<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>ID</th>
      <th>Marital Status</th>
      <th>Gender</th>
      <th>Income</th>
      <th>Children</th>
      <th>Education</th>
      <th>Occupation</th>
      <th>Home Owner</th>
      <th>Cars</th>
      <th>Commute Distance</th>
      <th>Region</th>
      <th>Age</th>
      <th>Bike Owners</th>
      <th>Unnamed: 13</th>
      <th>Unnamed: 14</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>12496</td>
      <td>M</td>
      <td>F</td>
      <td>40000</td>
      <td>1</td>
      <td>Bachelors</td>
      <td>Skilled Manual</td>
      <td>Yes</td>
      <td>0</td>
      <td>0-1 Miles</td>
      <td>Europe</td>
      <td>42</td>
      <td>No</td>
      <td>Count the number of MALES IN EUROPE</td>
      <td>144.0</td>
    </tr>
    <tr>
      <th>1</th>
      <td>24107</td>
      <td>M</td>
      <td>M</td>
      <td>30000</td>
      <td>3</td>
      <td>Partial College</td>
      <td>Clerical</td>
      <td>Yes</td>
      <td>1</td>
      <td>0-1 Miles</td>
      <td>Europe</td>
      <td>43</td>
      <td>No</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>2</th>
      <td>14177</td>
      <td>M</td>
      <td>M</td>
      <td>80000</td>
      <td>5</td>
      <td>Partial College</td>
      <td>Professional</td>
      <td>No</td>
      <td>2</td>
      <td>2-5 Miles</td>
      <td>Europe</td>
      <td>60</td>
      <td>No</td>
      <td>Count the number of home owners in Europe</td>
      <td>205.0</td>
    </tr>
    <tr>
      <th>3</th>
      <td>24381</td>
      <td>S</td>
      <td>M</td>
      <td>70000</td>
      <td>0</td>
      <td>Bachelors</td>
      <td>Professional</td>
      <td>Yes</td>
      <td>1</td>
      <td>5-10 Miles</td>
      <td>Pacific</td>
      <td>41</td>
      <td>Yes</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>4</th>
      <td>25597</td>
      <td>S</td>
      <td>M</td>
      <td>30000</td>
      <td>0</td>
      <td>Bachelors</td>
      <td>Clerical</td>
      <td>No</td>
      <td>0</td>
      <td>0-1 Miles</td>
      <td>Europe</td>
      <td>36</td>
      <td>Yes</td>
      <td>Count the number of Male home owners in Europe...</td>
      <td>167.0</td>
    </tr>
  </tbody>
</table>
</div>

      ID Marital Status Gender  Income  Children        Education  \
0  12496              M      F   40000         1        Bachelors   
1  24107              M      M   30000         3  Partial College   
2  14177              M      M   80000         5  Partial College   
3  24381              S      M   70000         0        Bachelors   
4  25597              S      M   30000         0        Bachelors   

       Occupation Home Owner  Cars Commute Distance   Region  Age Bike Owners  \
0  Skilled Manual        Yes     0        0-1 Miles   Europe   42          No   
1        Clerical        Yes     1        0-1 Miles   Europe   43          No   
2    Professional         No     2        2-5 Miles   Europe   60          No   
3    Professional        Yes     1       5-10 Miles  Pacific   41         Yes   
4        Clerical         No     0        0-1 Miles   Europe   36         Yes   

                                         Unnamed: 13  Unnamed: 14  
0                Count the number of MALES IN EUROPE        144.0  
1                                                NaN          NaN  
2         Count the number of home owners in Europe         205.0  
3                                                NaN          NaN  
4  Count the number of Male home owners in Europe...        167.0  

Exploratory Data Analysis of Income, Gender, Region, and Home Ownership

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Summary of Analysis

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