Level_1_Task_4.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1e83c926-7dee-4aa2-9bbf-cacaa6cc4788",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "df=pd.read_csv('Dataset.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ce2e91df-55b0-4a7c-9bde-b01feb2c28cc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Restaurant ID', 'Restaurant Name', 'Country Code', 'City', 'Address',\n",
      "       'Locality', 'Locality Verbose', 'Longitude', 'Latitude', 'Cuisines',\n",
      "       'Average Cost for two', 'Currency', 'Has Table booking',\n",
      "       'Has Online delivery', 'Is delivering now', 'Switch to order menu',\n",
      "       'Price range', 'Aggregate rating', 'Rating color', 'Rating text',\n",
      "       'Votes'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(df.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6dcdcf35-d72e-4c53-beba-2fd3f4cc0a46",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Determine the percentage of restaurants that offer online delivery."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9b6d7449-da06-4790-85f1-a184052bbebe",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total restaurant with online delivery : 2451\n"
     ]
    }
   ],
   "source": [
    "online_delivery = df['Has Online delivery'].value_counts().get('Yes', 0)\n",
    "print('Total restaurant with online delivery :',online_delivery)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ce3a1b37-e40a-4acc-9996-d7d214fe6f9d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total restaurant with online delivery : 7100\n"
     ]
    }
   ],
   "source": [
    " no = df['Has Online delivery'].value_counts().get('No', 0)\n",
    "print('Total restaurant with online delivery :',no)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c53d07e1-f269-4d14-8443-890f24e8a2dc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total % of online delivery : 25.66\n"
     ]
    }
   ],
   "source": [
    "row_count=len(df)\n",
    "percentage_of_online_delivery=round((online_delivery/row_count)*100,2)\n",
    "print('Total % of online delivery :', percentage_of_online_delivery)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "33ee6f5b-c10a-4821-8534-5c84a663a24a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total % of Offline Delivery : 74.34\n"
     ]
    }
   ],
   "source": [
    "percentage_of_offline_delivery = round((no/row_count)*100,2)\n",
    "print('Total % of Offline Delivery :', percentage_of_offline_delivery)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e4ff92d5-30ca-4aeb-9a13-deab20e06b91",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Compare the average ratings of restaurants with and without online delivery."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "dd4f786e-79ec-44a5-8498-8b3dbc89ff98",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average rating with online delivery: 3.25\n"
     ]
    }
   ],
   "source": [
    "avg_rating_yes= round(df[df['Has Online delivery']=='Yes']['Aggregate rating'].mean(),2)\n",
    "print('Average rating with online delivery:', avg_rating_yes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "00cb2849-94be-4786-88d4-89be88603251",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average rating without online delivery: 2.47\n"
     ]
    }
   ],
   "source": [
    "avg_rating_No= round(df[df['Has Online delivery']=='No']['Aggregate rating'].mean(),2)\n",
    "print('Average rating without online delivery:', avg_rating_No)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "cf459bd9-ef60-4582-835e-cd084cf069b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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5Of9KZbaerIqNjVXr1q0d4ylKlizpGE9yZb9169ZNBw8edFxL37Nnj9avX+84aErSrl27ZIxRpUqVVLJkSaefHTt2OAadpilbtqzTh1aabdu2qXPnzvL395efn59KlizpOGCm1ZS2vRUrVnR6r4eHR7rLLLt27dK2bdvS1VS5cmVJSldXRnJSa3Z4eXmlu5x49X6yf/9+lSlTJt0l16v7xG6369VXX9WiRYtUqlQp3XHHHXrttdd09OjRa9aQ1seZ/a6fOHEiWwNMc3r8SAuvrgQ1V5bn6n58pePHj+vChQsZHrOu3uacrCcjbdu2lb+/v2bPnu2YNnv2bNWpU8exr+/evVvGGI0YMSLdOtPurrx6vRkdK6tWrar69etr1qxZjmmzZs1Sw4YN0+1/VsWYG2R6hiSz6eaqgbhZ8eSTT2r69OkaPHiwGjVqJH9/f9lsNnXv3l2pqanp2l/5F3dmbDab5s6dqzVr1uibb77R4sWL9dBDD2nChAlas2bNdcdNZCQ3tzmn9uzZo1atWqlq1ap68803FRoaKk9PT33//feaOHGiU7917NhRRYsW1Zw5c9S4cWPNmTNHbm5u6tKli6NNamqqbDabFi1alOF2Xt1fGf0fnDlzRs2bN5efn5/GjBmjiIgIeXl5acOGDXruuecy/L+8ntTUVNWqVUtvvvlmhvOvDtkZuVG1psntu6cGDx6sjh07KiYmRosXL9aIESM0fvx4LVu2THXr1s3VdeW23P6dud7yXN2Psyu312O32xUdHa0FCxbovffe07FjxxQbG6tx48Y5rVOShg4dmu5MUpqrw0lmx8pevXrpqaee0qFDh5SUlKQ1a9bonXfecanmmxnh5iZSsmRJ+fn5OY2qz0hYWJh27tyZbnraafjcfnjXrl270k3766+/VLRoUcdft3PnzlXv3r01YcIER5uLFy/qzJkzOV5/w4YN1bBhQ40dO1aff/65evbsqS+//FL9+/dXWFiYli5dqrNnzzqdvcntvggLC9Mff/yh1NRUp7M3OVnPN998o6SkJH399ddOf81mdDrcx8dHd911l7766iu9+eabmj17tpo1a6aQkBBHm4iICBljFB4e7vhL0VUrVqzQyZMnNX/+fN1xxx2O6Xv37nVql7a9u3fv1n/+8x/H9OTkZO3bt0+1a9d2qmvz5s1q1apVrt7mn9VaJeXJ4wXCwsK0fPlynT9/3unsTWZ3EkVERGjIkCEaMmSIdu3apTp16mjChAn67LPPMl2+pEx/14OCguTj45Otum/k8cNVOdmPS5YsKW9v7wyPWVdvc278vlytW7dumjlzpn766Sft2LFDxhins6tpdz0WKVJErVu3ztG6unfvrmeeeUZffPGF41lNV67L6rgsdRNxc3NTdHS0vvnmG61bty7d/LS/bNq3b6/ffvvN6Xa/c+fO6YMPPlD58uVVvXr1XK1r9erVTuNmDh48qIULF6pNmzaOv3jc3d3T/SU3efLkDG8fzqrTp0+nW2adOnUkyXFpqn379kpJSUn3F8vEiRNls9nUrl27bK//Su3bt9fRo0edTjknJydr8uTJ8vX1TXeHRFak9d2V2xgfH6/p06dn2L5bt276559/9OGHH2rz5s3pDmT33HOP3N3dNXr06HT9ZozRyZMns1XTpUuX9N577zm1u+2221SiRAlNmzbNaYzWrFmz0l2u6Nq1qw4fPqxp06alW9+FCxey/eyOrNYq/RsOc3KZKiNRUVG6fPmy03alpqbq3XffdWp3/vx5Xbx40WlaRESEihUrds1b4cuUKaM6depo5syZTn8kbN26VT/++KPat2+frbpv9PHDVTnZj93d3RUVFaWYmBgdOHDAMX3Hjh1avHhxrq0nM61bt1bx4sU1e/ZszZ49Ww0aNHC6rBQcHKwWLVpo6tSpOnLkSLr3p13mz4qgoCC1a9dOn332mWbNmqW2bdsqKCjI5ZpvVpy5ucmMGzdOP/74o5o3b+64bfbIkSP66quvtGrVKgUEBGjYsGH64osv1K5dOw0aNEjFixfXzJkztXfvXs2bNy/duJCcqlmzpqKiopxuBZek0aNHO9rcdddd+vTTT+Xv76/q1atr9erVWrp06TVvr76emTNn6r333lPnzp0VERGhs2fPatq0afLz83Mc2Dt27Kj//Oc/ev7557Vv3z7deuut+vHHH7Vw4UINHjzYafBwTjzyyCOaOnWq+vTpo/Xr16t8+fKaO3euYmNjNWnSpHRjfrKiTZs28vT0VMeOHfXoo48qMTFR06ZNU3BwcIYHvvbt26tYsWIaOnSo3N3dde+99zrNj4iI0Msvv6zhw4c7bssuVqyY9u7dqwULFuiRRx7R0KFDr1lT48aNFRgYqN69e2vQoEGy2Wz69NNP0x38PT09NWrUKD355JNq2bKlunbtqn379mnGjBmKiIhwOlPy4IMPas6cOXrssce0fPlyNWnSRCkpKfrzzz81Z84cLV68OMMB9NeT1VolKTIyUrNnz9Yzzzyj+vXry9fXVx07dnR5nVeKjo5WgwYNNGTIEO3evVtVq1bV119/rVOnTkn639miv/76S61atVLXrl1VvXp1eXh4aMGCBTp27Ji6d+9+zXW8/vrrateunRo1aqR+/fo5bgX39/fP9vca3ejjh6tyuh+PHj1aP/zwg5o1a6YnnnjC8UdIjRo19Mcff+TaejJSpEgR3XPPPfryyy917tw5vfHGG+navPvuu2ratKlq1aqlhx9+WBUqVNCxY8e0evVqHTp0SJs3b87y+nr16qX77rtPkvTSSy+5VOtN74bck4VctX//ftOrVy9TsmRJY7fbTYUKFcyAAQOcbsfcs2ePue+++0xAQIDx8vIyDRo0MN9++63TcjK7PTTtFsOrb7FOu1Xz+PHjjmmSzIABA8xnn31mKlWqZOx2u6lbt65Zvny503tPnz5t+vbta4KCgoyvr6+Jiooyf/75pwkLCzO9e/e+7rqvnJd2K/iGDRtMjx49zC233GLsdrsJDg42d911l9Nt6cb8exvr008/bUJCQkyRIkVMpUqVzOuvv+64df7qbbna1TVm5tixY45t9PT0NLVq1XK6hfjK5WX1VvCvv/7a1K5d23h5eZny5cubV1991Xz88cdO/XClnj17GkmmdevWmS5z3rx5pmnTpsbHx8f4+PiYqlWrmgEDBpidO3c62jRv3tzUqFEjw/fHxsaahg0bGm9vbxMSEmKeffZZs3jxYiMp3f/722+/bcLCwozdbjcNGjQwsbGxJjIy0rRt29ap3aVLl8yrr75qatSoYex2uwkMDDSRkZFm9OjRJj4+/pp9lBu1JiYmmvvvv98EBAQYSY7bejO7FdzHxyfdutJ+P650/Phxc//995tixYoZf39/06dPHxMbG2skmS+//NIYY8yJEyfMgAEDTNWqVY2Pj4/x9/c3t99+u5kzZ841tzvN0qVLTZMmTYy3t7fx8/MzHTt2NNu3b3dq48qt4Mbk7PiRWZ9l9VbwK48vxqT/vU+Tlf04MytXrjSRkZHG09PTVKhQwbz//vsZ/v9ldT1Z2b40S5YsMZKMzWYzBw8ezLC+PXv2mF69epnSpUubIkWKmLJly5q77rrLzJ07N12/XOtRGElJSSYwMND4+/ubCxcuXKdXrMVmTD6MlIRl2Gw2DRgwoFANVEP2paamqmTJkrrnnnsyvAxVGMTExKhz585atWqVmjRpkt/lwMKSk5MVEhKijh076qOPPsrvcm4oxtwAyBMXL15Mdwnok08+0alTp677+H+ruHDhgtPrlJQUTZ48WX5+fqpXr14+VYXCIiYmRsePH1evXr3yu5QbjjE3APLEmjVr9PTTT6tLly4qUaKENmzYoI8++kg1a9Z0ukXdyp588klduHBBjRo1UlJSkubPn69ff/1V48aNy9LjDoDsWLt2rf744w+99NJLqlu3brZuaLjZEW4A5Iny5csrNDRUb7/9tk6dOqXixYurV69eeuWVVzJ84J4VtWzZUhMmTNC3336rixcvqmLFipo8ebIGDhyY36XBwqZMmaLPPvtMderUcfqC1sKEMTcAAMBSGHMDAAAshXADAAAspdCNuUlNTdU///yjYsWK5ckj1wEAQO4zxujs2bMKCQm57sMkC124+eeff7L0RXwAAKDgOXjwoMqVK3fNNoUu3KQ9Bv/gwYPy8/PL52oAAEBWJCQkKDQ0NEtfZ1Powk3apSg/Pz/CDQAAN5msDClhQDEAALAUwg0AALAUwg0AALAUwg0AALAUwg0AALAUwg0AALAUwg0AALAUwg0AALAUwg0AALAUwg0AALAUwg0AALAUwg0AALAUwg0AALAUwg0AALAUj/wuIP/453cBAAAnJr8LgEVw5gYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFgK4QYAAFhKgQk3ffr0kc1m0yuvvOI0PSYmRjabLZ+qAgAAN5sCE24kycvLS6+++qpOnz6d36UAAICbVIEKN61bt1bp0qU1fvz4TNvMmzdPNWrUkN1uV/ny5TVhwoQbWCEAACjoClS4cXd317hx4zR58mQdOnQo3fz169era9eu6t69u7Zs2aJRo0ZpxIgRmjFjxo0vFgAAFEge+V3A1Tp37qw6depo5MiR+uijj5zmvfnmm2rVqpVGjBghSapcubK2b9+u119/XX369MlweUlJSUpKSnK8TkhIyLPaAQBA/itQZ27SvPrqq5o5c6Z27NjhNH3Hjh1q0qSJ07QmTZpo165dSklJyXBZ48ePl7+/v+MnNDQ0z+oGAAD5r0CGmzvuuENRUVEaPnx4jpc1fPhwxcfHO34OHjyYCxUCAICCqsBdlkrzyiuvqE6dOqpSpYpjWrVq1RQbG+vULjY2VpUrV5a7u3uGy7Hb7bLb7XlaKwAAKDgKbLipVauWevbsqbffftsxbciQIapfv75eeukldevWTatXr9Y777yj9957Lx8rBQAABUmBvCyVZsyYMUpNTXW8rlevnubMmaMvv/xSNWvW1IsvvqgxY8ZkOpgYAAAUPjZjjMnvIm6khIQE+fv7Kz5e8vPL72oAAP9TqD6O4KL/fX7Hy+86H+AF+swNAACAqwg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUlwON8uXL8+LOgAAAHKFy+Gmbdu2ioiI0Msvv6yDBw/mRU0AAADZ5nK4OXz4sAYOHKi5c+eqQoUKioqK0pw5c3Tp0qW8qA8AAMAlLoeboKAgPf3009q0aZPWrl2rypUr64knnlBISIgGDRqkzZs350WdAAAAWZKjAcX16tXT8OHDNXDgQCUmJurjjz9WZGSkmjVrpm3btuVWjQAAAFmWrXBz+fJlzZ07V+3bt1dYWJgWL16sd955R8eOHdPu3bsVFhamLl265HatAAAA12UzxhhX3vDkk0/qiy++kDFGDz74oPr376+aNWs6tTl69KhCQkKUmpqaq8XmhoSEBPn7+ys+XvLzy+9qAAD/49LHEQqZ/31+x8vvOh/gHq4ufPv27Zo8ebLuuece2e32DNsEBQVxyzgAAMgXLl2Wunz5ssLCwtSwYcNMg40keXh4qHnz5jkuDgAAwFUuhZsiRYpo3rx5eVULAABAjrk8oDg6OloxMTF5UAoAAEDOuTzmplKlShozZoxiY2MVGRkpHx8fp/mDBg3KteIAAABc5fLdUuHh4ZkvzGbT33//neOi8hJ3SwFAQcXdUshcnt4ttXfv3mwXBgAAkNey/YTiS5cuaefOnUpOTs7NegAAAHLE5XBz/vx59evXT0WLFlWNGjV04MABSf8+3O+VV17J9QIBAABc4XK4GT58uDZv3qwVK1bIy8vLMb1169aaPXt2rhYHAADgKpfH3MTExGj27Nlq2LChbDabY3qNGjW0Z8+eXC0OAADAVS6fuTl+/LiCg4PTTT937pxT2AEAAMgPLoeb2267Td99953jdVqg+fDDD9WoUaPcqwwAACAbXL4sNW7cOLVr107bt29XcnKy3nrrLW3fvl2//vqrVq5cmRc1AgAAZJnLZ26aNm2qTZs2KTk5WbVq1dKPP/6o4OBgrV69WpGRkXlRIwAAQJa5/ITimx1PKAaAgqpQfRzBRa48odjlMzetW7fWjBkzlJCQkO0CAQAA8orL4aZGjRoaPny4SpcurS5dumjhwoW6fPlyXtQGAADgMpfDzVtvvaXDhw8rJiZGPj4+6tWrl0qVKqVHHnmEAcUAACDf5XjMzcWLF/XNN99o7Nix2rJli1JSUnKrtjzBmBsAKKgYc4PM5em3gl/p6NGj+vLLL/XZZ5/pjz/+UIMGDXKyOAAAgBxz+bJUQkKCpk+frjvvvFOhoaGaMmWK7r77bu3atUtr1qzJixoBAACyzOUzN6VKlVJgYKC6deum8ePH67bbbsuLugAAALLF5XDz9ddfq1WrVnJzc/mkDwAAQJ5zOdzceeedeVEHAABArshSuKlXr55++uknBQYGqm7dutf89u8NGzbkWnF5K14St0sBAGA1WQo3nTp1kt1ulyRFR0fnZT0AAAA5Uoi/W+r698kDAICCIU+/WwoAAKAgy9JlqcDAwGuOs7nSqVOnclQQAABATmQp3EyaNCmPywAAAMgdWQo3vXv3zus6AAAAckW2xtzs2bNHL7zwgnr06KG4uDhJ0qJFi7Rt27ZcLQ4AAMBVLoeblStXqlatWlq7dq3mz5+vxMRESdLmzZs1cuTIXC8QAADAFS6Hm2HDhunll1/WkiVL5Onp6ZjesmVLvjgTAADkO5fDzZYtW9S5c+d004ODg3XixIlcKQoAACC7XA43AQEBOnLkSLrpGzduVNmyZXOlKAAAgOxyOdx0795dzz33nI4ePSqbzabU1FTFxsZq6NCh6tWrV17UCAAAkGUuh5tx48apatWqCg0NVWJioqpXr6477rhDjRs31gsvvJAXNQIAAGRZtr9b6sCBA9q6dasSExNVt25dVapUKbdryxN8txQAADcfVz6/s/QQv4zccsstuuWWW7L7dgAAgDyRpXDzzDPPZHmBb775ZraLAQAAyKkshZuNGzc6vd6wYYOSk5NVpUoVSdJff/0ld3d3RUZG5n6FAAAALshSuFm+fLnj32+++aaKFSummTNnKjAwUJJ0+vRp9e3bV82aNcubKgEAALLI5QHFZcuW1Y8//qgaNWo4Td+6davatGmjf/75J1cLzG0MKAYA4Objyue3y7eCJyQk6Pjx4+mmHz9+XGfPnnV1cQAAALnK5XDTuXNn9e3bV/Pnz9ehQ4d06NAhzZs3T/369dM999yTFzUCAABkmcu3gr///vsaOnSo7r//fl2+fPnfhXh4qF+/fnr99ddzvUAAAABXZPshfufOndOePXskSREREfLx8cnVwvIKY24AALj53JCH+Pn4+Kh27drZfTsAAECecHnMDQAAQEFGuAEAAJZCuAEAAJZCuAEAAJaSrXDz6aefqkmTJgoJCdH+/fslSZMmTdLChQtztTgAAABXuRxupkyZomeeeUbt27fXmTNnlJKSIkkKCAjQpEmTcrs+AAAAl7gcbiZPnqxp06bp+eefl7u7u2P6bbfdpi1btuRqcQAAAK5yOdzs3btXdevWTTfdbrfr3LlzuVIUAABAdrkcbsLDw7Vp06Z003/44QdVq1YtN2oCAADINpefUPzMM89owIABunjxoowx+u233/TFF19o/Pjx+vDDD/OiRgAAgCxzOdz0799f3t7eeuGFF3T+/Hndf//9CgkJ0VtvvaXu3bvnRY0AAABZlu0vzpSk8+fPKzExUcHBwblZU57iizMBALj53JAvzpSkokWLqmjRojlZBAAAQK5yOdwcO3ZMQ4cO1U8//aS4uDhdfeIn7bk3BZ3/eH/JK7+rAADAWszIbF8QyjUuh5s+ffrowIEDGjFihMqUKSObzZYXdQEAAGSLy+Fm1apV+uWXX1SnTp08KAcAACBnXH7OTWhoaLpLUQAAAAWFy+Fm0qRJGjZsmPbt25cH5QAAAOSMy5elunXrpvPnzysiIkJFixZVkSJFnOafOnUq14oDAABwlcvhhm/+BgAABZnL4aZ37955UQcAAECuyFK4SUhIcDwNMCEh4ZpteeovAADIT1kKN4GBgTpy5IiCg4MVEBCQ4bNtjDGy2Ww3zUP8AACANWUp3CxbtkzFixeXJC1fvjxPCwIAAMiJLIWb5s2bZ/hvAACAgiZL4eaPP/7I8gJr166d7WIAAAByKkvhpk6dOrLZbNd9MjFjbgAAQH7LUrjZu3dvXtcBAACQK7IUbsLCwvK6DgAAgFzh8kP8JGnXrl1avny54uLilJqa6jTvxRdfzJXCAAAAssPlcDNt2jQ9/vjjCgoKUunSpZ2eeWOz2Qg3AAAgX7kcbl5++WWNHTtWzz33XF7UAwAAkCNurr7h9OnT6tKlS17UAgAAkGMuh5suXbroxx9/zItaAAAAcszly1IVK1bUiBEjtGbNGtWqVUtFihRxmj9o0KBcKw4AAMBVNnO9J/NdJTw8PPOF2Wz6+++/c1xUXkpISJC/v780TJJXflcDAIC1mJEuxYosS/v8jo+Pl5+f3zXbunzmhgf6AQCAgszlMTdpTpw4oRMnTuRmLQAAADnmUrg5c+aMBgwYoKCgIJUqVUqlSpVSUFCQBg4cqDNnzuRRiQAAAFmX5ctSp06dUqNGjXT48GH17NlT1apVkyRt375dM2bM0E8//aRff/1VgYGBeVYsAADA9WQ53IwZM0aenp7as2ePSpUqlW5emzZtNGbMGE2cODHXiwQAAMiqLF+WiomJ0RtvvJEu2EhS6dKl9dprr2nBggW5WhwAAICrshxujhw5oho1amQ6v2bNmjp69GiuFAUAAJBdWQ43QUFB2rdvX6bz9+7dq+LFi+dGTQAAANmW5XATFRWl559/XpcuXUo3LykpSSNGjFDbtm1ztTgAAABXuTSg+LbbblOlSpU0YMAAVa1aVcYY7dixQ++9956SkpL06aef5mWtAAAA15XlcFOuXDmtXr1aTzzxhIYPH660b22w2Wy688479c477yg0NDTPCgUAAMgKl75+ITw8XIsWLdLp06e1a9cuSf9+kSZjbQAAQEHh8ndLSVJgYKAaNGiQ27UAAADkWLa/WwoAAKAgItwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLIdwAAABLyZdwY4xR69atFRUVlW7ee++9p4CAAB06dCgfKgMAADe7fAk3NptN06dP19q1azV16lTH9L179+rZZ5/V5MmTVa5cufwoDQAA3OTy7bJUaGio3nrrLQ0dOlR79+6VMUb9+vVTmzZtVLduXbVr106+vr4qVaqUHnzwQZ04ccLx3rlz56pWrVry9vZWiRIl1Lp1a507dy6/NgUAABQg+Trmpnfv3mrVqpUeeughvfPOO9q6daumTp2qli1bqm7dulq3bp1++OEHHTt2TF27dpUkHTlyRD169NBDDz2kHTt2aMWKFbrnnntkjMlwHUlJSUpISHD6AQAA1mUzmaWCGyQuLk41atTQqVOnNG/ePG3dulW//PKLFi9e7Ghz6NAhhYaGaufOnUpMTFRkZKT27dunsLCw6y5/1KhRGj16dPoZwyR55eKGAAAAmZF5EysSEhLk7++v+Ph4+fn5XbNtvt8tFRwcrEcffVTVqlVTdHS0Nm/erOXLl8vX19fxU7VqVUnSnj17dOutt6pVq1aqVauWunTpomnTpun06dOZLn/48OGKj493/Bw8ePBGbRoAAMgHHvldgCR5eHjIw+PfUhITE9WxY0e9+uqr6dqVKVNG7u7uWrJkiX799Vf9+OOPmjx5sp5//nmtXbtW4eHh6d5jt9tlt9vzfBsAAEDBkO9nbq5Wr149bdu2TeXLl1fFihWdfnx8fCT9e7dVkyZNNHr0aG3cuFGenp5asGBBPlcOAAAKggIXbgYMGKBTp06pR48e+v3337Vnzx4tXrxYffv2VUpKitauXatx48Zp3bp1OnDggObPn6/jx4+rWrVq+V06AAAoAArEZakrhYSEKDY2Vs8995zatGmjpKQkhYWFqW3btnJzc5Ofn59+/vlnTZo0SQkJCQoLC9OECRPUrl27/C4dAAAUAPl+t9SNljbamrulAADIfdwtBQAAkMsINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFI88ruA/BI/PF5+fn75XQYAAMhlnLkBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACW4pHfBdxoxhhJUkJCQj5XAgAAsirtczvtc/xaCl24OXnypCQpNDQ0nysBAACuOnv2rPz9/a/ZptCFm+LFi0uSDhw4cN3OKawSEhIUGhqqgwcPys/PL7/LKZDoo2ujf66PPro++ujaClv/GGN09uxZhYSEXLdtoQs3bm7/DjPy9/cvFDtDTvj5+dFH10EfXRv9c3300fXRR9dWmPonqyclGFAMAAAshXADAAAspdCFG7vdrpEjR8put+d3KQUWfXR99NG10T/XRx9dH310bfRP5mwmK/dUAQAA3CQK3ZkbAABgbYQbAABgKYQbAABgKYQbAABgKZYMN++++67Kly8vLy8v3X777frtt9+u2f6rr75S1apV5eXlpVq1aun777+/QZXmH1f6aMaMGbLZbE4/Xl5eN7DaG+vnn39Wx44dFRISIpvNppiYmOu+Z8WKFapXr57sdrsqVqyoGTNm5Hmd+cnVPlqxYkW6fchms+no0aM3puAbbPz48apfv76KFSum4OBgRUdHa+fOndd9X2E6FmWnjwrbsWjKlCmqXbu24yF9jRo10qJFi675nsK0D12L5cLN7Nmz9cwzz2jkyJHasGGDbr31VkVFRSkuLi7D9r/++qt69Oihfv36aePGjYqOjlZ0dLS2bt16gyu/cVztI+nfJ2AeOXLE8bN///4bWPGNde7cOd1666169913s9R+79696tChg/7zn/9o06ZNGjx4sPr376/FixfncaX5x9U+SrNz506n/Sg4ODiPKsxfK1eu1IABA7RmzRotWbJEly9fVps2bXTu3LlM31PYjkXZ6SOpcB2LypUrp1deeUXr16/XunXr1LJlS3Xq1Enbtm3LsH1h24euyVhMgwYNzIABAxyvU1JSTEhIiBk/fnyG7bt27Wo6dOjgNO322283jz76aJ7WmZ9c7aPp06cbf3//G1RdwSLJLFiw4Jptnn32WVOjRg2nad26dTNRUVF5WFnBkZU+Wr58uZFkTp8+fUNqKmji4uKMJLNy5cpM2xTGY9GVstJHhflYlCYwMNB8+OGHGc4r7PvQlSx15ubSpUtav369Wrdu7Zjm5uam1q1ba/Xq1Rm+Z/Xq1U7tJSkqKirT9je77PSRJCUmJiosLEyhoaHX/MuhMCps+1BO1KlTR2XKlNGdd96p2NjY/C7nhomPj5f0vy/uzUhh34+y0kdS4T0WpaSk6Msvv9S5c+fUqFGjDNsU9n3oSpYKNydOnFBKSopKlSrlNL1UqVKZXts/evSoS+1vdtnpoypVqujjjz/WwoUL9dlnnyk1NVWNGzfWoUOHbkTJBV5m+1BCQoIuXLiQT1UVLGXKlNH777+vefPmad68eQoNDVWLFi20YcOG/C4tz6Wmpmrw4MFq0qSJatasmWm7wnYsulJW+6gwHou2bNkiX19f2e12PfbYY1qwYIGqV6+eYdvCvA9drdB9Kzhc16hRI6e/FBo3bqxq1app6tSpeumll/KxMtwsqlSpoipVqjheN27cWHv27NHEiRP16aef5mNleW/AgAHaunWrVq1ald+lFFhZ7aPCeCyqUqWKNm3apPj4eM2dO1e9e/fWypUrMw04+JelztwEBQXJ3d1dx44dc5p+7NgxlS5dOsP3lC5d2qX2N7vs9NHVihQporp162r37t15UeJNJ7N9yM/PT97e3vlUVcHXoEEDy+9DAwcO1Lfffqvly5erXLly12xb2I5FaVzpo6sVhmORp6enKlasqMjISI0fP1633nqr3nrrrQzbFtZ9KCOWCjeenp6KjIzUTz/95JiWmpqqn376KdNrlI0aNXJqL0lLlizJtP3NLjt9dLWUlBRt2bJFZcqUyasybyqFbR/KLZs2bbLsPmSM0cCBA7VgwQItW7ZM4eHh131PYduPstNHVyuMx6LU1FQlJSVlOK+w7UPXlN8jmnPbl19+aex2u5kxY4bZvn27eeSRR0xAQIA5evSoMcaYBx980AwbNszRPjY21nh4eJg33njD7Nixw4wcOdIUKVLEbNmyJb82Ic+52kejR482ixcvNnv27DHr16833bt3N15eXmbbtm35tQl56uzZs2bjxo1m48aNRpJ58803zcaNG83+/fuNMcYMGzbMPPjgg472f//9tylatKj573//a3bs2GHeffdd4+7ubn744Yf82oQ852ofTZw40cTExJhdu3aZLVu2mKeeesq4ubmZpUuX5tcm5KnHH3/c+Pv7mxUrVpgjR444fs6fP+9oU9iPRdnpo8J2LBo2bJhZuXKl2bt3r/njjz/MsGHDjM1mMz/++KMxhn3oWiwXbowxZvLkyeaWW24xnp6epkGDBmbNmjWOec2bNze9e/d2aj9nzhxTuXJl4+npaWrUqGG+++67G1zxjedKHw0ePNjRtlSpUqZ9+/Zmw4YN+VD1jZF22/LVP2l90rt3b9O8efN076lTp47x9PQ0FSpUMNOnT7/hdd9IrvbRq6++aiIiIoyXl5cpXry4adGihVm2bFn+FH8DZNQ3kpz2i8J+LMpOHxW2Y9FDDz1kwsLCjKenpylZsqRp1aqVI9gYwz50LTZjjLlx54kAAADylqXG3AAAABBuAACApRBuAACApRBuAACApRBuAACApRBuAACApRBuAACApRBuACCX9enTR9HR0fldBlBoEW4ASJJWr14td3d3dejQIb9LuSFsNpvjx8/PT/Xr19fChQtdWsa+fftks9m0adMmp+lvvfWWZsyYkXvFAnAJ4QaAJOmjjz7Sk08+qZ9//ln//PNPnq7LGKPk5OQ8XUdWTJ8+XUeOHNG6devUpEkT3XfffdqyZUuOl+vv76+AgICcFwggWwg3AJSYmKjZs2fr8ccfV4cOHZzOOtx///3q1q2bU/vLly8rKChIn3zyiaR/v6l4/PjxCg8Pl7e3t2699VbNnTvX0X7FihWy2WxatGiRIiMjZbfbtWrVKu3Zs0edOnVSqVKl5Ovrq/r162vp0qVO6zpy5Ig6dOggb29vhYeH6/PPP1f58uU1adIkR5szZ86of//+KlmypPz8/NSyZUtt3rz5utsdEBCg0qVLq3LlynrppZeUnJys5cuXO+b/8MMPatq0qQICAlSiRAnddddd2rNnj2N+2jdZ161bVzabTS1atJCU/rJUixYtNGjQID377LMqXry4SpcurVGjRjnV8ueff6pp06by8vJS9erVtXTpUtlsNsXExFx3OwA4I9wA0Jw5c1S1alVVqVJFDzzwgD7++GOlfe1cz5499c033ygxMdHRfvHixTp//rw6d+4sSRo/frw++eQTvf/++9q2bZuefvppPfDAA1q5cqXTeoYNG6ZXXnlFO3bsUO3atZWYmKj27dvrp59+0saNG9W2bVt17NhRBw4ccLynV69e+ueff7RixQrNmzdPH3zwgeLi4pyW26VLF8XFxWnRokVav3696tWrp1atWunUqVNZ2v7k5GR99NFHkiRPT0/H9HPnzumZZ57RunXr9NNPP8nNzU2dO3dWamqqJOm3336TJC1dulRHjhzR/PnzM13HzJkz5ePjo7Vr1+q1117TmDFjtGTJEklSSkqKoqOjVbRoUa1du1YffPCBnn/++SzVDiAD+fu9nQAKgsaNG5tJkyYZY4y5fPmyCQoKMsuXL3d6/cknnzja9+jRw3Tr1s0YY8zFixdN0aJFza+//uq0zH79+pkePXoYY/73LeIxMTHXraVGjRpm8uTJxhhjduzYYSSZ33//3TF/165dRpKZOHGiMcaYX375xfj5+ZmLFy86LSciIsJMnTo10/VIMl5eXsbHx8e4ubkZSaZ8+fLm5MmTmb7n+PHjRpLZsmWLMcaYvXv3Gklm48aNTu169+5tOnXq5HjdvHlz07RpU6c29evXN88995wxxphFixYZDw8Pc+TIEcf8JUuWGElmwYIFmdYDIGOcuQEKuZ07d+q3335Tjx49JEkeHh7q1q2b40yGh4eHunbtqlmzZkn692zGwoUL1bNnT0nS7t27df78ed15553y9fV1/HzyySdOl3Ak6bbbbnN6nZiYqKFDh6patWoKCAiQr6+vduzY4Thzs3PnTnl4eKhevXqO91SsWFGBgYGO15s3b1ZiYqJKlCjhtP69e/emW//VJk6cqE2bNmnRokWqXr26PvzwQxUvXtwxf9euXerRo4cqVKggPz8/lS9fXpKczixlVe3atZ1elylTxnEGaufOnQoNDVXp0qUd8xs0aODyOgD8yyO/CwCQvz766CMlJycrJCTEMc0YI7vdrnfeeUf+/v7q2bOnmjdvrri4OC1ZskTe3t5q27atJDkuV3333XcqW7as07LtdrvTax8fH6fXQ4cO1ZIlS/TGG2+oYsWK8vb21n333adLly5luf7ExESVKVNGK1asSDfveoN6S5curYoVK6pixYqaPn262rdvr+3btys4OFiS1LFjR4WFhWnatGkKCQlRamqqatas6VJ9aYoUKeL02mazOS5vAchdhBugEEtOTtYnn3yiCRMmqE2bNk7zoqOj9cUXX+ixxx5T48aNFRoaqtmzZ2vRokXq0qWL48O6evXqstvtOnDggJo3b+7S+mNjY9WnTx/H2J3ExETt27fPMb9KlSpKTk7Wxo0bFRkZKenfM0WnT592tKlXr56OHj0qDw8Px5mV7GjQoIEiIyM1duxYvfXWWzp58qR27typadOmqVmzZpKkVatWOb0nbXxOSkpKttcr/budBw8e1LFjx1SqVClJ0u+//56jZQKFGeEGKMS+/fZbnT59Wv369ZO/v7/TvHvvvVcfffSRHnvsMUn/3jX1/vvv66+//nK6o6hYsWIaOnSonn76aaWmpqpp06aKj49XbGys/Pz81Lt370zXX6lSJc2fP18dO3aUzWbTiBEjnM5mVK1aVa1bt9YjjzyiKVOmqEiRIhoyZIi8vb1ls9kkSa1bt1ajRo0UHR2t1157TZUrV9Y///yj7777Tp07d053KexaBg8erM6dO+vZZ59VmTJlVKJECX3wwQcqU6aMDhw4oGHDhjm1Dw4Olre3t3744QeVK1dOXl5e6foxK+68805FRESod+/eeu2113T27Fm98MILkuTYTgBZx5gboBD76KOP1Lp16ww/kO+9916tW7dOf/zxh6R/75ravn27ypYtqyZNmji1femllzRixAiNHz9e1apVU9u2bfXdd985bpXOzJtvvqnAwEA1btxYHTt2VFRUlNP4Gkn65JNPVKpUKd1xxx3q3LmzHn74YRUrVkxeXl6S/v3w//7773XHHXeob9++qly5srp37679+/c7zoJkVdu2bRUeHq6xY8fKzc1NX375pdavX6+aNWvq6aef1uuvv+7U3sPDQ2+//bamTp2qkJAQderUyaX1pXF3d1dMTIwSExNVv3599e/f33G3VNp2Asg6mzH//35PALgJHDp0SKGhoVq6dKlatWqV3+XkmdjYWDVt2lS7d+9WREREfpcD3FQINwAKtGXLlikxMVG1atXSkSNH9Oyzz+rw4cP666+/0g3SvZktWLBAvr6+qlSpknbv3q2nnnpKgYGB6cb5ALg+xtwAKNAuX76s//u//9Pff/+tYsWKqXHjxpo1a5algo0knT17Vs8995wOHDigoKAgtW7dWhMmTMjvsoCbEmduAACApTCgGAAAWArhBgAAWArhBgAAWArhBgAAWArhBgAAWArhBgAAWArhBgAAWArhBgAAWArhBgAAWMr/A8m95mJd5be6AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "label =['Yes', 'No']\n",
    "average_rating=[avg_rating_yes, avg_rating_No]\n",
    "colors='Green','Yellow'\n",
    "plt.barh(label, average_rating, color=colors)\n",
    "plt.xlabel('Average Rating')\n",
    "plt.ylabel('Online delivery')\n",
    "plt.title('comparison of average ratings of online delivery')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.13.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}