A survey on emotional visualization and visual analysis

Wang, Jiaqi; Gui, Tianyi; Cheng, Mingzhi; Wu, Xuan; Ruan, Ruolin; Du, Meng

doi:10.1007/s12650-022-00872-5

Cited by 5 publications

(1 citation statement)

References 66 publications

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“…Vision transmits the specific shape of things to the brain, and the brain conducts in-depth analysis [13]. Data visualization is a science of technology research, its direction is the visual representation of data, a science and technology that assists users in analyzing and reasoning complex data through an interactive visual interface [14]. The basic process of data visualization is divided into the following steps: (1) Obtaining or collecting raw monitoring data; (2) Clearing useless data and outliers, and filling empty values; (3) Processing data by means of data mining, data integration, etc.…”

Section: Data Visualization Technology 221 Data Visualization Technologymentioning

confidence: 99%

Design of a Web Crawler for Water Quality Monitoring Data and Data Visualization

Zhang¹,

Zhang²,

Tan³

et al. 2022

Journal on Big Data

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How to efficiently collect and analyze water quality monitoring data is an important aspect of water resources protection. In this paper, python programming tools and regular expressions were used to design a web crawler for the acquisition of water quality monitoring data from Global Freshwater Quality Database (GEMStat) sites, and the multi-thread parallelism was added to improve the efficiency in the process of downloading and parsing. In order to analyze and process the crawled water quality data, Pandas and Pyecharts are used to visualize the water quality data to show the intrinsic correlation and spatiotemporal relationship of the data.

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Section: Data Visualization Technology 221 Data Visualization Technologymentioning

confidence: 99%