From d1bd1e82757bf549697a285451968d31c27e0a7b Mon Sep 17 00:00:00 2001
From: AmitHasanShuvo <kaziamithasan89@gmail.com>
Date: Fri, 20 Aug 2021 00:12:59 +0600
Subject: [PATCH] minor changes added

---
 README.md                                     |   8 +-
 assets/feature_1.png                          | Bin 0 -> 60572 bytes
 assets/feature_2.png                          | Bin 0 -> 51794 bytes
 .../example notebook-checkpoint.ipynb         |   6 +
 notebook/example notebook.ipynb               | 652 +++++++++++++
 notebook/train.csv                            | 892 ++++++++++++++++++
 setup.py                                      |   2 +-
 7 files changed, 1558 insertions(+), 2 deletions(-)
 create mode 100644 assets/feature_1.png
 create mode 100644 assets/feature_2.png
 create mode 100644 notebook/.ipynb_checkpoints/example notebook-checkpoint.ipynb
 create mode 100644 notebook/example notebook.ipynb
 create mode 100644 notebook/train.csv

diff --git a/README.md b/README.md
index b2b90cc..615e79a 100644
--- a/README.md
+++ b/README.md
@@ -6,7 +6,7 @@
 
 Data Inspector brings a total of 15 essential exploratory data analysis, data cleaning automations to make a dataset understandable. This is a perfect tool to get started with you data.
 
-data inspector helps to make 
+
 ## Installation
 
 ```pip install data-inspector```
@@ -37,3 +37,9 @@ Package available at https://pypi.org/project/data-inspector/
 
 
 
+### Some visualizations
+<img  src="assets/feature_1.png"  width= "550px"  height="650px"/>
+<br>
+<img  src="assets/feature_2.png"  width= "550px"  height="650px"/>
+
+
diff --git a/assets/feature_1.png b/assets/feature_1.png
new file mode 100644
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diff --git a/notebook/.ipynb_checkpoints/example notebook-checkpoint.ipynb b/notebook/.ipynb_checkpoints/example notebook-checkpoint.ipynb
new file mode 100644
index 0000000..7fec515
--- /dev/null
+++ b/notebook/.ipynb_checkpoints/example notebook-checkpoint.ipynb	
@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebook/example notebook.ipynb b/notebook/example notebook.ipynb
new file mode 100644
index 0000000..e30e81e
--- /dev/null
+++ b/notebook/example notebook.ipynb	
@@ -0,0 +1,652 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Data Inspector \n",
+    "## This module brings different functions to make EDA, data cleaning easier. \n",
+    "### Author: Kazi Amit Hasan\n",
+    "\n",
+    "## Project Description: \n",
+    "\n",
+    "Data Inspector brings a total of 15 essential exploratory data analysis, data cleaning automations to make a dataset understandable. This is a perfect tool to get started with you data.\n",
+    "\n",
+    "\n",
+    "\n",
+    "I tried to show few of the features in this notebook. Hope you will find it helpful\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Installation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Defaulting to user installation because normal site-packages is not writeable\n",
+      "Requirement already satisfied: data-inspector in /home/aci/.local/lib/python3.8/site-packages (0.0.8)\n",
+      "Requirement already satisfied: seaborn==0.11.1 in /home/aci/.local/lib/python3.8/site-packages (from data-inspector) (0.11.1)\n",
+      "Requirement already satisfied: pandas==1.1.2 in /home/aci/.local/lib/python3.8/site-packages (from data-inspector) (1.1.2)\n",
+      "Requirement already satisfied: numpy==1.18.5 in /home/aci/.local/lib/python3.8/site-packages (from data-inspector) (1.18.5)\n",
+      "Requirement already satisfied: scipy==1.6.2 in /usr/local/lib/python3.8/dist-packages (from data-inspector) (1.6.2)\n",
+      "Requirement already satisfied: matplotlib==3.1.2 in /usr/lib/python3/dist-packages (from data-inspector) (3.1.2)\n",
+      "Requirement already satisfied: python-dateutil>=2.7.3 in /home/aci/.local/lib/python3.8/site-packages (from pandas==1.1.2->data-inspector) (2.8.1)\n",
+      "Requirement already satisfied: pytz>=2017.2 in /usr/lib/python3/dist-packages (from pandas==1.1.2->data-inspector) (2019.3)\n",
+      "Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil>=2.7.3->pandas==1.1.2->data-inspector) (1.14.0)\n",
+      "\u001b[33mWARNING: You are using pip version 21.0.1; however, version 21.2.4 is available.\n",
+      "You should consider upgrading via the '/usr/bin/python3.8 -m pip install --upgrade pip' command.\u001b[0m\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install data-inspector"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Importing data inspector "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import data_inspector as di\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = pd.read_csv('train.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "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>PassengerId</th>\n",
+       "      <th>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Name</th>\n",
+       "      <th>Sex</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>SibSp</th>\n",
+       "      <th>Parch</th>\n",
+       "      <th>Ticket</th>\n",
+       "      <th>Fare</th>\n",
+       "      <th>Cabin</th>\n",
+       "      <th>Embarked</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Braund, Mr. Owen Harris</td>\n",
+       "      <td>male</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>A/5 21171</td>\n",
+       "      <td>7.2500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
+       "      <td>female</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>PC 17599</td>\n",
+       "      <td>71.2833</td>\n",
+       "      <td>C85</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Heikkinen, Miss. Laina</td>\n",
+       "      <td>female</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>STON/O2. 3101282</td>\n",
+       "      <td>7.9250</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
+       "      <td>female</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>113803</td>\n",
+       "      <td>53.1000</td>\n",
+       "      <td>C123</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Allen, Mr. William Henry</td>\n",
+       "      <td>male</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>373450</td>\n",
+       "      <td>8.0500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   PassengerId  Survived  Pclass  \\\n",
+       "0            1         0       3   \n",
+       "1            2         1       1   \n",
+       "2            3         1       3   \n",
+       "3            4         1       1   \n",
+       "4            5         0       3   \n",
+       "\n",
+       "                                                Name     Sex   Age  SibSp  \\\n",
+       "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
+       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
+       "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
+       "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
+       "4                           Allen, Mr. William Henry    male  35.0      0   \n",
+       "\n",
+       "   Parch            Ticket     Fare Cabin Embarked  \n",
+       "0      0         A/5 21171   7.2500   NaN        S  \n",
+       "1      0          PC 17599  71.2833   C85        C  \n",
+       "2      0  STON/O2. 3101282   7.9250   NaN        S  \n",
+       "3      0            113803  53.1000  C123        S  \n",
+       "4      0            373450   8.0500   NaN        S  "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Line plot : line_plot(data, x_data, y_data, x_label=\"\", y_label=\"\", title=\"\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "di.line_plot(data, 'PassengerId', 'Age', x_label=\"PassengerId\", y_label=\"Age\", title=\"Line Plot\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Skew feature: plot_skewed_feature(data, column)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "di.plot_skewed_feature(data, 'Age')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Showing data distribution: show_distribution(data, column)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "di.show_distribution(data, 'Age')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Scatter plot: plot_scatter(data,x_data, y_data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "di.plot_scatter(data,'Age', 'Pclass')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Correlation plot: plot_correlation(data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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x0SX7Q4f04pQFb9Hi7UdJvO+low2NoeX7T9Dqq5eJuGrYsaZIVHw0aQdTS9bTDqUSVer8pd323J28vXYmzU5tzvwP5jrbx0XR47ye/PDxgmPOQSlVA44aLF7K64uMiPgAw4ENInImMBUYaIw5G3A3OfGlMaaba/8W4CbX9oeA81zbR7i2jQNeNsZ0BLoC+92cf4yIrBWRtZ8d3ltFnm42mnK9EbcxRx9m/7CSncPGsu+2x53zMy57rp7MrkvuZN9NDxE58kICu51VaR5VEXdJls/R5Y0przC2+w0c2L6P3hedA8Doh2/m46dn4jgBvoWsVGNgHMbjxVt57ZwMECgi612PlwHvAmOBL4wxqQDGmHQ37c4SkSeACCAEWOja/gvwgYh8Bnzp2rYSmCoizXEWp7/LH8wYMwOYAbClzfll/iQjR15IxFXnAZD/59/4No3lyECTT3wMtuS0Mseyp2dhCQ0GqwXsDnzdxADkr9mIb8umWCPDsGdkYUtOd7U/TPYPKwnscBr5aza6f9XKOe/f5zP46iEAbP9zO9HNjvauouNjSE929xI6ORwOVny7nBFjL2Xp54to3eFUJrw6GYCwqDA6DeiC3WZnzferPMpFKVVDJ8DnOW8uMvmuHkYJcX4Ur65kfwBcYoz5Q0RGA/0BjDHjRKQHcAGwXkQ6GmM+EZFVrm0LReRmY8xiTxPM+O9cMv7rHEoK6d+NyOsuImvuTwR0PB1Hdi62lIwKbfJW/UnYsL5kffcz4f8aTM6Pzsl+35ZNKd6bCEBAu9aIrw/2jCwk0B+xWHDk5iOB/gT37UTqa//zNEUWfjiPhR/OA6DzwC4Mu/4CfpmzjDadTiMvO5fM5Io5xp8Uz6E9hwDoMrgbB3Y4O3i39x1TEnP783eybvFaLTBK1SNv7qF4ypuLjDuLgK9EZJoxJk1Eotz0ZkKBRBHxBUYCBwBEpLUxZhWwSkQuAlqISDiw0xjzioicAnQAPC4ypeUsXUNwv260XvSu8xLm+6aV7Gvx9qMkTn0ZW3I6yc+9T8K0e4md+G8KNu8g8wtnRytsWB/CLxmEsdlwFBRxYMLTAPjERNL89QcBEB8rh79dSu6ydceSIr8tXkenAV159efpFOUX8vrkV0v23f/Bf5h+z+tkpmRw+4sTCAoJBBH2bNnN21PfPKbzKaVq6QToyYipZEy+oYlIjjEmxM3264EpgB343RgzuvQlzCJyK3APsAfnJdChrpgvgTY4Z0YWAROA+4DrgGLgEHBtJUNwQMXhMm/xUJFvQ6dQqc/3fNPQKSjVUNzNwtZI2gX9PH7Pif7up1qfrz54bZHxRlpkak6LjPoHq/Wbfupwz4tMzHzvLDKNbbhMKaX+OU6A4TItMkop5aWMFhmllFL1RYuMUkqpemPsXjnNUiNaZJRSyktpT0YppVS9MY7G35Px+nuXKaXUP5VxeL5UR0SGichfIrJdRO5zs19E5BXX/j9FpHNdPActMkop5aWMEY+XqoiIFXgd582G2wHXiEi7cmHDcX5hvQ0wBqiTW31okVFKKS9Vhz2Z7sB2Y8xOY0wR8ClwcbmYi4EPjdOvQISINK3tc9A5mRqIbpnb0Cm4NWmL+9+EaWgPW/M5r8Xwhk7DrYX75jd0CkpVy1F3V5clAPtKre8HengQkwAk1ubEWmSUUspL1WTiX0TG4BzmOmKG66dKoNpfs/I4psa0yCillJeqSZEp/dtXbuwHWpRabw4cPIaYGtM5GaWU8lLGeL5UYw3QRkROFhE/4GpgTrmYOcC/XVeZ9QQOG2NqNVQG2pNRSimvVVffkzHG2ERkPM5fCrYC7xljNonIONf+6cA84HxgO5AH3FAX59Yio5RSXqq6S5NrdiwzD2chKb1teqnHBri9zk7ookVGKaW8lF3vXaaUUqq+1GVPpqFokVFKKS91Ity7TIuMUkp5KQ+uGvN6WmSUUspLaU9GKaVUvbE7Gv9XGbXI1BG/bt0Juf0OsFgomPcdeZ9+UiEm5PY78evRAwoLyXr2KWx//w2+fkS+9Ar4+iJWK4U//0TuzPcBCHvwYawtnF/AtYSE4MjJIWPszTXO7aTHbyJyYGfs+YXsmPgaeRt2Vojxb9GENm/ejTUihLyNu9h+x8uYYhtNb72YmH+dC4BYrQS2SWBt+xvwjQ6jzfRJR9u3jGP/c59y6J25Nc4P4NZHx9F9YDcK8gt54e4X2L5xR4WYic9N4LQObUCEAzsP8PzdL1CQV8DlYy9j4KUDALD6WGlxaguu6ng12Zk5x5SLUt5Ch8u8jIhcCnwJtDXGbD1uJ7ZYCL1zAhn3TMKRkkLkG29RuPIX7Hv2lIT4de+BtXlz0v89Ep+27Qi9624yxt8KxUVkTpqIKcgHq5XIl1+jcPUqbFs2k/XEoyXtQ8bdhiO35jfojBjYmcCTm7K+z+2EdD6NU54aw8YLK/yUBC2njiLx7W9J++YXTn56LE2uGUTShwtJfPMbEt/8xnmsIV1pestF2DNzsGfmsGHIpJLn3/m3t0mfv6rG+QF0G9CNhJObccM5N3FGpzO44//Gc9eIiRXi3np0Bnk5eQCMeegWRoy+iM/e+Jwv3prNF2/NBqDH4B786+ZLtMCoE4LjBLi6rPH3xcq6BliO85YJx43PGW2xHTiAIzERbDYKlyzGv3ffMjH+ffpS8P1CAGxbNiMhIViiogCcBQbAx8e5uPn44t9vAIWLf6xxbpHndSfli6UA5Py2DWt4ML5NIivEhfVtT9rclQCkfL6EyGHdK8TEXNKXtK+XVdgefk57CvckUXQgpcb5AfQa2pMfZy8CYOvvWwkOCyHKTY5HCgyAf4C/21v3Dbi4H0u/+emY8lDK29TV78k0pBOmyIhICNAHuAlXkRERi4i8ISKbRGSuiMwTkctd+7qIyE8isk5EFtbmdxOsMTE4UpJL1h0pKVhiYsrEWNzGxLp2Woh86x1iZn9N0bq12LZuKdPWt30HHBnp2A8cqHFufvFRFB1MLVkvOpiGX3xUmRifqFDsh3PB7vxRiqLENPziy/58gCXQj4j+nUib92uFc0Rf3JdUN8XHUzHx0aSUyjE1MZXo+Bi3sZNemMinv31Ci9bN+eb9srde8g/wp2v/riyfv/yYc1HKm9ThvcsazAlTZIBLgAXGmG1AuuunQ/8FtALaAzcDvQBExBd4FbjcGNMFeA940t1BRWSMiKwVkbUfHqjsXnFuPkVU+EN3F+MKcjjIGHszaVddge8ZbbG2OrlMmP/AwRQsWVTJuashVZzXk9xcIod0I3vtVuzlhqHE14fIod1I/3bFseVXSY6mkn81L0yaxrVdr2Pv9n30G3FumX09h/Rg05rNOlSmThgOIx4v3upEmpO5BnjJ9fhT17ov8LkxxgEcEpElrv2nA2cBP4jzDc5KJT/MU/r22cmD+rl957OnpmCJbVKybomNxZGWWibG4UGMyc2haP3v+HXrTv7uXa5AKwHnnEP6uDF4Km70MJqMHAJAzvrt+DU72ivwaxZNUVJGmXhbehbW8GCwWsDuwK9pNEVJ6WVinL2Vij2EiIGdyN2wk+LUwx7nB3DR9Rcy/JphAGz7YxuxpXKMaRpDelJapW0dDgc/ffszV4y9jO8/+6Fke78R/Vg6Z2mN8lDKm50IV5c1/mcAiEg0MBB4R0R2A1OAq3D/Izy4tm8yxnR0Le2NMUOP9fy2rVvxSWiOJT4efHzwHzCQwhW/lIkpXPELAUPPA8CnbTtMbi6O9HQkPBwJDnEG+fnh16Ur9n17S9r5demCbe9eHKmez3ckfbCADUMmsWHIJDIWrCb28v4AhHQ+DXtWHsXJGRXaZP2ykegLewEQe8UAMhauKdlnDQ0irGc7MhasrtAu+pJzSHNTfKrz7cy53DZsPLcNG8+KhSsZfNkgAM7odAZ52bmku8mxWaujI5o9B/dg3479JetBoUF06NmeFQtX1jgXpbyVqcHirU6UnszlOH+beuyRDSLyE5AKXCYiM4FYoD/wCfAXECsivYwxK13DZ6cZYzYd09kddrJffYmIZ55HLBby58/Dvmc3AReOAKBg7hyKVv2KX4+eRH/0CaagkKznngbAEh1N2D0PIFYLiFDw01KKfj36Ruk/YCAFi49xqAzIXLSOiEGd6bjiDRyuS5iPOP2jqeyc/AbFSRnsffIj2rx5Ny3uuZbcjbtI/t/Riwyihvcg8+c/cOQXljm2JdCP8HPOZtc906mN1YvX0G1gN95f/h6F+QW8MGlayb7HZz7GtHteIiM5g8kvTiIoNAgRYefmXbz6wNHn0mdYb9b9/BuF5XJUqjHz5mEwT0llY9+NiYgsBZ42xiwote1OoC3OXsu5wDbAH3jRGPODiHQEXgHCcRbbl4wxb1d1nsqGyxrazi3R1Qc1gIet+Q2dQqUW7pvf0CmoE1+tK8Qv8Zd7/J7T59AXXlmRToiejDGmv5ttr4DzqjNjTI5rSG01sMG1fz3O4qOUUl7J0dAJ1IEToshUY66IRAB+wOPGmEMNnZBSSnnC1L4z1OBO+CLjrpejlFKNge0EmJM54YuMUko1VtqTUUopVW90TkYppVS90Z6MUkqpeqM9GaWUUvXGrj0ZpZRS9eUE+PVlLTJKKeWtHNqT+Wc58HdEQ6fgVnhwQUOn4Nas7t55H7G7f4nixlaXN3QalXpv9xcNnYLyEl55H6sa0iKjlFJeSif+lVJK1RuHux8dbGS0yCillJeyN3QCdUCLjFJKeSm9ukwppVS90avLlFJK1Ru9ukwppVS90eEypZRS9UYvYVZKKVVv7NqTUUopVV9OhJ6MpaETUEop5Z6jBkttiEiUiPwgIn+7/h/pJqaFiCwRkS0isklE7vLk2NqTqUMJj95C+IAuOPIL2TPpZfI37qwQ49eiCa1em4I1IoT8jTvZM2EapthGSM+zOOWdByjclwTA4QW/cujlWQDE3jSC6GuGgDEUbN3DnsmvYAqLPc4r7j9jCenXDUd+IYn3vkjB5h0VYnybx5Hw0n1Yw0Mo2LSDA1Oeh2IbIYN6EjthFBgHxuYg6cm3yF+3GYDWS97HkZsPDjvG5mD3vzz6OweAT4duBI4aDxYLRUvnUfjt/yrEBP57PD5n94CiAvLeehb77r8B8B92OX4DzgdjsO/bRd6MZ6C4mIDLb8C3S28wBkdWJnnTn8FkpnmcU2WuffhG2g/oRFF+Ee9Ofo29m3ZViLnhmVtp1aE1ICTtOsi7k1+nMK+A+NbNuPG52znpzFP48vn/sfDtObXOR/1zmOM3XHYfsMgY87SI3Odav7dcjA2YZIz5TURCgXUi8oMxZnNVB240PRkRmeqqnn+KyHoR6SEi74hIO9f+nEra9RSRVa42W0TkkfrIL2xAFwJaNWXzuePYe9/rtHjyVrdxze6/nuR35rCl363YD+cQfdXgkn05azbz1/CJ/DV8YkmB8Y2LIvaGC/nrgklsHXInWC1EXnSOx3kF9+uK30kJ7Bh8M4n/eYX4x8a7jWsy5UbS3/+KHUNuwZ6VQ8QVQwHIXbmeXRfdzq4Rd5B4/zSaPlm2kOwddR+7RtxRowKDWAgcfRe5z95H9j034NdrIJaEk8qE+JzdA0t8AtmTRpH37osE3jDB2TQyBr/zLiX7wXFk33cTWCz49RoIQMF3s8i+/xayHxhD8e8rCfjXKM9zqkT7/p2IO7kp9/e/g5kPTOffT45xG/e/xz/g4eGTeXj4JNIOpjLo+mEA5Gbm8Mkj72lxUcfkePVkgIuBma7HM4FLygcYYxKNMb+5HmcDW4CE6g7cKIqMiPQCLgQ6G2M6AIOBfcaYm6urojhfsDHGmI7AWcBn9ZFj+NDupM9eAkDe79uwhgXj06RCj5PQ3h3InPcLAGlfLCb8vJ7VHlt8rFgC/MBqwRLoT3FSusd5hQ7uyeGvFwFQsP4vLKHB+MRWzCuoZweyFiwH4PCXPxI6uBcAJu/oHZ4tgQHUxZX71tZn4Eg6gCMlEew2in5d7OyBlOLbpTdFy34AwL59CxIUgkREASBWK+LnDxYL4u+PI8PVW8nPK2kv/gF18iWDTkO7seLLpQDs/P1vgkKDCI+teDfugpz8ksd+AX4Y17mz07LY/ecO7LYT4QYh6niz12CppThjTCI4iwnQpOm395cAACAASURBVKpgEWkFdAJWVXfgxjJc1hRINcYUAhhjUgFEZCkw2Riz1rX+AjAAyACuNsak4Hyxjrx4dmCzK/YRoDXOStwCeNYY8/axJugbH01RYmrJevGhVHzjo7ElZ5Rss0aGYs/KBbvzc0dxYhq+8VEl+4M7n84ZC16iOCmdA0++T8G2fRQnpZM84yvO/PUdHAVFZP+8nuxl6z3OyycuhuLElJJ126FUfOJisKWUzisMR3apvA6l4hMXXbI/dEgvYieNxic6gn23PHz04MbQ8v0nMMaQ+el8Mmct8CgnS1QMjrTkknVHeio+rdtWE5OCJTIG+65tFHz3GWGvfIopKsS2YS22DWtL4gKuuBG/c4Zi8nLJefJuj/KpSmRcNOkHjw65pR9KJzI+msMpmRVib3zuNtr378zB7fuZ9cTMCvuVqqmafE9GRMYApbvaM4wxM0rt/xGId9N0ak1yEpEQYDYwwRiTVV18o+jJAN8DLURkm4i8ISL93MQEA78ZYzoDPwFH3g2nAX+JyFciMlZEAkq16QBcAPQCHhKRZuUPKiJjRGStiKydnbO7ihTd/G0wZT9Ki7s7qrpi8jbuYFOvW9g6bAIpH3zHyW8/AIA1PJjwIT3Y3GcMG7vdgCXIn8hL3T39SrJy95e0XF5u71xRKiT7h5XsHDaWfbc97pyfcdlz9WR2XXIn+256iMiRFxLY7SxPs6o+p0piJCgE3y59yJpwLVnjr0D8A/Dtc3TIseDz98i682qKVvyI/9AKPf6ac5uG+y7Se1Pe4O4eY0jcvp/uF/Wp/bnVP15NhsuMMTOMMV1LLTNKH8sYM9gYc5ab5RsgSUSaArj+n4wbIuKLs8D81xjzpSfPoVEUGWNMDtAFZ5VOAWaJyOhyYQ5gluvxx0BfV9vHgK44C9W1QOmP298YY/JdPaMlQHc35y75g7sspFWZfTH/Pp/T50/j9PnTKE5Ox69pTMk+3/iYCsNatvQsrGHBYHW+7L5NoylOcvYoHDn5OFxDU1lL1iE+VqyRoYT2PZuifUnY0rPAZufwgl8J7nJGla9X5MgLOXnOq5w851WKk9LxbRpbss8nPgZbctnJcHt6FpbQUnm5iQHIX7MR35ZNsUaGOZ9Pcrqr/WGyf1hJYIfTqszrCEd6Cpboo71xS1QMjszUamJicWSm4XNWFxwpiZjsw2C3U7RmGT5tzqxwjqIVi/Htdq5H+ZQ3cNQwHpn3HI/Me47MpAyimh3t1UXFR5FZxXClcThYPXcFXYZVPwyqVHWO45zMHOB61+PrgW/KB4jzU/K7wBZjzIueHrhRFBlwDnUZY5YaYx4GxgOXVdekVNsdxpg3gUHA2SISXT6mkvUqpX44r2Si/vDCX4m6bAAAQZ1Ow56dW2ao7IjslRuION/5KTf68oEc/t45pOlTapw/6Ow2iMWCPSObogOpBHU+HQnwAyCkTwcKtu+vMq+M/85l14g72DXiDnJ+XEn4JYMACOh4Oo7s3DJDZUfkrfqTsGF9AQj/12ByfvwVAN+WTUtiAtq1Rnx9sGdkIYH+WIIDAZBAf4L7dqJw2x4PXjWw79yKJT4BS2w8WH3w6zmQ4nUry8QU/7YCv3OGAGA9tS0mPxeTmY4jLQmfU9uBn78zvzM7Yz+4FwBL3NE5SN/OvbEn7vUon/IWf7SAR86fwiPnT+H371fT+1/9ATilUxvysvPcDpU1OenoKETHQV1J3HHgmM6tVGmmBkstPQ0MEZG/gSGudUSkmYjMc8X0AUYBA10XUq0XkfOrO3CjmJMRkdMBhzHmb9emjsAenBP5R1iAy4FPcfZYlrvaXgDMM84xjjY458iOvEtcLCJP4Rxq64/zsr1jkrV4HWEDutJu2XTnJcyTXy3Zd8oH/2Hvva9jS0rn4FMzafXaZJpNGUnepp2kzXJObkec35uYUcPBZsdRUMTu8c8DkLd+G5nzVnDGvGkYu538TTtJ+2Shx3nlLF1DcL9utF70rvMS5vumlexr8fajJE59GVtyOsnPvU/CtHuJnfhvCjbvIPML5znChvUh/JJBGJsNR0ERByY8DYBPTCTNX38QcF6YcPjbpeQuW+dZUg4H+R+8SvC9z4DFStFP83Ec2I3foIsAKFr0Lbb1q/Dt2IPQFz8uuYQZwL5jK8WrfyL0ybfAbse+ZztFi+cCEHD1LVibtgDjwJGaTN570ypNwVN/LvmNDgM68/RPr1GUX8h7U94o2Tfh/Qf44N43OZySyU0vjCcwJBBE2LdlDx896BypCIuN4KE5zxAYEogxhiE3XsCDQyaUuVBAqcocr3uXGWPScH4IL7/9IHC+6/Fy3A+uV0kqG1/2JiLSBXgViMB5rfZ2nENnX+Ca+HddwjwN5wtyGLjKGJMiIp8CnYE8V9upxpiFron/Zjgn/1viwcT/7y0v9soXK8Df8+/MHE9NuxdUH9QA7v4lqvqgBvTe7i8aOgVVN2pdIp466TqP33Pu3/OxV96EplH0ZIwx64Debnb1LxUT4nr4n3Jtr67i0NuMMe6/+KCUUg3McQLc7L9RFBmllPonOhHuXfaPLTLGmEcaOgellKpK4+/H/IOLjFJKeTvtySillKo3Nmn8fRktMkop5aUaf4nRIqOUUl5Lh8uUUkrVG72EWSmlVL1p/CVGi4xSSnktHS77h4mKyW3oFNwKb+udfxXzdnnn57AnmqXx9b5qf9CvQdzy+2MUp1b82W5v4BtzSkOn8I9jPwH6Mlpk1D+OtxYYpcrzzo+PNaNFRimlvJTRnoxSSqn6oj0ZpZRS9UYvYVZKKVVvGn+J0SKjlFJey3YClBktMkop5aV04l8ppVS90Yl/pZRS9UZ7MkoppeqN9mSUUkrVG7vRnsw/WuSU2wns2x1TUEjaw89StHV7hRifZvHEPDUVS3goRVu3k/rg02CzVdk++uHJBJ7TA3t6JolX3lJyrJinH8T3pOYAWEJDcGTnkHjNuCpz9OnQjcBR48FioWjpPAq//V+FmMB/j8fn7B5QVEDeW89i3/03AP7DLsdvwPlgDPZ9u8ib8QwUFxNwzVh8O/cCWzH2pETyZzyDyavZfd38e3QjfMJ4sFrJ+/Y7cj6qmFfYxDsI6NUDU1BA5hPPULzNmVfEA/fg36cnjoxMUq678ehzbdOaiCl3I35+GLudw8+/RPGWrTXKy52+j47ipIEdseUXsujuGaRu3F0h5qzrh3D2zcMIbxXHex3GUZCR43ye4UEMeH4M4Sc1wVZYzJLJb5P+1/5a57T817U8/dJ07A4Hl100jJtHXek2bsOWvxg55m6ef+w+hg44B4AH/+9Ffv5lNVGREXz98fRa56Lqz4nwPRlLQyfgCRGxi8h6EdkoIp+LSFAdHHO0iLx2rO0D+nTHt2UCBy++nrQnphF1/11u4yLuvIWs/87m4CWjcWRlE3LJ8Grb53y7kOTx91c4Vup9T5B4zTgSrxlH3qJl5C1eXs2TtBA4+i5yn72P7HtuwK/XQCwJJ5UJ8Tm7B5b4BLInjSLv3RcJvGGCs2lkDH7nXUr2g+PIvu8msFjw6zUQANvGdWTfeyPZ99+C49A+/Edc6/HrBoDFQvjku0ibdB/J144mcPAgfFqVzcu/Vw98mieQfOV1ZD7zAuFTJpbsy5u3gPSJ91Y4bNjtY8l+byYpo28h+533Cbt9bM3ycqPlgLMJPzme/54ziaX3vku//xvtNu7Q2m3MueYpsvallNneefzFpG7aw6yhD7BownT6PjKq1jnZ7XaeeOF13nzhceb89y3m/biUHbv2uI2b9sb79Oneucz2S84fwvQXn6h1Hqr+mRr8560aRZEB8o0xHY0xZwFFQNUf30sREWt9JBTUvzc5c38AoGjDFiyhIVhjoirEBXTrSN6inwHImfs9QQP6VNu+8LcN2A9nV33+If3IXbCkyhhr6zNwJB3AkZIIdhtFvy7Gt0vvMjG+XXpTtMyZh337FiQoBIlw5iFWK+LnDxYL4u+PIyMNANuGteBwlLSxRMVWmUd5vu3OwLb/IPaDiWCzkf/jYgLO6VMmJuCcPuQv+B6A4k1bsIQEY4l25lW0/k8cWVkVD2xAgoMBsIQEY09Nq1Fe7pw8tAt/zXYW86Tfd+AXFkxQk4gKcamb9pC9P7XC9qg2Cez/ZRMAmTsSCW0RQ2BMWK1y2rBlGy2bN6NFQlN8fX0ZPqgfi5f9WiHuky/mMKR/H6Iiy+bbtWN7wsNCa5WDOj4cNVi8VWMpMqUtA04FEJGvRWSdiGwSkTFHAkQkR0QeE5FVQC8R6SYiK0TkDxFZLSJH/oU1E5EFIvK3iDxbkySsTWKwJx391GpLTsEaG1MmxhIRhiMnB+yuN+SkVKyx0R63r4x/5/bY0zOw7TtQZZwlKgZHWnLJuiM9FUtkbDUxKVgiYzAZqRR89xlhr3xK2OtfYPJyncWlHL9+wyn+Y7VHeR9hjY3BnnT0nPaUis+9Ykxqta9P1kuvEXb7WOK+mkXY+HFkT3+7Rnm5ExwfSc7Bo8UqNzGd4PhIj9unbtnLKcO7AdCk4ymEJsQQ0rTih5GaSE5JJb7J0T/HuCYxJKeULahJKaks+nkFV15yfq3OpRqWA+Px4q0aVZERER9gOLDBtelGY0wXoCtwp4hEu7YHAxuNMT2A1cAs4C5jzNnAYCDfFdcRuApoD1wlIi3cnHOMiKwVkbWfpJZ+Uxc3GZb/g3YTY6rY5+FflODzBlbbi6n8/J7kaJCgEHy79CFrwrVkjb8C8Q/At8/gMmH+F4/E2O0U//KjR3lXdU5TPi+p6rVzL+hfF5P1yhskXXoVh19+g4j7p9Qwr4rEbR6e/4P+7fVv8Q8P5soFT9J+9FBSN+3BYavd5053py+f5jMvv8XEW2/Eaq2Xjrw6Tk6E4bLGMvEfKCLrXY+XAe+6Ht8pIpe6HrcA2gBpgB2Y7dp+OpBojFkDYIzJgpI3j0XGmMOu9c3AScC+0ic2xswAZgCkPf2KCb3U+cmwcNM2rHFHP036NInFXu7TpCPzMJaQELBawO7AGhdTMoRjT06ptr1bVgtBA/uSOPLWakMd6SlYopuUrFuiYnBkprqNsZfExOLITMPnrC44UhIx2YcBKFqzDJ82Z5YUFN9zhuLbqSc5/ze5+pzLsaekYI07mpc1NhZHuaEt5+tTOiYGe2rF4ajSgoYPJWvaqwAULF5KxP01zw3grOsH0+6aAQAk/7GTkGbRJfuCm0aRm5Tp8bGKc/JZMmlGyfp1K6ZVmLepqbgmMRxKPnqMpORUYmOiy8Rs2vo3Ux5+GoCMw1ksW7kGq9XKoHPLDpcq73YiXF3WWHoyR+ZkOhpj7jDGFIlIf5y9kl6uHsrvQIArvsAYc+R9U6j8M3Bhqcd2qim6OZ/NKZl4z1/6CyEXDgHAr31bHDm52FPTK7QpWLueoEHnAhBy4VDylq5wPqGfVnrUvryAHl0o3r0Xe3LVb7gA9p1bscQnYImNB6sPfj0HUrxuZZmY4t9W4HeOMw/rqW0x+bmYzHQcaUn4nNoO/PwB8D2zM/aDewHnFWsBF11N7gsPQlEhNVW8ZSs+zROwNo0HHx8CBw+kYPmKMjEFy1cQOGyo69xtceTm4kir+vWxp6bh1+lsAPy6dK52OLEyG2f+yGfDpvLZsKnsWriO0y/rC0Bcp9YUZeeRl+x5kfELC8Li6+xNtL2mP4mrtlKck19Nq6qddcZp7N1/kP0HD1FcXMz8RT8xoG/PMjELv/iA72fP5PvZMxnavy8PTr5dC0wjdCIMlzWWnow74UCGMSZPRM4AelYStxXn3Es3Y8wa13xM7f6VA/nLVxHYtzvNvvnQeQnyI8+V7GvyypOkPfYi9tQ0Ml95h5inphJx+w0Ubd1Oztfzq20f838P4N/lbKwR4STM/x+Hp88k55sFAAQP7e/hUBngcJD/wasE3/sMWKwU/TQfx4Hd+A26CICiRd9iW78K3449CH3x45JLmAHsO7ZSvPonQp98C+x27Hu2U7R4LgCB19+J+PoScr8zZ9v2zeS/95LnL57dweEXXyF62rNgtZA3dz62XbsJusSZV97X31K44lcCevWgyecfYwoKyXzymZLmEY8+iH+njlgiwon7+jOy3/mAvLnzOPz084RNuAOxWjFFRRx+5gXPc6rEnsXraTnwbEYufwFbfhGLS/VKLpg5mSX3vENeUibtbxhKp1svJCg2nKt+eIo9i/9g6T3vEHlqMwa9NA5jd5Dx9wGWTKn9PJGPj5UHJt7K2LsfxG63c+mFQzn1lJOY9dV3AFx16QVVtp/y8NOs+f1PMjOzGHTJddx20yguu+i8Wuel6p43T+h7SiqMhXshEckxxoSU2+YPfA0kAH8BscAjxpil5eNFpBvwKhCIs8AMBi4Huhpjxrti5gLPG2OWVpbHns6DvfLFCm/rnX8V83Z55cvl1T+/fMvvjzV0CpXyjTmloVNobNxNvNbIhS0v8Pgf0dy939X6fPWhUfRkyhcY17ZCnBcBVBvvmo8p39P5wLUcibmwtnkqpVRd8uZhME81iiKjlFL/RI1hpKk6WmSUUspL2bUno5RSqr7ocJlSSql6cyIMlzWW78kopdQ/zvH6noyIRInID65bbP0gIpXeO0lErCLyu+uK3GppkVFKKS91HG8rcx/OO6C0ARa51itzF7DF0wNrkVFKKS9lN8bjpZYuBma6Hs8ELnEXJCLNgQuAdzw9sBYZpZTyUjUZLit9M1/XMqb6M5SIM8YkArj+36SSuJeAe6jBzQh04l8ppbxUTeZaSt/M1x0R+RGId7NrqifHF5ELgWRjzDrXvSM9okWmBnz8vfP2Lf6XDa4+qAHEXP16Q6dQiW2kj2rX0Em4VfTGfxo6BbcszeKwNXQSlQi8+cWGTqHe1OXVZcaYSt8oRCRJRJoaYxJFpCmQ7CasDzBCRM7HeTPiMBH52BhzXVXn1eEy9Y/jrQVGqfKO412Y5wDXux5fD3xTPsAYc78xprkxphVwNbC4ugIDWmSUUsprHcery54GhojI38AQ1zoi0kxE5tXmwDpcppRSXspujs8QvTEmDRjkZvtBoMJveLvuVr/Uk2NrkVFKKS91InzjX4uMUkp5Kb13mVJKqXpTB3MtDU6LjFJKeSmHDpcppZSqL9qTUUopVW+O19Vl9UmLjFJKeSkdLlNKKVVvdLhMlfDv2Y3wCeMRq4XcOfPI+eh/FWLCJ44noHcPTEEBGY8/S/G2vwGImDqFgN49cWRkknzdTSXxoWNuIPCc3hiHwZGRScYTz+BITTvmHH/56wDPzl2Nw2G4tFsbbuzfvsz+737fyQc/bwQg0M+HqZf05PSmUQBk5Rfx2Jcr2J6UgSA8cllvzj6pshu11ty0Fx9j+LCB5OXnc9NNE/l9/cYKMe++M41zz+nJ4axsAG66eSJ//LGJfuf24svZ77Fr9z4Avv56Hk88+dIx5WE9qysB19yGiIWiZfMpmj+rQoz/Nbfh2747pqiQ/Peew7F3OwB+gy/F99zhgFD88zyKfvyqpI3vwIvxG3Qx2O3Y/lxF4Rce3yndfZ6tO+B33iiwWLD9vpTiX74ts1+im+J/8Vgs8a0oWvIZtpWlvrTtH4T/RbdgadIcjKHw2xk49m+vVT5H/LIrmWcXbcZhDJd2aMGNPU4ts/+7zQf4YNUOAAL9rEwd0p7Tm4RxKCufB+etJy23EBHhsrNbMrLLyXWSU2OmPZkGJiJ2YEOpTZcYY3Yf90QsFiIm3UXqXVOwJ6fQ5L03KVi2AtvuPSUh/r164NMigaQrRuF7Zlsi7plAys23A5D33UJyP/+ayIfK/k5QzsezyJ7xPgDBV1xK2I2jyHz22N487Q4HT835lek3DSUuLIiRr39Hv7YtaB0XURKTEBXCu2POIyzQn+V/7efxL1fy8e0XAPDst6vpfVoznh/Zn2Kbnfxi+zHl4c7wYQNpc+rJnNGuLz26d+b1156id9+L3Mbee/8TfPnldxW2L1++mosvvd5NixoQC4Ej7yD3hXsxGakE/+c1bOtX4kjcWxLi07471rgEch4YjfWUtgSOupPcJ+/EktAK33OHk/vEHWArJmjiU9j+XI0j+QDW08/Gt1Nvch8eC7ZiJDSiiiQ8yVPwGz6ago+fwmSlE3Dz49j++g2TeqAkxOTnUrTgQ6ynd6nQ3G/YKOw7/qDwi5fBYgVf/9rl42J3GJ76YRPTr+xBXGgAIz9aTr/WcbSOCS2JSQgP5N1rehEW4Mvynck8/v0GPr6uD1aLMGlAO9rGhZNbZOOaD5fT86SYMm3/iU6Enkxjv3dZvjGmY6lltyeNRMRal0n4tTsD2/4D2A8mgs1G3o+LCTi3d5mYwHN7kzf/BwCKN21BQkKwRDt7CUXr/8SRlVXhuCYv72jOgQHU5kPNxn2ptIgOo3lUKL4+Vs47+2SWbtlXJqbjSU0IC3S+4XRoGUtSVi4AOQVF/LY7iUu7tgHA18dKWKDfsSdTzkUXncdH//0CgFWrfyM8Ipz4+LrrJXnKesrpOJIPYlIPgd1G8eql+HQq++fo07EXRSt+BMC+cwsEhSDhUViatsS+YysUFYLDge2vP/Hp3AcAvwEXUTjvU7AVA2CyM2uVpyWhNY6MJExmCjjs2Df9ik/5YpKXhePgTnCU+zDgF4i15RnYfl/qXHfYoTCPurAxMZMWkUE0jwjC12rhvDOasXR7UpmYjglRhAX4AtChWSRJ2fkAxIYE0DYuHIBgPx9OiQ4hOaegTvJqzOzG7vHirRp7kalARFqJyDIR+c219HZt7y8iS0TkE1y9HxG5TkRWi8h6EXnrWIuPJTYGe/LRO2Pbk1OxxsaWibHGxmBPKhWTkoI1NqbaY4eNvZG4rz8laOhgst9+/1jSAyA5K4/48OCS9biwIJIP51Ya/9Wav+l7WnMA9qfnEBnsz0Nf/MJVr3zLo7NXkF9UfMy5lJfQLJ79+w6WrB/Yn0hCM3c/ewGPP3Yvv637gReeewQ/v6OFrmfPLqxb+wNz53xEu3anHVMeEhGDIz2lZN1kpGKJKPtnJJExmPTkMjESEYPjwG6sp7VHgkPBzx+fDt2xRDn/DljimuNzWnuCp75C0D0vYGl1bPmV5BAahTl8dNjUZKUjoZX+JHsZlsgmmLxs/EaMJeCWJ/G78OY668kk5xQQHxpYsh4XGlBlofjqz730Pbnih4kDh/PYmnSY9k1r2eM7ARhjPF68VWMvMoGuArFeRI4MgCcDQ4wxnYGrgFdKxXcHphpj2olIW9f+PsaYjoAdGFn+BKV/be7jpIPldx8Jqritwh+6JzEVZb31HkmXXE3e9z8SfLnbX0T1iLszibu8gTU7Evl67XbuGtYZcA61bT2YzpU9TmfWnRcR4OfDe0srzpkcK3d5uPtHM/XBpzjzrHPp2esCIqMiuGfKbQD89vsGTjm1O126DuH1N95n9ufvHWsibjYaj2IciXspmj+LoEnPEDTx/3Ds24mxuz5dWi0QFELuk3dS8PkMgsY9eGz5VcnDNxmLBUvTVtjW/UjB21OhuBDfPu6HJusiA/d/w2DN3lS+3rCPu/qdUWZ7XpGNyd+sY8rAdoT4+9ZJXo3ZcbzVf71p7EWm9HDZpa5tvsDbIrIB+Bwo/eMhq40xu1yPBwFdgDUist61fkr5ExhjZhhjuhpjul4X18xtEo7kFKxNjn4iszaJwZ6aWibGnpKCNa5UTGws9hpM4ud/v5jA/ud6HF9eXFgQh0r1XJKy8ogNC6oQty0xnUe/XMFLowYQERzgbBseTJOwINq3dH4yH3LWSWw5eOwXIADcOu561q75nrVrvudg4iGatzj62iY0b8rBxKQKbQ4dcvYgioqKmDlzFt26dgIgOzuH3FznkM/8BYvx9fUhOtqzT/almYyUkt4HOHstjsyyz9OkpyBRTcrEGFdM8fIF5D52G3nPTMLkZuNIPuBqk4rtt+UAOHb9BcYgIeE1zq8kh+x0JDz6aA5hUR4PwZmsdExWOo4Dzsl325bVWJq2OuZcSosLCeCQa/gLICm7gNiQgApx25KzeHTBBl66tCsRpYZdi+0OJn2zjvPbJjDotKZ1klNjpz0Z7zQRSALOBroCpScPSo8PCTCzVJE63RjzyLGcsGjLVnxaJGBtGg8+PgQNHkjBspVlYvKXrSBo+BAAfM9si8nNxZGWXuVxrc0TSh4H9O2Nbc/eKqKrdmbzGPamZnEgPZtim52Ff+yiX9vmZWISM3OY9PFSnrjyHE6KPfomGBMaSHxEMLtTDgOwakcipzSp3VDGm9Nn0rXbULp2G8qcOQsZNfJyAHp070zW4aySglJa6XmaESOGsWnzVgDi4o4Whm5d/7+9ew+3uqrzOP7+nHNQEBBFGTBK01HxfiERrcZbTWUXNcW0qHwqM9MxyrLbNDoyapOT3WS0mEixNJGcQh1RChU1LygFGCrVgJqoacZFOdwO59Mf67fhcOQAhvu3fmfzfT0Pz7P3b5/98HnO2Xuvvdb6rrUOoqmpiRdfXPiqM62eP5emgYPRjoOguYUehx5F28x1/45ts+5nqzenAwabd9sbWpfixenvWJvQV/8BtAx9C6sevBOAVb+9j5a9UoPYNHAwtLTglxe/6nw17Qvm0dR/ENpuADQ107zvYbT9fsYmPddLF+MlL6Id0od486770v7Cgo08a9Psu1M/nlq4lAWLWlm1up3bH3+GI3cfuM7PPLtkGZ+fNIOL3nMgu/TvszaXzYW3zWbXHfrwkWGv+K63xWq3N/lfVXXr6rIu9AOett0u6TSgq3mWqcAkSd+2/byk/kBf20928fNdW93OossuZ8fvfAOamll6y2Ta5j/BNu9PwxCtP7+ZFfc9SM83D2fgxJ/gFctZeNGla56+/YVfY+uhB9K0XT8GTZrAkh9eTevNk+l31idp2fkN4HbannueRZd++1VHq2lpbuLLxw3n0z/6Fe1u5/hD9mD3gdsz8cG5AJw8fAhjgWJ0SQAAD8xJREFUp85mUesKLpn0QHpOUxPX/ct7AfjS+4bz1Qn3sGp1O4P792H0iLf83Vk6u3XyVN71rmOY+9ivaV22jNNPP3fNYzdPuoYzzjyPZ5/9Mz8eP4YdB/RHErNmzeGss1M13kknvodPfeqjtLWtZvmy5Yz88Fl/X5D2dpZfO4ZtPvd11NTEyntvp/2ZJ+lxZPodrJp2C22zp9Oy/3D6fH18UcL8zTVP73XW+ajPtrC6jeXXjoHWl9Pz7r2Nnh/7PL1Hj4W2NpaN+6+/8zdVcDsrJ19Nz5FfAjXRNnMafmEBLW9Kx4G0zZiKevej5ycvQlv3ArfTY/ixLLvii7ByGSsnX8PW7z8LNbfQvvB5Vtz0g83LU2hpauLLb9+PT/8slckfv//r2X3Hvkycmd5SJx+0C2Pv+wOLlq3kkl/OKZ4jrvvoW5m5YCG3PLqAPXbsyweuvgeAc44Ywj/tVn4BSJU0QnWZqtzN2hhJL9vu0+naHsCNQCtwJ3CO7T6SjgK+YPu9HX72FOArpB7dKuBs2w909f8tOPyYSv6y+p/X5dHdWfU99b9zR1ivKh+/3Pwarj16LTW9buDGfyiTXqd/K3eErnQ1JbXJBvQbssmfOS8snrvZ/189dOueTOcGprj2B+CADpe+Uly/i04nudmeALxytV0IIVRAd+4E1HTrRiaEEBpZledaNlU0MiGEUFHRkwkhhFA3VV7/sqmikQkhhIqKnkwIIYS6iUPLQggh1E1M/IcQQqibGC4LIYRQN42w4j8amRBCqKjoyYQQQqibRpiT6dZ7l3Vnks6wPTZ3jvWparbI9epUNRdUN1tVc3VnjbjVf3dxRu4AG1DVbJHr1alqLqhutqrm6raikQkhhFA30ciEEEKom2hk8qnyuG9Vs0WuV6equaC62aqaq9uKif8QQgh1Ez2ZEEIIdRONTAghhLqJRiaEEELdxIr/Ekjqv6HHbf+1rCzdjaR/BJ62vULSUcABwDW2F+VNVl2SBgGHAgYesv1c5khrSBoM7EKHzx7bd+dLBJIEjAR2sz1a0s7AINvTc+ZqFDHxXwJJ80lveAE7AwuL29sBT9neNVOul4pc62V72xLjrJekmcAhwBuB24GbgCG2350x00DgEuB1to+VtA9wuO1xuTLVSDodOB+4g/QaOxIYbftHWYMBkr4BnAI8CqwuLtv2cflSgaQrgXbgGNt7S9oemGJ7WM5cjSJ6MiWoNSKSvg/cZPvW4v6xwNsz5upb5BgNPAf8mPTBNBLomytXJ+222yS9H/iO7csl/TZzpquBq4B/Le7/HpgAZG9kgPOAg22/CCBpB+A+IHsjA5xA+oKwIneQTobbHlp7XdleKGmr3KEaRczJlGtYrYEBsD2Z9E0zt3favsL2S7aX2L4SOCl3qMIqSR8ETgNuKa71yJgHYEfbN5C+/WK7jbXfzHN7Gnipw/2XgD9lytLZPPL/7dZnlaRmil69pAEUf9uw+aInU66/SPoa8BPSC/rDwIt5IwGwWtJI4HpSrg9SnQ/NjwFnAhfbni9pV9LvL6elRQ+h9qF0GLA4b6Q1FgAPSppEync8MF3SuQC2v1V2IEmXF1lagZmSpgJrejO2P1N2pk6+B/wc+AdJFwMjgK/ljdQ4Yk6mREUBwAXAEcWlu4ELc0/8S3oj8F3gLaQPg18Dn7X9RL5Ur1SMlb/B9uzMOYYClwP7Ab8DBgAjcucCkHTBhh63fWFZWWoknbahx22PLytLVyTtBbyNNFw81fZjmSM1jGhkQqVJugs4jtTrngm8AEyzfW7mXC3AENKH0lzbq3LmWZ+iUV7kirzJJfUGltteXdxvBra23ZoxUxMw2/Z+uTI0uhguK4Gkm9lwFVfu6po9gSuBgbb3k3QAcJzti3LmKvSzvaSomrrK9gWScvdkTux0aU9Ji4FHbD+fKdP5wA22H5e0NTAZOAhok/Qh27/KkauTqaRCl5eL+72AKcCbcwWy3S5plqSdbT+VK0cji0amHN/MHWAj/odUlfQDANuzJV0HVKGRaZG0E/AB1lZz5fYJ4HDgzuL+UcADpMZmtO0fZ8h0CvAfxe3TSEU9A4A9gfFAFRqZnrZrDQy2X5a0Tc5AhZ2AOZKmA0trF3N/+WsU0ciUwPa0YmhgvO0P586zHtvYnp7WpK3RlitMJ6NJ62Putf2QpN2AP2TO1A7sbfvPsGbdzJXAcNI8W45GZmWHYbF3Aj8thqUeK4b2qmCppKG2fwMg6U3AssyZAEqfp9qSVOXF1/Bsr5Y0QNJWtlfmztPJX4qV9bVqqRHAs3kjJbYnAhM73J9H/vLqN9YamMLzwJ62/yop19zMCkn7AX8Gjga+0OGxKvQWAEYBEyU9U9zfidQDy8r2tNwZGlk0MuV6Avi1pJtYt1teellpJ2eTztHYS9ICYD5pQWZ2knqShqf2BXrWrtv+eLZQcI+kW1jb+J0E3F1MbOfa7mYU8DPSENm3bc8HkPRuIPfi1doE+1bAXqwtmHi8CgUTRQn65cDepIzNwNIq7HjRCKK6rERdlZfmKCvtSFJz0dPqDTTZfmmjTyqJpInA48CHSENnI4HHbI/KmEnAicBbi0svAjvZPjtXpu5A0v22D8+dozNJDwOnkr40HAJ8FNjD9lezBmsQ0ZMpUa0xkdTb9tKN/XyJ5ku6jbQ1yh25w3Syu+2TJR1ve3xRkHB7zkC2Len/SXMwHyD1/G7MmammWCR6AakBNHAvae+yKiz6nSLpJOB/q1JWXWP7j7UvW8BVku7LnalRxLYyJZJ0uKRHgceK+wdKuiJzLEjDF78iDZvNlzRG0ls38pyy1IZTFhVzDv1Im2WWTtKeks6X9BgwhrRdi2wfbXtMjkzrcT1pLdFJpJXrL5C+PFTBuaTewgpJSyS9JGlJ7lBAa7FX2UxJl0r6HNA7d6hGEcNlJZL0IOmNf5Ptg4trv6vSQrBiAd93gZG2myuQ53RSL+EA0qaUfYDzbX8/Q5Z24B7gE7b/WFybZ3u3srN0RdIM22/qdO1h24fkylR1knYhFUxsBXyO9EXmitrfOGyeGC4rme0/dSoVrsQeYZKOJFX6HAs8RBoGys72D4ub04DcH+Ynkcbu7yyGF68nTWBXyZ2STgVuKO6PAP4vY551FF9i9mDdIo4s58nUFmDafrK4tJwoZ37NRU+mRJJ+BnyLNNRyGPAZ4BDbp2bONZ+0ZcsNpF5W9vmi2oaOXclZkVcUSJxA2kj0GNJix5/bnpIxU+1sIJGGempfXpqBl6tQKVX0SkcBrye93g4D7rd9TKY8v7E9tLh9o+3cpfENKXoy5TqTNBQ1mLQl+xTSPEhuB9quwth4R1U5z+YVikb4WuDaYtPTk4Evk/6euTJV9vfVwShgGPCA7aOLTSlz9hw69kJz95IbVvRktmCSvmj70g5bsa+jAluwh00kaa9i37Kh63u8tso+J0kP2R6mdNrpcKcjtWfaPihTno49mTW3w2srejIlkvS99VxeDDxse1LZeSiq3ICHM/zfm0TSeGCU7UXF/e2ByzIvxqyic4EzgMs6XOv4xSHLkFQnT0vaDvgF8EtJC4FnNvKcejqwqG4T0KtDpZtIlerZhxgbQfRkSiRpLGnFc8eV4nOANwDzbH82U66DbWdfFb4+kn5bq8Tb0LUtnaRDgadsP1fcP430+noC+PfcZxZ1VhSa9ANuq+A2S+E1FI1MiSTdAbzD6bje2pkkU4B/Jm0Tv0+mXHeS9pGaCFxve06OHOsjaRZwlO2Fxf3+pPNk9s+brFok/QZ4e7F/2hGkyrdzSNv97217RMZsPUnzkbsDjwDjau+B0PhiuKxcg0mVP7WjensDryu2dFnR9dPqq5iEHUQqWx4raVtgQkXOk7kMuL/YXsakjBfnjVRJzR16K6cAY23fCNxYzIHkNJ60qPYeUon8PqQigLAFiEamXJeSVhXfRRr3PQK4pCiJzXreRzHM8r2iV/NF4HwqcJ6M7WuKvaWOIf3OTrT9aOZYVdQsqaXoIbyNND9Tk/t9vk+t5ylpHDA9c55Qotwvvi2K7XGSbgUOJX1gftV2beLzvFy5JO1N+vY7grTZ4/XA53PlKTJ1HmL5fgyxbNBPgWmS/kI6o+UeAEm7s7bnnMuanZZtt3VajBwaXMzJlEzSYGAXOjTwuVY810h6gPQhNbFDo5eVpAmsO8TyRK7CiO6i2LJ+J2BKbUGt0tHafXKWMEtazdqjLUQ6drmVqOLaIkQjUyJJ3yD1GOaQTleE9CbLdsyr0omd19iuxPkxNZIe6TDE0gJMj3UMIXQ/MVxWrhOAIbazTfJ3VhQd7KDqndgZQywhNIBoZMo1D+gBVKaRKTxJ9U7srC2Ug3UXy8UQSwjdSDQy5WolVZdNpUNDU4HtW54p/jVRkT3DqnDMQAhh88WcTImKVdivYHt82VlCCKEM0ciUTFIvYGfbc3NnqSnWxqxvg8wq7HcVQujGYrisRJLeB3yTdALfrpIOIp2/nq26rPCFDrd7kva8ijUpIYTNFj2ZEkmaQVq5fleH45fXlOpWiaRpto/MnSOE0L1FT6ZcbbYXdyrHzd7KF5tO1jQBhwCDMsUJITSQaGTK9TtJHyLtM7UH6fjl+zJnApjB2saujbQ9/CeypQkhNIym3AG2MOcA+5LKl38KLAGybZUiaZikQbZ3tb0b6Sjcx4t/sQllCGGzxZxMJsV2Lr1tL9noD9cvQ2XPIAkhNIboyZRI0nWSti229p8DzJWUbfdlujiDxPa/kXY/DiGEzRKNTLn2KXouJwC3AjsDH8mYp7nYfBLSGSR3dHgs5utCCJstPkjK1UNSD1IjM8b2Kkk5xyurfAZJCKEBRCNTrh+QKrdmAXdL2oU0+Z+F7YuLfdRqZ5DUGrwm0txMCCFslpj4z6zDkbkhhNBwYk6mRJJGFRP/kjSuqO6K/cFCCA0rGplyfbyY+H8HMAD4GPCfeSOFEEL9RCNTrtp+Mu8GrrI9q8O1EEJoONHIlGuGpCmkRuZ2SX2B9syZQgihbmLiv0SSmkir6efZXiRpB2Cw7dmZo4UQQl1ECXOJbLdLmg/sKaln7jwhhFBv0ciUSNLpwCjg9cBM4DDgfqLCLITQoGJOplyjgGHAk7aPBg4GXsgbKYQQ6icamXItt70cQNLWth8HhmTOFEIIdRPDZeV6WtJ2wC+AX0paCDyTOVMIIdRNVJdlIulIoB9wm+2VufOEEEI9RCNTgqKS7EzSGS2PAONiv7IQwpYgGpkSSJoArCJtpX8saeJ/VN5UIYRQf9HIlEDSI7b3L263ANNtD80cK4QQ6i6qy8qxqnYjhslCCFuS6MmUQNJqYGntLtALaC1u2/a2ubKFEEI9RSMTQgihbmK4LIQQQt1EIxNCCKFuopEJIYRQN9HIhBBCqJtoZEIIIdTN3wA+ZXGo6ALEMwAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "di.plot_correlation(data)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Create histogram: histogram(data,column, x_label, y_label, title)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "di.histogram(data,'Age', 'X axis', 'Y axis', 'Histogram')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Create bar plot: plot_bar(data, column, xlabel, ylabel, title)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "di.plot_bar(data, 'Sex', 'X axis', 'Y axis', 'Bar Plot')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Create boxplots of all features: box_plot(data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "di.box_plot(data)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Checking dataset's shape: datasetShape(data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The dataframe has 891 rows and 12 columns.\n"
+     ]
+    }
+   ],
+   "source": [
+    "di.datasetShape(data)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Get dataset's diagnostic plots: diagnostic_plots(data, variable)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1800x360 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "di.diagnostic_plots(data, 'Age')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Divide numerical and categorical features: divideFeatures(data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(     PassengerId  Survived  Pclass   Age  SibSp  Parch     Fare\n",
+       " 0              1         0       3  22.0      1      0   7.2500\n",
+       " 1              2         1       1  38.0      1      0  71.2833\n",
+       " 2              3         1       3  26.0      0      0   7.9250\n",
+       " 3              4         1       1  35.0      1      0  53.1000\n",
+       " 4              5         0       3  35.0      0      0   8.0500\n",
+       " ..           ...       ...     ...   ...    ...    ...      ...\n",
+       " 886          887         0       2  27.0      0      0  13.0000\n",
+       " 887          888         1       1  19.0      0      0  30.0000\n",
+       " 888          889         0       3   NaN      1      2  23.4500\n",
+       " 889          890         1       1  26.0      0      0  30.0000\n",
+       " 890          891         0       3  32.0      0      0   7.7500\n",
+       " \n",
+       " [891 rows x 7 columns],\n",
+       "                                                   Name     Sex  \\\n",
+       " 0                              Braund, Mr. Owen Harris    male   \n",
+       " 1    Cumings, Mrs. John Bradley (Florence Briggs Th...  female   \n",
+       " 2                               Heikkinen, Miss. Laina  female   \n",
+       " 3         Futrelle, Mrs. Jacques Heath (Lily May Peel)  female   \n",
+       " 4                             Allen, Mr. William Henry    male   \n",
+       " ..                                                 ...     ...   \n",
+       " 886                              Montvila, Rev. Juozas    male   \n",
+       " 887                       Graham, Miss. Margaret Edith  female   \n",
+       " 888           Johnston, Miss. Catherine Helen \"Carrie\"  female   \n",
+       " 889                              Behr, Mr. Karl Howell    male   \n",
+       " 890                                Dooley, Mr. Patrick    male   \n",
+       " \n",
+       "                Ticket Cabin Embarked  \n",
+       " 0           A/5 21171   NaN        S  \n",
+       " 1            PC 17599   C85        C  \n",
+       " 2    STON/O2. 3101282   NaN        S  \n",
+       " 3              113803  C123        S  \n",
+       " 4              373450   NaN        S  \n",
+       " ..                ...   ...      ...  \n",
+       " 886            211536   NaN        S  \n",
+       " 887            112053   B42        S  \n",
+       " 888        W./C. 6607   NaN        S  \n",
+       " 889            111369  C148        C  \n",
+       " 890            370376   NaN        Q  \n",
+       " \n",
+       " [891 rows x 5 columns])"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "di.divideFeatures(data)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Fill NaN values: fillNan(data, column, value)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "di.fillNan(data, 'Cabin', 'Missing')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting kde plots: plot_cont_kde(data, var)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x360 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "di.plot_cont_kde(data, 'Age')"
+   ]
+  }
+ ],
+ "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": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebook/train.csv b/notebook/train.csv
new file mode 100644
index 0000000..63b68ab
--- /dev/null
+++ b/notebook/train.csv
@@ -0,0 +1,892 @@
+PassengerId,Survived,Pclass,Name,Sex,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked
+1,0,3,"Braund, Mr. Owen Harris",male,22,1,0,A/5 21171,7.25,,S
+2,1,1,"Cumings, Mrs. John Bradley (Florence Briggs Thayer)",female,38,1,0,PC 17599,71.2833,C85,C
+3,1,3,"Heikkinen, Miss. Laina",female,26,0,0,STON/O2. 3101282,7.925,,S
+4,1,1,"Futrelle, Mrs. Jacques Heath (Lily May Peel)",female,35,1,0,113803,53.1,C123,S
+5,0,3,"Allen, Mr. William Henry",male,35,0,0,373450,8.05,,S
+6,0,3,"Moran, Mr. James",male,,0,0,330877,8.4583,,Q
+7,0,1,"McCarthy, Mr. Timothy J",male,54,0,0,17463,51.8625,E46,S
+8,0,3,"Palsson, Master. Gosta Leonard",male,2,3,1,349909,21.075,,S
+9,1,3,"Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)",female,27,0,2,347742,11.1333,,S
+10,1,2,"Nasser, Mrs. Nicholas (Adele Achem)",female,14,1,0,237736,30.0708,,C
+11,1,3,"Sandstrom, Miss. Marguerite Rut",female,4,1,1,PP 9549,16.7,G6,S
+12,1,1,"Bonnell, Miss. Elizabeth",female,58,0,0,113783,26.55,C103,S
+13,0,3,"Saundercock, Mr. William Henry",male,20,0,0,A/5. 2151,8.05,,S
+14,0,3,"Andersson, Mr. Anders Johan",male,39,1,5,347082,31.275,,S
+15,0,3,"Vestrom, Miss. Hulda Amanda Adolfina",female,14,0,0,350406,7.8542,,S
+16,1,2,"Hewlett, Mrs. (Mary D Kingcome) ",female,55,0,0,248706,16,,S
+17,0,3,"Rice, Master. Eugene",male,2,4,1,382652,29.125,,Q
+18,1,2,"Williams, Mr. Charles Eugene",male,,0,0,244373,13,,S
+19,0,3,"Vander Planke, Mrs. Julius (Emelia Maria Vandemoortele)",female,31,1,0,345763,18,,S
+20,1,3,"Masselmani, Mrs. Fatima",female,,0,0,2649,7.225,,C
+21,0,2,"Fynney, Mr. Joseph J",male,35,0,0,239865,26,,S
+22,1,2,"Beesley, Mr. Lawrence",male,34,0,0,248698,13,D56,S
+23,1,3,"McGowan, Miss. Anna ""Annie""",female,15,0,0,330923,8.0292,,Q
+24,1,1,"Sloper, Mr. William Thompson",male,28,0,0,113788,35.5,A6,S
+25,0,3,"Palsson, Miss. Torborg Danira",female,8,3,1,349909,21.075,,S
+26,1,3,"Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)",female,38,1,5,347077,31.3875,,S
+27,0,3,"Emir, Mr. Farred Chehab",male,,0,0,2631,7.225,,C
+28,0,1,"Fortune, Mr. Charles Alexander",male,19,3,2,19950,263,C23 C25 C27,S
+29,1,3,"O'Dwyer, Miss. Ellen ""Nellie""",female,,0,0,330959,7.8792,,Q
+30,0,3,"Todoroff, Mr. Lalio",male,,0,0,349216,7.8958,,S
+31,0,1,"Uruchurtu, Don. Manuel E",male,40,0,0,PC 17601,27.7208,,C
+32,1,1,"Spencer, Mrs. William Augustus (Marie Eugenie)",female,,1,0,PC 17569,146.5208,B78,C
+33,1,3,"Glynn, Miss. Mary Agatha",female,,0,0,335677,7.75,,Q
+34,0,2,"Wheadon, Mr. Edward H",male,66,0,0,C.A. 24579,10.5,,S
+35,0,1,"Meyer, Mr. Edgar Joseph",male,28,1,0,PC 17604,82.1708,,C
+36,0,1,"Holverson, Mr. Alexander Oskar",male,42,1,0,113789,52,,S
+37,1,3,"Mamee, Mr. Hanna",male,,0,0,2677,7.2292,,C
+38,0,3,"Cann, Mr. Ernest Charles",male,21,0,0,A./5. 2152,8.05,,S
+39,0,3,"Vander Planke, Miss. Augusta Maria",female,18,2,0,345764,18,,S
+40,1,3,"Nicola-Yarred, Miss. Jamila",female,14,1,0,2651,11.2417,,C
+41,0,3,"Ahlin, Mrs. Johan (Johanna Persdotter Larsson)",female,40,1,0,7546,9.475,,S
+42,0,2,"Turpin, Mrs. William John Robert (Dorothy Ann Wonnacott)",female,27,1,0,11668,21,,S
+43,0,3,"Kraeff, Mr. Theodor",male,,0,0,349253,7.8958,,C
+44,1,2,"Laroche, Miss. Simonne Marie Anne Andree",female,3,1,2,SC/Paris 2123,41.5792,,C
+45,1,3,"Devaney, Miss. Margaret Delia",female,19,0,0,330958,7.8792,,Q
+46,0,3,"Rogers, Mr. William John",male,,0,0,S.C./A.4. 23567,8.05,,S
+47,0,3,"Lennon, Mr. Denis",male,,1,0,370371,15.5,,Q
+48,1,3,"O'Driscoll, Miss. Bridget",female,,0,0,14311,7.75,,Q
+49,0,3,"Samaan, Mr. Youssef",male,,2,0,2662,21.6792,,C
+50,0,3,"Arnold-Franchi, Mrs. Josef (Josefine Franchi)",female,18,1,0,349237,17.8,,S
+51,0,3,"Panula, Master. Juha Niilo",male,7,4,1,3101295,39.6875,,S
+52,0,3,"Nosworthy, Mr. Richard Cater",male,21,0,0,A/4. 39886,7.8,,S
+53,1,1,"Harper, Mrs. Henry Sleeper (Myna Haxtun)",female,49,1,0,PC 17572,76.7292,D33,C
+54,1,2,"Faunthorpe, Mrs. Lizzie (Elizabeth Anne Wilkinson)",female,29,1,0,2926,26,,S
+55,0,1,"Ostby, Mr. Engelhart Cornelius",male,65,0,1,113509,61.9792,B30,C
+56,1,1,"Woolner, Mr. Hugh",male,,0,0,19947,35.5,C52,S
+57,1,2,"Rugg, Miss. Emily",female,21,0,0,C.A. 31026,10.5,,S
+58,0,3,"Novel, Mr. Mansouer",male,28.5,0,0,2697,7.2292,,C
+59,1,2,"West, Miss. Constance Mirium",female,5,1,2,C.A. 34651,27.75,,S
+60,0,3,"Goodwin, Master. William Frederick",male,11,5,2,CA 2144,46.9,,S
+61,0,3,"Sirayanian, Mr. Orsen",male,22,0,0,2669,7.2292,,C
+62,1,1,"Icard, Miss. Amelie",female,38,0,0,113572,80,B28,
+63,0,1,"Harris, Mr. Henry Birkhardt",male,45,1,0,36973,83.475,C83,S
+64,0,3,"Skoog, Master. Harald",male,4,3,2,347088,27.9,,S
+65,0,1,"Stewart, Mr. Albert A",male,,0,0,PC 17605,27.7208,,C
+66,1,3,"Moubarek, Master. Gerios",male,,1,1,2661,15.2458,,C
+67,1,2,"Nye, Mrs. (Elizabeth Ramell)",female,29,0,0,C.A. 29395,10.5,F33,S
+68,0,3,"Crease, Mr. Ernest James",male,19,0,0,S.P. 3464,8.1583,,S
+69,1,3,"Andersson, Miss. Erna Alexandra",female,17,4,2,3101281,7.925,,S
+70,0,3,"Kink, Mr. Vincenz",male,26,2,0,315151,8.6625,,S
+71,0,2,"Jenkin, Mr. Stephen Curnow",male,32,0,0,C.A. 33111,10.5,,S
+72,0,3,"Goodwin, Miss. Lillian Amy",female,16,5,2,CA 2144,46.9,,S
+73,0,2,"Hood, Mr. Ambrose Jr",male,21,0,0,S.O.C. 14879,73.5,,S
+74,0,3,"Chronopoulos, Mr. Apostolos",male,26,1,0,2680,14.4542,,C
+75,1,3,"Bing, Mr. Lee",male,32,0,0,1601,56.4958,,S
+76,0,3,"Moen, Mr. Sigurd Hansen",male,25,0,0,348123,7.65,F G73,S
+77,0,3,"Staneff, Mr. Ivan",male,,0,0,349208,7.8958,,S
+78,0,3,"Moutal, Mr. Rahamin Haim",male,,0,0,374746,8.05,,S
+79,1,2,"Caldwell, Master. Alden Gates",male,0.83,0,2,248738,29,,S
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diff --git a/setup.py b/setup.py
index 012c457..f652808 100644
--- a/setup.py
+++ b/setup.py
@@ -10,7 +10,7 @@
     long_description=open('README.md').read() + '\n\n' + open('CHANGELOG.txt').read(),
     License='MIT',
     long_description_content_type="text/markdown",
-    url="",
+    url="https://github.com/AmitHasanShuvo/data-inspector",
     keywords='eda',
     packages=setuptools.find_packages(),
     classifiers=[