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"For the examples in this section, we'll use the database of passengers on the *Titanic*, available through the Seaborn library (see [Visualization With Seaborn](04.14-Visualization-With-Seaborn.ipynb)):"
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Line #4.    titanic = sns.load_dataset('titanic')

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"For the examples in this section, we'll use the database of passengers on the *Titanic*, available through the Seaborn library (see [Visualization With Seaborn](04.14-Visualization-With-Seaborn.ipynb)):"
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Line #3.    titanic.pivot_table('survived', ['sex', age], [fare, 'class'])

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"For the examples in this section, we'll use the database of passengers on the *Titanic*, available through the Seaborn library (see [Visualization With Seaborn](04.14-Visualization-With-Seaborn.ipynb)):"
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@amit1rrr amit1rrr May 24, 2021

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Line #4.    
births.pivot_table('births', index='year', columns='gender', aggfunc='sum').plot()

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