{"title":"当自变量跨越几个数量级时,如何选择x轴值","authors":"Bin Wang","doi":"10.31031/acsr.2019.01.000517","DOIUrl":null,"url":null,"abstract":"When designing experiments, researchers often need to measure a dependent variable, such as the response of an instrument or method, with respect to an independent variable such as the concentration of a reactant. Often the independent variable spans several orders of magnitude, (e.g., when experimental concentrations range from 0.0100mM to 10.0mM), which can make it difficult to construct a clear graph of the data. In such situations, it is more appropriate to plot the independent variable on a logarithmic axis (usually the base 10 logarithmic scale) rather than a linear axis, in order to avoid superimposed data points and to make the graph easier to interpret. By convention, the independent variable is usually plotted horizontally as the x-axis or abscissa, and the dependent variable is plotted vertically as the y-axis or ordinate.","PeriodicalId":175500,"journal":{"name":"Annals of Chemical Science Research","volume":"498 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How to Select X-axis Values when the Independent Variable Spans Several Orders of Magnitude\",\"authors\":\"Bin Wang\",\"doi\":\"10.31031/acsr.2019.01.000517\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When designing experiments, researchers often need to measure a dependent variable, such as the response of an instrument or method, with respect to an independent variable such as the concentration of a reactant. Often the independent variable spans several orders of magnitude, (e.g., when experimental concentrations range from 0.0100mM to 10.0mM), which can make it difficult to construct a clear graph of the data. In such situations, it is more appropriate to plot the independent variable on a logarithmic axis (usually the base 10 logarithmic scale) rather than a linear axis, in order to avoid superimposed data points and to make the graph easier to interpret. By convention, the independent variable is usually plotted horizontally as the x-axis or abscissa, and the dependent variable is plotted vertically as the y-axis or ordinate.\",\"PeriodicalId\":175500,\"journal\":{\"name\":\"Annals of Chemical Science Research\",\"volume\":\"498 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Chemical Science Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31031/acsr.2019.01.000517\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Chemical Science Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31031/acsr.2019.01.000517","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
How to Select X-axis Values when the Independent Variable Spans Several Orders of Magnitude
When designing experiments, researchers often need to measure a dependent variable, such as the response of an instrument or method, with respect to an independent variable such as the concentration of a reactant. Often the independent variable spans several orders of magnitude, (e.g., when experimental concentrations range from 0.0100mM to 10.0mM), which can make it difficult to construct a clear graph of the data. In such situations, it is more appropriate to plot the independent variable on a logarithmic axis (usually the base 10 logarithmic scale) rather than a linear axis, in order to avoid superimposed data points and to make the graph easier to interpret. By convention, the independent variable is usually plotted horizontally as the x-axis or abscissa, and the dependent variable is plotted vertically as the y-axis or ordinate.