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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

Reviewing column quality, distribution, and profile

As mentioned earlier, Column distribution, Column quality, and Column profile views are the fundamental features of Power BI and Power Query, and they provide comprehensive insights into your dataset. These views are essential for EDA and help you understand the characteristics of individual columns in your data.

In the following sections, we will explore each view and how they report information.

Column distribution

The Column distribution view in Power BI and Power Query allows you to explore the distribution of values within a specific column. It provides visualization and statistics that help you understand how data is spread across different ranges or categories.

Let’s see an example from the dataset provided in this book’s GitHub repository. Here, we have only selected Column distribution and have then zoomed in on a particular value called OrderQuantity.

Figure 8.2 – Column distribution for the column named OrderQuantity

Figure 8.2 –...

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