Exploratory Data Analysis (EDA) is a critical step in any data science project. It helps us understand the underlying patterns, relationships, and characteristics of our dataset. With Pandas, performing EDA becomes a breeze.

Data Summarization: One of the first steps in EDA is summarizing the data to get an overview. We can use Pandas functions like info(), describe(), and head() to quickly retrieve information about the dataset, summary statistics, and a glimpse of the data.

import pandas as pd

data = pd.read_csv('data.csv')

# Getting information about the dataset
print(data.info())

# Summary statistics
print(data.describe())

# Displaying the first few rows
print(data.head())