Paper
2 February 2023 Visual analysis of mask sales data based on crawler
Yuan Sun, Chuanyan Ma, Xiaoming Mu
Author Affiliations +
Proceedings Volume 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022); 124622A (2023) https://doi.org/10.1117/12.2661115
Event: International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 2022, Xi'an, China
Abstract
The outbreak of COVID-19 makes people feel distant from each other, and masks have become one of the indispensable articles in people's daily life. At present, there are many brands of masks with various types and uneven quality. In order to understand the current market of masks and the sales of different brands, users can choose masks with perfect quality. This paper uses Python web crawler technology, based on the input of the word "mask", crawl JD website sales data, through data visualization technology drawing histogram, pie chart, the word cloud, etc., for goods compared with the relationship between price, average price of all brands, brands, average distribution of analysis and evaluation of user information, In this way, the sales situation, price distribution and quality evaluation of each store of the product can be visually displayed. At the same time, it also provides some reference for other users who need to buy the product.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuan Sun, Chuanyan Ma, and Xiaoming Mu "Visual analysis of mask sales data based on crawler", Proc. SPIE 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 124622A (2 February 2023); https://doi.org/10.1117/12.2661115
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KEYWORDS
Databases

Data storage

Visual analytics

Data processing

Data visualization

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