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第440行：
第440行： − + − 数据可视化涉及特定的术语，其中一些来自统计学。例如，作者 Stephen Few 定义了两种类型的数据，它们结合起来用于支持有意义的分析或可视化:+ − + − + 第459行：
第459行： − 两种主要类型的信息显示是表格和图表。+ − + 第471行：
第471行： − 和 Lengler 已经开发了“可视化方法周期表” ，这是一个显示各种数据可视化方法的互动图表。它包括6种数据可视化方法: 数据法、信息法、概念法、策略法、隐喻法和复合法。+ − −
→Terminology
==Terminology==
==Terminology==
术语
Data visualization involves specific terminology, some of which is derived from statistics. For example, author Stephen Few defines two types of data, which are used in combination to support a meaningful analysis or visualization:
Data visualization involves specific terminology, some of which is derived from statistics. For example, author Stephen Few defines two types of data, which are used in combination to support a meaningful analysis or visualization:
Data visualization involves specific terminology, some of which is derived from statistics. For example, author Stephen Few defines two types of data, which are used in combination to support a meaningful analysis or visualization:
Data visualization involves specific terminology, some of which is derived from statistics. For example, author Stephen Few defines two types of data, which are used in combination to support a meaningful analysis or visualization:
数据可视化会涉及到特定的术语，其中一些术语来自于统计数据。例如，作者Stephen Few定义了两种类型的数据，用于支持有意义的分析或可视化:
*Categorical: Text labels describing the nature of the data, such as "Name" or "Age". This term also covers qualitative (non-numerical) data.
*Categorical: Text labels describing the nature of the data, such as "Name" or "Age". This term also covers qualitative (non-numerical) data.
分类：指描述数据性质的文本标签，如“姓名”或“年龄”。这个术语还包括定性(非数值)数据。
*Quantitative: Numerical measures, such as "25" to represent the age in years.
*Quantitative: Numerical measures, such as "25" to represent the age in years.
定量:用数字度量，如“25”来表示年龄。
Two primary types of information displays are tables and graphs.
Two primary types of information displays are tables and graphs.
这两种信息显示的主要类型是表格和图表。
*A ''table'' contains quantitative data organized into rows and columns with categorical labels. It is primarily used to look up specific values. In the example above, the table might have categorical column labels representing the name (a ''qualitative variable'') and age (a ''quantitative variable''), with each row of data representing one person (the sampled ''experimental unit'' or ''category subdivision'').
*A ''table'' contains quantitative data organized into rows and columns with categorical labels. It is primarily used to look up specific values. In the example above, the table might have categorical column labels representing the name (a ''qualitative variable'') and age (a ''quantitative variable''), with each row of data representing one person (the sampled ''experimental unit'' or ''category subdivision'').
*A ''graph'' is primarily used to show relationships among data and portrays values encoded as ''visual objects'' (e.g., lines, bars, or points). Numerical values are displayed within an area delineated by one or more ''axes''. These axes provide ''scales'' (quantitative and categorical) used to label and assign values to the visual objects. Many graphs are also referred to as ''charts''.<ref>{{cite web|url=http://www.perceptualedge.com/articles/ie/the_right_graph.pdf|title=Steven Few-Selecting the Right Graph for Your Message-September 2004|publisher=|access-date=2014-09-08|archive-url=https://web.archive.org/web/20141005080924/http://www.perceptualedge.com/articles/ie/the_right_graph.pdf|archive-date=2014-10-05|url-status=live}}</ref>
*A ''graph'' is primarily used to show relationships among data and portrays values encoded as ''visual objects'' (e.g., lines, bars, or points). Numerical values are displayed within an area delineated by one or more ''axes''. These axes provide ''scales'' (quantitative and categorical) used to label and assign values to the visual objects. Many graphs are also referred to as ''charts''.<ref>{{cite web|url=http://www.perceptualedge.com/articles/ie/the_right_graph.pdf|title=Steven Few-Selecting the Right Graph for Your Message-September 2004|publisher=|access-date=2014-09-08|archive-url=https://web.archive.org/web/20141005080924/http://www.perceptualedge.com/articles/ie/the_right_graph.pdf|archive-date=2014-10-05|url-status=live}}</ref>
表格主要用于查找特定的值，它包含有组织成行和列的定量数据，并带有分类标签。在上面的例子中，表格可能有代表姓名(定性变量)和年龄(定量变量)的分类列标签，每一行数据代表一个人(抽样的实验单位或分类细分)。图表主要用来显示数据之间的关系，会编为可视对象的值（例如，线、条或点)。数值会显示在由一个或多个轴所勾画的区域内。这些轴提供了用于给视觉对象标记和赋值的尺度（定量和分类）。
Eppler and Lengler have developed the "Periodic Table of Visualization Methods," an interactive chart displaying various data visualization methods. It includes six types of data visualization methods: data, information, concept, strategy, metaphor and compound.
Eppler and Lengler have developed the "Periodic Table of Visualization Methods," an interactive chart displaying various data visualization methods. It includes six types of data visualization methods: data, information, concept, strategy, metaphor and compound.
Eppler和Lengler开发了“可视化方法周期表”，这是一个显示各种数据可视化方法的交互式图表。它包括数据、信息、概念、策略、隐喻和复合六种类型的数据可视化方法。
==Examples of diagrams used for data visualization==
==Examples of diagrams used for data visualization==