Super! Previously, we figured out what ``Seaborn`` is and even drew our first plot. 


Let's move on to the next plot! 


A **scatterplot** uses dots to represent values for two different numeric
variables. The position of each dot on the horizontal and vertical axis indicates values for an individual data point.

**To create a scatterplot based on a DataFrame:**

To initialize a scatterplot based on the ``pandas`` DataFrame we need to input at least 3 parameters: `x`, `y` - columns-coordinates for the plot and `data` - the DataFrame containing the data.

# Importing the Seaborn 
import seaborn as sns
# Importing the matplotlib.pyplot 
import matplotlib.pyplot as plt
# Importing the pandas 
import pandas as pd

# Reading the file
df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/c5b4ea8f-8a30-439f-9625-ddf2effbd9ac/example4.csv')

# Creating the scatterplot
sns.scatterplot(x = 'x', y = 'y', data = df)

# Showing the plot
plt.show() 

In this section, we will come to know about the Seaborn library and will build our first plot!\n\nWe will also learn about friendship between the pandas and the Seaborn.

We continue learning plots with Seaborn.\n\nYou will learn some more new plots and even build 3-variable plot!

Plots seem so boring without customization...\nIn this section, we will learn how to make our plots perfectly styled!!