How to use function seaborn in Python? - with practical example

Seaborn is a powerful data visualization library in Python that is built on top of Matplotlib. It provides a high-level interface for creating attractive and informative statistical graphics. In this video, I will show you how to use the seaborn function in Python with two different examples. Example 1: Creating a scatter plot with seaborn Step 1: Import the necessary libraries Step 2: Load a sample dataset from seaborn Step 3: Create a scatter plot using the scatterplot function in seaborn Step 4: Customize the plot by adding labels and a title 
import seaborn as sns
import matplotlib.pyplot as plt

# Load a sample dataset
tips = sns.load_dataset("tips")

# Create a scatter plot
sns.scatterplot(x="total_bill", y="tip", data=tips)

# Add labels and title
plt.xlabel("Total Bill")
plt.ylabel("Tip")
plt.title("Scatter Plot of Total Bill vs Tip")

plt.show()

Example 2: Creating a box plot with seaborn Step 1: Import the necessary libraries Step 2: Load a sample dataset from seaborn Step 3: Create a box plot using the boxplot function in seaborn Step 4: Customize the plot by adding labels and a title 
import seaborn as sns
import matplotlib.pyplot as plt

# Load a sample dataset
tips = sns.load_dataset("tips")

# Create a box plot
sns.boxplot(x="day", y="total_bill", data=tips)

# Add labels and title
plt.xlabel("Day of the Week")
plt.ylabel("Total Bill")
plt.title("Box Plot of Total Bill by Day")

plt.show()

By following these steps and examples, you can easily use the seaborn function in Python to create various types of visualizations for your data analysis projects.

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