RUFUS_SAM_JOHN_IMMANVEL_J.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sb\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(10683, 11)\n"
     ]
    },
    {
     "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>Airline</th>\n",
       "      <th>Date_of_Journey</th>\n",
       "      <th>Source</th>\n",
       "      <th>Destination</th>\n",
       "      <th>Route</th>\n",
       "      <th>Dep_Time</th>\n",
       "      <th>Arrival_Time</th>\n",
       "      <th>Duration(minutes)</th>\n",
       "      <th>Total_Stops</th>\n",
       "      <th>Additional_Info</th>\n",
       "      <th>Price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>24/03/2019</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>22:20</td>\n",
       "      <td>01:10 22 Mar</td>\n",
       "      <td>170</td>\n",
       "      <td>0</td>\n",
       "      <td>No info</td>\n",
       "      <td>3897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Air India</td>\n",
       "      <td>1/05/2019</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → IXR → BBI → BLR</td>\n",
       "      <td>05:50</td>\n",
       "      <td>13:15</td>\n",
       "      <td>445</td>\n",
       "      <td>2</td>\n",
       "      <td>No info</td>\n",
       "      <td>7662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>9/06/2019</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → LKO → BOM → COK</td>\n",
       "      <td>09:25</td>\n",
       "      <td>04:25 10 Jun</td>\n",
       "      <td>1140</td>\n",
       "      <td>2</td>\n",
       "      <td>No info</td>\n",
       "      <td>13882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>12/05/2019</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → NAG → BLR</td>\n",
       "      <td>18:05</td>\n",
       "      <td>23:30</td>\n",
       "      <td>325</td>\n",
       "      <td>1</td>\n",
       "      <td>No info</td>\n",
       "      <td>6218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>01/03/2019</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → NAG → DEL</td>\n",
       "      <td>16:50</td>\n",
       "      <td>21:35</td>\n",
       "      <td>285</td>\n",
       "      <td>1</td>\n",
       "      <td>No info</td>\n",
       "      <td>13302</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Airline Date_of_Journey    Source Destination                  Route  \\\n",
       "0       IndiGo      24/03/2019  Banglore   New Delhi              BLR → DEL   \n",
       "1    Air India       1/05/2019   Kolkata    Banglore  CCU → IXR → BBI → BLR   \n",
       "2  Jet Airways       9/06/2019     Delhi      Cochin  DEL → LKO → BOM → COK   \n",
       "3       IndiGo      12/05/2019   Kolkata    Banglore        CCU → NAG → BLR   \n",
       "4       IndiGo      01/03/2019  Banglore   New Delhi        BLR → NAG → DEL   \n",
       "\n",
       "  Dep_Time  Arrival_Time  Duration(minutes) Total_Stops Additional_Info  Price  \n",
       "0    22:20  01:10 22 Mar                170           0         No info   3897  \n",
       "1    05:50         13:15                445           2         No info   7662  \n",
       "2    09:25  04:25 10 Jun               1140           2         No info  13882  \n",
       "3    18:05         23:30                325           1         No info   6218  \n",
       "4    16:50         21:35                285           1         No info  13302  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flights = pd.read_csv('flights_data.csv')\n",
    "print(flights.shape)\n",
    "flights.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Source')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# bar charts\n",
    "sb.countplot(data = flights, x = 'Source')\n",
    "# plt.xticks(rotation = 30)\n",
    "plt.ylabel('Number of Flights', fontsize=12)\n",
    "plt.xlabel('Source', fontsize = 12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([0, 1, 2, 3, 4]),\n",
       " [Text(0, 0, 'Banglore'),\n",
       "  Text(1, 0, 'Kolkata'),\n",
       "  Text(2, 0, 'Delhi'),\n",
       "  Text(3, 0, 'Chennai'),\n",
       "  Text(4, 0, 'Mumbai')])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# just changing color\n",
    "\n",
    "base_color = sb.color_palette()[0]\n",
    "sb.countplot(data = flights, x = 'Source', color = base_color)\n",
    "plt.xticks(rotation = 30)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Source', ylabel='count'>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# sorting in descending order\n",
    "\n",
    "base_color = sb.color_palette()[1]\n",
    "gen_order = flights['Source'].value_counts().index\n",
    "sb.countplot(data = flights, x = 'Source', color = base_color, order = gen_order)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Airline', ylabel='count'>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# we are arranging x axis labels\n",
    "\n",
    "base_color = sb.color_palette()[2]\n",
    "sb.countplot(data = flights, x = 'Airline', color = base_color)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11]),\n",
       " [Text(0, 0, 'IndiGo'),\n",
       "  Text(1, 0, 'Air India'),\n",
       "  Text(2, 0, 'Jet Airways'),\n",
       "  Text(3, 0, 'SpiceJet'),\n",
       "  Text(4, 0, 'Multiple carriers'),\n",
       "  Text(5, 0, 'GoAir'),\n",
       "  Text(6, 0, 'Vistara'),\n",
       "  Text(7, 0, 'Air Asia'),\n",
       "  Text(8, 0, 'Vistara Premium economy'),\n",
       "  Text(9, 0, 'Jet Airways Business'),\n",
       "  Text(10, 0, 'Multiple carriers Premium economy'),\n",
       "  Text(11, 0, 'Trujet')])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# rotating them to 90 degrees\n",
    "\n",
    "base_color = sb.color_palette()[2]\n",
    "sb.countplot(data = flights, x = 'Airline', color = base_color)\n",
    "plt.xticks(rotation = 90)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='count', ylabel='Airline'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# putting the same data on y-axis\n",
    "\n",
    "base_color = sb.color_palette()[2]\n",
    "sb.countplot(data = flights, y = 'Airline', color = base_color)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Airline               0\n",
       "Date_of_Journey       0\n",
       "Source                0\n",
       "Destination           0\n",
       "Route                16\n",
       "Dep_Time              0\n",
       "Arrival_Time          0\n",
       "Duration(minutes)     0\n",
       "Total_Stops          27\n",
       "Additional_Info       0\n",
       "Price                 0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Count Missing Data :\n",
    "\n",
    "flights.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\rehop\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of Missing Values')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# calculating \n",
    "\n",
    "na_counts = flights.isna().sum()\n",
    "base_color = sb.color_palette()[0]\n",
    "sb.barplot(na_counts.index.values, na_counts, color = base_color)\n",
    "plt.xticks(rotation = 90)\n",
    "plt.ylabel('Number of Missing Values', fontsize = 12)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, \"Flight Destination's\")"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Pie Chart\n",
    "\n",
    "sorted_counts = flights['Destination'].value_counts()\n",
    "plt.pie(sorted_counts, labels = sorted_counts.index, startangle = 90, counterclock = False)\n",
    "plt.axis('square')\n",
    "plt.title('Flight Destination\\'s')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-1.1032616093291103,\n",
       " 1.1260756239554317,\n",
       " -1.106196680247508,\n",
       " 1.123140553037034)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# donut chart\n",
    "\n",
    "sorted_counts = flights['Destination'].value_counts()\n",
    "plt.pie(sorted_counts, labels = sorted_counts.index, startangle = 90, counterclock = False, wedgeprops = {'width' : 0.4})\n",
    "plt.axis('square')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([4.198e+03, 1.988e+03, 1.720e+03, 7.870e+02, 9.310e+02, 8.450e+02,\n",
       "        1.320e+02, 7.000e+01, 1.000e+01, 2.000e+00]),\n",
       " array([  75. ,  353.5,  632. ,  910.5, 1189. , 1467.5, 1746. , 2024.5,\n",
       "        2303. , 2581.5, 2860. ]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Histograms:\n",
    "\n",
    "plt.hist(data = flights, x = 'Duration(minutes)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 247., 1218., 1350., 1123., 1228.,  769.,  964.,  832.,  886.,\n",
       "         789.,  735.,  195.,  109.,   76.,   18.,   27.,   24.,   10.,\n",
       "          15.,   68.]),\n",
       " array([ 1759.  ,  3021.05,  4283.1 ,  5545.15,  6807.2 ,  8069.25,\n",
       "         9331.3 , 10593.35, 11855.4 , 13117.45, 14379.5 , 15641.55,\n",
       "        16903.6 , 18165.65, 19427.7 , 20689.75, 21951.8 , 23213.85,\n",
       "        24475.9 , 25737.95, 27000.  ]),\n",
       " <BarContainer object of 20 artists>)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(data = flights, x = 'Price', bins = 20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# incrementing by 1200\n",
    "\n",
    "bins = np.arange(0,flights['Price'].max()+1,1200)\n",
    "plt.hist(data = flights, x = 'Price', bins = bins)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\rehop\\anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Price', ylabel='Density'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.distplot(flights['Price'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\rehop\\anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Price'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.distplot(flights['Price'], kde = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Price'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bin_edges = np.arange(0,flights['Price'].max()+1,1200)\n",
    "sb.distplot(flights['Price'], bins = bin_edges, kde = False, hist_kws = {'alpha' : 1}) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}