In one of the previous posts, there was a general mention of pivot table options, and in the next few “recipes” we will address some of them that are important and can make our daily work easier. Filtering the pivot table is achieved by dragging report dimensions into the Filters field. How can we influence the number and layout of available filters in the pivot table?
DAX is a language that comes in several flavors. While most features are available at the same time for Excel, Power BI and SQL Server Analysis Services some of them are platform-specific. Because Power BI has the ability to generate tables and there are DAX functions that, as a result, return tables in this post we will address some of them that can only be only used in Power BI DAX statements, not in Excel.
Parameters are variables or sets of values that are intended to influence the appearance of a query. They are mostly used for filtering, but if you know the “M” language you can also use them for other purposes. Since I will not (for now) write about how “M” statements are created, I will use a simple example where a single parameter will be created and we will use it to filter a query.
Power Query has a feature called Conditional Column, and its mission is to emulate the Excel IF function. That is, by checking the conditions for the given column and the value returns the result if the condition is fulfilled and optionally the result if not. If no other parameter is specified it returns a NULL value in rows that do not meet the specified condition. Let’s see how this option is used!
Power Query has features that allow you to group and aggregate data in a similar way as when writing T-SQL structures, without writing a single line of code. Therefore, the process is much faster and easier. Grouping can be done by one or more report dimensions, and the order is determined in a similar manner as when sorting. Also, multiple data aggregation functions are supported as well as possibility of multiple aggregation…