{"title":"通过R和Azure进行数据可视化，用于缩放机器训练集","authors":"R. Pandey, Nidhi Srivastava, Komal Verma","doi":"10.1109/CSNT.2017.8418564","DOIUrl":null,"url":null,"abstract":"Data Visualization involves the creation and study of the visual representation of data. This paper involves the integration of R Studio with Microsoft Azure. It will be used to analyze the \"Adult Dataset (adult.csv)\", which consists of various attributes based on which graphs will be made for visual representation of dataset. Several inferences have been drawn from the analysis and graphical representation of the dataset.","PeriodicalId":382417,"journal":{"name":"2017 7th International Conference on Communication Systems and Network Technologies (CSNT)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Data visualization through R and Azure for scaling machine training sets\",\"authors\":\"R. Pandey, Nidhi Srivastava, Komal Verma\",\"doi\":\"10.1109/CSNT.2017.8418564\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data Visualization involves the creation and study of the visual representation of data. This paper involves the integration of R Studio with Microsoft Azure. It will be used to analyze the \\\"Adult Dataset (adult.csv)\\\", which consists of various attributes based on which graphs will be made for visual representation of dataset. Several inferences have been drawn from the analysis and graphical representation of the dataset.\",\"PeriodicalId\":382417,\"journal\":{\"name\":\"2017 7th International Conference on Communication Systems and Network Technologies (CSNT)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 7th International Conference on Communication Systems and Network Technologies (CSNT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSNT.2017.8418564\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 7th International Conference on Communication Systems and Network Technologies (CSNT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSNT.2017.8418564","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data visualization through R and Azure for scaling machine training sets
Data Visualization involves the creation and study of the visual representation of data. This paper involves the integration of R Studio with Microsoft Azure. It will be used to analyze the "Adult Dataset (adult.csv)", which consists of various attributes based on which graphs will be made for visual representation of dataset. Several inferences have been drawn from the analysis and graphical representation of the dataset.
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