6.6 Sourcing & Analysing Time Series Data - Zillow Real Estate.ipynb

{
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 6.6 Sourcing & Analysing Time-Series Data - Zillow Real Estate"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### This script contains the following:\n",
    "\n",
    "#### 1. Importing libraries and data\n",
    "#### 2. Subsetting, wrangling, and cleaning time-series data\n",
    "#### 3. Time series analysis: decomposition\n",
    "#### 4. Testing for stationarity\n",
    "#### 5. Stationarizing Zillow Real Estate Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Importing libraries and data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import quandl\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import statsmodels.api as sm\n",
    "import os\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "plt.style.use('fivethirtyeight') # Styling option for how plots will appear"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Configure API key \n",
    "\n",
    "quandl.ApiConfig.api_key = 'MLTcF2smqn-sB4VAtWst'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import the Zillow Real Estate Data \"Home values\" variable.\n",
    "\n",
    "data = quandl.get_table('ZILLOW/DATA')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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       "      <th></th>\n",
       "      <th>indicator_id</th>\n",
       "      <th>region_id</th>\n",
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       "      <th>value</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ZSFH</td>\n",
       "      <td>99999</td>\n",
       "      <td>2024-04-30</td>\n",
       "      <td>471998.338021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ZSFH</td>\n",
       "      <td>99999</td>\n",
       "      <td>2024-03-31</td>\n",
       "      <td>470671.863494</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ZSFH</td>\n",
       "      <td>99999</td>\n",
       "      <td>2024-02-29</td>\n",
       "      <td>471144.364833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ZSFH</td>\n",
       "      <td>99999</td>\n",
       "      <td>2024-01-31</td>\n",
       "      <td>474834.034632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ZSFH</td>\n",
       "      <td>99999</td>\n",
       "      <td>2023-12-31</td>\n",
       "      <td>478670.136789</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "     indicator_id region_id       date          value\n",
       "None                                                 \n",
       "0            ZSFH     99999 2024-04-30  471998.338021\n",
       "1            ZSFH     99999 2024-03-31  470671.863494\n",
       "2            ZSFH     99999 2024-02-29  471144.364833\n",
       "3            ZSFH     99999 2024-01-31  474834.034632\n",
       "4            ZSFH     99999 2023-12-31  478670.136789"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
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       "      <th></th>\n",
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       "    <tr>\n",
       "      <th>9995</th>\n",
       "      <td>ZSFH</td>\n",
       "      <td>99959</td>\n",
       "      <td>2009-06-30</td>\n",
       "      <td>246438.351632</td>\n",
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       "    <tr>\n",
       "      <th>9996</th>\n",
       "      <td>ZSFH</td>\n",
       "      <td>99959</td>\n",
       "      <td>2009-05-31</td>\n",
       "      <td>248906.600421</td>\n",
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       "    <tr>\n",
       "      <th>9997</th>\n",
       "      <td>ZSFH</td>\n",
       "      <td>99959</td>\n",
       "      <td>2009-04-30</td>\n",
       "      <td>251671.631128</td>\n",
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       "    <tr>\n",
       "      <th>9998</th>\n",
       "      <td>ZSFH</td>\n",
       "      <td>99959</td>\n",
       "      <td>2009-03-31</td>\n",
       "      <td>254802.124210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9999</th>\n",
       "      <td>ZSFH</td>\n",
       "      <td>99959</td>\n",
       "      <td>2009-02-28</td>\n",
       "      <td>257771.000546</td>\n",
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       "     indicator_id region_id       date          value\n",
       "None                                                 \n",
       "9995         ZSFH     99959 2009-06-30  246438.351632\n",
       "9996         ZSFH     99959 2009-05-31  248906.600421\n",
       "9997         ZSFH     99959 2009-04-30  251671.631128\n",
       "9998         ZSFH     99959 2009-03-31  254802.124210\n",
       "9999         ZSFH     99959 2009-02-28  257771.000546"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "indicator_id\n",
       "ZSFH    10000\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['indicator_id'].value_counts(dropna = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Subsetting, wrangling, and cleaning time-series data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Drop unnecessary columns\n",
    "\n",
    "data = data.drop(columns=['indicator_id','region_id'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "      <th>2</th>\n",
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       "      <td>471144.364833</td>\n",
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      "text/plain": [
       "           date          value\n",
       "None                          \n",
       "0    2024-04-30  471998.338021\n",
       "1    2024-03-31  470671.863494\n",
       "2    2024-02-29  471144.364833\n",
       "3    2024-01-31  474834.034632\n",
       "4    2023-12-31  478670.136789"
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     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "date\n",
       "2015-06-30    40\n",
       "2014-12-31    40\n",
       "2016-05-31    40\n",
       "2016-04-30    40\n",
       "2016-03-31    40\n",
       "              ..\n",
       "1997-03-31     7\n",
       "1997-04-30     7\n",
       "1997-06-30     7\n",
       "1996-01-31     7\n",
       "2024-05-31     1\n",
       "Name: count, Length: 341, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check \"date\" variable\n",
    "\n",
    "data['date'].value_counts(dropna = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Covert \"date\" into datetime format\n",
    "\n",
    "data['date'] = pd.to_datetime(data['date'], format='%d/%m/%Y')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set \"date\" as the dataset's index\n",
    "\n",
    "data = data.set_index('date')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "      <th>2024-04-30</th>\n",
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      "text/plain": [
       "                    value\n",
       "date                     \n",
       "2024-04-30  471998.338021\n",
       "2024-03-31  470671.863494\n",
       "2024-02-29  471144.364833\n",
       "2024-01-31  474834.034632\n",
       "2023-12-31  478670.136789"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 10000 entries, 2024-04-30 to 2009-02-28\n",
      "Data columns (total 1 columns):\n",
      " #   Column  Non-Null Count  Dtype  \n",
      "---  ------  --------------  -----  \n",
      " 0   value   10000 non-null  float64\n",
      "dtypes: float64(1)\n",
      "memory usage: 156.2 KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "value    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check for missing values\n",
    "\n",
    "data.isnull().sum() \n",
    "\n",
    "# No missing values!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "32"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check for duplicates\n",
    "\n",
    "dups = data.duplicated()\n",
    "dups.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a subset of data prior to 2021\n",
    "\n",
    "data_sub = data[data.index < '2021-01-01']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8557, 1)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_sub.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Resample data to monthly frequency to remove duplicates\n",
    "\n",
    "data_monthly = data_sub.resample('M').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
       "      <th>1996-01-31</th>\n",
       "      <td>144105.857143</td>\n",
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       "    <tr>\n",
       "      <th>1996-02-29</th>\n",
       "      <td>144639.571429</td>\n",
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       "    <tr>\n",
       "      <th>1996-03-31</th>\n",
       "      <td>144922.000000</td>\n",
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       "    <tr>\n",
       "      <th>1996-04-30</th>\n",
       "      <td>145506.714286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996-05-31</th>\n",
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      "text/plain": [
       "                    value\n",
       "date                     \n",
       "1996-01-31  144105.857143\n",
       "1996-02-29  144639.571429\n",
       "1996-03-31  144922.000000\n",
       "1996-04-30  145506.714286\n",
       "1996-05-31  146361.571429"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_monthly.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
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     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check for new duplicates\n",
    "\n",
    "dups = data_monthly.duplicated()\n",
    "dups.sum()\n",
    "\n",
    "# No dups!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the new dataset\n",
    "\n",
    "plt.figure(figsize = (10,6))\n",
    "plt.plot(data_monthly, color = 'cornflowerblue')\n",
    "plt.xlabel('Date', size = 12)\n",
    "plt.ylabel('Value', size = 12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Time-series analysis: decomposition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Decompose the time series using an additive model\n",
    "\n",
    "decomposition = sm.tsa.seasonal_decompose(data_monthly, model='additive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pylab import rcParams # This will define a fixed size for all special charts.\n",
    "\n",
    "rcParams['figure.figsize'] = 18, 7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x700 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the separate components\n",
    "\n",
    "decomposition.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The level and the trend appear to be quite similar, but not exactly the same. From the trend component, we can observe that property values in the US were slowly but constantly rising from the start of the period - except for a drop around 2005 and a second one in 2012. After 2012, there is a noticeable upward trend, indicating that property values have been increasing steadily up to 2020.\n",
    "### The seasonal fluctuations indicate a recurring pattern of increases and decreases within each year, suggesting a yearly cycle in property values. This could be due to seasonal demand variations in the US real estate market.\n",
    "### The residuals seem to be centered around zero with some variations, suggesting that the model fits the data reasonably well, though there are some outliers and irregular variations that are not captured by the trend or seasonal components."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. Testing for stationarity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dickey-Fuller Stationarity test:\n",
      "Test Statistic                   2.505152\n",
      "p-value                          0.999051\n",
      "Number of Lags Used              2.000000\n",
      "Number of Observations Used    297.000000\n",
      "Critical Value (1%)             -3.452561\n",
      "Critical Value (5%)             -2.871321\n",
      "Critical Value (10%)            -2.571982\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# Run Dickey-Fuller test for stationarity \n",
    "\n",
    "from statsmodels.tsa.stattools import adfuller # Import the adfuller() function\n",
    "\n",
    "def dickey_fuller(timeseries): # Define the function\n",
    "    # Perform the Dickey-Fuller test:\n",
    "    print ('Dickey-Fuller Stationarity test:')\n",
    "    test = adfuller(timeseries, autolag='AIC')\n",
    "    result = pd.Series(test[0:4], index=['Test Statistic','p-value','Number of Lags Used','Number of Observations Used'])\n",
    "    for key,value in test[4].items():\n",
    "       result['Critical Value (%s)'%key] = value\n",
    "    print (result)\n",
    "\n",
    "# Apply the test using the function on the time series\n",
    "dickey_fuller(data_monthly['value'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Critical Value (5%) = -2.871321. This is much smaller than the test statistic, which is 2.505152, which means that we can’t reject the null hypothesis. Hence there is a unit root in the data, and the data is non-stationary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check out a plot of autocorrelations\n",
    "\n",
    "from statsmodels.graphics.tsaplots import plot_acf, plot_pacf\n",
    "\n",
    "plot_acf(data_monthly)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The Zillow Real Estate time series has most of its lags correlated with each other. This means there’s a lot of autocorrelated data and the set is likely non-stationary, which supports the result of the Dickey-Fuller test conducted earlier."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5. Stationarizing the Zillow Real Estate Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Differencing\n",
    "\n",
    "data_diff = data_monthly - data_monthly.shift(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Remove the missing values that came about as a result of the differencing\n",
    "\n",
    "data_diff.dropna(inplace = True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1996-02-29</th>\n",
       "      <td>533.714286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996-03-31</th>\n",
       "      <td>282.428571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996-04-30</th>\n",
       "      <td>584.714286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996-05-31</th>\n",
       "      <td>854.857143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996-06-30</th>\n",
       "      <td>1339.285714</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  value\n",
       "date                   \n",
       "1996-02-29   533.714286\n",
       "1996-03-31   282.428571\n",
       "1996-04-30   584.714286\n",
       "1996-05-31   854.857143\n",
       "1996-06-30  1339.285714"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_diff.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['value'], dtype='object')"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_diff.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x133a8bad0>]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check out what the differencing did to the time-series curve\n",
    "\n",
    "plt.figure(figsize=(15,5), dpi=100)\n",
    "plt.plot(data_diff)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dickey-Fuller Stationarity test:\n",
      "Test Statistic                  -2.723697\n",
      "p-value                          0.070027\n",
      "Number of Lags Used              9.000000\n",
      "Number of Observations Used    289.000000\n",
      "Critical Value (1%)             -3.453182\n",
      "Critical Value (5%)             -2.871593\n",
      "Critical Value (10%)            -2.572127\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# Run Dickey-Fuller test for stationarity \n",
    "\n",
    "dickey_fuller(data_diff)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The test statistic is slightly bigger than the critical value at 5% significance level, but smaller than the one at 10%. The p-value is slightly bigger than 0.05. This means we can't reject the null hypothesis yet."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check out the autocorrelation plot\n",
    "\n",
    "plot_acf(data_diff)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Run a second round of differencing\n",
    "\n",
    "data_diff_2 = data_diff - data_diff.shift(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Remove the missing values that came about as a result of the differencing\n",
    "\n",
    "data_diff_2.dropna(inplace = True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1996-03-31</th>\n",
       "      <td>-251.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996-04-30</th>\n",
       "      <td>302.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996-05-31</th>\n",
       "      <td>270.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996-06-30</th>\n",
       "      <td>484.428571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996-07-31</th>\n",
       "      <td>612.428571</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 value\n",
       "date                  \n",
       "1996-03-31 -251.285714\n",
       "1996-04-30  302.285714\n",
       "1996-05-31  270.142857\n",
       "1996-06-30  484.428571\n",
       "1996-07-31  612.428571"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_diff_2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x132960ad0>]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check out what the differencing did to the time-series curve\n",
    "\n",
    "plt.figure(figsize=(15,5), dpi=100)\n",
    "plt.plot(data_diff_2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dickey-Fuller Stationarity test:\n",
      "Test Statistic                -9.032983e+00\n",
      "p-value                        5.382226e-15\n",
      "Number of Lags Used            9.000000e+00\n",
      "Number of Observations Used    2.880000e+02\n",
      "Critical Value (1%)           -3.453262e+00\n",
      "Critical Value (5%)           -2.871628e+00\n",
      "Critical Value (10%)          -2.572146e+00\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# Run Dickey-Fuller test for stationarity \n",
    "\n",
    "dickey_fuller(data_diff_2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  The test statistic is now considerably smaller than the critical value at both the five and ten percent significance levels. We also have a satisfactory p-value (p<0.05). This means we can reject the null hypothesis and consider the series stationary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Recheck the data’s autocorrelations\n",
    "\n",
    "plot_acf(data_diff_2)\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": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}