此文章以使用 Power BI Desktop 的資料模型製作人員為目標。 其描述三種不同的多對多模型化案例。 此外,也為您提供如何在模型中成功進行設計的相關指導。 備註 本文並未涵蓋模型關聯性簡介。 如果您對關聯性、其屬性或如何進行設定不是很熟悉,建議您先閱讀 Power BI Desktop 中的模型關聯性一文。 您也必須了解星...
本文面向使用 Power BI Desktop 的数据建模者。 它将介绍三种不同的多对多建模场景。 还将指导你如何在模型中成功设计这些场景。 备注 本文不涵盖对模型关系的介绍。 如果你对模型关系、其属性或配置方法并非完全熟悉,建议先阅读 Power BI Desktop 中的模型关系一文。 此外,还应了解星型架构设计,这一点也很重要...
在Power BI 中,有兩種方式可以編輯關聯性。第一種編輯關聯性的方法是使用 [模型檢視] 中的[在屬性中編輯關聯性] 窗格,您可以在其中選取兩個資料表之間的任何一行,在 [屬性] 窗格中查看關聯性選項。 請務必展開 [屬性] 窗格,以查看關聯性選項。您也可以在 [屬性] 窗格中觀看編輯關聯性的影片示範。編輯...
Unfortunately, I discovered that overwriting "natural" blanks in the measure might have a side effects on the data displayed in the table visual:filtering using slicer is not working properly- when I select specific product category like "Office", I get the cartesian product of this category and...
Create and manage relationships Create measures Create & share Create reports and dashboards documentation Collaborate, share, and integrate across products documentation Get Power BI samples Use report themes Add conditional table formatting Ways to share your work Organize work in the new...
While Power BI determines the required refresh steps for a given semantic model automatically, you should know how they contribute to the complexity and duration of a refresh operation. For a quick reference, refer to the following table.
我们来快速演示一下,以更好地向你展示关系如何在 Power BI Desktop 进行操作。 提示 你可自行完成此课程: 将以下“ProjectHours”表复制到 Excel 工作表中(标题除外),选择所有单元格,然后选择“插入”>“表”。 在“创建表”对话框中,选择“确定” 。
4. You have a Power BI query named Sales that imports the columns shown in the following table. Users only use the date part of the Sales_Date field. Only rows with a Status of Finished are used in analysis. You need to reduce the load times of the query without affecting the analysis...
Understanding Power BI’s table merging capabilities Step-by-step guide to merging tables in Power BI How to combine data from different sources in Power BI Creating relationships between tables for better data analysis Techniques for filtering merged tables in Power BI ...
The table and matrix data regions can display complex data relationships by including nested tables, matrices, lists, charts, and gauges. Tables and matrices have a tabular layout, and their data comes from a single dataset, built on a single data source. The key difference between tables and...