Questionnaire Design, Survey and Analysis of Online Shopping Status for Vocational Students Based on Big Data Technology

This study uses Python Web Spider technology technology while interviewing vocational students to design a questionnaire on online shopping status of vocational students based on 4P marketing theory, which is divided into two parts. Among them, there are five single-choice questions in the part of basic consumption status and four single-choice questions and three multiple-choice questions in the part of online shopping status, which are further divided into three influencing factors, namely, online shopping activity, online shopping service satisfaction and online shopping choice tendency. The questionnaire was randomly distributed using the Questionnaire Star app and quality monitored using big data techniques, and 156 survey results were recovered. This paper conducts a big data-driven analysis of data results, and discusses and summarizes three aspects, namely, the development of related work in higher vocational colleges, related phenomena requiring social attention, and suggestions for the development of merchants on online shopping platforms.