Advances in International Computer Science
Advances in International Computer Science. 2022; 2: (2) ; 10.12208/j. aics.20220016 .
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四川轻化工大学计算机科学与工程学院 四川自贡
*通讯作者： 赵彬,单位：四川轻化工大学计算机科学与工程学院 四川自贡；
本文选取宜宾市5县区做重点研究样本，在ArcGIS、Python、Echarts、Pyecharts等软件技术支持下对链家平台2021年宜宾市在售二手房房产数据获取、清洗及可视化研究，科学、客观的认识宜宾市住宅价格分异的规律,探寻各影响因素对住宅价格的影响情况,促进城市规划建设,促进房地产市场稳健发展。
In this paper, five counties and districts of Yibin City are selected as key research samples. With the support of ArcGIS, python, echorts, pyechards and other software technologies, this paper studies the data acquisition, cleaning and visualization of second-hand houses sold in Yibin City in 2021 on the chain home platform, scientifically and objectively understands the law of housing price differentiation in Yibin City, explores the impact of various influencing factors on housing prices, promotes urban planning and construction, and promotes the steady development of the real estate market.
[1] Tuarob Suppawong et al. DAViS: a unified solution for data collection, analyzation, and visualization in real-time stock market prediction[J]. Financial Innovation, 2021, 7(1)
[2] Qiu Yongjian and Lu Jing. A visualization algorithm for medical big data based on deep learning[J]. Measurement, 2021, 183
[3] 夏佳志,李杰,陈思明,秦红星,刘世霞.可视化与人工智能交叉研究综述[J/OL].中国科学:信息科学:1-25[2021-11-18].http://gffiyc3066c973e9140a1hp90f56p9nupp6fnp.fffb.suse.cwkeji.cn:999/kcms/detail/11.5846.TP.20211115.0847.002.html.
[4] 曾婷婷. 基于机器学习的房价预测模型研究[D].西南科技大学,2020.
[5] 魏迪. 城市二手房交易数据可视化系统研究与实现[D].天津大学,2018.
[6] Dobson Barnaby A. et al. Effects of flood hazard visualization format on house purchasing decisions[J]. Urban Water Journal, 2018, 15(7) : 671-681.
[7] 徐征,洪明月,宋玉. 基于“人才引进”政策的西安楼市现状探究及房价预测[A]. 中国统计教育学会、教育部高等学校统计学类专业教学指导委员会、全国应用统计专业学位研究生教育指导委员会.2019年（第六届）全国大学生统计建模大赛优秀论文集[C].中国统计教育学会、教育部高等学校统计学类专业教学指导委员会、全国应用统计专业学位研究生教育指导委员会:中国统计教育学会,2019:56.