{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[['4/12/81' 6 66 50 0]\n",
      " ['11/12/81' 6 70 50 1]\n",
      " ['3/22/82' 6 69 50 0]\n",
      " ['11/11/82' 6 68 50 0]\n",
      " ['4/04/83' 6 67 50 0]\n",
      " ['6/18/82' 6 72 50 0]\n",
      " ['8/30/83' 6 73 100 0]\n",
      " ['11/28/83' 6 70 100 0]\n",
      " ['2/03/84' 6 57 200 1]\n",
      " ['4/06/84' 6 63 200 1]\n",
      " ['8/30/84' 6 70 200 1]\n",
      " ['10/05/84' 6 78 200 0]\n",
      " ['11/08/84' 6 67 200 0]\n",
      " ['1/24/85' 6 53 200 2]\n",
      " ['4/12/85' 6 67 200 0]\n",
      " ['4/29/85' 6 75 200 0]\n",
      " ['6/17/85' 6 70 200 0]\n",
      " ['7/29/85' 6 81 200 0]\n",
      " ['8/27/85' 6 76 200 0]\n",
      " ['10/03/85' 6 79 200 0]\n",
      " ['10/30/85' 6 75 200 2]\n",
      " ['11/26/85' 6 76 200 0]\n",
      " ['1/12/86' 6 58 200 1]]\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "x = pd.read_csv('shuttle.csv', header=0).values\n",
    "\n",
    "print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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