{

 "cells": [

  {

   "cell_type": "code",

   "execution_count": null,

   "id": "00b82428",

   "metadata": {},

   "outputs": [],

   "source": [

    "import pandas as pd\n",

    "import numpy as np\n",

    "import matplotlib.pyplot as plt\n",

    "    cardio_data = pd.read_csv('cardio_train.csv', sep=';')\n",

    "    print(cardio_data.head())\n",

    "    smokers = cardio_data[cardio_data['smoke'] == 1]\n",

    "    average_age = smokers['age'].mean()\n",

    "    mode_age = smokers['age'].mode()[0]\n",

    "    print('The average age of smokers ', average_age / 365)\n",

    "    print('The most repeated age of smokers ', mode_age / 365)"

   ]

  },

  {

   "cell_type": "code",

   "execution_count": null,

   "id": "cc7922cd",

   "metadata": {},

   "outputs": [],

   "source": [

    "cardio_data_2 = pd.read_csv('heart_data.csv')\n",

    "print(cardio_data_2.head())"

   ]

  },

  {

   "cell_type": "code",

   "execution_count": null,

   "id": "9bb3ff25",

   "metadata": {},

   "outputs": [],

   "source": [

    "smokers = cardio_data_2[cardio_data_2['Smoking'] == 1]\n",

    "smokers['Heart']"

   ]

  },

  {

   "cell_type": "code",

   "execution_count": null,

   "id": "7e85f38d",

   "metadata": {},

   "outputs": [],

   "source": [

    "nonsmokers = cardio_data_2[cardio_data_2]['Smoking'==0]"

   ]

  },

  {

   "cell_type": "code",

   "execution_count": null,

   "id": "9f1517c9",

   "metadata": {},

   "outputs": [],

   "source": []

  }

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