<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>PassengerId</th>
      <th>Pclass</th>
      <th>Name</th>
      <th>Sex</th>
      <th>Age</th>
      <th>SibSp</th>
      <th>Parch</th>
      <th>Ticket</th>
      <th>Fare</th>
      <th>Cabin</th>
      <th>Embarked</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>892</td>
      <td>3</td>
      <td>Kelly, Mr. James</td>
      <td>male</td>
      <td>34.5</td>
      <td>0</td>
      <td>0</td>
      <td>330911</td>
      <td>7.8292</td>
      <td>NaN</td>
      <td>Q</td>
    </tr>
    <tr>
      <th>1</th>
      <td>893</td>
      <td>3</td>
      <td>Wilkes, Mrs. James (Ellen Needs)</td>
      <td>female</td>
      <td>47.0</td>
      <td>1</td>
      <td>0</td>
      <td>363272</td>
      <td>7.0000</td>
      <td>NaN</td>
      <td>S</td>
    </tr>
    <tr>
      <th>2</th>
      <td>894</td>
      <td>2</td>
      <td>Myles, Mr. Thomas Francis</td>
      <td>male</td>
      <td>62.0</td>
      <td>0</td>
      <td>0</td>
      <td>240276</td>
      <td>9.6875</td>
      <td>NaN</td>
      <td>Q</td>
    </tr>
    <tr>
      <th>3</th>
      <td>895</td>
      <td>3</td>
      <td>Wirz, Mr. Albert</td>
      <td>male</td>
      <td>27.0</td>
      <td>0</td>
      <td>0</td>
      <td>315154</td>
      <td>8.6625</td>
      <td>NaN</td>
      <td>S</td>
    </tr>
    <tr>
      <th>4</th>
      <td>896</td>
      <td>3</td>
      <td>Hirvonen, Mrs. Alexander (Helga E Lindqvist)</td>
      <td>female</td>
      <td>22.0</td>
      <td>1</td>
      <td>1</td>
      <td>3101298</td>
      <td>12.2875</td>
      <td>NaN</td>
      <td>S</td>
    </tr>
  </tbody>
</table>
</div>

   PassengerId  Pclass                                          Name     Sex  \
0          892       3                              Kelly, Mr. James    male   
1          893       3              Wilkes, Mrs. James (Ellen Needs)  female   
2          894       2                     Myles, Mr. Thomas Francis    male   
3          895       3                              Wirz, Mr. Albert    male   
4          896       3  Hirvonen, Mrs. Alexander (Helga E Lindqvist)  female   

    Age  SibSp  Parch   Ticket     Fare Cabin Embarked  
0  34.5      0      0   330911   7.8292   NaN        Q  
1  47.0      1      0   363272   7.0000   NaN        S  
2  62.0      0      0   240276   9.6875   NaN        Q  
3  27.0      0      0   315154   8.6625   NaN        S  
4  22.0      1      1  3101298  12.2875   NaN        S  

Visualizing Customer Demographics Segmentation and Engagement Rates

can you visualize customer demographics segmentation groups, and engagement rates

can you visualize passenger demographics age and survived

can you visualize passenger demographics x = age and y = survived

can you visualize passenger bar chart x = age and y = survived

can you visualize passenger pie chart segment passenger to survived

can you visualize passenger pie chart segment passenger to Sex

can you visualize passenger bar chart segment passenger to Pclass to age

can you visualize passenger demographics age to survived

PassengerId	Pclass	Name	Sex	Age	SibSp	Parch	Ticket	Fare	Cabin	Embarked
892	3	Kelly, Mr. James	male	34.5	0	0	330911	7.8292	NaN	Q
893	3	Wilkes, Mrs. James (Ellen Needs)	female	47	1	0	363272	7	NaN	S
894	2	Myles, Mr. Thomas Francis	male	62	0	0	240276	9.6875	NaN	Q
895	3	Wirz, Mr. Albert	male	27	0	0	315154	8.6625	NaN	S
896	3	Hirvonen, Mrs. Alexander (Helga E Lindqvist)	female	22	1	1	3101298	12.2875	NaN	S