Explain how to Plot categorical data using seaborn?
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# Explain how to Plot categorical data using seaborn?

This recipe explains how to Plot categorical data using seaborn

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## Recipe Objective

Plot categorical data using seaborn.

Categorical data is data which are having repeating values present in it the values could binary or numerical or string values, for e.g. Male and female, 0 and 1, True and false and more. Lets understand how to visualize them.

## Step 1 - Import the necessary values

`import seaborn as sns ` `import matplotlib.pyplot as plt `

## Step 2 - load the dataset

`titanic_data = sns.load_dataset('titanic')` `titanic_data.head()`

## Step 3 - Plot the graph with different examples

`sns.catplot(x='survived',y='age', data=titanic_data)` `sns.catplot(x='survived',y='age', kind="swarm", data=titanic_data)` `sns.catplot(x='survived',y='age', jitter=False, data=titanic_data)`

Here from the above figures: x - denotes which variable to be plot on x-axis y - denotes which variable to be plot on y-axis data - denotes the Sample data name that we have taken. kind - denotes which type of graph we want for plotting for e.g bar, scatter, violin etc.

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