Explain how to Box plot using seaborn?
This recipe explains how to Box plot using seaborn
Recipe Objective
Box plot using seaborn.
Box plot are the plot which is a visual representation of depicting groups of numerical data through their quartiles. Box plot summarizes the data using the 25th, 50th, and 75th percentiles. The plot is mainly used for detecting outliers.
Step 1 - Import the necessary library
import seaborn as sns
Step 2 - load the sample dataset
tips_data = sns.load_dataset('tips')
tips_data.head()
Step 3 - Plot the graph
sns.boxplot(x='size', y='total_bill', data=tips_data)
Here from the above figure: 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.
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