{"title":"重新激活散点图","authors":"David A. Rabenhorst","doi":"10.1117/12.384881","DOIUrl":null,"url":null,"abstract":"Computer-assisted interactive visualization has become a valuable tool for discovering the underlying meaning of tabular data, including categorical tabular data. The capabilities of the more traditionally mundane kinds of pictures like scatter plots can be expanded to usefully depict categorical tabular data by incorporating annotations and transforms, and by integrating the extensions into an interactive system.","PeriodicalId":354140,"journal":{"name":"Applied Imaging Pattern Recognition","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Revitalizing the scatter plot\",\"authors\":\"David A. Rabenhorst\",\"doi\":\"10.1117/12.384881\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Computer-assisted interactive visualization has become a valuable tool for discovering the underlying meaning of tabular data, including categorical tabular data. The capabilities of the more traditionally mundane kinds of pictures like scatter plots can be expanded to usefully depict categorical tabular data by incorporating annotations and transforms, and by integrating the extensions into an interactive system.\",\"PeriodicalId\":354140,\"journal\":{\"name\":\"Applied Imaging Pattern Recognition\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Imaging Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.384881\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Imaging Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.384881","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computer-assisted interactive visualization has become a valuable tool for discovering the underlying meaning of tabular data, including categorical tabular data. The capabilities of the more traditionally mundane kinds of pictures like scatter plots can be expanded to usefully depict categorical tabular data by incorporating annotations and transforms, and by integrating the extensions into an interactive system.
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