{"title":"基于R的韩国空气污染统计图研究","authors":"J. Seo, H. Lee","doi":"10.1109/CAIPT.2017.8320675","DOIUrl":null,"url":null,"abstract":"Due to the development of the IoT era, the evolution of smart devices, and the proliferation of SNS, the amount of data generated is increasing. The vast amount of data generated by this is called big data. Analysis of big data is an important key to read current social trends. By finding out social issues, companies and countries can prepare to solve problems first. Statistical software should be used to analyze big data. In this paper, we use R to provide users with statistical information on air pollution, which is currently the most problematic in Korea.","PeriodicalId":351075,"journal":{"name":"2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A study on statistical map of air pollution in Korea using R\",\"authors\":\"J. Seo, H. Lee\",\"doi\":\"10.1109/CAIPT.2017.8320675\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to the development of the IoT era, the evolution of smart devices, and the proliferation of SNS, the amount of data generated is increasing. The vast amount of data generated by this is called big data. Analysis of big data is an important key to read current social trends. By finding out social issues, companies and countries can prepare to solve problems first. Statistical software should be used to analyze big data. In this paper, we use R to provide users with statistical information on air pollution, which is currently the most problematic in Korea.\",\"PeriodicalId\":351075,\"journal\":{\"name\":\"2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAIPT.2017.8320675\",\"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 4th International Conference on Computer Applications and Information Processing Technology (CAIPT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAIPT.2017.8320675","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A study on statistical map of air pollution in Korea using R
Due to the development of the IoT era, the evolution of smart devices, and the proliferation of SNS, the amount of data generated is increasing. The vast amount of data generated by this is called big data. Analysis of big data is an important key to read current social trends. By finding out social issues, companies and countries can prepare to solve problems first. Statistical software should be used to analyze big data. In this paper, we use R to provide users with statistical information on air pollution, which is currently the most problematic in Korea.
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