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...
The DAX Power BI COUNT function can count cells with repeated values. It can also count dates since Power BI considers dates as a number. The DAX COUNT Power BI function does not count the number of boolean function data such as True or False that appeared in the given table. Instead, y...
You can use Power BI's B2B capabilities across Microsoft Azure clouds by configuring Microsoft cloud settings for B2B collaboration. Read Microsoft cloud settings to learn how to establish mutual B2B collaboration between the following clouds:
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 ...