In this tutorial, we’ll discuss essential transformations within Power BI Query Editor that can be used to optimize your rows and columns. In developing an intuitive Power BI model, it’s best to simplify your rows and columns inside your table. Optimizing your table is essential in creating visualizations, so you can easily recognize your data.
When working on Power BI date tables, it’s important to know the essential techniques so you can set things up as quickly as possible. In this tutorial, I’ll go over some important tips that can help you. The date tables are important in Power BI because you’ll need them to reference dates inside your model.
This tutorial will help you understand more about the M code found inside the Advanced Editor. Some people prefer to call it “M formula language” or “M function.” You can use it to filter and combine your data from multiple data sources. How To Access Power BI’s M Language To access the M code, select
I want to go over some of the best practices in optimizing your rows and columns inside the Query Editor. You can optimize your table so that when you create visualizations, you’ll be able to recognize your columns easily. One of the best ways to develop the most intuitive Power BI model is to simplify
When you transform your data inside the Query Editor, there are important practices that you need to implement to get the best experience. These are simple tips that can have a big impact on your reports and visualizations. It includes the things that people often take for granted but are essential in getting high-quality analysis
