Time Series Analysis - Female Birth.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "54d8a8e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from statsmodels.tsa.stattools import adfuller"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f2b4acff",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"daily-total-female-births-IN.csv\", header =0, index_col =0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f1f38f6e",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(data.head(3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aad1c65f",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.plot(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3073f6f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "data2 = pd.read_csv(\"AirPassengers.csv\", header =0, index_col =0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3891bdbb",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(data.head(10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d367fb86",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.plot(data2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7600f3b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "values = data2.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6a282cc1",
   "metadata": {},
   "outputs": [],
   "source": [
    "res = adfuller(values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2f5c1209",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(' Augumented Dickey_fuller  Statistics  :  %f' % res[0])\n",
    "print('P-Value  : %f' %res[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "88160db7",
   "metadata": {},
   "outputs": [],
   "source": [
    "print('Critucal Values at Different Levels  : ' )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c7ecb79c",
   "metadata": {},
   "outputs": [],
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   "id": "d17b3e3b",
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  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ca503da9",
   "metadata": {},
   "outputs": [],
   "source": []
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