{"title":"The visualization of relationship of age and gender to multiple choice questions","authors":"Sanetoshi Yamada, Yoshiro Yamamoto","doi":"10.1109/ICTKE.2014.7001526","DOIUrl":null,"url":null,"abstract":"The information that customer data usually provides is the personal surface information including the sex, age and hometown. But, we can obtain personal internal information by analyzing questionnaire data. This paper, we propose the visualization that combined association analysis with correspondence analysis, it can find about difference of internal characteristic of six layers.","PeriodicalId":120743,"journal":{"name":"2014 Twelfth International Conference on ICT and Knowledge Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Twelfth International Conference on ICT and Knowledge Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTKE.2014.7001526","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The information that customer data usually provides is the personal surface information including the sex, age and hometown. But, we can obtain personal internal information by analyzing questionnaire data. This paper, we propose the visualization that combined association analysis with correspondence analysis, it can find about difference of internal characteristic of six layers.
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