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On this website, you will find best practices and learning of Power BI. Here you can find the solutions to problems you may face during the generation of power BI reports related to power query, dashboard designing, dax-related problems, and many more. 
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Unlocking the Power of Data Transformation with Power Query

In today's data-driven world, businesses and individuals rely heavily on data analysis to make informed decisions. However, the journey from raw data to valuable insights often involves a significant amount of data transformation and cleaning. This is where Microsoft's Power Query comes into play, revolutionizing the way we work with data in tools like Excel and Power BI. What is Power Query? Power Query is a versatile data transformation and data preparation tool that seamlessly integrates with Microsoft Excel and Power BI. It allows users to connect to a variety of data sources, transform and shape the data, and load it into their analysis tools. Whether you're dealing with spreadsheets, databases, web services, or text files, Power Query makes the process of extracting, transforming, and loading (ETL) data more efficient and user-friendly. Key Features and Benefits Here are some of the key features and benefits that make Power Query a game-changer for data professionals...

How to Create a Date Table in Power BI Using Dax

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How to do Rows calculation & Data cleaning Using Power Query in Power BI Tool | Power Query Explained

  Power Query is a data transformation and data preparation tool that is part of Microsoft Excel and Power BI (Business Intelligence) applications. It allows users to connect to various data sources, transform and shape the data, and load it into Excel, Power BI, or other data analysis tools for further analysis and reporting. In this post, we are going to look at how can we do row calculations in the Power Query. I took a simple Excel sheet to showcase this First of all, we upload an Excel file to Power bi then we start cleaning of data. After uploading the Excel file we will clean the data and remove unnecessary rows and columns. To do that we click on the arrow beside the remove rows icon from the home ribbon and there we select the option of removing top rows then a dialog box opens where we enter 2 to remove the top 2 rows.                                             ...