Қўқон университети хабарномаси 14-jild (2025) · 248-251-betlar

DEMOGRAPHIC ANALYSIS OF POPULATION OF UZBEKISTAN USING DATA SCIENCE TOOL PANDAS

Meliboev, Azizjon, Asqarov, Elbek, Azizbek, Naraliyev

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Annotatsiya

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.

Data science, Pandas tool, EDA, demographic analysis

Metadata manbasi: jurnal OAI-PMH arxivi · Sindex toʻliq matnni saqlamaydi, manbaga havola beradi.

Iqtibos olish

APA 7
Meliboev, Azizjon, Asqarov, Elbek & Azizbek, Naraliyev (2025). DEMOGRAPHIC ANALYSIS OF POPULATION OF UZBEKISTAN USING DATA SCIENCE TOOL PANDAS. Қўқон университети хабарномаси, 14, 248-251.
GOST R 7.0.5
Meliboev, Azizjon, Asqarov, Elbek, Azizbek, Naraliyev DEMOGRAPHIC ANALYSIS OF POPULATION OF UZBEKISTAN USING DATA SCIENCE TOOL PANDAS // Қўқон университети хабарномаси. 2025. Т. 14. С. 248-251.
BibTeX
@article{azizjon2025,
  author  = {Meliboev, Azizjon and Asqarov, Elbek and Azizbek, Naraliyev},
  title   = {DEMOGRAPHIC ANALYSIS OF POPULATION OF UZBEKISTAN USING DATA SCIENCE TOOL PANDAS},
  journal = {Қўқон университети хабарномаси},
  year    = {2025},
  volume  = {14},
  pages   = {248-251}
}
RIS
TY  - JOUR
AU  - Meliboev, Azizjon
AU  - Asqarov, Elbek
AU  - Azizbek, Naraliyev
TI  - DEMOGRAPHIC ANALYSIS OF POPULATION OF UZBEKISTAN USING DATA SCIENCE TOOL PANDAS
JO  - Қўқон университети хабарномаси
PY  - 2025
VL  - 14
SP  - 248
EP  - 251
ER  -