基于大数据统计的电商家具市场分析

E-Commerce Furniture Market Analysis Based on Big Data Statistics

随着互联网的发展,家具网购渗透率不断提升,电商家具市场逐步扩大。以淘宝平台的住宅家具为研究对象,利用数据采集技术获取大量原始数据,运用SPSS与NLPIR等大数据处理工具对海量数据进行处理获取有效数据,并对处理后的数据进行可视化显示来探析电商家具市场现状。大数据统计在数据分析、选择优化、趋势预测等方面具有极大的优势,可以提高企业经济效益,促进行业良性发展。

With the development of the Internet,the penetration rate of online furniture shopping is increasing,and the e-commerce furniture market is gradually expanding.Taking residential furniture on Taobao platform as the research object,using data collection technology to obtain a large amount of raw data,using SPSS and NLPIR and other big data processing tools to process the massive data to obtain effective data,and visually display the processed data to explore the current situation of the e-commerce furniture market,analyze the impact of COVID-19 on it,and grasp future development trends.Big data statistics has great advantages in data analysis,selection optimization and trend prediction,which can improve the economic benefits of enterprises and promote the sound development of the industry.