Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)

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Data Visualization Analysis of JD Mobile Phone Based on Python and ECharts and Bootstrap

Authors
Luqiao Fan1, *, Banxiang Duan1, Jie Gao1
1Guangdong Polytechnic of Science and Technology, Computer Engineering and Technical College, Guangzhou, 510640, China
*Corresponding author. Email: 536714979@qq.com
Corresponding Author
Luqiao Fan
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-198-2_119How to use a DOI?
Keywords
big data analysis; data visualization; crawler; Python; ECharts; Bootstrap
Abstract

In order to more intuitively understand and mine the information behind mobile phone sales data, ECharts is used to visualize mobile phone sales data. After getting the sales data of three popular current mobile phones in JD website in 2022 through Python crawler technology, use ECharts to present the data in the form of bar chart, pie chart, word cloud chart, etc. Built a visual website interface through Bootstrap, and made use of the rich interaction functions of ECharts. Enable users to quickly access the information they need. In large data processing activities, ECharts can adapt to the visualization goal of high speed and low cost.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
10 August 2023
ISBN
10.2991/978-94-6463-198-2_119
ISSN
2589-4900
DOI
10.2991/978-94-6463-198-2_119How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Luqiao Fan
AU  - Banxiang Duan
AU  - Jie Gao
PY  - 2023
DA  - 2023/08/10
TI  - Data Visualization Analysis of JD Mobile Phone Based on Python and ECharts and Bootstrap
BT  - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
PB  - Atlantis Press
SP  - 1153
EP  - 1161
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-198-2_119
DO  - 10.2991/978-94-6463-198-2_119
ID  - Fan2023
ER  -