JMP is an extremely powerful analytical tool with a user-friendly GUI that can be easily used by anyone with about an hour of guidance and knowledge equivalent to that of a high school student, regardless of their field of study—whether social sciences, engineering, or natural sciences.
In this lecture, using examples such as the analysis of a commercial survey commissioned by Takasago City through the Takasago Chamber of Commerce and Industry last year, I would like to introduce the practical aspects of analyzing questionnaire surveys (so-called survey questionnaires) collected by companies and local governments, and the importance of using multiple correspondence analysis, implemented in JMP, as an analytical method for multi-stage evaluations such as satisfaction and importance obtained in questionnaire surveys. I will also explain how to proceed with the analysis and how to interpret the results, using actual data that is publicly available as open data.
