APPLIES TO: Power BI Desktop Power BI serviceThis tutorial is an introduction to some of the features of the Power BI service. In this tutorial, you connect to data, create a report and a dashboard, and ask questions about your data. The exercises show you how to work with data on a...
Power BI uses dates in visualizations extensively. Power BI automatically recognizes data columns and creates hierarchies by week, month, and year. You can use these hierarchies as standard. However, the solution architect should consider the creation of a date, calendar, or table, and then link ...
CALCULATE是学习DAX(也就是学习PowerPivot,PowerBI,Excel数据建模)中最复杂最灵活最强大的函数,没有之...
Since Power BI is directly connected to the PubNub data stream, there's little latency between pushing the data into the Power BI service and updating the visual.Streaming semantic model matrixThe following table describes the three types of semantic models for real-time streaming and lists their...
Each DAX function has a specific or unique formula based on the aggregate operations that users are about to perform in Power BI. The formulas in DAX are very similar to formulas in Excel. For performing a specific function in DAX, you just need to type an equal sign, followed by a func...
Choose between classic Power BI-like color themes, IBCS standards or custom themes matching your corporate branding. See Inforiver Charts demos here. accoPLANNING by Accobat Enable writeback for any Power BI model. Use Power BI for planning and forecast. With this visual you can now writeback...
This Power BI tutorial is a step-by-step guide for learning Power BI from the basics. Learn Power BI concepts like data visualization and creating reports.
Guide to Power BI RELATED. Here we discuss how to use RELATED function in power bi to return related value of one table to another table with an example.
In DAX functions in the Power BI blog, learn about Data Analysis Expressions (DAX) which create dynamic calculations, build sophisticated measures, and generate insightful reports.
A functional dependency manifests itself as a one-to-many relationship between the values in two (or more) columns within a DataFrame. These relationships can be used to automatically detect data quality problems.Run SemPy's find_dependencies function on the merged DataFrame to identify any ...