阅读说明：本技术 使用异构数据的对象模型来便于建立数据可视化 (Using object models of heterogeneous data to facilitate building data visualizations ) 是由 贾斯汀·塔尔博特 罗杰·哈乌 丹尼尔·科里 吴芝英 特里萨·罗伯茨 于 2018-08-01 设计创作，主要内容包括：过程接收指定数据源、视觉变量、和来自数据源的数据字段的视觉规范。每个视觉变量与一个或更多个数据字段相关联,并且每个数据字段是维度或度量。对于每个度量m,该过程识别由根据在数据源的对象模型中的多对一关系的序列从度量可达的维度组成的集合R(m)。对于每个不同的集合R,该过程形成数据字段集合S,数据字段集合S由在R中的每个维度和满足R(m)＝R的每个度量m组成。对于每个集合S以及对于在集合S中的每个度量m,该过程根据在S中的维度来聚合度量的值。该过程根据在集合S中的数据字段和它们所关联到的视觉变量来建立数据可视化。(The process receives a visual specification specifying a data source, visual variables, and data fields from the data source. Each visual variable is associated with one or more data fields, and each data field is a dimension or metric. For each metric m, the process identifies a set r (m) consisting of dimensions reachable from the metric according to a sequence of many-to-one relationships in the object model of the data source. For each different set R, the process forms a set S of data fields consisting of each dimension in R and each metric m that satisfies R (m) ═ R. For each set S and for each metric m in set S, the process aggregates the values of the metrics according to the dimensions in S. The process builds a data visualization from the data fields in the set S and the visual variables to which they are associated.)