A Study on Spatial Visualization of Residential Prices in Yibin City with Big Data Technology

  • Bin Zhao School of Computer Science and Engineering, Sichuan University of Science & Engineering
  • Prof.Chao Chen School of Computer Science and Engineering, Sichuan University of Science & Engineering
Article ID: 3194
75 Views, 11 PDF Downloads
DOI: https://doi.org/10.18282/l-e.v10i9.3194
Keywords: Arcgis, Data visualization, Residential prices, Real Estate

Abstract

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.

References

[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] Xia Jiazhi, Li J, Chen S, Qin H-X, Liu S-X. A review of research at the intersection of visualization and artificial intelligence [J/OL]. Chinese Science:Information Science:1-25 [2021-11-18].(in Chinese).

Published
2022-07-24
How to Cite
Zhao, B., & Chen, P. (2022). A Study on Spatial Visualization of Residential Prices in Yibin City with Big Data Technology. Learning & Education, 10(9), 59-61. https://doi.org/10.18282/l-e.v10i9.3194
Issue
Vol. 10 No. 9 (2021)
Section
Article

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