRJ1gs9m0atUqghZ1RmpqqsaMGeP0fQC4/nAlDQCAoQhpAAAMxdvdAAAYiitpAAAMRUgDAGAoQhoAAEMR0gAAGIqQBgDAUIQ0gGti2rRp6ty5c63Pu3nzZtlsNutLO1JTU+Xn51fr5wFcgZAGbkCPP/74eb9d7ZeBdqUOHTokm81mbY0bN1b79u2VkJCgAwcOONU+//zzysjIuKR5LyfQe/bsqWPHjjn9VingRkFIA7hiGzdu1LFjx/Tll1/q1Vdf1b59+9SpUyenUG7UqJH1+49rS3l5uTw8PBQYGCibzVarcwMmIKSBOujUqVPy8fHR3//+d6fjq1evlre3t3744QfrKvm9995Tz5495eXlpQ4dOuiTTz6pNl/Tpk0VGBioW2+9Vffdd582btyoyMhIxcfH6+zZs5KqXx1v3rxZ3bt3l7e3t/z8/HTXXXfp8OHDSk1N1UsvvaQvv/zSukJPTU2V9PN3sC9atEi///3v5e3trenTp1/w3YHVq1erVatW8vLyUkxMjI4cOVKrP0PgWiCkgTrI29tbQ4cO1dKlS52OL126VA8++KAaN25sHZswYYLGjx+vXbt2KSoqSoMHD9b3339/0fnd3Nz03HPP6fDhw8rOzq42fubMGcXGxuo3v/mNdu/erczMTI0aNUo2m00PP/ywxo8fr/bt2+vYsWM6duyYHn74Yeu106ZN0/333689e/boySefPO/5f/zxR02fPl3vvPOOPv/8cxUXF2vo0KGX8yMCjODu6gYAXB1r1qxRo0aNnI5VXdVK0lNPPWXdzw0KClJhYaHWrVunjRs3Or0mMTFRQ4YMkSQtWrRIaWlp+stf/qKJEyde9Pxt27aV9PN96+7duzuNORwOlZSU6N5779Vtt90mSQoPD7fGGzVqJHd3dwUGBlabd9iwYXriiSes/X//+9/VasrLy7VgwQJFRkZKkpYtW6bw8HBt27atWi+AybiSBm5Qffv2VU5OjtP25z//2Rrv3r272rdvr2XLlkmS/va3v6lFixbq3bu30zxRUVHWf7u7u6tbt27at2/fr56/6tcCnO9esb+/vx5//HHFxMRo8ODBmjdvno4dO3ZJ6+rWrduv1ri7u+vOO++09tu2bSs/P79L6hswCSEN3KC8vb11++23O20333yzU81TTz1l3e9dunSpnnjiiVr7AFZVIIaFhZ13fOnSpcrMzFTPnj21cuVKtW7dWl988cWvzuvt7V0r/QHXA0IaqMMeffRRHT58WPPnz9dXX32lxx57rFrNucF55swZZWdnO701fT4VFRWaP3++wsLC1KVLlwvWdenSRUlJSdq6das6dOigFStWSJI8PDyc3pq/XGfOnNGOHTus/by8PBUXF/9q34BpuCcN1GFNmjTRAw88oAkTJqh///665ZZbqtUsXLhQrVq1Unh4uN58802dOHGi2ge2vv/+e9ntdv3444/Kzc3V3LlztW3bNq1du1b16tWrNufBgwe1ePFi/f73v1dwcLDy8vJ04MABjRgxQpLUsmVLHTx4UDk5ObrlllvUuHFjeXp6XvK66tevr9GjR2v+/Plyd3dXYmKievTowf1oXHe4kgbquPj4eJWVlV3wk9KvvfaaXnvtNXXq1EmfffaZPvroIzVr1sypJjo6WkFBQerYsaNeeOEFhYeHa/fu3erbt+9552zYsKH279+vIUOGqHXr1ho1apQSEhL09NNPS5KGDBmiAQMGqG/fvrrpppv07rvvXtaaGjZsqEmTJmnYsGG666671KhRI61cufKy5gBMYKus+nQHgDrpr3/9q8aOHatvv/1WHh4e1vFDhw4pLCxMu3btuipf5wng1/F2N1BH/fjjjzp27Jhee+01Pf30004BDcAMvN0N1FEzZ85U27ZtFRgYqKSkJFe3A+A8eLsbAABDcSUNAIChCGkAAAxFSAMAYChCGgAAQxHSAAAYipAGAMBQhDQAAIYipAEAMNT/B+/LOD1pIopsAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.displot(df['HypDistrib'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0fec17ee",
+   "metadata": {},
+   "source": [
+    "\n",
+    "For \"HypDistribution,\" more than 14,000 cases show equality, while less than 2,000 cases show inequality in infants."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "ce9abb16",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x20175c15890>"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.displot(df['HypoxiaInO2'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a4ba9c3a",
+   "metadata": {},
+   "source": [
+    "fewer than 6,200 cases are categorized as severe, while fewer than 8,000 cases are categorized as moderate, and fewer than 2,000 cases are categorized as mild in case of Hypoxialn02"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "113de5bb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x20175d46250>"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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31rp16zPWNnXqVE2aNMm6bbfbCTUAoEEZHen3339fy5Yt0/Lly62noCdOnKjg4GCNGTPGpWvz9PSUp6enS9cAALi6GR3pyZMn67nnntPIkSMlSd26ddM333yjWbNmacyYMQoKCpIkFRcXq127dtb9iouL1bNnT0lSUFCQSkpKnI576tQplZaWWvcPCgpScXGx05y623VzAAC43Ix+Tfr48eNyd3deYpMmTVRbWytJCg0NVVBQkDIyMqxxu92u7OxsRURESJIiIiJUVlamnJwca87mzZtVW1urfv36WXMyMzNVXV1tzUlPT1enTp3O+lQ3AACXg9GRHjZsmF5++WWtW7dOX3/9tVatWqU5c+bod7/7nSTJzc1NEydO1EsvvaQ1a9Zo//79Gj16tIKDgxUTEyNJ6tKliwYPHqyxY8dq586d2r59uxISEjRy5EgFBwdLkh588EF5eHgoLi5OeXl5WrFihV5//XWn15wBALjcjH66e8GCBXrhhRf05JNPqqSkRMHBwfr973+vxMREa86UKVN07NgxjRs3TmVlZbrllluUlpYmLy8va86yZcuUkJCgyMhIubu7a8SIEZo/f7417uvrq40bNyo+Pl7h4eFq27atEhMTz/nxKwAALgc3x+lf34V6s9vt8vX1VXl5uXx8fOp9nD179ig8PFx3PP+2/Nt3asAVAq5RerhA6S8/opycHPXu3dvVywGuKEY/3Q0AQGNGpAEAMBSRBgDAUEQaAABDEWkAAAxFpAEAMBSRBgDAUEQaAABDEWkAAAxFpAEAMBSRBgDAUEQaAABDEWkAAAxFpAEAMBSRBgDAUEQaAABDEWkAAAxFpAEAMBSRBgDAUEQaAABDEWkAAAxFpAEAMBSRBgDAUEQaAABDEWkAAAxFpAEAMBSRBgDAUEQaAABDEWkAAAxFpAEAMBSRBgDAUEQaAABD1SvS11xzjf7v//7vjP1lZWW65pprLnpRAACgnpH++uuvVVNTc8b+yspKHTly5KIXBQAApKYXMnnNmjXWnzds2CBfX1/rdk1NjTIyMtSxY8cGWxwAAI3ZBUU6JiZGkuTm5qYxY8Y4jTVr1kwdO3bU7NmzG2xxAAA0ZhcU6draWklSaGiodu3apbZt216SRQEAgAuMdJ3CwsKGXgcAAPiZekVakjIyMpSRkaGSkhLrCrvOkiVLLnphAAA0dvWK9IwZMzRz5kz16dNH7dq1k5ubW0OvCwCARq9ekV60aJFSU1M1atSohl4PAAD4l3p9Trqqqko33XRTQ68FAACcpl6Rfuyxx7R8+fKGXgsAADhNvZ7uPnnypBYvXqxNmzape/fuatasmdP4nDlzGmRxAAA0ZvWK9L59+9SzZ09J0oEDB5zGeBMZAAANo16R/uSTTxp6HQAA4Gf4VZUAABiqXlfSt91223mf1t68eXO9FwQAAH5Sr0jXvR5dp7q6Wrm5uTpw4MAZv3gDAADUT70iPXfu3LPuT0pKUkVFxUUtCAAA/KRBX5N+6KGH+N5uAAAaSINGOisrS15eXg15SAAAGq16Pd199913O912OBz6/vvvtXv3br3wwgsNsjAAABq7ekXa19fX6ba7u7s6deqkmTNnatCgQQ2yMAAAGrt6Rfrtt99u6HUAAICfqVek6+Tk5Cg/P1+S1LVrV/Xq1atBFgUAAOr5xrGSkhLdfvvt6tu3ryZMmKAJEyYoPDxckZGR+uc//9mgCzxy5IgeeughtWnTRt7e3urWrZt2795tjTscDiUmJqpdu3by9vZWVFSUvvjiC6djlJaWKjY2Vj4+PvLz81NcXNwZHxXbt2+fbr31Vnl5eSkkJETJyckNeh4AAFyoekV6/Pjx+vHHH5WXl6fS0lKVlpbqwIEDstvtmjBhQoMt7ujRo7r55pvVrFkz/e1vf9PBgwc1e/ZstW7d2pqTnJys+fPna9GiRcrOzlaLFi0UHR2tkydPWnNiY2OVl5en9PR0rV27VpmZmRo3bpw1brfbNWjQIHXo0EE5OTl67bXXlJSUpMWLFzfYuQAAcKHq9XR3WlqaNm3apC5dulj7wsLClJKS0qBvHHv11VcVEhLi9Bp4aGio9WeHw6F58+Zp2rRpGj58uCTpnXfeUWBgoFavXq2RI0cqPz9faWlp2rVrl/r06SNJWrBggYYMGaI//elPCg4O1rJly1RVVaUlS5bIw8NDXbt2VW5urubMmeMUcwAALqd6XUnX1tae8TukJalZs2aqra296EXVWbNmjfr06aN7771XAQEB6tWrl9566y1rvLCwUDabTVFRUdY+X19f9evXT1lZWZJ++uy2n5+fFWhJioqKkru7u7Kzs605AwYMkIeHhzUnOjpaBQUFOnr06FnXVllZKbvd7rQBANCQ6hXp22+/XU899ZS+++47a9+RI0f09NNPKzIyssEW99VXX2nhwoW6/vrrtWHDBj3xxBOaMGGCli5dKkmy2WySpMDAQKf7BQYGWmM2m00BAQFO402bNpW/v7/TnLMd4/TH+LlZs2bJ19fX2kJCQi7ybAEAcFavSL/xxhuy2+3q2LGjrr32Wl177bUKDQ2V3W7XggULGmxxtbW16t27t/74xz+qV69eGjdunMaOHatFixY12GPU19SpU1VeXm5tRUVFrl4SAOAqU6/XpENCQrRnzx5t2rRJhw4dkiR16dLF6WnnhtCuXTuFhYU57evSpYs+/PBDSVJQUJAkqbi4WO3atbPmFBcXW7+pKygoSCUlJU7HOHXqlEpLS637BwUFqbi42GlO3e26OT/n6ekpT0/Pep4ZAAC/7IKupDdv3qywsDDZ7Xa5ubnpjjvu0Pjx4zV+/Hj17dtXXbt21bZt2xpscTfffLMKCgqc9v39739Xhw4dJP30JrKgoCBlZGRY43a7XdnZ2YqIiJAkRUREqKysTDk5OU7nUVtbq379+llzMjMzVV1dbc1JT09Xp06dnN5JDgDA5XRBkZ43b57Gjh0rHx+fM8Z8fX31+9//XnPmzGmwxT399NP67LPP9Mc//lFffvmlli9frsWLFys+Pl6S5ObmpokTJ+qll17SmjVrtH//fo0ePVrBwcGKiYmR9NOV9+DBgzV27Fjt3LlT27dvV0JCgkaOHKng4GBJ0oMPPigPDw/FxcUpLy9PK1as0Ouvv65JkyY12LkAAHChLijSe/fu1eDBg885PmjQIKcr1ovVt29frVq1Su+9955uuOEGvfjii5o3b55iY2OtOVOmTNH48eM1btw49e3bVxUVFUpLS3P6bVzLli1T586dFRkZqSFDhuiWW25x+gy0r6+vNm7cqMLCQoWHh+uZZ55RYmIiH78CALjUBb0mXVxcfNaPXlkHa9q0wb9x7K677tJdd911znE3NzfNnDlTM2fOPOccf39/LV++/LyP07179wZ9qh4AgIt1QVfSv/71r3XgwIFzju/bt8/pDVwAAKD+LijSQ4YM0QsvvOD0lZt1Tpw4oenTp5/3qhcAAPz7Lujp7mnTpmnlypX6j//4DyUkJKhTp06SpEOHDiklJUU1NTV6/vnnL8lCAQBobC4o0oGBgdqxY4eeeOIJTZ06VQ6HQ9JPrwtHR0crJSXljG/uAgAA9XPBX2bSoUMHrV+/XkePHtWXX34ph8Oh66+/ns8TAwDQwOr1jWOS1Lp1a/Xt27ch1wIAAE5Tr+/uBgAAlx6RBgDAUEQaAABDEWkAAAxFpAEAMBSRBgDAUEQaAABDEWkAAAxFpAEAMBSRBgDAUEQaAABDEWkAAAxFpAEAMBSRBgDAUEQaAABDEWkAAAxFpAEAMBSRBgDAUEQaAABDEWkAAAxFpAEAMBSRBgDAUEQaAABDEWkAAAxFpAEAMBSRBgDAUEQaAABDEWkAAAxFpAEAMBSRBgDAUEQaAABDEWkAAAxFpAEAMBSRBgDAUEQaAABDEWkAAAxFpAEAMBSRBgDAUEQaAABDEWkAAAxFpAEAMBSRBgDAUEQaAABDEWkAAAxFpAEAMBSRBgDAUEQaAABDEWkAAAxFpAEAMBSRBgDAUEQaAABDXVGRfuWVV+Tm5qaJEyda+06ePKn4+Hi1adNGLVu21IgRI1RcXOx0v8OHD2vo0KFq3ry5AgICNHnyZJ06dcppzpYtW9S7d295enrquuuuU2pq6mU4IwAAzu2KifSuXbv05ptvqnv37k77n376aX388cf64IMPtHXrVn333Xe6++67rfGamhoNHTpUVVVV2rFjh5YuXarU1FQlJiZacwoLCzV06FDddtttys3N1cSJE/XYY49pw4YNl+38AAD4uSsi0hUVFYqNjdVbb72l1q1bW/vLy8v1l7/8RXPmzNHtt9+u8PBwvf3229qxY4c+++wzSdLGjRt18OBBvfvuu+rZs6fuvPNOvfjii0pJSVFVVZUkadGiRQoNDdXs2bPVpUsXJSQk6J577tHcuXPPuabKykrZ7XanDQCAhnRFRDo+Pl5Dhw5VVFSU0/6cnBxVV1c77e/cubPat2+vrKwsSVJWVpa6deumwMBAa050dLTsdrvy8vKsOT8/dnR0tHWMs5k1a5Z8fX2tLSQk5KLPEwCA0xkf6f/93//Vnj17NGvWrDPGbDabPDw85Ofn57Q/MDBQNpvNmnN6oOvG68bON8dut+vEiRNnXdfUqVNVXl5ubUVFRfU6PwAAzqWpqxdwPkVFRXrqqaeUnp4uLy8vVy/Hiaenpzw9PV29DADAVczoK+mcnByVlJSod+/eatq0qZo2baqtW7dq/vz5atq0qQIDA1VVVaWysjKn+xUXFysoKEiSFBQUdMa7vetu/9IcHx8feXt7X6KzAwDg/IyOdGRkpPbv36/c3Fxr69Onj2JjY60/N2vWTBkZGdZ9CgoKdPjwYUVEREiSIiIitH//fpWUlFhz0tPT5ePjo7CwMGvO6ceom1N3DAAAXMHop7tbtWqlG264wWlfixYt1KZNG2t/XFycJk2aJH9/f/n4+Gj8+PGKiIhQ//79JUmDBg1SWFiYRo0apeTkZNlsNk2bNk3x8fHW09WPP/643njjDU2ZMkWPPvqoNm/erPfff1/r1q27vCcMAMBpjI70v2Pu3Llyd3fXiBEjVFlZqejoaP33f/+3Nd6kSROtXbtWTzzxhCIiItSiRQuNGTNGM2fOtOaEhoZq3bp1evrpp/X666/rN7/5jf785z8rOjraFacEAICkKzDSW7Zscbrt5eWllJQUpaSknPM+HTp00Pr168973IEDB+rzzz9viCUCANAgjH5NGgCAxoxIAwBgKCINAIChiDQAAIYi0gAAGIpIAwBgKCINAIChiDQAAIYi0gAAGIpIAwBgKCINAIChiDQAAIYi0gAAGIpIAwBgKCINAIChiDQAAIYi0gAAGIpIAwBgKCINAIChiDQAAIYi0gAAGIpIAwBgKCINAIChiDQAAIYi0gAAGIpIAwBgqKauXgCAxiE/P9/VSwAaRNu2bdW+ffvL8lhEGsAldaL8/yS56aGHHnL1UoAG4e3dXIcO5V+WUBNpAJdU9fEfJTnU88Fn9avQzq5eDnBR7N9/rewlM/TDDz8QaQBXj5YB7eXfvpOrlwFcUXjjGAAAhiLSAAAYikgDAGAoIg0AgKGINAAAhiLSAAAYikgDAGAoIg0AgKGINAAAhiLSAAAYikgDAGAoIg0AgKGINAAAhiLSAAAYikgDAGAoIg0AgKGINAAAhiLSAAAYikgDAGAoIg0AgKGINAAAhiLSAAAYikgDAGAoIg0AgKGINAAAhiLSAAAYikgDAGAooyM9a9Ys9e3bV61atVJAQIBiYmJUUFDgNOfkyZOKj49XmzZt1LJlS40YMULFxcVOcw4fPqyhQ4eqefPmCggI0OTJk3Xq1CmnOVu2bFHv3r3l6emp6667TqmpqZf69AAAOC+jI71161bFx8frs88+U3p6uqqrqzVo0CAdO3bMmvP000/r448/1gcffKCtW7fqu+++0913322N19TUaOjQoaqqqtKOHTu0dOlSpaamKjEx0ZpTWFiooUOH6rbbblNubq4mTpyoxx57TBs2bLis5wsAwOmaunoB55OWluZ0OzU1VQEBAcrJydGAAQNUXl6uv/zlL1q+fLluv/12SdLbb7+tLl266LPPPlP//v21ceNGHTx4UJs2bVJgYKB69uypF198Uc8++6ySkpLk4eGhRYsWKTQ0VLNnz5YkdenSRZ9++qnmzp2r6Ojos66tsrJSlZWV1m273X6JfgoAgMbK6CvpnysvL5ck+fv7S5JycnJUXV2tqKgoa07nzp3Vvn17ZWVlSZKysrLUrVs3BQYGWnOio6Nlt9uVl5dnzTn9GHVz6o5xNrNmzZKvr6+1hYSENMxJAgDwL1dMpGtrazVx4kTdfPPNuuGGGyRJNptNHh4e8vPzc5obGBgom81mzTk90HXjdWPnm2O323XixImzrmfq1KkqLy+3tqKioos+RwAATmf0092ni4+P14EDB/Tpp5+6eimSJE9PT3l6erp6GQCAq9gVcSWdkJCgtWvX6pNPPtFvfvMba39QUJCqqqpUVlbmNL+4uFhBQUHWnJ+/27vu9i/N8fHxkbe3d0OfDgAA/xajI+1wOJSQkKBVq1Zp8+bNCg0NdRoPDw9Xs2bNlJGRYe0rKCjQ4cOHFRERIUmKiIjQ/v37VVJSYs1JT0+Xj4+PwsLCrDmnH6NuTt0xAABwBaOf7o6Pj9fy5cv10UcfqVWrVtZryL6+vvL29pavr6/i4uI0adIk+fv7y8fHR+PHj1dERIT69+8vSRo0aJDCwsI0atQoJScny2azadq0aYqPj7eern788cf1xhtvaMqUKXr00Ue1efNmvf/++1q3bp3Lzh0AAKOvpBcuXKjy8nINHDhQ7dq1s7YVK1ZYc+bOnau77rpLI0aM0IABAxQUFKSVK1da402aNNHatWvVpEkTRURE6KGHHtLo0aM1c+ZMa05oaKjWrVun9PR09ejRQ7Nnz9af//znc378CgCAy8HoK2mHw/GLc7y8vJSSkqKUlJRzzunQoYPWr19/3uMMHDhQn3/++QWvEQCAS8XoK2kAABozIg0AgKGINAAAhiLSAAAYikgDAGAoIg0AgKGINAAAhiLSAAAYikgDAGAoIg0AgKGINAAAhiLSAAAYikgDAGAoIg0AgKGINAAAhiLSAAAYikgDAGAoIg0AgKGINAAAhiLSAAAYikgDAGAoIg0AgKGINAAAhiLSAAAYikgDAGAoIg0AgKGINAAAhiLSAAAYikgDAGAoIg0AgKGINAAAhiLSAAAYikgDAGAoIg0AgKGINAAAhiLSAAAYikgDAGAoIg0AgKGINAAAhiLSAAAYikgDAGAoIg0AgKGINAAAhiLSAAAYikgDAGAoIg0AgKGINAAAhiLSAAAYikgDAGAoIg0AgKGINAAAhiLSAAAYikgDAGAoIg0AgKGINAAAhiLSAAAYikj/TEpKijp27CgvLy/169dPO3fudPWSAACNFJE+zYoVKzRp0iRNnz5de/bsUY8ePRQdHa2SkhJXLw0A0AgR6dPMmTNHY8eO1SOPPKKwsDAtWrRIzZs315IlS1y9NABAI9TU1QswRVVVlXJycjR16lRrn7u7u6KiopSVlXXG/MrKSlVWVlq3y8vLJUl2u/2i1lFRUSFJKv2mQKcqT1zUsQAT2L//RpJUfuQLNWvq5uLVABfHbjss6ad/qy/233tJatWqldzczvPfhQMOh8PhOHLkiEOSY8eOHU77J0+e7LjxxhvPmD99+nSHJDY2NjY2tnpv5eXl520TV9L1NHXqVE2aNMm6XVtbq9LSUrVp0+b8/1cEI9jtdoWEhKioqEg+Pj6uXg5w0fg7fWVq1arVeceJ9L+0bdtWTZo0UXFxsdP+4uJiBQUFnTHf09NTnp6eTvv8/Pwu5RJxCfj4+PAPGq4q/J2+uvDGsX/x8PBQeHi4MjIyrH21tbXKyMhQRESEC1cGAGisuJI+zaRJkzRmzBj16dNHN954o+bNm6djx47pkUcecfXSAACNEJE+zf33369//vOfSkxMlM1mU8+ePZWWlqbAwEBXLw0NzNPTU9OnTz/jJQvgSsXf6auTm8PhcLh6EQAA4Ey8Jg0AgKGINAAAhiLSAAAYikgDAGAoIg0AgKGINAAAhiLSuKoNHDhQEyZM0JQpU+Tv76+goCAlJSVZ44cPH9bw4cPVsmVL+fj46L777jvjq2EBV3nnnXfUpk0bp9+4J0kxMTEaNWqUJOmjjz5S79695eXlpWuuuUYzZszQqVOnJEkOh0NJSUlq3769PD09FRwcrAkTJlz280D9EWlc9ZYuXaoWLVooOztbycnJmjlzptLT01VbW6vhw4ertLRUW7duVXp6ur766ivdf//9rl4yIEm69957VVNTozVr1lj7SkpKtG7dOj366KPatm2bRo8eraeeekoHDx7Um2++qdTUVL388suSpA8//FBz587Vm2++qS+++EKrV69Wt27dXHU6qAe+zARXtYEDB6qmpkbbtm2z9t144426/fbbFRkZqTvvvFOFhYUKCQmRJB08eFBdu3bVzp071bdvX1ctG7A8+eST+vrrr7V+/XpJ0pw5c5SSkqIvv/xSd9xxhyIjIzV16lRr/rvvvqspU6bou+++05w5c/Tmm2/qwIEDatasmatOAReBK2lc9bp37+50u127diopKVF+fr5CQkKsQEtSWFiY/Pz8lJ+ff7mXCZzV2LFjtXHjRh05ckSSlJqaqocfflhubm7au3evZs6cqZYtW1rb2LFj9f333+v48eO69957deLECV1zzTUaO3asVq1aZT0VjisD392Nq97PryDc3NxUW1vrotUAF6ZXr17q0aOH3nnnHQ0aNEh5eXlat26dJKmiokIzZszQ3Xfffcb9vLy8FBISooKCAm3atEnp6el68skn9dprr2nr1q1cWV8hiDQarS5duqioqEhFRUVOT3eXlZUpLCzMxasD/r/HHntM8+bN05EjRxQVFWX9fe3du7cKCgp03XXXnfO+3t7eGjZsmIYNG6b4+Hh17txZ+/fvV+/evS/X8nERiDQaraioKHXr1k2xsbGaN2+eTp06pSeffFK//e1v1adPH1cvD7A8+OCD+sMf/qC33npL77zzjrU/MTFRd911l9q3b6977rlH7u7u2rt3rw4cOKCXXnpJqampqqmpUb9+/dS8eXO9++678vb2VocOHVx4NrgQvCaNRsvNzU0fffSRWrdurQEDBigqKkrXXHONVqxY4eqlAU58fX01YsQItWzZUjExMdb+6OhorV27Vhs3blTfvn3Vv39/zZ0714qwn5+f3nrrLd18883q3r27Nm3apI8//lht2rRx0ZngQvHubgC4AkRGRqpr166aP3++q5eCy4hIA4DBjh49qi1btuiee+7RwYMH1alTJ1cvCZcRr0kDgMF69eqlo0eP6tVXXyXQjRBX0gAAGIo3jgEAYCgiDQCAoYg0AACGItIAABiKSAMAYCgiDQCAoYg0cJV7+OGHnb5Kcvbs2WrdurVOnjx5xtzjx4/Lx8fH+larjh07at68eWfMS0pKUs+ePS/RihvGlbBG4JcQaaCRGTVqlI4dO6aVK1eeMfbXv/5VVVVVeuihhy7qMaqqqi7q/hfD4XDwO5Nx1SDSQCMTEBCgYcOGacmSJWeMLVmyRDExMfL397+gY9Zdrb/88ssKDg62vhmrqKhI9913n/z8/OTv76/hw4fr66+/PuN+M2bM0K9+9Sv5+Pjo8ccfd4p8ZWWlJkyYoICAAHl5eemWW27Rrl27rPEtW7bIzc1Nf/vb3xQeHi5PT0+9++67mjFjhvbu3Ss3Nze5ubkpNTX1wn5QgAGINNAIxcXFafPmzfrmm2+sfV999ZUyMzMVFxdXr2NmZGSooKBA6enpWrt2raqrqxUdHa1WrVpp27Zt2r59u1q2bKnBgwc7RTgjI0P5+fnasmWL3nvvPa1cuVIzZsywxqdMmaIPP/xQS5cu1Z49e3TdddcpOjpapaWlTo//3HPP6ZVXXlF+fr7uuOMOPfPMM+ratau+//57ff/997r//vvrdV6ASzkAXNXGjBnjGD58uNO+U6dOOX796187pk+fbu174YUXHO3bt3fU1NRY+zp06ODw8PBwtGjRwmlr1qyZo0ePHk6PERgY6KisrLT2/c///I+jU6dOjtraWmtfZWWlw9vb27Fhwwbrfv7+/o5jx45ZcxYuXOho2bKlo6amxlFRUeFo1qyZY9myZdZ4VVWVIzg42JGcnOxwOByOTz75xCHJsXr1aqdznD59utMagSsRV9JAI9SkSRONGTNGqampcjgcqq2t1dKlS/XII4/I3d35n4XJkycrNzfXaXv88cfPOGa3bt3k4eFh3d67d6++/PJLtWrVSi1btlTLli3l7++vkydP6h//+Ic1r0ePHmrevLl1OyIiQhUVFSoqKtI//vEPVVdX6+abb7bGmzVrphtvvFH5+flOj9+nT5+L/rkApuG3YAGN1KOPPqpZs2Zp8+bNqq2tVVFRkR555JEz5rVt21bXXXed076zvWbdokULp9sVFRUKDw/XsmXLzpj7q1/96iJXf6afPz5wNSDSQCN17bXX6re//a2WLFkih8OhqKgodejQocGO37t3b61YsUIBAQHy8fE557y9e/fqxIkT8vb2liR99tlnatmypUJCQtS2bVt5eHho+/bt1tqqq6u1a9cuTZw48byP7+HhoZqamgY7H8AVeLobaATKy8vPeMq6qKhIcXFxWrlypVatWlXvN4ydS2xsrNq2bavhw4dr27ZtKiws1JYtWzRhwgR9++231ryqqirFxcXp4MGDWr9+vaZPn66EhAS5u7urRYsWeuKJJzR58mSlpaXp4MGDGjt2rI4fP/6L6+3YsaMKCwuVm5urH374QZWVlQ16fsDlwJU00Ahs2bJFvXr1ctoXFxenBQsWKCEhQU2aNHH6wpOG0Lx5c2VmZurZZ5/V3XffrR9//FG//vWvFRkZ6XRlHRkZqeuvv14DBgxQZWWlHnjgASUlJVnjr7zyimprazVq1Cj9+OOP6tOnjzZs2KDWrVuf9/FHjBihlStX6rbbblNZWZnefvttPfzwww16jsCl5uZwOByuXgSAxunhhx9WWVmZVq9e7eqlAEbi6W4AAAxFpAEAMBRPdwMAYCiupAEAMBSRBgDAUEQaAABDEWkAAAxFpAEAMBSRBgDAUEQaAABDEWkAAAz1/wCbbbHIk7kc6QAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.displot(df['LVHreport'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c7a7bc35",
+   "metadata": {},
+   "source": [
+    "In the LVHreport data, there are less than 4,000 cases indicating \"yes,\" while there are at least 12,000 cases indicating \"no.\" i.e they have no sympton of LVH"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "425453d1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x20175d82150>"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.displot(df['LowerBodyO2'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "749d56dd",
+   "metadata": {},
+   "source": [
+    "In LowerBodyO2 data, over 7,000 cases have levels between 5 and 12, while less than 7,000 cases have levels below 5. Additionally, fewer than 2,000 cases have levels of 12 or higher."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "b489ebcc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x20175e254d0>"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.displot(df['RUQO2'] )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0ce23bf5",
+   "metadata": {},
+   "source": [
+    "In the RUQ02 dataset:\n",
+    "- Less than 6,500 cases have levels below 5.\n",
+    "- More than 7,000 cases have levels between 5 and 12.\n",
+    "- Less than 2,000 cases have levels of 12 or higher."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "0e2a6fa5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x20175bf6150>"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.displot(df['XrayReport'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "abea17c7",
+   "metadata": {},
+   "source": [
+    "In the Xray Report data:\n",
+    "- Less than 2,000 cases are classified as Asy/Patchy.\n",
+    "- Less than or equal to 1,000 cases are categorized as Grd_Glass.\n",
+    "- Less than 5,000 cases are labeled as Normal.\n",
+    "- Less than 4,000 cases are identified as Plethoric.\n",
+    "- Less than 4,000 cases are characterized as Oligaemic."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "db2627a1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x20179f8af10>"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.displot(df['LungFlow'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4ee3002b",
+   "metadata": {},
+   "source": [
+    "For LungFlow cases:\n",
+    "- Less than or equal to 2,000 cases have normal flow.\n",
+    "- Less than 6,000 cases have high flow.\n",
+    "- More than 7,000 cases have low flow."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "6bb9cab1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x2017a017cd0>"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.displot(df['LungParench'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0b827b9a",
+   "metadata": {},
+   "source": [
+    "For Lung Parench:\n",
+    "- More than 12,000 cases are classified as Normal.\n",
+    "- More than 2,000 cases are labeled as Abnormal.\n",
+    "- Less than 2,000 cases are categorized as Congested."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "0776668f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x2017a064cd0>"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.displot(df['Sick'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dace21bb",
+   "metadata": {},
+   "source": [
+    "- Less than 12,000 cases are not sick.\n",
+    "- Less than 4,000 cases are sick."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "3cd43949",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Scatter plot of Age vs. Sick\n",
+    "sns.barplot(x='Age', y='Sick', data=df)\n",
+    "\n",
+    "# Set plot labels and title\n",
+    "plt.xlabel('Age')\n",
+    "plt.ylabel('Sick')\n",
+    "plt.title('Scatter Plot of Sick against Age')\n",
+    "\n",
+    "# Show plot\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "afcb7a29",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Scatter plot of Age vs. Sick\n",
+    "sns.displot(x='Age', y='Sick', data=df)\n",
+    "\n",
+    "# Set plot labels and title\n",
+    "plt.xlabel('Age')\n",
+    "plt.ylabel('Sick')\n",
+    "plt.title('Scatter Plot of Sick against Age')\n",
+    "\n",
+    "# Show plot\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "7cd09be3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Scatter plot of Age vs. Sick\n",
+    "sns.lineplot(x='Age', y='Sick', data=df)\n",
+    "\n",
+    "# Set plot labels and title\n",
+    "plt.xlabel('Age')\n",
+    "plt.ylabel('Sick')\n",
+    "plt.title('Scatter Plot of Sick against Age')\n",
+    "\n",
+    "# Show plot\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7c71b6dc",
+   "metadata": {},
+   "source": [
+    "From These Graph we can observe that 0-3 days Born Infant are most likely to get sick and as the age increase they get cured and are unlikely to get sick"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "08774cfe",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:36.953301Z",
+     "iopub.status.busy": "2023-09-27T10:01:36.952611Z",
+     "iopub.status.idle": "2023-09-27T10:01:39.036222Z",
+     "shell.execute_reply": "2023-09-27T10:01:39.035326Z"
+    },
+    "papermill": {
+     "duration": 2.102953,
+     "end_time": "2023-09-27T10:01:39.039084",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:36.936131",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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rr5JuPJ/8VlWrVtX//vc/Xbp0yWzr3Lmz2rZtq127dqlfv35q0aLFHffr77//1ujRo+Xt7S1HR0eVLVtW5cqVU1JS0l3/pr3T8YOM7w3ZnVh3p0LApEmT9Omnn2rcuHHZ3hoeAABrk3GSWnZ5MAM5E8g7FMaBAsbe3l7NmjXT2bNndfz48Wxjbz4D/G4VKlQoy3bjpmd1Ll26VKmpqZo8ebKeeOIJcwoODpYki2J01apVdfToUS1evFiNGzfWN998o8aNG2vMmDF3HIudnd19j1G6cWBi06ZN+u2333Ty5Ent2LHjts9mX716taQbP+B/++23O45ty5YtevHFF+Xk5KSPP/5YP/zwg6KiotS1a1eeawoAyHX+/v5yd3fXokWLJEmLFi2Sh4eH/Pz8cmV7Gc9MvfXkspu5ubkpNjZWK1as0IsvvqgNGzaodevW6tGjx11v536+uwAAYA3yOjff7Ny5c9qzZ48k6dChQ7p+/fodlxk0aJDef/99vfrqq/rqq6+0Zs0aRUVFqUyZMne1vHTn3+ZVq1aVJO3fv/+268joq1atWqa+sLAwjRw5Um+88YZGjRp1V2MCAMBaODs7y8vLy/w9nR1yJpB3KIwDBdDVq1cl/XP11r24XbH5XoSHh6tGjRpaunRppsnPz08REREW8cWLF9drr72m+fPn6/Tp02rbtq3ef/99XblyxSLu1kL/iRMndP36dVWsWPG+xtm5c2cVKlRI//3vfxUeHq4iRYrotddeyxQXGRmpzz77TCNGjFC5cuXUo0cP8298O998842cnJy0evVq9e7dW61bt86TAx4AAEg3DkR37dpVX3/9tS5cuKDly5erS5cuWR6gzupEumPHjt1Tfv3yyy8l6Y63OXdwcNALL7ygjz/+WCdPntSAAQO0cOFCnThxQlLOfA+52a37dvHiRZ09e/a+vzsAAHC/cjI3V6hQQZJ09OjRTHFHjhxR2bJlLW7PHhgYqL/++kvjx4/X1q1bNW3atDuO9+uvv1aPHj00efJkvfLKK3r++efVuHFjJSUl3d0O34XWrVurUKFC5veIrCxcuFCFCxdWq1atLNq/++479e3bVy+//LJmz56dY2MCACAvtWvXTidPnlR0dHS2ceRMIO9QGAcKmPT0dK1Zs0YODg7mmWT3IuPH8/3+2D1z5ow2b96sV199Va+88kqmqVevXjpx4oR27twp6caZ6zdzcHBQtWrVZBiG0tPTLfpuTdwzZ86UdOOLwf0oW7asWrdurUWLFik8PFytWrVS2bJlLWKSkpLUt29fPfXUU/rggw/02Wefae/evfrggw+yXXehQoVkZ2ena9eumW2nTp3S8uXL72usAADcq+7du+vChQsaMGCALl68eNu7oixfvly///67Ob9r1y7t3LnzrvNrRESEPvvsM/n6+mZ7a9Zbc769vb35/NXU1FRJD/495Fbz5s2z+D4xZ84cXb169b6/OwAA8CByKjd7enqqTp06WrBggUXO/Pnnn7VmzRqL26N+/fXXWrJkiT788EO9/fbb6ty5s0aNGmXxiLOsFCpUKNPdzmbOnGnxG/dBeXt7q1evXlq7dq3mzJmTqX/u3Llav369+vTpo0ceecRs37x5szp37qwmTZooPDxc9vYcvgQAFEwjRoxQ8eLF1bdvXyUkJGTqP3nypKZPn07OBPJQ4fweAIDs/fjjjzpy5IgkKTExURERETp+/Ljefvtt8zkl96J+/fqSpMGDB8vf31+FChVS586d73r5iIgIGYahF198Mcv+Nm3aqHDhwgoPD1fDhg3VsmVLeXh4qFGjRnJ3d9fhw4c1a9YstW3bNtPzUOLi4vTiiy+qVatWio6O1qJFi9S1a1fVrl37nvczQ0BAgF555RVJ0rhx4zL1DxkyROfOndPatWtVqFAhtWrVSn379tV7772n9u3b33bbbdu21ZQpU9SqVSt17dpViYmJmj17th5//PFsb3kDAEBOqVu3rnkHl6pVq6pevXpZxj3++ONq3LixBg4cqNTUVE2bNk1lypTRiBEjMsV+/fXXKlGihNLS0vT7779r9erV2rZtm2rXrq2lS5dmO56+ffvq/Pnzat68uR555BH9+uuvmjlzpurUqWOezFenTh0VKlRIEyZMUHJyshwdHdW8eXO5ubnd198gLS1NLVq00KuvvqqjR4/q448/VuPGjW/7PQUAgNyUk7l50qRJat26tXx9fdWnTx/9/fffmjlzplxcXBQaGirpxjGCgQMHqlmzZgoKCpIkzZo1Sxs2bFDPnj21devW2x4gb9eunb788ku5uLioWrVqio6O1tq1a1WmTJkc/ZtMnTpVR44c0ZtvvqnIyEjzKrfVq1fru+++03PPPafJkyeb8b/++qtefPFF2dnZ6ZVXXsn0/aNWrVrmiXcAAFi7xx57TBEREXrttddUtWpVBQQEqEaNGkpLS9P27du1dOlS9ezZUxI5E8grFMYBKzd69Gjz305OTqpSpYrmzJmjAQMG3Nf6Xn75ZQ0aNEiLFy/WokWLZBjGPRXGw8PDVb58+dsWjF1dXdW4cWMtWbJEU6ZM0YABAxQeHq4pU6bo4sWLeuSRRzR48OAsn3WyZMkSjR49Wm+//bYKFy6soKAgTZo06b72M8MLL7ygUqVK6fr165kOkq9YsUILFy7U5MmTVaVKFbN9ypQpioqKUo8ePbR7924VKVIk03qbN2+uzz//XB9++KGGDh0qHx8fTZgwQadOnaIwDgDIMwEBARoxYoS6d++ebYy9vb2mTZumxMREPfXUU5o1a5Y8PT0zxQ4cOFDSje8cZcuWVZ06dfTFF1+oa9eucnR0zHYsr7/+uubNm6ePP/5YSUlJ8vDw0GuvvabQ0FDzoLyHh4fmzp2r8ePHq0+fPrp27Zo2bNhw34XxWbNmKTw8XKNHj1Z6erq6dOmiGTNm5Pgt2wEAuFs5lZv9/PwUGRmpMWPGaPTo0SpSpIiee+45TZgwQT4+PpJkFtbnz59v5r4yZcpo3rx5at++vT766KMsT4STpOnTp6tQoUIKDw/XlStX1KhRI61du/aOj025VyVKlNC6dev08ccfa9GiRRo+fLgMw1CVKlU0bdo0vfnmmxa/uePi4pScnCzpxi3ibzVmzBgO8gMACpQXX3xR+/fv16RJk/Tdd99pzpw5cnR0VK1atTR58mT169dPEjkTyCt2xq33TQKAPBYaGqp3331Xf/75Z6ZbnT+oq1evysvLSy+88II+//zzHF03AAD5bfr06Ro2bJhOnTql8uXLW/SdOnVKPj4+mjRpkv7973/n0wgBAHi4kJsBAAAA68UDBwDYtOXLl+vPP/9UQEBAfg8FAIAcZRiGPv/8cz333HOZDrwDAIC8R24GAAAArBu3Ugdgk3bu3Kn9+/dr3Lhxqlu3rp577rn8HhIAADni0qVLWrFihTZs2KADBw7ou+++y+8hAQDwUCM3AwAAAAUDhXEANmnOnDlatGiR6tSpo7CwsPweDgAAOebPP/9U165d5erqqv/85z968cUX83tIAAA81MjNAAAAQMHAM8YBAAAAAAAAAAAAADaNZ4wDAAAAAAAAAAAAAGwahXEAAAAAAAAAAAAAgE3jGeM55Pr16/rjjz9UsmRJ2dnZ5fdwAAA2wjAM/fXXX/Ly8pK9Peez5TTyNwAgN5C/cx85HACQG8jhuYv8DQDIDfeUvw3kiDNnzhiSmJiYmJiYcmU6c+ZMfqc606ZNm4x27doZnp6ehiRj2bJlFv09evTINH5/f3+LmHPnzhldu3Y1SpYsabi4uBi9e/c2/vrrL4uYffv2GY0bNzYcHR2NRx55xJgwYUKmsXz11VdG5cqVDUdHR6NGjRrGqlWr7mlfyN9MTExMTLk5WVP+tjXkcCYmJiam3JzI4bmD/M3ExMTElJvT3eTvfL1ifPPmzZo0aZJiYmJ09uxZLVu2TB06dDD7e/bsqQULFlgs4+/vr8jISHP+/PnzGjRokL7//nvZ29urY8eOmj59ukqUKGHG7N+/X4GBgdq9e7fKlSunQYMGacSIERbrXbp0qd555x2dOnVKTzzxhCZMmKA2bdrc9b6ULFlSknTmzBk5Ozvfy58BAIDbSklJkbe3t5lnrMGlS5dUu3Zt9e7dWy+//HKWMa1atdL8+fPNeUdHR4v+bt266ezZs4qKilJ6erp69eql/v37KyIiQtKN/W7ZsqX8/Pw0d+5cHThwQL1795arq6v69+8vSdq+fbu6dOmi8ePHq127doqIiFCHDh20d+9e1ahR4672hfwNAMgN1pi/bQ05HACQG8jhuYv8DQDIDfeSv/O1MG5LB9Yzbv3i7OxMUgcA5DhrusVY69at1bp162xjHB0d5eHhkWXf4cOHFRkZqd27d6tBgwaSpJkzZ6pNmzb66KOP5OXlpfDwcKWlpemLL76Qg4ODqlevrtjYWE2ZMsXM39OnT1erVq00fPhwSdK4ceMUFRWlWbNmae7cuXe1L+RvAEBusqb8fTeuXbum0NBQLVq0SPHx8fLy8lLPnj01atQoc18Mw9CYMWP06aefKikpSY0aNdKcOXP0xBNPmOvJqRPYs0MOBwDkpoKWwwsK8jcAIDfdTf7O1weltG7dWu+9955eeuml28ZkHFjPmEqVKmX2ZRxY/+yzz9SwYUM1btxYM2fO1OLFi/XHH39IksWB9erVq6tz584aPHiwpkyZYq7n5gPrVatW1bhx41SvXj3NmjUr93YeAAAbtnHjRrm5ualy5coaOHCgzp07Z/ZFR0fL1dXVLIpLkp+fn+zt7bVz504zpkmTJnJwcDBj/P39dfToUV24cMGM8fPzs9iuv7+/oqOjc3PXAACwWRMmTNCcOXM0a9YsHT58WBMmTNDEiRM1c+ZMM2bixImaMWOG5s6dq507d6p48eLy9/fXlStXzJhu3brp4MGDioqK0sqVK7V582bzxDbpnxPYK1SooJiYGE2aNEmhoaGaN29enu4vAAAAAODhkq+F8bthrQfWU1N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",
+      "text/plain": [
+       "<Figure size 2000x1500 with 20 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Set the number of rows and columns for the subplot grid\n",
+    "r = 5\n",
+    "c = 4\n",
+    "\n",
+    "# Create a larger plot\n",
+    "fig, axes = plt.subplots(r, c, figsize=(20, 15))\n",
+    "\n",
+    "# Initialize iterator\n",
+    "it = 0\n",
+    "\n",
+    "# Iterate over each column in the DataFrame\n",
+    "for i, ax in zip(df.columns, axes.flatten()):\n",
+    "    sns.countplot(x=df[i], ax=ax)\n",
+    "    ax.set_title(i)  # Set title for each subplot\n",
+    "    it += 1\n",
+    "\n",
+    "# Adjust layout and show plot\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "67bf15e0",
+   "metadata": {},
+   "source": [
+    "<Font size  = '6'> Data Imputation and Data Encoding </Font>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "f759b228",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:39.074196Z",
+     "iopub.status.busy": "2023-09-27T10:01:39.073802Z",
+     "iopub.status.idle": "2023-09-27T10:01:39.078892Z",
+     "shell.execute_reply": "2023-09-27T10:01:39.077631Z"
+    },
+    "papermill": {
+     "duration": 0.024434,
+     "end_time": "2023-09-27T10:01:39.081367",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:39.056933",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import scipy.stats as stats"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "9ac3cc88",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:39.117242Z",
+     "iopub.status.busy": "2023-09-27T10:01:39.116541Z",
+     "iopub.status.idle": "2023-09-27T10:01:39.299548Z",
+     "shell.execute_reply": "2023-09-27T10:01:39.298208Z"
+    },
+    "papermill": {
+     "duration": 0.205577,
+     "end_time": "2023-09-27T10:01:39.302848",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:39.097271",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "pvalue = []\n",
+    "for i in df.drop('Sick',axis=1).columns:\n",
+    "    stat,pval,dof,exp = stats.chi2_contingency(pd.crosstab(df[i],df['Sick']))\n",
+    "    pvalue.append(pval)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "93e418fc",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:39.338656Z",
+     "iopub.status.busy": "2023-09-27T10:01:39.338150Z",
+     "iopub.status.idle": "2023-09-27T10:01:39.355249Z",
+     "shell.execute_reply": "2023-09-27T10:01:39.353932Z"
+    },
+    "papermill": {
+     "duration": 0.038582,
+     "end_time": "2023-09-27T10:01:39.357506",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:39.318924",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "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>P-Value</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>BirthAsphyxia</th>\n",
+       "      <td>8.222743e-01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>HypDistrib</th>\n",
+       "      <td>2.265954e-01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>HypoxiaInO2</th>\n",
+       "      <td>9.960833e-01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CO2</th>\n",
+       "      <td>3.717060e-02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ChestXray</th>\n",
+       "      <td>6.149512e-17</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                    P-Value\n",
+       "BirthAsphyxia  8.222743e-01\n",
+       "HypDistrib     2.265954e-01\n",
+       "HypoxiaInO2    9.960833e-01\n",
+       "CO2            3.717060e-02\n",
+       "ChestXray      6.149512e-17"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sig = pd.DataFrame(pvalue,index=df.drop('Sick',axis=1).columns,columns=['P-Value'])\n",
+    "sig.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "id": "6ef56ccb",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:39.393420Z",
+     "iopub.status.busy": "2023-09-27T10:01:39.393045Z",
+     "iopub.status.idle": "2023-09-27T10:01:39.403006Z",
+     "shell.execute_reply": "2023-09-27T10:01:39.401732Z"
+    },
+    "papermill": {
+     "duration": 0.031732,
+     "end_time": "2023-09-27T10:01:39.405484",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:39.373752",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['CO2', 'ChestXray', 'Grunting', 'CO2Report', 'XrayReport', 'Disease',\n",
+       "       'GruntingReport', 'Age', 'DuctFlow', 'CardiacMixing', 'LungParench',\n",
+       "       'LungFlow'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sig[sig['P-Value']<0.05].index"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "c42228f5",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:39.443560Z",
+     "iopub.status.busy": "2023-09-27T10:01:39.443135Z",
+     "iopub.status.idle": "2023-09-27T10:01:39.453275Z",
+     "shell.execute_reply": "2023-09-27T10:01:39.451413Z"
+    },
+    "papermill": {
+     "duration": 0.033095,
+     "end_time": "2023-09-27T10:01:39.455860",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:39.422765",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "x = df[['ChestXray', 'Grunting', 'XrayReport', 'Disease', 'GruntingReport','Age', 'DuctFlow', 'CardiacMixing', 'LungParench', 'LungFlow']]\n",
+    "y = df['Sick']\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "68343f6f",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:39.492572Z",
+     "iopub.status.busy": "2023-09-27T10:01:39.492150Z",
+     "iopub.status.idle": "2023-09-27T10:01:39.507077Z",
+     "shell.execute_reply": "2023-09-27T10:01:39.505857Z"
+    },
+    "papermill": {
+     "duration": 0.037941,
+     "end_time": "2023-09-27T10:01:39.510614",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:39.472673",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "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>ChestXray</th>\n",
+       "      <th>Grunting</th>\n",
+       "      <th>XrayReport</th>\n",
+       "      <th>Disease</th>\n",
+       "      <th>GruntingReport</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>DuctFlow</th>\n",
+       "      <th>CardiacMixing</th>\n",
+       "      <th>LungParench</th>\n",
+       "      <th>LungFlow</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Normal</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>Asy/Patchy</td>\n",
+       "      <td>TGA</td>\n",
+       "      <td>no</td>\n",
+       "      <td>4-10_days</td>\n",
+       "      <td>Lt_to_Rt</td>\n",
+       "      <td>Transp.</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Normal</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Grd_Glass</td>\n",
+       "      <td>no</td>\n",
+       "      <td>Grd_Glass</td>\n",
+       "      <td>Fallot</td>\n",
+       "      <td>no</td>\n",
+       "      <td>0-3_days</td>\n",
+       "      <td>Rt_to_Lt</td>\n",
+       "      <td>Mild</td>\n",
+       "      <td>Abnormal</td>\n",
+       "      <td>High</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>no</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>PFC</td>\n",
+       "      <td>no</td>\n",
+       "      <td>0-3_days</td>\n",
+       "      <td>Lt_to_Rt</td>\n",
+       "      <td>Complete</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>High</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>no</td>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>PAIVS</td>\n",
+       "      <td>no</td>\n",
+       "      <td>0-3_days</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Complete</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Low</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>no</td>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>PAIVS</td>\n",
+       "      <td>no</td>\n",
+       "      <td>0-3_days</td>\n",
+       "      <td>Lt_to_Rt</td>\n",
+       "      <td>Complete</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Normal</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   ChestXray Grunting  XrayReport Disease GruntingReport        Age  DuctFlow  \\\n",
+       "0     Normal      yes  Asy/Patchy     TGA             no  4-10_days  Lt_to_Rt   \n",
+       "1  Grd_Glass       no   Grd_Glass  Fallot             no   0-3_days  Rt_to_Lt   \n",
+       "2  Plethoric       no      Normal     PFC             no   0-3_days  Lt_to_Rt   \n",
+       "3  Plethoric       no   Plethoric   PAIVS             no   0-3_days       NaN   \n",
+       "4  Plethoric       no   Plethoric   PAIVS             no   0-3_days  Lt_to_Rt   \n",
+       "\n",
+       "  CardiacMixing LungParench LungFlow  \n",
+       "0       Transp.      Normal   Normal  \n",
+       "1          Mild    Abnormal     High  \n",
+       "2      Complete      Normal     High  \n",
+       "3      Complete      Normal      Low  \n",
+       "4      Complete      Normal   Normal  "
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8a79bf40",
+   "metadata": {},
+   "source": [
+    "**Replacing the Strings with Numerical Value For Machine Learning Models**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "e8544ff9",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:39.553703Z",
+     "iopub.status.busy": "2023-09-27T10:01:39.552935Z",
+     "iopub.status.idle": "2023-09-27T10:01:39.567742Z",
+     "shell.execute_reply": "2023-09-27T10:01:39.566466Z"
+    },
+    "papermill": {
+     "duration": 0.039742,
+     "end_time": "2023-09-27T10:01:39.572018",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:39.532276",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "for i in ['Grunting','GruntingReport']:\n",
+    "    x[i] = x[i].replace({'yes':1,'no':0})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "9a2f74ef",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:39.612456Z",
+     "iopub.status.busy": "2023-09-27T10:01:39.611821Z",
+     "iopub.status.idle": "2023-09-27T10:01:39.631220Z",
+     "shell.execute_reply": "2023-09-27T10:01:39.628354Z"
+    },
+    "papermill": {
+     "duration": 0.04285,
+     "end_time": "2023-09-27T10:01:39.634412",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:39.591562",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The unique values in ChestXray are :['Normal' 'Grd_Glass' 'Plethoric' 'Oligaemic' 'Asy/Patch']\n",
+      "The unique values in XrayReport are :['Asy/Patchy' 'Grd_Glass' 'Normal' 'Plethoric' 'Oligaemic']\n",
+      "The unique values in Disease are :['TGA' 'Fallot' 'PFC' 'PAIVS' 'TAPVD' 'Lung']\n",
+      "The unique values in Age are :['4-10_days' '0-3_days' '11-30_days']\n",
+      "The unique values in DuctFlow are :['Lt_to_Rt' 'Rt_to_Lt' nan]\n",
+      "The unique values in CardiacMixing are :['Transp.' 'Mild' 'Complete' nan]\n",
+      "The unique values in LungParench are :['Normal' 'Abnormal' 'Congested']\n",
+      "The unique values in LungFlow are :['Normal' 'High' 'Low']\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i in x.drop(['Grunting','GruntingReport'],axis=1).columns:\n",
+    "    print(\"The unique values in {} are :{}\".format(i,x[i].unique()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "6e79688c",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:39.680238Z",
+     "iopub.status.busy": "2023-09-27T10:01:39.679621Z",
+     "iopub.status.idle": "2023-09-27T10:01:39.702725Z",
+     "shell.execute_reply": "2023-09-27T10:01:39.700833Z"
+    },
+    "papermill": {
+     "duration": 0.049271,
+     "end_time": "2023-09-27T10:01:39.704843",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:39.655572",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The value counts of ChestXray are :\n",
+      "ChestXray\n",
+      "Oligaemic    4497\n",
+      "Normal       4401\n",
+      "Plethoric    3757\n",
+      "Asy/Patch    1278\n",
+      "Grd_Glass    1067\n",
+      "Name: count, dtype: int64\n",
+      "----------------------------------------------------------------------------------------------------\n",
+      "The value counts of XrayReport are :\n",
+      "XrayReport\n",
+      "Normal        4925\n",
+      "Plethoric     3886\n",
+      "Oligaemic     3598\n",
+      "Asy/Patchy    1604\n",
+      "Grd_Glass      987\n",
+      "Name: count, dtype: int64\n",
+      "----------------------------------------------------------------------------------------------------\n",
+      "The value counts of Disease are :\n",
+      "Disease\n",
+      "Fallot    5936\n",
+      "TGA       4083\n",
+      "PAIVS     3457\n",
+      "TAPVD      741\n",
+      "Lung       434\n",
+      "PFC        349\n",
+      "Name: count, dtype: int64\n",
+      "----------------------------------------------------------------------------------------------------\n",
+      "The value counts of Age are :\n",
+      "Age\n",
+      "0-3_days      10767\n",
+      "4-10_days      2669\n",
+      "11-30_days     1564\n",
+      "Name: count, dtype: int64\n",
+      "----------------------------------------------------------------------------------------------------\n",
+      "The value counts of DuctFlow are :\n",
+      "DuctFlow\n",
+      "Lt_to_Rt    8209\n",
+      "Rt_to_Lt    1102\n",
+      "Name: count, dtype: int64\n",
+      "----------------------------------------------------------------------------------------------------\n",
+      "The value counts of CardiacMixing are :\n",
+      "CardiacMixing\n",
+      "Complete    8442\n",
+      "Transp.     4839\n",
+      "Mild         992\n",
+      "Name: count, dtype: int64\n",
+      "----------------------------------------------------------------------------------------------------\n",
+      "The value counts of LungParench are :\n",
+      "LungParench\n",
+      "Normal       12178\n",
+      "Abnormal      2097\n",
+      "Congested      725\n",
+      "Name: count, dtype: int64\n",
+      "----------------------------------------------------------------------------------------------------\n",
+      "The value counts of LungFlow are :\n",
+      "LungFlow\n",
+      "Low       7283\n",
+      "High      5718\n",
+      "Normal    1999\n",
+      "Name: count, dtype: int64\n",
+      "----------------------------------------------------------------------------------------------------\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i in x.drop(['Grunting','GruntingReport'],axis=1).columns:\n",
+    "    print(\"The value counts of {} are :\\n{}\".format(i,x[i].value_counts()))\n",
+    "    print(\"--\"*50)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "70c09b82",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:39.745718Z",
+     "iopub.status.busy": "2023-09-27T10:01:39.745249Z",
+     "iopub.status.idle": "2023-09-27T10:01:39.773398Z",
+     "shell.execute_reply": "2023-09-27T10:01:39.772120Z"
+    },
+    "papermill": {
+     "duration": 0.051575,
+     "end_time": "2023-09-27T10:01:39.775873",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:39.724298",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "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>ChestXray</th>\n",
+       "      <th>Grunting</th>\n",
+       "      <th>XrayReport</th>\n",
+       "      <th>Disease</th>\n",
+       "      <th>GruntingReport</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>LungFlow</th>\n",
+       "      <th>DuctFlow_Rt_to_Lt</th>\n",
+       "      <th>CardiacMixing_Mild</th>\n",
+       "      <th>CardiacMixing_Transp.</th>\n",
+       "      <th>LungParench_Congested</th>\n",
+       "      <th>LungParench_Normal</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Normal</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Asy/Patchy</td>\n",
+       "      <td>TGA</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4-10_days</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Grd_Glass</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Grd_Glass</td>\n",
+       "      <td>Fallot</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0-3_days</td>\n",
+       "      <td>High</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>PFC</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0-3_days</td>\n",
+       "      <td>High</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>PAIVS</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0-3_days</td>\n",
+       "      <td>Low</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>PAIVS</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0-3_days</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   ChestXray  Grunting  XrayReport Disease  GruntingReport        Age  \\\n",
+       "0     Normal         1  Asy/Patchy     TGA               0  4-10_days   \n",
+       "1  Grd_Glass         0   Grd_Glass  Fallot               0   0-3_days   \n",
+       "2  Plethoric         0      Normal     PFC               0   0-3_days   \n",
+       "3  Plethoric         0   Plethoric   PAIVS               0   0-3_days   \n",
+       "4  Plethoric         0   Plethoric   PAIVS               0   0-3_days   \n",
+       "\n",
+       "  LungFlow  DuctFlow_Rt_to_Lt  CardiacMixing_Mild  CardiacMixing_Transp.  \\\n",
+       "0   Normal              False               False                   True   \n",
+       "1     High               True                True                  False   \n",
+       "2     High              False               False                  False   \n",
+       "3      Low              False               False                  False   \n",
+       "4   Normal              False               False                  False   \n",
+       "\n",
+       "   LungParench_Congested  LungParench_Normal  \n",
+       "0                  False                True  \n",
+       "1                  False               False  \n",
+       "2                  False                True  \n",
+       "3                  False                True  \n",
+       "4                  False                True  "
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x = pd.get_dummies(x,columns=['DuctFlow','CardiacMixing','LungParench'],drop_first=True)\n",
+    "x.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "ddf3d48f",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:39.816361Z",
+     "iopub.status.busy": "2023-09-27T10:01:39.814133Z",
+     "iopub.status.idle": "2023-09-27T10:01:39.834013Z",
+     "shell.execute_reply": "2023-09-27T10:01:39.833232Z"
+    },
+    "papermill": {
+     "duration": 0.042663,
+     "end_time": "2023-09-27T10:01:39.835976",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:39.793313",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "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>ChestXray</th>\n",
+       "      <th>Grunting</th>\n",
+       "      <th>XrayReport</th>\n",
+       "      <th>Disease</th>\n",
+       "      <th>GruntingReport</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>LungFlow</th>\n",
+       "      <th>DuctFlow_Rt_to_Lt</th>\n",
+       "      <th>CardiacMixing_Mild</th>\n",
+       "      <th>CardiacMixing_Transp.</th>\n",
+       "      <th>LungParench_Congested</th>\n",
+       "      <th>LungParench_Normal</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Normal</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Asy/Patchy</td>\n",
+       "      <td>TGA</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Grd_Glass</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Grd_Glass</td>\n",
+       "      <td>Fallot</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>High</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>PFC</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>High</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>PAIVS</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Low</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>PAIVS</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   ChestXray  Grunting  XrayReport Disease  GruntingReport  Age LungFlow  \\\n",
+       "0     Normal         1  Asy/Patchy     TGA               0    1   Normal   \n",
+       "1  Grd_Glass         0   Grd_Glass  Fallot               0    0     High   \n",
+       "2  Plethoric         0      Normal     PFC               0    0     High   \n",
+       "3  Plethoric         0   Plethoric   PAIVS               0    0      Low   \n",
+       "4  Plethoric         0   Plethoric   PAIVS               0    0   Normal   \n",
+       "\n",
+       "   DuctFlow_Rt_to_Lt  CardiacMixing_Mild  CardiacMixing_Transp.  \\\n",
+       "0              False               False                   True   \n",
+       "1               True                True                  False   \n",
+       "2              False               False                  False   \n",
+       "3              False               False                  False   \n",
+       "4              False               False                  False   \n",
+       "\n",
+       "   LungParench_Congested  LungParench_Normal  \n",
+       "0                  False                True  \n",
+       "1                  False               False  \n",
+       "2                  False                True  \n",
+       "3                  False                True  \n",
+       "4                  False                True  "
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x['Age'] = x['Age'].replace({'0-3_days':0,'4-10_days':1,'11-30_days':2})\n",
+    "x.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "0a06dd7a",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:39.873649Z",
+     "iopub.status.busy": "2023-09-27T10:01:39.872474Z",
+     "iopub.status.idle": "2023-09-27T10:01:39.891208Z",
+     "shell.execute_reply": "2023-09-27T10:01:39.890027Z"
+    },
+    "papermill": {
+     "duration": 0.041068,
+     "end_time": "2023-09-27T10:01:39.895064",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:39.853996",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "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>ChestXray</th>\n",
+       "      <th>Grunting</th>\n",
+       "      <th>XrayReport</th>\n",
+       "      <th>Disease</th>\n",
+       "      <th>GruntingReport</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>LungFlow</th>\n",
+       "      <th>DuctFlow_Rt_to_Lt</th>\n",
+       "      <th>CardiacMixing_Mild</th>\n",
+       "      <th>CardiacMixing_Transp.</th>\n",
+       "      <th>LungParench_Congested</th>\n",
+       "      <th>LungParench_Normal</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Normal</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Asy/Patchy</td>\n",
+       "      <td>TGA</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Grd_Glass</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Grd_Glass</td>\n",
+       "      <td>Fallot</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>PFC</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>PAIVS</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Plethoric</td>\n",
+       "      <td>PAIVS</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   ChestXray  Grunting  XrayReport Disease  GruntingReport  Age  LungFlow  \\\n",
+       "0     Normal         1  Asy/Patchy     TGA               0    1         0   \n",
+       "1  Grd_Glass         0   Grd_Glass  Fallot               0    0         2   \n",
+       "2  Plethoric         0      Normal     PFC               0    0         2   \n",
+       "3  Plethoric         0   Plethoric   PAIVS               0    0         1   \n",
+       "4  Plethoric         0   Plethoric   PAIVS               0    0         0   \n",
+       "\n",
+       "   DuctFlow_Rt_to_Lt  CardiacMixing_Mild  CardiacMixing_Transp.  \\\n",
+       "0              False               False                   True   \n",
+       "1               True                True                  False   \n",
+       "2              False               False                  False   \n",
+       "3              False               False                  False   \n",
+       "4              False               False                  False   \n",
+       "\n",
+       "   LungParench_Congested  LungParench_Normal  \n",
+       "0                  False                True  \n",
+       "1                  False               False  \n",
+       "2                  False                True  \n",
+       "3                  False                True  \n",
+       "4                  False                True  "
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x['LungFlow'] = x['LungFlow'].replace({'Normal':0,'Low':1,'High':2})\n",
+    "x.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "f4ce8d19",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:39.939310Z",
+     "iopub.status.busy": "2023-09-27T10:01:39.938175Z",
+     "iopub.status.idle": "2023-09-27T10:01:39.951069Z",
+     "shell.execute_reply": "2023-09-27T10:01:39.949840Z"
+    },
+    "papermill": {
+     "duration": 0.041005,
+     "end_time": "2023-09-27T10:01:39.953930",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:39.912925",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "for i in ['ChestXray','XrayReport','Disease']:\n",
+    "    x[i] = x[i].map(x[i].value_counts(normalize=True))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "4d7df559",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:39.997134Z",
+     "iopub.status.busy": "2023-09-27T10:01:39.996192Z",
+     "iopub.status.idle": "2023-09-27T10:01:40.018363Z",
+     "shell.execute_reply": "2023-09-27T10:01:40.017484Z"
+    },
+    "papermill": {
+     "duration": 0.047064,
+     "end_time": "2023-09-27T10:01:40.020723",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:39.973659",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "    .dataframe tbody tr th {\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ChestXray</th>\n",
+       "      <th>Grunting</th>\n",
+       "      <th>XrayReport</th>\n",
+       "      <th>Disease</th>\n",
+       "      <th>GruntingReport</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>LungFlow</th>\n",
+       "      <th>DuctFlow_Rt_to_Lt</th>\n",
+       "      <th>CardiacMixing_Mild</th>\n",
+       "      <th>CardiacMixing_Transp.</th>\n",
+       "      <th>LungParench_Congested</th>\n",
+       "      <th>LungParench_Normal</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.293400</td>\n",
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+       "      <td>0.106933</td>\n",
+       "      <td>0.272200</td>\n",
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+       "      <td>1</td>\n",
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+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.071133</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.065800</td>\n",
+       "      <td>0.395733</td>\n",
+       "      <td>0</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.250467</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.328333</td>\n",
+       "      <td>0.023267</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.250467</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.259067</td>\n",
+       "      <td>0.230467</td>\n",
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+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
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+       "    <tr>\n",
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+       "      <td>0.259067</td>\n",
+       "      <td>0.230467</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   ChestXray  Grunting  XrayReport   Disease  GruntingReport  Age  LungFlow  \\\n",
+       "0   0.293400         1    0.106933  0.272200               0    1         0   \n",
+       "1   0.071133         0    0.065800  0.395733               0    0         2   \n",
+       "2   0.250467         0    0.328333  0.023267               0    0         2   \n",
+       "3   0.250467         0    0.259067  0.230467               0    0         1   \n",
+       "4   0.250467         0    0.259067  0.230467               0    0         0   \n",
+       "\n",
+       "   DuctFlow_Rt_to_Lt  CardiacMixing_Mild  CardiacMixing_Transp.  \\\n",
+       "0              False               False                   True   \n",
+       "1               True                True                  False   \n",
+       "2              False               False                  False   \n",
+       "3              False               False                  False   \n",
+       "4              False               False                  False   \n",
+       "\n",
+       "   LungParench_Congested  LungParench_Normal  \n",
+       "0                  False                True  \n",
+       "1                  False               False  \n",
+       "2                  False                True  \n",
+       "3                  False                True  \n",
+       "4                  False                True  "
+      ]
+     },
+     "execution_count": 51,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "f64e45c3",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:40.065646Z",
+     "iopub.status.busy": "2023-09-27T10:01:40.064931Z",
+     "iopub.status.idle": "2023-09-27T10:01:40.071971Z",
+     "shell.execute_reply": "2023-09-27T10:01:40.070153Z"
+    },
+    "papermill": {
+     "duration": 0.031317,
+     "end_time": "2023-09-27T10:01:40.075056",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:40.043739",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['ChestXray', 'Grunting', 'XrayReport', 'Disease', 'GruntingReport',\n",
+       "       'Age', 'LungFlow', 'DuctFlow_Rt_to_Lt', 'CardiacMixing_Mild',\n",
+       "       'CardiacMixing_Transp.', 'LungParench_Congested', 'LungParench_Normal'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "id": "d4ebc064",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:40.121127Z",
+     "iopub.status.busy": "2023-09-27T10:01:40.119676Z",
+     "iopub.status.idle": "2023-09-27T10:01:40.142242Z",
+     "shell.execute_reply": "2023-09-27T10:01:40.140965Z"
+    },
+    "papermill": {
+     "duration": 0.048931,
+     "end_time": "2023-09-27T10:01:40.145490",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:40.096559",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "for i in ['DuctFlow_Rt_to_Lt', 'CardiacMixing_Mild','CardiacMixing_Transp.', 'LungParench_Congested', 'LungParench_Normal']:\n",
+    "    x[i] = x[i].replace({True:1,False:0})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "85bf9661",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:40.190793Z",
+     "iopub.status.busy": "2023-09-27T10:01:40.190370Z",
+     "iopub.status.idle": "2023-09-27T10:01:40.211939Z",
+     "shell.execute_reply": "2023-09-27T10:01:40.209924Z"
+    },
+    "papermill": {
+     "duration": 0.046688,
+     "end_time": "2023-09-27T10:01:40.216147",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:40.169459",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "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>ChestXray</th>\n",
+       "      <th>Grunting</th>\n",
+       "      <th>XrayReport</th>\n",
+       "      <th>Disease</th>\n",
+       "      <th>GruntingReport</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>LungFlow</th>\n",
+       "      <th>DuctFlow_Rt_to_Lt</th>\n",
+       "      <th>CardiacMixing_Mild</th>\n",
+       "      <th>CardiacMixing_Transp.</th>\n",
+       "      <th>LungParench_Congested</th>\n",
+       "      <th>LungParench_Normal</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.293400</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.106933</td>\n",
+       "      <td>0.272200</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.071133</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.065800</td>\n",
+       "      <td>0.395733</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.250467</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.328333</td>\n",
+       "      <td>0.023267</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.250467</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.259067</td>\n",
+       "      <td>0.230467</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.250467</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.259067</td>\n",
+       "      <td>0.230467</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   ChestXray  Grunting  XrayReport   Disease  GruntingReport  Age  LungFlow  \\\n",
+       "0   0.293400         1    0.106933  0.272200               0    1         0   \n",
+       "1   0.071133         0    0.065800  0.395733               0    0         2   \n",
+       "2   0.250467         0    0.328333  0.023267               0    0         2   \n",
+       "3   0.250467         0    0.259067  0.230467               0    0         1   \n",
+       "4   0.250467         0    0.259067  0.230467               0    0         0   \n",
+       "\n",
+       "   DuctFlow_Rt_to_Lt  CardiacMixing_Mild  CardiacMixing_Transp.  \\\n",
+       "0                  0                   0                      1   \n",
+       "1                  1                   1                      0   \n",
+       "2                  0                   0                      0   \n",
+       "3                  0                   0                      0   \n",
+       "4                  0                   0                      0   \n",
+       "\n",
+       "   LungParench_Congested  LungParench_Normal  \n",
+       "0                      0                   1  \n",
+       "1                      0                   0  \n",
+       "2                      0                   1  \n",
+       "3                      0                   1  \n",
+       "4                      0                   1  "
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dfd681c4",
+   "metadata": {},
+   "source": [
+    "**Successfully Introducing The Numerical In Place of Strings in the above table**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "id": "4447f3e6",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:40.265529Z",
+     "iopub.status.busy": "2023-09-27T10:01:40.264683Z",
+     "iopub.status.idle": "2023-09-27T10:01:40.278945Z",
+     "shell.execute_reply": "2023-09-27T10:01:40.277686Z"
+    },
+    "papermill": {
+     "duration": 0.043782,
+     "end_time": "2023-09-27T10:01:40.281929",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:40.238147",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0        0\n",
+       "1        0\n",
+       "2        0\n",
+       "3        0\n",
+       "4        1\n",
+       "        ..\n",
+       "14995    0\n",
+       "14996    1\n",
+       "14997    1\n",
+       "14998    0\n",
+       "14999    0\n",
+       "Name: Sick, Length: 15000, dtype: int64"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "y=y.replace({'no':0,'yes':1})\n",
+    "y"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b6c7e5e5",
+   "metadata": {},
+   "source": [
+    "**Successfully Introducing The Numerical In Place of Strings in the sick data column as well**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "426692b0",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-27T10:01:40.337370Z",
+     "iopub.status.busy": "2023-09-27T10:01:40.336602Z",
+     "iopub.status.idle": "2023-09-27T10:01:42.444136Z",
+     "shell.execute_reply": "2023-09-27T10:01:42.441665Z"
+    },
+    "papermill": {
+     "duration": 2.144163,
+     "end_time": "2023-09-27T10:01:42.446873",
+     "exception": false,
+     "start_time": "2023-09-27T10:01:40.302710",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import statsmodels.api as sm"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "31cd0acf",
+   "metadata": {},
+   "source": [
+    "<Font size = '5'>Explore Correlation Matrix (can try different methods and search if they give the same conclusion and why)</Font>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "813e82c0",
+   "metadata": {},
+   "source": [
+    "**PEARSON CORRELATION**\n",
+    "The Pearson correlation coefficient is a statistical measure that quantifies the strength and direction of the linear relationship between two continuous variables. It ranges from -1 to 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "69fd2710",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x1200 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pearson_corr = x.corr(method='pearson')\n",
+    "plt.figure(figsize=(12,12))\n",
+    "sns.heatmap(pearson_corr, annot=True, cmap='coolwarm', fmt=\".2f\")\n",
+    "plt.title('Pearson Correlation')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ed8f6925",
+   "metadata": {},
+   "source": [
+    "**Features on which Grunting depends on : (Top 5)**\n",
+    "\n",
+    "    Mild   Cardiac Mixing\n",
+    "\n",
+    "    Trans. Cardiac Mixing\n",
+    "\n",
+    "    Congested Lung Parench\n",
+    "\n",
+    "    Duct Flow Right to Left\n",
+    "\n",
+    "    Lung Flow"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "19fcc11a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x1200 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "kendall_corr = x.corr(method='kendall')\n",
+    "plt.figure(figsize=(12,12))\n",
+    "sns.heatmap(kendall_corr, annot=True, cmap='coolwarm', fmt=\".2f\")\n",
+    "plt.title('Kendall Correlation')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f4dd245a",
+   "metadata": {},
+   "source": [
+    "**Features on which Grunting depends on : (Top 5)**\n",
+    "\n",
+    "    Mild   Cardiac Mixing\n",
+    "\n",
+    "    Trans. Cardiac Mixing\n",
+    "\n",
+    "    Congested Lung Parench\n",
+    "\n",
+    "    Duct Flow Right to Left\n",
+    "\n",
+    "    Lung Flow\n",
+    "\n",
+    "\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8de4d1c0",
+   "metadata": {},
+   "source": [
+    "**OVERALL INSIGHTS**\n",
+    "\n",
+    "THESE TOP 5 FEATURES ARE MOST CRITICAL IN ORDER TO INDENTIFY IF INFANT IS GRUNTING WHICH MAY LEAD TO A POSSIBILITY OF ANY OF THE 5 DISEASES MENTIONED ABOVE WHICH ARE \n",
+    "\n",
+    "    Mild   Cardiac Mixing\n",
+    "\n",
+    "    Trans. Cardiac Mixing\n",
+    "\n",
+    "    Congested Lung Parench\n",
+    "\n",
+    "    Duct Flow Right to Left\n",
+    "\n",
+    "    Lung Flow"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7e63f19f",
+   "metadata": {},
+   "source": [
+    "<font size  = '6'>**Check the distribution(skewness) of the columns**</font>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ee6211dc",
+   "metadata": {},
+   "source": [
+    "Calculate the skewness of each column across rows and convert the results into a list for easier access."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "id": "154bf2fc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[-1.6511346063479948,\n",
+       " 2.3187242032533506,\n",
+       " -1.0202509598264728,\n",
+       " -0.8907162000780083,\n",
+       " 1.8638622563136462,\n",
+       " 1.4713131794060024,\n",
+       " -0.34194789921837015,\n",
+       " 3.270022292140786,\n",
+       " 3.4920227961114567,\n",
+       " 0.7590532888037582,\n",
+       " 4.212361805805771,\n",
+       " -1.596125942399149]"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "list(x.skew(axis=0))  "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "946a7f40",
+   "metadata": {},
+   "source": [
+    "\n",
+    "The distribution of skewness values for the columns is as follows:\n",
+    "\n",
+    "- Column 1: Skewness = -1.65\n",
+    "- Column 2: Skewness = 2.32\n",
+    "- Column 3: Skewness = -1.02\n",
+    "- Column 4: Skewness = -0.89\n",
+    "- Column 5: Skewness = 1.86\n",
+    "- Column 6: Skewness = 1.47\n",
+    "- Column 7: Skewness = -0.34\n",
+    "- Column 8: Skewness = 3.27\n",
+    "- Column 9: Skewness = 3.49\n",
+    "- Column 10: Skewness = 0.76\n",
+    "- Column 11: Skewness = 4.21\n",
+    "- Column 12: Skewness = -1.60\n",
+    "\n",
+    "Skewness Direction:\n",
+    "\n",
+    "- Negative skewness: Data skewed towards the left.\n",
+    "- Positive skewness: Data skewed towards the right.\n",
+    "\n",
+    "Magnitude:\n",
+    "\n",
+    "- Higher absolute values indicate more pronounced skewness.\n",
+    "\n",
+    "Interpretation:\n",
+    "\n",
+    "- A skewness of -1.65 in column 1 suggests moderate negative skewness, while 4.21 in column 11 indicates strong positive skewness, with data concentrated towards the left."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6ea4435a",
+   "metadata": {},
+   "source": [
+    "Based on the skewness results for each column:\n",
+    "\n",
+    "1. The majority of columns (9 out of 12) exhibit moderate skewness, while the remaining columns (6 out of 12) are highly skewed. None of the columns are neutrally skewed.\n",
+    "\n",
+    "2. All columns, except for the second one, are right-skewed. This implies that the mean of these columns is greater than the median. Such a distribution indicates that the majority of values fall below the median, but there exist outliers that pull the mean beyond the median.\n",
+    "\n",
+    "3. The remaining two columns are left-skewed, meaning the mean of these columns is less than the median. This suggests that the majority of values in these columns are above the median, but outliers exist that pull the mean below the median.\n",
+    "\n",
+    "To reduce skewness:\n",
+    "\n",
+    "- For moderately skewed columns: Consider transforming using square-rooted or cubed transforms.\n",
+    "- For highly skewed columns: Consider transforming using a logarithmic transform.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "70851dfd",
+   "metadata": {},
+   "source": [
+    "<font size = '5'>**Detect Outliers(don't remove)**</font>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "id": "3f1020c8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(array([    1,     1,     5, ..., 14994, 14994, 14999], dtype=int64),\n",
+       " array([ 7,  8, 10, ...,  8, 10,  8], dtype=int64))"
+      ]
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from scipy import stats\n",
+    "\n",
+    "# Calculate Z-scores for each data point\n",
+    "z_scores = stats.zscore(x)\n",
+    "\n",
+    "# Define a threshold for identifying outliers (e.g., Z-score > 3 or < -3)\n",
+    "threshold = 3\n",
+    "\n",
+    "# Find outliers based on the Z-score\n",
+    "outliers = np.where(np.abs(z_scores) > threshold)\n",
+    "\n",
+    "outliers"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8ea550bd",
+   "metadata": {},
+   "source": [
+    "<font size = '5'>Detect Class Label Imbalance</font>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1b00c428",
+   "metadata": {},
+   "source": [
+    "**Detect Class Label Imbalance**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "id": "93bfce30",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "ChestXray                15000\n",
+       "Grunting                 15000\n",
+       "XrayReport               15000\n",
+       "Disease                  15000\n",
+       "GruntingReport           15000\n",
+       "Age                      15000\n",
+       "LungFlow                 15000\n",
+       "DuctFlow_Rt_to_Lt        15000\n",
+       "CardiacMixing_Mild       15000\n",
+       "CardiacMixing_Transp.    15000\n",
+       "LungParench_Congested    15000\n",
+       "LungParench_Normal       15000\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Get the count of non-null values in each column\n",
+    "column_counts = x.count()\n",
+    "\n",
+    "# Sort the counts in descending order\n",
+    "column_counts_sorted = column_counts.sort_values(ascending=False)\n",
+    "\n",
+    "column_counts_sorted"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  },
+  "papermill": {
+   "default_parameters": {},
+   "duration": 164.70133,
+   "end_time": "2023-09-27T10:04:15.140484",
+   "environment_variables": {},
+   "exception": null,
+   "input_path": "__notebook__.ipynb",
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+}