Scatterplot

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.

An example of a scatterplot:

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).

Look at the code below!

# 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()


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# 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()

Let's solve this problem!

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Swipe to start coding

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas with pd alias.
Create a scatterplot using 'x' column for the x-value and 'y' column for the y-value.
Show the plot.