Overall Details Python Code - Copy (1).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# This is the first class in Python\n",
    "#### and I hope we all are excited to start with this\n",
    "\n",
    "Unfortunately, I cannot see CSV here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10\n",
      "17\n"
     ]
    }
   ],
   "source": [
    "# this is how I can start writing the code\n",
    "\n",
    "# Multile line commenting can be done \n",
    "# using a short cut : [ CTRL + / ]\n",
    "\n",
    "\n",
    "x = 4 + 6\n",
    "y= 8+\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10\n",
      "17\n"
     ]
    }
   ],
   "source": [
    "print(x)\n",
    "print(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "z = 10+20"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# main heading\n",
    "## font decreased\n",
    "### font furhter decreased\n",
    "#### dont you see this, it has decreased furtther\n",
    "##### decreased more\n",
    "\n",
    "##### **BOLD**\n",
    "\n",
    "\n",
    "~~BOLD~~\n",
    "\n",
    "All the HTML style of writing the codes are as such implementable there !!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# X is a variable storing a value 5\n",
    "# prepare the Operators and Operands\n",
    "\n"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "OPERATOR\n",
    "_______________________________________________________\n",
    "MATHEMATICAL : [ + - * / % ^ ** % ()]\n",
    "RELATIONAL : [ > < >= <= ] [ RETURNS THE LOGICAL VALUE ]\n",
    "COMPARISON : [ == ]\n",
    "\n",
    "LOGICAL : [AND &  OR |  NOT !]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5\n",
      "15\n"
     ]
    }
   ],
   "source": [
    "X = 5\n",
    "x = 15\n",
    "\n",
    "print(X)\n",
    "print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "False\n"
     ]
    }
   ],
   "source": [
    "# type function is to check the DAta type Boss !\n",
    "\n",
    "x = 3 >5\n",
    "type(x)\n",
    "\n",
    "print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "False\n"
     ]
    }
   ],
   "source": [
    "x = 'Mango'\n",
    "\n",
    "y = x.isupper()\n",
    "\n",
    "print(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['__add__', '__class__', '__contains__', '__delattr__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getitem__', '__getnewargs__', '__gt__', '__hash__', '__init__', '__init_subclass__', '__iter__', '__le__', '__len__', '__lt__', '__mod__', '__mul__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__rmod__', '__rmul__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', 'capitalize', 'casefold', 'center', 'count', 'encode', 'endswith', 'expandtabs', 'find', 'format', 'format_map', 'index', 'isalnum', 'isalpha', 'isdecimal', 'isdigit', 'isidentifier', 'islower', 'isnumeric', 'isprintable', 'isspace', 'istitle', 'isupper', 'join', 'ljust', 'lower', 'lstrip', 'maketrans', 'partition', 'replace', 'rfind', 'rindex', 'rjust', 'rpartition', 'rsplit', 'rstrip', 'split', 'splitlines', 'startswith', 'strip', 'swapcase', 'title', 'translate', 'upper', 'zfill']\n"
     ]
    }
   ],
   "source": [
    "print(dir(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['__abs__', '__add__', '__and__', '__bool__', '__ceil__', '__class__', '__delattr__', '__dir__', '__divmod__', '__doc__', '__eq__', '__float__', '__floor__', '__floordiv__', '__format__', '__ge__', '__getattribute__', '__getnewargs__', '__gt__', '__hash__', '__index__', '__init__', '__init_subclass__', '__int__', '__invert__', '__le__', '__lshift__', '__lt__', '__mod__', '__mul__', '__ne__', '__neg__', '__new__', '__or__', '__pos__', '__pow__', '__radd__', '__rand__', '__rdivmod__', '__reduce__', '__reduce_ex__', '__repr__', '__rfloordiv__', '__rlshift__', '__rmod__', '__rmul__', '__ror__', '__round__', '__rpow__', '__rrshift__', '__rshift__', '__rsub__', '__rtruediv__', '__rxor__', '__setattr__', '__sizeof__', '__str__', '__sub__', '__subclasshook__', '__truediv__', '__trunc__', '__xor__', 'bit_length', 'conjugate', 'denominator', 'from_bytes', 'imag', 'numerator', 'real', 'to_bytes']\n",
      "['__abs__', '__add__', '__and__', '__bool__', '__ceil__', '__class__', '__delattr__', '__dir__', '__divmod__', '__doc__', '__eq__', '__float__', '__floor__', '__floordiv__', '__format__', '__ge__', '__getattribute__', '__getnewargs__', '__gt__', '__hash__', '__index__', '__init__', '__init_subclass__', '__int__', '__invert__', '__le__', '__lshift__', '__lt__', '__mod__', '__mul__', '__ne__', '__neg__', '__new__', '__or__', '__pos__', '__pow__', '__radd__', '__rand__', '__rdivmod__', '__reduce__', '__reduce_ex__', '__repr__', '__rfloordiv__', '__rlshift__', '__rmod__', '__rmul__', '__ror__', '__round__', '__rpow__', '__rrshift__', '__rshift__', '__rsub__', '__rtruediv__', '__rxor__', '__setattr__', '__sizeof__', '__str__', '__sub__', '__subclasshook__', '__truediv__', '__trunc__', '__xor__', 'bit_length', 'conjugate', 'denominator', 'from_bytes', 'imag', 'numerator', 'real', 'to_bytes']\n",
      "['__add__', '__class__', '__contains__', '__delattr__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getitem__', '__getnewargs__', '__gt__', '__hash__', '__init__', '__init_subclass__', '__iter__', '__le__', '__len__', '__lt__', '__mod__', '__mul__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__rmod__', '__rmul__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', 'capitalize', 'casefold', 'center', 'count', 'encode', 'endswith', 'expandtabs', 'find', 'format', 'format_map', 'index', 'isalnum', 'isalpha', 'isdecimal', 'isdigit', 'isidentifier', 'islower', 'isnumeric', 'isprintable', 'isspace', 'istitle', 'isupper', 'join', 'ljust', 'lower', 'lstrip', 'maketrans', 'partition', 'replace', 'rfind', 'rindex', 'rjust', 'rpartition', 'rsplit', 'rstrip', 'split', 'splitlines', 'startswith', 'strip', 'swapcase', 'title', 'translate', 'upper', 'zfill']\n"
     ]
    }
   ],
   "source": [
    "x = 5\n",
    "print(dir(x))    \n",
    "\n",
    "y = 15\n",
    "print(dir(y))    \n",
    "\n",
    "z = 'Mango'\n",
    "print(dir(z))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Day 2 "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Python is an Object Oreinted Progrmaing language\t\t\t\t\t\n",
    "\t\t\t\t\t\n",
    "#### Objects are used to store the values/ Data: Attrbiutes and Functionalities\t\t\t\t\n",
    "\t\t\t\t\t\n",
    "\t1 - What type of Values are stored\t\t\t\tData types\n",
    "\t2- How those values are stored\t\t\t\tData Structures\n"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "#### Data types [types of the values which could be stored]\n",
    "\n",
    "1 - Numeric ----------------------- base Python -- PANDAS\n",
    "      number without decimal        - int       -- int64\n",
    "      numbers with decimal          - float   -----float64 \n",
    "_________________________________________________________     \n",
    "  number as Complex [real+imaginary]--complex ------NA\n",
    "________________________________________________________\n",
    "  Internally as numbers   --------- --- Bool-------Bool\n",
    "2- Logicall/ Boolean Values   \n",
    "  [Any non zero value is TRUE]\n",
    "\n",
    "3- Character values: ------------------str ---------object\n",
    "    \n",
    "4- Date and time----------------------NA -----------Datetime64\n",
    "\n",
    "(date has to be a number at its backend)\n",
    "-----------------------------------------\n",
    "\tExcel\t    number of days starting from 1 Jan 1900\t\t\t\t\n",
    "\tSAS\t\t\tnumber of days starting from 1 Jan 1960\t\t\t\t\n",
    "\tR\t\t\tnumber of days starting from 1 Jan 1970\t\t\t\t\n",
    "\tPython\t\tnumber of days starting from 1 Jan 1970\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bool"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n = False\n",
    "type(n)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data types and its Precedence Order:\n",
    "  \n",
    "str >> str()\n",
    "float>> float()\n",
    "int>> int()\n",
    "bool>>bool()\n",
    "\n",
    "\n",
    "if I have to convert str >> to any other DT, \n",
    "*not always: a str can e converted to int/ float/ bool\n",
    "\n",
    "if I have an int >> conv > float str"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "invalid literal for int() with base 10: 'Mango'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-51-53dbb66689cb>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      6\u001b[0m \u001b[0mx1\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'Mango'\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 7\u001b[1;33m \u001b[0mx2\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      8\u001b[0m \u001b[0mx2\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mValueError\u001b[0m: invalid literal for int() with base 10: 'Mango'"
     ]
    }
   ],
   "source": [
    "x = 5\n",
    "\n",
    "x1 = str(x)\n",
    "\n",
    "\n",
    "x1 = 'Mango'\n",
    "x2 = int(x1)\n",
    "x2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data Structures of Base Python\n",
    "#____________________________________________________________________\n",
    "\n",
    "one single object storing one single information - single variable\n",
    "\n",
    "one object storing multiple information - 1 Dim arrays\n",
    "one object storing multiple information in 2 Dimensions- 2 Dim arrays/ tables\n",
    "\n",
    "#___________________________________________________________________________________\n",
    "\n",
    "One 1 dimensional, heterogenous DS \n",
    "1- tuple - basic *\n",
    "2- list *****\n",
    "3- set *\n",
    "4. dictionary **\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tuple"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 1 - TUPLE - One 1 dimensional, heterogenous DS \n",
    "# TUPLES ARE CREATED USING ()\n",
    "# Tuples are immutable - those values cannot be changed\n",
    "\n",
    "t1 = (12,23,34,45,56,67,'class')\n",
    "type(t1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'tuple' object does not support item assignment",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-16-69ced6185588>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;31m# [] indexing style : 0 to n-1\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 4\u001b[1;33m \u001b[0mt1\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m999\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m: 'tuple' object does not support item assignment"
     ]
    }
   ],
   "source": [
    "#indexing of DS\n",
    "# [] indexing style : 0 to n-1\n",
    "\n",
    "t1[1] = 999"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(12, 23, 34, 45, 56, 67, 'class')"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t1 = (12,23,34,'XYZ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[12, 23, 34, 45, 56, 67, 'class']"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2 - LIST - One 1 dimensional, heterogenous DS \n",
    "# LIST ARE CREATED USING []\n",
    "# LIST are Mutable - those values can be changed\n",
    "\n",
    "l1 = [12,23,34,45,56,67,'class']\n",
    "l1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[12, 23, 999, 45, 56, 67, 'class']"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "l1[2]=999\n",
    "\n",
    "l1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# where and how tou can think of using LIST Vs TUPLE\n",
    "#________________________________________________________\n",
    "# 1 - Tuple was immutable - created using ()\n",
    "# 2- List was mutable object - created using []\n",
    "\n",
    "Coordinates = (1,2,3) #Creating a Tuple named Coordinates - having coordinated >> x , y, z \n",
    "\n",
    "c1 = (2,3,4)\n",
    "c2 = (3,4,5)\n",
    "c3 = (4,3,4)\n",
    "c4 = (5,4,8)\n",
    "\n",
    "List_of_Coordinates = [Coordinates, c1, c2, c3, c4] \n",
    "# This is the list of all the above coordinates ( Tuples )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{1, 11, 12, 23, 34, 35, 45, 56, 98}"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# SET - one dimensional heterogneous | This set* is exactly the same SET theory you read in your 11th standard:\n",
    "                                    #| This gives me to compare the elemetns using UNIONS | JOINS | INTERSECTION \n",
    "\n",
    "# Sets are to be created using: {}\n",
    "\n",
    "# The major advantage of using a set, as opposed to a list, is that it has a \n",
    "# highly optimized method for checking whether a specific element is contained in the set.\n",
    "\n",
    "s1 = {12,23,34,45,56,56,98,35,11,1}\n",
    "s1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['__class__', '__contains__', '__delattr__', '__delitem__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getitem__', '__gt__', '__hash__', '__init__', '__init_subclass__', '__iter__', '__le__', '__len__', '__lt__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__setitem__', '__sizeof__', '__str__', '__subclasshook__', 'clear', 'copy', 'fromkeys', 'get', 'items', 'keys', 'pop', 'popitem', 'setdefault', 'update', 'values']\n"
     ]
    }
   ],
   "source": [
    "# Dictionary | collection of keys and values | {key : value}\n",
    "\n",
    "dict = {'x':5}\n",
    "\n",
    "print(dir(dict))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_values([5])"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict.values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'age': [15, 14, 25, 36, 37]}"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict = {'age':[15,14,25,36,37]}\n",
    "\n",
    "dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dict1 = {\n",
    "    \"EID\":[1,2,3,4,5],\n",
    "    \"Ename\":[\"A\",\"B\",\"C\",\"D\",\"E\"],\n",
    "    \"Esal\":[1200,1300,1400,1500,1600]\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### The python syntaxes::"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "1- Case Sensitives\n",
    "2- a '#' is used for comments \n",
    "3- INC - rules for creating the objectsL\n",
    "    3.1 - must be alhpanumeric [A-Z| a-z | 0-9] with _ ( underscore is the only special character allowed)\n",
    "    3.2 - must begin with alphabet (but can start with _ )\n",
    "    3.3 - reserved keyword should not be used as object [ generally starts with __ dunders]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid token (<ipython-input-7-ad599f5076c5>, line 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-7-ad599f5076c5>\"\u001b[1;36m, line \u001b[1;32m1\u001b[0m\n\u001b[1;33m    1_x = 5\u001b[0m\n\u001b[1;37m     ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid token\n"
     ]
    }
   ],
   "source": [
    "1x = 5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Day 4\n",
    "\n",
    "Indexing on LIST | Tupple ... [ ] positional value for the element that start couting from 0 to n-1 unlike R(1 to n)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "t1 = (12,23,34,45,56,67,78,8,89)\n",
    "\n",
    "l1 = [12,23,34,45,56,67,78,8,89]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-22-ddf0698bc011>, line 12)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-22-ddf0698bc011>\"\u001b[1;36m, line \u001b[1;32m12\u001b[0m\n\u001b[1;33m    l1[-:]\u001b[0m\n\u001b[1;37m        ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "### l1\n",
    "l1[:] # : colon denotes the range\n",
    "\n",
    "l1[0:5] # : colon denotes the range | also in, :n  - it runs till n-1 as last element is excludedl1[0:5]\n",
    " \n",
    "l1[2:5]\n",
    "\n",
    "l1[:-3]\n",
    "\n",
    "l1[-2:]\n",
    "\n",
    "l1[-:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Conditional/ Logical Statements | \n",
    "\n",
    "IF ELSE | Nested IF else"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Assignment  x = 5\n",
    "# Relational Operator < > <= >= ==(comparison)\n",
    "\n",
    "x = 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "positive\n"
     ]
    }
   ],
   "source": [
    "if (x==0):\n",
    "    print(\"Exactly zero\")\n",
    "elif (x>0):\n",
    "    print(\"positive\")\n",
    "else:\n",
    "    print(\"-ve\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'+ve'"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"+ve\" if (x> 0) else \"-ve\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Looping Construct \n",
    "\n",
    "Conditional Loops [while] | Ranged Loops [from]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Loops are of two types:\n",
    "\n",
    "#### Ranged Loops - Starting and ending point\n",
    "#### Conditional Loops \n",
    "\n",
    "\n",
    "# Conditional Loops: do this proceesing till this* condition hold TRUE\n",
    "# the moment the condition is getting FALSE\n",
    "# IT will break out EXIT from the LOOP\n",
    "\n",
    "x += 0\n",
    "\n",
    "\n",
    " # X = X + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "while(x <= 10):\n",
    "    print(x)\n",
    "    x=x+1\n",
    "    \n",
    "\n",
    "   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "3\n",
      "5\n",
      "7\n",
      "9\n"
     ]
    }
   ],
   "source": [
    "#### Ranged Loops | for loops \n",
    "\n",
    "#range(0,10)\n",
    "\n",
    "# for loop uses range function for itration\n",
    "for x in range(1,10,2):\n",
    "    print (x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "12\n",
      "23\n",
      "34\n",
      "45\n",
      "56\n",
      "67\n",
      "78\n",
      "8\n",
      "89\n"
     ]
    }
   ],
   "source": [
    "#### Ranged Loops | for loops \n",
    "\n",
    "#range(0,10)\n",
    "\n",
    "# for loop uses range function for itration\n",
    "for x in l1:\n",
    "    print (x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### User Defined Function - UDF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "in Python we have lot of function being already pre loaded for us to use\n",
    "but we can create our own functions \n",
    "\n",
    "????\n",
    "function ? \n",
    "1- it should always take input as argument\n",
    "2- a set of statement\n",
    "3- it should return a value\n",
    "\n",
    "in Python the functions can be used using a keyword called - def"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "def sq_num(x):\n",
    "    return(x**2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "unsupported operand type(s) for ** or pow(): 'list' and 'int'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-3-536ef7f3415a>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[0ml1\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;36m12\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m23\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m34\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m56\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m67\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 4\u001b[1;33m \u001b[0msq_num\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ml1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m<ipython-input-1-ff1c45e285bb>\u001b[0m in \u001b[0;36msq_num\u001b[1;34m(x)\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0msq_num\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m     \u001b[1;32mreturn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m**\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for ** or pow(): 'list' and 'int'"
     ]
    }
   ],
   "source": [
    "#sq_num(8)\n",
    "\n",
    "l1 = [12,23,34,56,67]\n",
    "sq_num(l1)\n",
    "# You have to write a FOR loop to roll over the function to each element of List\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[144, 529, 1156, 3136, 4489]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "l11= list(map(sq_num, l1))\n",
    "l11"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# So here for our rescue, we have a set of functions : \n",
    "# MAP | APPLY | ApplyMAP\n",
    "# isntead of writing a loop, we can use these functions\n",
    "# to apply the UDF or any other function on the object\n",
    "\n",
    "Map - applies the function on each element of a column/ series / list/ tuple / 1 D object\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # Below code is an obvious task which could be done with \n",
    "# skilled programing knowledge as dealing with FOR or other LOOPs\n",
    "# is not that really easy for NON programing background\n",
    "\n",
    "l1_square = []\n",
    "\n",
    "for i in l1:\n",
    "    l1_square.append(i ** 2)\n",
    "l1_square"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[144, 529, 1156, 2025, 3136, 4489, 6084, 64, 7921]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#What is Lambda ? this is one time, run time anonumous function\n",
    "\n",
    "# Alternative Approach for using the LOOPS\n",
    "\n",
    "l11= list(map(sq_num, l1))\n",
    "l11\n",
    "\n",
    "l11= list(map(lambda x: x**2 , l1))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['RITA', 'GITA', 'SITA']"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "name = ['rita', 'gita', 'sita']\n",
    "\n",
    "name1= list(map(lambda x: x.upper(), name))\n",
    "\n",
    "name1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['__add__', '__class__', '__contains__', '__delattr__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getitem__', '__getnewargs__', '__gt__', '__hash__', '__init__', '__init_subclass__', '__iter__', '__le__', '__len__', '__lt__', '__mod__', '__mul__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__rmod__', '__rmul__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', 'capitalize', 'casefold', 'center', 'count', 'encode', 'endswith', 'expandtabs', 'find', 'format', 'format_map', 'index', 'isalnum', 'isalpha', 'isdecimal', 'isdigit', 'isidentifier', 'islower', 'isnumeric', 'isprintable', 'isspace', 'istitle', 'isupper', 'join', 'ljust', 'lower', 'lstrip', 'maketrans', 'partition', 'replace', 'rfind', 'rindex', 'rjust', 'rpartition', 'rsplit', 'rstrip', 'split', 'splitlines', 'startswith', 'strip', 'swapcase', 'title', 'translate', 'upper', 'zfill']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'AJIT'"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x= 'ajit'\n",
    "\n",
    "print(dir(x))\n",
    "\n",
    "x.upper()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Day 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "l1 = [12,23,45,46,56,67,'a']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "list"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(l1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.ndarray"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n1 = np.array(l1)\n",
    "type(n1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['12', '23', '45', '46', '56', '67', 'a'], dtype='<U11')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1., 0., 0.],\n",
       "       [0., 1., 0.],\n",
       "       [0., 0., 1.]])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.identity(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    12\n",
       "1    23\n",
       "2    45\n",
       "3    46\n",
       "4    56\n",
       "5    67\n",
       "6     a\n",
       "dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ser1 = pd.Series(l1)\n",
    "\n",
    "ser1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    12\n",
       "1    23\n",
       "2    45\n",
       "3    46\n",
       "4    56\n",
       "5    67\n",
       "dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "l1 = [12,23,45,46,56,67]\n",
    "\n",
    "ser1 = pd.Series(l1)\n",
    "\n",
    "ser1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Core details about 'ILOCS' and 'LOCS'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    12\n",
       "1    23\n",
       "2    45\n",
       "3    46\n",
       "4    56\n",
       "5    67\n",
       "dtype: int64"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "l1 = [12,23,45,46,56,67]\n",
    "\n",
    "ser1 = pd.Series(l1)\n",
    "\n",
    "ser1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "56"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s2= pd.Series(l1, index=[\"a\",\"b\",\"c\",\"d\",\"e\",\"f\"])\n",
    "\n",
    "s2.iloc[2]\n",
    "s2.loc[\"e\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4    56\n",
       "5    67\n",
       "dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Both numpy array and series have the mechanism and feature to play around with the indexing using\n",
    "## TRUE condition\n",
    "# l1 = [12,23,45,46,56,67]\n",
    "\n",
    "ser1 > 50\n",
    "\n",
    "ser1[ser1>50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Accessing elements from Series\n",
    "#____________________________________________________________\n",
    "\n",
    "# a) Indexes[ilocs] and b) Names[locs]\n",
    "\n",
    "# default indexes are [0 to n-1] and we can have user defined indexes as well\n",
    "#                      iloc                       loc     \n",
    "# by default >> loc = iloc\n",
    "#________________________________________________________\n",
    "\n",
    "# User can give there own indexes(called as 'locs')\n",
    "# When User gives there own indexes >> loc comes into the picture \n",
    "# But, the original iloc will remain unchanged\n",
    "\n",
    "#ser4 = pd.Series(l1)\n",
    "ser4 = pd.Series(l1, index=[\"a\",\"b\",\"c\",\"d\",\"e\",\"f\",\"g\",\"h\",\"i\"])\n",
    "print(ser4) # by Default locs will be printed in the output\n",
    "\n",
    "# How to get the help in Jupyter Notebook\n",
    "# ?pd.Series(l1) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# By Default if you are not passing anything, indexing [] appplies on default indexes\n",
    "# Indexing [] works in two ways, a)either the element at nth position will be accesses\n",
    "                             # b) all the element conditionaly fappling TRUE\n",
    "#________________________________________________________________________________________\n",
    "ser4[5] # here you got 6th element because inndexing in python starts from 0\n",
    "\n",
    "# or you can access the elements using either ser4.ilocs or ser4.locs\n",
    "\n",
    "ser4.iloc[4] # you are accessing the element using the actual indexing\n",
    "# here you got 5th element because inndexing in python starts from 0\n",
    "\n",
    "ser4.loc['h'] # Accesing the element with the user defined indexing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "hr = pd.read_csv(\"C:\\\\Users\\\\aagarwal\\\\Desktop\\\\DataSetsR\\\\Human Resource_employees.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(hr)\n",
    "\n",
    "pd.read_excel()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['FIRST NAME', 'LAST NAME', 'SEX', 'DOJ', 'CURRENT DATE', 'DESIGNATION',\n",
       "       'AGE', 'SALARY', 'UNIT', 'LEAVES USED', 'LEAVES REMAINING', 'RATINGS',\n",
       "       'PAST EXP'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hr.columns\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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>FIRST NAME</th>\n",
       "      <th>LAST NAME</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TOMASA</td>\n",
       "      <td>ARMEN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ANNIE</td>\n",
       "      <td>ALTHAUSER</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>OLIVE</td>\n",
       "      <td>ANCY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CHERRY</td>\n",
       "      <td>AQUILAR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LEON</td>\n",
       "      <td>ABOULAHOUD</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  FIRST NAME   LAST NAME\n",
       "0     TOMASA       ARMEN\n",
       "1      ANNIE   ALTHAUSER\n",
       "2      OLIVE        ANCY\n",
       "3     CHERRY     AQUILAR\n",
       "4       LEON  ABOULAHOUD"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# indexing on two dimension data is [row level , column detail ]\n",
    "# how to access the Data [columns]\n",
    "### a) using the . dot oerator\n",
    "### b) using the []\n",
    "\n",
    "hr.AGE # this will return SERIES as an output\n",
    "\n",
    "hr[\"AGE\"] # Series again\n",
    "\n",
    "hr[[\"AGE\", \"SALARY\"]] # Datraframe\n",
    "\n",
    "hr.iloc[:5,0:2]\n",
    "\n",
    "hr.loc[:5,[\"AGE\", \"SALARY\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Content Based Filtering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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>DESIGNATION</th>\n",
       "      <th>UNIT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Analyst</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Analyst</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  DESIGNATION     UNIT\n",
       "0     Analyst  Finance\n",
       "2     Analyst  Finance"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Task: Give me only those records where Designation is : Analyst\n",
    "\n",
    "\n",
    "hr.loc[((hr.DESIGNATION=='Analyst') & (hr.UNIT == 'Finance')), :]\n",
    "\n",
    "\n",
    "hr.loc[((hr.DESIGNATION=='Analyst') & (hr.UNIT == 'Finance')), [\"DESIGNATION\",\"UNIT\"]].head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### How to add a variable\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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>FIRST NAME</th>\n",
       "      <th>LAST NAME</th>\n",
       "      <th>SEX</th>\n",
       "      <th>DOJ</th>\n",
       "      <th>CURRENT DATE</th>\n",
       "      <th>DESIGNATION</th>\n",
       "      <th>AGE</th>\n",
       "      <th>SALARY</th>\n",
       "      <th>UNIT</th>\n",
       "      <th>LEAVES USED</th>\n",
       "      <th>LEAVES REMAINING</th>\n",
       "      <th>RATINGS</th>\n",
       "      <th>PAST EXP</th>\n",
       "      <th>dummy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TOMASA</td>\n",
       "      <td>ARMEN</td>\n",
       "      <td>F</td>\n",
       "      <td>5-18-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21</td>\n",
       "      <td>44570</td>\n",
       "      <td>Finance</td>\n",
       "      <td>24</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ANNIE</td>\n",
       "      <td>ALTHAUSER</td>\n",
       "      <td>F</td>\n",
       "      <td>2-21-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Associate</td>\n",
       "      <td>31</td>\n",
       "      <td>89207</td>\n",
       "      <td>Web</td>\n",
       "      <td>17</td>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>Check</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  FIRST NAME  LAST NAME SEX        DOJ CURRENT DATE DESIGNATION  AGE  SALARY  \\\n",
       "0     TOMASA      ARMEN   F  5-18-2014   01-07-2016     Analyst   21   44570   \n",
       "1      ANNIE  ALTHAUSER   F  2-21-2014   01-07-2016   Associate   31   89207   \n",
       "\n",
       "      UNIT  LEAVES USED  LEAVES REMAINING  RATINGS  PAST EXP  dummy  \n",
       "0  Finance           24                 6        2         0  Check  \n",
       "1      Web           17                13        4         7  Check  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#hr.dummy = 'Check' # Not correct because .DOT can be used Just to access the variable\n",
    "\n",
    "hr[\"dummy\"] = 'Check'\n",
    "\n",
    "hr.head(2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "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>FIRST NAME</th>\n",
       "      <th>LAST NAME</th>\n",
       "      <th>SEX</th>\n",
       "      <th>DOJ</th>\n",
       "      <th>CURRENT DATE</th>\n",
       "      <th>DESIGNATION</th>\n",
       "      <th>AGE</th>\n",
       "      <th>SALARY</th>\n",
       "      <th>UNIT</th>\n",
       "      <th>LEAVES USED</th>\n",
       "      <th>LEAVES REMAINING</th>\n",
       "      <th>RATINGS</th>\n",
       "      <th>PAST EXP</th>\n",
       "      <th>dummy</th>\n",
       "      <th>Dummy2</th>\n",
       "      <th>dummy3</th>\n",
       "      <th>TAX</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TOMASA</td>\n",
       "      <td>ARMEN</td>\n",
       "      <td>F</td>\n",
       "      <td>5-18-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21</td>\n",
       "      <td>44570</td>\n",
       "      <td>Finance</td>\n",
       "      <td>24</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6685.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ANNIE</td>\n",
       "      <td>ALTHAUSER</td>\n",
       "      <td>F</td>\n",
       "      <td>2-21-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Associate</td>\n",
       "      <td>31</td>\n",
       "      <td>89207</td>\n",
       "      <td>Web</td>\n",
       "      <td>17</td>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>13381.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>OLIVE</td>\n",
       "      <td>ANCY</td>\n",
       "      <td>F</td>\n",
       "      <td>7-28-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21</td>\n",
       "      <td>40955</td>\n",
       "      <td>Finance</td>\n",
       "      <td>23</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6143.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CHERRY</td>\n",
       "      <td>AQUILAR</td>\n",
       "      <td>F</td>\n",
       "      <td>04-03-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22</td>\n",
       "      <td>45550</td>\n",
       "      <td>IT</td>\n",
       "      <td>22</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6832.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LEON</td>\n",
       "      <td>ABOULAHOUD</td>\n",
       "      <td>M</td>\n",
       "      <td>11-20-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25</td>\n",
       "      <td>43161</td>\n",
       "      <td>Operations</td>\n",
       "      <td>27</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6474.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>VICTORIA</td>\n",
       "      <td>ALTMIRE</td>\n",
       "      <td>F</td>\n",
       "      <td>2-19-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22</td>\n",
       "      <td>48736</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>7310.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ELLIOT</td>\n",
       "      <td>AGULAR</td>\n",
       "      <td>M</td>\n",
       "      <td>09-02-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22</td>\n",
       "      <td>40339</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6050.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>JACQUES</td>\n",
       "      <td>AKMAL</td>\n",
       "      <td>M</td>\n",
       "      <td>12-05-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25</td>\n",
       "      <td>40058</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6008.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>KATHY</td>\n",
       "      <td>ALSOP</td>\n",
       "      <td>F</td>\n",
       "      <td>6-29-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Analyst</td>\n",
       "      <td>28</td>\n",
       "      <td>63478</td>\n",
       "      <td>Operations</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>9521.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>LILIAN</td>\n",
       "      <td>APELA</td>\n",
       "      <td>F</td>\n",
       "      <td>11-11-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22</td>\n",
       "      <td>43110</td>\n",
       "      <td>Finance</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6466.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>BELLE</td>\n",
       "      <td>ARDS</td>\n",
       "      <td>F</td>\n",
       "      <td>03-10-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24</td>\n",
       "      <td>41590</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>22</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6238.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>VIRGIL</td>\n",
       "      <td>ACKIES</td>\n",
       "      <td>M</td>\n",
       "      <td>02-01-2010</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>36</td>\n",
       "      <td>160613</td>\n",
       "      <td>Finance</td>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>24091.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>WELDON</td>\n",
       "      <td>AIVAO</td>\n",
       "      <td>M</td>\n",
       "      <td>08-01-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24</td>\n",
       "      <td>44828</td>\n",
       "      <td>Finance</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6724.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>BOYD</td>\n",
       "      <td>AFTON</td>\n",
       "      <td>M</td>\n",
       "      <td>3-22-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21</td>\n",
       "      <td>45830</td>\n",
       "      <td>Web</td>\n",
       "      <td>23</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6874.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>BART</td>\n",
       "      <td>AGUILLERA</td>\n",
       "      <td>M</td>\n",
       "      <td>7-27-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24</td>\n",
       "      <td>43457</td>\n",
       "      <td>Management</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6518.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>CORINNE</td>\n",
       "      <td>ANDRZEJCZYK</td>\n",
       "      <td>F</td>\n",
       "      <td>8-13-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21</td>\n",
       "      <td>44812</td>\n",
       "      <td>IT</td>\n",
       "      <td>16</td>\n",
       "      <td>14</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6721.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>ALONZO</td>\n",
       "      <td>ADSIDE</td>\n",
       "      <td>M</td>\n",
       "      <td>9-16-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25</td>\n",
       "      <td>47636</td>\n",
       "      <td>Finance</td>\n",
       "      <td>27</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>7145.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>ROYCE</td>\n",
       "      <td>AGOSTO</td>\n",
       "      <td>M</td>\n",
       "      <td>06-07-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24</td>\n",
       "      <td>48651</td>\n",
       "      <td>Web</td>\n",
       "      <td>27</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>7297.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>BURTON</td>\n",
       "      <td>AGUILER</td>\n",
       "      <td>M</td>\n",
       "      <td>02-03-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23</td>\n",
       "      <td>40411</td>\n",
       "      <td>Management</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6061.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>PHILLIP</td>\n",
       "      <td>ABDULA</td>\n",
       "      <td>M</td>\n",
       "      <td>07-03-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24</td>\n",
       "      <td>44665</td>\n",
       "      <td>Web</td>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6699.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>ORVILLE</td>\n",
       "      <td>ADNEY</td>\n",
       "      <td>M</td>\n",
       "      <td>6-23-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25</td>\n",
       "      <td>46941</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>23</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>7041.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>KORY</td>\n",
       "      <td>ALEGRIA</td>\n",
       "      <td>M</td>\n",
       "      <td>10-11-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22</td>\n",
       "      <td>47734</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>28</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>7160.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>NETTIE</td>\n",
       "      <td>ANDRADA</td>\n",
       "      <td>F</td>\n",
       "      <td>07-11-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23</td>\n",
       "      <td>40541</td>\n",
       "      <td>Operations</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6081.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>WENDI</td>\n",
       "      <td>APPERT</td>\n",
       "      <td>F</td>\n",
       "      <td>12-02-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25</td>\n",
       "      <td>43920</td>\n",
       "      <td>Web</td>\n",
       "      <td>28</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6588.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>BRENT</td>\n",
       "      <td>ABRIL</td>\n",
       "      <td>M</td>\n",
       "      <td>02-11-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21</td>\n",
       "      <td>45832</td>\n",
       "      <td>Management</td>\n",
       "      <td>28</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6874.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>HARRIETTE</td>\n",
       "      <td>ARMSTRONG</td>\n",
       "      <td>F</td>\n",
       "      <td>1-22-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23</td>\n",
       "      <td>48102</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>17</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>7215.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>GARLAND</td>\n",
       "      <td>AGLER</td>\n",
       "      <td>M</td>\n",
       "      <td>09-07-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21</td>\n",
       "      <td>48662</td>\n",
       "      <td>Management</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>7299.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>OSWALDO</td>\n",
       "      <td>ALLENBAUGH</td>\n",
       "      <td>M</td>\n",
       "      <td>2-15-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25</td>\n",
       "      <td>49685</td>\n",
       "      <td>Operations</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>7452.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>SEYMOUR</td>\n",
       "      <td>ALBEN</td>\n",
       "      <td>M</td>\n",
       "      <td>12-21-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Analyst</td>\n",
       "      <td>25</td>\n",
       "      <td>57488</td>\n",
       "      <td>Operations</td>\n",
       "      <td>25</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>8623.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ROXANNE</td>\n",
       "      <td>AMRINE</td>\n",
       "      <td>F</td>\n",
       "      <td>3-13-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21</td>\n",
       "      <td>45410</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6811.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2609</th>\n",
       "      <td>ANTONIO</td>\n",
       "      <td>ABEDI</td>\n",
       "      <td>M</td>\n",
       "      <td>6-18-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22</td>\n",
       "      <td>43228</td>\n",
       "      <td>Management</td>\n",
       "      <td>25</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6484.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2610</th>\n",
       "      <td>LESSIE</td>\n",
       "      <td>APPLONIE</td>\n",
       "      <td>F</td>\n",
       "      <td>06-09-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Analyst</td>\n",
       "      <td>25</td>\n",
       "      <td>52370</td>\n",
       "      <td>Operations</td>\n",
       "      <td>24</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>7855.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2611</th>\n",
       "      <td>GERRY</td>\n",
       "      <td>AHSAN</td>\n",
       "      <td>M</td>\n",
       "      <td>7-14-2011</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Associate</td>\n",
       "      <td>32</td>\n",
       "      <td>94345</td>\n",
       "      <td>Management</td>\n",
       "      <td>17</td>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>14151.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2612</th>\n",
       "      <td>MAMIE</td>\n",
       "      <td>AMODT</td>\n",
       "      <td>F</td>\n",
       "      <td>5-29-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21</td>\n",
       "      <td>46432</td>\n",
       "      <td>Operations</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6964.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2613</th>\n",
       "      <td>DINAH</td>\n",
       "      <td>ARHELGER</td>\n",
       "      <td>F</td>\n",
       "      <td>09-01-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24</td>\n",
       "      <td>44599</td>\n",
       "      <td>IT</td>\n",
       "      <td>22</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6689.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2614</th>\n",
       "      <td>KELLIE</td>\n",
       "      <td>ANDERBERG</td>\n",
       "      <td>F</td>\n",
       "      <td>2-20-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22</td>\n",
       "      <td>42418</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6362.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2615</th>\n",
       "      <td>LINA</td>\n",
       "      <td>APE</td>\n",
       "      <td>F</td>\n",
       "      <td>03-07-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21</td>\n",
       "      <td>41498</td>\n",
       "      <td>Web</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6224.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2616</th>\n",
       "      <td>WINIFRED</td>\n",
       "      <td>ANDRADO</td>\n",
       "      <td>F</td>\n",
       "      <td>4-27-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22</td>\n",
       "      <td>41515</td>\n",
       "      <td>Finance</td>\n",
       "      <td>25</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6227.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2617</th>\n",
       "      <td>JEANNA</td>\n",
       "      <td>ARENIVAS</td>\n",
       "      <td>F</td>\n",
       "      <td>9-28-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25</td>\n",
       "      <td>48541</td>\n",
       "      <td>Operations</td>\n",
       "      <td>24</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>7281.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2618</th>\n",
       "      <td>HATTIE</td>\n",
       "      <td>AMICO</td>\n",
       "      <td>F</td>\n",
       "      <td>08-12-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Analyst</td>\n",
       "      <td>26</td>\n",
       "      <td>66661</td>\n",
       "      <td>Finance</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>9999.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2619</th>\n",
       "      <td>KENDRA</td>\n",
       "      <td>AMSTRONG</td>\n",
       "      <td>F</td>\n",
       "      <td>5-26-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22</td>\n",
       "      <td>44676</td>\n",
       "      <td>Operations</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6701.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2620</th>\n",
       "      <td>MOLLY</td>\n",
       "      <td>AMIDEI</td>\n",
       "      <td>F</td>\n",
       "      <td>11-28-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21</td>\n",
       "      <td>41378</td>\n",
       "      <td>Finance</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6206.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2621</th>\n",
       "      <td>PATRICIA</td>\n",
       "      <td>ALMETER</td>\n",
       "      <td>F</td>\n",
       "      <td>03-01-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22</td>\n",
       "      <td>42369</td>\n",
       "      <td>IT</td>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6355.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2622</th>\n",
       "      <td>AUDRA</td>\n",
       "      <td>ANNON</td>\n",
       "      <td>F</td>\n",
       "      <td>02-06-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22</td>\n",
       "      <td>42662</td>\n",
       "      <td>Finance</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6399.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2623</th>\n",
       "      <td>JC</td>\n",
       "      <td>ALKEMA</td>\n",
       "      <td>M</td>\n",
       "      <td>4-15-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22</td>\n",
       "      <td>41760</td>\n",
       "      <td>Finance</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6264.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2624</th>\n",
       "      <td>JOSPEH</td>\n",
       "      <td>ALLIS</td>\n",
       "      <td>M</td>\n",
       "      <td>2-26-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22</td>\n",
       "      <td>45364</td>\n",
       "      <td>Web</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6804.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2625</th>\n",
       "      <td>FRANCES</td>\n",
       "      <td>ALQUESTA</td>\n",
       "      <td>F</td>\n",
       "      <td>5-17-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21</td>\n",
       "      <td>49892</td>\n",
       "      <td>Finance</td>\n",
       "      <td>28</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>7483.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2626</th>\n",
       "      <td>LEE</td>\n",
       "      <td>ABERLE</td>\n",
       "      <td>M</td>\n",
       "      <td>12-15-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22</td>\n",
       "      <td>49617</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>16</td>\n",
       "      <td>14</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>7442.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2627</th>\n",
       "      <td>ROBYN</td>\n",
       "      <td>AMSDELL</td>\n",
       "      <td>F</td>\n",
       "      <td>10-01-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23</td>\n",
       "      <td>42877</td>\n",
       "      <td>Operations</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6431.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2628</th>\n",
       "      <td>DREW</td>\n",
       "      <td>ADOLF</td>\n",
       "      <td>M</td>\n",
       "      <td>12-01-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21</td>\n",
       "      <td>48866</td>\n",
       "      <td>Finance</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>7329.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2629</th>\n",
       "      <td>RICKIE</td>\n",
       "      <td>AICHELE</td>\n",
       "      <td>M</td>\n",
       "      <td>9-28-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25</td>\n",
       "      <td>47849</td>\n",
       "      <td>IT</td>\n",
       "      <td>22</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>7177.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2630</th>\n",
       "      <td>ELVIA</td>\n",
       "      <td>APPELGREN</td>\n",
       "      <td>F</td>\n",
       "      <td>5-18-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24</td>\n",
       "      <td>44424</td>\n",
       "      <td>IT</td>\n",
       "      <td>25</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6663.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2631</th>\n",
       "      <td>BILLY</td>\n",
       "      <td>ABDELAZIZ</td>\n",
       "      <td>M</td>\n",
       "      <td>06-06-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25</td>\n",
       "      <td>43884</td>\n",
       "      <td>Finance</td>\n",
       "      <td>23</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6582.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2632</th>\n",
       "      <td>MARLENE</td>\n",
       "      <td>AMAYA</td>\n",
       "      <td>F</td>\n",
       "      <td>9-15-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22</td>\n",
       "      <td>43835</td>\n",
       "      <td>Management</td>\n",
       "      <td>26</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6575.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2633</th>\n",
       "      <td>ALENE</td>\n",
       "      <td>ARILDSEN</td>\n",
       "      <td>F</td>\n",
       "      <td>8-20-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24</td>\n",
       "      <td>40277</td>\n",
       "      <td>Web</td>\n",
       "      <td>17</td>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6041.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2634</th>\n",
       "      <td>KATHERINE</td>\n",
       "      <td>ALSDON</td>\n",
       "      <td>F</td>\n",
       "      <td>6-28-2011</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>36</td>\n",
       "      <td>185977</td>\n",
       "      <td>Management</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>27896.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2635</th>\n",
       "      <td>LOUISE</td>\n",
       "      <td>ALTARAS</td>\n",
       "      <td>F</td>\n",
       "      <td>1-14-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23</td>\n",
       "      <td>45758</td>\n",
       "      <td>IT</td>\n",
       "      <td>17</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6863.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2636</th>\n",
       "      <td>RENEE</td>\n",
       "      <td>ALVINO</td>\n",
       "      <td>F</td>\n",
       "      <td>1-23-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21</td>\n",
       "      <td>47315</td>\n",
       "      <td>Web</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>7097.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2637</th>\n",
       "      <td>TERI</td>\n",
       "      <td>ANASTASIO</td>\n",
       "      <td>F</td>\n",
       "      <td>3-17-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24</td>\n",
       "      <td>45172</td>\n",
       "      <td>Web</td>\n",
       "      <td>23</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>6775.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2638</th>\n",
       "      <td>GREGORY</td>\n",
       "      <td>ABARCA</td>\n",
       "      <td>M</td>\n",
       "      <td>9-18-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24</td>\n",
       "      <td>49176</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>17</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>Check</td>\n",
       "      <td>check2</td>\n",
       "      <td>check3</td>\n",
       "      <td>7376.40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2639 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     FIRST NAME    LAST NAME SEX         DOJ CURRENT DATE     DESIGNATION  \\\n",
       "0        TOMASA        ARMEN   F   5-18-2014   01-07-2016         Analyst   \n",
       "1         ANNIE    ALTHAUSER   F   2-21-2014   01-07-2016       Associate   \n",
       "2         OLIVE         ANCY   F   7-28-2014   01-07-2016         Analyst   \n",
       "3        CHERRY      AQUILAR   F  04-03-2013   01-07-2016         Analyst   \n",
       "4          LEON   ABOULAHOUD   M  11-20-2014   01-07-2016         Analyst   \n",
       "5      VICTORIA      ALTMIRE   F   2-19-2013   01-07-2016         Analyst   \n",
       "6        ELLIOT       AGULAR   M  09-02-2013   01-07-2016         Analyst   \n",
       "7       JACQUES        AKMAL   M  12-05-2013   01-07-2016         Analyst   \n",
       "8         KATHY        ALSOP   F   6-29-2014   01-07-2016  Senior Analyst   \n",
       "9        LILIAN        APELA   F  11-11-2014   01-07-2016         Analyst   \n",
       "10        BELLE         ARDS   F  03-10-2014   01-07-2016         Analyst   \n",
       "11       VIRGIL       ACKIES   M  02-01-2010   01-07-2016  Senior Manager   \n",
       "12       WELDON        AIVAO   M  08-01-2013   01-07-2016         Analyst   \n",
       "13         BOYD        AFTON   M   3-22-2013   01-07-2016         Analyst   \n",
       "14         BART    AGUILLERA   M   7-27-2013   01-07-2016         Analyst   \n",
       "15      CORINNE  ANDRZEJCZYK   F   8-13-2014   01-07-2016         Analyst   \n",
       "16       ALONZO       ADSIDE   M   9-16-2013   01-07-2016         Analyst   \n",
       "17        ROYCE       AGOSTO   M  06-07-2014   01-07-2016         Analyst   \n",
       "18       BURTON      AGUILER   M  02-03-2013   01-07-2016         Analyst   \n",
       "19      PHILLIP       ABDULA   M  07-03-2013   01-07-2016         Analyst   \n",
       "20      ORVILLE        ADNEY   M   6-23-2013   01-07-2016         Analyst   \n",
       "21         KORY      ALEGRIA   M  10-11-2013   01-07-2016         Analyst   \n",
       "22       NETTIE      ANDRADA   F  07-11-2014   01-07-2016         Analyst   \n",
       "23        WENDI       APPERT   F  12-02-2013   01-07-2016         Analyst   \n",
       "24        BRENT        ABRIL   M  02-11-2013   01-07-2016         Analyst   \n",
       "25    HARRIETTE    ARMSTRONG   F   1-22-2014   01-07-2016         Analyst   \n",
       "26      GARLAND        AGLER   M  09-07-2014   01-07-2016         Analyst   \n",
       "27      OSWALDO   ALLENBAUGH   M   2-15-2013   01-07-2016         Analyst   \n",
       "28      SEYMOUR        ALBEN   M  12-21-2014   01-07-2016  Senior Analyst   \n",
       "29      ROXANNE       AMRINE   F   3-13-2013   01-07-2016         Analyst   \n",
       "...         ...          ...  ..         ...          ...             ...   \n",
       "2609    ANTONIO        ABEDI   M   6-18-2014   01-07-2016         Analyst   \n",
       "2610     LESSIE     APPLONIE   F  06-09-2013   01-07-2016  Senior Analyst   \n",
       "2611      GERRY        AHSAN   M   7-14-2011   01-07-2016       Associate   \n",
       "2612      MAMIE        AMODT   F   5-29-2013   01-07-2016         Analyst   \n",
       "2613      DINAH     ARHELGER   F  09-01-2013   01-07-2016         Analyst   \n",
       "2614     KELLIE    ANDERBERG   F   2-20-2014   01-07-2016         Analyst   \n",
       "2615       LINA          APE   F  03-07-2014   01-07-2016         Analyst   \n",
       "2616   WINIFRED      ANDRADO   F   4-27-2013   01-07-2016         Analyst   \n",
       "2617     JEANNA     ARENIVAS   F   9-28-2013   01-07-2016         Analyst   \n",
       "2618     HATTIE        AMICO   F  08-12-2013   01-07-2016  Senior Analyst   \n",
       "2619     KENDRA     AMSTRONG   F   5-26-2013   01-07-2016         Analyst   \n",
       "2620      MOLLY       AMIDEI   F  11-28-2013   01-07-2016         Analyst   \n",
       "2621   PATRICIA      ALMETER   F  03-01-2014   01-07-2016         Analyst   \n",
       "2622      AUDRA        ANNON   F  02-06-2014   01-07-2016         Analyst   \n",
       "2623         JC       ALKEMA   M   4-15-2013   01-07-2016         Analyst   \n",
       "2624     JOSPEH        ALLIS   M   2-26-2014   01-07-2016         Analyst   \n",
       "2625    FRANCES     ALQUESTA   F   5-17-2013   01-07-2016         Analyst   \n",
       "2626        LEE       ABERLE   M  12-15-2013   01-07-2016         Analyst   \n",
       "2627      ROBYN      AMSDELL   F  10-01-2014   01-07-2016         Analyst   \n",
       "2628       DREW        ADOLF   M  12-01-2013   01-07-2016         Analyst   \n",
       "2629     RICKIE      AICHELE   M   9-28-2013   01-07-2016         Analyst   \n",
       "2630      ELVIA    APPELGREN   F   5-18-2013   01-07-2016         Analyst   \n",
       "2631      BILLY    ABDELAZIZ   M  06-06-2013   01-07-2016         Analyst   \n",
       "2632    MARLENE        AMAYA   F   9-15-2014   01-07-2016         Analyst   \n",
       "2633      ALENE     ARILDSEN   F   8-20-2014   01-07-2016         Analyst   \n",
       "2634  KATHERINE       ALSDON   F   6-28-2011   01-07-2016  Senior Manager   \n",
       "2635     LOUISE      ALTARAS   F   1-14-2014   01-07-2016         Analyst   \n",
       "2636      RENEE       ALVINO   F   1-23-2014   01-07-2016         Analyst   \n",
       "2637       TERI    ANASTASIO   F   3-17-2014   01-07-2016         Analyst   \n",
       "2638    GREGORY       ABARCA   M   9-18-2014   01-07-2016         Analyst   \n",
       "\n",
       "      AGE  SALARY        UNIT  LEAVES USED  LEAVES REMAINING  RATINGS  \\\n",
       "0      21   44570     Finance           24                 6        2   \n",
       "1      31   89207         Web           17                13        4   \n",
       "2      21   40955     Finance           23                 7        3   \n",
       "3      22   45550          IT           22                 8        3   \n",
       "4      25   43161  Operations           27                 3        3   \n",
       "5      22   48736   Marketing           20                10        4   \n",
       "6      22   40339   Marketing           19                11        5   \n",
       "7      25   40058   Marketing           29                 1        2   \n",
       "8      28   63478  Operations           20                10        3   \n",
       "9      22   43110     Finance           15                15        3   \n",
       "10     24   41590   Marketing           22                 8        4   \n",
       "11     36  160613     Finance           19                11        2   \n",
       "12     24   44828     Finance           15                15        5   \n",
       "13     21   45830         Web           23                 7        2   \n",
       "14     24   43457  Management           30                 0        4   \n",
       "15     21   44812          IT           16                14        5   \n",
       "16     25   47636     Finance           27                 3        3   \n",
       "17     24   48651         Web           27                 3        5   \n",
       "18     23   40411  Management           21                 9        3   \n",
       "19     24   44665         Web           18                12        5   \n",
       "20     25   46941   Marketing           23                 7        3   \n",
       "21     22   47734   Marketing           28                 2        5   \n",
       "22     23   40541  Operations           15                15        5   \n",
       "23     25   43920         Web           28                 2        2   \n",
       "24     21   45832  Management           28                 2        2   \n",
       "25     23   48102   Marketing           17                13        2   \n",
       "26     21   48662  Management           30                 0        5   \n",
       "27     25   49685  Operations           15                15        2   \n",
       "28     25   57488  Operations           25                 5        3   \n",
       "29     21   45410   Marketing           29                 1        2   \n",
       "...   ...     ...         ...          ...               ...      ...   \n",
       "2609   22   43228  Management           25                 5        4   \n",
       "2610   25   52370  Operations           24                 6        5   \n",
       "2611   32   94345  Management           17                13        4   \n",
       "2612   21   46432  Operations           30                 0        4   \n",
       "2613   24   44599          IT           22                 8        2   \n",
       "2614   22   42418   Marketing           20                10        3   \n",
       "2615   21   41498         Web           21                 9        5   \n",
       "2616   22   41515     Finance           25                 5        5   \n",
       "2617   25   48541  Operations           24                 6        2   \n",
       "2618   26   66661     Finance           30                 0        5   \n",
       "2619   22   44676  Operations           15                15        3   \n",
       "2620   21   41378     Finance           21                 9        5   \n",
       "2621   22   42369          IT           18                12        4   \n",
       "2622   22   42662     Finance           29                 1        3   \n",
       "2623   22   41760     Finance           21                 9        2   \n",
       "2624   22   45364         Web           20                10        2   \n",
       "2625   21   49892     Finance           28                 2        4   \n",
       "2626   22   49617   Marketing           16                14        5   \n",
       "2627   23   42877  Operations           21                 9        2   \n",
       "2628   21   48866     Finance           20                10        3   \n",
       "2629   25   47849          IT           22                 8        2   \n",
       "2630   24   44424          IT           25                 5        2   \n",
       "2631   25   43884     Finance           23                 7        4   \n",
       "2632   22   43835  Management           26                 4        4   \n",
       "2633   24   40277         Web           17                13        4   \n",
       "2634   36  185977  Management           15                15        5   \n",
       "2635   23   45758          IT           17                13        2   \n",
       "2636   21   47315         Web           29                 1        5   \n",
       "2637   24   45172         Web           23                 7        3   \n",
       "2638   24   49176   Marketing           17                13        2   \n",
       "\n",
       "      PAST EXP  dummy  Dummy2  dummy3       TAX  \n",
       "0            0  Check  check2  check3   6685.50  \n",
       "1            7  Check  check2  check3  13381.05  \n",
       "2            0  Check  check2  check3   6143.25  \n",
       "3            0  Check  check2  check3   6832.50  \n",
       "4            3  Check  check2  check3   6474.15  \n",
       "5            0  Check  check2  check3   7310.40  \n",
       "6            0  Check  check2  check3   6050.85  \n",
       "7            2  Check  check2  check3   6008.70  \n",
       "8            1  Check  check2  check3   9521.70  \n",
       "9            0  Check  check2  check3   6466.50  \n",
       "10           1  Check  check2  check3   6238.50  \n",
       "11           9  Check  check2  check3  24091.95  \n",
       "12           1  Check  check2  check3   6724.20  \n",
       "13           0  Check  check2  check3   6874.50  \n",
       "14           1  Check  check2  check3   6518.55  \n",
       "15           0  Check  check2  check3   6721.80  \n",
       "16           2  Check  check2  check3   7145.40  \n",
       "17           1  Check  check2  check3   7297.65  \n",
       "18           0  Check  check2  check3   6061.65  \n",
       "19           0  Check  check2  check3   6699.75  \n",
       "20           1  Check  check2  check3   7041.15  \n",
       "21           0  Check  check2  check3   7160.10  \n",
       "22           1  Check  check2  check3   6081.15  \n",
       "23           2  Check  check2  check3   6588.00  \n",
       "24           0  Check  check2  check3   6874.80  \n",
       "25           0  Check  check2  check3   7215.30  \n",
       "26           0  Check  check2  check3   7299.30  \n",
       "27           1  Check  check2  check3   7452.75  \n",
       "28           0  Check  check2  check3   8623.20  \n",
       "29           0  Check  check2  check3   6811.50  \n",
       "...        ...    ...     ...     ...       ...  \n",
       "2609         0  Check  check2  check3   6484.20  \n",
       "2610         0  Check  check2  check3   7855.50  \n",
       "2611         5  Check  check2  check3  14151.75  \n",
       "2612         0  Check  check2  check3   6964.80  \n",
       "2613         1  Check  check2  check3   6689.85  \n",
       "2614         0  Check  check2  check3   6362.70  \n",
       "2615         0  Check  check2  check3   6224.70  \n",
       "2616         0  Check  check2  check3   6227.25  \n",
       "2617         2  Check  check2  check3   7281.15  \n",
       "2618         2  Check  check2  check3   9999.15  \n",
       "2619         0  Check  check2  check3   6701.40  \n",
       "2620         0  Check  check2  check3   6206.70  \n",
       "2621         0  Check  check2  check3   6355.35  \n",
       "2622         0  Check  check2  check3   6399.30  \n",
       "2623         0  Check  check2  check3   6264.00  \n",
       "2624         0  Check  check2  check3   6804.60  \n",
       "2625         0  Check  check2  check3   7483.80  \n",
       "2626         0  Check  check2  check3   7442.55  \n",
       "2627         1  Check  check2  check3   6431.55  \n",
       "2628         0  Check  check2  check3   7329.90  \n",
       "2629         2  Check  check2  check3   7177.35  \n",
       "2630         0  Check  check2  check3   6663.60  \n",
       "2631         1  Check  check2  check3   6582.60  \n",
       "2632         0  Check  check2  check3   6575.25  \n",
       "2633         2  Check  check2  check3   6041.55  \n",
       "2634        10  Check  check2  check3  27896.55  \n",
       "2635         0  Check  check2  check3   6863.70  \n",
       "2636         0  Check  check2  check3   7097.25  \n",
       "2637         1  Check  check2  check3   6775.80  \n",
       "2638         2  Check  check2  check3   7376.40  \n",
       "\n",
       "[2639 rows x 17 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hr.assign(Dummy2 = \"check2\", dummy3 = \"check3\", TAX = .15*hr.SALARY)# this is the function PANDAS for creating a variable\n",
    "                       # print(dir(hr))\n",
    "    \n",
    "#hr.info()\n",
    "\n",
    "#hr.assign()?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### How to delete the columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2639 entries, 0 to 2638\n",
      "Data columns (total 13 columns):\n",
      "FIRST NAME          2639 non-null object\n",
      "LAST NAME           2639 non-null object\n",
      "SEX                 2639 non-null object\n",
      "DOJ                 2639 non-null object\n",
      "CURRENT DATE        2639 non-null object\n",
      "DESIGNATION         2639 non-null object\n",
      "AGE                 2639 non-null int64\n",
      "SALARY              2639 non-null int64\n",
      "UNIT                2639 non-null object\n",
      "LEAVES USED         2639 non-null int64\n",
      "LEAVES REMAINING    2639 non-null int64\n",
      "RATINGS             2639 non-null int64\n",
      "PAST EXP            2639 non-null int64\n",
      "dtypes: int64(6), object(7)\n",
      "memory usage: 268.1+ KB\n"
     ]
    }
   ],
   "source": [
    "# 1 method : #del(hr[\"dummy\"])\n",
    "# 2 Mehtod \n",
    "hr.drop()\n",
    "\n",
    "#1 \n",
    "#hr = hr.drop(columns = [\"Dummy1\",\"Dummy_str\",\"dummy3\"])\n",
    "\n",
    "#hr = hr.drop([\"Dummy1\",\"Dummy_str\",\"dummy3\"], axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "### TAsks for the next two days:\n",
    "Hint: \n",
    "    1) think about the requirement\n",
    "    2) Find teh way (algo/ logic) needs to be applied\n",
    "    3) then, either GOOGLE | STackoverflow out the way to get this thing done in python, and use HELP window\n",
    "          or wait for the next class and waste your time sitting idle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Steps here to be follow to solve the Problem statement\n",
    "\n",
    "1- Import the file\n",
    "2- Removing all the insignificant variable : del | Drop\n",
    "3- Add a new column - YEAR.    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Task 1 - Using the 'Sample Super store' Excel file, find the total returned value of each year and each segment\n",
    "# Task`2 - Using the RFM Data, please segment the customers as discussed in the class\n",
    "           \n",
    "Volunteers ? ADITI | ADITYA | ANSHUL | AKSHAY | AMIT | HITESH | NIKITA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# I have been given the excel file ?\n",
    "# where I have 3 sheets to deal with ?\n",
    "#________________________________________\n",
    "\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "st = pd.read_excel?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "order = pd.read_excel(\"C:\\\\Users\\\\aagarwal\\\\Desktop\\\\DataSetsR\\\\Sample - Superstore.xls\", sheet_name=0)\n",
    "returned = pd.read_excel(\"C:\\\\Users\\\\aagarwal\\\\Desktop\\\\DataSetsR\\\\Sample - Superstore.xls\", sheet_name=1)\n",
    "\n",
    "\n",
    "#___________________\n",
    "\n",
    "# Its all, about what needs to be done isntead of how that has to be done in Python ?\n",
    "# because 1) Google or 2) Help window obviously has to be used"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "# think of removing all the extra variable\n",
    "# - Find or Year VAriable\n",
    "# Merging - Right Join| inner join\n",
    "# Grouping - Year and Segment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.read_excel?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>Row ID</th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Ship Date</th>\n",
       "      <th>Ship Mode</th>\n",
       "      <th>Customer ID</th>\n",
       "      <th>Customer Name</th>\n",
       "      <th>Segment</th>\n",
       "      <th>Country</th>\n",
       "      <th>City</th>\n",
       "      <th>...</th>\n",
       "      <th>Postal Code</th>\n",
       "      <th>Region</th>\n",
       "      <th>Product ID</th>\n",
       "      <th>Category</th>\n",
       "      <th>Sub-Category</th>\n",
       "      <th>Product Name</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>Discount</th>\n",
       "      <th>Profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>CA-2016-152156</td>\n",
       "      <td>2016-11-08</td>\n",
       "      <td>2016-11-11</td>\n",
       "      <td>Second Class</td>\n",
       "      <td>CG-12520</td>\n",
       "      <td>Claire Gute</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Henderson</td>\n",
       "      <td>...</td>\n",
       "      <td>42420</td>\n",
       "      <td>South</td>\n",
       "      <td>FUR-BO-10001798</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Bookcases</td>\n",
       "      <td>Bush Somerset Collection Bookcase</td>\n",
       "      <td>261.96</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>41.9136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>CA-2016-152156</td>\n",
       "      <td>2016-11-08</td>\n",
       "      <td>2016-11-11</td>\n",
       "      <td>Second Class</td>\n",
       "      <td>CG-12520</td>\n",
       "      <td>Claire Gute</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Henderson</td>\n",
       "      <td>...</td>\n",
       "      <td>42420</td>\n",
       "      <td>South</td>\n",
       "      <td>FUR-CH-10000454</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Chairs</td>\n",
       "      <td>Hon Deluxe Fabric Upholstered Stacking Chairs,...</td>\n",
       "      <td>731.94</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>219.5820</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Row ID        Order ID Order Date  Ship Date     Ship Mode Customer ID  \\\n",
       "0       1  CA-2016-152156 2016-11-08 2016-11-11  Second Class    CG-12520   \n",
       "1       2  CA-2016-152156 2016-11-08 2016-11-11  Second Class    CG-12520   \n",
       "\n",
       "  Customer Name   Segment        Country       City    ...    Postal Code  \\\n",
       "0   Claire Gute  Consumer  United States  Henderson    ...          42420   \n",
       "1   Claire Gute  Consumer  United States  Henderson    ...          42420   \n",
       "\n",
       "   Region       Product ID   Category Sub-Category  \\\n",
       "0   South  FUR-BO-10001798  Furniture    Bookcases   \n",
       "1   South  FUR-CH-10000454  Furniture       Chairs   \n",
       "\n",
       "                                        Product Name   Sales  Quantity  \\\n",
       "0                  Bush Somerset Collection Bookcase  261.96         2   \n",
       "1  Hon Deluxe Fabric Upholstered Stacking Chairs,...  731.94         3   \n",
       "\n",
       "   Discount    Profit  \n",
       "0       0.0   41.9136  \n",
       "1       0.0  219.5820  \n",
       "\n",
       "[2 rows x 21 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "st.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Sorting the data:\n",
    "\n",
    "Ordering the data based on one or more then variable either in ascending or in descending order\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>FIRST NAME</th>\n",
       "      <th>LAST NAME</th>\n",
       "      <th>SEX</th>\n",
       "      <th>DOJ</th>\n",
       "      <th>CURRENT DATE</th>\n",
       "      <th>DESIGNATION</th>\n",
       "      <th>AGE</th>\n",
       "      <th>SALARY</th>\n",
       "      <th>UNIT</th>\n",
       "      <th>LEAVES USED</th>\n",
       "      <th>LEAVES REMAINING</th>\n",
       "      <th>RATINGS</th>\n",
       "      <th>PAST EXP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>MABEL</td>\n",
       "      <td>AMBRIZ</td>\n",
       "      <td>F</td>\n",
       "      <td>1-21-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>38</td>\n",
       "      <td>199577</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1418</th>\n",
       "      <td>GILBERTO</td>\n",
       "      <td>ADLING</td>\n",
       "      <td>M</td>\n",
       "      <td>06-09-2011</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>37</td>\n",
       "      <td>199060</td>\n",
       "      <td>IT</td>\n",
       "      <td>28</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>DANNIE</td>\n",
       "      <td>ALEMAN</td>\n",
       "      <td>M</td>\n",
       "      <td>5-17-2010</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>36</td>\n",
       "      <td>198814</td>\n",
       "      <td>Operations</td>\n",
       "      <td>22</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1932</th>\n",
       "      <td>SANDY</td>\n",
       "      <td>AMIGON</td>\n",
       "      <td>F</td>\n",
       "      <td>10-18-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>36</td>\n",
       "      <td>197900</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1799</th>\n",
       "      <td>JORDAN</td>\n",
       "      <td>ANTONINI</td>\n",
       "      <td>F</td>\n",
       "      <td>11-12-2011</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>35</td>\n",
       "      <td>197526</td>\n",
       "      <td>IT</td>\n",
       "      <td>27</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1221</th>\n",
       "      <td>MARYANNE</td>\n",
       "      <td>APGAR</td>\n",
       "      <td>F</td>\n",
       "      <td>10-24-2011</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>39</td>\n",
       "      <td>197246</td>\n",
       "      <td>Management</td>\n",
       "      <td>22</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1556</th>\n",
       "      <td>WANDA</td>\n",
       "      <td>ALTENBURG</td>\n",
       "      <td>F</td>\n",
       "      <td>2-23-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>35</td>\n",
       "      <td>196857</td>\n",
       "      <td>IT</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>833</th>\n",
       "      <td>EBONY</td>\n",
       "      <td>ANDRA</td>\n",
       "      <td>F</td>\n",
       "      <td>07-06-2010</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>38</td>\n",
       "      <td>196757</td>\n",
       "      <td>IT</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2575</th>\n",
       "      <td>SABRINA</td>\n",
       "      <td>AMEZQUITA</td>\n",
       "      <td>F</td>\n",
       "      <td>7-23-2012</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>36</td>\n",
       "      <td>195985</td>\n",
       "      <td>Finance</td>\n",
       "      <td>26</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1772</th>\n",
       "      <td>KRISTY</td>\n",
       "      <td>AMODIO</td>\n",
       "      <td>F</td>\n",
       "      <td>2-25-2012</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>36</td>\n",
       "      <td>195984</td>\n",
       "      <td>Management</td>\n",
       "      <td>17</td>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2595</th>\n",
       "      <td>JAMIE</td>\n",
       "      <td>ALUMMOOTTIL</td>\n",
       "      <td>F</td>\n",
       "      <td>09-11-2010</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>38</td>\n",
       "      <td>194701</td>\n",
       "      <td>Management</td>\n",
       "      <td>26</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>SAVANNAH</td>\n",
       "      <td>APREA</td>\n",
       "      <td>F</td>\n",
       "      <td>12-20-2011</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>38</td>\n",
       "      <td>193621</td>\n",
       "      <td>Operations</td>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1856</th>\n",
       "      <td>IGNACIO</td>\n",
       "      <td>ADOMAITIS</td>\n",
       "      <td>M</td>\n",
       "      <td>06-12-2012</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>39</td>\n",
       "      <td>193319</td>\n",
       "      <td>Finance</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1575</th>\n",
       "      <td>OMAR</td>\n",
       "      <td>ADAMOWSKI</td>\n",
       "      <td>M</td>\n",
       "      <td>1-28-2011</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>35</td>\n",
       "      <td>192623</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>17</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>SHARLENE</td>\n",
       "      <td>ARBUTHNOT</td>\n",
       "      <td>F</td>\n",
       "      <td>09-05-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>39</td>\n",
       "      <td>191793</td>\n",
       "      <td>IT</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2163</th>\n",
       "      <td>ROXANNA</td>\n",
       "      <td>ARLEN</td>\n",
       "      <td>F</td>\n",
       "      <td>2-20-2010</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>38</td>\n",
       "      <td>190850</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>25</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1884</th>\n",
       "      <td>ELTON</td>\n",
       "      <td>AGREDA</td>\n",
       "      <td>M</td>\n",
       "      <td>10-21-2012</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>39</td>\n",
       "      <td>190626</td>\n",
       "      <td>Finance</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1164</th>\n",
       "      <td>AVA</td>\n",
       "      <td>ANTCZAK</td>\n",
       "      <td>F</td>\n",
       "      <td>07-07-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>36</td>\n",
       "      <td>190618</td>\n",
       "      <td>Operations</td>\n",
       "      <td>26</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2091</th>\n",
       "      <td>RUBY</td>\n",
       "      <td>ALTERI</td>\n",
       "      <td>F</td>\n",
       "      <td>1-21-2011</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>37</td>\n",
       "      <td>190414</td>\n",
       "      <td>Management</td>\n",
       "      <td>26</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>ALLAN</td>\n",
       "      <td>ACEVES</td>\n",
       "      <td>M</td>\n",
       "      <td>04-09-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>38</td>\n",
       "      <td>189435</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2523</th>\n",
       "      <td>ALLAN</td>\n",
       "      <td>ACEVES</td>\n",
       "      <td>M</td>\n",
       "      <td>04-09-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>38</td>\n",
       "      <td>189435</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1178</th>\n",
       "      <td>MIKE</td>\n",
       "      <td>ABELA</td>\n",
       "      <td>M</td>\n",
       "      <td>4-19-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>37</td>\n",
       "      <td>189307</td>\n",
       "      <td>Finance</td>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2584</th>\n",
       "      <td>KRISTAL</td>\n",
       "      <td>ARMOLD</td>\n",
       "      <td>F</td>\n",
       "      <td>01-05-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>38</td>\n",
       "      <td>187837</td>\n",
       "      <td>Web</td>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>885</th>\n",
       "      <td>CANDIDA</td>\n",
       "      <td>ARIS</td>\n",
       "      <td>F</td>\n",
       "      <td>10-17-2012</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>39</td>\n",
       "      <td>187426</td>\n",
       "      <td>IT</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>CYRUS</td>\n",
       "      <td>ALANIS</td>\n",
       "      <td>M</td>\n",
       "      <td>12-06-2010</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>36</td>\n",
       "      <td>186356</td>\n",
       "      <td>Finance</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2634</th>\n",
       "      <td>KATHERINE</td>\n",
       "      <td>ALSDON</td>\n",
       "      <td>F</td>\n",
       "      <td>6-28-2011</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>36</td>\n",
       "      <td>185977</td>\n",
       "      <td>Management</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>687</th>\n",
       "      <td>ALEJANDRO</td>\n",
       "      <td>ACOSTO</td>\n",
       "      <td>M</td>\n",
       "      <td>1-28-2015</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>35</td>\n",
       "      <td>185221</td>\n",
       "      <td>Operations</td>\n",
       "      <td>24</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1400</th>\n",
       "      <td>RODNEY</td>\n",
       "      <td>ABELLA</td>\n",
       "      <td>M</td>\n",
       "      <td>09-01-2012</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>35</td>\n",
       "      <td>185205</td>\n",
       "      <td>Management</td>\n",
       "      <td>17</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>618</th>\n",
       "      <td>PERRY</td>\n",
       "      <td>ACKLAND</td>\n",
       "      <td>M</td>\n",
       "      <td>10-07-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>37</td>\n",
       "      <td>184143</td>\n",
       "      <td>IT</td>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1702</th>\n",
       "      <td>TIARA</td>\n",
       "      <td>ARMINTROUT</td>\n",
       "      <td>F</td>\n",
       "      <td>1-17-2012</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>35</td>\n",
       "      <td>182134</td>\n",
       "      <td>Web</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>591</th>\n",
       "      <td>VERN</td>\n",
       "      <td>AID</td>\n",
       "      <td>M</td>\n",
       "      <td>2-26-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23</td>\n",
       "      <td>40183</td>\n",
       "      <td>IT</td>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1388</th>\n",
       "      <td>TERA</td>\n",
       "      <td>ARGUMEDO</td>\n",
       "      <td>F</td>\n",
       "      <td>10-14-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24</td>\n",
       "      <td>40180</td>\n",
       "      <td>Management</td>\n",
       "      <td>23</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2157</th>\n",
       "      <td>MARGARITA</td>\n",
       "      <td>AMESCUA</td>\n",
       "      <td>F</td>\n",
       "      <td>02-05-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25</td>\n",
       "      <td>40161</td>\n",
       "      <td>Operations</td>\n",
       "      <td>17</td>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2125</th>\n",
       "      <td>LAVERNE</td>\n",
       "      <td>ALAMILLA</td>\n",
       "      <td>M</td>\n",
       "      <td>06-11-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25</td>\n",
       "      <td>40149</td>\n",
       "      <td>Finance</td>\n",
       "      <td>16</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>875</th>\n",
       "      <td>BERNIECE</td>\n",
       "      <td>ARMIJOS</td>\n",
       "      <td>F</td>\n",
       "      <td>10-23-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21</td>\n",
       "      <td>40142</td>\n",
       "      <td>Web</td>\n",
       "      <td>26</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>869</th>\n",
       "      <td>ERNESTO</td>\n",
       "      <td>ADAMIK</td>\n",
       "      <td>M</td>\n",
       "      <td>03-08-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25</td>\n",
       "      <td>40140</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>463</th>\n",
       "      <td>FRAN</td>\n",
       "      <td>APOLLO</td>\n",
       "      <td>F</td>\n",
       "      <td>11-04-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23</td>\n",
       "      <td>40134</td>\n",
       "      <td>Finance</td>\n",
       "      <td>26</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>716</th>\n",
       "      <td>DEWITT</td>\n",
       "      <td>ALDEN</td>\n",
       "      <td>M</td>\n",
       "      <td>1-14-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25</td>\n",
       "      <td>40113</td>\n",
       "      <td>Web</td>\n",
       "      <td>25</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1831</th>\n",
       "      <td>MELANIE</td>\n",
       "      <td>ALVORD</td>\n",
       "      <td>F</td>\n",
       "      <td>01-05-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25</td>\n",
       "      <td>40113</td>\n",
       "      <td>Management</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2235</th>\n",
       "      <td>MELANIE</td>\n",
       "      <td>ALVORD</td>\n",
       "      <td>F</td>\n",
       "      <td>01-05-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25</td>\n",
       "      <td>40113</td>\n",
       "      <td>Management</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>647</th>\n",
       "      <td>MYRNA</td>\n",
       "      <td>ANDREADIS</td>\n",
       "      <td>F</td>\n",
       "      <td>1-16-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25</td>\n",
       "      <td>40105</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>27</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>NORBERT</td>\n",
       "      <td>AHALT</td>\n",
       "      <td>M</td>\n",
       "      <td>3-27-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21</td>\n",
       "      <td>40095</td>\n",
       "      <td>Management</td>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2180</th>\n",
       "      <td>ARNOLD</td>\n",
       "      <td>ACCALA</td>\n",
       "      <td>M</td>\n",
       "      <td>9-29-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21</td>\n",
       "      <td>40095</td>\n",
       "      <td>Finance</td>\n",
       "      <td>17</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2568</th>\n",
       "      <td>ENOCH</td>\n",
       "      <td>ALFERA</td>\n",
       "      <td>M</td>\n",
       "      <td>6-13-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23</td>\n",
       "      <td>40086</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>25</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2172</th>\n",
       "      <td>NOBLE</td>\n",
       "      <td>ALFANDRE</td>\n",
       "      <td>M</td>\n",
       "      <td>11-24-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23</td>\n",
       "      <td>40085</td>\n",
       "      <td>Finance</td>\n",
       "      <td>24</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2511</th>\n",
       "      <td>SOLEDAD</td>\n",
       "      <td>ARGUE</td>\n",
       "      <td>F</td>\n",
       "      <td>8-22-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25</td>\n",
       "      <td>40073</td>\n",
       "      <td>IT</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>JAYSON</td>\n",
       "      <td>AINSLIE</td>\n",
       "      <td>M</td>\n",
       "      <td>5-25-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21</td>\n",
       "      <td>40065</td>\n",
       "      <td>Web</td>\n",
       "      <td>23</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2571</th>\n",
       "      <td>DAMIAN</td>\n",
       "      <td>AGRESTE</td>\n",
       "      <td>M</td>\n",
       "      <td>11-02-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24</td>\n",
       "      <td>40065</td>\n",
       "      <td>IT</td>\n",
       "      <td>24</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>STAN</td>\n",
       "      <td>AGRESTO</td>\n",
       "      <td>M</td>\n",
       "      <td>05-08-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25</td>\n",
       "      <td>40060</td>\n",
       "      <td>Management</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>JACQUES</td>\n",
       "      <td>AKMAL</td>\n",
       "      <td>M</td>\n",
       "      <td>12-05-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25</td>\n",
       "      <td>40058</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>893</th>\n",
       "      <td>ANTOINE</td>\n",
       "      <td>AGOSTINELLI</td>\n",
       "      <td>M</td>\n",
       "      <td>1-25-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22</td>\n",
       "      <td>40054</td>\n",
       "      <td>IT</td>\n",
       "      <td>26</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>KIETH</td>\n",
       "      <td>ALCOMBRIGHT</td>\n",
       "      <td>M</td>\n",
       "      <td>10-20-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23</td>\n",
       "      <td>40045</td>\n",
       "      <td>Management</td>\n",
       "      <td>25</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2184</th>\n",
       "      <td>JERI</td>\n",
       "      <td>ANNING</td>\n",
       "      <td>F</td>\n",
       "      <td>02-10-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24</td>\n",
       "      <td>40043</td>\n",
       "      <td>Management</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>HEIDI</td>\n",
       "      <td>AMAZAN</td>\n",
       "      <td>F</td>\n",
       "      <td>2-15-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21</td>\n",
       "      <td>40041</td>\n",
       "      <td>Management</td>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1431</th>\n",
       "      <td>NATASHA</td>\n",
       "      <td>AMEZCUA</td>\n",
       "      <td>F</td>\n",
       "      <td>7-18-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21</td>\n",
       "      <td>40041</td>\n",
       "      <td>IT</td>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1688</th>\n",
       "      <td>TODD</td>\n",
       "      <td>ABDULAZIZ</td>\n",
       "      <td>M</td>\n",
       "      <td>1-31-2015</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22</td>\n",
       "      <td>40040</td>\n",
       "      <td>Finance</td>\n",
       "      <td>25</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2395</th>\n",
       "      <td>DOREEN</td>\n",
       "      <td>ANAGNOST</td>\n",
       "      <td>F</td>\n",
       "      <td>1-17-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22</td>\n",
       "      <td>40031</td>\n",
       "      <td>Management</td>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1191</th>\n",
       "      <td>VICKIE</td>\n",
       "      <td>AMBOISE</td>\n",
       "      <td>F</td>\n",
       "      <td>11-17-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22</td>\n",
       "      <td>40014</td>\n",
       "      <td>IT</td>\n",
       "      <td>16</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1547</th>\n",
       "      <td>MABLE</td>\n",
       "      <td>AMUNRUD</td>\n",
       "      <td>F</td>\n",
       "      <td>4-14-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22</td>\n",
       "      <td>40013</td>\n",
       "      <td>Operations</td>\n",
       "      <td>24</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1460</th>\n",
       "      <td>BURL</td>\n",
       "      <td>ALEXIS</td>\n",
       "      <td>M</td>\n",
       "      <td>9-18-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22</td>\n",
       "      <td>40001</td>\n",
       "      <td>Operations</td>\n",
       "      <td>22</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2639 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     FIRST NAME    LAST NAME SEX         DOJ CURRENT DATE     DESIGNATION  \\\n",
       "297       MABEL       AMBRIZ   F   1-21-2014   01-07-2016  Senior Manager   \n",
       "1418   GILBERTO       ADLING   M  06-09-2011   01-07-2016  Senior Manager   \n",
       "337      DANNIE       ALEMAN   M   5-17-2010   01-07-2016  Senior Manager   \n",
       "1932      SANDY       AMIGON   F  10-18-2014   01-07-2016  Senior Manager   \n",
       "1799     JORDAN     ANTONINI   F  11-12-2011   01-07-2016  Senior Manager   \n",
       "1221   MARYANNE        APGAR   F  10-24-2011   01-07-2016  Senior Manager   \n",
       "1556      WANDA    ALTENBURG   F   2-23-2013   01-07-2016  Senior Manager   \n",
       "833       EBONY        ANDRA   F  07-06-2010   01-07-2016  Senior Manager   \n",
       "2575    SABRINA    AMEZQUITA   F   7-23-2012   01-07-2016  Senior Manager   \n",
       "1772     KRISTY       AMODIO   F   2-25-2012   01-07-2016  Senior Manager   \n",
       "2595      JAMIE  ALUMMOOTTIL   F  09-11-2010   01-07-2016  Senior Manager   \n",
       "73     SAVANNAH        APREA   F  12-20-2011   01-07-2016  Senior Manager   \n",
       "1856    IGNACIO    ADOMAITIS   M  06-12-2012   01-07-2016  Senior Manager   \n",
       "1575       OMAR    ADAMOWSKI   M   1-28-2011   01-07-2016  Senior Manager   \n",
       "247    SHARLENE    ARBUTHNOT   F  09-05-2014   01-07-2016  Senior Manager   \n",
       "2163    ROXANNA        ARLEN   F   2-20-2010   01-07-2016  Senior Manager   \n",
       "1884      ELTON       AGREDA   M  10-21-2012   01-07-2016  Senior Manager   \n",
       "1164        AVA      ANTCZAK   F  07-07-2013   01-07-2016  Senior Manager   \n",
       "2091       RUBY       ALTERI   F   1-21-2011   01-07-2016  Senior Manager   \n",
       "114       ALLAN       ACEVES   M  04-09-2013   01-07-2016  Senior Manager   \n",
       "2523      ALLAN       ACEVES   M  04-09-2013   01-07-2016  Senior Manager   \n",
       "1178       MIKE        ABELA   M   4-19-2013   01-07-2016  Senior Manager   \n",
       "2584    KRISTAL       ARMOLD   F  01-05-2013   01-07-2016  Senior Manager   \n",
       "885     CANDIDA         ARIS   F  10-17-2012   01-07-2016  Senior Manager   \n",
       "203       CYRUS       ALANIS   M  12-06-2010   01-07-2016  Senior Manager   \n",
       "2634  KATHERINE       ALSDON   F   6-28-2011   01-07-2016  Senior Manager   \n",
       "687   ALEJANDRO       ACOSTO   M   1-28-2015   01-07-2016  Senior Manager   \n",
       "1400     RODNEY       ABELLA   M  09-01-2012   01-07-2016  Senior Manager   \n",
       "618       PERRY      ACKLAND   M  10-07-2014   01-07-2016  Senior Manager   \n",
       "1702      TIARA   ARMINTROUT   F   1-17-2012   01-07-2016  Senior Manager   \n",
       "...         ...          ...  ..         ...          ...             ...   \n",
       "591        VERN          AID   M   2-26-2014   01-07-2016         Analyst   \n",
       "1388       TERA     ARGUMEDO   F  10-14-2014   01-07-2016         Analyst   \n",
       "2157  MARGARITA      AMESCUA   F  02-05-2014   01-07-2016         Analyst   \n",
       "2125    LAVERNE     ALAMILLA   M  06-11-2013   01-07-2016         Analyst   \n",
       "875    BERNIECE      ARMIJOS   F  10-23-2014   01-07-2016         Analyst   \n",
       "869     ERNESTO       ADAMIK   M  03-08-2013   01-07-2016         Analyst   \n",
       "463        FRAN       APOLLO   F  11-04-2013   01-07-2016         Analyst   \n",
       "716      DEWITT        ALDEN   M   1-14-2014   01-07-2016         Analyst   \n",
       "1831    MELANIE       ALVORD   F  01-05-2013   01-07-2016         Analyst   \n",
       "2235    MELANIE       ALVORD   F  01-05-2013   01-07-2016         Analyst   \n",
       "647       MYRNA    ANDREADIS   F   1-16-2013   01-07-2016         Analyst   \n",
       "56      NORBERT        AHALT   M   3-27-2014   01-07-2016         Analyst   \n",
       "2180     ARNOLD       ACCALA   M   9-29-2014   01-07-2016         Analyst   \n",
       "2568      ENOCH       ALFERA   M   6-13-2013   01-07-2016         Analyst   \n",
       "2172      NOBLE     ALFANDRE   M  11-24-2013   01-07-2016         Analyst   \n",
       "2511    SOLEDAD        ARGUE   F   8-22-2013   01-07-2016         Analyst   \n",
       "499      JAYSON      AINSLIE   M   5-25-2014   01-07-2016         Analyst   \n",
       "2571     DAMIAN      AGRESTE   M  11-02-2013   01-07-2016         Analyst   \n",
       "112        STAN      AGRESTO   M  05-08-2014   01-07-2016         Analyst   \n",
       "7       JACQUES        AKMAL   M  12-05-2013   01-07-2016         Analyst   \n",
       "893     ANTOINE  AGOSTINELLI   M   1-25-2014   01-07-2016         Analyst   \n",
       "254       KIETH  ALCOMBRIGHT   M  10-20-2013   01-07-2016         Analyst   \n",
       "2184       JERI       ANNING   F  02-10-2014   01-07-2016         Analyst   \n",
       "91        HEIDI       AMAZAN   F   2-15-2014   01-07-2016         Analyst   \n",
       "1431    NATASHA      AMEZCUA   F   7-18-2014   01-07-2016         Analyst   \n",
       "1688       TODD    ABDULAZIZ   M   1-31-2015   01-07-2016         Analyst   \n",
       "2395     DOREEN     ANAGNOST   F   1-17-2013   01-07-2016         Analyst   \n",
       "1191     VICKIE      AMBOISE   F  11-17-2013   01-07-2016         Analyst   \n",
       "1547      MABLE      AMUNRUD   F   4-14-2014   01-07-2016         Analyst   \n",
       "1460       BURL       ALEXIS   M   9-18-2014   01-07-2016         Analyst   \n",
       "\n",
       "      AGE  SALARY        UNIT  LEAVES USED  LEAVES REMAINING  RATINGS  \\\n",
       "297    38  199577   Marketing           15                15        5   \n",
       "1418   37  199060          IT           28                 2        4   \n",
       "337    36  198814  Operations           22                 8        5   \n",
       "1932   36  197900   Marketing           29                 1        4   \n",
       "1799   35  197526          IT           27                 3        3   \n",
       "1221   39  197246  Management           22                 8        5   \n",
       "1556   35  196857          IT           20                10        2   \n",
       "833    38  196757          IT           21                 9        4   \n",
       "2575   36  195985     Finance           26                 4        4   \n",
       "1772   36  195984  Management           17                13        4   \n",
       "2595   38  194701  Management           26                 4        5   \n",
       "73     38  193621  Operations           19                11        4   \n",
       "1856   39  193319     Finance           20                10        5   \n",
       "1575   35  192623   Marketing           17                13        3   \n",
       "247    39  191793          IT           20                10        3   \n",
       "2163   38  190850   Marketing           25                 5        2   \n",
       "1884   39  190626     Finance           30                 0        5   \n",
       "1164   36  190618  Operations           26                 4        5   \n",
       "2091   37  190414  Management           26                 4        4   \n",
       "114    38  189435   Marketing           19                11        4   \n",
       "2523   38  189435   Marketing           19                11        4   \n",
       "1178   37  189307     Finance           18                12        3   \n",
       "2584   38  187837         Web           19                11        2   \n",
       "885    39  187426          IT           21                 9        5   \n",
       "203    36  186356     Finance           20                10        3   \n",
       "2634   36  185977  Management           15                15        5   \n",
       "687    35  185221  Operations           24                 6        5   \n",
       "1400   35  185205  Management           17                13        3   \n",
       "618    37  184143          IT           19                11        4   \n",
       "1702   35  182134         Web           20                10        5   \n",
       "...   ...     ...         ...          ...               ...      ...   \n",
       "591    23   40183          IT           19                11        3   \n",
       "1388   24   40180  Management           23                 7        3   \n",
       "2157   25   40161  Operations           17                13        4   \n",
       "2125   25   40149     Finance           16                14        2   \n",
       "875    21   40142         Web           26                 4        4   \n",
       "869    25   40140   Marketing           30                 0        4   \n",
       "463    23   40134     Finance           26                 4        4   \n",
       "716    25   40113         Web           25                 5        4   \n",
       "1831   25   40113  Management           15                15        4   \n",
       "2235   25   40113  Management           15                15        4   \n",
       "647    25   40105   Marketing           27                 3        3   \n",
       "56     21   40095  Management           19                11        3   \n",
       "2180   21   40095     Finance           17                13        2   \n",
       "2568   23   40086   Marketing           25                 5        4   \n",
       "2172   23   40085     Finance           24                 6        4   \n",
       "2511   25   40073          IT           15                15        5   \n",
       "499    21   40065         Web           23                 7        4   \n",
       "2571   24   40065          IT           24                 6        2   \n",
       "112    25   40060  Management           20                10        2   \n",
       "7      25   40058   Marketing           29                 1        2   \n",
       "893    22   40054          IT           26                 4        3   \n",
       "254    23   40045  Management           25                 5        2   \n",
       "2184   24   40043  Management           21                 9        4   \n",
       "91     21   40041  Management           18                12        4   \n",
       "1431   21   40041          IT           19                11        3   \n",
       "1688   22   40040     Finance           25                 5        4   \n",
       "2395   22   40031  Management           18                12        2   \n",
       "1191   22   40014          IT           16                14        3   \n",
       "1547   22   40013  Operations           24                 6        3   \n",
       "1460   22   40001  Operations           22                 8        2   \n",
       "\n",
       "      PAST EXP  \n",
       "297         11  \n",
       "1418        10  \n",
       "337          6  \n",
       "1932        14  \n",
       "1799         6  \n",
       "1221        10  \n",
       "1556        10  \n",
       "833          7  \n",
       "2575        10  \n",
       "1772        10  \n",
       "2595         8  \n",
       "73           9  \n",
       "1856        10  \n",
       "1575         6  \n",
       "247         17  \n",
       "2163        11  \n",
       "1884        13  \n",
       "1164        10  \n",
       "2091         9  \n",
       "114         10  \n",
       "2523        10  \n",
       "1178        12  \n",
       "2584        11  \n",
       "885         13  \n",
       "203          8  \n",
       "2634        10  \n",
       "687         11  \n",
       "1400         8  \n",
       "618         12  \n",
       "1702         9  \n",
       "...        ...  \n",
       "591          0  \n",
       "1388         2  \n",
       "2157         2  \n",
       "2125         1  \n",
       "875          0  \n",
       "869          1  \n",
       "463          0  \n",
       "716          2  \n",
       "1831         1  \n",
       "2235         1  \n",
       "647          1  \n",
       "56           0  \n",
       "2180         0  \n",
       "2568         0  \n",
       "2172         0  \n",
       "2511         2  \n",
       "499          0  \n",
       "2571         1  \n",
       "112          2  \n",
       "7            2  \n",
       "893          0  \n",
       "254          0  \n",
       "2184         1  \n",
       "91           0  \n",
       "1431         0  \n",
       "1688         0  \n",
       "2395         0  \n",
       "1191         0  \n",
       "1547         0  \n",
       "1460         0  \n",
       "\n",
       "[2639 rows x 13 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Sorting : Using the HR Data, \n",
    "\n",
    "# --Q1: Sort the Data based on Salary\n",
    "\n",
    "# Ascending\n",
    "hr.sort_values([\"SALARY\"])\n",
    "#______________________________\n",
    "# Descending \n",
    "hr.sort_values([\"SALARY\"],ascending= False)\n",
    "\n",
    "# --Q2: List all customers in ascending order of CATEGORY \n",
    "          # and descending order by SALES.\n",
    "    \n",
    "    \n",
    "hr.sort_values([\"DESIGNATION\", \"SALARY\"], ascending = False)\n",
    "# hr.sort_values([\"DESIGNATION\", \"SALARY\"], ascending = [False]) -- This is not working fine"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Grouping \n",
    "\n",
    "Rolling up the data based on one or more then  one categorical variable and then agregating \t\t\t\t\t\t\t\n",
    "the corresponding numeric( continous variable)…\t\t\t\t\t\t\t\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "hr.groupby\n",
    "\n",
    "# get the total salary for each unit\n",
    "hr.groupby('UNIT').SALARY.sum()\n",
    "\n",
    "# get total and average Sales for each UNIT\n",
    "hr.groupby('UNIT').SALARY.agg(['sum', 'mean']).reset_index()\n",
    "\n",
    "# get total and average Sales for each UNIT - Change column names\n",
    "hr.groupby('UNIT').SALARY.agg({'Total of SALARY': 'sum', 'Average of SALARY': 'mean'}).reset_index()\n",
    "\n",
    "#order['Sales', 'Profit'].sum()\n",
    "\n",
    "# Find the Total sum of SALES and PRofit of Each SEgment\n",
    "order.groupby('SEGMENT')['SALES', 'PROFIT'].sum().reset_index()\n",
    "\n",
    "\n",
    "# get the total and average sales and operating cost for each Location\n",
    "stores.groupby('Location')['TotalSales', 'OperatingCost'].agg(['sum', 'mean']).reset_index()\n",
    "\n",
    "# get the total sales and average operating cost for each Location\n",
    "stores.groupby('Location')['TotalSales', 'OperatingCost'].agg({'TotalSales': 'sum', 'OperatingCost': 'mean'}).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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 tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>UNIT</th>\n",
       "      <th colspan=\"2\" halign=\"left\">SALARY</th>\n",
       "      <th colspan=\"2\" halign=\"left\">AGE</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>sum</th>\n",
       "      <th>mean</th>\n",
       "      <th>sum</th>\n",
       "      <th>mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Finance</td>\n",
       "      <td>26135199</td>\n",
       "      <td>58599.100897</td>\n",
       "      <td>11106</td>\n",
       "      <td>24.901345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>IT</td>\n",
       "      <td>27198128</td>\n",
       "      <td>58998.108460</td>\n",
       "      <td>11407</td>\n",
       "      <td>24.744035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Management</td>\n",
       "      <td>25154450</td>\n",
       "      <td>59186.941176</td>\n",
       "      <td>10601</td>\n",
       "      <td>24.943529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Marketing</td>\n",
       "      <td>25981304</td>\n",
       "      <td>59318.045662</td>\n",
       "      <td>10887</td>\n",
       "      <td>24.856164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Operations</td>\n",
       "      <td>24299332</td>\n",
       "      <td>55477.926941</td>\n",
       "      <td>10706</td>\n",
       "      <td>24.442922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Web</td>\n",
       "      <td>24654281</td>\n",
       "      <td>57202.508121</td>\n",
       "      <td>10632</td>\n",
       "      <td>24.668213</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         UNIT    SALARY                  AGE           \n",
       "                    sum          mean    sum       mean\n",
       "0     Finance  26135199  58599.100897  11106  24.901345\n",
       "1          IT  27198128  58998.108460  11407  24.744035\n",
       "2  Management  25154450  59186.941176  10601  24.943529\n",
       "3   Marketing  25981304  59318.045662  10887  24.856164\n",
       "4  Operations  24299332  55477.926941  10706  24.442922\n",
       "5         Web  24654281  57202.508121  10632  24.668213"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get the total and average sales and operating cost for each Location\n",
    "hr.groupby('UNIT')['SALARY', 'AGE'].agg(['sum', 'mean']).reset_index()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>UNIT</th>\n",
       "      <th>SALARY</th>\n",
       "      <th>AGE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Finance</td>\n",
       "      <td>26135199</td>\n",
       "      <td>24.901345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>IT</td>\n",
       "      <td>27198128</td>\n",
       "      <td>24.744035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Management</td>\n",
       "      <td>25154450</td>\n",
       "      <td>24.943529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Marketing</td>\n",
       "      <td>25981304</td>\n",
       "      <td>24.856164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Operations</td>\n",
       "      <td>24299332</td>\n",
       "      <td>24.442922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Web</td>\n",
       "      <td>24654281</td>\n",
       "      <td>24.668213</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         UNIT    SALARY        AGE\n",
       "0     Finance  26135199  24.901345\n",
       "1          IT  27198128  24.744035\n",
       "2  Management  25154450  24.943529\n",
       "3   Marketing  25981304  24.856164\n",
       "4  Operations  24299332  24.442922\n",
       "5         Web  24654281  24.668213"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get the total of the salary and average pf tjhe age for each UNIT\n",
    "hr.groupby('UNIT')['SALARY', 'AGE'].agg({'SALARY':'sum', 'AGE':'mean'}).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "UNIT\n",
       "Finance       26135199\n",
       "IT            27198128\n",
       "Management    25154450\n",
       "Marketing     25981304\n",
       "Operations    24299332\n",
       "Web           24654281\n",
       "Name: SALARY, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "# get the total salary for each unit\n",
    "hr.groupby('UNIT').SALARY.sum()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "order = pd.read_excel(\"C:\\\\Users\\\\aagarwal\\\\Desktop\\\\DataSetsR\\\\Sample - Superstore.xls\", sheet_name=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['FIRST NAME', 'LAST NAME', 'SEX', 'DOJ', 'CURRENT DATE', 'DESIGNATION',\n",
       "       'AGE', 'SALARY', 'UNIT', 'LEAVES USED', 'LEAVES REMAINING', 'RATINGS',\n",
       "       'PAST EXP'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Task to be today:\n",
    "\n",
    "# Using Sample Store dataset, \n",
    "\n",
    "# T1: Sort the based on descending order of Sales or each Segment in Ascending\n",
    "\n",
    "# T2: Find the Total SALES and Average Profit for Each Country and each Segment\n",
    "\n",
    "#_________________________________________________________________________"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Merging \n",
    "\n",
    "Adding one or more then one column from one table \n",
    "to another table based on common variable's mathced value\n",
    "JOIN in SQL | Vlook up in Excel\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Merging - Joins  Adding one or more then one columns from one table to another table using a common variable.\n",
    "\n",
    "Left Join\n",
    "Right Join\n",
    "Inner Join \n",
    "Full Join\n",
    "Self Join\n",
    "Anti Join\n",
    "\n",
    "-------------------------------\n",
    "\n",
    "Make sure you understand the relationship between the data ?\n",
    "\n",
    "One to one \n",
    "One to many \n",
    "many to one\n",
    "Many to many\n",
    "--------------------------------\n",
    "\n",
    "Join[SQL/ R / Python] / Merge[SAS]\n",
    "Excel[vlookup]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\aagarwal\\\\Desktop\\\\DataSetsR'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "\n",
    "os.chdir(\"C:\\\\Users\\\\aagarwal\\\\Desktop\\\\DataSetsR\") #setwd() function of R\n",
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Working Directory: is actually a default folder you have where you can read the data FROM*\n",
    "                                                                # and can write the data TO*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Merging the data\n",
    "#_______________________________________________________________________________________\n",
    "\n",
    "# Importing the two files LeftR and rightR\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "LT = pd.read_csv(\"LeftR.csv\")\n",
    "RT = pd.read_csv(\"RightR.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.merge?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>ID</th>\n",
       "      <th>Age</th>\n",
       "      <th>C.ID</th>\n",
       "      <th>Addrss</th>\n",
       "      <th>_merge</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>C1</td>\n",
       "      <td>A1</td>\n",
       "      <td>C1</td>\n",
       "      <td>Noida</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>C2</td>\n",
       "      <td>A2</td>\n",
       "      <td>C2</td>\n",
       "      <td>d1</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>C2</td>\n",
       "      <td>A2</td>\n",
       "      <td>C2</td>\n",
       "      <td>D11</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>C2</td>\n",
       "      <td>A2</td>\n",
       "      <td>C2</td>\n",
       "      <td>D111</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>C2</td>\n",
       "      <td>A22</td>\n",
       "      <td>C2</td>\n",
       "      <td>d1</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>C2</td>\n",
       "      <td>A22</td>\n",
       "      <td>C2</td>\n",
       "      <td>D11</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>C2</td>\n",
       "      <td>A22</td>\n",
       "      <td>C2</td>\n",
       "      <td>D111</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>C3</td>\n",
       "      <td>A3</td>\n",
       "      <td>C3</td>\n",
       "      <td>d2</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>C4</td>\n",
       "      <td>A4</td>\n",
       "      <td>C4</td>\n",
       "      <td>Gurgaon</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>C5</td>\n",
       "      <td>A5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ID  Age C.ID   Addrss     _merge\n",
       "0  C1   A1   C1    Noida       both\n",
       "1  C2   A2   C2       d1       both\n",
       "2  C2   A2   C2      D11       both\n",
       "3  C2   A2   C2     D111       both\n",
       "4  C2  A22   C2       d1       both\n",
       "5  C2  A22   C2      D11       both\n",
       "6  C2  A22   C2     D111       both\n",
       "7  C3   A3   C3       d2       both\n",
       "8  C4   A4   C4  Gurgaon       both\n",
       "9  C5   A5  NaN      NaN  left_only"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.merge(left = LT,\n",
    "        right = RT,\n",
    "        left_on=[\"ID\"],\n",
    "        right_on=['C.ID'],\n",
    "         how = \"left\",\n",
    "         indicator=True\n",
    "        )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Appending "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>ID</th>\n",
       "      <th>Var2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>C1</td>\n",
       "      <td>Noida</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>C2</td>\n",
       "      <td>d1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>C3</td>\n",
       "      <td>d2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>C4</td>\n",
       "      <td>Gurgaon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>C6</td>\n",
       "      <td>Vizag</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ID     Var2\n",
       "0  C1    Noida\n",
       "1  C2       d1\n",
       "2  C3       d2\n",
       "3  C4  Gurgaon\n",
       "4  C6    Vizag"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# APENDING THE DATA\n",
    "#______________________________\n",
    "\n",
    "#ADDING THE ROWS OF ONE TABLE BELOW THE ANOTHER TABLE:\n",
    "# Appending the data\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "DF1 = pd.read_csv(\"DF1.csv\")\n",
    "DF2 = pd.read_csv(\"DF2.csv\")\n",
    "\n",
    "DF2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\frame.py:6201: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n",
      "of pandas will change to not sort by default.\n",
      "\n",
      "To accept the future behavior, pass 'sort=True'.\n",
      "\n",
      "To retain the current behavior and silence the warning, pass sort=False\n",
      "\n",
      "  sort=sort)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Var1</th>\n",
       "      <th>Var2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>C1</td>\n",
       "      <td>A1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>C2</td>\n",
       "      <td>A2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>C3</td>\n",
       "      <td>A3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>C4</td>\n",
       "      <td>A4</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>C5</td>\n",
       "      <td>A5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>C1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Noida</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>C2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>d1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>C3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>d2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>C4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gurgaon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>C6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Vizag</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ID Var1     Var2\n",
       "0  C1   A1      NaN\n",
       "1  C2   A2      NaN\n",
       "2  C3   A3      NaN\n",
       "3  C4   A4      NaN\n",
       "4  C5   A5      NaN\n",
       "5  C1  NaN    Noida\n",
       "6  C2  NaN       d1\n",
       "7  C3  NaN       d2\n",
       "8  C4  NaN  Gurgaon\n",
       "9  C6  NaN    Vizag"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Method 1- using append function:\n",
    "\n",
    "result = DF1.append(DF2, ignore_index = True)\n",
    "\n",
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:10: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n",
      "of pandas will change to not sort by default.\n",
      "\n",
      "To accept the future behavior, pass 'sort=True'.\n",
      "\n",
      "To retain the current behavior and silence the warning, pass sort=False\n",
      "\n",
      "  # Remove the CWD from sys.path while we load stuff.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Var1</th>\n",
       "      <th>Var2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>C1</td>\n",
       "      <td>A1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>C2</td>\n",
       "      <td>A2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>C3</td>\n",
       "      <td>A3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>C4</td>\n",
       "      <td>A4</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>C5</td>\n",
       "      <td>A5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>C1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Noida</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>C2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>d1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>C3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>d2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>C4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gurgaon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>C6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Vizag</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ID Var1     Var2\n",
       "0  C1   A1      NaN\n",
       "1  C2   A2      NaN\n",
       "2  C3   A3      NaN\n",
       "3  C4   A4      NaN\n",
       "4  C5   A5      NaN\n",
       "0  C1  NaN    Noida\n",
       "1  C2  NaN       d1\n",
       "2  C3  NaN       d2\n",
       "3  C4  NaN  Gurgaon\n",
       "4  C6  NaN    Vizag"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Method 2 - using Concate function [this is extended version for appending the data]\n",
    "# with this you can either append the data row wise or column wise\n",
    "#--------------------------------------\n",
    "\n",
    "#Appending the data columns wise should not be confused with merging concept\n",
    "\n",
    "#______________________________________________________________________________________\n",
    "df = [DF1, DF2]\n",
    "\n",
    "result = pd.concat(df, axis=0) \n",
    "# reset_index could be used for resting the index from 0 to n-1 for further perusal...\n",
    "\n",
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "388112"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Binning | Converting the continous Variables into Categories:\n",
    "# ________________________________________________________________________\n",
    "\n",
    "#cut() qcut()* np.where()\n",
    "\n",
    "#Task1:assi\n",
    "\n",
    "hr2.SALARY.max()\n",
    "\n",
    "# Break the Salary into 4 equal parts [ bins ] - cut()\n",
    "\n",
    "# numpy.where() - alrenate of if then else..\n",
    "\n",
    "# Break the salary into 5 parts like creating a new variable - SAlary_Status \n",
    "#                                       | 0- 10,0000 > Very Low Salary | \n",
    "#                                     10,0000 - 20,0000 > Low Salary | \n",
    "#                                    20,0000 - 30,0000 > Descent Salary |\n",
    "#                                    30,0000 > very high Salary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "hr2 = pd.read_csv(\"C:\\\\Users\\\\aagarwal\\\\Desktop\\\\DataSetsR\\\\Human Resource_employees2.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2639, 13)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Missing Values |is.na() | isnull() | dropna()\n",
    "\n",
    "\n",
    "\n",
    "hr2.head(20)\n",
    "\n",
    "hr2.shape\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2637, 13)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#hr2.RATINGS.isna()\n",
    "\n",
    "df = hr2.loc[-(hr2.RATINGS.isna()), :]\n",
    "\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>FIRST NAME</th>\n",
       "      <th>LAST NAME</th>\n",
       "      <th>SEX</th>\n",
       "      <th>DOJ</th>\n",
       "      <th>CURRENT DATE</th>\n",
       "      <th>DESIGNATION</th>\n",
       "      <th>AGE</th>\n",
       "      <th>SALARY</th>\n",
       "      <th>UNIT</th>\n",
       "      <th>LEAVES USED</th>\n",
       "      <th>LEAVES REMAINING</th>\n",
       "      <th>RATINGS</th>\n",
       "      <th>PAST EXP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TOMASA</td>\n",
       "      <td>ARMEN</td>\n",
       "      <td>F</td>\n",
       "      <td>5-18-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>44570</td>\n",
       "      <td>Finance</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>OLIVE</td>\n",
       "      <td>ANCY</td>\n",
       "      <td>F</td>\n",
       "      <td>7-28-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>40955</td>\n",
       "      <td>Finance</td>\n",
       "      <td>23.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CHERRY</td>\n",
       "      <td>AQUILAR</td>\n",
       "      <td>F</td>\n",
       "      <td>04-03-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>45550</td>\n",
       "      <td>IT</td>\n",
       "      <td>22.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>VICTORIA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>F</td>\n",
       "      <td>2-19-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>48736</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>20.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ELLIOT</td>\n",
       "      <td>AGULAR</td>\n",
       "      <td>M</td>\n",
       "      <td>09-02-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>40339</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>19.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>JACQUES</td>\n",
       "      <td>AKMAL</td>\n",
       "      <td>M</td>\n",
       "      <td>12-05-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40058</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>KATHY</td>\n",
       "      <td>ALSOP</td>\n",
       "      <td>F</td>\n",
       "      <td>6-29-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Analyst</td>\n",
       "      <td>28.0</td>\n",
       "      <td>63478</td>\n",
       "      <td>Operations</td>\n",
       "      <td>20.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>LILIAN</td>\n",
       "      <td>APELA</td>\n",
       "      <td>F</td>\n",
       "      <td>11-11-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>43110</td>\n",
       "      <td>Finance</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>BELLE</td>\n",
       "      <td>ARDS</td>\n",
       "      <td>F</td>\n",
       "      <td>03-10-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>41590</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>22.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>VIRGIL</td>\n",
       "      <td>ACKIES</td>\n",
       "      <td>M</td>\n",
       "      <td>02-01-2010</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>36.0</td>\n",
       "      <td>160613</td>\n",
       "      <td>Finance</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>WELDON</td>\n",
       "      <td>AIVAO</td>\n",
       "      <td>M</td>\n",
       "      <td>08-01-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>44828</td>\n",
       "      <td>Finance</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>BOYD</td>\n",
       "      <td>AFTON</td>\n",
       "      <td>M</td>\n",
       "      <td>3-22-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>45830</td>\n",
       "      <td>Web</td>\n",
       "      <td>23.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>BART</td>\n",
       "      <td>AGUILLERA</td>\n",
       "      <td>M</td>\n",
       "      <td>7-27-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>43457</td>\n",
       "      <td>Management</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>CORINNE</td>\n",
       "      <td>ANDRZEJCZYK</td>\n",
       "      <td>F</td>\n",
       "      <td>8-13-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>44812</td>\n",
       "      <td>IT</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>ALONZO</td>\n",
       "      <td>ADSIDE</td>\n",
       "      <td>M</td>\n",
       "      <td>9-16-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>47636</td>\n",
       "      <td>Finance</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>ROYCE</td>\n",
       "      <td>AGOSTO</td>\n",
       "      <td>M</td>\n",
       "      <td>06-07-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>48651</td>\n",
       "      <td>Web</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>BURTON</td>\n",
       "      <td>AGUILER</td>\n",
       "      <td>M</td>\n",
       "      <td>02-03-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23.0</td>\n",
       "      <td>40411</td>\n",
       "      <td>Management</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>PHILLIP</td>\n",
       "      <td>ABDULA</td>\n",
       "      <td>M</td>\n",
       "      <td>07-03-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>44665</td>\n",
       "      <td>Web</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>ORVILLE</td>\n",
       "      <td>ADNEY</td>\n",
       "      <td>M</td>\n",
       "      <td>6-23-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>46941</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>23.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>KORY</td>\n",
       "      <td>ALEGRIA</td>\n",
       "      <td>M</td>\n",
       "      <td>10-11-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>47734</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>28.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>NETTIE</td>\n",
       "      <td>ANDRADA</td>\n",
       "      <td>F</td>\n",
       "      <td>07-11-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23.0</td>\n",
       "      <td>40541</td>\n",
       "      <td>Operations</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>WENDI</td>\n",
       "      <td>APPERT</td>\n",
       "      <td>F</td>\n",
       "      <td>12-02-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>43920</td>\n",
       "      <td>Web</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>BRENT</td>\n",
       "      <td>ABRIL</td>\n",
       "      <td>M</td>\n",
       "      <td>02-11-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>45832</td>\n",
       "      <td>Management</td>\n",
       "      <td>28.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>HARRIETTE</td>\n",
       "      <td>ARMSTRONG</td>\n",
       "      <td>F</td>\n",
       "      <td>1-22-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23.0</td>\n",
       "      <td>48102</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>GARLAND</td>\n",
       "      <td>AGLER</td>\n",
       "      <td>M</td>\n",
       "      <td>09-07-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>48662</td>\n",
       "      <td>Management</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>OSWALDO</td>\n",
       "      <td>ALLENBAUGH</td>\n",
       "      <td>M</td>\n",
       "      <td>2-15-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>49685</td>\n",
       "      <td>Operations</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>SEYMOUR</td>\n",
       "      <td>ALBEN</td>\n",
       "      <td>M</td>\n",
       "      <td>12-21-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>57488</td>\n",
       "      <td>Operations</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ROXANNE</td>\n",
       "      <td>AMRINE</td>\n",
       "      <td>F</td>\n",
       "      <td>3-13-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>45410</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>CLAUD</td>\n",
       "      <td>ALLATEEF</td>\n",
       "      <td>M</td>\n",
       "      <td>05-07-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>43030</td>\n",
       "      <td>Management</td>\n",
       "      <td>22.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>MARIANNA</td>\n",
       "      <td>ARGENTIERI</td>\n",
       "      <td>F</td>\n",
       "      <td>11-07-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>42388</td>\n",
       "      <td>Management</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2609</th>\n",
       "      <td>ANTONIO</td>\n",
       "      <td>ABEDI</td>\n",
       "      <td>M</td>\n",
       "      <td>6-18-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>43228</td>\n",
       "      <td>Management</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2610</th>\n",
       "      <td>LESSIE</td>\n",
       "      <td>APPLONIE</td>\n",
       "      <td>F</td>\n",
       "      <td>06-09-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>52370</td>\n",
       "      <td>Operations</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2611</th>\n",
       "      <td>GERRY</td>\n",
       "      <td>AHSAN</td>\n",
       "      <td>M</td>\n",
       "      <td>7-14-2011</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Associate</td>\n",
       "      <td>32.0</td>\n",
       "      <td>94345</td>\n",
       "      <td>Management</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2612</th>\n",
       "      <td>MAMIE</td>\n",
       "      <td>AMODT</td>\n",
       "      <td>F</td>\n",
       "      <td>5-29-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>46432</td>\n",
       "      <td>Operations</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2613</th>\n",
       "      <td>DINAH</td>\n",
       "      <td>ARHELGER</td>\n",
       "      <td>F</td>\n",
       "      <td>09-01-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>44599</td>\n",
       "      <td>IT</td>\n",
       "      <td>22.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2614</th>\n",
       "      <td>KELLIE</td>\n",
       "      <td>ANDERBERG</td>\n",
       "      <td>F</td>\n",
       "      <td>2-20-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>42418</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>20.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2615</th>\n",
       "      <td>LINA</td>\n",
       "      <td>APE</td>\n",
       "      <td>F</td>\n",
       "      <td>03-07-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>41498</td>\n",
       "      <td>Web</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2616</th>\n",
       "      <td>WINIFRED</td>\n",
       "      <td>ANDRADO</td>\n",
       "      <td>F</td>\n",
       "      <td>4-27-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>41515</td>\n",
       "      <td>Finance</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2617</th>\n",
       "      <td>JEANNA</td>\n",
       "      <td>ARENIVAS</td>\n",
       "      <td>F</td>\n",
       "      <td>9-28-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>48541</td>\n",
       "      <td>Operations</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2618</th>\n",
       "      <td>HATTIE</td>\n",
       "      <td>AMICO</td>\n",
       "      <td>F</td>\n",
       "      <td>08-12-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Analyst</td>\n",
       "      <td>26.0</td>\n",
       "      <td>66661</td>\n",
       "      <td>Finance</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2619</th>\n",
       "      <td>KENDRA</td>\n",
       "      <td>AMSTRONG</td>\n",
       "      <td>F</td>\n",
       "      <td>5-26-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>44676</td>\n",
       "      <td>Operations</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2620</th>\n",
       "      <td>MOLLY</td>\n",
       "      <td>AMIDEI</td>\n",
       "      <td>F</td>\n",
       "      <td>11-28-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>41378</td>\n",
       "      <td>Finance</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2621</th>\n",
       "      <td>PATRICIA</td>\n",
       "      <td>ALMETER</td>\n",
       "      <td>F</td>\n",
       "      <td>03-01-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>42369</td>\n",
       "      <td>IT</td>\n",
       "      <td>18.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2622</th>\n",
       "      <td>AUDRA</td>\n",
       "      <td>ANNON</td>\n",
       "      <td>F</td>\n",
       "      <td>02-06-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>42662</td>\n",
       "      <td>Finance</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2623</th>\n",
       "      <td>JC</td>\n",
       "      <td>ALKEMA</td>\n",
       "      <td>M</td>\n",
       "      <td>4-15-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>41760</td>\n",
       "      <td>Finance</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2624</th>\n",
       "      <td>JOSPEH</td>\n",
       "      <td>ALLIS</td>\n",
       "      <td>M</td>\n",
       "      <td>2-26-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>45364</td>\n",
       "      <td>Web</td>\n",
       "      <td>20.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2625</th>\n",
       "      <td>FRANCES</td>\n",
       "      <td>ALQUESTA</td>\n",
       "      <td>F</td>\n",
       "      <td>5-17-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>49892</td>\n",
       "      <td>Finance</td>\n",
       "      <td>28.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2626</th>\n",
       "      <td>LEE</td>\n",
       "      <td>ABERLE</td>\n",
       "      <td>M</td>\n",
       "      <td>12-15-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>49617</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>16.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2627</th>\n",
       "      <td>ROBYN</td>\n",
       "      <td>AMSDELL</td>\n",
       "      <td>F</td>\n",
       "      <td>10-01-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23.0</td>\n",
       "      <td>42877</td>\n",
       "      <td>Operations</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2628</th>\n",
       "      <td>DREW</td>\n",
       "      <td>ADOLF</td>\n",
       "      <td>M</td>\n",
       "      <td>12-01-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>48866</td>\n",
       "      <td>Finance</td>\n",
       "      <td>20.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2629</th>\n",
       "      <td>RICKIE</td>\n",
       "      <td>AICHELE</td>\n",
       "      <td>M</td>\n",
       "      <td>9-28-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>47849</td>\n",
       "      <td>IT</td>\n",
       "      <td>22.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2630</th>\n",
       "      <td>ELVIA</td>\n",
       "      <td>APPELGREN</td>\n",
       "      <td>F</td>\n",
       "      <td>5-18-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>44424</td>\n",
       "      <td>IT</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2631</th>\n",
       "      <td>BILLY</td>\n",
       "      <td>ABDELAZIZ</td>\n",
       "      <td>M</td>\n",
       "      <td>06-06-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>43884</td>\n",
       "      <td>Finance</td>\n",
       "      <td>23.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2632</th>\n",
       "      <td>MARLENE</td>\n",
       "      <td>AMAYA</td>\n",
       "      <td>F</td>\n",
       "      <td>9-15-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>43835</td>\n",
       "      <td>Management</td>\n",
       "      <td>26.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2633</th>\n",
       "      <td>ALENE</td>\n",
       "      <td>ARILDSEN</td>\n",
       "      <td>F</td>\n",
       "      <td>8-20-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>40277</td>\n",
       "      <td>Web</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2634</th>\n",
       "      <td>KATHERINE</td>\n",
       "      <td>ALSDON</td>\n",
       "      <td>F</td>\n",
       "      <td>6-28-2011</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>36.0</td>\n",
       "      <td>185977</td>\n",
       "      <td>Management</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2635</th>\n",
       "      <td>LOUISE</td>\n",
       "      <td>ALTARAS</td>\n",
       "      <td>F</td>\n",
       "      <td>1-14-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23.0</td>\n",
       "      <td>45758</td>\n",
       "      <td>IT</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2636</th>\n",
       "      <td>RENEE</td>\n",
       "      <td>ALVINO</td>\n",
       "      <td>F</td>\n",
       "      <td>1-23-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>47315</td>\n",
       "      <td>Web</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2637</th>\n",
       "      <td>TERI</td>\n",
       "      <td>ANASTASIO</td>\n",
       "      <td>F</td>\n",
       "      <td>3-17-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>45172</td>\n",
       "      <td>Web</td>\n",
       "      <td>23.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2638</th>\n",
       "      <td>GREGORY</td>\n",
       "      <td>ABARCA</td>\n",
       "      <td>M</td>\n",
       "      <td>9-18-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>49176</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2637 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     FIRST NAME    LAST NAME SEX         DOJ CURRENT DATE     DESIGNATION  \\\n",
       "0        TOMASA        ARMEN   F   5-18-2014   01-07-2016         Analyst   \n",
       "2         OLIVE         ANCY   F   7-28-2014   01-07-2016         Analyst   \n",
       "3        CHERRY      AQUILAR   F  04-03-2013   01-07-2016         Analyst   \n",
       "5      VICTORIA          NaN   F   2-19-2013   01-07-2016         Analyst   \n",
       "6        ELLIOT       AGULAR   M  09-02-2013   01-07-2016         Analyst   \n",
       "7       JACQUES        AKMAL   M  12-05-2013   01-07-2016         Analyst   \n",
       "8         KATHY        ALSOP   F   6-29-2014   01-07-2016  Senior Analyst   \n",
       "9        LILIAN        APELA   F  11-11-2014   01-07-2016         Analyst   \n",
       "10        BELLE         ARDS   F  03-10-2014   01-07-2016         Analyst   \n",
       "11       VIRGIL       ACKIES   M  02-01-2010   01-07-2016  Senior Manager   \n",
       "12       WELDON        AIVAO   M  08-01-2013   01-07-2016         Analyst   \n",
       "13         BOYD        AFTON   M   3-22-2013   01-07-2016         Analyst   \n",
       "14         BART    AGUILLERA   M   7-27-2013   01-07-2016         Analyst   \n",
       "15      CORINNE  ANDRZEJCZYK   F   8-13-2014   01-07-2016         Analyst   \n",
       "16       ALONZO       ADSIDE   M   9-16-2013   01-07-2016         Analyst   \n",
       "17        ROYCE       AGOSTO   M  06-07-2014   01-07-2016         Analyst   \n",
       "18       BURTON      AGUILER   M  02-03-2013   01-07-2016         Analyst   \n",
       "19      PHILLIP       ABDULA   M  07-03-2013   01-07-2016         Analyst   \n",
       "20      ORVILLE        ADNEY   M   6-23-2013   01-07-2016         Analyst   \n",
       "21         KORY      ALEGRIA   M  10-11-2013   01-07-2016         Analyst   \n",
       "22       NETTIE      ANDRADA   F  07-11-2014   01-07-2016         Analyst   \n",
       "23        WENDI       APPERT   F  12-02-2013   01-07-2016         Analyst   \n",
       "24        BRENT        ABRIL   M  02-11-2013   01-07-2016         Analyst   \n",
       "25    HARRIETTE    ARMSTRONG   F   1-22-2014   01-07-2016         Analyst   \n",
       "26      GARLAND        AGLER   M  09-07-2014   01-07-2016         Analyst   \n",
       "27      OSWALDO   ALLENBAUGH   M   2-15-2013   01-07-2016         Analyst   \n",
       "28      SEYMOUR        ALBEN   M  12-21-2014   01-07-2016  Senior Analyst   \n",
       "29      ROXANNE       AMRINE   F   3-13-2013   01-07-2016         Analyst   \n",
       "30        CLAUD     ALLATEEF   M  05-07-2013   01-07-2016         Analyst   \n",
       "31     MARIANNA   ARGENTIERI   F  11-07-2014   01-07-2016         Analyst   \n",
       "...         ...          ...  ..         ...          ...             ...   \n",
       "2609    ANTONIO        ABEDI   M   6-18-2014   01-07-2016         Analyst   \n",
       "2610     LESSIE     APPLONIE   F  06-09-2013   01-07-2016  Senior Analyst   \n",
       "2611      GERRY        AHSAN   M   7-14-2011   01-07-2016       Associate   \n",
       "2612      MAMIE        AMODT   F   5-29-2013   01-07-2016         Analyst   \n",
       "2613      DINAH     ARHELGER   F  09-01-2013   01-07-2016         Analyst   \n",
       "2614     KELLIE    ANDERBERG   F   2-20-2014   01-07-2016         Analyst   \n",
       "2615       LINA          APE   F  03-07-2014   01-07-2016         Analyst   \n",
       "2616   WINIFRED      ANDRADO   F   4-27-2013   01-07-2016         Analyst   \n",
       "2617     JEANNA     ARENIVAS   F   9-28-2013   01-07-2016         Analyst   \n",
       "2618     HATTIE        AMICO   F  08-12-2013   01-07-2016  Senior Analyst   \n",
       "2619     KENDRA     AMSTRONG   F   5-26-2013   01-07-2016         Analyst   \n",
       "2620      MOLLY       AMIDEI   F  11-28-2013   01-07-2016         Analyst   \n",
       "2621   PATRICIA      ALMETER   F  03-01-2014   01-07-2016         Analyst   \n",
       "2622      AUDRA        ANNON   F  02-06-2014   01-07-2016         Analyst   \n",
       "2623         JC       ALKEMA   M   4-15-2013   01-07-2016         Analyst   \n",
       "2624     JOSPEH        ALLIS   M   2-26-2014   01-07-2016         Analyst   \n",
       "2625    FRANCES     ALQUESTA   F   5-17-2013   01-07-2016         Analyst   \n",
       "2626        LEE       ABERLE   M  12-15-2013   01-07-2016         Analyst   \n",
       "2627      ROBYN      AMSDELL   F  10-01-2014   01-07-2016         Analyst   \n",
       "2628       DREW        ADOLF   M  12-01-2013   01-07-2016         Analyst   \n",
       "2629     RICKIE      AICHELE   M   9-28-2013   01-07-2016         Analyst   \n",
       "2630      ELVIA    APPELGREN   F   5-18-2013   01-07-2016         Analyst   \n",
       "2631      BILLY    ABDELAZIZ   M  06-06-2013   01-07-2016         Analyst   \n",
       "2632    MARLENE        AMAYA   F   9-15-2014   01-07-2016         Analyst   \n",
       "2633      ALENE     ARILDSEN   F   8-20-2014   01-07-2016         Analyst   \n",
       "2634  KATHERINE       ALSDON   F   6-28-2011   01-07-2016  Senior Manager   \n",
       "2635     LOUISE      ALTARAS   F   1-14-2014   01-07-2016         Analyst   \n",
       "2636      RENEE       ALVINO   F   1-23-2014   01-07-2016         Analyst   \n",
       "2637       TERI    ANASTASIO   F   3-17-2014   01-07-2016         Analyst   \n",
       "2638    GREGORY       ABARCA   M   9-18-2014   01-07-2016         Analyst   \n",
       "\n",
       "       AGE  SALARY        UNIT  LEAVES USED  LEAVES REMAINING  RATINGS  \\\n",
       "0     21.0   44570     Finance         24.0               6.0      2.0   \n",
       "2     21.0   40955     Finance         23.0               7.0      3.0   \n",
       "3     22.0   45550          IT         22.0               8.0      3.0   \n",
       "5     22.0   48736   Marketing         20.0              10.0      4.0   \n",
       "6     22.0   40339   Marketing         19.0              11.0      5.0   \n",
       "7      NaN   40058   Marketing         29.0               1.0      2.0   \n",
       "8     28.0   63478  Operations         20.0              10.0      3.0   \n",
       "9     22.0   43110     Finance         15.0              15.0      3.0   \n",
       "10    24.0   41590   Marketing         22.0               8.0      4.0   \n",
       "11    36.0  160613     Finance          NaN              11.0      2.0   \n",
       "12    24.0   44828     Finance         15.0              15.0      5.0   \n",
       "13    21.0   45830         Web         23.0               7.0      2.0   \n",
       "14    24.0   43457  Management         30.0               0.0      4.0   \n",
       "15    21.0   44812          IT         16.0               NaN      5.0   \n",
       "16    25.0   47636     Finance         27.0               3.0      3.0   \n",
       "17    24.0   48651         Web         27.0               3.0      5.0   \n",
       "18    23.0   40411  Management         21.0               9.0      3.0   \n",
       "19    24.0   44665         Web          NaN              12.0      5.0   \n",
       "20    25.0   46941   Marketing         23.0               7.0      3.0   \n",
       "21    22.0   47734   Marketing         28.0               2.0      5.0   \n",
       "22    23.0   40541  Operations         15.0              15.0      5.0   \n",
       "23    25.0   43920         Web         28.0               NaN      2.0   \n",
       "24    21.0   45832  Management         28.0               2.0      2.0   \n",
       "25    23.0   48102   Marketing         17.0              13.0      2.0   \n",
       "26    21.0   48662  Management         30.0               0.0      5.0   \n",
       "27    25.0   49685  Operations         15.0              15.0      2.0   \n",
       "28    25.0   57488  Operations         25.0               5.0      3.0   \n",
       "29    21.0   45410   Marketing         29.0               1.0      2.0   \n",
       "30    21.0   43030  Management         22.0               8.0      5.0   \n",
       "31    22.0   42388  Management         30.0               0.0      5.0   \n",
       "...    ...     ...         ...          ...               ...      ...   \n",
       "2609  22.0   43228  Management         25.0               5.0      4.0   \n",
       "2610  25.0   52370  Operations         24.0               6.0      5.0   \n",
       "2611  32.0   94345  Management         17.0              13.0      4.0   \n",
       "2612  21.0   46432  Operations         30.0               0.0      4.0   \n",
       "2613  24.0   44599          IT         22.0               8.0      2.0   \n",
       "2614  22.0   42418   Marketing         20.0              10.0      3.0   \n",
       "2615  21.0   41498         Web         21.0               9.0      5.0   \n",
       "2616  22.0   41515     Finance         25.0               5.0      5.0   \n",
       "2617  25.0   48541  Operations         24.0               6.0      2.0   \n",
       "2618  26.0   66661     Finance         30.0               0.0      5.0   \n",
       "2619  22.0   44676  Operations         15.0              15.0      3.0   \n",
       "2620  21.0   41378     Finance         21.0               9.0      5.0   \n",
       "2621  22.0   42369          IT         18.0              12.0      4.0   \n",
       "2622  22.0   42662     Finance         29.0               1.0      3.0   \n",
       "2623  22.0   41760     Finance         21.0               9.0      2.0   \n",
       "2624  22.0   45364         Web         20.0              10.0      2.0   \n",
       "2625  21.0   49892     Finance         28.0               2.0      4.0   \n",
       "2626  22.0   49617   Marketing         16.0              14.0      5.0   \n",
       "2627  23.0   42877  Operations         21.0               9.0      2.0   \n",
       "2628  21.0   48866     Finance         20.0              10.0      3.0   \n",
       "2629  25.0   47849          IT         22.0               8.0      2.0   \n",
       "2630  24.0   44424          IT         25.0               5.0      2.0   \n",
       "2631  25.0   43884     Finance         23.0               7.0      4.0   \n",
       "2632  22.0   43835  Management         26.0               4.0      4.0   \n",
       "2633  24.0   40277         Web         17.0              13.0      4.0   \n",
       "2634  36.0  185977  Management         15.0              15.0      5.0   \n",
       "2635  23.0   45758          IT         17.0              13.0      2.0   \n",
       "2636  21.0   47315         Web         29.0               1.0      5.0   \n",
       "2637  24.0   45172         Web         23.0               7.0      3.0   \n",
       "2638  24.0   49176   Marketing         17.0              13.0      2.0   \n",
       "\n",
       "      PAST EXP  \n",
       "0            0  \n",
       "2            0  \n",
       "3            0  \n",
       "5            0  \n",
       "6            0  \n",
       "7            2  \n",
       "8            1  \n",
       "9            0  \n",
       "10           1  \n",
       "11           9  \n",
       "12           1  \n",
       "13           0  \n",
       "14           1  \n",
       "15           0  \n",
       "16           2  \n",
       "17           1  \n",
       "18           0  \n",
       "19           0  \n",
       "20           1  \n",
       "21           0  \n",
       "22           1  \n",
       "23           2  \n",
       "24           0  \n",
       "25           0  \n",
       "26           0  \n",
       "27           1  \n",
       "28           0  \n",
       "29           0  \n",
       "30           0  \n",
       "31           0  \n",
       "...        ...  \n",
       "2609         0  \n",
       "2610         0  \n",
       "2611         5  \n",
       "2612         0  \n",
       "2613         1  \n",
       "2614         0  \n",
       "2615         0  \n",
       "2616         0  \n",
       "2617         2  \n",
       "2618         2  \n",
       "2619         0  \n",
       "2620         0  \n",
       "2621         0  \n",
       "2622         0  \n",
       "2623         0  \n",
       "2624         0  \n",
       "2625         0  \n",
       "2626         0  \n",
       "2627         1  \n",
       "2628         0  \n",
       "2629         2  \n",
       "2630         0  \n",
       "2631         1  \n",
       "2632         0  \n",
       "2633         2  \n",
       "2634        10  \n",
       "2635         0  \n",
       "2636         0  \n",
       "2637         1  \n",
       "2638         2  \n",
       "\n",
       "[2637 rows x 13 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#hr2.RATINGS.isna()\n",
    "\n",
    "# Remove those rows wherever there is missing value for RATINGS\n",
    "hr2 = hr2.loc[-hr2.RATINGS.isna() , ]\n",
    "\n",
    "d1\n",
    "\n",
    "# Task1 = Impute the missing values with Mean of that column for numeric variables | Hint: UDF + APPLY functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "FIRST NAME          0.000000\n",
       "LAST NAME           0.000758\n",
       "SEX                 0.000000\n",
       "DOJ                 0.000379\n",
       "CURRENT DATE        0.000000\n",
       "DESIGNATION         0.000000\n",
       "AGE                 0.001137\n",
       "SALARY              0.000000\n",
       "UNIT                0.000000\n",
       "LEAVES USED         0.001137\n",
       "LEAVES REMAINING    0.000758\n",
       "RATINGS             0.000758\n",
       "PAST EXP            0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# hr2.RATINGS.dropna()\n",
    "# hr2.shape[0]\n",
    "\n",
    "\n",
    "1- hr2.count()/hr2.shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Outliers : Any Extreme Value (and extremism is subjective) - N & S\n",
    "### Capping is Generally the way we deal with the outliers : Uppercap | LowerCap\n",
    "\n",
    "Outliers Treatment - \t\t\tCapping : >P99 | <P1                [ Mean + / - 2.5 STD/ 2.75STD/ 3STD]\t\t\t\t\tQ1 - 1.5 * IQR | Q3 + 1.5 * IQR\t\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "41442.0"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# You just need to find the statistical values-  Percentiles | Quartiels | mean + STD\n",
    "\n",
    "# hr2.SALARY.max() # 388112\n",
    "# hr2.SALARY.min()   # 40001\n",
    "\n",
    "\n",
    "\n",
    "# hr2.SALARY.quantile(0.5)# Q2 =hr2.SALARY.quantile(0.5)# Q2 = 46781.0\n",
    "# hr2.SALARY.quantile(0.25)# Q1 = 43418\n",
    "# hr2.SALARY.quantile(0.75)# Q3 = 51401.5\n",
    "\n",
    "hr2.SALARY.quantile(0.10) # D1\n",
    "# hr2.SALARY.quantile(0.01)  #P1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        44570.00\n",
       "1        89207.00\n",
       "2        40955.00\n",
       "3        45550.00\n",
       "4        43161.00\n",
       "5        48736.00\n",
       "6        40339.00\n",
       "7        40153.56\n",
       "8        63478.00\n",
       "9        43110.00\n",
       "10       41590.00\n",
       "11      160613.00\n",
       "12       44828.00\n",
       "13       45830.00\n",
       "14       43457.00\n",
       "15       44812.00\n",
       "16       47636.00\n",
       "17       48651.00\n",
       "18       40411.00\n",
       "19       44665.00\n",
       "20       46941.00\n",
       "21       47734.00\n",
       "22       40541.00\n",
       "23       43920.00\n",
       "24       45832.00\n",
       "25       48102.00\n",
       "26       48662.00\n",
       "27       49685.00\n",
       "28       57488.00\n",
       "29       45410.00\n",
       "          ...    \n",
       "2609     43228.00\n",
       "2610     52370.00\n",
       "2611     94345.00\n",
       "2612     46432.00\n",
       "2613     44599.00\n",
       "2614     42418.00\n",
       "2615     41498.00\n",
       "2616     41515.00\n",
       "2617     48541.00\n",
       "2618     66661.00\n",
       "2619     44676.00\n",
       "2620     41378.00\n",
       "2621     42369.00\n",
       "2622     42662.00\n",
       "2623     41760.00\n",
       "2624     45364.00\n",
       "2625     49892.00\n",
       "2626     49617.00\n",
       "2627     42877.00\n",
       "2628     48866.00\n",
       "2629     47849.00\n",
       "2630     44424.00\n",
       "2631     43884.00\n",
       "2632     43835.00\n",
       "2633     40277.00\n",
       "2634    185977.00\n",
       "2635     45758.00\n",
       "2636     47315.00\n",
       "2637     45172.00\n",
       "2638     49176.00\n",
       "Name: SALARY, Length: 2639, dtype: float64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hr2.SALARY.clip(lower = hr2.SALARY.quantile(0.01), upper = hr2.SALARY.quantile(0.99))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>FIRST NAME</th>\n",
       "      <th>LAST NAME</th>\n",
       "      <th>SEX</th>\n",
       "      <th>DOJ</th>\n",
       "      <th>CURRENT DATE</th>\n",
       "      <th>DESIGNATION</th>\n",
       "      <th>AGE</th>\n",
       "      <th>SALARY</th>\n",
       "      <th>UNIT</th>\n",
       "      <th>LEAVES USED</th>\n",
       "      <th>LEAVES REMAINING</th>\n",
       "      <th>RATINGS</th>\n",
       "      <th>PAST EXP</th>\n",
       "      <th>BINS</th>\n",
       "      <th>AGE_BINS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TOMASA</td>\n",
       "      <td>ARMEN</td>\n",
       "      <td>F</td>\n",
       "      <td>5-18-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>44570</td>\n",
       "      <td>Finance</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ANNIE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>F</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Associate</td>\n",
       "      <td>NaN</td>\n",
       "      <td>89207</td>\n",
       "      <td>Web</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>OLIVE</td>\n",
       "      <td>ANCY</td>\n",
       "      <td>F</td>\n",
       "      <td>7-28-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>40955</td>\n",
       "      <td>Finance</td>\n",
       "      <td>23.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CHERRY</td>\n",
       "      <td>AQUILAR</td>\n",
       "      <td>F</td>\n",
       "      <td>04-03-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>45550</td>\n",
       "      <td>IT</td>\n",
       "      <td>22.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LEON</td>\n",
       "      <td>ABOULAHOUD</td>\n",
       "      <td>M</td>\n",
       "      <td>11-20-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43161</td>\n",
       "      <td>Operations</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>VICTORIA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>F</td>\n",
       "      <td>2-19-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>48736</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>20.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ELLIOT</td>\n",
       "      <td>AGULAR</td>\n",
       "      <td>M</td>\n",
       "      <td>09-02-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>40339</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>19.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>JACQUES</td>\n",
       "      <td>AKMAL</td>\n",
       "      <td>M</td>\n",
       "      <td>12-05-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40058</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>KATHY</td>\n",
       "      <td>ALSOP</td>\n",
       "      <td>F</td>\n",
       "      <td>6-29-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Analyst</td>\n",
       "      <td>28.0</td>\n",
       "      <td>63478</td>\n",
       "      <td>Operations</td>\n",
       "      <td>20.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(25, 30]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>LILIAN</td>\n",
       "      <td>APELA</td>\n",
       "      <td>F</td>\n",
       "      <td>11-11-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>43110</td>\n",
       "      <td>Finance</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>BELLE</td>\n",
       "      <td>ARDS</td>\n",
       "      <td>F</td>\n",
       "      <td>03-10-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>41590</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>22.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>VIRGIL</td>\n",
       "      <td>ACKIES</td>\n",
       "      <td>M</td>\n",
       "      <td>02-01-2010</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>36.0</td>\n",
       "      <td>160613</td>\n",
       "      <td>Finance</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(30, 40]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>WELDON</td>\n",
       "      <td>AIVAO</td>\n",
       "      <td>M</td>\n",
       "      <td>08-01-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>44828</td>\n",
       "      <td>Finance</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>BOYD</td>\n",
       "      <td>AFTON</td>\n",
       "      <td>M</td>\n",
       "      <td>3-22-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>45830</td>\n",
       "      <td>Web</td>\n",
       "      <td>23.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>BART</td>\n",
       "      <td>AGUILLERA</td>\n",
       "      <td>M</td>\n",
       "      <td>7-27-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>43457</td>\n",
       "      <td>Management</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>CORINNE</td>\n",
       "      <td>ANDRZEJCZYK</td>\n",
       "      <td>F</td>\n",
       "      <td>8-13-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>44812</td>\n",
       "      <td>IT</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>ALONZO</td>\n",
       "      <td>ADSIDE</td>\n",
       "      <td>M</td>\n",
       "      <td>9-16-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>47636</td>\n",
       "      <td>Finance</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>ROYCE</td>\n",
       "      <td>AGOSTO</td>\n",
       "      <td>M</td>\n",
       "      <td>06-07-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>48651</td>\n",
       "      <td>Web</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>BURTON</td>\n",
       "      <td>AGUILER</td>\n",
       "      <td>M</td>\n",
       "      <td>02-03-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23.0</td>\n",
       "      <td>40411</td>\n",
       "      <td>Management</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>PHILLIP</td>\n",
       "      <td>ABDULA</td>\n",
       "      <td>M</td>\n",
       "      <td>07-03-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>44665</td>\n",
       "      <td>Web</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>ORVILLE</td>\n",
       "      <td>ADNEY</td>\n",
       "      <td>M</td>\n",
       "      <td>6-23-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>46941</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>23.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>KORY</td>\n",
       "      <td>ALEGRIA</td>\n",
       "      <td>M</td>\n",
       "      <td>10-11-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>47734</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>28.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>NETTIE</td>\n",
       "      <td>ANDRADA</td>\n",
       "      <td>F</td>\n",
       "      <td>07-11-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23.0</td>\n",
       "      <td>40541</td>\n",
       "      <td>Operations</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>WENDI</td>\n",
       "      <td>APPERT</td>\n",
       "      <td>F</td>\n",
       "      <td>12-02-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>43920</td>\n",
       "      <td>Web</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>BRENT</td>\n",
       "      <td>ABRIL</td>\n",
       "      <td>M</td>\n",
       "      <td>02-11-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>45832</td>\n",
       "      <td>Management</td>\n",
       "      <td>28.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>HARRIETTE</td>\n",
       "      <td>ARMSTRONG</td>\n",
       "      <td>F</td>\n",
       "      <td>1-22-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23.0</td>\n",
       "      <td>48102</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>GARLAND</td>\n",
       "      <td>AGLER</td>\n",
       "      <td>M</td>\n",
       "      <td>09-07-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>48662</td>\n",
       "      <td>Management</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>OSWALDO</td>\n",
       "      <td>ALLENBAUGH</td>\n",
       "      <td>M</td>\n",
       "      <td>2-15-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>49685</td>\n",
       "      <td>Operations</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>SEYMOUR</td>\n",
       "      <td>ALBEN</td>\n",
       "      <td>M</td>\n",
       "      <td>12-21-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>57488</td>\n",
       "      <td>Operations</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ROXANNE</td>\n",
       "      <td>AMRINE</td>\n",
       "      <td>F</td>\n",
       "      <td>3-13-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>45410</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2609</th>\n",
       "      <td>ANTONIO</td>\n",
       "      <td>ABEDI</td>\n",
       "      <td>M</td>\n",
       "      <td>6-18-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>43228</td>\n",
       "      <td>Management</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2610</th>\n",
       "      <td>LESSIE</td>\n",
       "      <td>APPLONIE</td>\n",
       "      <td>F</td>\n",
       "      <td>06-09-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>52370</td>\n",
       "      <td>Operations</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2611</th>\n",
       "      <td>GERRY</td>\n",
       "      <td>AHSAN</td>\n",
       "      <td>M</td>\n",
       "      <td>7-14-2011</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Associate</td>\n",
       "      <td>32.0</td>\n",
       "      <td>94345</td>\n",
       "      <td>Management</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(30, 40]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2612</th>\n",
       "      <td>MAMIE</td>\n",
       "      <td>AMODT</td>\n",
       "      <td>F</td>\n",
       "      <td>5-29-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>46432</td>\n",
       "      <td>Operations</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2613</th>\n",
       "      <td>DINAH</td>\n",
       "      <td>ARHELGER</td>\n",
       "      <td>F</td>\n",
       "      <td>09-01-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>44599</td>\n",
       "      <td>IT</td>\n",
       "      <td>22.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2614</th>\n",
       "      <td>KELLIE</td>\n",
       "      <td>ANDERBERG</td>\n",
       "      <td>F</td>\n",
       "      <td>2-20-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>42418</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>20.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2615</th>\n",
       "      <td>LINA</td>\n",
       "      <td>APE</td>\n",
       "      <td>F</td>\n",
       "      <td>03-07-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>41498</td>\n",
       "      <td>Web</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2616</th>\n",
       "      <td>WINIFRED</td>\n",
       "      <td>ANDRADO</td>\n",
       "      <td>F</td>\n",
       "      <td>4-27-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>41515</td>\n",
       "      <td>Finance</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2617</th>\n",
       "      <td>JEANNA</td>\n",
       "      <td>ARENIVAS</td>\n",
       "      <td>F</td>\n",
       "      <td>9-28-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>48541</td>\n",
       "      <td>Operations</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2618</th>\n",
       "      <td>HATTIE</td>\n",
       "      <td>AMICO</td>\n",
       "      <td>F</td>\n",
       "      <td>08-12-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Analyst</td>\n",
       "      <td>26.0</td>\n",
       "      <td>66661</td>\n",
       "      <td>Finance</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(25, 30]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2619</th>\n",
       "      <td>KENDRA</td>\n",
       "      <td>AMSTRONG</td>\n",
       "      <td>F</td>\n",
       "      <td>5-26-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>44676</td>\n",
       "      <td>Operations</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2620</th>\n",
       "      <td>MOLLY</td>\n",
       "      <td>AMIDEI</td>\n",
       "      <td>F</td>\n",
       "      <td>11-28-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>41378</td>\n",
       "      <td>Finance</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2621</th>\n",
       "      <td>PATRICIA</td>\n",
       "      <td>ALMETER</td>\n",
       "      <td>F</td>\n",
       "      <td>03-01-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>42369</td>\n",
       "      <td>IT</td>\n",
       "      <td>18.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2622</th>\n",
       "      <td>AUDRA</td>\n",
       "      <td>ANNON</td>\n",
       "      <td>F</td>\n",
       "      <td>02-06-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>42662</td>\n",
       "      <td>Finance</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2623</th>\n",
       "      <td>JC</td>\n",
       "      <td>ALKEMA</td>\n",
       "      <td>M</td>\n",
       "      <td>4-15-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>41760</td>\n",
       "      <td>Finance</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2624</th>\n",
       "      <td>JOSPEH</td>\n",
       "      <td>ALLIS</td>\n",
       "      <td>M</td>\n",
       "      <td>2-26-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>45364</td>\n",
       "      <td>Web</td>\n",
       "      <td>20.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2625</th>\n",
       "      <td>FRANCES</td>\n",
       "      <td>ALQUESTA</td>\n",
       "      <td>F</td>\n",
       "      <td>5-17-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>49892</td>\n",
       "      <td>Finance</td>\n",
       "      <td>28.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2626</th>\n",
       "      <td>LEE</td>\n",
       "      <td>ABERLE</td>\n",
       "      <td>M</td>\n",
       "      <td>12-15-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>49617</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>16.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2627</th>\n",
       "      <td>ROBYN</td>\n",
       "      <td>AMSDELL</td>\n",
       "      <td>F</td>\n",
       "      <td>10-01-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23.0</td>\n",
       "      <td>42877</td>\n",
       "      <td>Operations</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2628</th>\n",
       "      <td>DREW</td>\n",
       "      <td>ADOLF</td>\n",
       "      <td>M</td>\n",
       "      <td>12-01-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>48866</td>\n",
       "      <td>Finance</td>\n",
       "      <td>20.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2629</th>\n",
       "      <td>RICKIE</td>\n",
       "      <td>AICHELE</td>\n",
       "      <td>M</td>\n",
       "      <td>9-28-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>47849</td>\n",
       "      <td>IT</td>\n",
       "      <td>22.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2630</th>\n",
       "      <td>ELVIA</td>\n",
       "      <td>APPELGREN</td>\n",
       "      <td>F</td>\n",
       "      <td>5-18-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>44424</td>\n",
       "      <td>IT</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2631</th>\n",
       "      <td>BILLY</td>\n",
       "      <td>ABDELAZIZ</td>\n",
       "      <td>M</td>\n",
       "      <td>06-06-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>43884</td>\n",
       "      <td>Finance</td>\n",
       "      <td>23.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2632</th>\n",
       "      <td>MARLENE</td>\n",
       "      <td>AMAYA</td>\n",
       "      <td>F</td>\n",
       "      <td>9-15-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>43835</td>\n",
       "      <td>Management</td>\n",
       "      <td>26.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2633</th>\n",
       "      <td>ALENE</td>\n",
       "      <td>ARILDSEN</td>\n",
       "      <td>F</td>\n",
       "      <td>8-20-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>40277</td>\n",
       "      <td>Web</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2634</th>\n",
       "      <td>KATHERINE</td>\n",
       "      <td>ALSDON</td>\n",
       "      <td>F</td>\n",
       "      <td>6-28-2011</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>36.0</td>\n",
       "      <td>185977</td>\n",
       "      <td>Management</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(30, 40]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2635</th>\n",
       "      <td>LOUISE</td>\n",
       "      <td>ALTARAS</td>\n",
       "      <td>F</td>\n",
       "      <td>1-14-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23.0</td>\n",
       "      <td>45758</td>\n",
       "      <td>IT</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2636</th>\n",
       "      <td>RENEE</td>\n",
       "      <td>ALVINO</td>\n",
       "      <td>F</td>\n",
       "      <td>1-23-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>47315</td>\n",
       "      <td>Web</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2637</th>\n",
       "      <td>TERI</td>\n",
       "      <td>ANASTASIO</td>\n",
       "      <td>F</td>\n",
       "      <td>3-17-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>45172</td>\n",
       "      <td>Web</td>\n",
       "      <td>23.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2638</th>\n",
       "      <td>GREGORY</td>\n",
       "      <td>ABARCA</td>\n",
       "      <td>M</td>\n",
       "      <td>9-18-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>49176</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2639 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     FIRST NAME    LAST NAME SEX         DOJ CURRENT DATE     DESIGNATION  \\\n",
       "0        TOMASA        ARMEN   F   5-18-2014   01-07-2016         Analyst   \n",
       "1         ANNIE          NaN   F         NaN   01-07-2016       Associate   \n",
       "2         OLIVE         ANCY   F   7-28-2014   01-07-2016         Analyst   \n",
       "3        CHERRY      AQUILAR   F  04-03-2013   01-07-2016         Analyst   \n",
       "4          LEON   ABOULAHOUD   M  11-20-2014   01-07-2016         Analyst   \n",
       "5      VICTORIA          NaN   F   2-19-2013   01-07-2016         Analyst   \n",
       "6        ELLIOT       AGULAR   M  09-02-2013   01-07-2016         Analyst   \n",
       "7       JACQUES        AKMAL   M  12-05-2013   01-07-2016         Analyst   \n",
       "8         KATHY        ALSOP   F   6-29-2014   01-07-2016  Senior Analyst   \n",
       "9        LILIAN        APELA   F  11-11-2014   01-07-2016         Analyst   \n",
       "10        BELLE         ARDS   F  03-10-2014   01-07-2016         Analyst   \n",
       "11       VIRGIL       ACKIES   M  02-01-2010   01-07-2016  Senior Manager   \n",
       "12       WELDON        AIVAO   M  08-01-2013   01-07-2016         Analyst   \n",
       "13         BOYD        AFTON   M   3-22-2013   01-07-2016         Analyst   \n",
       "14         BART    AGUILLERA   M   7-27-2013   01-07-2016         Analyst   \n",
       "15      CORINNE  ANDRZEJCZYK   F   8-13-2014   01-07-2016         Analyst   \n",
       "16       ALONZO       ADSIDE   M   9-16-2013   01-07-2016         Analyst   \n",
       "17        ROYCE       AGOSTO   M  06-07-2014   01-07-2016         Analyst   \n",
       "18       BURTON      AGUILER   M  02-03-2013   01-07-2016         Analyst   \n",
       "19      PHILLIP       ABDULA   M  07-03-2013   01-07-2016         Analyst   \n",
       "20      ORVILLE        ADNEY   M   6-23-2013   01-07-2016         Analyst   \n",
       "21         KORY      ALEGRIA   M  10-11-2013   01-07-2016         Analyst   \n",
       "22       NETTIE      ANDRADA   F  07-11-2014   01-07-2016         Analyst   \n",
       "23        WENDI       APPERT   F  12-02-2013   01-07-2016         Analyst   \n",
       "24        BRENT        ABRIL   M  02-11-2013   01-07-2016         Analyst   \n",
       "25    HARRIETTE    ARMSTRONG   F   1-22-2014   01-07-2016         Analyst   \n",
       "26      GARLAND        AGLER   M  09-07-2014   01-07-2016         Analyst   \n",
       "27      OSWALDO   ALLENBAUGH   M   2-15-2013   01-07-2016         Analyst   \n",
       "28      SEYMOUR        ALBEN   M  12-21-2014   01-07-2016  Senior Analyst   \n",
       "29      ROXANNE       AMRINE   F   3-13-2013   01-07-2016         Analyst   \n",
       "...         ...          ...  ..         ...          ...             ...   \n",
       "2609    ANTONIO        ABEDI   M   6-18-2014   01-07-2016         Analyst   \n",
       "2610     LESSIE     APPLONIE   F  06-09-2013   01-07-2016  Senior Analyst   \n",
       "2611      GERRY        AHSAN   M   7-14-2011   01-07-2016       Associate   \n",
       "2612      MAMIE        AMODT   F   5-29-2013   01-07-2016         Analyst   \n",
       "2613      DINAH     ARHELGER   F  09-01-2013   01-07-2016         Analyst   \n",
       "2614     KELLIE    ANDERBERG   F   2-20-2014   01-07-2016         Analyst   \n",
       "2615       LINA          APE   F  03-07-2014   01-07-2016         Analyst   \n",
       "2616   WINIFRED      ANDRADO   F   4-27-2013   01-07-2016         Analyst   \n",
       "2617     JEANNA     ARENIVAS   F   9-28-2013   01-07-2016         Analyst   \n",
       "2618     HATTIE        AMICO   F  08-12-2013   01-07-2016  Senior Analyst   \n",
       "2619     KENDRA     AMSTRONG   F   5-26-2013   01-07-2016         Analyst   \n",
       "2620      MOLLY       AMIDEI   F  11-28-2013   01-07-2016         Analyst   \n",
       "2621   PATRICIA      ALMETER   F  03-01-2014   01-07-2016         Analyst   \n",
       "2622      AUDRA        ANNON   F  02-06-2014   01-07-2016         Analyst   \n",
       "2623         JC       ALKEMA   M   4-15-2013   01-07-2016         Analyst   \n",
       "2624     JOSPEH        ALLIS   M   2-26-2014   01-07-2016         Analyst   \n",
       "2625    FRANCES     ALQUESTA   F   5-17-2013   01-07-2016         Analyst   \n",
       "2626        LEE       ABERLE   M  12-15-2013   01-07-2016         Analyst   \n",
       "2627      ROBYN      AMSDELL   F  10-01-2014   01-07-2016         Analyst   \n",
       "2628       DREW        ADOLF   M  12-01-2013   01-07-2016         Analyst   \n",
       "2629     RICKIE      AICHELE   M   9-28-2013   01-07-2016         Analyst   \n",
       "2630      ELVIA    APPELGREN   F   5-18-2013   01-07-2016         Analyst   \n",
       "2631      BILLY    ABDELAZIZ   M  06-06-2013   01-07-2016         Analyst   \n",
       "2632    MARLENE        AMAYA   F   9-15-2014   01-07-2016         Analyst   \n",
       "2633      ALENE     ARILDSEN   F   8-20-2014   01-07-2016         Analyst   \n",
       "2634  KATHERINE       ALSDON   F   6-28-2011   01-07-2016  Senior Manager   \n",
       "2635     LOUISE      ALTARAS   F   1-14-2014   01-07-2016         Analyst   \n",
       "2636      RENEE       ALVINO   F   1-23-2014   01-07-2016         Analyst   \n",
       "2637       TERI    ANASTASIO   F   3-17-2014   01-07-2016         Analyst   \n",
       "2638    GREGORY       ABARCA   M   9-18-2014   01-07-2016         Analyst   \n",
       "\n",
       "       AGE  SALARY        UNIT  LEAVES USED  LEAVES REMAINING  RATINGS  \\\n",
       "0     21.0   44570     Finance         24.0               6.0      2.0   \n",
       "1      NaN   89207         Web          NaN              13.0      NaN   \n",
       "2     21.0   40955     Finance         23.0               7.0      3.0   \n",
       "3     22.0   45550          IT         22.0               8.0      3.0   \n",
       "4      NaN   43161  Operations         27.0               3.0      NaN   \n",
       "5     22.0   48736   Marketing         20.0              10.0      4.0   \n",
       "6     22.0   40339   Marketing         19.0              11.0      5.0   \n",
       "7      NaN   40058   Marketing         29.0               1.0      2.0   \n",
       "8     28.0   63478  Operations         20.0              10.0      3.0   \n",
       "9     22.0   43110     Finance         15.0              15.0      3.0   \n",
       "10    24.0   41590   Marketing         22.0               8.0      4.0   \n",
       "11    36.0  160613     Finance          NaN              11.0      2.0   \n",
       "12    24.0   44828     Finance         15.0              15.0      5.0   \n",
       "13    21.0   45830         Web         23.0               7.0      2.0   \n",
       "14    24.0   43457  Management         30.0               0.0      4.0   \n",
       "15    21.0   44812          IT         16.0               NaN      5.0   \n",
       "16    25.0   47636     Finance         27.0               3.0      3.0   \n",
       "17    24.0   48651         Web         27.0               3.0      5.0   \n",
       "18    23.0   40411  Management         21.0               9.0      3.0   \n",
       "19    24.0   44665         Web          NaN              12.0      5.0   \n",
       "20    25.0   46941   Marketing         23.0               7.0      3.0   \n",
       "21    22.0   47734   Marketing         28.0               2.0      5.0   \n",
       "22    23.0   40541  Operations         15.0              15.0      5.0   \n",
       "23    25.0   43920         Web         28.0               NaN      2.0   \n",
       "24    21.0   45832  Management         28.0               2.0      2.0   \n",
       "25    23.0   48102   Marketing         17.0              13.0      2.0   \n",
       "26    21.0   48662  Management         30.0               0.0      5.0   \n",
       "27    25.0   49685  Operations         15.0              15.0      2.0   \n",
       "28    25.0   57488  Operations         25.0               5.0      3.0   \n",
       "29    21.0   45410   Marketing         29.0               1.0      2.0   \n",
       "...    ...     ...         ...          ...               ...      ...   \n",
       "2609  22.0   43228  Management         25.0               5.0      4.0   \n",
       "2610  25.0   52370  Operations         24.0               6.0      5.0   \n",
       "2611  32.0   94345  Management         17.0              13.0      4.0   \n",
       "2612  21.0   46432  Operations         30.0               0.0      4.0   \n",
       "2613  24.0   44599          IT         22.0               8.0      2.0   \n",
       "2614  22.0   42418   Marketing         20.0              10.0      3.0   \n",
       "2615  21.0   41498         Web         21.0               9.0      5.0   \n",
       "2616  22.0   41515     Finance         25.0               5.0      5.0   \n",
       "2617  25.0   48541  Operations         24.0               6.0      2.0   \n",
       "2618  26.0   66661     Finance         30.0               0.0      5.0   \n",
       "2619  22.0   44676  Operations         15.0              15.0      3.0   \n",
       "2620  21.0   41378     Finance         21.0               9.0      5.0   \n",
       "2621  22.0   42369          IT         18.0              12.0      4.0   \n",
       "2622  22.0   42662     Finance         29.0               1.0      3.0   \n",
       "2623  22.0   41760     Finance         21.0               9.0      2.0   \n",
       "2624  22.0   45364         Web         20.0              10.0      2.0   \n",
       "2625  21.0   49892     Finance         28.0               2.0      4.0   \n",
       "2626  22.0   49617   Marketing         16.0              14.0      5.0   \n",
       "2627  23.0   42877  Operations         21.0               9.0      2.0   \n",
       "2628  21.0   48866     Finance         20.0              10.0      3.0   \n",
       "2629  25.0   47849          IT         22.0               8.0      2.0   \n",
       "2630  24.0   44424          IT         25.0               5.0      2.0   \n",
       "2631  25.0   43884     Finance         23.0               7.0      4.0   \n",
       "2632  22.0   43835  Management         26.0               4.0      4.0   \n",
       "2633  24.0   40277         Web         17.0              13.0      4.0   \n",
       "2634  36.0  185977  Management         15.0              15.0      5.0   \n",
       "2635  23.0   45758          IT         17.0              13.0      2.0   \n",
       "2636  21.0   47315         Web         29.0               1.0      5.0   \n",
       "2637  24.0   45172         Web         23.0               7.0      3.0   \n",
       "2638  24.0   49176   Marketing         17.0              13.0      2.0   \n",
       "\n",
       "      PAST EXP BINS  AGE_BINS  \n",
       "0            0  NaN  (20, 25]  \n",
       "1            7  NaN       NaN  \n",
       "2            0  NaN  (20, 25]  \n",
       "3            0  NaN  (20, 25]  \n",
       "4            3  NaN       NaN  \n",
       "5            0  NaN  (20, 25]  \n",
       "6            0  NaN  (20, 25]  \n",
       "7            2  NaN       NaN  \n",
       "8            1  NaN  (25, 30]  \n",
       "9            0  NaN  (20, 25]  \n",
       "10           1  NaN  (20, 25]  \n",
       "11           9  NaN  (30, 40]  \n",
       "12           1  NaN  (20, 25]  \n",
       "13           0  NaN  (20, 25]  \n",
       "14           1  NaN  (20, 25]  \n",
       "15           0  NaN  (20, 25]  \n",
       "16           2  NaN  (20, 25]  \n",
       "17           1  NaN  (20, 25]  \n",
       "18           0  NaN  (20, 25]  \n",
       "19           0  NaN  (20, 25]  \n",
       "20           1  NaN  (20, 25]  \n",
       "21           0  NaN  (20, 25]  \n",
       "22           1  NaN  (20, 25]  \n",
       "23           2  NaN  (20, 25]  \n",
       "24           0  NaN  (20, 25]  \n",
       "25           0  NaN  (20, 25]  \n",
       "26           0  NaN  (20, 25]  \n",
       "27           1  NaN  (20, 25]  \n",
       "28           0  NaN  (20, 25]  \n",
       "29           0  NaN  (20, 25]  \n",
       "...        ...  ...       ...  \n",
       "2609         0  NaN  (20, 25]  \n",
       "2610         0  NaN  (20, 25]  \n",
       "2611         5  NaN  (30, 40]  \n",
       "2612         0  NaN  (20, 25]  \n",
       "2613         1  NaN  (20, 25]  \n",
       "2614         0  NaN  (20, 25]  \n",
       "2615         0  NaN  (20, 25]  \n",
       "2616         0  NaN  (20, 25]  \n",
       "2617         2  NaN  (20, 25]  \n",
       "2618         2  NaN  (25, 30]  \n",
       "2619         0  NaN  (20, 25]  \n",
       "2620         0  NaN  (20, 25]  \n",
       "2621         0  NaN  (20, 25]  \n",
       "2622         0  NaN  (20, 25]  \n",
       "2623         0  NaN  (20, 25]  \n",
       "2624         0  NaN  (20, 25]  \n",
       "2625         0  NaN  (20, 25]  \n",
       "2626         0  NaN  (20, 25]  \n",
       "2627         1  NaN  (20, 25]  \n",
       "2628         0  NaN  (20, 25]  \n",
       "2629         2  NaN  (20, 25]  \n",
       "2630         0  NaN  (20, 25]  \n",
       "2631         1  NaN  (20, 25]  \n",
       "2632         0  NaN  (20, 25]  \n",
       "2633         2  NaN  (20, 25]  \n",
       "2634        10  NaN  (30, 40]  \n",
       "2635         0  NaN  (20, 25]  \n",
       "2636         0  NaN  (20, 25]  \n",
       "2637         1  NaN  (20, 25]  \n",
       "2638         2  NaN  (20, 25]  \n",
       "\n",
       "[2639 rows x 15 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hr2[\"AGE_BINS\"]= pd.cut(hr2.AGE,[0,20,25,30,40])\n",
    "\n",
    "hr2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FIRST NAME</th>\n",
       "      <th>LAST NAME</th>\n",
       "      <th>SEX</th>\n",
       "      <th>DOJ</th>\n",
       "      <th>CURRENT DATE</th>\n",
       "      <th>DESIGNATION</th>\n",
       "      <th>AGE</th>\n",
       "      <th>SALARY</th>\n",
       "      <th>UNIT</th>\n",
       "      <th>LEAVES USED</th>\n",
       "      <th>LEAVES REMAINING</th>\n",
       "      <th>RATINGS</th>\n",
       "      <th>PAST EXP</th>\n",
       "      <th>BINS</th>\n",
       "      <th>AGE_BINS</th>\n",
       "      <th>quant_salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TOMASA</td>\n",
       "      <td>ARMEN</td>\n",
       "      <td>F</td>\n",
       "      <td>5-18-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>44570</td>\n",
       "      <td>Finance</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(43418.0, 46781.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ANNIE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>F</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Associate</td>\n",
       "      <td>NaN</td>\n",
       "      <td>89207</td>\n",
       "      <td>Web</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(51401.5, 388112.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>OLIVE</td>\n",
       "      <td>ANCY</td>\n",
       "      <td>F</td>\n",
       "      <td>7-28-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>40955</td>\n",
       "      <td>Finance</td>\n",
       "      <td>23.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(40000.999, 43418.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CHERRY</td>\n",
       "      <td>AQUILAR</td>\n",
       "      <td>F</td>\n",
       "      <td>04-03-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>45550</td>\n",
       "      <td>IT</td>\n",
       "      <td>22.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(43418.0, 46781.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LEON</td>\n",
       "      <td>ABOULAHOUD</td>\n",
       "      <td>M</td>\n",
       "      <td>11-20-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43161</td>\n",
       "      <td>Operations</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(40000.999, 43418.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>VICTORIA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>F</td>\n",
       "      <td>2-19-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>48736</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>20.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(46781.0, 51401.5]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ELLIOT</td>\n",
       "      <td>AGULAR</td>\n",
       "      <td>M</td>\n",
       "      <td>09-02-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>40339</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>19.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(40000.999, 43418.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>JACQUES</td>\n",
       "      <td>AKMAL</td>\n",
       "      <td>M</td>\n",
       "      <td>12-05-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40058</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(40000.999, 43418.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>KATHY</td>\n",
       "      <td>ALSOP</td>\n",
       "      <td>F</td>\n",
       "      <td>6-29-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Analyst</td>\n",
       "      <td>28.0</td>\n",
       "      <td>63478</td>\n",
       "      <td>Operations</td>\n",
       "      <td>20.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(25, 30]</td>\n",
       "      <td>(51401.5, 388112.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>LILIAN</td>\n",
       "      <td>APELA</td>\n",
       "      <td>F</td>\n",
       "      <td>11-11-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>43110</td>\n",
       "      <td>Finance</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(40000.999, 43418.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>BELLE</td>\n",
       "      <td>ARDS</td>\n",
       "      <td>F</td>\n",
       "      <td>03-10-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>41590</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>22.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(40000.999, 43418.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>VIRGIL</td>\n",
       "      <td>ACKIES</td>\n",
       "      <td>M</td>\n",
       "      <td>02-01-2010</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>36.0</td>\n",
       "      <td>160613</td>\n",
       "      <td>Finance</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(30, 40]</td>\n",
       "      <td>(51401.5, 388112.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>WELDON</td>\n",
       "      <td>AIVAO</td>\n",
       "      <td>M</td>\n",
       "      <td>08-01-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>44828</td>\n",
       "      <td>Finance</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(43418.0, 46781.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>BOYD</td>\n",
       "      <td>AFTON</td>\n",
       "      <td>M</td>\n",
       "      <td>3-22-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>45830</td>\n",
       "      <td>Web</td>\n",
       "      <td>23.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(43418.0, 46781.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>BART</td>\n",
       "      <td>AGUILLERA</td>\n",
       "      <td>M</td>\n",
       "      <td>7-27-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>43457</td>\n",
       "      <td>Management</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(43418.0, 46781.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>CORINNE</td>\n",
       "      <td>ANDRZEJCZYK</td>\n",
       "      <td>F</td>\n",
       "      <td>8-13-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>44812</td>\n",
       "      <td>IT</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(43418.0, 46781.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>ALONZO</td>\n",
       "      <td>ADSIDE</td>\n",
       "      <td>M</td>\n",
       "      <td>9-16-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>47636</td>\n",
       "      <td>Finance</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(46781.0, 51401.5]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>ROYCE</td>\n",
       "      <td>AGOSTO</td>\n",
       "      <td>M</td>\n",
       "      <td>06-07-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>48651</td>\n",
       "      <td>Web</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(46781.0, 51401.5]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>BURTON</td>\n",
       "      <td>AGUILER</td>\n",
       "      <td>M</td>\n",
       "      <td>02-03-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23.0</td>\n",
       "      <td>40411</td>\n",
       "      <td>Management</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(40000.999, 43418.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>PHILLIP</td>\n",
       "      <td>ABDULA</td>\n",
       "      <td>M</td>\n",
       "      <td>07-03-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>44665</td>\n",
       "      <td>Web</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(43418.0, 46781.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>ORVILLE</td>\n",
       "      <td>ADNEY</td>\n",
       "      <td>M</td>\n",
       "      <td>6-23-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>46941</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>23.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(46781.0, 51401.5]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>KORY</td>\n",
       "      <td>ALEGRIA</td>\n",
       "      <td>M</td>\n",
       "      <td>10-11-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>47734</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>28.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(46781.0, 51401.5]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>NETTIE</td>\n",
       "      <td>ANDRADA</td>\n",
       "      <td>F</td>\n",
       "      <td>07-11-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23.0</td>\n",
       "      <td>40541</td>\n",
       "      <td>Operations</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(40000.999, 43418.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>WENDI</td>\n",
       "      <td>APPERT</td>\n",
       "      <td>F</td>\n",
       "      <td>12-02-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>43920</td>\n",
       "      <td>Web</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(43418.0, 46781.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>BRENT</td>\n",
       "      <td>ABRIL</td>\n",
       "      <td>M</td>\n",
       "      <td>02-11-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>45832</td>\n",
       "      <td>Management</td>\n",
       "      <td>28.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(43418.0, 46781.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>HARRIETTE</td>\n",
       "      <td>ARMSTRONG</td>\n",
       "      <td>F</td>\n",
       "      <td>1-22-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23.0</td>\n",
       "      <td>48102</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(46781.0, 51401.5]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>GARLAND</td>\n",
       "      <td>AGLER</td>\n",
       "      <td>M</td>\n",
       "      <td>09-07-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>48662</td>\n",
       "      <td>Management</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(46781.0, 51401.5]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>OSWALDO</td>\n",
       "      <td>ALLENBAUGH</td>\n",
       "      <td>M</td>\n",
       "      <td>2-15-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>49685</td>\n",
       "      <td>Operations</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(46781.0, 51401.5]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>SEYMOUR</td>\n",
       "      <td>ALBEN</td>\n",
       "      <td>M</td>\n",
       "      <td>12-21-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>57488</td>\n",
       "      <td>Operations</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(51401.5, 388112.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ROXANNE</td>\n",
       "      <td>AMRINE</td>\n",
       "      <td>F</td>\n",
       "      <td>3-13-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>45410</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(43418.0, 46781.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2609</th>\n",
       "      <td>ANTONIO</td>\n",
       "      <td>ABEDI</td>\n",
       "      <td>M</td>\n",
       "      <td>6-18-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>43228</td>\n",
       "      <td>Management</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(40000.999, 43418.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2610</th>\n",
       "      <td>LESSIE</td>\n",
       "      <td>APPLONIE</td>\n",
       "      <td>F</td>\n",
       "      <td>06-09-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>52370</td>\n",
       "      <td>Operations</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(51401.5, 388112.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2611</th>\n",
       "      <td>GERRY</td>\n",
       "      <td>AHSAN</td>\n",
       "      <td>M</td>\n",
       "      <td>7-14-2011</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Associate</td>\n",
       "      <td>32.0</td>\n",
       "      <td>94345</td>\n",
       "      <td>Management</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(30, 40]</td>\n",
       "      <td>(51401.5, 388112.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2612</th>\n",
       "      <td>MAMIE</td>\n",
       "      <td>AMODT</td>\n",
       "      <td>F</td>\n",
       "      <td>5-29-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>46432</td>\n",
       "      <td>Operations</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(43418.0, 46781.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2613</th>\n",
       "      <td>DINAH</td>\n",
       "      <td>ARHELGER</td>\n",
       "      <td>F</td>\n",
       "      <td>09-01-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>44599</td>\n",
       "      <td>IT</td>\n",
       "      <td>22.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(43418.0, 46781.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2614</th>\n",
       "      <td>KELLIE</td>\n",
       "      <td>ANDERBERG</td>\n",
       "      <td>F</td>\n",
       "      <td>2-20-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>42418</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>20.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(40000.999, 43418.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2615</th>\n",
       "      <td>LINA</td>\n",
       "      <td>APE</td>\n",
       "      <td>F</td>\n",
       "      <td>03-07-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>41498</td>\n",
       "      <td>Web</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(40000.999, 43418.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2616</th>\n",
       "      <td>WINIFRED</td>\n",
       "      <td>ANDRADO</td>\n",
       "      <td>F</td>\n",
       "      <td>4-27-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>41515</td>\n",
       "      <td>Finance</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(40000.999, 43418.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2617</th>\n",
       "      <td>JEANNA</td>\n",
       "      <td>ARENIVAS</td>\n",
       "      <td>F</td>\n",
       "      <td>9-28-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>48541</td>\n",
       "      <td>Operations</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(46781.0, 51401.5]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2618</th>\n",
       "      <td>HATTIE</td>\n",
       "      <td>AMICO</td>\n",
       "      <td>F</td>\n",
       "      <td>08-12-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Analyst</td>\n",
       "      <td>26.0</td>\n",
       "      <td>66661</td>\n",
       "      <td>Finance</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(25, 30]</td>\n",
       "      <td>(51401.5, 388112.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2619</th>\n",
       "      <td>KENDRA</td>\n",
       "      <td>AMSTRONG</td>\n",
       "      <td>F</td>\n",
       "      <td>5-26-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>44676</td>\n",
       "      <td>Operations</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(43418.0, 46781.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2620</th>\n",
       "      <td>MOLLY</td>\n",
       "      <td>AMIDEI</td>\n",
       "      <td>F</td>\n",
       "      <td>11-28-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>41378</td>\n",
       "      <td>Finance</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(40000.999, 43418.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2621</th>\n",
       "      <td>PATRICIA</td>\n",
       "      <td>ALMETER</td>\n",
       "      <td>F</td>\n",
       "      <td>03-01-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>42369</td>\n",
       "      <td>IT</td>\n",
       "      <td>18.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(40000.999, 43418.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2622</th>\n",
       "      <td>AUDRA</td>\n",
       "      <td>ANNON</td>\n",
       "      <td>F</td>\n",
       "      <td>02-06-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>42662</td>\n",
       "      <td>Finance</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(40000.999, 43418.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2623</th>\n",
       "      <td>JC</td>\n",
       "      <td>ALKEMA</td>\n",
       "      <td>M</td>\n",
       "      <td>4-15-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>41760</td>\n",
       "      <td>Finance</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(40000.999, 43418.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2624</th>\n",
       "      <td>JOSPEH</td>\n",
       "      <td>ALLIS</td>\n",
       "      <td>M</td>\n",
       "      <td>2-26-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>45364</td>\n",
       "      <td>Web</td>\n",
       "      <td>20.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(43418.0, 46781.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2625</th>\n",
       "      <td>FRANCES</td>\n",
       "      <td>ALQUESTA</td>\n",
       "      <td>F</td>\n",
       "      <td>5-17-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>49892</td>\n",
       "      <td>Finance</td>\n",
       "      <td>28.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(46781.0, 51401.5]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2626</th>\n",
       "      <td>LEE</td>\n",
       "      <td>ABERLE</td>\n",
       "      <td>M</td>\n",
       "      <td>12-15-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>49617</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>16.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(46781.0, 51401.5]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2627</th>\n",
       "      <td>ROBYN</td>\n",
       "      <td>AMSDELL</td>\n",
       "      <td>F</td>\n",
       "      <td>10-01-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23.0</td>\n",
       "      <td>42877</td>\n",
       "      <td>Operations</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(40000.999, 43418.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2628</th>\n",
       "      <td>DREW</td>\n",
       "      <td>ADOLF</td>\n",
       "      <td>M</td>\n",
       "      <td>12-01-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>48866</td>\n",
       "      <td>Finance</td>\n",
       "      <td>20.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(46781.0, 51401.5]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2629</th>\n",
       "      <td>RICKIE</td>\n",
       "      <td>AICHELE</td>\n",
       "      <td>M</td>\n",
       "      <td>9-28-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>47849</td>\n",
       "      <td>IT</td>\n",
       "      <td>22.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(46781.0, 51401.5]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2630</th>\n",
       "      <td>ELVIA</td>\n",
       "      <td>APPELGREN</td>\n",
       "      <td>F</td>\n",
       "      <td>5-18-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>44424</td>\n",
       "      <td>IT</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(43418.0, 46781.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2631</th>\n",
       "      <td>BILLY</td>\n",
       "      <td>ABDELAZIZ</td>\n",
       "      <td>M</td>\n",
       "      <td>06-06-2013</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>43884</td>\n",
       "      <td>Finance</td>\n",
       "      <td>23.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(43418.0, 46781.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2632</th>\n",
       "      <td>MARLENE</td>\n",
       "      <td>AMAYA</td>\n",
       "      <td>F</td>\n",
       "      <td>9-15-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>22.0</td>\n",
       "      <td>43835</td>\n",
       "      <td>Management</td>\n",
       "      <td>26.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(43418.0, 46781.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2633</th>\n",
       "      <td>ALENE</td>\n",
       "      <td>ARILDSEN</td>\n",
       "      <td>F</td>\n",
       "      <td>8-20-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>40277</td>\n",
       "      <td>Web</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(40000.999, 43418.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2634</th>\n",
       "      <td>KATHERINE</td>\n",
       "      <td>ALSDON</td>\n",
       "      <td>F</td>\n",
       "      <td>6-28-2011</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>36.0</td>\n",
       "      <td>185977</td>\n",
       "      <td>Management</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(30, 40]</td>\n",
       "      <td>(51401.5, 388112.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2635</th>\n",
       "      <td>LOUISE</td>\n",
       "      <td>ALTARAS</td>\n",
       "      <td>F</td>\n",
       "      <td>1-14-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>23.0</td>\n",
       "      <td>45758</td>\n",
       "      <td>IT</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(43418.0, 46781.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2636</th>\n",
       "      <td>RENEE</td>\n",
       "      <td>ALVINO</td>\n",
       "      <td>F</td>\n",
       "      <td>1-23-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>21.0</td>\n",
       "      <td>47315</td>\n",
       "      <td>Web</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(46781.0, 51401.5]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2637</th>\n",
       "      <td>TERI</td>\n",
       "      <td>ANASTASIO</td>\n",
       "      <td>F</td>\n",
       "      <td>3-17-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>45172</td>\n",
       "      <td>Web</td>\n",
       "      <td>23.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(43418.0, 46781.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2638</th>\n",
       "      <td>GREGORY</td>\n",
       "      <td>ABARCA</td>\n",
       "      <td>M</td>\n",
       "      <td>9-18-2014</td>\n",
       "      <td>01-07-2016</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>24.0</td>\n",
       "      <td>49176</td>\n",
       "      <td>Marketing</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 25]</td>\n",
       "      <td>(46781.0, 51401.5]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2639 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     FIRST NAME    LAST NAME SEX         DOJ CURRENT DATE     DESIGNATION  \\\n",
       "0        TOMASA        ARMEN   F   5-18-2014   01-07-2016         Analyst   \n",
       "1         ANNIE          NaN   F         NaN   01-07-2016       Associate   \n",
       "2         OLIVE         ANCY   F   7-28-2014   01-07-2016         Analyst   \n",
       "3        CHERRY      AQUILAR   F  04-03-2013   01-07-2016         Analyst   \n",
       "4          LEON   ABOULAHOUD   M  11-20-2014   01-07-2016         Analyst   \n",
       "5      VICTORIA          NaN   F   2-19-2013   01-07-2016         Analyst   \n",
       "6        ELLIOT       AGULAR   M  09-02-2013   01-07-2016         Analyst   \n",
       "7       JACQUES        AKMAL   M  12-05-2013   01-07-2016         Analyst   \n",
       "8         KATHY        ALSOP   F   6-29-2014   01-07-2016  Senior Analyst   \n",
       "9        LILIAN        APELA   F  11-11-2014   01-07-2016         Analyst   \n",
       "10        BELLE         ARDS   F  03-10-2014   01-07-2016         Analyst   \n",
       "11       VIRGIL       ACKIES   M  02-01-2010   01-07-2016  Senior Manager   \n",
       "12       WELDON        AIVAO   M  08-01-2013   01-07-2016         Analyst   \n",
       "13         BOYD        AFTON   M   3-22-2013   01-07-2016         Analyst   \n",
       "14         BART    AGUILLERA   M   7-27-2013   01-07-2016         Analyst   \n",
       "15      CORINNE  ANDRZEJCZYK   F   8-13-2014   01-07-2016         Analyst   \n",
       "16       ALONZO       ADSIDE   M   9-16-2013   01-07-2016         Analyst   \n",
       "17        ROYCE       AGOSTO   M  06-07-2014   01-07-2016         Analyst   \n",
       "18       BURTON      AGUILER   M  02-03-2013   01-07-2016         Analyst   \n",
       "19      PHILLIP       ABDULA   M  07-03-2013   01-07-2016         Analyst   \n",
       "20      ORVILLE        ADNEY   M   6-23-2013   01-07-2016         Analyst   \n",
       "21         KORY      ALEGRIA   M  10-11-2013   01-07-2016         Analyst   \n",
       "22       NETTIE      ANDRADA   F  07-11-2014   01-07-2016         Analyst   \n",
       "23        WENDI       APPERT   F  12-02-2013   01-07-2016         Analyst   \n",
       "24        BRENT        ABRIL   M  02-11-2013   01-07-2016         Analyst   \n",
       "25    HARRIETTE    ARMSTRONG   F   1-22-2014   01-07-2016         Analyst   \n",
       "26      GARLAND        AGLER   M  09-07-2014   01-07-2016         Analyst   \n",
       "27      OSWALDO   ALLENBAUGH   M   2-15-2013   01-07-2016         Analyst   \n",
       "28      SEYMOUR        ALBEN   M  12-21-2014   01-07-2016  Senior Analyst   \n",
       "29      ROXANNE       AMRINE   F   3-13-2013   01-07-2016         Analyst   \n",
       "...         ...          ...  ..         ...          ...             ...   \n",
       "2609    ANTONIO        ABEDI   M   6-18-2014   01-07-2016         Analyst   \n",
       "2610     LESSIE     APPLONIE   F  06-09-2013   01-07-2016  Senior Analyst   \n",
       "2611      GERRY        AHSAN   M   7-14-2011   01-07-2016       Associate   \n",
       "2612      MAMIE        AMODT   F   5-29-2013   01-07-2016         Analyst   \n",
       "2613      DINAH     ARHELGER   F  09-01-2013   01-07-2016         Analyst   \n",
       "2614     KELLIE    ANDERBERG   F   2-20-2014   01-07-2016         Analyst   \n",
       "2615       LINA          APE   F  03-07-2014   01-07-2016         Analyst   \n",
       "2616   WINIFRED      ANDRADO   F   4-27-2013   01-07-2016         Analyst   \n",
       "2617     JEANNA     ARENIVAS   F   9-28-2013   01-07-2016         Analyst   \n",
       "2618     HATTIE        AMICO   F  08-12-2013   01-07-2016  Senior Analyst   \n",
       "2619     KENDRA     AMSTRONG   F   5-26-2013   01-07-2016         Analyst   \n",
       "2620      MOLLY       AMIDEI   F  11-28-2013   01-07-2016         Analyst   \n",
       "2621   PATRICIA      ALMETER   F  03-01-2014   01-07-2016         Analyst   \n",
       "2622      AUDRA        ANNON   F  02-06-2014   01-07-2016         Analyst   \n",
       "2623         JC       ALKEMA   M   4-15-2013   01-07-2016         Analyst   \n",
       "2624     JOSPEH        ALLIS   M   2-26-2014   01-07-2016         Analyst   \n",
       "2625    FRANCES     ALQUESTA   F   5-17-2013   01-07-2016         Analyst   \n",
       "2626        LEE       ABERLE   M  12-15-2013   01-07-2016         Analyst   \n",
       "2627      ROBYN      AMSDELL   F  10-01-2014   01-07-2016         Analyst   \n",
       "2628       DREW        ADOLF   M  12-01-2013   01-07-2016         Analyst   \n",
       "2629     RICKIE      AICHELE   M   9-28-2013   01-07-2016         Analyst   \n",
       "2630      ELVIA    APPELGREN   F   5-18-2013   01-07-2016         Analyst   \n",
       "2631      BILLY    ABDELAZIZ   M  06-06-2013   01-07-2016         Analyst   \n",
       "2632    MARLENE        AMAYA   F   9-15-2014   01-07-2016         Analyst   \n",
       "2633      ALENE     ARILDSEN   F   8-20-2014   01-07-2016         Analyst   \n",
       "2634  KATHERINE       ALSDON   F   6-28-2011   01-07-2016  Senior Manager   \n",
       "2635     LOUISE      ALTARAS   F   1-14-2014   01-07-2016         Analyst   \n",
       "2636      RENEE       ALVINO   F   1-23-2014   01-07-2016         Analyst   \n",
       "2637       TERI    ANASTASIO   F   3-17-2014   01-07-2016         Analyst   \n",
       "2638    GREGORY       ABARCA   M   9-18-2014   01-07-2016         Analyst   \n",
       "\n",
       "       AGE  SALARY        UNIT  LEAVES USED  LEAVES REMAINING  RATINGS  \\\n",
       "0     21.0   44570     Finance         24.0               6.0      2.0   \n",
       "1      NaN   89207         Web          NaN              13.0      NaN   \n",
       "2     21.0   40955     Finance         23.0               7.0      3.0   \n",
       "3     22.0   45550          IT         22.0               8.0      3.0   \n",
       "4      NaN   43161  Operations         27.0               3.0      NaN   \n",
       "5     22.0   48736   Marketing         20.0              10.0      4.0   \n",
       "6     22.0   40339   Marketing         19.0              11.0      5.0   \n",
       "7      NaN   40058   Marketing         29.0               1.0      2.0   \n",
       "8     28.0   63478  Operations         20.0              10.0      3.0   \n",
       "9     22.0   43110     Finance         15.0              15.0      3.0   \n",
       "10    24.0   41590   Marketing         22.0               8.0      4.0   \n",
       "11    36.0  160613     Finance          NaN              11.0      2.0   \n",
       "12    24.0   44828     Finance         15.0              15.0      5.0   \n",
       "13    21.0   45830         Web         23.0               7.0      2.0   \n",
       "14    24.0   43457  Management         30.0               0.0      4.0   \n",
       "15    21.0   44812          IT         16.0               NaN      5.0   \n",
       "16    25.0   47636     Finance         27.0               3.0      3.0   \n",
       "17    24.0   48651         Web         27.0               3.0      5.0   \n",
       "18    23.0   40411  Management         21.0               9.0      3.0   \n",
       "19    24.0   44665         Web          NaN              12.0      5.0   \n",
       "20    25.0   46941   Marketing         23.0               7.0      3.0   \n",
       "21    22.0   47734   Marketing         28.0               2.0      5.0   \n",
       "22    23.0   40541  Operations         15.0              15.0      5.0   \n",
       "23    25.0   43920         Web         28.0               NaN      2.0   \n",
       "24    21.0   45832  Management         28.0               2.0      2.0   \n",
       "25    23.0   48102   Marketing         17.0              13.0      2.0   \n",
       "26    21.0   48662  Management         30.0               0.0      5.0   \n",
       "27    25.0   49685  Operations         15.0              15.0      2.0   \n",
       "28    25.0   57488  Operations         25.0               5.0      3.0   \n",
       "29    21.0   45410   Marketing         29.0               1.0      2.0   \n",
       "...    ...     ...         ...          ...               ...      ...   \n",
       "2609  22.0   43228  Management         25.0               5.0      4.0   \n",
       "2610  25.0   52370  Operations         24.0               6.0      5.0   \n",
       "2611  32.0   94345  Management         17.0              13.0      4.0   \n",
       "2612  21.0   46432  Operations         30.0               0.0      4.0   \n",
       "2613  24.0   44599          IT         22.0               8.0      2.0   \n",
       "2614  22.0   42418   Marketing         20.0              10.0      3.0   \n",
       "2615  21.0   41498         Web         21.0               9.0      5.0   \n",
       "2616  22.0   41515     Finance         25.0               5.0      5.0   \n",
       "2617  25.0   48541  Operations         24.0               6.0      2.0   \n",
       "2618  26.0   66661     Finance         30.0               0.0      5.0   \n",
       "2619  22.0   44676  Operations         15.0              15.0      3.0   \n",
       "2620  21.0   41378     Finance         21.0               9.0      5.0   \n",
       "2621  22.0   42369          IT         18.0              12.0      4.0   \n",
       "2622  22.0   42662     Finance         29.0               1.0      3.0   \n",
       "2623  22.0   41760     Finance         21.0               9.0      2.0   \n",
       "2624  22.0   45364         Web         20.0              10.0      2.0   \n",
       "2625  21.0   49892     Finance         28.0               2.0      4.0   \n",
       "2626  22.0   49617   Marketing         16.0              14.0      5.0   \n",
       "2627  23.0   42877  Operations         21.0               9.0      2.0   \n",
       "2628  21.0   48866     Finance         20.0              10.0      3.0   \n",
       "2629  25.0   47849          IT         22.0               8.0      2.0   \n",
       "2630  24.0   44424          IT         25.0               5.0      2.0   \n",
       "2631  25.0   43884     Finance         23.0               7.0      4.0   \n",
       "2632  22.0   43835  Management         26.0               4.0      4.0   \n",
       "2633  24.0   40277         Web         17.0              13.0      4.0   \n",
       "2634  36.0  185977  Management         15.0              15.0      5.0   \n",
       "2635  23.0   45758          IT         17.0              13.0      2.0   \n",
       "2636  21.0   47315         Web         29.0               1.0      5.0   \n",
       "2637  24.0   45172         Web         23.0               7.0      3.0   \n",
       "2638  24.0   49176   Marketing         17.0              13.0      2.0   \n",
       "\n",
       "      PAST EXP BINS  AGE_BINS          quant_salary  \n",
       "0            0  NaN  (20, 25]    (43418.0, 46781.0]  \n",
       "1            7  NaN       NaN   (51401.5, 388112.0]  \n",
       "2            0  NaN  (20, 25]  (40000.999, 43418.0]  \n",
       "3            0  NaN  (20, 25]    (43418.0, 46781.0]  \n",
       "4            3  NaN       NaN  (40000.999, 43418.0]  \n",
       "5            0  NaN  (20, 25]    (46781.0, 51401.5]  \n",
       "6            0  NaN  (20, 25]  (40000.999, 43418.0]  \n",
       "7            2  NaN       NaN  (40000.999, 43418.0]  \n",
       "8            1  NaN  (25, 30]   (51401.5, 388112.0]  \n",
       "9            0  NaN  (20, 25]  (40000.999, 43418.0]  \n",
       "10           1  NaN  (20, 25]  (40000.999, 43418.0]  \n",
       "11           9  NaN  (30, 40]   (51401.5, 388112.0]  \n",
       "12           1  NaN  (20, 25]    (43418.0, 46781.0]  \n",
       "13           0  NaN  (20, 25]    (43418.0, 46781.0]  \n",
       "14           1  NaN  (20, 25]    (43418.0, 46781.0]  \n",
       "15           0  NaN  (20, 25]    (43418.0, 46781.0]  \n",
       "16           2  NaN  (20, 25]    (46781.0, 51401.5]  \n",
       "17           1  NaN  (20, 25]    (46781.0, 51401.5]  \n",
       "18           0  NaN  (20, 25]  (40000.999, 43418.0]  \n",
       "19           0  NaN  (20, 25]    (43418.0, 46781.0]  \n",
       "20           1  NaN  (20, 25]    (46781.0, 51401.5]  \n",
       "21           0  NaN  (20, 25]    (46781.0, 51401.5]  \n",
       "22           1  NaN  (20, 25]  (40000.999, 43418.0]  \n",
       "23           2  NaN  (20, 25]    (43418.0, 46781.0]  \n",
       "24           0  NaN  (20, 25]    (43418.0, 46781.0]  \n",
       "25           0  NaN  (20, 25]    (46781.0, 51401.5]  \n",
       "26           0  NaN  (20, 25]    (46781.0, 51401.5]  \n",
       "27           1  NaN  (20, 25]    (46781.0, 51401.5]  \n",
       "28           0  NaN  (20, 25]   (51401.5, 388112.0]  \n",
       "29           0  NaN  (20, 25]    (43418.0, 46781.0]  \n",
       "...        ...  ...       ...                   ...  \n",
       "2609         0  NaN  (20, 25]  (40000.999, 43418.0]  \n",
       "2610         0  NaN  (20, 25]   (51401.5, 388112.0]  \n",
       "2611         5  NaN  (30, 40]   (51401.5, 388112.0]  \n",
       "2612         0  NaN  (20, 25]    (43418.0, 46781.0]  \n",
       "2613         1  NaN  (20, 25]    (43418.0, 46781.0]  \n",
       "2614         0  NaN  (20, 25]  (40000.999, 43418.0]  \n",
       "2615         0  NaN  (20, 25]  (40000.999, 43418.0]  \n",
       "2616         0  NaN  (20, 25]  (40000.999, 43418.0]  \n",
       "2617         2  NaN  (20, 25]    (46781.0, 51401.5]  \n",
       "2618         2  NaN  (25, 30]   (51401.5, 388112.0]  \n",
       "2619         0  NaN  (20, 25]    (43418.0, 46781.0]  \n",
       "2620         0  NaN  (20, 25]  (40000.999, 43418.0]  \n",
       "2621         0  NaN  (20, 25]  (40000.999, 43418.0]  \n",
       "2622         0  NaN  (20, 25]  (40000.999, 43418.0]  \n",
       "2623         0  NaN  (20, 25]  (40000.999, 43418.0]  \n",
       "2624         0  NaN  (20, 25]    (43418.0, 46781.0]  \n",
       "2625         0  NaN  (20, 25]    (46781.0, 51401.5]  \n",
       "2626         0  NaN  (20, 25]    (46781.0, 51401.5]  \n",
       "2627         1  NaN  (20, 25]  (40000.999, 43418.0]  \n",
       "2628         0  NaN  (20, 25]    (46781.0, 51401.5]  \n",
       "2629         2  NaN  (20, 25]    (46781.0, 51401.5]  \n",
       "2630         0  NaN  (20, 25]    (43418.0, 46781.0]  \n",
       "2631         1  NaN  (20, 25]    (43418.0, 46781.0]  \n",
       "2632         0  NaN  (20, 25]    (43418.0, 46781.0]  \n",
       "2633         2  NaN  (20, 25]  (40000.999, 43418.0]  \n",
       "2634        10  NaN  (30, 40]   (51401.5, 388112.0]  \n",
       "2635         0  NaN  (20, 25]    (43418.0, 46781.0]  \n",
       "2636         0  NaN  (20, 25]    (46781.0, 51401.5]  \n",
       "2637         1  NaN  (20, 25]    (43418.0, 46781.0]  \n",
       "2638         2  NaN  (20, 25]    (46781.0, 51401.5]  \n",
       "\n",
       "[2639 rows x 16 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# pd.qcut [0, .25, .5, .75, 1.] 0- 25% - Q1 | 25- 50 - Q2 | 50 - 75 - Q3 | 75- 100 - q4\n",
    "\n",
    "hr2[\"quant_salary\"]= pd.qcut(hr2.SALARY, [0, .25, .5, .75, 1.])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create the 10 groups and 4 groups in the data\n",
    "\n",
    "hr2['Deciles'] = pd.qcut(hr2['SALARY'], 10, labels = False)\n",
    "hr2['Quartiles'] = pd.qcut(hr2['SALARY'], 4, labels = False)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    False\n",
       "1     True\n",
       "2     True\n",
       "3     True\n",
       "4    False\n",
       "5    False\n",
       "6    False\n",
       "7     True\n",
       "8     True\n",
       "9    False\n",
       "Name: Student, dtype: bool"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## 3 Duplicates\n",
    "# 1- Entire Duplicate record\n",
    "# 2- removing the duplicates based on keys [one or more then one variables]\n",
    "\n",
    "# Task 1 = from the HR data, remove the duplicates based on Designation\n",
    "____________________________________________________________________________________________________________\n",
    "# Task 2 = remove the duplicates based on Gender and then Designation | LIST has to be passed for duplicates() function\n",
    "\n",
    "\n",
    "df_dup.Student.duplicated(keep='last')\n",
    "#_____________________________________________________________________________________________________\n",
    "# Task3 - Using the Sample Super Store Dataset: (not using : groupby)\n",
    "     # I want to have a new dataset having the Maximum Sales and Minimum Sales of Each Segment\n",
    "    \n",
    "#     sort > Segment > Sales > Min Sales will be at the top > Max sales will be at the bottom\n",
    "#     (keep='first') >> MIN SALES\n",
    "#     (keep='last') >> MAX SALES\n",
    "#     Add the two files | Concat column wise\n",
    "    \n",
    "#  Segment |  Min_Sales | Max_Sales   \n",
    "            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_dup = pd.read_csv(\"C:\\\\Users\\\\aagarwal\\\\Desktop\\\\DataSetsR\\\\score.csv\")\n",
    "\n",
    "#df_dup.duplicated()\n",
    "# hr2.duplicated()\n",
    "\n",
    "df = df_dup.drop_duplicates()\n",
    "\n",
    "#df_dup = df_dup.drop_duplicates()\n",
    "#df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Inferential Statistics: \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Hypothesis Testing:\n",
    "\n",
    "# Z Test - to compare the two different Groups| Samples| Variables based on there mean | when Sample > 30 | STD of Pop is KNOWN\n",
    "\n",
    "# T Test - to compare the two different Groups| Samples| Variables based on there mean | when Sample < 30 | STD of Pop is UNKNOWN\n",
    "# Paired Sample : Same Group is sample twice\n",
    "# Independent Sample : Two Different Groups are sampled \n",
    "# One Sample T Test : Population mean is compared with one group[sample] mean\n",
    "    \n",
    "# Chi Square Test - to compare the relation [ if one categorical variable is impacted/ influenced by another categorical variable]\n",
    "# Anova - Analysis of Variance | Compare more then two groups but based on VAriance "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Using the STat_input file:\n",
    "# ________________\n",
    "# Q1 - find if the spending behavoir of males is different then females ? Independent Sample T TEST | Akshay\n",
    "# Q2 - find if there is a change in the spedning before marriage and afer marriage ? Hint : Paired T TESt | "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Solution:\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import scipy.stats as stats\n",
    "import math\n",
    "spend = pd.read_csv(\"C:\\\\Users\\\\aagarwal\\\\Desktop\\\\DataSetsR\\\\Stat_Test_Input.csv\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>IDs</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Spending_Before_Marriage</th>\n",
       "      <th>Spending_after_Marriage</th>\n",
       "      <th>Affluency</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1100</td>\n",
       "      <td>1</td>\n",
       "      <td>35</td>\n",
       "      <td>46</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1035</td>\n",
       "      <td>0</td>\n",
       "      <td>37</td>\n",
       "      <td>39</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    IDs  Gender  Spending_Before_Marriage  Spending_after_Marriage  Affluency\n",
       "0  1100       1                        35                       46          2\n",
       "1  1035       0                        37                       39          3"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spend.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Q1 - find if the spending behavoir of males is different then females ? \n",
    "           # Independent Sample T TEST | Akshay\n",
    "\n",
    "# Null Hypothesis: Equality | Mean of S1 = Mean of S2\n",
    "               # The spending of male and female is same\n",
    "    \n",
    "Males_Spending = spend.Spending_Before_Marriage[spend.Gender==0]  \n",
    "Females_Spending = spend.Spending_Before_Marriage[spend.Gender==1] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(148,)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spend.columns\n",
    "\n",
    "Females_Spending.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "37.71621621621622\n",
      "35.562913907284766\n",
      "36.62876254180602\n",
      "40.070234113712374\n"
     ]
    }
   ],
   "source": [
    "print(Females_Spending.mean())# 35.195945945945944\n",
    "print(Males_Spending.mean()) # 35.562913907284766\n",
    "\n",
    "\n",
    "print(spend.Spending_Before_Marriage.mean())\n",
    "print(spend.Spending_after_Marriage.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ttest_indResult(statistic=-2.074143865377492, pvalue=0.03892731792383138)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Independent Sample T TEst:\n",
    "stats.ttest_ind(a=Males_Spending,\n",
    "                b=Females_Spending)\n",
    "\n",
    "# pvalue=0.03892731792383138 [ P is lower then 0.05 then Null will GO - Reject]\n",
    "# Conclusion : Spending of Female is different Then Males"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q2 : # Q2 - find if there is a change in the spedning before marriage and afer marriage ? Hint : Paired T TESt "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ttest_relResult(statistic=-5.380724796590205, pvalue=1.5036002343854017e-07)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# NULL - Mean of Spend Before Marriage = mean of Spend after marriage\n",
    "\n",
    "stats.ttest_rel(a=spend.Spending_Before_Marriage,\n",
    "               b=spend.Spending_after_Marriage)\n",
    "\n",
    "# pvalue=1.5036002343854017e-07 | P is low (lower then 0.05) | Reject the N0\n",
    "# Conclusion | The spending before and after marriage is different\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Task: Using the Sample Super Store Data:\n",
    "#_____________________________________________________________________________________\n",
    "# Q1 : IS the Category Variable independent of Region VAriable | Hint : Chi Square \n",
    "           # IS Region Influencing | impacting the sales of Categories \n",
    "     # Test of Independence:\n",
    "        \n",
    "      #NULL : The Categories are not influenced by REGION*  \n",
    "#___________________________________________________________________________________        \n",
    "# Q2: IS the Profit has been improved from the last year (2013) with the mean of 23 \n",
    "             # Hint : One Sample T-Test\n",
    "#________________________________________________________________________________________    \n",
    " # Q3 : Is the Sales of all the segments are different or same | Hint: ANOVA \n",
    "   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Row ID', 'Order ID', 'Order Date', 'Ship Date', 'Ship Mode',\n",
       "       'Customer ID', 'Customer Name', 'Segment', 'Country', 'City', 'State',\n",
       "       'Postal Code', 'Region', 'Product ID', 'Category', 'Sub-Category',\n",
       "       'Product Name', 'Sales', 'Quantity', 'Discount', 'Profit'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# This is going to be the the Chi square Test: Test of independence:\n",
    "\n",
    " #NULL : The Sales of Categories are not influenced by REGION*  \n",
    "    # Alpha is 5%\n",
    "    \n",
    "SS = pd.read_excel(\"C:\\\\Users\\\\aagarwal\\\\Desktop\\\\DataSetsR\\\\Sample - Superstore.xls\")  \n",
    "\n",
    "SS.head(2)\n",
    "SS.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Chi Square Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>Region</th>\n",
       "      <th>Central</th>\n",
       "      <th>East</th>\n",
       "      <th>South</th>\n",
       "      <th>West</th>\n",
       "      <th>All</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Category</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Furniture</th>\n",
       "      <td>481</td>\n",
       "      <td>601</td>\n",
       "      <td>332</td>\n",
       "      <td>707</td>\n",
       "      <td>2121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Office Supplies</th>\n",
       "      <td>1422</td>\n",
       "      <td>1712</td>\n",
       "      <td>995</td>\n",
       "      <td>1897</td>\n",
       "      <td>6026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Technology</th>\n",
       "      <td>420</td>\n",
       "      <td>535</td>\n",
       "      <td>293</td>\n",
       "      <td>599</td>\n",
       "      <td>1847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>All</th>\n",
       "      <td>2323</td>\n",
       "      <td>2848</td>\n",
       "      <td>1620</td>\n",
       "      <td>3203</td>\n",
       "      <td>9994</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Region           Central  East  South  West   All\n",
       "Category                                         \n",
       "Furniture            481   601    332   707  2121\n",
       "Office Supplies     1422  1712    995  1897  6026\n",
       "Technology           420   535    293   599  1847\n",
       "All                 2323  2848   1620  3203  9994"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# tbl = pd.crosstab(SS.Category, SS.Region) # Observed\n",
    "\n",
    "tbl = pd.crosstab(SS.Category, SS.Region, margins=True)\n",
    "tbl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "stats.chi2_contingency?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3.661930938326572,\n",
       " 0.9887935824497435,\n",
       " 12,\n",
       " array([[ 493.00410246,  604.42345407,  343.80828497,  679.7641585 ,\n",
       "         2121.        ],\n",
       "        [1400.68020812, 1717.23514108,  976.79807885, 1931.28657194,\n",
       "         6026.        ],\n",
       "        [ 429.31568941,  526.34140484,  299.39363618,  591.94926956,\n",
       "         1847.        ],\n",
       "        [2323.        , 2848.        , 1620.        , 3203.        ,\n",
       "         9994.        ]]))"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.chi2_contingency(observed=tbl)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Predictive Modeling \n",
    "\n",
    "*What is Modeling<br>\n",
    "We are going to create a model with the help of which we can predict the future values"
   ]
  }
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