KEYWORDS: Data visualization, Displays, Data analysis, Visualization, Visual analytics, Information fusion, Education and training, Radar, Large screens, Design and modelling
Aiming at the management problems in the construction plan of high-level higher vocational schools and majors with Chinese characteristics, we have designed and developed a monitoring platform for professional group development. The platform includes several main modules: the school big screen visual data analysis module, the professional big screen visual data analysis module, the data management module, and the account management module. By utilizing the API provided by the back-end server to acquire relevant data, and integrating the use of ECharts, Vue, Element UI, Axios, and other front-end libraries and plug-ins, we successfully developed each module in the monitoring platform for professional group development. Through the implementation and utilization of the project, the platform demonstrates characteristics of simplicity, universality, practicality, and effective operation. However, it is important to provide further explanation and background information, ensuring the readers' full understanding of the design and development of the monitoring platform. Additionally, clearer explanations of the functionalities and roles of each module in the platform can be provided to improve coherence and logic in the article.
KEYWORDS: Data visualization, Data analysis, Visualization, Human-machine interfaces, Data conversion, Data processing, Visual analytics, Statistical analysis, Knowledge management, Data transmission
This paper develops a data visualization and analysis system for used cars data in response to the requirement that used cars information is complex and buyers need to obtain objective and comprehensive used cars information in a short period of time. Selenium+XPath crawler was used to crawl the used cars data in 58.com, and then import the data. The dirty data was cleaned using the Pandas data analysis toolkit in Python. The data is then stored as the corresponding CSV file and converted into JSON file. Finally, ECharts is used to read JSON files for data visualization and HTML for web display.
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