diff --git a/.Rhistory b/.Rhistory
new file mode 100644
index 0000000..e69de29
diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000..50481e3
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,13 @@
+FROM python
+WORKDIR /Hammad_Khi_Assignment2_py
+ADD . /Hammad_Khi_Assignment2_py
+RUN pip install numpy
+RUN pip install pandas
+RUN pip install jupyter
+RUN apt-get update && \
+    apt-get install -y curl python-pip && \
+    pip install requests && \
+    apt-get remove -y python-pip curl && \
+    rm -rf /var/lib/apt/lists/*
+EXPOSE 8888
+CMD ["jupyter", "notebook", "--port=8888", "--no-browser", "--ip=0.0.0.0", "--allow-root"]
diff --git a/HAK_Khi_Assignment2_py.ipynb b/HAK_Khi_Assignment2_py.ipynb
new file mode 100644
index 0000000..974ee4c
--- /dev/null
+++ b/HAK_Khi_Assignment2_py.ipynb
@@ -0,0 +1,661 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ImportError",
+     "evalue": "No module named 'pandas'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mImportError\u001b[0m                               Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-1-ebe645e58807>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mpandas\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mdatetime\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mdt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mcalendar\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mcl\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_option\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'display.max_rows'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m500\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mImportError\u001b[0m: No module named 'pandas'"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import datetime as dt\n",
+    "import calendar as cl\n",
+    "pd.set_option('display.max_rows', 500)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Reading CSV from current directory\n",
+    "df = pd.read_csv('hospitaldata.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['Date' 'id' 'Time' 'Age' 'Sex' 'Consulting..Doctor' 'Specialty'\n",
+      " 'Procedure' 'Total..Charges' 'Amount..Received.' 'Amount..Balance'\n",
+      " 'Amount.Received.By' 'Amount.in.Hospital' 'Receptionist..Name' 'Next.Apt']\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Cleaning column names \n",
+    "print(df.columns.values)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.columns = df.columns.str.replace('.','')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Convert object to datetime\n",
+    "df.Date=pd.to_datetime(df.Date)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel\\__main__.py:2: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
+      "  from ipykernel import kernelapp as app\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Cleaning Time column\n",
+    "df.Time[df.Time == '-'] = np.nan"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Cleaning column to upper case as it having one small 'f'\n",
+    "df[df.Sex == '-'] = np.nan\n",
+    "df.Sex = df.Sex.str.upper()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel\\__main__.py:2: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
+      "  from ipykernel import kernelapp as app\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Place nan wherever there is cancelled placed in total charges\n",
+    "df.TotalCharges[df.TotalCharges == 'Cancelled'] = np.nan\n",
+    "df.TotalCharges = df.TotalCharges.astype(float)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Average Age is  32.5721649485\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.Age.replace(\"[^0-9]\",'',regex=True,inplace=True)\n",
+    "df.Age.replace(\"\",np.nan,regex=True,inplace=True)\n",
+    "x = np.array(df.Age).astype(float)\n",
+    "print(\"Average Age is \",str(np.nanmean(x)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel\\__main__.py:2: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
+      "  from ipykernel import kernelapp as app\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Place nan wherever there is cancelled placed in Procedure\n",
+    "df.Procedure[df.Procedure == 'Cancelled'] = np.nan"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Most visited day of visitor was Monday\n"
+     ]
+    }
+   ],
+   "source": [
+    "#(df.Date.groupby([df.Date]).count())\n",
+    "print(\"Most visited day of visitor was\",str(cl.day_name[(df.Date.value_counts().idxmax()).weekday()]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Number of childern entertained were 24\n"
+     ]
+    }
+   ],
+   "source": [
+    "#4. How many children were entertained? (Make a Bracket of Age from 1-12)\n",
+    "a = x[pd.notnull(x)]\n",
+    "print(\"Number of childern entertained were\",str(len(a[(a >= 1) & (a <= 12)])))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Sex        \n",
+       "F    count              100\n",
+       "     unique              29\n",
+       "     top       Consultation\n",
+       "     freq                46\n",
+       "M    count              104\n",
+       "     unique              28\n",
+       "     top       Consultation\n",
+       "     freq                37\n",
+       "Name: Procedure, dtype: object"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#5. Which gender type had what kind of procedure in abundance? i.e. Female visit mostly because of Gynae Problem \n",
+    "bytreatement = df.groupby(df.Sex)\n",
+    "bytreatement['Procedure'].describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Highest paid doctor is Dr Alaf Khan\n"
+     ]
+    }
+   ],
+   "source": [
+    "#6. Which Doctor is earning highest? \n",
+    "bydoctor = df.groupby(df.ConsultingDoctor)\n",
+    "print(\"Highest paid doctor is\",str(bydoctor['TotalCharges'].aggregate(np.sum).idxmax()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Highest earning procedure is Orthodontics worth 240000.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "#7. Which procedure type earns more money? \n",
+    "byProcedure = df.groupby(df.Procedure)\n",
+    "print(\"Highest earning procedure is\",str(byProcedure['TotalCharges'].sum().idxmax()),\"worth\",str(byProcedure['TotalCharges'].sum().max()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "Can only use .dt accessor with datetimelike values",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\series.py\u001b[0m in \u001b[0;36m_make_dt_accessor\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   2740\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2741\u001b[0;31m             \u001b[1;32mreturn\u001b[0m \u001b[0mmaybe_to_datetimelike\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2742\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\tseries\\common.py\u001b[0m in \u001b[0;36mmaybe_to_datetimelike\u001b[0;34m(data, copy)\u001b[0m\n\u001b[1;32m     84\u001b[0m     raise TypeError(\"cannot convert an object of type {0} to a \"\n\u001b[0;32m---> 85\u001b[0;31m                     \"datetimelike index\".format(type(data)))\n\u001b[0m\u001b[1;32m     86\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mTypeError\u001b[0m: cannot convert an object of type <class 'pandas.core.series.Series'> to a datetimelike index",
+      "\nDuring handling of the above exception, another exception occurred:\n",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-16-a3c2853d5236>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[1;31m#8. Which time of the day has highest frequency of visits by hour?\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mTime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhour\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalue_counts\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0midxmax\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m\"have highest visits of\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mstr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mTime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhour\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalue_counts\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmax\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m   2738\u001b[0m         if (name in self._internal_names_set or name in self._metadata or\n\u001b[1;32m   2739\u001b[0m                 name in self._accessors):\n\u001b[0;32m-> 2740\u001b[0;31m             \u001b[1;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2741\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   2742\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mname\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_info_axis\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\base.py\u001b[0m in \u001b[0;36m__get__\u001b[0;34m(self, instance, owner)\u001b[0m\n\u001b[1;32m    239\u001b[0m             \u001b[1;31m# this ensures that Series.str.<method> is well defined\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    240\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0maccessor_cls\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m--> 241\u001b[0;31m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconstruct_accessor\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minstance\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    242\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    243\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m__set__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0minstance\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\series.py\u001b[0m in \u001b[0;36m_make_dt_accessor\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   2741\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mmaybe_to_datetimelike\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   2742\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2743\u001b[0;31m             raise AttributeError(\"Can only use .dt accessor with datetimelike \"\n\u001b[0m\u001b[1;32m   2744\u001b[0m                                  \"values\")\n\u001b[1;32m   2745\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mAttributeError\u001b[0m: Can only use .dt accessor with datetimelike values"
+     ]
+    }
+   ],
+   "source": [
+    "#8. Which time of the day has highest frequency of visits by hour?\n",
+    "print(str(int(df.Time.dt.hour.value_counts().idxmax())),\"have highest visits of\",str(df.Time.dt.hour.value_counts().max()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Q9 Create a bracket of time by Morning, Afternoon, Evening, Night (6am – 12pm – Morning, 12 pm- 4 pm, Afternoon, 4 pm- 7pm, Evening, 7pm – 6 am, Night).\n",
+    "def bracket(hours):\n",
+    "    if  hours >= 6 and hours < 12:\n",
+    "        return \"Morning\"\n",
+    "    elif hours >= 12 and hours < 14:\n",
+    "        return \"Afternoon\"\n",
+    "    elif  hours >= 14 and hours < 19:\n",
+    "        return \"Evening\"\n",
+    "    elif  hours >= 19 and hours <= 23 or hours >= 0 and hours < 6 :\n",
+    "        return \"Night\"\n",
+    "    else:\n",
+    "        return np.NAN\n",
+    "    \n",
+    "df['Time_brackets']=df.Time.dt.hour.apply(bracket)\n",
+    "print(df.Time_brackets)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Number of repeated patients are  37\n"
+     ]
+    }
+   ],
+   "source": [
+    "#10. How many patients are repeated visitors?\n",
+    "array = pd.value_counts(df['id'].values, sort=True)\n",
+    "print(\"Number of repeated patients are \",str(len(array[array > 1])))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Id of repeated visitors are : \n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "1.0      12\n",
+       "122.0     5\n",
+       "46.0      5\n",
+       "94.0      4\n",
+       "17.0      4\n",
+       "140.0     4\n",
+       "107.0     3\n",
+       "132.0     3\n",
+       "63.0      3\n",
+       "145.0     3\n",
+       "45.0      3\n",
+       "114.0     3\n",
+       "101.0     3\n",
+       "109.0     3\n",
+       "40.0      2\n",
+       "12.0      2\n",
+       "150.0     2\n",
+       "64.0      2\n",
+       "13.0      2\n",
+       "88.0      2\n",
+       "97.0      2\n",
+       "80.0      2\n",
+       "151.0     2\n",
+       "59.0      2\n",
+       "149.0     2\n",
+       "116.0     2\n",
+       "118.0     2\n",
+       "112.0     2\n",
+       "25.0      2\n",
+       "20.0      2\n",
+       "96.0      2\n",
+       "153.0     2\n",
+       "120.0     2\n",
+       "133.0     2\n",
+       "130.0     2\n",
+       "100.0     2\n",
+       "4.0       2\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#11. Give us the id of repeated visitors.\n",
+    "print(\"Id of repeated visitors are : \")\n",
+    "array[array > 1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id\n",
+       "1.0      12\n",
+       "4.0       2\n",
+       "12.0      2\n",
+       "13.0      2\n",
+       "17.0      4\n",
+       "20.0      2\n",
+       "25.0      2\n",
+       "40.0      2\n",
+       "45.0      3\n",
+       "46.0      5\n",
+       "59.0      2\n",
+       "63.0      3\n",
+       "64.0      2\n",
+       "80.0      2\n",
+       "88.0      2\n",
+       "94.0      4\n",
+       "96.0      2\n",
+       "97.0      2\n",
+       "100.0     2\n",
+       "101.0     3\n",
+       "107.0     3\n",
+       "109.0     3\n",
+       "112.0     2\n",
+       "114.0     3\n",
+       "116.0     2\n",
+       "118.0     2\n",
+       "120.0     2\n",
+       "122.0     5\n",
+       "130.0     2\n",
+       "132.0     3\n",
+       "133.0     2\n",
+       "140.0     4\n",
+       "145.0     3\n",
+       "149.0     2\n",
+       "150.0     2\n",
+       "151.0     2\n",
+       "153.0     2\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#12. Which patients visited again for the same problem? \n",
+    "bypatientProcedure = df.groupby(df.id)\n",
+    "patients_repeat = bypatientProcedure['Procedure'].size()[bypatientProcedure['Procedure'].size() > 1]\n",
+    "patients_repeat"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Sex\n",
+       "F    30.0\n",
+       "M    29.0\n",
+       "Name: Age, dtype: float64"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 13. What is the median age for Females and Males? \n",
+    "df.Age = pd.to_numeric(df.Age)\n",
+    "df.groupby('Sex')['Age'].median()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "222500.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "#14. What is the total amount in balance? \n",
+    "df.replace(to_replace=df['AmountBalance'].unique()[0], value=np.nan, inplace=True)\n",
+    "df['AmountBalance']=df['AmountBalance'].map(lambda x: str(x).replace(',',''))\n",
+    "df['AmountBalance'] = df['AmountBalance'].astype(float)\n",
+    "print(df['AmountBalance'].sum())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Money made by Consultation is 82450.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "#15. How much money was made by Procedure Type “Consultation”? \n",
+    "print(\"Money made by Consultation is\",df.TotalCharges[df.Procedure == \"Consultation\"].sum())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Its shows that it has positive relation.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>TotalCharges</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Age</th>\n",
+       "      <td>0.029521</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     TotalCharges\n",
+       "Age      0.029521"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#16.  Is there a relation between Age and Total Charges paid? \n",
+    "print(\"Its shows that it has positive relation.\")\n",
+    "df.corr().loc[['Age'],['TotalCharges']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Age group of 30\n"
+     ]
+    }
+   ],
+   "source": [
+    "#17. Which Age group had highest number of visits? \n",
+    "print(\"Age group of\",str(int(df.Age.value_counts().idxmax())))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total cost is  16500.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "#18. What is the total cost earned by Procedure Type X Ray and Scalling together? \n",
+    "print(\"Total cost is \",str(df[(df.Procedure== 'X Rays') | (df.Procedure == 'Scalling')]['TotalCharges'].sum()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.to_csv(\"CleanData.csv\")"
+   ]
+  }
+ ],
+ "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": "3.5.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/README.md b/README.md
index ee19b22..8a62a04 100644
--- a/README.md
+++ b/README.md
@@ -1 +1,55 @@
-# Dockers_Assignment_1
\ No newline at end of file
+# Docker Assignment 1
+
+Assignment docker for jupyter notebook usage.
+
+## Getting Started
+
+Docker image contains a python assignment 2 with .ipynb file. Contains two csv files.
+
+### Prerequisites
+
+Need to have docker installed.
+Version used is Docker version 17.04.0-ce, build 4845c56.
+```
+docker -v
+```
+
+### Installing
+
+You can go to link for further details
+* [DockerHub](https://hub.docker.com/r/hakd/python/) - The Docker Hub.
+
+You can also install it using command.
+```
+docker pull hakd/python
+```
+OR
+```
+docker pull hakd/python:latest
+```
+
+## Running the image
+
+You can run docker using following command
+```
+docker run -it -p 8888:8888 hakd/python:latest
+```
+
+## Running through Dockerfile
+
+### Build Image
+
+```
+docker build -t hakd/python .
+```
+
+### Run Image
+
+```
+docker run -it -p 8888:8888 hakd/python:latest
+```
+
+## Authors
+
+Hammad Ali Khan
+See also the list of [Hammad Docker Hub](https://hub.docker.com/u/hakd/).
diff --git a/hospitaldata.csv b/hospitaldata.csv
new file mode 100644
index 0000000..f7383b8
--- /dev/null
+++ b/hospitaldata.csv
@@ -0,0 +1,223 @@
+Date,id,Time,Age,Sex,Consulting..Doctor,Specialty,Procedure,Total..Charges,Amount..Received.,Amount..Balance,Amount.Received.By,Amount.in.Hospital,Receptionist..Name,Next.Apt
+"Sunday, January 01, 2017",101,11:00AM,40,F,Dr Kinza Alam,Gynae,C Section,30000,30000, -   , Mrs Shamsa ,,Hamza,
+"Monday, January 02, 2017",150,10:45AM,26,M,Nursing Staff,,Dressing,1500,1500, -   , Dr Saniya ,,Haris,
+"Monday, January 02, 2017",58,12:38PM,30,F,Dr Riffat Naheed,Psychotherapist,Consultation,1000,1000, -   , Mrs Shamsa ,300,Fiza,
+"Monday, January 02, 2017",75,1:00PM,40,M,Dr Riffat Naheed,Psychotherapist,Consultation,1500,1500, -   , Mrs Shamsa ,450,Zaheer,
+"Monday, January 02, 2017",97,2:45PM,27,M,Dr Riffat Naheed,Psychotherapist,Consultation,2000,2000, -   , Mrs Shamsa ,600,Haris,
+"Monday, January 02, 2017",101,3:00PM,40,F,Dr Kinza Alam,Gynae,C Section,35000,35000, -   , Dr Saniya ,,Haris,
+"Monday, January 02, 2017",26,3:28PM,43,M,Dr Saniya,M/o,Consultation,2000,2000, -   , Dr Saniya ,,Fiza,
+"Monday, January 02, 2017",149,3:45PM,28,F,Dr Fakiha,Dentist,Consultation,500,500, -   , Mrs Shamsa ,500,Haris,
+"Monday, January 02, 2017",20,3:45PM,2,F,Dr Fakiha,Dentist,Consultation,Cancelled,,,,,,
+"Monday, January 02, 2017",72,5:00PM,40,M,Dr Fakiha,Dentist,Consultation,500,500, -   , Mrs Shamsa ,500,Fiza,
+"Monday, January 02, 2017",54,5:00PM,32,F,Dr Saniya,M/o,Consultation,2000,2000, -   , Dr Saniya ,,Fiza,
+"Monday, January 02, 2017",149,5:30PM,28,F,Dr Fakiha,Dentist,Filling,2000,2000, -   , Mrs Shamsa ,2000,Fiza,In case of pain
+"Tuesday, January 03, 2017",120,1:00PM,76,F,Dr Saniya,M/o,Laboratory Test,,, -   ,,,Haris,
+"Tuesday, January 03, 2017",120,3:25PM,75,F,Dr Saniya,M/o,,Cancelled,,,,,,
+"Tuesday, January 03, 2017",20,6:10PM,36,F,Dr Kinza Alam,Gynae,Consultation,1500,1500, -   , Mrs Shamsa ,450,Haris,
+"Wednesday, January 04, 2017",40,11:45PM,42,F,Dr Alaf Khan,Dentist,Consultation+Denture,1500,1500, -   , Brig Farrukh ,,Fiza,
+"Wednesday, January 04, 2017",134,12:40PM,23,F,Dr Alaf Khan,Dentist,Consultation,500,500, -   , Brig Farrukh ,500,Fiza,
+"Wednesday, January 04, 2017",86,8:10PM,48,F,Dr Kinza Alam,Gynae,Consultation,1500,1500, -   , Brig Farrukh ,450,Haris,
+"Wednesday, January 04, 2017",114,8:30PM,25,F,Dr Kinza Alam,Gynae,Consultation,1000,1000, -   , Brig Farrukh ,300,Haris,
+"Thursday, January 05, 2017",155,12:40PM,50,F,Dr Alaf Khan,Dentist,Extraction,2000,2000, -   , Brig Farrukh ,2000,Fiza,
+"Thursday, January 05, 2017",45,2:00PM,60,F,Dr Alaf Khan,Dentist,R.P.D + Crown,4000,4000,, Brig Farrukh ,4000,Haris,
+"Thursday, January 05, 2017",4,2:00PM,-,M,Dr Irfan,General Surgeon,Consultation + Dressing,5000,5000, -   , Brig Farrukh ,4000,Haris,
+"Friday, January 06, 2017",38,12:30PM,-,M,Dr Riffat Naheed,Psychotherapist,Consultation,1000,1000, -   , Mrs Shamsa ,300,Haris,
+"Friday, January 06, 2017",130,1:00PM,26,M,Dr Riffat Naheed,Psychotherapist,Consultation,1000,1000, -   , Mrs Shamsa ,300,Haris,
+"Friday, January 06, 2017",97,1:30PM,27,M,Dr Riffat Naheed,Psychotherapist,Consultation,1000,1000, -   , Mrs Shamsa ,300,Haris,
+"Friday, January 06, 2017",50,-,-,M,Dr Alaf Khan,Dentist,Consultation,500,500, -   , Mrs Shamsa ,500,Haris,
+"Friday, January 06, 2017",78,8:15PM,57,F,Dr Ali,Orthopedic,Consultation,6000,6000, -   , Mrs Shamsa ,3000,Haris,
+"Saturday, January 07, 2017",1,,,,Nursing Staff,,Pharmacy,,, -   ,,,,
+"Monday, January 09, 2017",48,12:36PM,39,F,Dr Alaf Khan,Dentist,Consultation,500,500, -   , Mrs Shamsa ,500,Fiza,
+"Monday, January 09, 2017",79,1:30PM,6,F,Dr Alaf Khan,Dentist,Consultation,500,500, -   , Mrs Shamsa ,500,Fiza,
+"Monday, January 09, 2017",116,2:30PM,26,M,Dr Alaf Khan,Dentist,X Ray,300,300, -   , Mrs Shamsa ,300,Haris,
+"Monday, January 09, 2017",45,3:15PM,60,F,Dr Alaf Khan,Dentist,R.P.D + Crown,7000,7000, -   , Mrs Shamsa ,7000,Fiza,
+"Monday, January 09, 2017",67,5:20PM,26,M,Dr Alaf Khan,Dentist,Consultation+X Ray,800,800, -   , Mrs Shamsa ,800,Fiza,
+"Monday, January 09, 2017",36,5:30PM,5,F,Dr Alaf Khan,Dentist,Consultation,250,250, -   , Mrs Shamsa ,250,Fiza,
+"Tuesday, January 10, 2017",17,3:50PM,40,M,Dr Alaf Khan,Dentist,RCT (4 teeth) Bridge (9 teeth),10000,10000, -   , Mrs Shamsa ,,Fiza,1/16/2017
+"Tuesday, January 10, 2017",84,6:00PM,9,F,Dr Irfan,General Surgeon,Consultation +   X Ray,3000,3000, -   , Mrs Shamsa ,3000,Mona,
+"Tuesday, January 10, 2017",1,,,,Nursing Staff,,Pharmacy,,, -   ,,,,
+"Wednesday, January 11, 2017",57,,30,F,Dr Alaf Khan,Dentist,Laboratory Test,,, -   , Mrs Shamsa ,,,
+"Wednesday, January 11, 2017",119,3:00PM,40,F,Dr Ammara,Gynae,Consultation + USG,1500,1500, -   , Mrs Shamsa ,500,Fiza,
+"Wednesday, January 11, 2017",145,4:30PM,29,M,Dr Alaf Khan,Dentist,Crown,3000,3000, -   , Mrs Shamsa ,,Fiza,
+"Wednesday, January 11, 2017",92,4:30PM,39,F,Dr Alaf Khan,Dentist,Consultation,500,500, -   , Mrs Shamsa ,500,Fiza,
+"Thursday, January 12, 2017",63,10:45AM,50,M,Dr Alaf Khan,Dentist,Consultation,500,500, -   , Mrs Shamsa ,500,Fiza,
+"Thursday, January 12, 2017",63,02:00PM,50,M,Dr Alaf Khan,Dentist,Scalling,3000,3000, -   , Mrs Shamsa ,3000,Fiza,
+"Thursday, January 12, 2017",63,02:00PM,50,M,Brig Asif,Medical Specialist,Consultation,500,500, -   , Mrs Shamsa ,150,Fiza,
+"Friday, January 13, 2017",45,11:20AM,60,F,Dr Alaf Khan,Dentist,Polishing,500,500, -   , Mrs Shamsa ,500,Haris,
+"Friday, January 13, 2017",145,3:00PM,29,M,Dr Fakiha,Dentist,Crown,1500,1500, -   , Mrs Shamsa ,1500,Fiza,
+"Friday, January 13, 2017",70,8:00PM,48,M,Brig Farrukh,Anaesthetist,Consultation,3750,3750, -   , Dr Ammad ,3750,Mona,
+"Saturday, January 14, 2017",88,4:30PM,45,F,Dr Fakiha,Dentist,Filling + X Rays,2600,2600, -   , Dr Ammad ,2600,Haris,
+"Saturday, January 14, 2017",40,6:30PM,42,F,Dr Fakiha,Dentist,Denture+Scalling+Filling,5500,5500, -   , Dr Ammad ,5500,Haris,
+"Sunday, January 15, 2017",42,9:00PM,29,F,Nursing Staff,,Pharmacy,900,900, -   , Dilshad ,900,Zaheer,
+"Monday, January 16, 2017",7,,26,M,Nursing Staff,,Laboratory Test,,, -   ,,,,
+"Monday, January 16, 2017",106,1:30PM,34,M,Dr Alaf Khan,Dentist,Crown,5000,5000, -   , Dr Ammad ,5000,Fiza,
+"Monday, January 16, 2017",22,6:00PM,50,F,Dr Zubair,M/o,Consultation,1000,1000, -   , Dr Ammad ,400,Haris,
+"Monday, January 16, 2017",88,6:20PM,45,F,Dr Fakiha,Dentist,Extraction,2500,2500, -   , Dr Ammad ,2500,Haris,1/23/2017
+"Tuesday, January 17, 2017",52,11:25AM,30,M,Dr Alaf Khan,Dentist,RCT,3000,3000, -   , Mrs Shamsa ,3000,Fiza,1/20/2017
+"Tuesday, January 17, 2017",17,11:15AM,40,M,Dr Alaf Khan,Dentist,RCT (4 teeth) Bridge (9 teeth),38000,38000, -   , Mrs Shamsa ,38000,Fiza,
+"Tuesday, January 17, 2017",17,1:10PM,40,M,Brig Asif,Medical Specialist,Consultation,1000,1000, -   , Mrs Shamsa ,300,Haris,
+"Tuesday, January 17, 2017",136,3:30PM,29,M,Dr Fakiha,Dentist,Scalling,4000,4000, -   , Mrs Shamsa ,4000,Fiza,
+"Tuesday, January 17, 2017",27,6:15PM,27,M,Dr Fakiha,Dentist,Filling,2000,2000, -   , Mrs Shamsa ,2000,Sohaib,1/19/2017
+"Wednesday, January 18, 2017",71,9:40PM,23,M,Dr Alaf Khan,Dentist,X Ray,300,300, -   ,,300,Haris,
+"Wednesday, January 18, 2017",12,12:00PM,60,F,Dr Alaf Khan,Dentist,22 Unit Bridge,25500,25500, -   ,,25500,Haris,
+"Wednesday, January 18, 2017",127,2:00PM,52,F,Dr Alaf Khan,Dentist,Extraction,1000,1000, -   ,,1000,Haris,
+"Wednesday, January 18, 2017",82,5:00PM,21,M,Dr Zubair,M/o,Consultation,500,500, -   ,,500,Haris,
+"Thursday, January 19, 2017",103,,32,M,Nursing Staff,,Laboratory Test,,, -   ,,,,
+"Thursday, January 19, 2017",31,11:00AM,58,f,Dr Alaf Khan,Dentist,Consultation,500,500, -   , Mrs Shamsa ,500,Haris,
+"Thursday, January 19, 2017",1,,,,Nursing Staff,,Pharmacy,,, -   ,,,,
+"Thursday, January 19, 2017",1,,,,Nursing Staff,,Pharmacy,,, -   ,,,,
+"Friday, January 20, 2017",1,,,,Nursing Staff,,Pharmacy,,, -   ,,,,
+"Saturday, January 21, 2017",131,10:15AM,26,F,Dr Alaf Khan,Dentist,X Ray,300,300, -   , Mrs Shamsa ,300,Haris,
+"Saturday, January 21, 2017",101,1:20PM,40,F,Dr Kinza Alam,Gynae,Consultation,1200,1200, -   , Mrs Shamsa ,360,Haris,
+"Saturday, January 21, 2017",145,1:30PM,29,M,Dr Fakiha,Dentist,Crown,500,500, -   , Mrs Shamsa ,500,Haris,
+"Monday, January 23, 2017",144,12:15PM,33,M,Dr Riffat Naheed,Psychotherapist,Consultation,1000,1000, -   , Mrs Shamsa ,300,Haris,
+"Monday, January 23, 2017",37,1:00PM,30,F,Dr Riffat Naheed,Psychotherapist,Consultation,1000,1000, -   , Mrs Shamsa ,300,Haris,
+"Monday, January 23, 2017",135,1:15PM,28,F,Dr Riffat Naheed,Psychotherapist,Consultation,2000,2000, -   , Mrs Shamsa ,600,Haris,
+"Monday, January 23, 2017",59,4:50PM,10,M,Dr Ali,Child Specialist,Consultation+ER Retain,2800,2800, -   , Mrs Shamsa ,1600,Haris,
+"Tuesday, January 24, 2017",130,1:00PM,26,M,Dr Riffat Naheed,Psychotherapist,Consultation,800,800, -   , Mrs Shamsa ,240,Haris,
+"Tuesday, January 24, 2017",104,1:15PM,19,M,Dr Riffat Naheed,Psychotherapist,Consultation,2000,2000, -   , Mrs Shamsa ,600,Haris,
+"Tuesday, January 24, 2017",98,2:10PM,53,F,Dr Saad,Orthopedic,Consultation,1000,1000, -   , Mrs Shamsa ,600,Haris,
+"Tuesday, January 24, 2017",102,1:30PM,30,M,Dr Riffat Naheed,Psychotherapist,Consultation,1000,1000, -   , Mrs Shamsa ,300,Haris,
+"Wednesday, January 25, 2017",59,,10,M,Nursing Staff,,Laboratory Test,,, -   ,,,,
+"Wednesday, January 25, 2017",1,,,,Nursing Staff,,Pharmacy,,, -   ,,,,
+"Thursday, January 26, 2017",73,12:50PM,55,M,Dr Alaf Khan,Dentist,Consultation+X Ray,700,700, -   ,,700,Haris,
+"Thursday, January 26, 2017",116,3:30PM,26,M,Dr Alaf Khan,Dentist,X Ray,300,300, -   ,,300,Haris,
+"Thursday, January 26, 2017",125,5:40PM,30,F,Dr Alaf Khan,Dentist,Consultation,500,500, -   ,,500,Haris,
+"Thursday, January 26, 2017",1,,,,Nursing Staff,,Pharmacy,,, -   ,,,,
+"Thursday, January 26, 2017",1,,,,Nursing Staff,,Pharmacy,,, -   ,,,,
+"Thursday, January 26, 2017",1,,,,Nursing Staff,,Pharmacy,,, -   ,,,,
+"Saturday, January 28, 2017",129,,28M,M,Dr Ali,Child Specialist,Consultation,1150,1150, -   , Mrs Shamsa ,,Sohaib,
+"Saturday, January 28, 2017",85,6:45PM,,F,Dr Irfan,General Surgeon,,3000,3000, -   , Mrs Shamsa ,,Sohaib,
+"Saturday, January 28, 2017",147,9:45PM,9,M,Nursing Staff,,Consultation,1000,1000, -   , Mrs Shamsa ,,Sub KB,
+"Sunday, January 29, 2017",1,,,,Nursing Staff,,Pharmacy,,, -   ,,,,
+"Monday, January 30, 2017",140,1:00PM,28,F,Dr Alaf Khan,Dentist,Consultation,500,500, -   , Dr Ammad ,500,Haris,
+"Monday, January 30, 2017",39,1:30PM,47,M,Dr Alaf Khan,Dentist,X Ray,300,300, -   , Dr Ammad ,300,Haris,
+"Monday, January 30, 2017",124,5:40PM,49,F,Brig Asif,Medical Specialist,Consultation+ECG,1300,1300, -   , Dr Ammad ,600,Sohaib,
+"Monday, January 30, 2017",8,5:35PM,19,M,Dr Qurat ul Ain,Dentist,Consultation+X Ray,800,800, -   , Dr Ammad ,800,Sohaib,
+"Monday, January 30, 2017",51,6:00PM,31,M,Dr Qurat ul Ain,Dentist,Consultation,500,500, -   , Dr Ammad ,500,Sohaib,
+"Tuesday, January 31, 2017",152,5:30PM,7,F,Dr Fakiha,Dentist,Filling,1000,1000, -   , Mrs Shamsa ,1000,Haris,
+"Tuesday, January 31, 2017",21,6:30PM,26,M,Dr Zubair,M/o,Consultation,200,200, -   , Mrs Shamsa ,200,Mona,
+"Tuesday, January 31, 2017",115,6:50PM,8,F,Dr Qurat ul Ain,Dentist,Extraction,1500,1500, -   , Mrs Shamsa ,1500,Haris,
+"Wednesday, February 01, 2017",109,2:10PM,28,F,Dr Alaf Khan,Dentist,R.C.T,2000,2000, -   , Dr Ammad ,2000,Haris,2/6/2017
+"Wednesday, February 01, 2017",153,2:10PM,17,F,Dr Alaf Khan,Dentist,Orthodontics,10000,10000,, Dr Ammad ,10000,Haris,2/6/2017
+"Wednesday, February 01, 2017",62,1:00PM,54,M,Dr Alaf Khan,Dentist,Scalling,2000,2000, -   , Dr Ammad ,2000,Haris,
+"Wednesday, February 01, 2017",111,1:40PM,35,F,Col Ulfat Ellahi,ENT,Consultation,1000,1000, -   , Dr Ammad ,300,Haris,
+"Wednesday, February 01, 2017",142,6:00PM,45,M,Dr Qurat ul Ain,Dentist,Extraction,2000,2000, -   , Dr Ammad ,2000,Haris,
+"Thursday, February 02, 2017",117,12:00PM,30,F,Dr Shireen,M/o,Consultation,500,500, -   , Dr Ammad ,500,Haris,
+"Thursday, February 02, 2017",140,1:00PM,30,F,Dr Alaf Khan,Dentist,Extraction,1000,1000, -   , Dr Ammad ,1000,Haris,
+"Thursday, February 02, 2017",100,1:25PM,23,F,Dr Alaf Khan,Dentist,Consultation,500,500, -   , Dr Ammad ,500,Haris,
+"Friday, February 03, 2017",133,4:45PM,27,F,Dr Alaf Khan,Dentist,X Ray,500,500, -   , Dr Ammad ,500,Haris,
+"Friday, February 03, 2017",44,8:00PM,6,M,Dr Ali,Child Specialist,Consultation,1000,1000, -   , Dr Ammad ,300,Haris,
+"Saturday, February 04, 2017",35,4:00PM,2,F,Dr Qurat ul Ain,Dentist,Consultation,500,500, -   , Dr Ammad ,500,Haris,
+"Saturday, February 04, 2017",150,4:00PM,30,M,Dr Qurat ul Ain,Dentist,Consultation,500,500, -   , Dr Ammad ,500,Haris,
+"Monday, February 06, 2017",118,7:30PM,32,F,Dr Kinza Alam,Gynae,Consultation+USG,1500,1500, -   , Dr Ammad ,800,Haris,
+"Monday, February 06, 2017",114,7:45PM,25,F,Dr Kinza Alam,Gynae,Consultation,1000,1000, -   , Dr Ammad ,300,Haris,
+"Monday, February 06, 2017",49,1:30PM,80,M,Dr Ali,Child Specialist,Consultation+Retain,3500,3500, -   , Dr Ammad ,2000,Haris,
+"Monday, February 06, 2017",126,1:30PM,70,F,Dr Alaf Khan,Dentist,Scalling,3000,3000, -   , Dr Ammad ,3000,Haris,
+"Monday, February 06, 2017",141,4:00PM,20,M,Dr Riffat Naheed,Psychotherapist,Consultation,2000,2000, -   , Dr Ammad ,600,Haris,
+"Monday, February 06, 2017",17,6:15PM,23,M,Dr Ammad,M/o,Consultation,200,200, -   , Dr Ammad ,200,Haris,
+"Tuesday, February 07, 2017",12,12:00PM,60,F,Dr Alaf Khan,Dentist,22 Unit Bridge,44000,30000,"14,000.00", Dr Ammad ,30000,Haris,2/14/2017
+"Tuesday, February 07, 2017",60,1:10PM,50,M,Dr Alaf Khan,Dentist,Consultation,500,500, -   , Dr Ammad ,500,Haris,
+"Tuesday, February 07, 2017",140,2:15PM,30,F,Dr Alaf Khan,Dentist,4 Unit Bridge,3000,3000, -   , Dr Ammad ,3000,Haris,
+"Tuesday, February 07, 2017",41,6:00PM,13,M,Dr Qurat ul Ain,Dentist,X Ray,500,500, -   , Dr Ammad ,500,Haris,
+"Tuesday, February 07, 2017",87,8:00PM,30,F,Dr Qurat ul Ain,Dentist,Consultation,500,500, -   , Dr Ammad ,500,Haris,
+"Wednesday, February 08, 2017",132,10:13AM,13,M,Dr Alaf Khan,Dentist,Consultation,500,500, -   , Dr Ammad ,500,Haris,2/17/2017
+"Wednesday, February 08, 2017",132,12:00PM,13,M,Dr Alaf Khan,Dentist,R.C.T,3500,3500, -   , Dr Ammad ,3500,Haris,
+"Wednesday, February 08, 2017",13,12:00PM,39,F,Dr Saad,Orthopedic,Consultation,1000,1000, -   , Dr Ammad ,300,Haris,
+"Wednesday, February 08, 2017",109,2:40PM,28,F,Dr Alaf Khan,Dentist,R.C.T,2000,2000, -   , Dr Ammad ,2000,Haris,
+"Wednesday, February 08, 2017",109,2:40PM,28,F,Dr Alaf Khan,Dentist,Crown,3000,,"3,000.00", Dr Ammad ,,Haris,2/16/2017
+"Wednesday, February 08, 2017",153,2:40PM,17,F,Dr Alaf Khan,Dentist,Orthodontics,110000,20000,"90,000.00", Dr Ammad ,20000,Haris,2/16/2017
+"Wednesday, February 08, 2017",43,10:00AM,27,M,Dr Alaf Khan,Dentist,Consultation+X Ray,800,800, -   , Dr Ammad ,800,Haris,2/9/2017
+"Friday, February 10, 2017",5,9:30AM,57,M,Dr Alaf Khan,Dentist,X Ray,300,300, -   , Dr Ammad ,300,Haris,
+"Friday, February 10, 2017",14,6:30PM,6,M,Nursing Staff,,X Ray,300,300, -   , Dr Ammad ,300,Haris,
+"Friday, February 10, 2017",123,7:00PM,18,M,Dr Qurat ul Ain,Dentist,Filling,1500,1500, -   , Dr Ammad ,1500,Haris,
+"Saturday, February 11, 2017",137,12:00PM,25,M,Dr Ali,Child Specialist,Consultation,1000,1000, -   , Mrs Shamsa ,300,Mona,
+"Saturday, February 11, 2017",91,4:20PM,50,F,Dr Qurat ul Ain,Dentist,Scalling,2500,2500, -   , Mrs Shamsa ,2500,Mona,
+"Saturday, February 11, 2017",23,5:57PM,,F,Dr Qurat ul Ain,Dentist,Consultation,1000,1000, -   , Mrs Shamsa ,1000,Mona,
+"Saturday, February 11, 2017",154,6:15PM,19,F,Dr Qurat ul Ain,Dentist,Scalling,2000,2000, -   , Mrs Shamsa ,2000,Mona,
+"Sunday, February 12, 2017",112,7:15PM,39,M,Dr Saad,Orthopedic,Operation,35000,35000, -   , Mrs Shamsa ,35000,Haris,
+"Sunday, February 12, 2017",81,12:00PM,6,F,Dr Alaf Khan,Dentist,Consultation+X Ray,700,700, -   , Mrs Shamsa ,700,Mona,
+"Monday, February 13, 2017",15,11:20AM,40,M,Dr Waqar Azeem,Radiologist,USG Abdomen,1000,1000, -   , Dr Ammad ,300,Haris,
+"Monday, February 13, 2017",112,3:40PM,39,M,Dr Saad,Orthopedic,Operation,15000,15000, -   , Dr Ammad ,15000,Haris,
+"Monday, February 13, 2017",9,7:00PM,20,F,Dr Qurat ul Ain,Dentist,Consultation,500,500, -   , Dr Ammad ,500,Haris,
+"Monday, February 13, 2017",2,,-,-,Dr Ali,Child Specialist,Consultation,1500,1500, -   , Dr Ammad ,500,Haris,
+"Tuesday, February 14, 2017",113,2:30PM,14,M,Dr Saad Riaz,Orthopedic,Pop,3700,3700, -   , Dr Ammad ,1700,Haris,
+"Tuesday, February 14, 2017",4,3:00PM,-,M,Nursing Staff,,Er Retain,300,300, -   , Dr Ammad ,300,Haris,
+"Tuesday, February 14, 2017",19,7:02PM,6M,F,Dr Waqar Azeem,Radiologist,USG,2000,2000, -   , Dr Ammad ,1300,Haris,
+"Wednesday, February 15, 2017",118,11:40AM,24,F,Dr Alaf Khan,Dentist,X Ray,400,400, -   , Mrs Shamsa ,400,Mona,
+"Wednesday, February 15, 2017",94,4:45PM,3,M,Dr Ali,Child Specialist,Consultation + Nebulize,1150,1150, -   ," 150 Mrs Shamsa, 300 Dr Ammad ",450,Haris,
+"Wednesday, February 15, 2017",64,6:15PM,23,M,Dr Ammad,M/o,Consultation,200,200, -   , Dr Ammad ,200,Haris,
+"Friday, February 17, 2017",29,4:10PM,29,M,Dr Alaf Khan,Dentist,X Ray,200,200, -   , Dr Ammad ,200,Haris,
+"Friday, February 17, 2017",66,5:30PM,55,M,Dr Alaf Khan,Dentist,Extraction,1000,1000, -   , Dr Ammad ,1000,Haris,
+"Friday, February 17, 2017",107,6:30PM,30,F,Nursing Staff,,X Ray,1000,1000, -   , Dr Ammad ,1000,Haris,
+"Saturday, February 18, 2017",108,6:20PM,,M,Dr Ali,Child Specialist,Consultation,3000,3000, -   , Dr Ammad ,1600,Saima,
+"Saturday, February 18, 2017",30,6:10PM,30,F,Dr Qurat ul Ain,Dentist,Extraction,1500,1500, -   , Dr Ammad ,1500,Mona,
+"Saturday, February 18, 2017",94,11:30AM,3,M,Nursing Staff,,Injection,300,300, -   , Dr Ammad ,300,Saima,
+"Sunday, February 19, 2017",55,2:45PM,,M,Dr Qurat ul Ain,Dentist,X Ray,300,300, -   , Dr Ammad ,300,Saima,
+"Monday, February 20, 2017",132,,13,M,Dr Alaf Khan,Dentist,Crown,5000,5000, -   , Dr Ammad ,5000,,2/24/2017
+"Monday, February 20, 2017",68,1:25PM,10,M,Dr Shireen,M/o,Stiches,700,700, -   , Dr Ammad ,700,Saima,
+"Monday, February 20, 2017",80,2:00PM,30,F,Dr Shireen,M/o,Consultation,1200,1200, -   , Dr Ammad ,1200,Saima,
+"Monday, February 20, 2017",99,7:00PM,45,F,Dr Saima Shams,Radiologist,USG,1500,1500, -   , Dr Ammad ,900,Mona,
+"Monday, February 20, 2017",94,10:15PM,3,M,Nursing Staff,,Injection,300,300, -   , Dr Ammad ,300,Ashfaq,
+"Tuesday, February 21, 2017",151,1:00PM,38,M,Dr Alaf Khan,Dentist,R.C.T+Scalling+Crown,5000,5000, -   , Dr Ammad ,5000,Saima,2/28/2017
+"Tuesday, February 21, 2017",53,6:00PM,20,F,Dr Waqar Azeem,Radiologist,USG,1000,1000, -   , Dr Ammad ,400,Mona,
+"Tuesday, February 21, 2017",11,7:11PM,2,F,Dr Ali,Child Specialist,Consultation,1000,1000, -   , Dr Ammad ,300,Saima,
+"Tuesday, February 21, 2017",94,10:10PM,3,M,Nursing Staff,,Injection,300,300, -   , Dr Ammad ,300,Sub KB,
+"Tuesday, February 21, 2017",64,-,,,Nursing Staff,,Medicine,100,100, -   ,,100,Saima,
+"Wednesday, February 22, 2017",100,3:00PM,23,F,Dr Alaf Khan,Dentist,Orthodontics,120000,30000,"90,000.00", Dr Ammad ,30000,Mona,
+"Wednesday, February 22, 2017",16,4:30PM,26,M,Dr Mumtaz,General Surgeon,Consultation,1000,1000, -   , Dr Ammad ,500,Mona,
+"Wednesday, February 22, 2017",6,5:00PM,35,M,Dr Waqar Azeem,Radiologist,USG,1000,1000, -   , Dr Ammad ,400,Mona,
+"Thursday, February 23, 2017",33,1:55PM,22,M,Dr Alaf Khan,Dentist,R.C.T,3000,3000, -   , Dr Ammad ,3000,Saima,
+"Thursday, February 23, 2017",89,1:50PM,65,F,Dr Saad Riaz,Orthopedic,Consultation,1000,1000, -   , Dr Ammad ,500,Saima,
+"Thursday, February 23, 2017",13,2:00PM,45,F,Dr Saad Riaz,Orthopedic,Consultation,1000,1000, -   , Dr Ammad ,300,Saima,
+"Thursday, February 23, 2017",47,3:00PM,21,F,Dr Riffat Naheed,Psychotherapist,Consultation,1500,1500, -   , Dr Ammad ,700,Saima,
+"Friday, February 24, 2017",80,9:30PM,30,F,Dr Mehwish,Gynae,Consultation,1000,1000, -   , Dr Ammad ,500,Saima,
+"Saturday, February 25, 2017",128,3:45PM,64,F,Dr Qurat ul Ain,Dentist,Consultation,500,500, -   , Dr Ammad ,500,Saima,
+"Saturday, February 25, 2017",93,4:00PM,40,F,Dr Ali,Child Specialist,,3000,3000, -   , Dr Ammad ,1600,Saima,
+"Monday, February 27, 2017",143,11:30AM,52,F,Dr Alaf Khan,Dentist,Consultation,500,500, -   , Dr Ammad ,500,Saima,
+"Monday, February 27, 2017",56,12:20PM,55,F,Dr Alaf Khan,Dentist,Extraction,600,600, -   , Dr Ammad ,600,Saima,
+"Monday, February 27, 2017",96,-,54,M,Dr Qurat ul Ain,Dentist,Consultation,500,500, -   , Dr Ammad ,500,Saima,
+"Tuesday, February 28, 2017",65,10:30PM,30,M,Nursing Staff,,BSR,50,50, -   , Dr Ammad ,50,Haris,
+"Tuesday, February 28, 2017",96,12:40PM,53,M,Dr Alaf Khan,Dentist,8 Unit Bridge+2 R.C.T,30000,8000,"22,000.00", Dr Ammad ,8000,Haris,
+"Tuesday, February 28, 2017",90,,,F,Dr Alaf Khan,Dental,Consultation,1000,1000, -   , Dr Ammad ,1000,Saima,
+"Tuesday, February 28, 2017",151,3:00PM,38,F,Dr Alaf Khan,Dentist,R.C.T+Scalling+Crown,4500,4500, -   , Dr Ammad ,4500,Haris,
+"Tuesday, February 28, 2017",139,8:00PM,30,M,Nursing Staff,,X Ray,500,500, -   , Dr Ammad ,500,Saima,
+"Wednesday, March 01, 2017",107,5:00PM,17,F,Dr Qurat ul Ain,Dentist,Extraction,1500,1500, -   , Dr Ammad ,1500,Saima,
+"Wednesday, March 01, 2017",28,6:00PM,3,F,Dr Qurat ul Ain,Dentist,Consultation,500,500, -   , Dr Ammad ,500,Saima,
+"Wednesday, March 01, 2017",46,-,17,M,Nursing Staff,,Dressing,500,500, -   , Dr Ammad ,200,Saima,
+"Wednesday, March 01, 2017",25,7:00PM,-,F,Dr Kinza Alam,Gynae,Consultation,1500,1500, -   , Dr Ammad ,500,Saima,
+"Wednesday, March 01, 2017",24,7:10PM,-,M,Dr Ammad,M/o,Consultation,500,500, -   , Dr Ammad ,500,Saima,
+"Thursday, March 02, 2017",140,12:48PM,30,F,Dr Alaf Khan,Dentist,4 Unit Bridge,8000,8000, -   , Dr Ammad ,8000,Saima,
+"Thursday, March 02, 2017",46,3:00PM,17,M,Nursing Staff,,Injection,50,50, -   , Dr Ammad ,50,Saima,
+"Thursday, March 02, 2017",114,7:05PM,26,F,Dr Kinza Alam,Gynae,Consultation,1000,1000, -   , Dr Ammad ,300,Saima,
+"Thursday, March 02, 2017",3,-,-,-,Nursing Staff,,Dressing,100,100, -   , Dr Ammad ,100,Saima,
+"Friday, March 03, 2017",138,11:20AM,45,F,Dr Alaf Khan,Dentist,Consultation,500,500, -   , Dr Ammad ,500,Saima,
+"Friday, March 03, 2017",107,12:30PM,17,F,Dr Alaf Khan,Dentist,R.C.T+Crown,8000,8000, -   , Dr Ammad ,8000,Saima,3/9/2017
+"Friday, March 03, 2017",34,1:30PM,22,M,Dr Alaf Khan,Dentist,Crown,2000,2000, -   , Dr Ammad ,2000,Saima,3/8/2017
+"Friday, March 03, 2017",133,4:10PM,30,F,Dr Ali,Child Specialist,Consultation,1000,1000, -   , Dr Ammad ,300,Saima,
+"Friday, March 03, 2017",46,5:45PM,17,M,Nursing Staff,,Dressing,300,300, -   , Dr Ammad ,300,Saima,
+"Friday, March 03, 2017",74,2:40PM,38,M,Dr Waqar Azeem,Radiologist,USG KUB,1000,1000, -   , Dr Ammad ,300,Sub KB,
+"Sunday, March 05, 2017",46,-,17,M,Nursing Staff,,Dressing,300,300, -   , Dr Ammad ,200,Saima,
+"Monday, March 06, 2017",83,1:20PM,34,M,Dr Alaf Khan,Dentist,Consultation,500,500, -   , Dr Ammad ,500,Saima,
+"Monday, March 06, 2017",61,5:30PM,28,F,Dr Qurat ul Ain,Dentist,Consultation+X Ray,950,950, -   , Dr Ammad ,950,Haris,
+"Monday, March 06, 2017",122,7:00PM,78,M,Nursing Staff,,Injection,100,100, -   , Dr Ammad ,100,Saima,
+"Tuesday, March 07, 2017",95,-,56,M,Dr Alaf Khan,Dentist,X Ray,300,300, -   , Dr Ammad ,300,Saima,
+"Tuesday, March 07, 2017",69,3:00PM,53,M,Dr Alaf Khan,Dentist,,15000,15000, -   , Dr Ammad ,15000,Mona,
+"Tuesday, March 07, 2017",146,-,21,M,Dr Ammad,M/o,Consultation,500,500, -   , Dr Ammad ,500,Saima,
+"Tuesday, March 07, 2017",46,7:40PM,17,M,Nursing Staff,,Dressing,200,200, -   , Dr Ammad ,200,Saima,
+"Tuesday, March 07, 2017",32,2:00PM,,F,Nursing Staff,,Coupety,300,300, -   , Dr Ammad ,300,Saima,
+"Tuesday, March 07, 2017",122,9:35PM,78,M,Nursing Staff,,Injection,100,100, -   , Dr Ammad ,100,Sub KB,
+"Wednesday, March 08, 2017",148,8:30PM,3,F,Nursing Staff,,Injection,100,100, -   , Dr Ammad ,100,Ashfaq,
+"Wednesday, March 08, 2017",122,10:00PM,76,M,Nursing Staff,,Injection,100,100, -   , Dr Ammad ,100,Ashfaq,
+"Wednesday, March 08, 2017",10,4:45PM,9,F,Dr Qurat ul Ain,Dentist,Consultation+x Ray,650,650, -   , Dr Ammad ,650,Saima,
+"Wednesday, March 08, 2017",76,6:55PM,32,M,Dr Paul,Dermatologist,Consultation,1500,1000,500, Dr Ammad ,300,Mona,
+"Wednesday, March 08, 2017",1,12:00PM,,F,Nursing Staff,,Injection,150,150, -   , Dr Ammad ,150,Mona,
+"Wednesday, March 08, 2017",25,7:30PM,-,F,Dr Kinza Alam,Gynae,Consultation,1500,1500, -   , Dr Ammad ,500,Mona,
+"Thursday, March 09, 2017",77,12:00PM,24,M,Dr Alaf Khan,Dentist,R.C.T,5000,2000,"3,000.00", Dr Ammad ,2000,Haris,3/16/2017
+"Thursday, March 09, 2017",121,9:00AM,3,F,Nursing Staff,,Injection,100,100, -   , Dr Ammad ,100,Mona,
+"Thursday, March 09, 2017",122,,76,M,Nursing Staff,,Injection,100,100, -   , Dr Ammad ,100,Mona,
+"Thursday, March 09, 2017",1,,,,Nursing Staff,,Cancelled,,, -   , Dr Ammad ,,Saima,
+"Thursday, March 09, 2017",18,3:30PM,39,M,Dr Alaf Khan,Dentist,Scalling+Polishing,4000,4000, -   , Dr Ammad ,4000,Saima,
+"Thursday, March 09, 2017",110,6:00PM,30,M,Dr Qurat ul Ain,Dentist,Consultation,200,200, -   , Dr Ammad ,200,Saima,
+"Friday, March 10, 2017",122,10:20AM,76,M,Nursing Staff,,Injection,100,100, -   , Dr Ammad ,100,Zaheer,
+"Friday, March 10, 2017",105,11:20PM,45,F,Dr Shireen,M/o,Consultation,800,800, -   , Dr Ammad ,800,Mona,