Which parameter in Seaborn's boxplot can be used to show or hide the outliers?showfliersoutliersfliersizeshowoutliers

The parameter in Seaborn's boxplot that can be used to show or hide the outliers is showfliers.

When creating a boxplot using Seaborn, the showfliers parameter determines whether the outlier points will be displayed. By default, this parameter is set to True, which means that any data points considered outliers will be shown as individual points outside the main box of data. If you set showfliers to False, these outlier points will be hidden from the plot, providing a cleaner appearance and focusing on the overall distribution of the data without the influence of extreme values.

Here’s an example of how you might use this in code:

import seaborn as sns
import matplotlib.pyplot as plt

# Sample data
data = sns.load_dataset("tips")

# Boxplot with outliers
sns.boxplot(x='day', y='total_bill', data=data, showfliers=True)
plt.title("Boxplot with Outliers")
plt.show()

# Boxplot without outliers
sns.boxplot(x='day', y='total_bill', data=data, showfliers=False)
plt.title("Boxplot without Outliers")
plt.show()

In this example, the first boxplot displays the outliers, while the second one hides them, illustrating how the showfliers parameter works.