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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

Understanding Power Query

As mentioned, Power Query is a powerful data transformation and preparation tool within Microsoft Power BI. It allows users to extract, transform, and load (more commonly known in the industry as ETL) data from various sources, enabling efficient data cleaning, shaping, and integration for analysis and reporting. In this chapter, we will delve into the details of Power Query, exploring its functionality, features, and UI.

Rather than a query language as such, Power Query is primarily accessed and used through the Power Query Editor UI. An example of this view is shown next:

Figure 1.3 – UI of the Power Query Editor

Figure 1.3 – UI of the Power Query Editor

This UI is the hub for cleaning and preparing data within Power BI. It allows users such as yourself to connect to a wide range of data sources and apply transformations within the UI. As you begin to clean and prepare data, Power Query then tracks the steps of your cleaning process.

The actual language...

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