Наука и инновации 4-jild vation-son (2026) · 82–85-betlar

METHODS OF DATA VISUALIZATION USING MATPLOTLIB AND SEABORN

Abduvaliyev, Madina, Sobirjonov, Behzod FarDU Axborot texnologiyalari

DOI: 10.5281/zenodo.20292147 · Manbada o'qish → · PDF (manba serverida)

Annotatsiya

This article explores the significance of data visualization in modern Data Science and the capabilities of using Python's Matplotlib and Seaborn libraries in this process. The text explains the criteria for selecting chart types based on data types (numerical, categorical, time-series, and geographic). Furthermore, it analyzes how the integration of Matplotlib's flexibility and Seaborn's statistical aesthetics simplifies data analysis and enhances the decision-making process.

Ma’lumotlar vizualizatsiyasiPythonMatplotlibSeabornstatistik tahlilgrafik turlarima’lumotlar tahlili (Data Analytics)vizualizatsiya estetikasitendentsiyalar va anomaliyalar.Data visualization

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