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    "* Mean (Ortalama)\n",
    "* Median (En orta değer) (Mean of the two middle values)\n",
    "* Mode: the most common value in data"
   ],
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    "collapsed": false
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  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [],
   "source": [
    "dizi = [37, 40, 1, 2, 3, 3, 4, 5, 15, 20, 4, 3]"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-08T23:13:37.482288Z",
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  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11.416666666666666\n",
      "11.416666666666666\n"
     ]
    }
   ],
   "source": [
    "def mean1(a):\n",
    "    return sum(a) / float(len(a))\n",
    "\n",
    "import functools\n",
    "def mean2(a):\n",
    "    return functools.reduce(lambda x, y: x + y, a) / float(len(a))\n",
    "\n",
    "print(mean1(dizi))\n",
    "print(mean2(dizi))"
   ],
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     "start_time": "2023-04-08T23:13:37.490658Z",
     "end_time": "2023-04-08T23:13:37.494548Z"
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  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4.0\n",
      "4.0\n"
     ]
    },
    {
     "data": {
      "text/plain": "3"
     },
     "execution_count": 3,
     "metadata": {},
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   ],
   "source": [
    "def median(ls):\n",
    "    # orjinal diziyi bozmayalım diye kopyasını alalım\n",
    "    data = sorted(ls)\n",
    "\n",
    "    # // --> Floor division\n",
    "    mid = len(data) // 2\n",
    "\n",
    "    # ~ --> bitwise not\n",
    "    # https://www.w3schools.com/python/trypython.asp?filename=demo_oper_not\n",
    "    med = (data[mid] + data[~mid]) / 2\n",
    "    return med\n",
    "\n",
    "print(median(dizi))\n",
    "\n",
    "import statistics\n",
    "print(statistics.median(dizi))\n",
    "statistics.mode(dizi)"
   ],
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    "collapsed": false,
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     "start_time": "2023-04-08T23:13:37.495794Z",
     "end_time": "2023-04-08T23:13:37.506885Z"
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  },
  {
   "cell_type": "markdown",
   "source": [
    "Varyans = Topla((Her terim - ortalama))^2 / n\n",
    "* Varyans, verinin ortalamadan ne kadar uzaksadığının / yakınsadığının ölçüsü\n",
    "* Veri örneğinin varyansı için, yine tüm değerlerin ortalaması kullanılır ama n-1'e bölünür.\n",
    "\n",
    "Standart Sapma = karekök(varyans)"
   ],
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  }
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