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Data Cleaning with Power BI

Data Cleaning with Power BI

By : Frazer
5 (7)
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Data Cleaning with Power BI

Data Cleaning with Power BI

5 (7)
By: Frazer

Overview of this book

Microsoft Power BI offers a range of powerful data cleaning and preparation options through tools such as DAX, Power Query, and the M language. However, despite its user-friendly interface, mastering it can be challenging. Whether you're a seasoned analyst or a novice exploring the potential of Power BI, this comprehensive guide equips you with techniques to transform raw data into a reliable foundation for insightful analysis and visualization. This book serves as a comprehensive guide to data cleaning, starting with data quality, common data challenges, and best practices for handling data. You’ll learn how to import and clean data with Query Editor and transform data using the M query language. As you advance, you’ll explore Power BI’s data modeling capabilities for efficient cleaning and establishing relationships. Later chapters cover best practices for using Power Automate for data cleaning and task automation. Finally, you’ll discover how OpenAI and ChatGPT can make data cleaning in Power BI easier. By the end of the book, you will have a comprehensive understanding of data cleaning concepts, techniques, and how to use Power BI and its tools for effective data preparation.
Table of Contents (23 chapters)
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1
Part 1 – Introduction and Fundamentals
6
Part 2 – Data Import and Query Editor
11
Part 3 – Advanced Data Cleaning and Optimizations
16
Part 4 – Paginated Reports, Automations, and OpenAI

Making Life Easier with OpenAI

OpenAI is taking over the world, with senior stakeholders across industries asking how it can be integrated into their businesses. Many teams also worry about whether this technology will make their roles obsolete. This chapter provides context and insight as to how OpenAI will only help and make life easier when it comes to cleaning data in Power BI.

This chapter delves into the significance of data cleaning, addressing challenges such as inconsistent data formats, missing values, and outliers. The discussion emphasizes the pivotal role that sophisticated tools play in elevating data quality to meet the demands of modern analytics.

ChatGPT, powered by the GPT architecture, is a cutting-edge language model that excels in natural language understanding and generation. Its ability to comprehend and respond to user inputs in a conversational manner opens innovative possibilities for data cleaning and preparation.

Through this chapter, we will cover...

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