Explain how to Plot categorical data using seaborn?
This recipe explains how to Plot categorical data using seaborn
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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