Advertising Viz.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd; pd.set_option('display.max_columns', None)\n",
    "import seaborn as sns\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "from scipy import stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"data/ad2.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Start Date', 'End Date', 'Campaign Name', 'Ad Group Name', 'Targeting',\n",
       "       'Match Type', 'Customer Search Term', 'Impressions', 'Clicks',\n",
       "       'Click-Thru Rate (CTR)', 'Cost Per Click (CPC)', '7 Day Total Sales ',\n",
       "       'Spend', 'Total Advertising Cost of Sales (ACoS) ',\n",
       "       'Total Return on Advertising Spend (RoAS)', 'Number of Days', 'Key',\n",
       "       'Short Key', 'Impressions Per Day', 'Spend Per Day', 'Sales Per Day'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>Start Date</th>\n",
       "      <th>End Date</th>\n",
       "      <th>Campaign Name</th>\n",
       "      <th>Ad Group Name</th>\n",
       "      <th>Targeting</th>\n",
       "      <th>Match Type</th>\n",
       "      <th>Customer Search Term</th>\n",
       "      <th>Impressions</th>\n",
       "      <th>Clicks</th>\n",
       "      <th>Click-Thru Rate (CTR)</th>\n",
       "      <th>Cost Per Click (CPC)</th>\n",
       "      <th>7 Day Total Sales</th>\n",
       "      <th>Spend</th>\n",
       "      <th>Total Advertising Cost of Sales (ACoS)</th>\n",
       "      <th>Total Return on Advertising Spend (RoAS)</th>\n",
       "      <th>Number of Days</th>\n",
       "      <th>Key</th>\n",
       "      <th>Short Key</th>\n",
       "      <th>Impressions Per Day</th>\n",
       "      <th>Spend Per Day</th>\n",
       "      <th>Sales Per Day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>26-May-21</td>\n",
       "      <td>19-Jun-21</td>\n",
       "      <td>Floral</td>\n",
       "      <td>Exact Ad Group</td>\n",
       "      <td>bamboo toddler plates</td>\n",
       "      <td>EXACT</td>\n",
       "      <td>bamboo toddler plates</td>\n",
       "      <td>757</td>\n",
       "      <td>33</td>\n",
       "      <td>4.36%</td>\n",
       "      <td>2.15</td>\n",
       "      <td>0.0</td>\n",
       "      <td>70.82</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24</td>\n",
       "      <td>bamboo toddler plates Floral Exact Ad Group ba...</td>\n",
       "      <td>bamboo toddler plates Floral</td>\n",
       "      <td>31.541667</td>\n",
       "      <td>2.950833</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>5-Jun-21</td>\n",
       "      <td>19-Jun-21</td>\n",
       "      <td>Floral</td>\n",
       "      <td>ASIN</td>\n",
       "      <td>asin=\"B08F2PR7JS\"</td>\n",
       "      <td>-</td>\n",
       "      <td>b08f2pr7js</td>\n",
       "      <td>5157</td>\n",
       "      <td>40</td>\n",
       "      <td>0.78%</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30.31</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14</td>\n",
       "      <td>b08f2pr7js Floral ASIN asin=\"B08F2PR7JS\"</td>\n",
       "      <td>b08f2pr7js Floral</td>\n",
       "      <td>368.357143</td>\n",
       "      <td>2.165000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>27-May-21</td>\n",
       "      <td>17-Jun-21</td>\n",
       "      <td>Floral</td>\n",
       "      <td>Exact Ad Group</td>\n",
       "      <td>plates for kids</td>\n",
       "      <td>EXACT</td>\n",
       "      <td>plates for kids</td>\n",
       "      <td>713</td>\n",
       "      <td>17</td>\n",
       "      <td>2.38%</td>\n",
       "      <td>1.73</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29.47</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21</td>\n",
       "      <td>plates for kids Floral Exact Ad Group plates f...</td>\n",
       "      <td>plates for kids Floral</td>\n",
       "      <td>33.952381</td>\n",
       "      <td>1.403333</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>25-May-21</td>\n",
       "      <td>12-Jun-21</td>\n",
       "      <td>Rainforest</td>\n",
       "      <td>Exact Ad Group</td>\n",
       "      <td>plates for kids</td>\n",
       "      <td>EXACT</td>\n",
       "      <td>plates for kids</td>\n",
       "      <td>664</td>\n",
       "      <td>15</td>\n",
       "      <td>2.26%</td>\n",
       "      <td>1.83</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27.42</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18</td>\n",
       "      <td>plates for kids Rainforest Exact Ad Group plat...</td>\n",
       "      <td>plates for kids Rainforest</td>\n",
       "      <td>36.888889</td>\n",
       "      <td>1.523333</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>25-May-21</td>\n",
       "      <td>16-Jun-21</td>\n",
       "      <td>Floral</td>\n",
       "      <td>ASIN</td>\n",
       "      <td>asin=\"B07KYWP2MT\"</td>\n",
       "      <td>-</td>\n",
       "      <td>b07kywp2mt</td>\n",
       "      <td>3552</td>\n",
       "      <td>24</td>\n",
       "      <td>0.68%</td>\n",
       "      <td>0.98</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.48</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22</td>\n",
       "      <td>b07kywp2mt Floral ASIN asin=\"B07KYWP2MT\"</td>\n",
       "      <td>b07kywp2mt Floral</td>\n",
       "      <td>161.454545</td>\n",
       "      <td>1.067273</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>27-May-21</td>\n",
       "      <td>17-Jun-21</td>\n",
       "      <td>Floral</td>\n",
       "      <td>ASIN</td>\n",
       "      <td>asin=\"B01MG7OE9X\"</td>\n",
       "      <td>-</td>\n",
       "      <td>b01mg7oe9x</td>\n",
       "      <td>2136</td>\n",
       "      <td>28</td>\n",
       "      <td>1.31%</td>\n",
       "      <td>0.82</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.08</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21</td>\n",
       "      <td>b01mg7oe9x Floral ASIN asin=\"B01MG7OE9X\"</td>\n",
       "      <td>b01mg7oe9x Floral</td>\n",
       "      <td>101.714286</td>\n",
       "      <td>1.099048</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>26-May-21</td>\n",
       "      <td>12-Jun-21</td>\n",
       "      <td>Rainforest</td>\n",
       "      <td>ASIN</td>\n",
       "      <td>asin=\"B07DD9WBZW\"</td>\n",
       "      <td>-</td>\n",
       "      <td>b07dd9wbzw</td>\n",
       "      <td>1011</td>\n",
       "      <td>18</td>\n",
       "      <td>1.78%</td>\n",
       "      <td>1.12</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.19</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17</td>\n",
       "      <td>b07dd9wbzw Rainforest ASIN asin=\"B07DD9WBZW\"</td>\n",
       "      <td>b07dd9wbzw Rainforest</td>\n",
       "      <td>59.470588</td>\n",
       "      <td>1.187647</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>25-May-21</td>\n",
       "      <td>27-May-21</td>\n",
       "      <td>Rainforest</td>\n",
       "      <td>Broad Ad Group</td>\n",
       "      <td>kids plates and bowls</td>\n",
       "      <td>BROAD</td>\n",
       "      <td>kids plates and bowls sets</td>\n",
       "      <td>4271</td>\n",
       "      <td>15</td>\n",
       "      <td>0.35%</td>\n",
       "      <td>1.31</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19.69</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>kids plates and bowls sets Rainforest Broad Ad...</td>\n",
       "      <td>kids plates and bowls sets Rainforest</td>\n",
       "      <td>2135.500000</td>\n",
       "      <td>9.845000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>520</th>\n",
       "      <td>28-May-21</td>\n",
       "      <td>8-Jun-21</td>\n",
       "      <td>Floral</td>\n",
       "      <td>Exact Ad Group</td>\n",
       "      <td>toddler bowls</td>\n",
       "      <td>EXACT</td>\n",
       "      <td>toddler bowls</td>\n",
       "      <td>675</td>\n",
       "      <td>11</td>\n",
       "      <td>1.63%</td>\n",
       "      <td>1.76</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>toddler bowls Floral Exact Ad Group toddler bowls</td>\n",
       "      <td>toddler bowls Floral</td>\n",
       "      <td>61.363636</td>\n",
       "      <td>1.763636</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>25-May-21</td>\n",
       "      <td>11-Jun-21</td>\n",
       "      <td>Rainforest</td>\n",
       "      <td>ASIN</td>\n",
       "      <td>asin=\"B07KYWP2MT\"</td>\n",
       "      <td>-</td>\n",
       "      <td>b07kywp2mt</td>\n",
       "      <td>3495</td>\n",
       "      <td>21</td>\n",
       "      <td>0.60%</td>\n",
       "      <td>0.84</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.57</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17</td>\n",
       "      <td>b07kywp2mt Rainforest ASIN asin=\"B07KYWP2MT\"</td>\n",
       "      <td>b07kywp2mt Rainforest</td>\n",
       "      <td>205.588235</td>\n",
       "      <td>1.033529</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Start Date   End Date Campaign Name   Ad Group Name  \\\n",
       "376  26-May-21  19-Jun-21        Floral  Exact Ad Group   \n",
       "328   5-Jun-21  19-Jun-21        Floral            ASIN   \n",
       "357  27-May-21  17-Jun-21        Floral  Exact Ad Group   \n",
       "270  25-May-21  12-Jun-21    Rainforest  Exact Ad Group   \n",
       "342  25-May-21  16-Jun-21        Floral            ASIN   \n",
       "314  27-May-21  17-Jun-21        Floral            ASIN   \n",
       "257  26-May-21  12-Jun-21    Rainforest            ASIN   \n",
       "163  25-May-21  27-May-21    Rainforest  Broad Ad Group   \n",
       "520  28-May-21   8-Jun-21        Floral  Exact Ad Group   \n",
       "229  25-May-21  11-Jun-21    Rainforest            ASIN   \n",
       "\n",
       "                 Targeting Match Type        Customer Search Term  \\\n",
       "376  bamboo toddler plates      EXACT       bamboo toddler plates   \n",
       "328      asin=\"B08F2PR7JS\"          -                  b08f2pr7js   \n",
       "357        plates for kids      EXACT             plates for kids   \n",
       "270        plates for kids      EXACT             plates for kids   \n",
       "342      asin=\"B07KYWP2MT\"          -                  b07kywp2mt   \n",
       "314      asin=\"B01MG7OE9X\"          -                  b01mg7oe9x   \n",
       "257      asin=\"B07DD9WBZW\"          -                  b07dd9wbzw   \n",
       "163  kids plates and bowls      BROAD  kids plates and bowls sets   \n",
       "520          toddler bowls      EXACT               toddler bowls   \n",
       "229      asin=\"B07KYWP2MT\"          -                  b07kywp2mt   \n",
       "\n",
       "     Impressions  Clicks Click-Thru Rate (CTR)  Cost Per Click (CPC)  \\\n",
       "376          757      33                 4.36%                  2.15   \n",
       "328         5157      40                 0.78%                  0.76   \n",
       "357          713      17                 2.38%                  1.73   \n",
       "270          664      15                 2.26%                  1.83   \n",
       "342         3552      24                 0.68%                  0.98   \n",
       "314         2136      28                 1.31%                  0.82   \n",
       "257         1011      18                 1.78%                  1.12   \n",
       "163         4271      15                 0.35%                  1.31   \n",
       "520          675      11                 1.63%                  1.76   \n",
       "229         3495      21                 0.60%                  0.84   \n",
       "\n",
       "     7 Day Total Sales   Spend Total Advertising Cost of Sales (ACoS)   \\\n",
       "376                 0.0  70.82                                       0   \n",
       "328                 0.0  30.31                                       0   \n",
       "357                 0.0  29.47                                       0   \n",
       "270                 0.0  27.42                                       0   \n",
       "342                 0.0  23.48                                       0   \n",
       "314                 0.0  23.08                                       0   \n",
       "257                 0.0  20.19                                       0   \n",
       "163                 0.0  19.69                                       0   \n",
       "520                 0.0  19.40                                       0   \n",
       "229                 0.0  17.57                                       0   \n",
       "\n",
       "     Total Return on Advertising Spend (RoAS)  Number of Days  \\\n",
       "376                                       0.0              24   \n",
       "328                                       0.0              14   \n",
       "357                                       0.0              21   \n",
       "270                                       0.0              18   \n",
       "342                                       0.0              22   \n",
       "314                                       0.0              21   \n",
       "257                                       0.0              17   \n",
       "163                                       0.0               2   \n",
       "520                                       0.0              11   \n",
       "229                                       0.0              17   \n",
       "\n",
       "                                                   Key  \\\n",
       "376  bamboo toddler plates Floral Exact Ad Group ba...   \n",
       "328           b08f2pr7js Floral ASIN asin=\"B08F2PR7JS\"   \n",
       "357  plates for kids Floral Exact Ad Group plates f...   \n",
       "270  plates for kids Rainforest Exact Ad Group plat...   \n",
       "342           b07kywp2mt Floral ASIN asin=\"B07KYWP2MT\"   \n",
       "314           b01mg7oe9x Floral ASIN asin=\"B01MG7OE9X\"   \n",
       "257       b07dd9wbzw Rainforest ASIN asin=\"B07DD9WBZW\"   \n",
       "163  kids plates and bowls sets Rainforest Broad Ad...   \n",
       "520  toddler bowls Floral Exact Ad Group toddler bowls   \n",
       "229       b07kywp2mt Rainforest ASIN asin=\"B07KYWP2MT\"   \n",
       "\n",
       "                                 Short Key  Impressions Per Day  \\\n",
       "376           bamboo toddler plates Floral            31.541667   \n",
       "328                      b08f2pr7js Floral           368.357143   \n",
       "357                 plates for kids Floral            33.952381   \n",
       "270             plates for kids Rainforest            36.888889   \n",
       "342                      b07kywp2mt Floral           161.454545   \n",
       "314                      b01mg7oe9x Floral           101.714286   \n",
       "257                  b07dd9wbzw Rainforest            59.470588   \n",
       "163  kids plates and bowls sets Rainforest          2135.500000   \n",
       "520                   toddler bowls Floral            61.363636   \n",
       "229                  b07kywp2mt Rainforest           205.588235   \n",
       "\n",
       "     Spend Per Day  Sales Per Day  \n",
       "376       2.950833            0.0  \n",
       "328       2.165000            0.0  \n",
       "357       1.403333            0.0  \n",
       "270       1.523333            0.0  \n",
       "342       1.067273            0.0  \n",
       "314       1.099048            0.0  \n",
       "257       1.187647            0.0  \n",
       "163       9.845000            0.0  \n",
       "520       1.763636            0.0  \n",
       "229       1.033529            0.0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Top search terms to reasess\n",
    "zero = df.loc[df['Total Advertising Cost of Sales (ACoS) '] == '0']\n",
    "zero\n",
    "zero_df = zero.sort_values(by='Spend', ascending=False).head(10)\n",
    "zero_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = zero_df.plot.bar(x='Customer Search Term', y='Spend', rot=90)\n",
    "ax.set_xlabel(\"Customer Search Term\", fontsize=12)\n",
    "ax.set_ylabel(\"Spend(Dollars)\", fontsize=12)\n",
    "ax.set_title(\"Highest Spending With Zero Sales\", fontsize=16, fontweight=\"bold\")\n",
    "plt.show()\n",
    "plt.savefig('images\\zero.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>Start Date</th>\n",
       "      <th>End Date</th>\n",
       "      <th>Campaign Name</th>\n",
       "      <th>Ad Group Name</th>\n",
       "      <th>Targeting</th>\n",
       "      <th>Match Type</th>\n",
       "      <th>Customer Search Term</th>\n",
       "      <th>Impressions</th>\n",
       "      <th>Clicks</th>\n",
       "      <th>Click-Thru Rate (CTR)</th>\n",
       "      <th>Cost Per Click (CPC)</th>\n",
       "      <th>7 Day Total Sales</th>\n",
       "      <th>Spend</th>\n",
       "      <th>Total Advertising Cost of Sales (ACoS)</th>\n",
       "      <th>Total Return on Advertising Spend (RoAS)</th>\n",
       "      <th>Number of Days</th>\n",
       "      <th>Key</th>\n",
       "      <th>Short Key</th>\n",
       "      <th>Impressions Per Day</th>\n",
       "      <th>Spend Per Day</th>\n",
       "      <th>Sales Per Day</th>\n",
       "      <th>ACos</th>\n",
       "      <th>RoAS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>29-May-21</td>\n",
       "      <td>29-May-21</td>\n",
       "      <td>Rainforest</td>\n",
       "      <td>Broad Ad Group</td>\n",
       "      <td>bamboo kids plates</td>\n",
       "      <td>BROAD</td>\n",
       "      <td>bamboo kids plate set</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>50.00%</td>\n",
       "      <td>1.15</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.15</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>bamboo kids plate set Rainforest Broad Ad Grou...</td>\n",
       "      <td>bamboo kids plate set Rainforest</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.150000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>31-May-21</td>\n",
       "      <td>9-Jun-21</td>\n",
       "      <td>Rainforest</td>\n",
       "      <td>Broad Ad Group</td>\n",
       "      <td>bamboo kids plates</td>\n",
       "      <td>BROAD</td>\n",
       "      <td>bamboo kids plates and bowl sets</td>\n",
       "      <td>222</td>\n",
       "      <td>10</td>\n",
       "      <td>4.50%</td>\n",
       "      <td>1.50</td>\n",
       "      <td>49.98</td>\n",
       "      <td>15.01</td>\n",
       "      <td>30.03%</td>\n",
       "      <td>3.33</td>\n",
       "      <td>9</td>\n",
       "      <td>bamboo kids plates and bowl sets Rainforest Br...</td>\n",
       "      <td>bamboo kids plates and bowl sets Rainforest</td>\n",
       "      <td>24.666667</td>\n",
       "      <td>1.667778</td>\n",
       "      <td>5.553333</td>\n",
       "      <td>0.30032</td>\n",
       "      <td>3.329780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>26-May-21</td>\n",
       "      <td>26-May-21</td>\n",
       "      <td>Rainforest</td>\n",
       "      <td>Broad Ad Group</td>\n",
       "      <td>bamboo kids plates</td>\n",
       "      <td>BROAD</td>\n",
       "      <td>bamboo plate set kids</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>14.29%</td>\n",
       "      <td>2.47</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.47</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>bamboo plate set kids Rainforest Broad Ad Grou...</td>\n",
       "      <td>bamboo plate set kids Rainforest</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>2.470000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>29-May-21</td>\n",
       "      <td>29-May-21</td>\n",
       "      <td>Rainforest</td>\n",
       "      <td>Broad Ad Group</td>\n",
       "      <td>bamboo kids plates</td>\n",
       "      <td>BROAD</td>\n",
       "      <td>grow forward kids bamboo plates and bowl sets</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>12.50%</td>\n",
       "      <td>1.98</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.98</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>grow forward kids bamboo plates and bowl sets ...</td>\n",
       "      <td>grow forward kids bamboo plates and bowl sets ...</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>1.980000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11-Jun-21</td>\n",
       "      <td>11-Jun-21</td>\n",
       "      <td>Rainforest</td>\n",
       "      <td>Broad Ad Group</td>\n",
       "      <td>bamboo kids plates</td>\n",
       "      <td>BROAD</td>\n",
       "      <td>kids 10 inch dinner plate bamboo</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>100.00%</td>\n",
       "      <td>1.61</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.61</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>kids 10 inch dinner plate bamboo Rainforest Br...</td>\n",
       "      <td>kids 10 inch dinner plate bamboo Rainforest</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.610000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.000000</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",
       "      <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",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>561</th>\n",
       "      <td>19-Jun-21</td>\n",
       "      <td>19-Jun-21</td>\n",
       "      <td>Floral</td>\n",
       "      <td>Ultimate</td>\n",
       "      <td>*</td>\n",
       "      <td>-</td>\n",
       "      <td>b08njz1xy9</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>100.00%</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>b08njz1xy9 Floral Ultimate *</td>\n",
       "      <td>b08njz1xy9 Floral</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>3-Jun-21</td>\n",
       "      <td>3-Jun-21</td>\n",
       "      <td>Floral</td>\n",
       "      <td>Ultimate</td>\n",
       "      <td>*</td>\n",
       "      <td>-</td>\n",
       "      <td>b08x653v74</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>100.00%</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>b08x653v74 Floral Ultimate *</td>\n",
       "      <td>b08x653v74 Floral</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.150000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>563</th>\n",
       "      <td>30-May-21</td>\n",
       "      <td>15-Jun-21</td>\n",
       "      <td>Floral</td>\n",
       "      <td>Ultimate</td>\n",
       "      <td>*</td>\n",
       "      <td>-</td>\n",
       "      <td>grow forward</td>\n",
       "      <td>21</td>\n",
       "      <td>5</td>\n",
       "      <td>23.81%</td>\n",
       "      <td>0.12</td>\n",
       "      <td>24.99</td>\n",
       "      <td>0.62</td>\n",
       "      <td>2.48%</td>\n",
       "      <td>40.31</td>\n",
       "      <td>16</td>\n",
       "      <td>grow forward Floral Ultimate *</td>\n",
       "      <td>grow forward Floral</td>\n",
       "      <td>1.312500</td>\n",
       "      <td>0.038750</td>\n",
       "      <td>1.561875</td>\n",
       "      <td>0.02481</td>\n",
       "      <td>40.306452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</th>\n",
       "      <td>3-Jun-21</td>\n",
       "      <td>3-Jun-21</td>\n",
       "      <td>Floral</td>\n",
       "      <td>Ultimate</td>\n",
       "      <td>*</td>\n",
       "      <td>-</td>\n",
       "      <td>grow+forward</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>100.00%</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>grow+forward Floral Ultimate *</td>\n",
       "      <td>grow+forward Floral</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.240000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>565</th>\n",
       "      <td>9-Jun-21</td>\n",
       "      <td>9-Jun-21</td>\n",
       "      <td>Floral</td>\n",
       "      <td>Ultimate</td>\n",
       "      <td>*</td>\n",
       "      <td>-</td>\n",
       "      <td>wheat straw dinnerware sets</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>100.00%</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>wheat straw dinnerware sets Floral Ultimate *</td>\n",
       "      <td>wheat straw dinnerware sets Floral</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.060000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>566 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Start Date   End Date Campaign Name   Ad Group Name           Targeting  \\\n",
       "0    29-May-21  29-May-21    Rainforest  Broad Ad Group  bamboo kids plates   \n",
       "1    31-May-21   9-Jun-21    Rainforest  Broad Ad Group  bamboo kids plates   \n",
       "2    26-May-21  26-May-21    Rainforest  Broad Ad Group  bamboo kids plates   \n",
       "3    29-May-21  29-May-21    Rainforest  Broad Ad Group  bamboo kids plates   \n",
       "4    11-Jun-21  11-Jun-21    Rainforest  Broad Ad Group  bamboo kids plates   \n",
       "..         ...        ...           ...             ...                 ...   \n",
       "561  19-Jun-21  19-Jun-21        Floral        Ultimate                   *   \n",
       "562   3-Jun-21   3-Jun-21        Floral        Ultimate                   *   \n",
       "563  30-May-21  15-Jun-21        Floral        Ultimate                   *   \n",
       "564   3-Jun-21   3-Jun-21        Floral        Ultimate                   *   \n",
       "565   9-Jun-21   9-Jun-21        Floral        Ultimate                   *   \n",
       "\n",
       "    Match Type                           Customer Search Term  Impressions  \\\n",
       "0        BROAD                          bamboo kids plate set            2   \n",
       "1        BROAD               bamboo kids plates and bowl sets          222   \n",
       "2        BROAD                          bamboo plate set kids            7   \n",
       "3        BROAD  grow forward kids bamboo plates and bowl sets            8   \n",
       "4        BROAD               kids 10 inch dinner plate bamboo            1   \n",
       "..         ...                                            ...          ...   \n",
       "561          -                                     b08njz1xy9            1   \n",
       "562          -                                     b08x653v74            1   \n",
       "563          -                                   grow forward           21   \n",
       "564          -                                   grow+forward            1   \n",
       "565          -                    wheat straw dinnerware sets            1   \n",
       "\n",
       "     Clicks Click-Thru Rate (CTR)  Cost Per Click (CPC)  7 Day Total Sales   \\\n",
       "0         1                50.00%                  1.15                0.00   \n",
       "1        10                 4.50%                  1.50               49.98   \n",
       "2         1                14.29%                  2.47                0.00   \n",
       "3         1                12.50%                  1.98                0.00   \n",
       "4         1               100.00%                  1.61                0.00   \n",
       "..      ...                   ...                   ...                 ...   \n",
       "561       1               100.00%                  0.04                0.00   \n",
       "562       1               100.00%                  0.15                0.00   \n",
       "563       5                23.81%                  0.12               24.99   \n",
       "564       1               100.00%                  0.24                0.00   \n",
       "565       1               100.00%                  0.06                0.00   \n",
       "\n",
       "     Spend Total Advertising Cost of Sales (ACoS)   \\\n",
       "0     1.15                                       0   \n",
       "1    15.01                                  30.03%   \n",
       "2     2.47                                       0   \n",
       "3     1.98                                       0   \n",
       "4     1.61                                       0   \n",
       "..     ...                                     ...   \n",
       "561   0.04                                       0   \n",
       "562   0.15                                       0   \n",
       "563   0.62                                   2.48%   \n",
       "564   0.24                                       0   \n",
       "565   0.06                                       0   \n",
       "\n",
       "     Total Return on Advertising Spend (RoAS)  Number of Days  \\\n",
       "0                                        0.00               1   \n",
       "1                                        3.33               9   \n",
       "2                                        0.00               1   \n",
       "3                                        0.00               1   \n",
       "4                                        0.00               1   \n",
       "..                                        ...             ...   \n",
       "561                                      0.00               1   \n",
       "562                                      0.00               1   \n",
       "563                                     40.31              16   \n",
       "564                                      0.00               1   \n",
       "565                                      0.00               1   \n",
       "\n",
       "                                                   Key  \\\n",
       "0    bamboo kids plate set Rainforest Broad Ad Grou...   \n",
       "1    bamboo kids plates and bowl sets Rainforest Br...   \n",
       "2    bamboo plate set kids Rainforest Broad Ad Grou...   \n",
       "3    grow forward kids bamboo plates and bowl sets ...   \n",
       "4    kids 10 inch dinner plate bamboo Rainforest Br...   \n",
       "..                                                 ...   \n",
       "561                       b08njz1xy9 Floral Ultimate *   \n",
       "562                       b08x653v74 Floral Ultimate *   \n",
       "563                     grow forward Floral Ultimate *   \n",
       "564                     grow+forward Floral Ultimate *   \n",
       "565      wheat straw dinnerware sets Floral Ultimate *   \n",
       "\n",
       "                                             Short Key  Impressions Per Day  \\\n",
       "0                     bamboo kids plate set Rainforest             2.000000   \n",
       "1          bamboo kids plates and bowl sets Rainforest            24.666667   \n",
       "2                     bamboo plate set kids Rainforest             7.000000   \n",
       "3    grow forward kids bamboo plates and bowl sets ...             8.000000   \n",
       "4          kids 10 inch dinner plate bamboo Rainforest             1.000000   \n",
       "..                                                 ...                  ...   \n",
       "561                                  b08njz1xy9 Floral             1.000000   \n",
       "562                                  b08x653v74 Floral             1.000000   \n",
       "563                                grow forward Floral             1.312500   \n",
       "564                                grow+forward Floral             1.000000   \n",
       "565                 wheat straw dinnerware sets Floral             1.000000   \n",
       "\n",
       "     Spend Per Day  Sales Per Day     ACos       RoAS  \n",
       "0         1.150000       0.000000      inf   0.000000  \n",
       "1         1.667778       5.553333  0.30032   3.329780  \n",
       "2         2.470000       0.000000      inf   0.000000  \n",
       "3         1.980000       0.000000      inf   0.000000  \n",
       "4         1.610000       0.000000      inf   0.000000  \n",
       "..             ...            ...      ...        ...  \n",
       "561       0.040000       0.000000      inf   0.000000  \n",
       "562       0.150000       0.000000      inf   0.000000  \n",
       "563       0.038750       1.561875  0.02481  40.306452  \n",
       "564       0.240000       0.000000      inf   0.000000  \n",
       "565       0.060000       0.000000      inf   0.000000  \n",
       "\n",
       "[566 rows x 23 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['ACos'] = df['Spend']/df['7 Day Total Sales ']\n",
    "df['RoAS'] = df['7 Day Total Sales ']/df['Spend']\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.replace([np.inf, -np.inf], np.nan, inplace=True)\n",
    "df.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "ACos = df.sort_values(by='ACos', ascending=False).head(20)\n",
    "RoAS = df.sort_values(by='RoAS', ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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": [
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "colors = {'Rainforest':'darkgreen', 'Floral':'palevioletred'}\n",
    "c = RoAS['Campaign Name'].apply(lambda x: colors[x])\n",
    "\n",
    "\n",
    "ax = plt.subplot(111) #specify a subplot\n",
    "\n",
    "bars = ax.bar(RoAS['Short Key'], RoAS['RoAS'], color=c) #Plot data on subplot axis\n",
    "\n",
    "for i, j in colors.items(): #Loop over color dictionary\n",
    "    ax.bar(RoAS['Short Key'], RoAS['RoAS'],width=0,color=j,label=i) #Plot invisible bar graph but have the legends specified\n",
    "\n",
    "ax.set_title(\"Most Efficient Search Terms\", fontsize=16, fontweight=\"bold\")    \n",
    "    \n",
    "plt.xticks(rotation = 90)\n",
    "    \n",
    "ax.legend()\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>Start Date</th>\n",
       "      <th>End Date</th>\n",
       "      <th>Campaign Name</th>\n",
       "      <th>Ad Group Name</th>\n",
       "      <th>Targeting</th>\n",
       "      <th>Match Type</th>\n",
       "      <th>Customer Search Term</th>\n",
       "      <th>Impressions</th>\n",
       "      <th>Clicks</th>\n",
       "      <th>Click-Thru Rate (CTR)</th>\n",
       "      <th>Cost Per Click (CPC)</th>\n",
       "      <th>7 Day Total Sales</th>\n",
       "      <th>Spend</th>\n",
       "      <th>Total Advertising Cost of Sales (ACoS)</th>\n",
       "      <th>Total Return on Advertising Spend (RoAS)</th>\n",
       "      <th>Number of Days</th>\n",
       "      <th>Key</th>\n",
       "      <th>Short Key</th>\n",
       "      <th>Impressions Per Day</th>\n",
       "      <th>Spend Per Day</th>\n",
       "      <th>Sales Per Day</th>\n",
       "      <th>ACos</th>\n",
       "      <th>RoAS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>366</th>\n",
       "      <td>26-May-21</td>\n",
       "      <td>17-Jun-21</td>\n",
       "      <td>Floral</td>\n",
       "      <td>Exact Ad Group</td>\n",
       "      <td>toddler bowls and plates</td>\n",
       "      <td>EXACT</td>\n",
       "      <td>toddler bowls and plates</td>\n",
       "      <td>454</td>\n",
       "      <td>22</td>\n",
       "      <td>4.85%</td>\n",
       "      <td>2.05</td>\n",
       "      <td>24.99</td>\n",
       "      <td>45.15</td>\n",
       "      <td>180.67%</td>\n",
       "      <td>0.55</td>\n",
       "      <td>22</td>\n",
       "      <td>toddler bowls and plates Floral Exact Ad Group...</td>\n",
       "      <td>toddler bowls and plates Floral</td>\n",
       "      <td>20.636364</td>\n",
       "      <td>2.052273</td>\n",
       "      <td>1.135909</td>\n",
       "      <td>1.806723</td>\n",
       "      <td>0.553488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>515</th>\n",
       "      <td>28-May-21</td>\n",
       "      <td>7-Jun-21</td>\n",
       "      <td>Rainforest</td>\n",
       "      <td>Exact Ad Group</td>\n",
       "      <td>toddler bowls</td>\n",
       "      <td>EXACT</td>\n",
       "      <td>toddler bowls</td>\n",
       "      <td>1024</td>\n",
       "      <td>15</td>\n",
       "      <td>1.46%</td>\n",
       "      <td>1.71</td>\n",
       "      <td>24.99</td>\n",
       "      <td>25.68</td>\n",
       "      <td>102.76%</td>\n",
       "      <td>0.97</td>\n",
       "      <td>10</td>\n",
       "      <td>toddler bowls Rainforest Exact Ad Group toddle...</td>\n",
       "      <td>toddler bowls Rainforest</td>\n",
       "      <td>102.400000</td>\n",
       "      <td>2.568000</td>\n",
       "      <td>2.499000</td>\n",
       "      <td>1.027611</td>\n",
       "      <td>0.973131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361</th>\n",
       "      <td>28-May-21</td>\n",
       "      <td>17-Jun-21</td>\n",
       "      <td>Floral</td>\n",
       "      <td>Exact Ad Group</td>\n",
       "      <td>kids plates</td>\n",
       "      <td>EXACT</td>\n",
       "      <td>kids plate</td>\n",
       "      <td>1118</td>\n",
       "      <td>13</td>\n",
       "      <td>1.16%</td>\n",
       "      <td>1.83</td>\n",
       "      <td>24.99</td>\n",
       "      <td>23.77</td>\n",
       "      <td>95.12%</td>\n",
       "      <td>1.05</td>\n",
       "      <td>20</td>\n",
       "      <td>kids plate Floral Exact Ad Group kids plates</td>\n",
       "      <td>kids plate Floral</td>\n",
       "      <td>55.900000</td>\n",
       "      <td>1.188500</td>\n",
       "      <td>1.249500</td>\n",
       "      <td>0.951180</td>\n",
       "      <td>1.051325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>29-May-21</td>\n",
       "      <td>9-Jun-21</td>\n",
       "      <td>Rainforest</td>\n",
       "      <td>ASIN</td>\n",
       "      <td>asin=\"B0757H6FSM\"</td>\n",
       "      <td>-</td>\n",
       "      <td>b0757h6fsm</td>\n",
       "      <td>1170</td>\n",
       "      <td>17</td>\n",
       "      <td>1.45%</td>\n",
       "      <td>1.36</td>\n",
       "      <td>24.99</td>\n",
       "      <td>23.16</td>\n",
       "      <td>92.68%</td>\n",
       "      <td>1.08</td>\n",
       "      <td>11</td>\n",
       "      <td>b0757h6fsm Rainforest ASIN asin=\"B0757H6FSM\"</td>\n",
       "      <td>b0757h6fsm Rainforest</td>\n",
       "      <td>106.363636</td>\n",
       "      <td>2.105455</td>\n",
       "      <td>2.271818</td>\n",
       "      <td>0.926771</td>\n",
       "      <td>1.079016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>25-May-21</td>\n",
       "      <td>13-Jun-21</td>\n",
       "      <td>Floral</td>\n",
       "      <td>ASIN</td>\n",
       "      <td>asin=\"B07FP3NYST\"</td>\n",
       "      <td>-</td>\n",
       "      <td>b07fp3nyst</td>\n",
       "      <td>7693</td>\n",
       "      <td>56</td>\n",
       "      <td>0.73%</td>\n",
       "      <td>0.79</td>\n",
       "      <td>49.98</td>\n",
       "      <td>44.06</td>\n",
       "      <td>88.16%</td>\n",
       "      <td>1.13</td>\n",
       "      <td>19</td>\n",
       "      <td>b07fp3nyst Floral ASIN asin=\"B07FP3NYST\"</td>\n",
       "      <td>b07fp3nyst Floral</td>\n",
       "      <td>404.894737</td>\n",
       "      <td>2.318947</td>\n",
       "      <td>2.630526</td>\n",
       "      <td>0.881553</td>\n",
       "      <td>1.134362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>513</th>\n",
       "      <td>27-May-21</td>\n",
       "      <td>8-Jun-21</td>\n",
       "      <td>Rainforest</td>\n",
       "      <td>Exact Ad Group</td>\n",
       "      <td>kids plates and bowls</td>\n",
       "      <td>EXACT</td>\n",
       "      <td>kids plates and bowls</td>\n",
       "      <td>561</td>\n",
       "      <td>15</td>\n",
       "      <td>2.67%</td>\n",
       "      <td>1.43</td>\n",
       "      <td>24.99</td>\n",
       "      <td>21.50</td>\n",
       "      <td>86.03%</td>\n",
       "      <td>1.16</td>\n",
       "      <td>12</td>\n",
       "      <td>kids plates and bowls Rainforest Exact Ad Grou...</td>\n",
       "      <td>kids plates and bowls Rainforest</td>\n",
       "      <td>46.750000</td>\n",
       "      <td>1.791667</td>\n",
       "      <td>2.082500</td>\n",
       "      <td>0.860344</td>\n",
       "      <td>1.162326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>27-May-21</td>\n",
       "      <td>19-Jun-21</td>\n",
       "      <td>Floral</td>\n",
       "      <td>ASIN</td>\n",
       "      <td>asin=\"B08GP9CWXR\"</td>\n",
       "      <td>-</td>\n",
       "      <td>b08gp9cwxr</td>\n",
       "      <td>1548</td>\n",
       "      <td>35</td>\n",
       "      <td>2.26%</td>\n",
       "      <td>1.19</td>\n",
       "      <td>49.98</td>\n",
       "      <td>41.81</td>\n",
       "      <td>83.65%</td>\n",
       "      <td>1.20</td>\n",
       "      <td>23</td>\n",
       "      <td>b08gp9cwxr Floral ASIN asin=\"B08GP9CWXR\"</td>\n",
       "      <td>b08gp9cwxr Floral</td>\n",
       "      <td>67.304348</td>\n",
       "      <td>1.817826</td>\n",
       "      <td>2.173043</td>\n",
       "      <td>0.836535</td>\n",
       "      <td>1.195408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>28-May-21</td>\n",
       "      <td>12-Jun-21</td>\n",
       "      <td>Rainforest</td>\n",
       "      <td>ASIN</td>\n",
       "      <td>asin=\"B08GPDXNN4\"</td>\n",
       "      <td>-</td>\n",
       "      <td>b08gpdxnn4</td>\n",
       "      <td>833</td>\n",
       "      <td>25</td>\n",
       "      <td>3.00%</td>\n",
       "      <td>0.82</td>\n",
       "      <td>24.99</td>\n",
       "      <td>20.58</td>\n",
       "      <td>82.35%</td>\n",
       "      <td>1.21</td>\n",
       "      <td>15</td>\n",
       "      <td>b08gpdxnn4 Rainforest ASIN asin=\"B08GPDXNN4\"</td>\n",
       "      <td>b08gpdxnn4 Rainforest</td>\n",
       "      <td>55.533333</td>\n",
       "      <td>1.372000</td>\n",
       "      <td>1.666000</td>\n",
       "      <td>0.823529</td>\n",
       "      <td>1.214286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>27-May-21</td>\n",
       "      <td>15-Jun-21</td>\n",
       "      <td>Floral</td>\n",
       "      <td>ASIN</td>\n",
       "      <td>asin=\"B0757GLR1F\"</td>\n",
       "      <td>-</td>\n",
       "      <td>b0757glr1f</td>\n",
       "      <td>1268</td>\n",
       "      <td>17</td>\n",
       "      <td>1.34%</td>\n",
       "      <td>1.21</td>\n",
       "      <td>24.99</td>\n",
       "      <td>20.50</td>\n",
       "      <td>82.03%</td>\n",
       "      <td>1.22</td>\n",
       "      <td>19</td>\n",
       "      <td>b0757glr1f Floral ASIN asin=\"B0757GLR1F\"</td>\n",
       "      <td>b0757glr1f Floral</td>\n",
       "      <td>66.736842</td>\n",
       "      <td>1.078947</td>\n",
       "      <td>1.315263</td>\n",
       "      <td>0.820328</td>\n",
       "      <td>1.219024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>2-Jun-21</td>\n",
       "      <td>12-Jun-21</td>\n",
       "      <td>Rainforest</td>\n",
       "      <td>ASIN</td>\n",
       "      <td>asin=\"B08F2PR7JS\"</td>\n",
       "      <td>-</td>\n",
       "      <td>b08f2pr7js</td>\n",
       "      <td>4182</td>\n",
       "      <td>43</td>\n",
       "      <td>1.03%</td>\n",
       "      <td>0.90</td>\n",
       "      <td>49.98</td>\n",
       "      <td>38.56</td>\n",
       "      <td>77.15%</td>\n",
       "      <td>1.30</td>\n",
       "      <td>10</td>\n",
       "      <td>b08f2pr7js Rainforest ASIN asin=\"B08F2PR7JS\"</td>\n",
       "      <td>b08f2pr7js Rainforest</td>\n",
       "      <td>418.200000</td>\n",
       "      <td>3.856000</td>\n",
       "      <td>4.998000</td>\n",
       "      <td>0.771509</td>\n",
       "      <td>1.296162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>28-May-21</td>\n",
       "      <td>9-Jun-21</td>\n",
       "      <td>Rainforest</td>\n",
       "      <td>ASIN</td>\n",
       "      <td>asin=\"B0757GLR1F\"</td>\n",
       "      <td>-</td>\n",
       "      <td>b0757glr1f</td>\n",
       "      <td>1610</td>\n",
       "      <td>15</td>\n",
       "      <td>0.93%</td>\n",
       "      <td>1.28</td>\n",
       "      <td>24.99</td>\n",
       "      <td>19.21</td>\n",
       "      <td>76.87%</td>\n",
       "      <td>1.30</td>\n",
       "      <td>12</td>\n",
       "      <td>b0757glr1f Rainforest ASIN asin=\"B0757GLR1F\"</td>\n",
       "      <td>b0757glr1f Rainforest</td>\n",
       "      <td>134.166667</td>\n",
       "      <td>1.600833</td>\n",
       "      <td>2.082500</td>\n",
       "      <td>0.768707</td>\n",
       "      <td>1.300885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>368</th>\n",
       "      <td>25-May-21</td>\n",
       "      <td>17-Jun-21</td>\n",
       "      <td>Floral</td>\n",
       "      <td>Exact Ad Group</td>\n",
       "      <td>bamboo kids plates</td>\n",
       "      <td>EXACT</td>\n",
       "      <td>bamboo kids plates</td>\n",
       "      <td>2553</td>\n",
       "      <td>49</td>\n",
       "      <td>1.92%</td>\n",
       "      <td>1.57</td>\n",
       "      <td>99.96</td>\n",
       "      <td>76.81</td>\n",
       "      <td>76.84%</td>\n",
       "      <td>1.30</td>\n",
       "      <td>23</td>\n",
       "      <td>bamboo kids plates Floral Exact Ad Group bambo...</td>\n",
       "      <td>bamboo kids plates Floral</td>\n",
       "      <td>111.000000</td>\n",
       "      <td>3.339565</td>\n",
       "      <td>4.346087</td>\n",
       "      <td>0.768407</td>\n",
       "      <td>1.301393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>506</th>\n",
       "      <td>28-May-21</td>\n",
       "      <td>19-Jun-21</td>\n",
       "      <td>Floral</td>\n",
       "      <td>Exact Ad Group</td>\n",
       "      <td>toddler plates</td>\n",
       "      <td>EXACT</td>\n",
       "      <td>toddler plates</td>\n",
       "      <td>7732</td>\n",
       "      <td>192</td>\n",
       "      <td>2.48%</td>\n",
       "      <td>2.06</td>\n",
       "      <td>549.78</td>\n",
       "      <td>395.27</td>\n",
       "      <td>71.90%</td>\n",
       "      <td>1.39</td>\n",
       "      <td>22</td>\n",
       "      <td>toddler plates Floral Exact Ad Group toddler p...</td>\n",
       "      <td>toddler plates Floral</td>\n",
       "      <td>351.454545</td>\n",
       "      <td>17.966818</td>\n",
       "      <td>24.990000</td>\n",
       "      <td>0.718960</td>\n",
       "      <td>1.390897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>25-May-21</td>\n",
       "      <td>17-Jun-21</td>\n",
       "      <td>Floral</td>\n",
       "      <td>ASIN</td>\n",
       "      <td>asin=\"B08GP6TSG4\"</td>\n",
       "      <td>-</td>\n",
       "      <td>b08gp6tsg4</td>\n",
       "      <td>1174</td>\n",
       "      <td>25</td>\n",
       "      <td>2.13%</td>\n",
       "      <td>0.85</td>\n",
       "      <td>29.99</td>\n",
       "      <td>21.33</td>\n",
       "      <td>71.12%</td>\n",
       "      <td>1.41</td>\n",
       "      <td>23</td>\n",
       "      <td>b08gp6tsg4 Floral ASIN asin=\"B08GP6TSG4\"</td>\n",
       "      <td>b08gp6tsg4 Floral</td>\n",
       "      <td>51.043478</td>\n",
       "      <td>0.927391</td>\n",
       "      <td>1.303913</td>\n",
       "      <td>0.711237</td>\n",
       "      <td>1.406001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>517</th>\n",
       "      <td>28-May-21</td>\n",
       "      <td>12-Jun-21</td>\n",
       "      <td>Rainforest</td>\n",
       "      <td>Exact Ad Group</td>\n",
       "      <td>toddler plates</td>\n",
       "      <td>EXACT</td>\n",
       "      <td>toddler plates</td>\n",
       "      <td>6028</td>\n",
       "      <td>128</td>\n",
       "      <td>2.12%</td>\n",
       "      <td>2.07</td>\n",
       "      <td>374.85</td>\n",
       "      <td>264.62</td>\n",
       "      <td>70.59%</td>\n",
       "      <td>1.42</td>\n",
       "      <td>15</td>\n",
       "      <td>toddler plates Rainforest Exact Ad Group toddl...</td>\n",
       "      <td>toddler plates Rainforest</td>\n",
       "      <td>401.866667</td>\n",
       "      <td>17.641333</td>\n",
       "      <td>24.990000</td>\n",
       "      <td>0.705936</td>\n",
       "      <td>1.416560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>25-May-21</td>\n",
       "      <td>31-May-21</td>\n",
       "      <td>Floral</td>\n",
       "      <td>ASIN</td>\n",
       "      <td>asin=\"B0757HTB3P\"</td>\n",
       "      <td>-</td>\n",
       "      <td>b0757htb3p</td>\n",
       "      <td>489</td>\n",
       "      <td>11</td>\n",
       "      <td>2.25%</td>\n",
       "      <td>1.57</td>\n",
       "      <td>24.99</td>\n",
       "      <td>17.24</td>\n",
       "      <td>68.99%</td>\n",
       "      <td>1.45</td>\n",
       "      <td>6</td>\n",
       "      <td>b0757htb3p Floral ASIN asin=\"B0757HTB3P\"</td>\n",
       "      <td>b0757htb3p Floral</td>\n",
       "      <td>81.500000</td>\n",
       "      <td>2.873333</td>\n",
       "      <td>4.165000</td>\n",
       "      <td>0.689876</td>\n",
       "      <td>1.449536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>29-May-21</td>\n",
       "      <td>12-Jun-21</td>\n",
       "      <td>Rainforest</td>\n",
       "      <td>Exact Ad Group</td>\n",
       "      <td>toddler plates and bowls set</td>\n",
       "      <td>EXACT</td>\n",
       "      <td>toddler plates and bowls set</td>\n",
       "      <td>1626</td>\n",
       "      <td>36</td>\n",
       "      <td>2.21%</td>\n",
       "      <td>1.82</td>\n",
       "      <td>99.96</td>\n",
       "      <td>65.56</td>\n",
       "      <td>65.59%</td>\n",
       "      <td>1.52</td>\n",
       "      <td>14</td>\n",
       "      <td>toddler plates and bowls set Rainforest Exact ...</td>\n",
       "      <td>toddler plates and bowls set Rainforest</td>\n",
       "      <td>116.142857</td>\n",
       "      <td>4.682857</td>\n",
       "      <td>7.140000</td>\n",
       "      <td>0.655862</td>\n",
       "      <td>1.524710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>1-Jun-21</td>\n",
       "      <td>12-Jun-21</td>\n",
       "      <td>Rainforest</td>\n",
       "      <td>Exact Ad Group</td>\n",
       "      <td>kids plates</td>\n",
       "      <td>EXACT</td>\n",
       "      <td>kids plate</td>\n",
       "      <td>461</td>\n",
       "      <td>7</td>\n",
       "      <td>1.52%</td>\n",
       "      <td>2.29</td>\n",
       "      <td>24.99</td>\n",
       "      <td>16.06</td>\n",
       "      <td>64.27%</td>\n",
       "      <td>1.56</td>\n",
       "      <td>11</td>\n",
       "      <td>kids plate Rainforest Exact Ad Group kids plates</td>\n",
       "      <td>kids plate Rainforest</td>\n",
       "      <td>41.909091</td>\n",
       "      <td>1.460000</td>\n",
       "      <td>2.271818</td>\n",
       "      <td>0.642657</td>\n",
       "      <td>1.556040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>25-May-21</td>\n",
       "      <td>17-Jun-21</td>\n",
       "      <td>Floral</td>\n",
       "      <td>Exact Ad Group</td>\n",
       "      <td>kids bowls</td>\n",
       "      <td>EXACT</td>\n",
       "      <td>kids bowl</td>\n",
       "      <td>1102</td>\n",
       "      <td>10</td>\n",
       "      <td>0.91%</td>\n",
       "      <td>1.89</td>\n",
       "      <td>29.99</td>\n",
       "      <td>18.94</td>\n",
       "      <td>63.15%</td>\n",
       "      <td>1.58</td>\n",
       "      <td>23</td>\n",
       "      <td>kids bowl Floral Exact Ad Group kids bowls</td>\n",
       "      <td>kids bowl Floral</td>\n",
       "      <td>47.913043</td>\n",
       "      <td>0.823478</td>\n",
       "      <td>1.303913</td>\n",
       "      <td>0.631544</td>\n",
       "      <td>1.583421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>25-May-21</td>\n",
       "      <td>11-Jun-21</td>\n",
       "      <td>Rainforest</td>\n",
       "      <td>Exact Ad Group</td>\n",
       "      <td>kids bowls</td>\n",
       "      <td>EXACT</td>\n",
       "      <td>kids bowls</td>\n",
       "      <td>7309</td>\n",
       "      <td>52</td>\n",
       "      <td>0.71%</td>\n",
       "      <td>1.76</td>\n",
       "      <td>149.94</td>\n",
       "      <td>91.66</td>\n",
       "      <td>61.13%</td>\n",
       "      <td>1.64</td>\n",
       "      <td>17</td>\n",
       "      <td>kids bowls Rainforest Exact Ad Group kids bowls</td>\n",
       "      <td>kids bowls Rainforest</td>\n",
       "      <td>429.941176</td>\n",
       "      <td>5.391765</td>\n",
       "      <td>8.820000</td>\n",
       "      <td>0.611311</td>\n",
       "      <td>1.635828</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Start Date   End Date Campaign Name   Ad Group Name  \\\n",
       "366  26-May-21  17-Jun-21        Floral  Exact Ad Group   \n",
       "515  28-May-21   7-Jun-21    Rainforest  Exact Ad Group   \n",
       "361  28-May-21  17-Jun-21        Floral  Exact Ad Group   \n",
       "212  29-May-21   9-Jun-21    Rainforest            ASIN   \n",
       "325  25-May-21  13-Jun-21        Floral            ASIN   \n",
       "513  27-May-21   8-Jun-21    Rainforest  Exact Ad Group   \n",
       "347  27-May-21  19-Jun-21        Floral            ASIN   \n",
       "235  28-May-21  12-Jun-21    Rainforest            ASIN   \n",
       "337  27-May-21  15-Jun-21        Floral            ASIN   \n",
       "213   2-Jun-21  12-Jun-21    Rainforest            ASIN   \n",
       "222  28-May-21   9-Jun-21    Rainforest            ASIN   \n",
       "368  25-May-21  17-Jun-21        Floral  Exact Ad Group   \n",
       "506  28-May-21  19-Jun-21        Floral  Exact Ad Group   \n",
       "346  25-May-21  17-Jun-21        Floral            ASIN   \n",
       "517  28-May-21  12-Jun-21    Rainforest  Exact Ad Group   \n",
       "319  25-May-21  31-May-21        Floral            ASIN   \n",
       "283  29-May-21  12-Jun-21    Rainforest  Exact Ad Group   \n",
       "274   1-Jun-21  12-Jun-21    Rainforest  Exact Ad Group   \n",
       "349  25-May-21  17-Jun-21        Floral  Exact Ad Group   \n",
       "264  25-May-21  11-Jun-21    Rainforest  Exact Ad Group   \n",
       "\n",
       "                        Targeting Match Type          Customer Search Term  \\\n",
       "366      toddler bowls and plates      EXACT      toddler bowls and plates   \n",
       "515                 toddler bowls      EXACT                 toddler bowls   \n",
       "361                   kids plates      EXACT                    kids plate   \n",
       "212             asin=\"B0757H6FSM\"          -                    b0757h6fsm   \n",
       "325             asin=\"B07FP3NYST\"          -                    b07fp3nyst   \n",
       "513         kids plates and bowls      EXACT         kids plates and bowls   \n",
       "347             asin=\"B08GP9CWXR\"          -                    b08gp9cwxr   \n",
       "235             asin=\"B08GPDXNN4\"          -                    b08gpdxnn4   \n",
       "337             asin=\"B0757GLR1F\"          -                    b0757glr1f   \n",
       "213             asin=\"B08F2PR7JS\"          -                    b08f2pr7js   \n",
       "222             asin=\"B0757GLR1F\"          -                    b0757glr1f   \n",
       "368            bamboo kids plates      EXACT            bamboo kids plates   \n",
       "506                toddler plates      EXACT                toddler plates   \n",
       "346             asin=\"B08GP6TSG4\"          -                    b08gp6tsg4   \n",
       "517                toddler plates      EXACT                toddler plates   \n",
       "319             asin=\"B0757HTB3P\"          -                    b0757htb3p   \n",
       "283  toddler plates and bowls set      EXACT  toddler plates and bowls set   \n",
       "274                   kids plates      EXACT                    kids plate   \n",
       "349                    kids bowls      EXACT                     kids bowl   \n",
       "264                    kids bowls      EXACT                    kids bowls   \n",
       "\n",
       "     Impressions  Clicks Click-Thru Rate (CTR)  Cost Per Click (CPC)  \\\n",
       "366          454      22                 4.85%                  2.05   \n",
       "515         1024      15                 1.46%                  1.71   \n",
       "361         1118      13                 1.16%                  1.83   \n",
       "212         1170      17                 1.45%                  1.36   \n",
       "325         7693      56                 0.73%                  0.79   \n",
       "513          561      15                 2.67%                  1.43   \n",
       "347         1548      35                 2.26%                  1.19   \n",
       "235          833      25                 3.00%                  0.82   \n",
       "337         1268      17                 1.34%                  1.21   \n",
       "213         4182      43                 1.03%                  0.90   \n",
       "222         1610      15                 0.93%                  1.28   \n",
       "368         2553      49                 1.92%                  1.57   \n",
       "506         7732     192                 2.48%                  2.06   \n",
       "346         1174      25                 2.13%                  0.85   \n",
       "517         6028     128                 2.12%                  2.07   \n",
       "319          489      11                 2.25%                  1.57   \n",
       "283         1626      36                 2.21%                  1.82   \n",
       "274          461       7                 1.52%                  2.29   \n",
       "349         1102      10                 0.91%                  1.89   \n",
       "264         7309      52                 0.71%                  1.76   \n",
       "\n",
       "     7 Day Total Sales    Spend Total Advertising Cost of Sales (ACoS)   \\\n",
       "366               24.99   45.15                                 180.67%   \n",
       "515               24.99   25.68                                 102.76%   \n",
       "361               24.99   23.77                                  95.12%   \n",
       "212               24.99   23.16                                  92.68%   \n",
       "325               49.98   44.06                                  88.16%   \n",
       "513               24.99   21.50                                  86.03%   \n",
       "347               49.98   41.81                                  83.65%   \n",
       "235               24.99   20.58                                  82.35%   \n",
       "337               24.99   20.50                                  82.03%   \n",
       "213               49.98   38.56                                  77.15%   \n",
       "222               24.99   19.21                                  76.87%   \n",
       "368               99.96   76.81                                  76.84%   \n",
       "506              549.78  395.27                                  71.90%   \n",
       "346               29.99   21.33                                  71.12%   \n",
       "517              374.85  264.62                                  70.59%   \n",
       "319               24.99   17.24                                  68.99%   \n",
       "283               99.96   65.56                                  65.59%   \n",
       "274               24.99   16.06                                  64.27%   \n",
       "349               29.99   18.94                                  63.15%   \n",
       "264              149.94   91.66                                  61.13%   \n",
       "\n",
       "     Total Return on Advertising Spend (RoAS)  Number of Days  \\\n",
       "366                                      0.55              22   \n",
       "515                                      0.97              10   \n",
       "361                                      1.05              20   \n",
       "212                                      1.08              11   \n",
       "325                                      1.13              19   \n",
       "513                                      1.16              12   \n",
       "347                                      1.20              23   \n",
       "235                                      1.21              15   \n",
       "337                                      1.22              19   \n",
       "213                                      1.30              10   \n",
       "222                                      1.30              12   \n",
       "368                                      1.30              23   \n",
       "506                                      1.39              22   \n",
       "346                                      1.41              23   \n",
       "517                                      1.42              15   \n",
       "319                                      1.45               6   \n",
       "283                                      1.52              14   \n",
       "274                                      1.56              11   \n",
       "349                                      1.58              23   \n",
       "264                                      1.64              17   \n",
       "\n",
       "                                                   Key  \\\n",
       "366  toddler bowls and plates Floral Exact Ad Group...   \n",
       "515  toddler bowls Rainforest Exact Ad Group toddle...   \n",
       "361       kids plate Floral Exact Ad Group kids plates   \n",
       "212       b0757h6fsm Rainforest ASIN asin=\"B0757H6FSM\"   \n",
       "325           b07fp3nyst Floral ASIN asin=\"B07FP3NYST\"   \n",
       "513  kids plates and bowls Rainforest Exact Ad Grou...   \n",
       "347           b08gp9cwxr Floral ASIN asin=\"B08GP9CWXR\"   \n",
       "235       b08gpdxnn4 Rainforest ASIN asin=\"B08GPDXNN4\"   \n",
       "337           b0757glr1f Floral ASIN asin=\"B0757GLR1F\"   \n",
       "213       b08f2pr7js Rainforest ASIN asin=\"B08F2PR7JS\"   \n",
       "222       b0757glr1f Rainforest ASIN asin=\"B0757GLR1F\"   \n",
       "368  bamboo kids plates Floral Exact Ad Group bambo...   \n",
       "506  toddler plates Floral Exact Ad Group toddler p...   \n",
       "346           b08gp6tsg4 Floral ASIN asin=\"B08GP6TSG4\"   \n",
       "517  toddler plates Rainforest Exact Ad Group toddl...   \n",
       "319           b0757htb3p Floral ASIN asin=\"B0757HTB3P\"   \n",
       "283  toddler plates and bowls set Rainforest Exact ...   \n",
       "274   kids plate Rainforest Exact Ad Group kids plates   \n",
       "349         kids bowl Floral Exact Ad Group kids bowls   \n",
       "264    kids bowls Rainforest Exact Ad Group kids bowls   \n",
       "\n",
       "                                   Short Key  Impressions Per Day  \\\n",
       "366          toddler bowls and plates Floral            20.636364   \n",
       "515                 toddler bowls Rainforest           102.400000   \n",
       "361                        kids plate Floral            55.900000   \n",
       "212                    b0757h6fsm Rainforest           106.363636   \n",
       "325                        b07fp3nyst Floral           404.894737   \n",
       "513         kids plates and bowls Rainforest            46.750000   \n",
       "347                        b08gp9cwxr Floral            67.304348   \n",
       "235                    b08gpdxnn4 Rainforest            55.533333   \n",
       "337                        b0757glr1f Floral            66.736842   \n",
       "213                    b08f2pr7js Rainforest           418.200000   \n",
       "222                    b0757glr1f Rainforest           134.166667   \n",
       "368                bamboo kids plates Floral           111.000000   \n",
       "506                    toddler plates Floral           351.454545   \n",
       "346                        b08gp6tsg4 Floral            51.043478   \n",
       "517                toddler plates Rainforest           401.866667   \n",
       "319                        b0757htb3p Floral            81.500000   \n",
       "283  toddler plates and bowls set Rainforest           116.142857   \n",
       "274                    kids plate Rainforest            41.909091   \n",
       "349                         kids bowl Floral            47.913043   \n",
       "264                    kids bowls Rainforest           429.941176   \n",
       "\n",
       "     Spend Per Day  Sales Per Day      ACos      RoAS  \n",
       "366       2.052273       1.135909  1.806723  0.553488  \n",
       "515       2.568000       2.499000  1.027611  0.973131  \n",
       "361       1.188500       1.249500  0.951180  1.051325  \n",
       "212       2.105455       2.271818  0.926771  1.079016  \n",
       "325       2.318947       2.630526  0.881553  1.134362  \n",
       "513       1.791667       2.082500  0.860344  1.162326  \n",
       "347       1.817826       2.173043  0.836535  1.195408  \n",
       "235       1.372000       1.666000  0.823529  1.214286  \n",
       "337       1.078947       1.315263  0.820328  1.219024  \n",
       "213       3.856000       4.998000  0.771509  1.296162  \n",
       "222       1.600833       2.082500  0.768707  1.300885  \n",
       "368       3.339565       4.346087  0.768407  1.301393  \n",
       "506      17.966818      24.990000  0.718960  1.390897  \n",
       "346       0.927391       1.303913  0.711237  1.406001  \n",
       "517      17.641333      24.990000  0.705936  1.416560  \n",
       "319       2.873333       4.165000  0.689876  1.449536  \n",
       "283       4.682857       7.140000  0.655862  1.524710  \n",
       "274       1.460000       2.271818  0.642657  1.556040  \n",
       "349       0.823478       1.303913  0.631544  1.583421  \n",
       "264       5.391765       8.820000  0.611311  1.635828  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ACos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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": [
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "colors = {'Rainforest':'darkgreen', 'Floral':'palevioletred'}\n",
    "c = ACos['Campaign Name'].apply(lambda x: colors[x])\n",
    "\n",
    "\n",
    "ax = plt.subplot(111) #specify a subplot\n",
    "\n",
    "bars = ax.bar(ACos['Short Key'], ACos['ACos'], color=c) #Plot data on subplot axis\n",
    "\n",
    "for i, j in colors.items(): #Loop over color dictionary\n",
    "    ax.bar(ACos['Short Key'], ACos['ACos'],width=0,color=j,label=i) #Plot invisible bar graph but have the legends specified\n",
    "\n",
    "ax.set_title(\"Most Efficient Search Terms\", fontsize=16, fontweight=\"bold\")    \n",
    "    \n",
    "plt.xticks(rotation = 90)\n",
    "    \n",
    "ax.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAHdCAYAAAAHAO5iAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAAB0JUlEQVR4nO2dd5gkVfW/3w/LkuPCksMCXyRIzjkKiBIVBCQJKKKoGBFUfoCJIKAICCIIiLJIlKAoQTICsrAkAUHiApLDSg7n98e5vVPTWzNdt7tmenb2vM/TT3dV9z19urq7Tt1zT5CZEQRBEATNTNNtBYIgCIKhSRiIIAiCoJQwEEEQBEEpYSCCIAiCUsJABEEQBKWEgQiCIAhKCQMRDCqSDpNk6XZYyfON56ywb0xh/5ltvm/HMjolffbDJH0uY8x1xWOSbm9Kui/JmrGPcetKOlfSU5LekfSapNslHSxp1n7eb2zTe23Zx+uml3SApHGSXkk6TZB0o6QT+3uPYMph2m4rEARTEYem++uBMzuQMyPw0XRbAfhU8clkeA9tGjMdsHq67SNpCzP7T9O4WYBtmsbtDlxRosPFQLPxWDDd1gOOBCZW+zjBUCVmEMGQx8weNzOl2+e6rU8X2RgYiZ+YP0j7tpe0YOMFknakxzi8DnwaNyhjgAvT/iWAiySNaJL/aWCmpn3bJsMxCUmr0WMc/gIsCswA/B+wE2483s//eMFQIwxEMOTpzz0kaU9J/5b0tqS7JH28yS0zpg+Zn5F0j6S3JD0gac+S16wl6WJJz0l6T9Izks5slilpRUkXSXo6uXNeknSnpF9LGinpc0WXGbBhQb/rco6Fmb1vZn8F7insXqTw+P8VHv/AzC4ys7fN7Angs8B/03MrANs2id+98PiMdD8TTTMUYMnC45vN7Ekze8fM/mNm55nZp8zsvwRTPGEggikWSbvjrpolgemBlYDLgGVaDP048EdgefzKd2ngTEnrFWR/BrgJ2A6YB3fHzg/sCYyTtFR63UzA1cD2wAK4K2cUsDKwb9JrIFDh8fNJl/mB5Qr7f1ccYGbvAucWdm0+SZi0AD5DAbgLOLrwuqLhAHiq8PhHkv4m6fuSNpY0Q9anCIY0YSCCbnJo8wJs1YGSpgF+Wti1DzA7cDB+Qu+PeYEvA3MARxX2755kzwScDIwA7sQNyPT4CfRd3AD8LI1ZBpg7PT4QNzijcT/8EcD7ZnammRVP6NcXXGYbVfvEjqRpJX0cnwEA/LOwllCcSbxiZq+ViHis8Lj4+s/Scz64wMweBP6VtjdJBqTBLcBt6fE0uKH5MfB34DlJh6fvJ5jCiS8xmFL5CLBQeny3mf3WzF4HjgUmtBg7zsxOTifQ3xf2L5ru18WNAMAqwIPAO8C1+AwBYLN0/xQ9/vadge8CmwDPmdn3zOzt7E/WN9cC7+GLxtMA1zG5+6dBX8ZWfbymOEu4sOl+GmCXSYPMPgQ+hhvJZ5rkz4a7ub7Wx/sHUxBhIIJucnjhSlpNV9mtmLvw+MnGA/PyxK0MxEOFx28UHjfcI61mIAAzSJrZzJ4H9gNexI3J4bj76uEU8jlbBVntMjO9/8NPFh6PkjR7yZgxhcdPAUhajp4ZyRPAyLTvgcJre7mZzOx/ZnYgbqSXB75K73WRHat/jGCoEgYimFJ5sfC4GMUjemYWffFe4XHZlfbzhce/aTZiyZBNY2ZvAJjZ6cB8+Iny08Av09j1gP0rfZpqbIy70X6etlcHLm5EI5nZs8B9hdf3OqlLmg6PMmpwZcnrFgXuTbdzCvtXTEYDSTM3XEjm3GdmJ9I77HUUwRRPGIhgSuUhemYKq0j6bErO+hatDUQrbgFeSY/3bMiWNDoloP0M+AWApLklHQOsjRuWy4BLCrKKfv6X0v2ikuZsR7HkRvs2vpAMPmvZp/CSHxUe/1jS9pJmkLQIcDa+0A5uAC5JJ/rPVnz73dL92sADkr4tabkkf3Z8Ab/BA5MPD6Y4zCxucRu0G3AYftVuwGElzzees8K+MYX9Zxb27158fbq9h5+oG9uLtpBR3H9dYf8ueK5Bs/xeMnBj1NdrDNiuIPPykucnOwZNx+O6wms3KuzfvLD/aWDGwnOHt9DpEWCJ9NpNCvtvLXn/jxSefwq/qPxYC/nvAGt2+7cWt85vMYMIpljM7GxgL/yE9y5wN54JXHQRvdym7LG4i+hC4Dl8IfoF4A488unY9NJXcJfPP3G31wd4BvEtwGfN7E8FsV/FE8teoUPM7ErgmrS5AIVFYTM7FFgfOA83Hu8lne4Avg+sYj2RT41ZATSFxSZZ/wZuTZsLARvikV1fBy4F/oMn5L0PPAtcBKxnZrc1ywqmPJSuEoJgikPSKGBZ4BYz+zCtP+wJ/BaP1rnNzNbqpo5BMCUTtZiCKZkFgBuBdyQ9D8wJNMpC/I8ItQyCjggXUzAl8zweUvpfPDltJO5uOhVY0cxu76JuQTDFEy6mIAiCoJSYQQRBEASlDIqBkPRbSc9Luq/kuW+nOjxzF/YdLOkRSQ9J2mIwdAyCIAh6M1iL1GcCJ9IURidpYbymzZOFfcviNW0+ii9CXi3pI2b2Af0w99xz25gxY+rVOgiCYJgzbty4F81sdNlzg2IgzOyGPury/xyvgFnMPN0WONfM3gEek/QIsAbwj/7eY8yYMdxxxx01aRwEQTB1IOmJvp7r2hqEpG2Ap83s7qanFqR3vfkJFGrtNMnYV9Idku544YUXBkjTIAiCqZOuGIhUb//79O5+Nenpkn2loVZmdqqZrWZmq40eXTpDCoIgCNqkW4lySwCLAXd78isLAXdKWgOfMSxceO1CTF5zPgiCIBhgumIgzOxeCjX3JT0OrGZmL0q6FDhH0nH4IvWSQCQ8BUFQK++99x4TJkzg7bfr7Ok0dJlhhhlYaKGFGDlyZOUxg2IgJI0FNgLmljQBONS8hv5kmNn9ks7D2x2+D+zfKoIpCIIglwkTJjDrrLMyZswYkidj2GJmvPTSS0yYMIHFFlus8rjBimLapcXzY5q2fwL8ZCB1CoJg6ubtt9+eKowDgCTmmmsucoN5IpM6CIKplqnBODRo57OGgQiCIOgSI0aMYKWVVmK55ZZj66235tVXX2055v3332fuuefm4IMP7rX/8ssvZ+WVV2bFFVdk2WWX5de//nXH+g3rct9jDvpzv88/fuQnB0mTIAiGOq3OF7lUOb/MOOOMjB8/HoA999yTk046ie9///v9jrnyyitZaqmlOO+88/jpT3+KJN577z323Xdfbr/9dhZaaCHeeecdHn/88Y4/Q8wggiAIhgBrr702Tz/9NADjx49nrbXWYoUVVmD77bfnlVd6mhCOHTuWAw44gEUWWYRbb/VmfxMnTuT9999nrrnmAmD66adnqaWW6linMBBBEARd5oMPPuCaa65hm222AWCPPfbgqKOO4p577mH55Zfn8MMPB+Ctt97immuuYauttmKXXXZh7NixAIwaNYptttmGRRddlF122YU//OEPfPjhhx3rFQYiCIKgS7z11lustNJKzDXXXLz88ststtlmvPbaa7z66qtsuOGGgLuebrjhBsDXGTbeeGNmmmkmPv3pT3PxxRfzwQeeBXDaaadxzTXXsMYaa3DMMcew9957d6xfGIggCIIu0ViDeOKJJ3j33Xc56aST+n392LFjufrqqxkzZgyrrroqL730Etdee+2k55dffnm+8Y1vcNVVV3HhhRd2rF8YiCAIgi4z++yz88tf/pJjjjmGmWaaiTnnnJMbb7wRgLPPPpsNN9yQ119/nZtuuoknn3ySxx9/nMcff5yTTjqJsWPH8r///Y/rrrtukrzx48ez6KKLdqzXsI5iCoIgmFJohKiee+65nHXWWey33368+eabLL744pxxxhlcdNFFbLLJJkw//fSTxmy77bYceOCBHHfccRx99NF88YtfZMYZZ2TmmWfmzDPP7FinYdOTerXVVrPmfhAR5hoEQV888MADLLPMMt1WY1Ap+8ySxpnZamWvDxdTEARBUEoYiCAIgqCUMBBBEARBKWEggiCYahkua7BVaOezhoEIgmCqZIYZZuCll16aKoxEox/EDDPMkDUuwlyDIJgqWWihhZgwYUJ2j4QplUZHuRzCQARBMFUycuTIrO5qUyPhYgqCIAhKCQMRBEEQlBIGIgiCICglDEQQBEFQShiIIAiCoJRBMRCSfivpeUn3Ffb9TNKDku6RdLGkOQrPHSzpEUkPSdpiMHQMgiAIejNYM4gzgY837bsKWM7MVgD+DRwMIGlZYGfgo2nMrySNGCQ9gyAIgsSgGAgzuwF4uWnflWb2ftq8FWhkcGwLnGtm75jZY8AjwBqDoWcQBEHQw1BZg9gbuCI9XhB4qvDchLRvMiTtK+kOSXdMLdmQQRAEg0XXDYSk7wPvA39o7Cp5WWmxFDM71cxWM7PVRo8ePVAqBkEQTJV0tdSGpD2BrYBNradi1gRg4cLLFgKeGWzdgiAIpna6NoOQ9HHgu8A2ZvZm4alLgZ0lTS9pMWBJ4PZu6BgEQTA1MygzCEljgY2AuSVNAA7Fo5amB66SBHCrme1nZvdLOg/4F+562t/MPhgMPYMgCIIeBsVAmNkuJbtP7+f1PwF+MnAaBUEQBK3o+iJ1EARBMDQJAxEEQRCUEgYiCIIgKCUMRBAEQVBKGIggCIKglDAQQRAEQSlhIIIgCIJSwkAEQRAEpYSBCIIgCEoJAxEEQRCUEgYiCIIgKCUMRBAEQVBKGIggCIKglDAQQRAEQSlhIIIgCIJSwkAEQRAEpYSBCIIgCEoJAxEEQRCUEgYiCIIgKCUMRBAEQVBKGIggCIKglEExEJJ+K+l5SfcV9o2SdJWkh9P9nIXnDpb0iKSHJG0xGDoGQRAEvRmsGcSZwMeb9h0EXGNmSwLXpG0kLQvsDHw0jfmVpBGDpGcQBEGQGBQDYWY3AC837d4WOCs9PgvYrrD/XDN7x8weAx4B1hgMPYMgCIIeurkGMa+ZPQuQ7udJ+xcEniq8bkLaFwRBEAwiQ3GRWiX7rPSF0r6S7pB0xwsvvDDAagVBEExddNNAPCdpfoB0/3zaPwFYuPC6hYBnygSY2almtpqZrTZ69OgBVTYIgmBqo5sG4lJgz/R4T+CSwv6dJU0vaTFgSeD2LugXBEEwVTPtYLyJpLHARsDckiYAhwJHAudJ2gd4EtgRwMzul3Qe8C/gfWB/M/tgMPQMgiAIehgUA2Fmu/Tx1KZ9vP4nwE8GTqMgCIKgFUNxkToIgiAYAoSBCIIgCEoJAxEEQRCUEgYiCIIgKCUMRBAEQVBKGIggCIKglDAQQRAEQSlhIIIgCIJSwkAEQRAEpYSBCIIgCEoJAxEEQRCUEgYiCIIgKCUMRBAEQVBKGIggCIKglDAQQRAEQSlhIIIgCIJSwkAEQRAEpYSBCIIgCEoJAxEEQRCUEgYiCIIgKCUMRBAEQVBKGIggCIKglGm7rYCkbwCfBwy4F9gLmAn4IzAGeBz4jJm9Mti6jTnozy1f8/iRnxwETYIgCAafrs4gJC0IfA1YzcyWA0YAOwMHAdeY2ZLANWk7CIIgGESGgotpWmBGSdPiM4dngG2Bs9LzZwHbdUe1IAiCqZeuGggzexo4BngSeBZ4zcyuBOY1s2fTa54F5ikbL2lfSXdIuuOFF14YLLWDIAimCrrtYpoTny0sBiwAzCxpt6rjzexUM1vNzFYbPXr0QKkZBEEwVdK2gUgn9075GPCYmb1gZu8BFwHrAM9Jmj+9z/zA8zW8VxAEQZBBSwMhaQ9JWxS2V5P0FPCipIckLdXB+z8JrCVpJkkCNgUeAC4F9kyv2RO4pIP3CIIgCNqgygziW8B/C9unAlcDK6T7n7X75mZ2G3ABcCce4jpNkn8ksJmkh4HN0nYQBEEwiFTJg1gEP3kjaWFgeeBjZvaypIOARzpRwMwOBQ5t2v0OPpsIgiAIukSVGcT7wHTp8TrAg2b2ctp+E5hxIBQLgiAIuksVA3E98BNJKwBfBS4rPLc0vd1PQRAEwTChioE4AFgZuBmfMRxVeG534K8DoFcQBEHQZVquQaRktk36eO4gSUMhGzsIgiComU7yIJaX9DNgQo36BEEQBEOELAMhabSkAyTdCYwH1sBdUEEQBMEwo6WLSdJIYBvgc8AWeFjrWGBRYEcziyznIAiCYUiVGcRzwK+Bh4C1zGxZM/sR8O6AahYEQRB0lSoG4h5gDmBNYPWaajAFQRAEQ5yWBsLMNgKWAK4Evg38V9JlwMzAyAHVLgiCIOgalRapzewJM/tR6vC2KZ4c9yFwt6SjB1LBIAiCoDtk96Q2s5uAmyR9Fdge2KN2rYYRrfpaR0/rIAiGKlkGIrUFXQdYEM9/ON/Mxg6EYkEQBEF3qWwgJC2N12GaEXgKWBh4W9JWZvbgAOkXBEEQdImcRLlf4b0aFjaztc1sIeAU4OQB0SwIgiDoKjkGYiXgODOzwr5fpP1BEATBMCPHQDwDbNi0b/20PwiCIBhm5CxSfw+4VNLlwBPAGOATwG4DoFcQBEHQZSrPIMzsUrwvxH3ArHiG9aaEgQiCIBiWtDQQkmaS9KOUPf0l4JfAscBqwDVAFOsLgiAYhlRxMZ2Ezxz+BmwJLI+3Gj0T+IKZvThg2gVBEARdo4qB2AJYycyel3QC8CSwkZndMLCqBUEQBN2kyhrELI2eD2Y2AfhfncZB0hySLpD0oKQHJK0taZSkqyQ9nO6jgmwQBMEgU2UGMa2kjQE1djRvm9nfO9DheOCvZraDpOmAmfCIqWvM7EhJBwEHAd/t4D2CIAiCTKoYiOeB3xa2X2raNmDxdt5c0mzABni3OszsXeBdSdsCG6WXnQVcRxiIIAiCQaWlgTCzMQP4/osDLwBnSFoRGIf3uJ7XzJ5N7/+spHnKBkvaF9gXYJFFFhlANYMgCKY+cjKpB4JpgVWAk81sZeAN3J1UCTM71cxWM7PVRo8ePVA6BkEQTJV020BMACaY2W1p+wLcYDwnaX6AdB+5FkEQBINMVw2Emf0XeErSUmnXpsC/gEuBPdO+PYFLuqBeEATBVE12R7kB4KvAH1IE06PAXrjhOk/SPnjexY5d1C8IgmCqpOsGwszG42U7mtl0kFUJgiAICnR7DSIIgiAYooSBCIIgCEoJAxEEQRCUEgYiCIIgKKXri9RBa8Yc9Od+n3/8yE8OkiZBEExNxAwiCIIgKCUMRBAEQVBKGIggCIKglDAQQRAEQSlhIIIgCIJSwkAEQRAEpYSBCIIgCEoJAxEEQRCUEgYiCIIgKCUMRBAEQVBKGIggCIKglDAQQRAEQSlhIIIgCIJSwkAEQRAEpYSBCIIgCEoJAxEEQRCUMiQMhKQRku6SdHnaHiXpKkkPp/s5u61jEATB1MaQMBDAAcADhe2DgGvMbEngmrQdBEEQDCJdNxCSFgI+CZxW2L0tcFZ6fBaw3SCrFQRBMNUzFHpS/wI4EJi1sG9eM3sWwMyelTRPNxQbLrTqaQ3R1zoIgsnp6gxC0lbA82Y2rs3x+0q6Q9IdL7zwQs3aBUEQTN1028W0LrCNpMeBc4FNJP0eeE7S/ADp/vmywWZ2qpmtZmarjR49erB0DoIgmCroqoEws4PNbCEzGwPsDPzdzHYDLgX2TC/bE7ikSyoGQRBMtXR7BtEXRwKbSXoY2CxtB0EQBIPIUFikBsDMrgOuS49fAjbtpj5BEARTO0N1BhEEQRB0mSEzgwiGNnWEyraSEaG2QTC0iBlEEARBUEoYiCAIgqCUcDEFUxThpgqCwSMMRDBVEWVHgqA64WIKgiAISgkDEQRBEJQSBiIIgiAoJQxEEARBUEoYiCAIgqCUMBBBEARBKWEggiAIglLCQARBEASlhIEIgiAISgkDEQRBEJQSBiIIgiAoJWoxBUEmUc8pmFoIAxEEXSCq0gZTAuFiCoIgCEoJAxEEQRCUEi6mIJhC6dRNFWspQSu6OoOQtLCkayU9IOl+SQek/aMkXSXp4XQ/Zzf1DIIgmBrp9gzifeBbZnanpFmBcZKuAj4HXGNmR0o6CDgI+G4X9QyCoISYhQxvumogzOxZ4Nn0eKKkB4AFgW2BjdLLzgKuIwxEEAxL6ojoiqiwgaHbM4hJSBoDrAzcBsybjAdm9qykefoYsy+wL8AiiywySJoGQTDciJlQOUMiiknSLMCFwNfN7PWq48zsVDNbzcxWGz169MApGARBMBXS9RmEpJG4cfiDmV2Udj8naf40e5gfeL57GgZBELRmqLjK6nS3dTuKScDpwANmdlzhqUuBPdPjPYFLBlu3IAiCqZ1uzyDWBXYH7pU0Pu37HnAkcJ6kfYAngR27o14QBMHUS7ejmG4C1MfTmw6mLkEQBEFvhsQidRAEQTD0CAMRBEEQlBIGIgiCICglDEQQBEFQShiIIAiCoJQwEEEQBEEpYSCCIAiCUsJABEEQBKWEgQiCIAhKCQMRBEEQlBIGIgiCICglDEQQBEFQShiIIAiCoJQwEEEQBEEpYSCCIAiCUsJABEEQBKWEgQiCIAhKCQMRBEEQlBIGIgiCICglDEQQBEFQShiIIAiCoJQwEEEQBEEpQ9pASPq4pIckPSLpoG7rEwRBMDUxZA2EpBHAScCWwLLALpKW7a5WQRAEUw9D1kAAawCPmNmjZvYucC6wbZd1CoIgmGqQmXVbh1Ik7QB83Mw+n7Z3B9Y0s68UXrMvsG/aXAp4qIXYuYEXO1Cr0/HDScZQ0GGoyBgKOgwVGUNBh6EiYyjoUEXGomY2uuyJaTt844FEJft6WTMzOxU4tbJA6Q4zW61thTocP5xkDAUdhoqMoaDDUJExFHQYKjKGgg6dyhjKLqYJwMKF7YWAZ7qkSxAEwVTHUDYQ/wSWlLSYpOmAnYFLu6xTEATBVMOQdTGZ2fuSvgL8DRgB/NbM7u9QbGV31ACNH04yhoIOQ0XGUNBhqMgYCjoMFRlDQYeOZAzZReogCIKguwxlF1MQBEHQRcJABEEQBKWEgQi6gqQ5Ja3QhfedRtJnBvt9B5r0uWZrY9y6VfZVlNXxd1qTjLaOxXCk02MRBqIFklaU9JV0W7Hb+kzJSLpO0mySRgF3A2dIOq7i2MskXdrXraoOZvYh8JWWL+xfl3UlzZwe7ybpOEmLtiFnPUl7pcejJS2WOf6cdDxnBv4FPCTpO5lqnFBxX186tP2d1iyj42MhaV5Jp0u6Im0vK2mfjPE7Spo1Pf6BpIskrZKpwxKSpk+PN5L0NUlzZMqo43fhmNmwuwETgdf7umXIOQC4D/hhut0LfLUNfdYFrgL+DTwKPAY8mjF+EWCO9HgMsAOw3GAdC2BUf7eMz3FXuv88cHh6fE/FsRv2d8v8Pg4Bvo3n2bTzOe7BEzlXTI8PAK7P1OFQ4DLg32l7AeDmTBnj0/2uwHHAyIzjuTbwLeAp4JuF22HA3YPxndYso+1jUZBxBfCZxufHozzvzfldpPv1gBvx0kC35X6O9L7/B/wH+Dnwl8E+Fo3bkA1z7QQza1jxHwL/Bc7G/9C7ArNmiNoHL+/xRpJ3FPAPMq6wEqcD3wDGAR/kDExVbL8IvCPpGPzEdjNwuKTTzazfK62ajsU4PIu9r+z2xSvKmVbS/Pif8PsVx/ibmF0PIGkT4FYzezNnfBN7p/v9i29B9c/xvpmZpG2B483sdEl7ZuqwPbAycCeAmT3TuPrMYKSkkcB2wIlm9p6kqmGJ0wGz4Cej4vu+jl+AVKXt77RmGZ0ciwZzm9l5kg6GSaH2Of/Xxms/CZxsZpdIOixThw/T+24P/MLMTpB0V6aMOo6F045VmVJulFjvsn39jL8XmKGwPQMZVxTtvGfJ2PuBGYG58NnA6LR/ZuC+wToWNX0fO+JX3L9K24sDF2bK+B0+E/sHcDSwNTDnIH+O64GDkx7z4Xk6Wb8L4PZ0f2fh+8y94v0a8DTwF9x4LwrcmClj0cb7t3ksdqjhO238Lk7uQEYdx+K69D9rfCdrkTEzBC4Hfo1f+c8BTE/GbCzJuA3YBfdcLJb2Vf6fp9d/tdNjMUlWO4OmlBtwC36lPAJfb9kVuCVj/Ddxn+hh6TYe+HobehwJ/Ayf1q/SuFUc25i2jgCeB6YpPJdjIDo6FgU5n8KnrccC23Xxu10gnRSexK/oc8bOBPwAODVtLwlslTF+vvTbWD9tLwLskanDt9PJ5FHgC7jBy3ZflsidNvP1a+N+6ifT9oqNk32FsSOAb3TrNzAAx2IVfHb+Wrr/N7BC5u/qU8CSaXt+YPNMHZYFfgnskrYXAw7KGD8N8Jmmfco9Fo3bsE6UkzQGOB5fAzD8S/+6mT2eIWMV3Kco4AYzy53uIenakt1mZptUGHsm7g6YGXgTeB/4K7AJMKuZVYrIqelY/Ar3jY5Nu3YC/mNm+/c9CiSdQFOhxSJm9rUMHXYD1geWxytU3oRfHf0jQ8YfcbfZHma2nKQZgX+Y2UoVxo4A/mZmH6v6fiUyhNcWWxrYHP9t/c3Mrqo4/pv9PW8t3I5Nsm7DZwGXmtnKad99ZrZcxfHXmtnGVd+vDxkfAU4G5k3fxwrANmb24wwZ8wI/BRYwsy3lvWPWNrPTK44fgV9wnIBXhhbwkJm9V2HsqP6eN7OXq+hQF5JuMLMN6pA1LNcgYNIXvr+ZbduBjLWA+83szrQ9q6Q1zey2HDkd/oE+j0/BDbgA75PxWby0+UlVBNRxLBIb4ovjluSehbvhWnFHh+9b5Bf4FP4U4NocA1dgCTPbSdIuAGb2Vjppt8TMPpD0pqTZzey1Nt4bMzNJfzKzVfHghVxy1ypa6fNU08fP8bvfIulE4I/AGwWZd2bI+A3wHXxGhZndI+kcoLKBAM4EzqBnDePfSadKBiJ9r9ua2c9xt24OxTW6RYBX0uM58Bluy+g0SffS/0VUTujvVZK+zeTfSbahGrYGIn3hq3Yo5mR82tngjZJ9LZF0AP7jnYj/GVbBp41XthprZu/Tc8UO7iq6Jef9azoW4EZpEeCJtL0w7jtu9f5nAUha3Mwe7UQBM5tb0keBDYCfSFoSv9LbPUPMu2nW0DB0SwDvZIx/G7hX0lX0/gNWngkBt0pa3cz+mTGm8T6HA0iawczezh3fxFOS1gFMXhTza8ADGePXSfc/LKqIz3CrMpOZ3d5kpN7PGA+dLzAD3NyOsTOzxQAknYLPxP6StrcEqs40t0r3jdn42el+V9xzkEOnQRiTGLYGInGXPEb+fHp/4RdVHK/G1XIa96Gkdo7Z3mZ2vKQtgHmAvXCD0dJA9KucdIWZbVnx5Z0eC/AFvAck3Z62Vwf+keRiZtu0GH+mpAXxSr034K6hKjOQSciTfhbBF97GALMDH+bIwENM/wosLOkPuNvtcxnj/5xunbAx8EVJT+Dfh/DJRc6V4n2SnsNDKm/Aw2RzZzX74a7HBfES+1fS+8TSL526lxIvJiPdMNg7AM9mynhD0lwFGWvhawk5dGrsVjez/SYNNLtC0o+qDDSzJ8BzbMysmKh4kKSbm3RqJSsrn6Y/hruBGAW8RO8v2ICqJ8VHJX0NnzUAfBlfVMylcWn0CeAMM7u7qkujn0QbAStl6NDpsQD4fxmvnQwz2yBdpa4ObAT8WdIsZtavD7eJmwq3E81sQht6XCXpTjxKRcABZla5a5eZnZVmIIuYWasuhn1R1bD3p8f/SVoEX5PZCviVpFerrKUUZLyIX6W2Rae+/8T+eMXRpSU9jecJ5er0TbwdwBLphDoad81WpgZj96KkHwC/x/9bu+H/uRxmlrSemd0EkGZ3M+cIkDQTfjwWMbN90yx7KTO7PFOX4b1I3SmS5sEjCjbBv/Br8IXd5zPlnIFfoS2GR4mMAK5LPuhWYz/AwyrLDMpaZjZjji6dIOkbwPntnJTT+PXwk9n6uH92PD6LGNvPsL5kzYpfcf8vY0y/rsGqfnNJWwPHANOZ2WKSVgJ+WGEGVSZrHjx8uqHDkxljF8KP5Yb47+pl4CYzOyJDxtG4r/8tfFa1Iv4b/33F8VeQfP9mtmKaYd9lZstn6LCYmT0mz/ydxswmNvZlyJgeXzuZtMCcZOW4DpH0SeCj9P5OKl29p8XqQ3H3J/is7vAc339yBf8WnxkDvIp7ICqv6XQShDGZrOFsICTNgCe7NX/he/c5aGD0mAa/2n/UzF5NU+EFzayl/17SfcD2ZvZwyXNPmdnCJcPK5HR8LCQdiiczvQycC1xgZs9ljP8AX7A+As8Ofbfq2IKM5XD/7Cj8RPACsKeZ3VdhbFk0WQOzClFlSc44/KLhOuuJ/Lk386S4DR4qvAAevrwo8ICZfTRDxoe4u+6nZnZJ1XFNMsab2UryxKzt8ITOa81sxYrj/2lmq0u6q3AsxuecjCTdaWarNO0bV+UCqoWMyfa1kHEKHqq6MXAaHt11u5lVLrdRF8mVqnYCIZRajDZ9J3dX/U6LDHcX09nAg8AWuA9vVzIW4NRh+F3JFeviFT1LRQ6j75pZX82Q09GxgEmLo4en47ATcL2kCVY95HMu3N+/AfC1dIL7h5kdkqHGqcA3zexa8Ho1ad86/Yxp6F+Hvxw87+K1pu8y90rrR7iL62ozW1nSxniCVA4r4yHYn5Vn3D+MJ3bluHdGpvtPAGPN7OXM32jbvn9JS+MXLLNL+lThqdkoXMS0kDEfPjufUdLK9My0Z8NP9jmsY2YrSLrHzA6XdCwVXLCSfmFmX5d0GSW/gyozS0m7mdnv1RTC3PguLCN0mc6DMCYx3A3E/5nZjvLwtbPkoXN/yxjfafjdsf08V2nxy8wuAJ9Cl0yXb6ioB3R+LIo8j5fteAlfdK9Emj09ikc/LYSf1Ef2P2oyZm4YhyTzuuSaaEnTSahMv6rrMfdJ+iwwIvl3v0ZmZBnwnpm9JK+2OY2ZXSsv5VKZtJb1Hzzsd33c570BFUM7E5dJehB3MX1Z0mg8SqsqZb7/qqU6lsLXTubAM+IbTMSTB6uwBR5gsBCewFmU8b2KMhq8le7flLQA/vuusuDbiDg6JvP9ijR+w3WEMHcahNGDDYGMx4G60VPO4AZgOWBu8ork/TPd31XYNz5Th2mAdWv4LH8GRha25wfGDdaxSGO/hJcjuB84HFg2c/x/8PT/7+EntOnaOA4X48X2xqTbD4A/VRx7Rrr9GY9VvzDdXgYuytBhJuAnuHvnjvR4hszPcTVeC+kEPIz5eDIz29N734tfwOxOKpvRxjGdExiRHs8MzJc5flp8JrBc8TeaMX7tdvRukvHpGmQcghurT+MXQM/ia0tVx69asm/rTB0mKxpJKrmRKWcuvCbUVngIcFvHZLivQXwePwGsgJ8YZgEOMbNfVxx/BV4a+nwzW0UefrePVQ8tbcj5h5mtnaf9ZDK+gH/hn8avwC8Fvm0VcinS+I6ORZJxJHCumY3P037S+GnMy223jaQ5ceM0KbsdOMzMXsmQcTnwBTN7Nm3PD5xkZv3OMOokzXreoqfsyezAH8ysctSLpNFm9sIAqdjqveuajdW2VtjJAnOJrOlxo195DUAeGbenpdBteSLm181szQwZNwNbmtnraXsZ/PzTMrO9riCMXjKHs4HoFEmL0+PffoUUfmcpZjlDzuF4QtlF1sEBl7Q/8HH8yvmLZpbr1ugISWdbU0Ja2b5+xi+EXzE3yn3chIeYZkdFSZodr3w5sY2xvUpJpCCCe1r9CfvyMTewjCgmSXvjEVyTBR9kyJid3lEz1+NXvG1leGe+9xn9PG05J3dJ5+PrY5+lsD5mZgdkyOh4gVlSI5/kRjynJOu3lc4XF+D6rwfsgdf4yjEynwQOxC8Gl8KLU+5a5aKsriCMXjKHs4FI/tlbSYlEZvavNuVMCr9rc/xEfOr+Pu7fbSRFtez01LRoJdyVcC9wF1RfvKrjWDRHhchDGu8xs2Urjr8KOIcen+1u+I9/swwdVsfDABu+2tfwMMBxGTJOxAv0jcVP+DsDj5hZv4v+kjbs73lLJckr6vBD/CQyBncV3YgbjPEZMi7Eq36elXbtDqw4mDOhOmhE26TF4RXkpar/lnNCK4xt3M+CX5BtniFjcfw7WR8PIHgH/06+kSHjI8Cf8D4b25nZW/2PKJWxHW4kZgU+1clFRKcMdwMxPbAm/oWvixdHu9vMtu+qYhnIQ0v7xFLZhQpy2j4W8vIF38PLjjfS/gW8i1dEPbiiDuOtKfyxbF8LGffgdaVuTNvr4dVHs9pUJhfJ+mnzBjO7OGd8XaRoky/g1V0XNLMRGWM7Pp5pzIJ4mO2koBUz6zcAojnappmqFy5J1u1mtoakG/Bk1P/iV/+VS0NIus3M1pR0K15R9SW82vGSVWUkOfPjeSXr47ORJ83s4y3GNNdRmge/cHkHqtVR0uQFLTfBk3IfTzJalnGp0+3XYLhHMX0AvJfuPwSewyNwBhVJ+1gh9FBePO8HVU7u1k/dHUlzZ6jR9rEwT7w6QtIRVY1BH7wor8baSIzbhfxM04kN45B0uynN0LJIf5asP0zJiaBZZmUjJc+4XRdfC7oLNxA39jtoct5S76zbdemJxKmqx1F4yPK/6CnSZ7SOkGvM4JbCM+MvTdtbVxjbzKlpbemQJGcW8rP2L5e35vwZ3oTJcFdTZdIs+0V8lns6Xn69yprZVq1f0pLmgpaVZ8QFGpFg8+Bu8b+n7Y3x4JJsAzHcZxBv4u6Y4/B489yTUV16nINHR+yDRw/9Fo9X/3aGjHuAfc3s1rT9aeAIM/tIxfFtHwtJS5vZg30sghnwcpV1GXlZiBPxHgTgJccPqDi28d67477mhntoJ+AVM2vZiSwZkv5O8P26/NTTd7q0oFrOgmha0Hwfj6i6Hu+Sl1V4T57BfRa+wC08GmtPq5CAWZDxEN7zoK04eUlX4hFEE9P2rPiiar9X3QNJOwvMadwBuItpYXxN5Hp8dvmf+rUcOOoMwhjuBmJb/AtfA3eH3IJ/4ddUHL8j8Ffz1P8f4FVYf9xWNIC0E16e+028GcjNmeOXxw3LdXj27VzA56su8HZyLCSdal7Tpa9FsLlwd1VORdUs6lyAUx/tV83s6Irjb7beBdVK91WQMyv+nayHZ6g/Z2br5chIcmYDaES+ZI69AtjRMkqWNI1/EF/3eCdtN7qoLV1hbMduqoFwq6T1i73wWd1COW6/oUC7QRilsoazgWggz9jcEvg6MI9VrF9UWPBaDy8PcQzwPcsIW0tylsSv9O4FlsGn89+0zL7KafHqbDwJaAMzeyRnfJLR1rGoIPfKVguCaRHweHwB0PAuat+wDkuA59LwV7fa18/48cBXrHdBtV9lrqUsR08dpdXwRc0bzayya0WewXwobmAaUWE/rDI7LPi8F8TrL11DIdu2is87yfk+btwuTvK2B84zs59WGNvx+lrN0VTH4sdyFvy32QgcGNTfZ6e0G4RRKms4G4gU5bES8Ajpy8b7MFeayheiK47Aew6fo0J9kww9HsRPKFdLEp59urfl1d05HVgCv7L5CN4450Qzq9o0qKNjkWSMwMPvxtB7QbNqJNWt+CyqsQaxM+7nzTK4nSLplqTHufgfaBd84btluY40vo6Cag3X0k14QmbLzmUlMq7C/f2Nwnq7AhtZhdInkvbs73lLPTwq6rEKvRf876o6dqiQ/pe7AVdaRn2xJhkzA2+ZtwX4CB4IckXOdytpRzM7v9W+CnJqCcIYtgYiTavWxbNTcxuHNGRcjjf//hiwKr4AeLtlFr2SNFvz9F/SkpYRviavpPoLS1+YPAb+OKsQ513HsUhy/kJqlkOhB0OVK700vuzK/VYzW6tdndpBvduvgp+kv26Z3enUZkG1ZGh/Z2Ztl9lOciYraKdUqK1NeXMCC1dZw1CNbTbrmFl2MpsqyMgqEFg2Hj8pz4mHlN+Br01V/p5VQ9HBOhm2BgJAHWYwy+uqfxyfPTycFnuWt4rZywU5d+DZy+dYRsZvnXR6LJKMeywznDSNa5xMDsSvthtX7jsB05tZpaYq3aYOn3lB1l/xwo/ZFW0LMo7BT0LnpV07AB81s35dN00yrgO2wWeE4/HquNebWb+fVdJj9NNm0zKa1tQxs+xkNlWQcRJwprXR5S+Nv9O84sJXgRnN7OiqHgd597lP4O66Pxaemg0vabNGBRkdBWGUMdzDXK9M0T5tZTCb2ZuSnsevSh7Go07aSVrZGXcN/bNgLK7M0UnSVngF0Ea8euVku0RHxyJxhaTNcw0kvXv2Anyx8Jzhn6sS8iSqL9E7e/iUzGl8uxnddYZ2PoG3uLyU3h3+qizMNk4EDXdlI5pqBPA//Eq6KrOb2evyUixnmNmh8oi5frF62mw2kJmdXdj+vaSvZMoY1XSh8eO0ZpfDxsB+kh6nvS5/krQ2bpwaM/uq59hncGO/Db1DXCfiJdhbYmazJiVKgzAq6tGL4T6DaGQwf4C7h7JOqmkRbTW8G9NH5BUez7fMaJWCvGnwmOmTcRfNb4Hjq0zHJT2CJwDd284JvtNjkWRsj1+hTYPnVGTL6BRJp+EVYIvZwx+Y2eczZHSU0a0aQjv7WqCt6q6rC3lux+b48fy+mf0zZ6ZYh5tLXuPrVZpmlvisopK7qqbZ1KJl+61iaR15pv238DIdRyXX2dcto1d5ugCalg66FXYahNEL67AC4nC+4VNu0bua6z1tyloB+Dne6eqXeFbzt6hYHRa4Fi/30c3j8Wj6HOqiDndX2dfqe62yr5/xD+Kuscb29MCDbX6embv8ne6I1wn7VdpeHLgwY/zf8Iq6Y/DZ7ffxMhk5OjzWz61SxWH8SvtD/MLlvfR4Yrq9nqHLesBe6fFo2qik2uH3sXU6RzyWtlfCZ2g5Mm7BZw0j6CkGmVUpuHEb7i4m5J27Gu6I6yyvL+u7ZmaSGgvDWb1hCzqMw6+QTgcOsp6kpNvk2a9VOBD4i6Tr6R2OmOP37uRYgLvX7rP0K+wSH0hawlLyUrpKy1147zSj+2zgdkmNyJDt6JnRVCK5Ik7HQyoXkbQiXoDxyzlyOsU8Oub8wvajeMXgquyCu7Qax+IGMhsfWcZ6RT8yOu6jUPQY4G7gkfiMud//qGos4og3CFsDz3fCzManoIocPosv+h+ftm9K+7IZ1gYiTV1XB/6Qdh0gL01wUEUR50n6NTCHvNz23mSm7ye+ZGa3N+m2tZldZtWzG3+C+5dnAKbLVaCGYwFeH/86eXJVW0aqBr4DXCtvPCT8qnWvTBl74xndP8f/2LfkyDCzn6RjsH4av5flh3b+Am92c2mSebekDfodUSOSDjRfRG2uAUTSp5JbxNz9c0CK6PrQ2ky4GyJsj3fpuxPAzJ5J7sNWdNIoqJmyboVZmEfjbVuHMsPaQOBRAStZqqci6Sy87k2lk6KZHSNpM+B1/Kri/5nZVW3ocYqkPa2pTjxwWYaMUZZRmbKEjo5FojHtn472jFRjwWxxM/uhvPTGfM3Gsz/M7Bp54mGjOf2Dll8mYuHmq7o0k3syQ0ajppVRCPnNwcyeajoRVJoJ1RRi2mg321wDKAt5hv/v8B7hSHqRij3ChyBteQwsVfGVtAleMiUrAbaJjrsVdhCEMTmD6V8b7BvuWx1V2B5FxhoCcFSVfRXkLI5flSyDV+68EY8eyZFxJLB5t45FTd/HyfjC4wNpe05S174MGSPxP80F6fYVMruYAXdW2dfP+APwMtuH4/0L7sXDMnN0uAAvqHYnbmy/jTdjqjL2MXw9qG2ffY3f6S3AxoXtjcjwd+NGfuHB1LkfXb6Nd+d7NP1P/5HzveKG8t9p3NH4esKcmTrU0a3wKnxGPG26fQ64qp1jMtyjmHbBT6zX4j/EDYCDzezciuPLklbazQXoqE58IQrpHdqIIOr0WCQZq+GLkI1QW6B6FdNCnPhdlmLDJd1tGYmHnUQxJb//Ovjs7eeFp2YDtq+qRwoDXdvM3kjbMwP/yPldyCvxHo+HhAq4Er/KG5SCknX5zcu+vza+004T1NquNVQiazM8qkv4Ynu2xyBFO+6AG5wFzKwtT408oXJmy6yxpZrKwMMwdTFJWte8GN5F+GLP6vgX/l0z+2+F8V/C69Iv3hQTPitegbSqHs3loUfhkQW3Sap8YoX2F+E6PRZN/AFfA+iVSZ3Be+lH35jCj25DzupNJ5+/S7q74tjp8EXhaekdF/46/oeuiujtDvqAnhyPSpjZi7i7rSPk2c9L0rvNZpWcjIbf/FPAfPQkmO1C6kFQkUclHULvkOHHMsYD3CppdWszQc28tMXdkhYxsxw3YZmsq/Ar8GxS4MP6wPJ42fATySzhLq/8vB/+mxoHzC7pODP7WYaYOsrqO92e1g3EDRiX7iu7DZrGz46H7Y3Fr5Ybt8kaireQs2h/t0xZk7lRqNCMvNNj0STrpg7H74ovyk7Ap84P4ZVEc2TcCSxR2F4897PlHvuS8d8E7sYjTg7Dw6G/kSljNN6E6VQ8H+a3wG8zZXweN9av4DPDt4C/Z8q4ocq+fsbPiYdt35luvwDmyNSh0YviP7gr9F4y3Z9474OJeNHBSxu3TBmfwiP1XsMvGnJDZF8EbsPdO2Pa/G2NT/e74qX5R7ZxLBZJn/8FvOfLn/C8imx9hqWLSZ66/wC+MPvH5uctI3ElyZuH3ldola5SJM1hZq/mvFeJjI3xq7Pp8UXlL5rZY+m5ljVa6jwWkjbFr0aaK3/mNKhfGtgUv+K+xsweaDGkTIczcD/xpCgmM7s2R06nyAvUrZd0yC5QJy8YeCN+lThpNmJmF2bIuBefEd5qZiulY3u4me2UIeMB4JOW6h5JWgz4i5ktU3F8x8XlOk1QSzI27ENGThvYR4Ctc3+TTTI+irtv18Nndg9ZRhl8SffjuQ/n4MU4r2/DZdfwGvS7rwrD0sWEZyt/DG/b105nJsBDUXErvgBuiRfFT7ZVq7C+KK91MxZPPnq1DTWOBrYws/sl7YCXzNjdvHFQFbdGLccisRdeoXIkPa4ho0Wnqqaom+fpmfoiaZRlFHazeqKYOkLS2elPf2fJvqrMZGbf7VCVt83sbUlImt68qdNSmTK+gYcuNwrjjQH2zRh/MIU8in729YmZPSEvqb+kmZ2RXI+zZOhAOpEummRcLa+jltvH4bkOjcNs+NX7ovhxnJ18F+qvcRff3cAN6TPl9vk4Ae9d02pfS4algTD3754r6QEzq+qfLuPHeIXJq83Lfm9MXhLQA/iUexfgaEk34SfHS6z6IvV0ZnY/gJldkK74LpJ0EP0sMjao8ViAN4ZZvo1xzbWYihjuJqqEpBnw9aFG1c4bJZ1i1Uu4jwC+ZmY/b/nivul1gZBk5i6yXi7pE5ZqGLXJBHmbzT8BV0l6Ba/pUxkz+2syuI0GP5UMrnqKyy0o6ZeFp2bDa5ZVRm0mqDXJ+AJu2EbhZfEXBE7BZ6tVuUPSH/Hj2c4M+abC7URrI6zUzH6Ju+wAkPQkXiOqJYUgjNHqXVhyNvKNJTBMDUSDGk6I75nZS5KmkTSNmV0r7+GbM/5y/GQwIx72tjNwkqS/mVmV7Mb3JM1naUE5zSQ2BS7H/wiVqOFYgC8mLmtm/8oZZDVkyhb4He4bPiFt74K74HasqMsH8u562QZC0sH4usGMkhpXdcI79J2aKe4A4HuS2opKw1+8fXp4mLzj3uzAFZl6kAxC7u+j4+JyBdpNUCuyP56BfFuS8XByDecwG97xsZhv1HKGPOmFKegk6V6L7958DaCqwa0rCGMSw3INoi4kXY2XUTgC7yX9PB5FU7WxzF1WUupX3sthO6vQlEXSx4AXmk/w6cpxfzP7SRVd6iDNXpbAo1Tegexql8gbmUy6+jezP2XqUEdY5U/wk+kf6V1JtVLDH0lHmNnBVd9voChza7Xh6upUh5HWRrOjJhm3m9ka6gmDbids+DYzW1M9Tb6mxYMXskPS20XeJfBsfBYjfJF4TxvkpEFJi+as3/THsJ5B1MC2eIOcb+BRBbPjiVFV+UPZTvMGM5Vq95jZ1QCSVjWzcYX9r6pCWeaa6agRvaRfAf9HzxrEfpI2M7P9M8TcJWmttAaDpDXJCD1ONAx88bs0fJ2mJXUZB0kLMnlOSU7Z8DpcXR3RqXFIlJW0+U2mjOslNWZ3m+FuyJxKBY2w6y8wecfEqm1LT8VbCV+b5G2U9lW6oKyLuowDDPMZhKT/4J2dbsQjTbJcI0MJSXfiVyO9ynVY9T7KHR0LSdOa2fvp8Sy4z/rRnAXmFKGxXJo2NxKc7rUKrVfVk1MyEvdVNyLJFgH+ZTUkSQ0myVW5Ez0hnuCzsZYJakVXF+4SaaztvAucmmPA5CVGxpvZG/LY+VXwEvS1nWQq6tFRglr6Le1TlAGcZhknOHUYWVbH7DaNWYfJjdTvcmTUxXA3ENPjZbXXxxe8lsZLQ2/fYlxzZybRs8ha2U+cprn74D7WBZKMZ4BLgNNzrr7kVUsvwGcy6wF7AFtZxXaX7R6LNPZzwLF4ss0BeLmMx/De2Aea2di+R/eScxGeL/BE2l4UONLMWi78q49QyAY5J7Tk4juU3k2Hflj1WNaBpIeAFTqJwKrD1ZVmoSviZdzPxivMfsrMSsNGm8aOwL+/73Siw1BBbWYbF8ZfjK+jFJMGVzOz7TJknI27ccfT+8KhUjh6TUEYkxjuLqYP8AXARmG15/B1hH6xGkoHJ87Gy3wfhieHASwE7IlHaVSOVzezRyXtTE+5js0zIqGgzWOR+BZ+1T4rvpi5spn9R9K8eNZpvwZCPWUdZgcekHR72l6TioXIigZAqXcyvX+/OVe8v8VrKX0mbe+OR8+0rKyr+so6PIrPhjoJ0f1+uupfzMx+JGlhYH7LKH6IVw+1tHB/vJmdLmnPKgPTgv+qkpRzpd6g5EJs0lNUvBDT5NUKmnXMWYPoNLJsb7w+10Wk/BjyKw2vhrcYbevKvZMgjDKG+wziTTwr8zg8VDU73Vw9CVGGZxJXToiS9JCZlcalS/q3mX2kgozmP8A8eKbnO5BVB6ntY1G8spL0jJktUHiuZW0q9ZHE1MDykpl+hBcf+w89x8XMrNL6QZIx2ZViztWjpD/gdazaLusg6UL8yr056TAncbHRmXATM1smGc4rzWz1DBnXA3/FT2Qb4Aur461iOLOkY/GEsPPpveBfOXmyE2qeWXZU76wgZ3a89PnEnHFp7Pn4DODZ3LEFGR0FYRQZ7jOIXfCT+5eBzycf4w1mdk2VwZL+Hx4+2fixnynpfDP7ccX3f0XSjniSXKPM9jRJ5isVZWxV8XWt6ORYPCnpCHwG8WA6KVyEJ+C1/CHnGIAKfAYvtfFuBzLekvfCuAkm+eFzZmPzA/enmVDxD5jTGKZRDqIT1kxRP3el939FUm4Z9p3wZjL7mNl/5SXYc+r+jMJdj0UDXSk0VDWULa9zraRTz4Gk1fHZaaM39GvA3sXgkn7GNmbZswL/Sr+t4oVDzm+royCMXnoN5xlEA3kJgi3xKp7zmNmMFcc9gLtT3k7bM+Khc1XLEIwBjsK/mIZBmAOvm3OQpZIZLWR0XK6jSV72sZBniO6P/8hOxKOZPocvFP+o6tWOpLXw/IVl8JjtEcAbOVdo6cr7S2ZW1T1WJmNFPJ9i9rTrFTwAoFJUWF8zopoNYRU9bsNPBv9MhmI0PoOYLLR6KCLpMXrW9hbBvwfh/5EnrUL+TD9uKgAquqmWNs9CL800rnrlndZz9jezG9P2engr15az/Dpn2XUyrGcQ6WSyEvAInt24BymRpiKP4zWYGlm60+OujUqYd3baSZ72/yU8I/JdPJqo6hSyjnIdHR0L83LDRxR2NXox5HIinih4Pu5r3QN3T+RwBB7qeh+ZV1iSDjCz44FZzGzFZPgan68y5mUd5sXrIAHcXtVgSTrPzD7Tl+8802f+S7zV5zzJrbAD3h+6ih4dn1iTnLab0zQMgKRT8MJ6f0nbW+Kz05Y0rvol/RD4L77u12hMVXVG8C08vPXYsreg+pX3xIZxSLrdlI5zS6yn6dDMwFvmFWo/ggeTZCU/1hmEMaxnEGnKd6eZ5fYsboz/E34SuAr/oWyG/wGeh+r+Yknn4dmMjbyIXfBGIi2zf9OJ5OA05uPp/XPLdXR0LArRWNvhJQzaisaSdIeZrVZct5B0i1VMPEyvvx+vV9Or5HiVK6zGOoMqFDlsIeczuBvmOvxktD7wHTNraTQlzW9mz/blO891majz4oelJ1YzO7ri+KvwwnLFyJ1dzWyzDB0m6wfR+K1kyLjNmkK+y/YNBIWZx+54w5+x+H9kJ+AVM/t+hqxx+O9pTvxC8g7gTTOrXBo+XQzeR++eKSta9fbGPbKGuYEYiV+5Fy3pKRkntH6jOaxCJnSS03Z8dPFkpt7lOjbE48UrNSPv5FhIGotHY53F5NFYo6xi9VBJN+BXhqfhJ6Vngc9VOQ4FGddbhRDMPsaOBdbGS20XZ4JZGeHy/hObNWYNybVzdc7nqAuVRHTlLEZ2emLtdME/vf5veP7B7/ET627ABma2RYaMW/Dw63OTjF1wd0/Liw95dn+ftFpwl5c56Wd4VgBFI5v8q8CM5n3Dc49nx99Jg2HtYsJbXI4EfpW2d0/7WnYfg+oGoAKdZP9OKnCXZgzn4Zmns+NX9FXp5FisYpNHY03AazP9O0OH3YFp8Dah38BPbLlXNePSgvml9HYxtTwpmtkukubDk6hyFv2amabJpfQS/rlaUpdrJ8kqjegibzHyA0m70vvEmjPLrKM5zS64S+TitH0DeUUxwRfaj083w/9flS6e8Isu8AjBdfDeEuAu4etoseBuZpWK6VVE8qJ7u+KzdsgvtNdpEEYP1kYTiSnlhieCtdw3gO9/L94A5QHcHfI4nmD2IXBfRRnf7vaxwKe6O+Inxsa+afAp9G0ZOmxZsm+/zM9xbcktq0lODcfyZ7iR+Vy6XUFmr3I8wuTLuJ98Nnx2d2CmjIfwar+dfJYxuKvwRTzE9U9kNLuhvDnNooP5fdT4vV6O55E0tucHLhpkHTZMx/O7aXtx4JeZMlbE85UeT7e78KTMbH2Gu4vpTrxj2X/S9uLABdaB/znz/WuL0a5Bl7aPRR3RWEnOLcAPzOzvaftAYGMz2zLv03QHec+Fd9LjRtHBRsOgi/sdPLmsjn3mdUR0tYuko8zsu8psDtQko+O+2JJOaCEjJ6/kPiskQKrGXteDQSMIQ6k5ULtBGEWGu4vp28C18mYok7qPVRmoGsoI1GEAVF+5jraPhdUTjQXu1rlc0nfwBfelacPVI+mTeKG6Ype/nCKK7fIPYBX1VEztJBmsU9cOdBbRdaC5f7v0BFvhxPoJST8gszlQE3X0xb4j3a8LLEtP18QdyW+QdV1aD2ksMu+MXwQNOJJ+YWZf78toVvlO8f/z8aTmQJ0YhgbD1kCkE/yKeBhldvcx67CMQI10XK6j02NR4Ew8GqsRDpjbi+FFSdsAV+N/3h1yj20KiZwJN1Kn4aGdOaUlKLvqrXglPF0KXFinbGHT8rKHO/GZNzgLn9n1iuiqSCPa6Y5+X9U3f8XdUjPLe2Nk1yuzntDOH5nZBoWnLksBDS2xtE4orxe2ceOCKf1Orqz+ccDMviJpe3oCOU7NmRmmC6hv4f2fv6DU+dC8J0wrGlFgx/T7qv55QNLjeMOgYk5Pdln+SQOHuYvpWutgAUldLiOQdOi4XEd6bUfHIsloKxqrsDDbOIlMhzdBMTJLGTRCZAv3s+B+4s1bDu6RMVmYa5XQV3ni0654NndzFrRZ9bLQtdBJRFdBxpg0QyzuW93M/llx/CVmtm2HOnTUFzuNeQhY21L2dYruurWv/85AIO9GNw7Yw8yWS1GH/7AOCgC2oUOfQRjteDSG7QwicYukE2m/JknbZQRqpI5yHdD5sYA2o7GsvuKH0BON8aakBfDvp1LHOnXYJtM8KuQmeYz+6XlqDwhtR3QVuFDSNmb2NIA8o/dEoFItpk6NQ+IbdNYXG+BI/PfZcAltiM+6B5MlzGwneSl+zOwtSWVtdidDNRUdNO88WVu49XA3EJ02hsmtxDgQ7Iy7EX4l7zkMPQvEO2fIaftYqHcvhj3kfXINX8eo3FciTd//bimjU94VbyPL6yp3eRr3M7y0slG9uUwtbTKHiHEAb9MJ3je9QW6Y637AnyRtjfeC+CluRAcNa7MvdpOMMyRdgVcINjx44r81q9qKd9OswQAkLUH1ar2NmmuN5lkNl9OueM+PrjCsXUydIk91PxmYN00ZVwC2serF+urUpXmB+EbgZEt1ogb4vWuJxlJ5As9d1mbtIHmPixkss4SAPGlwWtxX/FA77z2cSHH3v8ZLynzSzF4Y5PdvTuK8Dvh1RgBGQ842BRnXm1lWR7kmWXMCC1vF+lxpzGZ4qZNl8fWPdfFE0OsyZNxsZuu22jdYDGsDIembJbtfA8aZ2fgK468HvoP/WFdO+3qFwg0W6qBcRxrf0bGoA5WUBpd0r1UsLZ1ePwOePzCpBDuZhjJdLR+D5xAsJmklvFZNJ8lzWUg6AO9BMRFfbF8Zv+rNWljt4P2bo2WWxSPSXoHs6qENmdkn1TTuNHx2WiwN8YGZVUpoTTKOxMviFP8fd1hed73r8NnltHjDnhdwQ1P232keOw0eMHENPqMTvgbyYtX3T3LGA1+xniS3dfCCfyvlyGnSa5a2I5psCCSoDNQNrxHzbzzq5ljgQXzq9k8qJCXhVTIB7irsG9+lz9JR0l+nx6Kmz/BbvB/FEngC0M+BMzNlnId3Pds43U4Fzs+UMQ6v5Fr8Xu/JGL8uMHN6vFv6TIu2830CW+BrCCvitbIG6/e0YX+3DDnX4Ws4o/DqvuOA49o5Fq32tZBxD70TOUfkfKdpzF3p/vPA4W38Lm6o4XtZlZ4kt8dwQ7VKpoxz0ncyc/qfP4vXCsvXZzB+jN264av5sxS2Z8HD82bE+xi3Gn9FOpndmbZ3AK7o0mc5E1irsL0mfmUxKMeips8wM76YeEc6kRzRONFmyKjjZHJbur+rsC/nRHAPfoW4Ynp8AH6lmaPDPen+eGD7Zn2mlFunJ9X0+jvxBd7G9uK5xjJ9D6MK26Pa0ONePHv6SmD1Nn4Xh+D5Rgun9x9V1ClTl9mA2dscOz7d74pfvIzMPRaN23BfpF4E99c3eA+/0ntLUpXFo/3xK9SlJT2NW/Td6lezb+paIKbzY9ExZvYGcFCHYjqpa9XgPkmfBUakxdGvUbH1aaLtNp0Fxkm6Eo/AOljSrGTmMqTotr+a2UR50toqwI+tjc5hHTCtpPnx0N/KVUub+A6TJ3Hmhgw3kgavTTI2AL6XKeOH+IXUTWb2T3m1gYczxjd03r+wz3CDl4V1luQ2Mq3rbAecaGbvSWprLWG4G4hz8IJyl6TtrYGx8prrLU+u5nHZH0uvn8baaCFYA3V1lOvoWNSBvOrpgUyeBT1okVSJr+Ins3fwrNm/AT/KGD9R0sGkqqPyRMSRmTrsg/fneNTM3pQ0F/n9iw8xs/NTfsYW+LrKyfjscrDo9KQKvo7UK4kzVwkzG5vWEFZPMr5rmVFM5omS5xe2HwU+nTG+Urj1IPBr3EV1N3BDCjJpy+AM60VqAEmr0lMz5yYzq5w5mqJkPo3HZRfLKQ9GWYfa6eRY1PT+V+J5GN/Gwyv3BF4ws+9WGFtLJFWJ3BG4m6vyHyglI30WX6O6Ud6mcyMz+12Fsf0m4+Vc/TciwFIuxL1mdk47UWHyNqWNhMuHLDN6qFPUZuJi0+uvMbNNW+3rY2yd9ZyWwxf8ixdALX8XA42kac2sZa5PM8N9BoF5P9jcmiwNLiFF+lA9nnnI0uGxqIO5kjvmAPMyC9enSLGWtGsAypB0Dm6gPiAtWEs6zswq9WJOV6bHFbafxFuYVqFRpmQGfEGysZ6xAt7hb72KcgCelvRrvMfGUemCplLZ8QaSNsKjhx5PeiwsaU8z67fURR0n1WRoFwRmlLRyen9w//tMFdRvRLXNBMydoqiKMhaoIoOa6jlJOhTYKMn4C97a9yaq/zbKQn5z+ra0irY6rsXzkzHsDUSHLGRmH++2EsOIxo/8WXnBvWfwulKDzbJm9rq8WN5fgO/iJ4J+DYQmLxky6Smq1x/aOMk6F9jXzO5N28vhM6scPoMXPTzGzF5NawG5xSWPBTa3lA+Scn/G4sarP+qYfW6Bl0tfKOnROLm/TvX1gy/i/dUXwL/DooyTqgiw+uo57YAHLtxlZnvJ29KeljEeOuvbUmfFAqedle2p5YYvUC/fbT2Gyw1fT5kdWA7PBB8HbN0FPe7H/4Tnk0I6GcQ+Ien9xlfZ18fYUf3dMvWYLLqlbF8/4xev4Vh8ugYZX61BxkP0joSaE3e5VR1/e7ofh89gBNyfqUMdUXozdHosGreYQfTPesDnJD2Gu5jarooYAN6f9zXcbde4ku5GhmhHi3jyPs434IXY3mj1+j54ICWIFdtsVu0nPY6emcwieHKb8BIsT1KxNlXiDkmn07u0Q44b8kxJC+L5NDcAN1qaFVXFzC7MeX0fMk7oVAad13O6Q14G5jf4MfwfmZWG8TLwS1jvvi25ZeDvk/QcXm3hBuBmy6w20GDYL1J3Ql8LozaIjX6GEzUtRn4Kr001D35SrOze6UemgBFWcRFP0t74xcPaeCb0jXiS1CX9DuwtYwZ6+5pvID8j/BTgUjP7S9reEviYmX0rQ8b0eFjmpOZHeH5N5TW3tMi9Ou5//yKebzOq6vihRFoXaUSB3WZt1nOSN9mazfKzyjfFM+x79W0xs2v7HTi5nEWA9fF1lU8Ar1ob2dhhIFqQolzmpXcU05Pd02jKQ17rZx3cV/zzwlOz4UliK2bIegR3S1W92h4w0snkM/jawZxWb9XaKu8/zsxWbdp3h5mtlilnOmAZPA/jITN7t8WQ4tj18BPR+vgMZjw+ixjbz7AhhaSlzezBviLMrGJkmaTf4RcLN5pZdqhuQc70dNC3RdJC+PexIb4m8jIetXhEri7hYuoHSV/Fm6k/R08Sk+ERJ0F1psMzt6el90La6/jCXg7Pdds4JNfQsvjv4kb8M1Q9iZxnZp9RH+WdM92XL6YEuaKb6qWM8aRggVOA/+AnpMUkfdHMrqgo4np8wfoIvIdDZeNS0KGTRjsNGcLdY4ub2Q/TFfR8ZlbFxfNNvLz4sSXPGdWr456Jz8ROSK6h8fjM8viK4xtRTF+kULhQUm7hwidxl99PzWy/jHGT6xMziL5JV6trmlnWny4oR9KiDfecMouIqaeD24Z4e8o/0bsHwmA2cboYj5r5F36CvMFSs5sKY+c3s2frcF9KGoVfwBTdVIdbappTUcaDwFZm9kjaXgL4s5kt3f/ISePnwN0YG+Bupg/xtZlDMnTouNGOpJPTe29iZsukkNcrzWz1DBmTdY+UNEOm228Efhw2xkOp36p6LNP4OgoXrogbqg3wNaqH8VIw2WXqYwbRP0/hC6pBPRwhqd38g60Lj98Eih3kjIwmTp1esZrZ9knOMnio5rWSRphZy5BdM2v08F62+So9HZtTqn6OZAgOqPr6Pni+YRwSjwLPZ+jwqrxExsJ4uOo65GeVt91op8CaZraKpLuSjFeS6yyH0ymU+JBXGbgUaJlsl15/DV5v7B/4zHJ1M6t8LBOrN7lc/y7p7hwBZna3pP/gs8L1SRn/+OfLIgxE/zyKT/H+TO+r1eyEkwBoM/8Aam/edEZ637XT9gQ85LWSgZC0Ff7H2wAPhfw7fkLI4RBJ75jZ35PM7+KLvC0NhGpocF+Ykd0v6S94lVzDk8MqtRtNcv6Dh4felHTfqw03UyeNdhq8l67eGzJGk9+n+2lJJ5vZl9IM5M9Ub0YFnvS4Kh7G/RrwqqR/mNlb/Q/rRcdRTJLuAKbH64vdBGzQbmBNGIj+eTLdpku3oDM6LiIm6SzgADN7NW3PCRxref2gO71i3RJ35xxvZs9kjCuyDd4d7zt4stvSlPQR7oM6GtwXZ2TP4a478B4Ic2bIWdJSK9wOOBSvLLywpD+QGu1kyvglcDEwj6Sf4OtCP8gRYGaHSDoqRYetChyZE4JrZt8AkPdJ3wu/EJkPP1lXpaxwYe7F0ZZWU9OnWIMIBg1JX8NnDXcDn8T9o783s/UzZNxlTbWGyva1kHEL7ja4ObkllgDGmtkaGTLmxX3N4AlSua4EJM0DXI3PZvZu9n9XGL+qefmU4r6trYNOarmkiJkT8JO64VesB5jZhApj1zWzm1PUziy00WhH0mJm9lh6vDT+vQq4pmowQ2E2RRp7CJ6/8Feovr6VglrWw43LE/Tkhfy9yviCnE6jmGan99rU9XhDrGx3eRiIEuqYwgetSVftlfMP0pi78cJ4r6TtUfgCXE5Xus3xaq7F1pCVY83lZbaPwZvlCHc3fcfMLqgwtlGuo8F0wPtpn1lGPoekO4E9radcxy7A182scjXXTk7wafxVeKXgxqxmN2BXM9uswthxZraqMnNh+pBRqTBfHzLO6Odpqzo7lfRt3NU4Luc33SSjuWPijXgtppyF8guB++i90L2imX2q71F9yAoDMTmNKzNJG5Y9b15oLugCkvYADgYaJ+MdgZ+Y2dl9jyqVMxdttoZMRmqzxqwh+buvtox8jjpI/ukL8PDO9YA98IikyleKnZzg0/jxzdFGZfv6GHsrnj3+CXoK5E3CqhX8uwuPaPs8vXNsGjIGZb0wReXdYx22I5a3Fp6Ihy5DZmvhJKPt76SZWIMooTFtD0Mw9DCz30kah4cRCviUmWX1gyhcbf65ZF8VpmlyKb1EZhXVOjCzRyXtjJ8gn8KL7uUsiAKMNrPiFfSZkr6eMf5FSbvhBf7AT2hVw8K3wivRbkL7VYZ3xte0mnNsBhUz+1DS3ZIWsc4SaZdqutC4NjeKCXhL0nrW09d6XSD3dwGEgShFfSQxNbCoxdRtHsTrD00LXlagyp9S9ZSGBvirpL/Rc1LcCY/KGhRKfp+j8B7Mt0lqJ9mu3RM8eFjoifRcvd9MxW5wadZ2rqQHzCz3JNiQ8RBe6vye5rDhLjA/HhV2OzCpRlemS7qOjolfAs5KaxHCM6lzOx4C4WIqRT1JTI3WgcVCZm/aFNowqNuohhaZ6p3d/gFUL6Ao6QB6SkM/Db1KQ//GzE7M0ONTFOoXmdnFVcd2impsniTPOD4RD/k1PDTyax1eBWeRDPc+TN5pMKvtqDwrvFnGoP1XO3FJq3fHxKXw6EnwQI5/teO6kjRbev/225daTWVhh+MNj3JpuS9ulY/nPel+PXzxbVu8IFqOjEfwxkOd6FFHaej5kv5b4yUdcscfA3x0CHwnW5bs2y9j/OLAZXh47PN4k62sEuB4DsqP8MSuPfHAgeMzZZyCN+Z5Cr+AuBc4PVPGvHgy2RVpe1lgn0wZi+IFE8Fnq7NmjOvzlqnDXHjY75246+74dv8zg+43ncKYWV6MDABJ6+CZkkF7NBJ+PolXLr2E/PySjrPbzewESctJ+oykPRq3quMlfR4Pg9wej7e/VV7hNYcHgVMl3SZpv+QO6AaHSJpUa0jSgbjhq8o5eJLd/PjM7Hx63FVV+T/z0hxvmDfv+SRQOSotsY6Z7YGXlD8cnxEtnCnjTLy/dsPd+G98xlkJSV/AgwZ+nXYtiK8PtcTMnmjc8Bnt7PiJvnHL4VzcYH8a/32+QEkQQBViDaJ/9gF+m/68hp+Yck8EQQ8dt8ikhux2dd4a8jvAypZqdKWIqFuA31bVwcxOA06TtBSeCHWPpJtxV1dWaecO6SRhD9xNXYwg+72kr2Tq0ChE96q8s95/8T7wOTQWYd+UtAC+jpLTFwNgbjM7T9LBAGb2vqScLOb9gTXw1rGY2cMp16Uykn6EJwn+h551ppyCgeBNj35U2P6xpO1y9GgQBqIfzKOZVky+PFmbTTeCSdTRIrOO7PZOW0NOwEMRG0zEZzZZyEtDLJ1uL+IJhN+UV1PdOVdeO5jZi5K2oSdhbwdLfor+SPkn4FE2B+FXrYYv2P+5z4HlnJqCBn6A1z6aBfh/mTIulxcO/BnuWjHy232+kYx9o1zHWuTNVt8xs3eVkvIlTUs/wS598Bk80z+7Km6Ba1N023lpewfyvxMgFqmDQaBwMinFMqqP1oGk281sjUK47ETgPjP7aItxjabwK+EukEvwE8C2eDZ15dLKko7Dr9SvwX3ltxeee8jMlsr4SNl0mrAn77Jo9Cz0FzEzW7wuXXNJM9MZci/o5P0gTsBrKd0HjMYNZqWmP5KOBl7F81G+iie8/cvMvp+hw4XAl6y9zPxiz/SZ6XHpjgD+1+o7LZUZBiIYaJpOJpO1yDSzyq4AeTvIsuz2ylNwSb8CvofH0H8Lbw053loUBEyuqT5Jvu+qOuwNnGtmb5Y8N/vUNFtN0WVn4Ib6N3h020FmdmWGjLIIuR+Z2V2ZukxLT5mLhyyjD0NKltsHrzQsfD3jtCozsoKM1fALj/vo7ULtSvWGMBDBoKF6WmQWO6jNgC/EvW9mB7ap0xjaaA3ZLuqja1kDywj5rQNpUqOdxczsR5IWBua3ao126tLhbjNbUdIWuB//EOAMy2tFe4+ZrZCCSo7Ao8S+Z3llR2bCmwctau03LpoOdxkamd350vj78UXueylUo7UuJe2GgeiHOuL2gx5UU4vMErnXm1lpDHrT67p+ck4zoH5UqD4TqgPV0GinBh0aJ/fjgevM7GLlF2C8y8xWlnQEcK+ZndOGjI4aF6mkOx+Q052v8m95sIhF6v45xMzOT1clW+BXJSfT09Q8yKOOFpnF9Yxp8MqZ81UcXtZSskFupEhbmNnGA/0emdTRaKdTxkm6Ej+hHixpVtrr5dBphFynZeCPBTa2pu58QE6G97hk5C6lt4upKxelYSD6Z7K4fUmHdVGfKZ1d8CSmRtbxDWlfDuPoWc94H3gM9/u2ZCicnNW7tPRk2CC2Tk201Win5tnYPvjC/6Nm9maKJMrtgVBHhFynjYs66s6XaMx41irsq3TxMhDBIOFi6gdJl+MlGT6GX6m+hUerDGrVzqBe1GZJZUkn0H+NrirVRxuF8ebB23M2egVsjLtXsksyd4K8u99OuPv0LFKjHTM7v8W4hqtsBmA1PERXwAp4dvx6fY0dqkjaDA+1LZaB/5yZXVdx/Ml45nOxO99DpFpKA238ByKyLAxEP6RFq4/jPs2H01XJ8jnRFQGo3haZpeT8+dRmSWVJjYJn6+InkUZ26o54D4BvZOhwOfAFSz2q02/rpME2EOm922q0k8aei5dbb/SkWA74tpl9biB0HShSBNIOeNhxu2Xg6+or0dWaUr10CQMxOUMtbn9KRzX016jrz5dk3d08Cyzb18/4a/HS2u+l7ZH4wm5lF5ak+6xQgE019RMYbFRj74FuI+kGM9ug9SsHVIdT8BpOG+OJfjvgXotKbtQkozkybRG8Xlh2ZFqsQZRT9HNPFrdPfgr/VI31tMX8n5W0yKwoI9cn3R+dllReAO890LhQmIW8cuHg5UIaJcMNz8kYzBIbdfGApNPoHXiQMwMZSobxKnlXuD/Su1x3pQtCeQOn4/EZiAH/wDv8PZahwzopouseMztc0rFArmvqV6TINLwI4kTgQnpa5FYmDEQJjcStvuL2u6nbFM5vJO1pTS0y8Wqgg8mawB6SiiWVH1AquWytS4cfiRuZxgl9Q+CwHAXM7CvJbdbox32qDWLJ8BrZC+8/cEDavgGP9KuE1ddopw4as9D9C/sMr1hbhXOAk/AijuBG/1zyoh7rqClVW2RauJj6YaDi9qdWVEOLzJr06LifgqT56Pnj32Zm/61Dt6kRSX/Hr247abTTyfvvmMLZFzezRzuQc1tzYp6kW81srb7GlMg4BC/3sSlubAwv4Fi5NpWk2/AAiH8mQzEad4FWzgmZJCsMRN8kF8CN9J4+b2BmW3RVsSkYSR+hp0XmdpbfInNIIGlBPGJl0izczG7IGP8p4Cg8mknpZtZGvZxuIm9neRiTH4vKETOdrE3VgaQ704n0TsvI3i6RcyRei6lYuHB6/ESfvXap9mtKtRWZViorDETfpMXqQ4HGwtUNwOGxSJ2HJm+ROQ9eJfMdyGvhqiGQ3S7pKPwPeD89OQOWc8Ur6RFg65yIoaGIpAeBb+DrdpNKY1sqhZ4hZ1FgSTO7OkUPjjCzia3G1YGkq3DjthJ+QdiLqt9rCjPti0phpiUh2DfhOVj9hmCXyGk7Mq2XnDAQwUBTh0unIKvjmjudIukhYAUzy0miapZxs5mtW6NaXaHMrdKGjC8A++J9DJaQ10A6xcw2rUXJ1u8/HX6hcTbw+ebnB2smk3RpKwS7ScbxwB/N7JZO9YlF6hLqiNsPesgxABUYCtntj+K9g9s2EMAd8to/f6J3SYXBzqTulGsl/QyPtGm3NETHjXY6wbyg3q2S1jGzF9qVoz66EppZ1UZU4MUBi+HW10q6O1OVO4EfJHfuxbixuCNTBhAGoi8aHbKO6aoWQRl11NzplDeB8ZKuofdJsWUmdYHZkpzNC/uM/JDGbtOYPRQDN3LrWtXRaKdjOjEOiWIY6Qy4i+dOqncqhM5DsDFv23pWcpF/Gv+fLGJmS+bIgTAQpdQRtx8MGHXU3OmUS9OtbWrO6+gaOcmB/XC9pO8BM8rLXXyZwQ997hgz+2pxW96q+Ow+Xt6LwjrdSHpCsA1f/P9Xmyr9H156fEy7MmINoh8k3QlMFrc/mP7uwBlu2e1p+n8yMK95aekVgG3M7MddVi2bTktDqIZGO0ORlGF/j5ktU+G1da7THQV8Ci87fh5wkZm9WnV8L1lT+HcwoAyVuP1gskJkHXWlq0GXJfEF8mXpfVLMCe28Hp/5/LoRn95cfmNKoI7SEEMFecvQH+PJan/F+5Z/3cx+3+/AnvHFNctp8N/H+Wb23QFQtz899gMusIw6Un0RLqZ+MLNH5c2//4TH7W8+pcbtT+kMsez2M/Dw55/jJ8a9KK+g2R8zmdnt6t1u4P161BtUOi4NUZJL0cgJGey+1pub2YGStgcm4EUYr6UnoqgVxTXL94EnzGxCzTq2xMxOkTSnpDXofQFTOU+nQRiIEkri9kfhjb9vk5QVtx/Uzupmtl9jw8yukPSjQdZhRjO7RpLS1P8wSTfiRqMqL8r7DTR6D+wAPDsAug40dZSGOJ2SXIouMDLdfwIYa2YvK6tfEJ9oni1IOqoLM4jP46VPFgLG47Wh/kEbDbHCQJSzVbcVCPqk4650NfB28ps/LOkreM+Q3LDM/YFTgaUlPY03PtqtXjUHhcslzQH8DI/YMeA3mTJes4y2nAPIZSnx7y3gy6lERU6C2mZAszHYsmTfQHMAHlF1q5ltnJLmDm9HUKxBBFMUQyG7XdLqeMXSOfBqmbMBP2uEJmbKmhmYZrCyhgeS3NIQ6ulK9xl8ht5JLkUtyHtyv25mH6SM7tla1dmS9CU88mpxfGG4wazAzWY2qIZf0j/NbHVJ4/HCfe+ozRLsYSCCYBCRtJuZ/V7SN8ueN7PjBlunbqGearhlmJkNeI/wIu2WuUjhrHPigQsHFZ6a2I3oOkkX4+tiX8fdSq8AI83sE9mywkAEUwLDJbtd0hfN7NeSStcrzKwtV0DQOXWUuRhqyAshzo7XL3s3e3wYiGBKQDV0pRsqSBoBfM3Mft5tXYYCkg7AI8Mm4usXqwAH2SC39lWHnQaHAqq5AdNglygIgrZoym6/vnjD1wCmGMzsA2CKmPG0QtK6aR0FSbtJOq5V0lcJe5vZ63ii3Dy4e+TImlWtwl2SJvVuaKfMRbcxsw+Bu+VtRjsmDEQwpfEbScs3NlJ2+w8GUwFJR0uaTdJISddIelFS7kLkLZJOlLS+pFUatwFReGA5GQ9xXRE4EHiCvNpD0JND8gngDDO7u7BvMFkT/14el/Q4Hhq6oaR7Jd3TBX3aZX7g/vTbvLRxa0dQuJiCKYqhkN3eiAhJCVXb4TH81+a4IvpYoB30hdlOUU+znf8HPG1mpyuz8Y6kM4AF8fyJFfGIpuusqZvjQFNnuYtuUqcbNvIggimKIZLd3nZClaQDzOx44BAzu2mgFBxEJko6GNgdWD+tr4xsMaaZffBmPY+a2ZuS5sLdTIOKmT2RZnGNKKabuxFqWwOlCXtAtoEIF1MwRdCY5qep/gV4dvsYPLt9sKf/jYSq1YBrMhOqGie+Xw6IZoPPTnjuwt4pX2BBPGmuMslv/hjwEUkb4IX/5qhZz5akWdBZwFzA3MAZKSlzSmOzkn1btiMoXEzBFMFQm/43JVTNDMzaKqEqjRsLrA2MpndSVaP+0BRXxkUdtgvtqzREF/IgHgBWbuQ9SJoRuLNKNdahwEAk7IWLKZgiGEr+33QS3B+vKrsvsACwFHB5q7Fmtouk+fCS1lN8JJMK7UKBJfAZxCl4s5yq1FYaokMex4vbNWaD09P7RDvUOQe4ghoT9sJABEE+Z+CF5dZJ2xOA86lgIADSTGOKia1vQR3tQt82s7clIWl6M3tQ0lK1a9oHkk7A1xzewaN/rkrbm+HZ1FMEKVDjNTzBrxbCQARBPkuY2U4pxBYze0uZZT+HEXW0C52QCv79CbhK0ivAM3Uq2YJGv+ZxeA/nBtcNog5DkjAQQZDPu8k/3SjVvQSFInNTGderw3ahZrZ9enhYCv+dHW/YMyiY93AOSohF6iDIRNLmwPfxjmFXAusCe5lZf8Xn+pI1K744/b96tRwcVNIu1Myyyn1L+iFwI3CLmb1Rv5ZBu4SBCII2SLH6a+EnxVtz2zumbPDf4Yu7Al7A+5/fV7euA0khr6PffS1k7I3nHqyN12O6EbjBzC6pVdkgmzAQQZCJpGvMbNNW+1rIuAX4fmPWIWkj4Kdmtk5/44YaZVnTku6y1Gc7U9Z8eG+Ib+NVVGetSc2gTWINIggqkvoFzATMnfIgGgvTs+GhrjnMXHRJmdl1jaJ3UwJpgf6zwGJNdX5mJbPDn6TTcHfdc/jsYQe8O92gkhIev5t0KfZynqLKn9RJGIggqM4X8SYsC+ARLw0D8TpwUqasRyUdApydtnfDs4mnFG7Be2jPDRxb2D8RyM1snwuvv/Qq8DLwopm9X4OOufwB+CPwSWA/YE/c9TfVEi6mIMhE0lfN7IQOZcyJJ4Otl3Y1Wqe+0ql+UyqSlgG2wIsfjjCzhQb5/ceZ2aqS7mlktEu63sxKi99NDcQMIggyMbMTJC3H5K6IymWukyH42gCoN6ik/gknAMsA0+EzgTfMrHKPDklbAevjfcbnBP6Ou5oGm/fS/bOSPonnYgyqkRpqhIEIgkzk7UI3wg3EX/BCaDeR0QchZevuaGavpu05gXPNbIu69R1gTgR2xjPJV8PLr/9fpowt8RnU8WY2mAlyzfxY3l/6W7jRmw2fzUy1hIspCDKRdC9eKuMuM1tR0rzAaWa2dYaMySJ92o3+6SaS7jCz1ZrcMrdMadFYQTlR7jsI8nkrlah+X9JswPN4Bc0cPlShLWSqiDolXq29KWk6YLy80943gKxoLEmfkvSwpNckvS5poqTXB0bdfvVYXNJl8g6Bz0u6JDWommoJAxEE+dyRagf9Bo9muhO4PVPG94GbJJ0t6WzcxXJwrVoODrvj6w5fAd4AFgY+nSnjaGAbM5vdzGYzs1lz1jBq5BzgPGA+PFLtfGBsF/QYMoSLKQg6QNIYYDYzy25aJGluerKx/5GbjT1ckHSzma07BPS4zczWbNp3q5mt1S2duk0YiCCoSGpH2Sc57SlT9dddgcXN7IfJ3TSfmeXORLpCWofp8+RRpfGRpE+lhxviV+1/olD00Mwu6kzLPCQdiedinIt/tp3wnhAnJX3a6qkwJRMGIggqkiqN9oXlZNxKOhn4ENjEzJZJUUxXmtnqneo5GNTR4U/SGf2LsL2zFesASf0lKpqZTXXrEWEggqALNGoYFSOXJN1tZlNcI6FUQ2kN/Kr7n1VarwZTBrFIHQSZSJpB0jclXSTpQklfT3WacnhP0gh6ekqMxmcUUxSpn/TtwKfwGkq3puqsOTKOljSbpJGSrklRRNn9kzulpu91WBEziCDIRNJ5eM2h36ddu+DVR3fMkLEr7uNeBTgLP7n+wMzOr1ndAUXSQ8A6ZvZS2p4L7+tQuWWopPFmtpKk7YHt8OS0awd7NlXH9zrciEzqIMhnqaaT17WS7s4RYGZ/kDQO2BSPYtrOzB6oU8lBYgJ+Um0wEXgqU8bIdP8JYKyZvazudHDt+HsdboSBCIJ87pK0lpndCiBpTeDmXCFm9iDwYN3KDTJPA7dJugR3l20L3C7pmwBmdlwFGZdJehB4C/hycre9PVAK90Mt3+twIlxMQZCJpAeApYAn065FgAfwNQSrEuI5XEh1qfrEzA6vKGdO4HUz+0DSTHhuyaAsdhdCdkfS870asCjwLzNbbjD0GIqEgQiCTOoI8QxA0iZm9vdCPkQvBisPIr7PvgkXUxBkMjWfMGpmQ7y0d1mRQwMGxUDE99k3MYMIgiAISokZRBAEXaGxkN0XFRe4gwEkDEQQBNlIOtDMjpZ0AiU1mcysSre8WdP9UsDqwKVpe2u8um3QZcJABEHQDo2cjTvaFdCIcJJ0JbCKmU1M24fhpbaDLhMGIgiCbMzsslQqZDkz+06H4hYB3i1svwuM6VBmUANhIIIgaIuUs7BqDaLOxpPrLsbdVdvj5UeCLhNRTEEQtI2kY4ElcZfQG439uTkMqdfG+mnzBjO7qzYlg7YJAxEEQdv00dNh0Hs5BANDGIggCIKglOgHEQRB20haSNLFkp6X9Fzqo7BQt/UK6iEMRBAEnXAGnr+wALAgcFnaFwwDwsUUBEHbNJr9tNoXTJnEDCIIgk54UdJukkak227AS91WKqiHmEEEQdA2khYBTgTWTrtuBg6ICqnDgzAQQRAEQSnhYgqCoG0kHS1pNkkjJV0j6cXkZgqGAWEggiDohM3N7HVgK2AC8BGg09pMwRAhDEQQBJ0wMt1/AhhrZi93U5mgXqJYXxAEnXCZpAeBt4AvSxoNvN1lnYKaiEXqIAg6QtKcwOupuutMwGxm9t9u6xV0TriYgiBoG0k7Au8n4/AD4Pd4VnUwDAgDEQRBJxxiZhMlrQdsgfdxOLnLOgU1EQYiCIJO+CDdfxI42cwuAabroj5BjYSBCIKgE56W9GvgM8BfJE1PnFeGDbFIHQRB26RF6Y8D95rZw5LmB5Y3syu7rFpQA2HpgyBoGzN7E3geWC/teh94uHsaBXUSM4ggCNpG0qHAasBSZvYRSQsA55vZul1WLaiBmEEEQdAJ2wPbAG8AmNkzwKxd1SiojTAQQRB0wrvmbggDkDRzl/UJaiQMRBAEnXBeimKaQ9IXgKuB07qsU1ATsQYRBEFHSNoM2BwQ8Dczu6rLKgU1EQYiCIK2kXSUmX231b5gyiRcTEEQdMJmJfu2HHQtggEhyn0HQZCNpC8BXwYWl3RP4alZ8b7UwTAgXExBEGQjaXZgTuAI4KDCUxOjadDwIQxEEAQdIWkEMC8Fj4SZPdk9jYK6CBdTEARtI+krwGHAc8CHabcBK3RLp6A+YgYRBEHbSHoEWNPMXuq2LkH9RBRTEASd8BTwWreVCAaGcDEFQdAJjwLXSfoz8E5jp5kd1z2VgroIAxEEQSc8mW7TEZ3khh2xBhEEQcdImhUwM/tft3UJ6iPWIIIgaBtJy0m6C7gPuF/SOEkf7bZeQT2EgQiCoBNOBb5pZoua2aLAt4DfdFmnoCbCQARB0Akzm9m1jQ0zuw6InhDDhFikDoKgEx6VdAhwdtreDXisi/oENRIziCAIOmFvYDRwEXBxerxXVzUKaiOimIIgCIJSwsUUBEHbSFoN+B4wht7F+qIW0zAgZhBBELSNpIeA7wD30lOsDzN7omtKBbURM4ggCDrhBTO7tNtKBANDzCCCIGgbSZsCuwDX0LsW00VdUyqojZhBBEHQCXsBSwMj6d0PIgzEMCAMRBAEnbCimS3fbSWCgSHyIIIg6IRbJS3bbSWCgSHWIIIgaBtJDwBL4NnT7wDCq7pGmOswIAxEEARtI2nRsv0R5jo8CAMRBEEQlBJrEEEQBEEpYSCCIAiCUsJABMEwRNLjkj7WbT2CKZswEMGAIemzku6Q9D9Jz0q6QtJ6Hco8TNLv69KxbiTNIem3kv4raaKkf0v6brf16gtJ30vfz/8kvS3pg8L2/d3WL+guYSCCAUHSN4FfAD8F5gUWAX4FbNtFtWpFUlmi6c+BWYBlgNmBbYD/DNJ7Z2NmPzWzWcxsFmA/4B+NbTOr3Fta0og69AmGFmEggtqRNDvwQ2B/M7vIzN4ws/fM7DIz+056zZmSflwYs5GkCYXt70p6Ol2FPyRpU0kfx0tL75SucO9Or11A0qWSXpb0iKQvFOQcJul8Sb9Psu6V9BFJB0t6XtJTkjYv6i7p9DTjeVrSjxsnP0mfk3SzpJ9Lehk4rOTjrw6cY2avmNmHZvagmV1QkL+0pKuSrg9J+kzhuU9KukvS60mvwwrPjZFkkvaR9CTw97T/C5IeSJ/tX5JWKeiykqR7JL0m6Y+SZsj8HvvT9UxJJ0v6i6Q3gI2TW+s76T3fSMdx3jRznCjpaklz5ugQdBkzi1vcar0BHwfeB6bt5zVnAj8ubG8ETEiPlwKeAhZI22OAJdLjw4DfN8m6Hp+dzACsBLwAbFp4/dvAFnhpmd/hSV3fx+sHfQF4rCDrT8Cv8b7K8wC3A19Mz30ufa6vJlkzlnyu04D78RpFSzY9N3P6XHul8asALwIfLRyD5fELtxWA54DtCsfAkv4zAzMCOwJP40ZJwP8Bi6bXP550XwAYBTwA7Nfie/sccFNFXc8EXgPWTfrOkN7zVnzGuCDwPHAnsDIwPW7UDu327zNu1W8xgwgGgrmAF83s/TbHf4CfUJaVNNLMHjezUjeNpIWB9YDvmtnbZjYeP0nvXnjZjWb2t6TP+XhbzCPN7D3gXGBMWjuYF9gS+Lr5rOd53GW0c0HWM2Z2gpm9b2Zvlaj0VeAPwFeAf6UZzZbpua2Ax83sjDT+TuBCYAcAM7vOzO41n3ncA4wFNmySf1jS7S3g88DRZvZPcx6x3glqvzSzZ8zsZeAy3HhWpV9dE5eY2c1J37fTvhPM7Dkzexq4EbjNzO4ys3fwlqQrZ+gQdJkwEMFA8BIwd7t+cjN7BPg6fvX/vKRzJS3Qx8sXAF42s4mFfU/gV7ANnis8fgs3Xh8UtsHXDRbFZxXPSnpV0qv4bGKewvinWuj+lrlff1XcUJ4HnC9pVJK/ZkN2kr8rMB+ApDUlXSvpBUmv4WsCcze9RfH9F6b/9Y3/Fh6/mT5jVfrVtUSXBs3Hunk7R4egy4SBCAaCf+Bune36ec0bwEyF7eKJBzM7x8zWw09UBhzVeKpJzjPAKEmzFvYtgrtecnkKryc0t5nNkW6zWe/F2sqlB8zsdXyRfmZgsST/+oLsOcwXg7+UhpwDXAosbGazA6fgrqNeYpv0XSLnA2bQStdmXYJhSBiIoHbM7DXg/wEnSdpO0kySRkraUtLR6WXjgU9IGiVpPnzGAICkpSRtIml63NC8hbudwK9Ix0iaJr3XU8AtwBGSZpC0ArAP7ubJ1ftZ4ErgWEmzSZpG0hKSmt08fSLpEEmrS5ouLQofALwKPARcDnxE0u7peIxMr10mDZ8Vnw29LWkN4LMt3u404NuSVpXzf+qjNlIbtNI1mAoIAxEMCGZ2HPBN4Af4ovFTuF/+T+klZwN34wubVwJ/LAyfHjgSXxT9L+7i+V567vx0/5KkO9PjXfBF3GdwP/ehZnZVm6rvAUwH/At4BbgAmD9jvAFnJN2fATYDPmlm/0tusM3xNY1n8M92FP55Ab4M/FDSRNzAntfvG5mdD/wEn3lMxI/tqAxd+5PdStdgKiCK9QVBEASlxAwiCIIgKCUMRBAEQVBKGIggCIKglDAQQRAEQSlhIIIgCIJSwkAEQRAEpYSBCIIgCEoJAxEEQRCUEgYiCIIgKOX/A4eZPcwkOYeRAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = RoAS.plot.bar(x='Customer Search Term', y='RoAS', rot=90)\n",
    "ax.set_xlabel(\"Customer Search Term\", fontsize=12)\n",
    "ax.set_ylabel(\"RoAS\", fontsize=12)\n",
    "ax.set_title(\"Highest ROAS\", fontsize=16, fontweight=\"bold\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.barplot(x = 'Customer Search Term', y = 'RoAS', hue = 'Campaign Name', data = RoAS)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize = (15,8))\n",
    "ax = sns.barplot(x = 'Customer Search Term', y = 'RoAS', hue = 'Campaign Name', data = RoAS)\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation = 30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ax = sns.barplot(x = 'Customer Search Term', y = 'RoAS', hue = 'Campaign Name', data = RoAS)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(12, 10))\n",
    "sns.regplot(df['Spend'], df['7 Day Total Sales '])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(12, 10))\n",
    "sns.regplot(df['Spend Per Day'], df['Sales Per Day'])\n",
    "plt.savefig('images\\sales-spending.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(12, 10))\n",
    "sns.regplot(df['Spend Per Day'], df['Impressions Per Day'])\n",
    "plt.savefig('images\\impressions-spending.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "slope, intercept, r_value, p_value, std_err = stats.linregress(df['Spend Per Day'],df['Impressions Per Day'])\n",
    "ax = sns.regplot(x='Spend Per Day', y = 'Impressions Per Day', data = df, color='Purple',\n",
    "                line_kws={'label':\"y={0:1f}x+{1:1f}\".format(slope,intercept)})\n",
    "ax.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "slope, intercept, r_value, p_value, std_err = stats.linregress(df['Spend Per Day'],df['Sales Per Day'])\n",
    "ax = sns.regplot(x='Spend Per Day', y = 'Sales Per Day', data = df, color='Blue',\n",
    "                line_kws={'label':\"y={0:1f}x+{1:1f}\".format(slope,intercept)})\n",
    "ax.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "res = stats.linregress(df['Spend Per Day'],df['Impressions Per Day'])\n",
    "print(f\"R-squared: {res.rvalue**2:.6f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.plot(df['Spend Per Day'],df['Sales Per Day'], 'o', label='original data')\n",
    "plt.plot(df['Spend Per Day'], res.intercept + res.slope*df['Spend Per Day'], 'r', label='fitted line')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X=df['Spend Per Day']\n",
    "Y=df['Impressions Per Day']\n",
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.stats import linregress\n",
    "X = df['Spend Per Day'].values\n",
    "Y = df['Impressions Per Day'].values\n",
    "linregress(X, Y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "corr = df.loc[df['Campaign Name'] == 'Floral - Manual'].corr()[['Spend Per Day']]\n",
    "corr = corr.sort_values(by='Spend Per Day', ascending=False)\n",
    "plt.figure(figsize=(15, 10))\n",
    "sns.heatmap(corr, annot=True)\n",
    "plt.savefig('images\\heatmap.png')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.lmplot(data=df, x='Spend Per Day', y='Total Advertising Cost of Sales (ACoS) ', hue='Campaign Name', height=7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(12, 10))\n",
    "sns.regplot(df['7 Day Total Sales '], df['Impressions Per Day'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(12, 10))\n",
    "sns.regplot(df['7 Day Total Sales '], df['Clicks'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Campaign Name'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.loc[df['Campaign Name'].str.contains('Rainforest'), 'Campaign Name'] = \"Rainforest\"\n",
    "df.loc[df['Campaign Name'].str.contains('Floral'), 'Campaign Name'] = \"Floral\"\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "grid = df[['Campaign Name','Impressions Per Day','Spend Per Day','Sales Per Day','Clicks','Click-Thru Rate (CTR)']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.pairplot(grid, hue=\"Campaign Name\", markers=[\"o\", \"s\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.relplot(x=\"Spend Per Day\", y=\"Sales Per Day\",\n",
    "            col=\"Campaign Name\", data=grid);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['ACoS'] = df['Spend']/df['7 Day Total Sales ']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "no_zero=df[(df != 0).all(1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "no_zero['ACoS'] = no_zero['Spend']/no_zero['7 Day Total Sales ']*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "no_zero"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(12, 10))\n",
    "sns.regplot(no_zero['Spend Per Day'], no_zero['ACoS'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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
}