{"title":"通过统计图表进行交流","authors":"D. Nolan, S. Stoudt","doi":"10.1093/oso/9780198862741.003.0004","DOIUrl":null,"url":null,"abstract":"This chapter addresses how to create statistical graphs that are effective in communicating findings. This includes how to select an appropriate type of plot to reveal underlying structure in the data, facilitate important comparisons, and create a context for interpreting the distributions and relationships observed. The chapter also covers how to read common univariate and bivariate plots, pay attention to the details in making and interpreting plots, and create plots that help make a convincing argument.","PeriodicalId":335197,"journal":{"name":"Communicating with Data","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Communicating Through Statistical Graphs\",\"authors\":\"D. Nolan, S. Stoudt\",\"doi\":\"10.1093/oso/9780198862741.003.0004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This chapter addresses how to create statistical graphs that are effective in communicating findings. This includes how to select an appropriate type of plot to reveal underlying structure in the data, facilitate important comparisons, and create a context for interpreting the distributions and relationships observed. The chapter also covers how to read common univariate and bivariate plots, pay attention to the details in making and interpreting plots, and create plots that help make a convincing argument.\",\"PeriodicalId\":335197,\"journal\":{\"name\":\"Communicating with Data\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communicating with Data\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/oso/9780198862741.003.0004\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communicating with Data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/oso/9780198862741.003.0004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This chapter addresses how to create statistical graphs that are effective in communicating findings. This includes how to select an appropriate type of plot to reveal underlying structure in the data, facilitate important comparisons, and create a context for interpreting the distributions and relationships observed. The chapter also covers how to read common univariate and bivariate plots, pay attention to the details in making and interpreting plots, and create plots that help make a convincing argument.