Geoffrey M. Draper, Matthew G. Styles, R. Riesenfeld
{"title":"用于比较数据分析的径向可视化","authors":"Geoffrey M. Draper, Matthew G. Styles, R. Riesenfeld","doi":"10.1117/12.912450","DOIUrl":null,"url":null,"abstract":"SQiRL is a novel visualization system for querying and visualizing large multivariate data sets. Although initially \ndesigned for novice users, recent extensions to SQiRL facilitate more advanced analysis without sacrificing the \nsimplicity that makes this visualization appealing to beginners. The default view provides a simple-to-learn \ninterface for query evaluation. Intermediate users are provided a straightforward method for comparing the \nresults of two queries. More advanced users can make use of a \"radial crosstab,\" a new interactive visualization \ntechnique that melds the expressive power of traditional crosstabulation with a drag-and-drop canvas.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"15 1","pages":"82940Y"},"PeriodicalIF":0.0000,"publicationDate":"2012-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Radial visualizations for comparative data analysis\",\"authors\":\"Geoffrey M. Draper, Matthew G. Styles, R. Riesenfeld\",\"doi\":\"10.1117/12.912450\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"SQiRL is a novel visualization system for querying and visualizing large multivariate data sets. Although initially \\ndesigned for novice users, recent extensions to SQiRL facilitate more advanced analysis without sacrificing the \\nsimplicity that makes this visualization appealing to beginners. The default view provides a simple-to-learn \\ninterface for query evaluation. Intermediate users are provided a straightforward method for comparing the \\nresults of two queries. More advanced users can make use of a \\\"radial crosstab,\\\" a new interactive visualization \\ntechnique that melds the expressive power of traditional crosstabulation with a drag-and-drop canvas.\",\"PeriodicalId\":89305,\"journal\":{\"name\":\"Visualization and data analysis\",\"volume\":\"15 1\",\"pages\":\"82940Y\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Visualization and data analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.912450\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Visualization and data analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.912450","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Radial visualizations for comparative data analysis
SQiRL is a novel visualization system for querying and visualizing large multivariate data sets. Although initially
designed for novice users, recent extensions to SQiRL facilitate more advanced analysis without sacrificing the
simplicity that makes this visualization appealing to beginners. The default view provides a simple-to-learn
interface for query evaluation. Intermediate users are provided a straightforward method for comparing the
results of two queries. More advanced users can make use of a "radial crosstab," a new interactive visualization
technique that melds the expressive power of traditional crosstabulation with a drag-and-drop canvas.