explore_visualize_data.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Early Data Exploration and Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import pickle\n",
    "import numpy as np\n",
    "from matplotlib.pyplot import figure\n",
    "\n",
    "pd.options.display.max_rows = 500\n",
    "pd.options.display.max_columns = 500"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>sta01fips</th>\n",
       "      <th>mean_inc01_2007</th>\n",
       "      <th>mean_inc01_2009</th>\n",
       "      <th>inc01_diff</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>27063.448108</td>\n",
       "      <td>24905.738869</td>\n",
       "      <td>-2157.709239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>16552.915581</td>\n",
       "      <td>19696.374882</td>\n",
       "      <td>3143.459301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.0</td>\n",
       "      <td>36060.155183</td>\n",
       "      <td>38347.017376</td>\n",
       "      <td>2286.862193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.0</td>\n",
       "      <td>25486.059158</td>\n",
       "      <td>24613.345036</td>\n",
       "      <td>-872.714122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>20406.178589</td>\n",
       "      <td>20987.013518</td>\n",
       "      <td>580.834929</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sta01fips  mean_inc01_2007  mean_inc01_2009   inc01_diff\n",
       "0        0.0     27063.448108     24905.738869 -2157.709239\n",
       "1        1.0     16552.915581     19696.374882  3143.459301\n",
       "2        2.0     36060.155183     38347.017376  2286.862193\n",
       "3        4.0     25486.059158     24613.345036  -872.714122\n",
       "4        5.0     20406.178589     20987.013518   580.834929"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_response = pd.DataFrame()\n",
    "with open('C://Users/josep/Desktop/df_response.pkl','rb') as infile:\n",
    "  df_response = pickle.load(infile)\n",
    "df_response.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>sta01fips</th>\n",
       "      <th>White</th>\n",
       "      <th>Black</th>\n",
       "      <th>Am. Indian</th>\n",
       "      <th>Asian</th>\n",
       "      <th>Hispanic</th>\n",
       "      <th>Other</th>\n",
       "      <th>demo_sum</th>\n",
       "      <th>White%</th>\n",
       "      <th>Black%</th>\n",
       "      <th>Am. Indian%</th>\n",
       "      <th>Asian%</th>\n",
       "      <th>Hispanic%</th>\n",
       "      <th>Other%</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>56</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>78</td>\n",
       "      <td>0.717949</td>\n",
       "      <td>0.076923</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.051282</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.153846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>67</td>\n",
       "      <td>178</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>246</td>\n",
       "      <td>0.272358</td>\n",
       "      <td>0.723577</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.0</td>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>29</td>\n",
       "      <td>0.965517</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.034483</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.0</td>\n",
       "      <td>201</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>54</td>\n",
       "      <td>279</td>\n",
       "      <td>0.720430</td>\n",
       "      <td>0.039427</td>\n",
       "      <td>0.028674</td>\n",
       "      <td>0.003584</td>\n",
       "      <td>0.014337</td>\n",
       "      <td>0.193548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>317</td>\n",
       "      <td>102</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>437</td>\n",
       "      <td>0.725400</td>\n",
       "      <td>0.233410</td>\n",
       "      <td>0.038902</td>\n",
       "      <td>0.002288</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sta01fips  White  Black  Am. Indian  Asian  Hispanic  Other  demo_sum  \\\n",
       "0        0.0     56      6           0      4         0     12        78   \n",
       "1        1.0     67    178           0      0         0      1       246   \n",
       "2        2.0     28      0           1      0         0      0        29   \n",
       "3        4.0    201     11           8      1         4     54       279   \n",
       "4        5.0    317    102          17      1         0      0       437   \n",
       "\n",
       "     White%    Black%  Am. Indian%    Asian%  Hispanic%    Other%  \n",
       "0  0.717949  0.076923     0.000000  0.051282   0.000000  0.153846  \n",
       "1  0.272358  0.723577     0.000000  0.000000   0.000000  0.004065  \n",
       "2  0.965517  0.000000     0.034483  0.000000   0.000000  0.000000  \n",
       "3  0.720430  0.039427     0.028674  0.003584   0.014337  0.193548  \n",
       "4  0.725400  0.233410     0.038902  0.002288   0.000000  0.000000  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_features = pd.DataFrame()\n",
    "with open('C://Users/josep/Desktop/df_features.pkl','rb') as infile:\n",
    "  df_features = pickle.load(infile)\n",
    "df_features.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Income variables for California and Texas and Florida\n",
    "df_temp = df_response.loc[df_response['sta01fips'].isin([6.0, 9.0, 48.0])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib.lines import Line2D\n",
    "\n",
    "# Melt data\n",
    "df2 = df_temp.melt(id_vars=\"sta01fips\", \n",
    "              value_vars=[\"mean_inc01_2007\",\"mean_inc01_2009\"],\n",
    "              var_name='Income', value_name='Dollars')\n",
    "\n",
    "\n",
    "# Could remove income difference\n",
    "fig, ax = plt.subplots(figsize=(12, 6))\n",
    "sns.barplot(x='sta01fips', y='Dollars', hue='Income', ax=ax, data=df2)\n",
    "\n",
    "# Label\n",
    "plt.xlabel(\"State\")\n",
    "plt.ylabel(\"Dollars\")\n",
    "plt.title(\"Mean Income for 2007 and 2009 in California and Texas\")\n",
    "\n",
    "custom_lines = [Line2D([0], [0], color='royalblue', lw=2),\n",
    "            Line2D([0], [0], color='peru', lw=2)]\n",
    "plt.legend(custom_lines, ['Mean Income in 2007', 'Mean Income in 2009'])\n",
    "\n",
    "ticklabs = [x.get_text() for x in ax.get_xticklabels()]\n",
    "ticklabs[0] = 'California'\n",
    "ticklabs[1] = 'Florida'\n",
    "ticklabs[2] = 'Texas'\n",
    "ax.set_xticklabels(ticklabs)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 3, figsize=(10, 6))\n",
    "\n",
    "df_temp2 = df_features.loc[df_response['sta01fips'].isin([6.0, 9.0, 48.0])]\n",
    "df_temp3 = df_temp2[[\"sta01fips\",\"White\",\"Black\",\"Am. Indian\",\"Asian\",\"Hispanic\",\"Other\"]]\n",
    "\n",
    "labels = [\"California\", \"Florida\", \"Texas\"]\n",
    "\n",
    "for i, (idx, row) in enumerate(df_temp3.set_index('sta01fips').iterrows()):\n",
    "    ax = axes[i]\n",
    "    row = row[row.gt(row.sum() * .01)]\n",
    "    ax.pie(row, labels=row.index, startangle=30)\n",
    "    ax.set_title(labels[i])\n",
    "\n",
    "fig.subplots_adjust(wspace=.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>fips_state_code</th>\n",
       "      <th>fips_county_code</th>\n",
       "      <th>week_end</th>\n",
       "      <th>product_code</th>\n",
       "      <th>product_group_code</th>\n",
       "      <th>product_module_code</th>\n",
       "      <th>sale</th>\n",
       "      <th>last_week_sale</th>\n",
       "      <th>last_week_sale_diff</th>\n",
       "      <th>units</th>\n",
       "      <th>last_week_units</th>\n",
       "      <th>last_week_units_diff</th>\n",
       "      <th>num_stores</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>20170121</td>\n",
       "      <td>0501_1272</td>\n",
       "      <td>0501</td>\n",
       "      <td>1272</td>\n",
       "      <td>7069.15</td>\n",
       "      <td>7724.64</td>\n",
       "      <td>-1355.85</td>\n",
       "      <td>338</td>\n",
       "      <td>360.0</td>\n",
       "      <td>-57.0</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>20170128</td>\n",
       "      <td>0501_1272</td>\n",
       "      <td>0501</td>\n",
       "      <td>1272</td>\n",
       "      <td>6543.51</td>\n",
       "      <td>7069.15</td>\n",
       "      <td>-655.49</td>\n",
       "      <td>328</td>\n",
       "      <td>338.0</td>\n",
       "      <td>-22.0</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>20170204</td>\n",
       "      <td>0501_1272</td>\n",
       "      <td>0501</td>\n",
       "      <td>1272</td>\n",
       "      <td>11155.50</td>\n",
       "      <td>6543.51</td>\n",
       "      <td>-525.64</td>\n",
       "      <td>524</td>\n",
       "      <td>328.0</td>\n",
       "      <td>-10.0</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>20170211</td>\n",
       "      <td>0501_1272</td>\n",
       "      <td>0501</td>\n",
       "      <td>1272</td>\n",
       "      <td>6749.40</td>\n",
       "      <td>11155.50</td>\n",
       "      <td>4611.99</td>\n",
       "      <td>347</td>\n",
       "      <td>524.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>20170218</td>\n",
       "      <td>0501_1272</td>\n",
       "      <td>0501</td>\n",
       "      <td>1272</td>\n",
       "      <td>6531.23</td>\n",
       "      <td>6749.40</td>\n",
       "      <td>-4406.10</td>\n",
       "      <td>323</td>\n",
       "      <td>347.0</td>\n",
       "      <td>-177.0</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   fips_state_code  fips_county_code  week_end product_code  \\\n",
       "2               12                 1  20170121    0501_1272   \n",
       "3               12                 1  20170128    0501_1272   \n",
       "4               12                 1  20170204    0501_1272   \n",
       "5               12                 1  20170211    0501_1272   \n",
       "6               12                 1  20170218    0501_1272   \n",
       "\n",
       "  product_group_code product_module_code      sale  last_week_sale  \\\n",
       "2               0501                1272   7069.15         7724.64   \n",
       "3               0501                1272   6543.51         7069.15   \n",
       "4               0501                1272  11155.50         6543.51   \n",
       "5               0501                1272   6749.40        11155.50   \n",
       "6               0501                1272   6531.23         6749.40   \n",
       "\n",
       "   last_week_sale_diff  units  last_week_units  last_week_units_diff  \\\n",
       "2             -1355.85    338            360.0                 -57.0   \n",
       "3              -655.49    328            338.0                 -22.0   \n",
       "4              -525.64    524            328.0                 -10.0   \n",
       "5              4611.99    347            524.0                 196.0   \n",
       "6             -4406.10    323            347.0                -177.0   \n",
       "\n",
       "   num_stores  \n",
       "2          12  \n",
       "3          12  \n",
       "4          12  \n",
       "5          12  \n",
       "6          12  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_fl_2017 = pd.DataFrame()\n",
    "with open('C://Users/josep/Desktop/Stats170B_Project/df_fl_2017.pkl','rb') as infile:\n",
    "  df_fl_2017 = pickle.load(infile)\n",
    "df_fl_2017.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>fips_state_code</th>\n",
       "      <th>fips_county_code</th>\n",
       "      <th>week_end</th>\n",
       "      <th>product_code</th>\n",
       "      <th>product_group_code</th>\n",
       "      <th>product_module_code</th>\n",
       "      <th>sale</th>\n",
       "      <th>last_week_sale</th>\n",
       "      <th>last_week_sale_diff</th>\n",
       "      <th>units</th>\n",
       "      <th>last_week_units</th>\n",
       "      <th>last_week_units_diff</th>\n",
       "      <th>num_stores</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>48</td>\n",
       "      <td>1</td>\n",
       "      <td>20170121</td>\n",
       "      <td>0501_1272</td>\n",
       "      <td>0501</td>\n",
       "      <td>1272</td>\n",
       "      <td>1627.41</td>\n",
       "      <td>1692.96</td>\n",
       "      <td>-1447.54</td>\n",
       "      <td>91</td>\n",
       "      <td>104.0</td>\n",
       "      <td>-87.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>48</td>\n",
       "      <td>1</td>\n",
       "      <td>20170128</td>\n",
       "      <td>0501_1272</td>\n",
       "      <td>0501</td>\n",
       "      <td>1272</td>\n",
       "      <td>1338.32</td>\n",
       "      <td>1627.41</td>\n",
       "      <td>-65.55</td>\n",
       "      <td>79</td>\n",
       "      <td>91.0</td>\n",
       "      <td>-13.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>48</td>\n",
       "      <td>1</td>\n",
       "      <td>20170204</td>\n",
       "      <td>0501_1272</td>\n",
       "      <td>0501</td>\n",
       "      <td>1272</td>\n",
       "      <td>1361.99</td>\n",
       "      <td>1338.32</td>\n",
       "      <td>-289.09</td>\n",
       "      <td>76</td>\n",
       "      <td>79.0</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>48</td>\n",
       "      <td>1</td>\n",
       "      <td>20170211</td>\n",
       "      <td>0501_1272</td>\n",
       "      <td>0501</td>\n",
       "      <td>1272</td>\n",
       "      <td>4425.84</td>\n",
       "      <td>1361.99</td>\n",
       "      <td>23.67</td>\n",
       "      <td>266</td>\n",
       "      <td>76.0</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>48</td>\n",
       "      <td>1</td>\n",
       "      <td>20170218</td>\n",
       "      <td>0501_1272</td>\n",
       "      <td>0501</td>\n",
       "      <td>1272</td>\n",
       "      <td>1639.04</td>\n",
       "      <td>4425.84</td>\n",
       "      <td>3063.85</td>\n",
       "      <td>96</td>\n",
       "      <td>266.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   fips_state_code  fips_county_code  week_end product_code  \\\n",
       "2               48                 1  20170121    0501_1272   \n",
       "3               48                 1  20170128    0501_1272   \n",
       "4               48                 1  20170204    0501_1272   \n",
       "5               48                 1  20170211    0501_1272   \n",
       "6               48                 1  20170218    0501_1272   \n",
       "\n",
       "  product_group_code product_module_code     sale  last_week_sale  \\\n",
       "2               0501                1272  1627.41         1692.96   \n",
       "3               0501                1272  1338.32         1627.41   \n",
       "4               0501                1272  1361.99         1338.32   \n",
       "5               0501                1272  4425.84         1361.99   \n",
       "6               0501                1272  1639.04         4425.84   \n",
       "\n",
       "   last_week_sale_diff  units  last_week_units  last_week_units_diff  \\\n",
       "2             -1447.54     91            104.0                 -87.0   \n",
       "3               -65.55     79             91.0                 -13.0   \n",
       "4              -289.09     76             79.0                 -12.0   \n",
       "5                23.67    266             76.0                  -3.0   \n",
       "6              3063.85     96            266.0                 190.0   \n",
       "\n",
       "   num_stores  \n",
       "2           2  \n",
       "3           2  \n",
       "4           2  \n",
       "5           2  \n",
       "6           2  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_tx_2017 = pd.DataFrame()\n",
    "with open('C://Users/josep/Desktop/Stats170B_Project/df_tx_2017.pkl','rb') as infile:\n",
    "  df_tx_2017 = pickle.load(infile)\n",
    "df_tx_2017.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>STATEFIPS</th>\n",
       "      <th>STATE</th>\n",
       "      <th>COUNTYFIPS</th>\n",
       "      <th>COUNTY</th>\n",
       "      <th>SOVI_SCORE</th>\n",
       "      <th>HRCN_EVNTS</th>\n",
       "      <th>HRCN_AFREQ</th>\n",
       "      <th>HRCN_EXPB</th>\n",
       "      <th>HRCN_EXPP</th>\n",
       "      <th>HRCN_RISKS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>21</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>115</td>\n",
       "      <td>Johnson</td>\n",
       "      <td>34.450138</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.017975</td>\n",
       "      <td>1.924008e+09</td>\n",
       "      <td>23355.998223</td>\n",
       "      <td>1.877326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>21</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>117</td>\n",
       "      <td>Kenton</td>\n",
       "      <td>30.508475</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.006514</td>\n",
       "      <td>1.877337e+10</td>\n",
       "      <td>159719.999264</td>\n",
       "      <td>2.119373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>119</td>\n",
       "      <td>Knott</td>\n",
       "      <td>38.628301</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.009440</td>\n",
       "      <td>1.169517e+09</td>\n",
       "      <td>16339.254872</td>\n",
       "      <td>1.194618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>21</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>121</td>\n",
       "      <td>Knox</td>\n",
       "      <td>43.634214</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.011968</td>\n",
       "      <td>2.106327e+09</td>\n",
       "      <td>31609.754510</td>\n",
       "      <td>1.872874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>21</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>123</td>\n",
       "      <td>Larue</td>\n",
       "      <td>31.533307</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.011348</td>\n",
       "      <td>1.221343e+09</td>\n",
       "      <td>14192.999924</td>\n",
       "      <td>1.045807</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   STATEFIPS     STATE  COUNTYFIPS   COUNTY  SOVI_SCORE  HRCN_EVNTS  \\\n",
       "0         21  Kentucky         115  Johnson   34.450138         2.0   \n",
       "1         21  Kentucky         117   Kenton   30.508475         1.0   \n",
       "2         21  Kentucky         119    Knott   38.628301         1.0   \n",
       "3         21  Kentucky         121     Knox   43.634214         1.0   \n",
       "4         21  Kentucky         123    Larue   31.533307         1.0   \n",
       "\n",
       "   HRCN_AFREQ     HRCN_EXPB      HRCN_EXPP  HRCN_RISKS  \n",
       "0    0.017975  1.924008e+09   23355.998223    1.877326  \n",
       "1    0.006514  1.877337e+10  159719.999264    2.119373  \n",
       "2    0.009440  1.169517e+09   16339.254872    1.194618  \n",
       "3    0.011968  2.106327e+09   31609.754510    1.872874  \n",
       "4    0.011348  1.221343e+09   14192.999924    1.045807  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_fema_county = pd.DataFrame()\n",
    "with open('C://Users/josep/Desktop/Stats170B_Project/df_fema_county.pkl','rb') as infile:\n",
    "  df_fema_county = pickle.load(infile)\n",
    "df_fema_county.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1069\n"
     ]
    }
   ],
   "source": [
    "# Number of unique products in dataset\n",
    "df_product_table = pd.read_csv(\"C://Users/josep/Desktop/Stats170B_Project/vicinitas_search_results.csv\") \n",
    "df_product_table\n",
    "\n",
    "df_product_table.rename(columns = {'product_code_str' : 'product_code'}, inplace = True)\n",
    "print(len(df_product_table[\"product_module_descr\"].unique()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\josep\\anaconda3\\lib\\site-packages\\pandas\\core\\series.py:726: RuntimeWarning: divide by zero encountered in log\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\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>fips_state_code</th>\n",
       "      <th>fips_county_code</th>\n",
       "      <th>week_end</th>\n",
       "      <th>product_code</th>\n",
       "      <th>product_group_code</th>\n",
       "      <th>product_module_code</th>\n",
       "      <th>sale</th>\n",
       "      <th>last_week_sale</th>\n",
       "      <th>last_week_sale_diff</th>\n",
       "      <th>units</th>\n",
       "      <th>last_week_units</th>\n",
       "      <th>last_week_units_diff</th>\n",
       "      <th>num_stores</th>\n",
       "      <th>product_module_descr</th>\n",
       "      <th>product_group_descr</th>\n",
       "      <th>week_end_date</th>\n",
       "      <th>log_sale</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>48</td>\n",
       "      <td>409</td>\n",
       "      <td>20170121</td>\n",
       "      <td>1503_1484</td>\n",
       "      <td>1503</td>\n",
       "      <td>1484</td>\n",
       "      <td>2556.99</td>\n",
       "      <td>2828.60</td>\n",
       "      <td>235.92</td>\n",
       "      <td>1234</td>\n",
       "      <td>1388.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>4</td>\n",
       "      <td>SOFT DRINKS - CARBONATED</td>\n",
       "      <td>CARBONATED BEVERAGES</td>\n",
       "      <td>2017-01-21</td>\n",
       "      <td>7.846586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>48</td>\n",
       "      <td>409</td>\n",
       "      <td>20170128</td>\n",
       "      <td>1503_1484</td>\n",
       "      <td>1503</td>\n",
       "      <td>1484</td>\n",
       "      <td>2485.82</td>\n",
       "      <td>2556.99</td>\n",
       "      <td>-271.61</td>\n",
       "      <td>1187</td>\n",
       "      <td>1234.0</td>\n",
       "      <td>-154.0</td>\n",
       "      <td>4</td>\n",
       "      <td>SOFT DRINKS - CARBONATED</td>\n",
       "      <td>CARBONATED BEVERAGES</td>\n",
       "      <td>2017-01-28</td>\n",
       "      <td>7.818358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>48</td>\n",
       "      <td>409</td>\n",
       "      <td>20170204</td>\n",
       "      <td>1503_1484</td>\n",
       "      <td>1503</td>\n",
       "      <td>1484</td>\n",
       "      <td>2778.09</td>\n",
       "      <td>2485.82</td>\n",
       "      <td>-71.17</td>\n",
       "      <td>1382</td>\n",
       "      <td>1187.0</td>\n",
       "      <td>-47.0</td>\n",
       "      <td>4</td>\n",
       "      <td>SOFT DRINKS - CARBONATED</td>\n",
       "      <td>CARBONATED BEVERAGES</td>\n",
       "      <td>2017-02-04</td>\n",
       "      <td>7.929519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>48</td>\n",
       "      <td>409</td>\n",
       "      <td>20170211</td>\n",
       "      <td>1503_1484</td>\n",
       "      <td>1503</td>\n",
       "      <td>1484</td>\n",
       "      <td>2922.33</td>\n",
       "      <td>2778.09</td>\n",
       "      <td>292.27</td>\n",
       "      <td>1436</td>\n",
       "      <td>1382.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>4</td>\n",
       "      <td>SOFT DRINKS - CARBONATED</td>\n",
       "      <td>CARBONATED BEVERAGES</td>\n",
       "      <td>2017-02-11</td>\n",
       "      <td>7.980137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>48</td>\n",
       "      <td>409</td>\n",
       "      <td>20170218</td>\n",
       "      <td>1503_1484</td>\n",
       "      <td>1503</td>\n",
       "      <td>1484</td>\n",
       "      <td>2695.77</td>\n",
       "      <td>2922.33</td>\n",
       "      <td>144.24</td>\n",
       "      <td>1277</td>\n",
       "      <td>1436.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>4</td>\n",
       "      <td>SOFT DRINKS - CARBONATED</td>\n",
       "      <td>CARBONATED BEVERAGES</td>\n",
       "      <td>2017-02-18</td>\n",
       "      <td>7.899439</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   fips_state_code  fips_county_code  week_end product_code  \\\n",
       "2               48               409  20170121    1503_1484   \n",
       "3               48               409  20170128    1503_1484   \n",
       "4               48               409  20170204    1503_1484   \n",
       "5               48               409  20170211    1503_1484   \n",
       "6               48               409  20170218    1503_1484   \n",
       "\n",
       "  product_group_code product_module_code     sale  last_week_sale  \\\n",
       "2               1503                1484  2556.99         2828.60   \n",
       "3               1503                1484  2485.82         2556.99   \n",
       "4               1503                1484  2778.09         2485.82   \n",
       "5               1503                1484  2922.33         2778.09   \n",
       "6               1503                1484  2695.77         2922.33   \n",
       "\n",
       "   last_week_sale_diff  units  last_week_units  last_week_units_diff  \\\n",
       "2               235.92   1234           1388.0                 183.0   \n",
       "3              -271.61   1187           1234.0                -154.0   \n",
       "4               -71.17   1382           1187.0                 -47.0   \n",
       "5               292.27   1436           1382.0                 195.0   \n",
       "6               144.24   1277           1436.0                  54.0   \n",
       "\n",
       "   num_stores      product_module_descr   product_group_descr week_end_date  \\\n",
       "2           4  SOFT DRINKS - CARBONATED  CARBONATED BEVERAGES    2017-01-21   \n",
       "3           4  SOFT DRINKS - CARBONATED  CARBONATED BEVERAGES    2017-01-28   \n",
       "4           4  SOFT DRINKS - CARBONATED  CARBONATED BEVERAGES    2017-02-04   \n",
       "5           4  SOFT DRINKS - CARBONATED  CARBONATED BEVERAGES    2017-02-11   \n",
       "6           4  SOFT DRINKS - CARBONATED  CARBONATED BEVERAGES    2017-02-18   \n",
       "\n",
       "   log_sale  \n",
       "2  7.846586  \n",
       "3  7.818358  \n",
       "4  7.929519  \n",
       "5  7.980137  \n",
       "6  7.899439  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Filter data for certain products and certain counties in Texas 2017\n",
    "cols = [\"product_module_descr\", \"product_group_descr\", \"product_code\"]\n",
    "\n",
    "# Pick products\n",
    "options = [\"CIGARETTES\", \"SOFT DRINKS - CARBONATED\", \"WATER-BOTTLED\", \"COLD REMEDIES - ADULT\", \"BATTERIES\"]\n",
    "\n",
    "df_tx_2017_prod = pd.DataFrame()\n",
    "\n",
    "df_tx_2017_prod = df_tx_2017.join(df_product_table[cols].set_index('product_code'), on='product_code')\n",
    "df_tx_2017_prod = df_tx_2017_prod.loc[df_tx_2017_prod['product_module_descr'].isin(options)]\n",
    "\n",
    "df_tx_2017_prod['week_end_date'] = pd.to_datetime(df_tx_2017_prod['week_end'], format='%Y%m%d')\n",
    "df_tx_2017_prod[\"log_sale\"] = np.log(df_tx_2017_prod[\"sale\"])\n",
    "\n",
    "# Pick counties\n",
    "df_tx_2017_prod1 = df_tx_2017_prod[df_tx_2017_prod[\"fips_county_code\"] == 7]\n",
    "df_tx_2017_prod2 = df_tx_2017_prod[df_tx_2017_prod[\"fips_county_code\"] == 409]\n",
    "df_tx_2017_prod3 = df_tx_2017_prod[df_tx_2017_prod[\"fips_county_code\"] == 15]\n",
    "\n",
    "\n",
    "df_tx_2017_prod2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_gb_time_series(df, ts_name, gb_name, value_name, figsize=(20,7), title=None, hur=False):\n",
    "\n",
    "    fig, ax = plt.subplots(figsize=figsize)\n",
    "    for key, grp in df.groupby([gb_name]):\n",
    "        ax = grp.plot(ax=ax, kind='line', x=ts_name, y=value_name, label=key)\n",
    "\n",
    "    ax.autoscale_view()\n",
    "    ax.legend(loc='best')\n",
    "    _ = plt.xticks(rotation=60)\n",
    "    _ = plt.grid()\n",
    "    _ = plt.xlabel('')\n",
    "    _ = plt.ylim(0, df[value_name].max() * 1.25)\n",
    "    _ = plt.ylabel(value_name)\n",
    "    \n",
    "    if hur == True:\n",
    "        _ = ax.axvline('2017-08-26', color='darkslategray', linestyle='--')\n",
    "        _ = ax.axvline('2017-09-02', color='darkslategray', linestyle='--')\n",
    "        _ = ax.axvline('2017-09-16', color='darkslategray', linestyle='--') \n",
    "        #_ = ax.text(x='04/24/2017', y=9.5, s=\"Hurricane Occurrences\", size=13, weight='bold', c='darkslategray')\n",
    "    \n",
    "    _ = plt.ylabel(\"Log of Sales\", fontsize=14)\n",
    "    _ = [x.label.set_fontsize(13) for x in ax.xaxis.get_major_ticks()]\n",
    "    \n",
    "    if title is not None:\n",
    "        _ = plt.title(title, size=15)\n",
    "    _ = plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Hurricane Disruption of Product Sales in Texas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_gb_time_series(df_tx_2017_prod1, 'week_end_date', 'product_module_descr', 'log_sale',\n",
    "                    figsize=(9, 5), title=\"Time Series Plot of Product Sales in Aransas County, Texas (2017)\", hur=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_gb_time_series(df_tx_2017_prod2, 'week_end_date', 'product_module_descr', 'log_sale',\n",
    "                    figsize=(9, 5), title=\"Time Series Plot of Product Sales in San Patricio County, Texas (2017)\", hur=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_gb_time_series(df_tx_2017_prod3, 'week_end_date', 'product_module_descr', 'log_sale',\n",
    "                    figsize=(9, 5), title=\"Time Series Plot of Product Sales in Austin County, Texas (2017)\", hur=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Most sold product groups across Texas in 2017"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>sale</th>\n",
       "      <th>fips_state_code</th>\n",
       "      <th>fips_county_code</th>\n",
       "      <th>week_end</th>\n",
       "      <th>product_group_code</th>\n",
       "      <th>hurricane</th>\n",
       "      <th>last_week_sale</th>\n",
       "      <th>last_week_sale_diff</th>\n",
       "      <th>week_end_date</th>\n",
       "      <th>log_sale</th>\n",
       "      <th>SOVI_SCORE</th>\n",
       "      <th>HRCN_EVNTS</th>\n",
       "      <th>HRCN_AFREQ</th>\n",
       "      <th>HRCN_EXPP</th>\n",
       "      <th>HRCN_RISKS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1893.54</td>\n",
       "      <td>48</td>\n",
       "      <td>1</td>\n",
       "      <td>20170204</td>\n",
       "      <td>0501</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1783.48</td>\n",
       "      <td>-353.08</td>\n",
       "      <td>204</td>\n",
       "      <td>7.546203</td>\n",
       "      <td>22.782814</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.018622</td>\n",
       "      <td>58025.693211</td>\n",
       "      <td>2.045053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5080.40</td>\n",
       "      <td>48</td>\n",
       "      <td>1</td>\n",
       "      <td>20170211</td>\n",
       "      <td>0501</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1893.54</td>\n",
       "      <td>110.06</td>\n",
       "      <td>211</td>\n",
       "      <td>8.533145</td>\n",
       "      <td>22.782814</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.018622</td>\n",
       "      <td>58025.693211</td>\n",
       "      <td>2.045053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2068.19</td>\n",
       "      <td>48</td>\n",
       "      <td>1</td>\n",
       "      <td>20170218</td>\n",
       "      <td>0501</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5080.40</td>\n",
       "      <td>3186.86</td>\n",
       "      <td>218</td>\n",
       "      <td>7.634429</td>\n",
       "      <td>22.782814</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.018622</td>\n",
       "      <td>58025.693211</td>\n",
       "      <td>2.045053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1766.81</td>\n",
       "      <td>48</td>\n",
       "      <td>1</td>\n",
       "      <td>20170225</td>\n",
       "      <td>0501</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2068.19</td>\n",
       "      <td>-3012.21</td>\n",
       "      <td>225</td>\n",
       "      <td>7.476931</td>\n",
       "      <td>22.782814</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.018622</td>\n",
       "      <td>58025.693211</td>\n",
       "      <td>2.045053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1645.77</td>\n",
       "      <td>48</td>\n",
       "      <td>1</td>\n",
       "      <td>20170304</td>\n",
       "      <td>0501</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1766.81</td>\n",
       "      <td>-301.38</td>\n",
       "      <td>304</td>\n",
       "      <td>7.405964</td>\n",
       "      <td>22.782814</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.018622</td>\n",
       "      <td>58025.693211</td>\n",
       "      <td>2.045053</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      sale  fips_state_code  fips_county_code  week_end product_group_code  \\\n",
       "0  1893.54               48                 1  20170204               0501   \n",
       "1  5080.40               48                 1  20170211               0501   \n",
       "2  2068.19               48                 1  20170218               0501   \n",
       "3  1766.81               48                 1  20170225               0501   \n",
       "4  1645.77               48                 1  20170304               0501   \n",
       "\n",
       "   hurricane  last_week_sale  last_week_sale_diff  week_end_date  log_sale  \\\n",
       "0        0.0         1783.48              -353.08            204  7.546203   \n",
       "1        0.0         1893.54               110.06            211  8.533145   \n",
       "2        0.0         5080.40              3186.86            218  7.634429   \n",
       "3        0.0         2068.19             -3012.21            225  7.476931   \n",
       "4        0.0         1766.81              -301.38            304  7.405964   \n",
       "\n",
       "   SOVI_SCORE  HRCN_EVNTS  HRCN_AFREQ     HRCN_EXPP  HRCN_RISKS  \n",
       "0   22.782814         3.0    0.018622  58025.693211    2.045053  \n",
       "1   22.782814         3.0    0.018622  58025.693211    2.045053  \n",
       "2   22.782814         3.0    0.018622  58025.693211    2.045053  \n",
       "3   22.782814         3.0    0.018622  58025.693211    2.045053  \n",
       "4   22.782814         3.0    0.018622  58025.693211    2.045053  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_tx_data2 = pd.DataFrame()\n",
    "with open('C://Users/josep/Desktop/Stats170B_Project/df_tx_data2.pkl','rb') as infile:\n",
    "  df_tx_data2 = pickle.load(infile)\n",
    "df_tx_data2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp3_df = pd.DataFrame()\n",
    "\n",
    "# Picked most sold product groups in Texas\n",
    "options = ['6018', '0503', '6012', '1507', '4510', '5002', '4507', '1503', '5001', '3002']\n",
    "temp3_df = df_tx_data2.loc[df_tx_data2['product_group_code'].isin(options)]\n",
    "\n",
    "# Group by product codes\n",
    "pg = temp3_df.groupby(['product_group_code'])['sale'].sum()\n",
    "\n",
    "# Order sales in descending order\n",
    "pg = pg.sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Bar graph\n",
    "plt.bar(pg.index, pg)\n",
    "\n",
    "plt.xticks(rotation=70) \n",
    "plt.xlabel('Product Group') \n",
    "plt.ylabel('Sales') \n",
    "plt.title('Most Popular Product Groups')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Heatmap for Product Sales and Hurricane Scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(df_tx_data2)\n",
    "selected_columns = df[['sale', \n",
    "                    'SOVI_SCORE',\n",
    "                    'HRCN_EVNTS',\n",
    "                    'HRCN_AFREQ',\n",
    "                    'HRCN_EXPP',\n",
    "                    'HRCN_RISKS']]\n",
    "\n",
    "new_df = selected_columns.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>sale</th>\n",
       "      <th>SOVI_SCORE</th>\n",
       "      <th>HRCN_EVNTS</th>\n",
       "      <th>HRCN_AFREQ</th>\n",
       "      <th>HRCN_EXPP</th>\n",
       "      <th>HRCN_RISKS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1893.54</td>\n",
       "      <td>22.782814</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.018622</td>\n",
       "      <td>58025.693211</td>\n",
       "      <td>2.045053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5080.40</td>\n",
       "      <td>22.782814</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.018622</td>\n",
       "      <td>58025.693211</td>\n",
       "      <td>2.045053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2068.19</td>\n",
       "      <td>22.782814</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.018622</td>\n",
       "      <td>58025.693211</td>\n",
       "      <td>2.045053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1766.81</td>\n",
       "      <td>22.782814</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.018622</td>\n",
       "      <td>58025.693211</td>\n",
       "      <td>2.045053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1645.77</td>\n",
       "      <td>22.782814</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.018622</td>\n",
       "      <td>58025.693211</td>\n",
       "      <td>2.045053</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      sale  SOVI_SCORE  HRCN_EVNTS  HRCN_AFREQ     HRCN_EXPP  HRCN_RISKS\n",
       "0  1893.54   22.782814         3.0    0.018622  58025.693211    2.045053\n",
       "1  5080.40   22.782814         3.0    0.018622  58025.693211    2.045053\n",
       "2  2068.19   22.782814         3.0    0.018622  58025.693211    2.045053\n",
       "3  1766.81   22.782814         3.0    0.018622  58025.693211    2.045053\n",
       "4  1645.77   22.782814         3.0    0.018622  58025.693211    2.045053"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Heatmap for FEMA Variables with Product Sales')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 960x640 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = figure(figsize=(12, 8), dpi=80)\n",
    "x_axis_labels = ['Product Sales','Social Vulnerability', 'Hurricane Events', 'Hurricane Frequency', 'Hurricane Exposure', 'Hurricane Risk']\n",
    "y_axis_labels = ['Product Sales','Social Vulnerability', 'Hurricane Events', 'Hurricane Frequency', 'Hurricane Exposure', 'Hurricane Risk']\n",
    "\n",
    "corr = new_df.corr()\n",
    "ax = sns.heatmap(\n",
    "    corr.round(2), \n",
    "    vmin=-1, vmax=1, center=0,\n",
    "    cmap=sns.diverging_palette(20, 220, n=200),\n",
    "    xticklabels=x_axis_labels,\n",
    "    yticklabels=y_axis_labels,\n",
    "    square=True,\n",
    "    annot=True,\n",
    "    annot_kws={\"size\": 14}\n",
    ")\n",
    "ax.set_xticklabels(\n",
    "    ax.get_xticklabels(),\n",
    "    rotation=45,\n",
    "    fontsize=14,\n",
    "    horizontalalignment='right'\n",
    ");\n",
    "\n",
    "ax.set_yticklabels(\n",
    "    ax.get_yticklabels(),\n",
    "    fontsize=14,\n",
    ");\n",
    "\n",
    "ax.set_title(\"Heatmap for FEMA Variables with Product Sales\", fontsize=14)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Extended Heatmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>sale</th>\n",
       "      <th>fips_county_code</th>\n",
       "      <th>product_group_code</th>\n",
       "      <th>last_week_sale</th>\n",
       "      <th>week_end_date</th>\n",
       "      <th>log_sale</th>\n",
       "      <th>SOVI_SCORE</th>\n",
       "      <th>HRCN_EVNTS</th>\n",
       "      <th>HRCN_AFREQ</th>\n",
       "      <th>HRCN_EXPP</th>\n",
       "      <th>HRCN_RISKS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1893.54</td>\n",
       "      <td>1</td>\n",
       "      <td>0501</td>\n",
       "      <td>1783.48</td>\n",
       "      <td>204</td>\n",
       "      <td>7.546203</td>\n",
       "      <td>22.782814</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.018622</td>\n",
       "      <td>58025.693211</td>\n",
       "      <td>2.045053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5080.40</td>\n",
       "      <td>1</td>\n",
       "      <td>0501</td>\n",
       "      <td>1893.54</td>\n",
       "      <td>211</td>\n",
       "      <td>8.533145</td>\n",
       "      <td>22.782814</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.018622</td>\n",
       "      <td>58025.693211</td>\n",
       "      <td>2.045053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2068.19</td>\n",
       "      <td>1</td>\n",
       "      <td>0501</td>\n",
       "      <td>5080.40</td>\n",
       "      <td>218</td>\n",
       "      <td>7.634429</td>\n",
       "      <td>22.782814</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.018622</td>\n",
       "      <td>58025.693211</td>\n",
       "      <td>2.045053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1766.81</td>\n",
       "      <td>1</td>\n",
       "      <td>0501</td>\n",
       "      <td>2068.19</td>\n",
       "      <td>225</td>\n",
       "      <td>7.476931</td>\n",
       "      <td>22.782814</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.018622</td>\n",
       "      <td>58025.693211</td>\n",
       "      <td>2.045053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1645.77</td>\n",
       "      <td>1</td>\n",
       "      <td>0501</td>\n",
       "      <td>1766.81</td>\n",
       "      <td>304</td>\n",
       "      <td>7.405964</td>\n",
       "      <td>22.782814</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.018622</td>\n",
       "      <td>58025.693211</td>\n",
       "      <td>2.045053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390711</th>\n",
       "      <td>0.00</td>\n",
       "      <td>499</td>\n",
       "      <td>9599</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1202</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>45.959795</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.015273</td>\n",
       "      <td>41308.303197</td>\n",
       "      <td>4.458993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390712</th>\n",
       "      <td>5.00</td>\n",
       "      <td>499</td>\n",
       "      <td>9599</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1209</td>\n",
       "      <td>1.609438</td>\n",
       "      <td>45.959795</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.015273</td>\n",
       "      <td>41308.303197</td>\n",
       "      <td>4.458993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390713</th>\n",
       "      <td>0.00</td>\n",
       "      <td>499</td>\n",
       "      <td>9599</td>\n",
       "      <td>5.00</td>\n",
       "      <td>1216</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>45.959795</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.015273</td>\n",
       "      <td>41308.303197</td>\n",
       "      <td>4.458993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390714</th>\n",
       "      <td>0.00</td>\n",
       "      <td>499</td>\n",
       "      <td>9599</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1223</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>45.959795</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.015273</td>\n",
       "      <td>41308.303197</td>\n",
       "      <td>4.458993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390715</th>\n",
       "      <td>5.00</td>\n",
       "      <td>499</td>\n",
       "      <td>9599</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1230</td>\n",
       "      <td>1.609438</td>\n",
       "      <td>45.959795</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.015273</td>\n",
       "      <td>41308.303197</td>\n",
       "      <td>4.458993</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>390716 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           sale  fips_county_code product_group_code  last_week_sale  \\\n",
       "0       1893.54                 1               0501         1783.48   \n",
       "1       5080.40                 1               0501         1893.54   \n",
       "2       2068.19                 1               0501         5080.40   \n",
       "3       1766.81                 1               0501         2068.19   \n",
       "4       1645.77                 1               0501         1766.81   \n",
       "...         ...               ...                ...             ...   \n",
       "390711     0.00               499               9599            0.00   \n",
       "390712     5.00               499               9599            0.00   \n",
       "390713     0.00               499               9599            5.00   \n",
       "390714     0.00               499               9599            0.00   \n",
       "390715     5.00               499               9599            0.00   \n",
       "\n",
       "        week_end_date  log_sale  SOVI_SCORE  HRCN_EVNTS  HRCN_AFREQ  \\\n",
       "0                 204  7.546203   22.782814         3.0    0.018622   \n",
       "1                 211  8.533145   22.782814         3.0    0.018622   \n",
       "2                 218  7.634429   22.782814         3.0    0.018622   \n",
       "3                 225  7.476931   22.782814         3.0    0.018622   \n",
       "4                 304  7.405964   22.782814         3.0    0.018622   \n",
       "...               ...       ...         ...         ...         ...   \n",
       "390711           1202  0.000000   45.959795         2.0    0.015273   \n",
       "390712           1209  1.609438   45.959795         2.0    0.015273   \n",
       "390713           1216  0.000000   45.959795         2.0    0.015273   \n",
       "390714           1223  0.000000   45.959795         2.0    0.015273   \n",
       "390715           1230  1.609438   45.959795         2.0    0.015273   \n",
       "\n",
       "           HRCN_EXPP  HRCN_RISKS  \n",
       "0       58025.693211    2.045053  \n",
       "1       58025.693211    2.045053  \n",
       "2       58025.693211    2.045053  \n",
       "3       58025.693211    2.045053  \n",
       "4       58025.693211    2.045053  \n",
       "...              ...         ...  \n",
       "390711  41308.303197    4.458993  \n",
       "390712  41308.303197    4.458993  \n",
       "390713  41308.303197    4.458993  \n",
       "390714  41308.303197    4.458993  \n",
       "390715  41308.303197    4.458993  \n",
       "\n",
       "[390716 rows x 11 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(df_tx_data2)\n",
    "selected_columns = df[['sale',\n",
    "                    'fips_county_code',\n",
    "                    'product_group_code',\n",
    "                    'last_week_sale',\n",
    "                    'week_end_date',\n",
    "                    'log_sale', \n",
    "                    'SOVI_SCORE',\n",
    "                    'HRCN_EVNTS',\n",
    "                    'HRCN_AFREQ',\n",
    "                    'HRCN_EXPP',\n",
    "                    'HRCN_RISKS']]\n",
    "\n",
    "new_df2 = selected_columns.copy()\n",
    "new_df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Heatmap for Nielsen Consumption Variables')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 960x640 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = figure(figsize=(12, 8), dpi=80)\n",
    "#x_axis_labels = ['Product Sales','Social Vulnerability Score', 'Hurricane Events', 'Hurricane Frequency', 'Hurricane Exposure', 'Hurricane Risk']\n",
    "#y_axis_labels = ['Product Sales','Social Vulnerability Score', 'Num of Hrcn Events', 'Annualized Hrcn Frequency', 'Hrcn Population Exposure', 'Hrcn Risk Score']\n",
    "\n",
    "corr = new_df2.corr()\n",
    "ax = sns.heatmap(\n",
    "    corr.round(2), \n",
    "    vmin=-1, vmax=1, center=0,\n",
    "    cmap=sns.diverging_palette(20, 220, n=200),\n",
    "    #xticklabels=x_axis_labels,\n",
    "    #yticklabels=y_axis_labels,\n",
    "    square=True,\n",
    "    annot=True,\n",
    "    annot_kws={\"size\": 12}\n",
    ")\n",
    "ax.set_xticklabels(\n",
    "    ax.get_xticklabels(),\n",
    "    rotation=45,\n",
    "    fontsize=14,\n",
    "    horizontalalignment='right'\n",
    ");\n",
    "\n",
    "ax.set_yticklabels(\n",
    "    ax.get_yticklabels(),\n",
    "    fontsize=14,\n",
    ");\n",
    "\n",
    "\n",
    "ax.set_title(\"Heatmap for Nielsen Consumption Variables\", fontsize=14)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}