Recently Leila and I published a series of two books under the name of The Definitive Guide to Power Query in Power BI and Excel. Both books are now available in ebook and paperback format on Amazon and Google Play Books. In this blog, I’ll explain some details about the book, the agenda, and who Read more about Book Overview: The Definitive Guide to Power Query in Power BI and Excel[…]
I have written a blog article and explained how Power Query parameters can be used to change the data source in Power BI. Another useful scenario of it is actually to change even the data source itself. For example, you may have two data sources with exactly the same data structure (columns), but different data. Read more about Change the Data Source TYPE of the Power BI Dynamically using Power Query Parameters[…]
If you have a table and want to create a report of column value distribution of it in Power BI, This function helps you achieve it. I have explained previously in another blog and video, how to do this process step by step. In this article, I’ll share the code for a custom function that Read more about Power Query Function: Column Value Distribution in Power BI[…]
I have written about profiling data and the importance of it in Power Query, I also explained how the profiling data can be prepared to create a report in Power BI for the user to understand the data better. And I explained how the error count of that can be added to the report. Another Read more about Creating Column Values Distribution Report in Power BI Using Power Query[…]
Does Power Query requires training or reading a book, or even reading an article? I get this question a lot from those who started Power BI not long ago. Many users think that Power Query is just the get data from the source, and that’s it. Considering the many data source connectors in the Power Read more about Why data preparation and transformation? Why Power Query?[…]
I have written two articles about fuzzy operations in Power BI and Power Query so far; fuzzy matching in Power BI, and fuzzy grouping. the methods above involve transforming the data with a fuzzy operation. However, sometimes you just want to know the similarity of values, or let’s say in other words; find the clusters. Read more about Fuzzy Clustering in Power BI using Power Query: Finding similar values[…]
An essential step towards a better analytics solution is to know your data. You have to know your data to be able to determine key columns, to learn what transformations need to be done, and etc. Power Query provides a very useful way of knowing your data in Power BI. Power BI has features for Read more about Know Your Data Better by Column Profiling In Power BI using Power Query[…]
I have explained previously what fuzzy matching in Power BI is and how to use it. In this article and video, I’ll explain Fuzzy grouping. Fuzzy grouping in short means grouping text values by their similarity based on a threshold, rather than exact equal values. This option at the moment is available in Power Query Read more about Fuzzy Grouping in Power BI using Power Query[…]
Age banding is a common scenario in analytics, and I have explained how it is possible in many different ways. One of the methods I have explained was using DAX measures and the TREATAS function. Sometimes, however, the age banding can be static, and Power Query can be used for the calculation, which would make Read more about Age Banding in Power BI using Power Query – Merge Queries Based on Between[…]
When applying text transformations in Power BI using Power Query; two very important transformations that can help are; Trim and Clean. These two mistakenly often considered to do one thing, but they are different. In this short article and video, I’ll explain their differences through an example. Video Sample text Let’s assume I have a Read more about Trim Vs. Clean in Power BI and Power Query[…]