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Pairplot in Seaborn library usage for data science

Python library used for data visualization and exploration.  pairplot function, in seaborn library allows us to create a grid of scatter plots and histograms

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Python library used for data visualization and exploration. pairplot function, in seaborn library allows us to create a grid of scatter plots and histograms which is useful in visualizing the relationships between multiple variables in a dataset.


Quick overview of the pairwise relationships between variables in a dataset reveal by the pairplot.


Data scientists and data analysts use pairplot in identifying patterns, correlations, and potential outliers in the data.

When dataset has small number of features (variables), using pairplot is easy and can quickly generate scatter plots for all possible combinations of variables.


To use pairplot in Seaborn module, you'll need to have Seaborn and Matplotlib installed.


import seaborn as sns
import matplotlib.pyplot as plt

import pandas as pd

Df=pd.read_csv("MarketingExpenses_SalesRevenue.csv")
Df


Dataframe read from CSV file

sns.pairplot(Df)

#


pairplot generates a grid of scatter plots for all the numerical variables in DataFrame

Each scatter plot showing relationship between two variables, with histograms for each variable displayed on the diagonal.


It is possible to  customize the pairplot by passing additional parameters such as  the subset of variables  using the vars parameter.


sns.pairplot(df, vars=['column1', 'column2'])

plt.show()





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