Data Visualization of University Laboratory Digital Asset Management System
| Autor: | Fan Wang, Sanxing Cao, Lingjun Yang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Information retrieval
business.industry Computer science 05 social sciences 020207 software engineering 02 engineering and technology Python (programming language) Digital asset management Laboratory results computer.software_genre Data mapping Data visualization Scripting language Digital asset 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences Tag cloud business computer 050107 human factors computer.programming_language |
| Zdroj: | 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). |
| DOI: | 10.1109/iaeac47372.2019.8997549 |
| Popis: | At present, data visualization has become a supporting technology for analyzing data in various fields. This paper mainly visualizes the digital assets retained in the laboratory, mainly on the papers, awards, and team profiles. Etc. In this paper, ECharts is used as the main tool for mapping data to charts. Python scripts crawl the paper keywords to generate word clouds, and finally display the laboratory results with H5. A deeper understanding of the lab is achieved by visualizing the digital asset system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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