Data Analysis using Python Programming Language
Автор: Taiirbekova R., Kochkonbaeva B., Kalbaeva D.
Журнал: Бюллетень науки и практики @bulletennauki
Рубрика: Технические науки
Статья в выпуске: 5 т.11, 2025 года.
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Today, Python is the most powerful programming language for processing and analyzing big data. This is achieved through many useful language libraries, which are updated every day with new features. This article discusses the analysis of the demographic state of the population of Kyrgyzstan for 2019-2023 using the Python programming language and its libraries for processing and visualizing data. Using Python to analyze demographic data allows you to effectively process large amounts of information, identify patterns and present the results in a visual form. This approach can be useful for government agencies and researchers when planning demographic policy.
Python, pandas, matplotlib, data analysis, data processing, data visualization
Короткий адрес: https://sciup.org/14132405
IDR: 14132405 | DOI: 10.33619/2414-2948/114/20