How to dynamically select the default values we need in a slicer in Power BI

Scenario: 

In Power Query, when we encounter intricate data structures and the native functions in M script are insufficient, we can resort to other languages for implementation. Given that Web.Page is compatible with HTML, I will utilize JavaScript for the execution of regular expressions, which is a more straightforward approach compared to using M script. 

Create a filter that allows users to select the number of failed attributes.

There are certain processes that are necessary according to various circumstances. Among them, a classic situation often arises where a report has been published for a long time in a workspace where it should never have been, or simply the organization's structure has changed and it should not be there anymore.

For these and many other reasons, this article will show us an interesting method from the Python library to use the Power BI Rest API that will help us move a .pbix from one workspace to another.

Is it possible to refresh Power BI Semantic Model via Microsoft Fabric Data Pipelines as there is no out of the box connector for Power BI.

Streamline Power BI development with Tabular Editor Macros—a time-saving solution for automating Dates Table creation. Enhance efficiency and ensure consistency in your projects effortlessly.

Delve into the nuances of data analysis with our latest articles. Discover practical insights on using functions like ALL, ALLNOBLANKROW, DISTINCT, and VALUES in your data sets. Learn how to create effective summaries, understand the intricacies of table-based data models, and enhance your dashboard displays. Perfect for professionals seeking straightforward, efficient data management strategies.

Sharing queries in these forums can be a pain. One simple and common way to do it is as I answered in this post:
How to create json table for easier sharing pbix file

There are some drawbacks to this method though, so I've created a Power Query function that takes the output of an existing query  (or table) and rewrites it as self-contained M code that's human readable.

Greetings Power BI enthusiasts!

Are you ready to revolutionize the way you interact with your data? Say hello to Natural Language Query (NLQ) – your new best friend in the world of Power BI. In this blog post, we'll explore how NLQ can transform your data analysis experience and empower you to derive meaningful insights effortlessly.

Facing challenges comparing revenue for outlets opened at different times in Power BI? Aligning those launch dates to a single point or day zero can be a common hurdle.

Power BI is a robust tool that offers an array of reporting possibilities. It helps enterprises streamline their data modeling and visualizations. However, the sheer complexity of the tool can be quite overwhelming, and the platform is only as good as its users.  

The article delves into the functionality of the CALCULATE filter in DAX, focusing on how it can be utilized to override existing filters for precise data computation in a sales table scenario. It guides through a process of calculating Profit and Profit percentages, facing issues when external filters are applied. It explores solutions by employing DAX functions like ALL, ALLEXCEPT, and ALLSELECTED to manipulate filter context, ensuring accurate calculations while accommodating external filters.

Getting data from APIs and websites is becoming more frequent every day since more and more sites and applications provide the possibility to connect within the platforms.

It's true that reading and interpreting them is not always everything. Good development in programming languages typically uses Try Catch to capture and interpret errors that may arise from requests we make to a web source.

This article will show us how to capture these errors in order to act in different ways.

Dive into the intricacies of calculating cumulative totals with precision, exploring the boundaries set by date functions in your data analysis tools. From understanding the DATES series for generating date columns to leveraging the TOTAL series for simplified coding, we unravel the steps to accurate, efficient calculations and visualizations. Enhance your approach by fixing common glitches and optimizing code for cumulative sales computations within specific periods.

There are various themes in Power BI else we can add a custom theme by importing JSON file in Power BI desktop. Using ChatGPT, we just need to give our input on ChatGPT (like what should be the font size, which colours to be used etc.) and ChatGPT builds the json code for us which we can import in Power BI.