Analysis of World Population Growth Using Python

Year : 2024 | Volume :11 | Issue : 01 | Page : 15-20
By

Yash Tyagi

Neha Yadav

  1. Research Scholar MCA, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR), Mumbai Maharashtra India
  2. Research Scholar MCA, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR), Mumbai Maharashtra India

Abstract

In this research work, we studied data analysis using the Python programming language. The fundamental steps in data analysis, such as cleansing, converting, and modelling of data is briefly explained in this study. In order to come up with good results, data analysis is required. Python has been used by us for data analysis. This language is interactive, interpreted, and follows an object-oriented programming paradigm. It is open source and comes with a variety of libraries, including MAT plotlib, Seaborn, and Pandas. In this study, we focus primarily on the insights that might be discovered through exploratory data analysis of an existing dataset. The data from the dataset will be analysed graphically using various Python libraries and functions. The “World Population” dataset is used in this analysis to examine and extract different data in both numerical and visual form.

Keywords: Data analysis, exploratory data analysis, Pandas, Seaborn, matplotlib

[This article belongs to Recent Trends in Programming languages(rtpl)]

How to cite this article: Yash Tyagi, Neha Yadav. Analysis of World Population Growth Using Python. Recent Trends in Programming languages. 2024; 11(01):15-20.
How to cite this URL: Yash Tyagi, Neha Yadav. Analysis of World Population Growth Using Python. Recent Trends in Programming languages. 2024; 11(01):15-20. Available from: https://journals.stmjournals.com/rtpl/article=2024/view=138946


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Regular Issue Subscription Review Article
Volume 11
Issue 01
Received February 29, 2024
Accepted April 3, 2024
Published April 4, 2024