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Implementation of Exploratory Data Analysis (EDA) in Python

by Ahmad Farhan AlShammari
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 32
Year of Publication: 2025
Authors: Ahmad Farhan AlShammari
10.5120/ijca2025925577

Ahmad Farhan AlShammari . Implementation of Exploratory Data Analysis (EDA) in Python. International Journal of Computer Applications. 187, 32 ( Aug 2025), 34-42. DOI=10.5120/ijca2025925577

@article{ 10.5120/ijca2025925577,
author = { Ahmad Farhan AlShammari },
title = { Implementation of Exploratory Data Analysis (EDA) in Python },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2025 },
volume = { 187 },
number = { 32 },
month = { Aug },
year = { 2025 },
issn = { 0975-8887 },
pages = { 34-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number32/implementation-of-exploratory-data-analysis-eda-in-python/ },
doi = { 10.5120/ijca2025925577 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-08-20T21:35:27+05:30
%A Ahmad Farhan AlShammari
%T Implementation of Exploratory Data Analysis (EDA) in Python
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 32
%P 34-42
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The goal of this research is to develop an exploratory data analysis model in Python. Exploratory Data Analysis (EDA) is used to understand the nature of data. It helps to identify the main characteristics of data (patterns, trends, and relationships). The application of exploratory data analysis helps to build a solid foundation for more advanced analysis. The basic steps of exploratory data analysis are explained: importing libraries, reading data, displaying data, displaying general information, computing descriptive statistics, cleaning data (duplicates, missing values, and outliers), and analyzing data (univariate, bivariate, and multivariate). The developed model was tested on an experimental dataset. The model successfully performed the basic steps of exploratory data analysis and provided the required results.

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Index Terms

Computer Science
Information Sciences

Keywords

Artificial Intelligence Machine Learning Data Science Data Analysis Exploratory Data Analysis EDA Univariate Bivariate Multivariate Python Programming.

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