EDA - Data Wrangling.ipynb

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       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Income</th>\n",
       "      <th>Kidhome</th>\n",
       "      <th>Teenhome</th>\n",
       "      <th>Recency</th>\n",
       "      <th>MntWines</th>\n",
       "      <th>MntFruits</th>\n",
       "      <th>MntMeatProducts</th>\n",
       "      <th>MntFishProducts</th>\n",
       "      <th>MntSweetProducts</th>\n",
       "      <th>MntGoldProds</th>\n",
       "      <th>...</th>\n",
       "      <th>marital_Together</th>\n",
       "      <th>marital_Widow</th>\n",
       "      <th>education_2n Cycle</th>\n",
       "      <th>education_Basic</th>\n",
       "      <th>education_Graduation</th>\n",
       "      <th>education_Master</th>\n",
       "      <th>education_PhD</th>\n",
       "      <th>MntTotal</th>\n",
       "      <th>MntRegularProds</th>\n",
       "      <th>AcceptedCmpOverall</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>58138.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>58</td>\n",
       "      <td>635</td>\n",
       "      <td>88</td>\n",
       "      <td>546</td>\n",
       "      <td>172</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
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       "      <td>1529</td>\n",
       "      <td>1441</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>46344.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>38</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>734</td>\n",
       "      <td>692</td>\n",
       "      <td>0</td>\n",
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       "      <th>3</th>\n",
       "      <td>26646.0</td>\n",
       "      <td>1</td>\n",
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       "      <td>26</td>\n",
       "      <td>11</td>\n",
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       "</table>\n",
       "<p>5 rows × 39 columns</p>\n",
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      ],
      "text/plain": [
       "    Income  Kidhome  Teenhome  Recency  MntWines  MntFruits  MntMeatProducts  \\\n",
       "0  58138.0        0         0       58       635         88              546   \n",
       "1  46344.0        1         1       38        11          1                6   \n",
       "2  71613.0        0         0       26       426         49              127   \n",
       "3  26646.0        1         0       26        11          4               20   \n",
       "4  58293.0        1         0       94       173         43              118   \n",
       "\n",
       "   MntFishProducts  MntSweetProducts  MntGoldProds  ...  marital_Together  \\\n",
       "0              172                88            88  ...                 0   \n",
       "1                2                 1             6  ...                 0   \n",
       "2              111                21            42  ...                 1   \n",
       "3               10                 3             5  ...                 1   \n",
       "4               46                27            15  ...                 0   \n",
       "\n",
       "   marital_Widow  education_2n Cycle  education_Basic  education_Graduation  \\\n",
       "0              0                   0                0                     1   \n",
       "1              0                   0                0                     1   \n",
       "2              0                   0                0                     1   \n",
       "3              0                   0                0                     1   \n",
       "4              0                   0                0                     0   \n",
       "\n",
       "   education_Master  education_PhD  MntTotal  MntRegularProds  \\\n",
       "0                 0              0      1529             1441   \n",
       "1                 0              0        21               15   \n",
       "2                 0              0       734              692   \n",
       "3                 0              0        48               43   \n",
       "4                 0              1       407              392   \n",
       "\n",
       "   AcceptedCmpOverall  \n",
       "0                   0  \n",
       "1                   0  \n",
       "2                   0  \n",
       "3                   0  \n",
       "4                   0  \n",
       "\n",
       "[5 rows x 39 columns]"
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     },
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   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "fd = pd.read_csv('Marketing Analytics\\EDA\\ifood_df.csv')\n",
    "fd.head()"
   ]
  }
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