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.
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.
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.
Does it happen to you that you are not quite content how Power BI manages things for you on a dashboard and you want to correct them but cannot find the right settings because they just haven’t been invented yet?
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.
I am going to simplify your data visualization in Power BI by showing you an elegant alternative to pie charts – the Enhanced Bar Chart. If you're tired of pie charts complicating your data story, go ahead and read.
With the quick measure option, we can now provide input using keywords in English(using natural language) and Power BI will create measures for us. This feature will reduce writing DAX measures from scratch.
Financial data integration in Power BI becomes more complex when dealing with global currencies. While handling single-currency data is straightforward, navigating the complexities of multiple currencies requires a different approach. In this blog, we explore a systematic method for seamless multicurrency display, empowering end users to effortlessly toggle between currencies directly from the dashboard.
Unlock the power of the GENERATE function in data tables to effortlessly merge, filter, and highlight top-selling products within various categories! This step-by-step guide illuminates the process, taking you from basic table merging to masterfully selecting and displaying the best-performing products in each category using a combination of GENERATE, TOPN, RELATEDTABLE, ADDCOLUMNS, and other pivotal functions. Dive in to transform your data handling and reporting!
You'll learn how to transform a basic clustered bar chart, introduce error bars, and then morph it into an engaging dot plot chart. The video is perfect for anyone interested in data analytics, business intelligence, or simply telling a story through their data.