This tutorial and sample workbook demonstrate how to enhance Excel tables and improve data usability within 5 minutes. Users learn to convert AI-created CSV files into tables, name tables for easier reference, format columns, insert slicers, and create dynamic filtered graphs. The tutorial includes a sample workbook on GitHub for reference.

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Managing data visualization, analytics, and AI projects requires a unique approach. Success hinges on clearly defining project goals, ensuring data quality, and adopting an iterative, agile process. A customized strategy is essential for data collection to security, governance, and visualization.

Whether selecting the appropriate Power BI subscription for individuals or businesses, this guide analyzes the Power BI Free, Pro, and Premium plans. We'll explore the key differences and share some tips on signing up for Power BI if you need a work email address.

How do I make it easy for the end user to move the source Excel File around while making it easy to update the source location in PowerBI? Query Parameters solved that issue making the solution a lot easier to maintain.

This article offers valuable insights into the difference between data wrangling and data engineering in data analytics with Power BI, emphasizing the collaborative nature of the process. It is recommended for those seeking to improve their knowledge of data analytics using Power BI.

Data preparation is crucial in data analysis and machine learning projects. This article will explore basic concepts and extensive details on the various aspects of data preparation.

There are many tools that you can purchase to generate documentation, however, also costs money or requires an install on client machines or servers. I wanted something fast which would not leave a foot print or require weeks of negotiations to get installed. The T-SQL script generates an HTML document out of the schema results that you can paste into Word to kickstart the documentation process.