{"title":"基于R的时间序列数据可视化研究","authors":"Eunmi Jung, A. Kim, Hyenki Kim","doi":"10.14257/ijdta.2017.10.8.01","DOIUrl":null,"url":null,"abstract":"With the recent increase in data volume, there is a growing interest in Big Data technology and there is also a growing interest in techniques to visualize result of big data processing. The vast majority of people accept visual information more quickly than text. Therefore, visualization is the important thing to focus on regarding big data analysis. Therefore, the study examined various visualization methods using an open source statistical analysis software R program. The study explored a method to configure data sets and a method to implement various graphs according to visualization method using R to determine patterns in data and understand the characteristics of data at a glance through visualization of data. Through this, it was possible to determine characteristics of data that were not known only through simple regression analysis and through showing that rather than interpreting data as it is, it could be visualized in various methods through conversion of data sets, it is expected that it will help users to make various decisions.","PeriodicalId":13926,"journal":{"name":"International journal of database theory and application","volume":"79 1","pages":"1-10"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Study on the Visualizing Time Series Data Using R\",\"authors\":\"Eunmi Jung, A. Kim, Hyenki Kim\",\"doi\":\"10.14257/ijdta.2017.10.8.01\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the recent increase in data volume, there is a growing interest in Big Data technology and there is also a growing interest in techniques to visualize result of big data processing. The vast majority of people accept visual information more quickly than text. Therefore, visualization is the important thing to focus on regarding big data analysis. Therefore, the study examined various visualization methods using an open source statistical analysis software R program. The study explored a method to configure data sets and a method to implement various graphs according to visualization method using R to determine patterns in data and understand the characteristics of data at a glance through visualization of data. Through this, it was possible to determine characteristics of data that were not known only through simple regression analysis and through showing that rather than interpreting data as it is, it could be visualized in various methods through conversion of data sets, it is expected that it will help users to make various decisions.\",\"PeriodicalId\":13926,\"journal\":{\"name\":\"International journal of database theory and application\",\"volume\":\"79 1\",\"pages\":\"1-10\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of database theory and application\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14257/ijdta.2017.10.8.01\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of database theory and application","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14257/ijdta.2017.10.8.01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Study on the Visualizing Time Series Data Using R
With the recent increase in data volume, there is a growing interest in Big Data technology and there is also a growing interest in techniques to visualize result of big data processing. The vast majority of people accept visual information more quickly than text. Therefore, visualization is the important thing to focus on regarding big data analysis. Therefore, the study examined various visualization methods using an open source statistical analysis software R program. The study explored a method to configure data sets and a method to implement various graphs according to visualization method using R to determine patterns in data and understand the characteristics of data at a glance through visualization of data. Through this, it was possible to determine characteristics of data that were not known only through simple regression analysis and through showing that rather than interpreting data as it is, it could be visualized in various methods through conversion of data sets, it is expected that it will help users to make various decisions.