DEMOGRAPHIC ANALYSIS OF POPULATION OF UZBEKISTAN USING DATA SCIENCE TOOL PANDAS

DEMOGRAPHIC ANALYSIS OF POPULATION OF UZBEKISTAN USING DATA SCIENCE TOOL PANDAS

Authors

  • Azizjon Meliboev Department of Digital Technology and Mathematics, Kokand University.
  • Elbek Asqarov Department of Digital Technology and Mathematics, Kokand University.
  • Naraliyev Azizbek

DOI:

https://doi.org/10.54613/ku.v14i.1175

Keywords:

Data science, Pandas tool, EDA, demographic analysis

Abstract

The purpose of this study is to use the data science tool Pandas to perform a demographic analysis of the Uzbek population.  We will investigate important demographic parameters as age distribution, gender ratio, population density, urban vs. rural population distribution, and population growth trends over time by utilizing Pandas' data manipulation and analysis capabilities.  In order to produce insightful findings, the analysis will entail importing population databases, cleaning and preparing the data, and doing exploratory data analysis (EDA).  The study will provide a thorough grasp of Uzbekistan's demographic structure by identifying patterns and trends within the country's population through statistical metrics and visualization.

Foydalanilgan adabiyotlar:

The pandas development team. (2020, February). pandas-dev/pandas: Pandas (latest version) [Software]. Zenodo. https://doi.org/10.5281/zenodo.3509134

Максакова, Л. П. (2020). DEMOGRAPHIC SECURITY IN MODERN UZBEKISTAN. TIME DESCRIPTION OF ECONOMIC REFORMS, (2), 22-30.

Narasimhan, V. M., Patterson, N., Moorjani, P., Rohland, N., Bernardos, R., Mallick, S., ... & Reich, D. (2019). The formation of human populations in South and Central Asia. Science, 365(6457), eaat7487.

Khasanova Shoirakhon Abdujabborovna. (2023). Demographic Indicators in The Republic of Uzbekistan and Their Importance in Medicine. Texas Journal of Medical Science, 27, 117–119. https://doi.org/10.62480/tjms.2023.vol27.pp117-119

Statistical data. Online aviable: https://stat.uz/en/

World bank: https://www.worldbank.org/en/home

United Nations Development Programme (UNDP): https://www.undp.org/

Atatistics Agency under the President of the Republic of Uzbekistan: https://stat.uz/uz/

Meliboev, A. (2024). IOT NETWORK INTRUSION DETECTION SYSTEM USING MACHINE LEARNING TECHNIQUES. QO‘QON UNIVERSITETI XABARNOMASI, 11(11), 112–115. https://doi.org/10.54613/ku.v11i11.972

Meliboev, A. (2024). MACHINE LEARNING METHODS FOR BREAST CANCER CLASSIFICATION BY USING DATA SCIENCE TECHNIQUES . QO‘QON UNIVERSITETI XABARNOMASI, 11(11), 101–104. https://doi.org/10.54613/ku.v11i11.969

Published

2025-03-30

Iqtiboslik olish

Meliboev, A., Asqarov, E., & Azizbek, N. (2025). DEMOGRAPHIC ANALYSIS OF POPULATION OF UZBEKISTAN USING DATA SCIENCE TOOL PANDAS. QO‘QON UNIVERSITETI XABARNOMASI, 14, 248–251. https://doi.org/10.54613/ku.v14i.1175

Issue

Section

Raqamli texnologiyalar / Digital technologies
Loading...