Article Details

Title · Authors · Abstract · Keywords · DOI · References

Research on Intelligent Analysis and Visualization of Mobile Phone Sales Data Based on Python

CAI Xiaodan, WU Fang, GENG Yipeng, MEI Xiangxiang

(Yonyou Digital Intelligence College, Nantong Institute of Technology, Nantong 226002, China)

Section：Computer Technology · Vol. 2026, Issue 12 · Pages：76-80 · 2096-4706（2026）12-0076-05 · CLC number：TP391.4 · Document code：A · DOI：10.19850/j.cnki.2096-4706.2026.12.015

Abstract

With the rapid development of mobile internet, mobile phone sales data exhibit characteristics of scalability, real-time processing, and multi-sourcing. To address the issues of low efficiency and difficulty in adapting to complex data in traditional manual analysis, this paper proposes a mobile phone sales data analysis and visualization system based on Python. The system implements functions such as data collection, structured preprocessing, visual display, and intelligent sales forecasting. Experiments show that the constructed random forest model achieves an accuracy rate of 78.91% in sales level prediction, significantly outperforming logistic regression (38.54%), demonstrating high accuracy.

Keywords

mobile phone sales data; Python; data analysis and visualization; Random Forest model; sales prediction

References

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Funding

Research Project on Higher Education Teaching Reform of Nantong University of Science and Technology (2025JJG042); Key Research Project on Informationization of Higher Education in Jiangsu Province in 2025 (2025JSETKT036); Special Project of "Research on Artificial Intelligence General Education Teaching Reform" at Nantong University of Science and Technology (2025JJG005); 2024 Nantong Natural Science Foundation and Social Livelihood Science and Technology Plan Project (MSZ2024122)

About the authors

Cai Xiaodan (1989-), female, Han nationality, from Nantong, Jiangsu, lecturer, master's degree, research direction: data analysis and mining.