For this tutorial we’ll use the Titanic data.
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The Titanic data have been assigned to a variable named df.
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Hover over the icon. Select the Transformations item from the popup menu.   
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The Transformations dialog appears. Select the target variable from the dropdown menu and preview the data. 
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Click on the kebab icon to the right of any of the nanvalues in theCabincolumn. Then click on the Filter values like this popup button.  
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A dialog appears with fields to choose a column, an operator and a value. The value is set to nanby default.
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Since we are wanting to exclude records with missing values, we change the operator from ==to!=. Press the button.  
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The required code is inserted into the notebook and immediately executed. 
 
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Under the Column selector choose Embarked. SetOperatorto==andValuetoS. Turn theas stringtoggle on. Press the button.  
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The preview is updated to show only those records where Embarkedis"S".
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Under the Column selector choose Pclass. SetOperatorto<andValueto3. Press the button.
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The preview is updated to show only those records where Embarkedis"S"andPclassis less than 3. Press the button.
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The required code is inserted into the notebook and immediately executed. 
 
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Group and aggregate records to generate summary data. 

