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Data Cleaning with Power BI

You're reading from  Data Cleaning with Power BI

Product type Book
Published in Feb 2024
Publisher Packt
ISBN-13 9781805126409
Pages 340 pages
Edition 1st Edition
Languages
Author (1):
Gus Frazer Gus Frazer
Profile icon Gus Frazer

Table of Contents (23) Chapters

Preface Part 1 – Introduction and Fundamentals
Chapter 1: Introduction to Power BI Data Cleaning Chapter 2: Understanding Data Quality and Why Data Cleaning is Important Chapter 3: Data Cleaning Fundamentals and Principles Chapter 4: The Most Common Data Cleaning Operations Part 2 – Data Import and Query Editor
Chapter 5: Importing Data into Power BI Chapter 6: Cleaning Data with Query Editor Chapter 7: Transforming Data with the M Language Chapter 8: Using Data Profiling for Exploratory Data Analysis (EDA) Part 3 – Advanced Data Cleaning and Optimizations
Chapter 9: Advanced Data Cleaning Techniques Chapter 10: Creating Custom Functions in Power Query Chapter 11: M Query Optimization Chapter 12: Data Modeling and Managing Relationships Part 4 – Paginated Reports, Automations, and OpenAI
Chapter 13: Preparing Data for Paginated Reporting Chapter 14: Automating Data Cleaning Tasks with Power Automate Chapter 15: Making Life Easier with OpenAI Assessments Index Other Books You May Enjoy

Using Query Editor versus DAX for transformation

In Power BI, Power Query and DAX (short for Data Analysis Expressions) are both powerful tools for data transformation, but they serve different purposes and are used at different stages of the data preparation process. There’s a simple workflow we can reference when deciding on which tool to use for your transformations. Let’s review them in detail.

Power Query Editor

Power Query Editor in Microsoft Power BI is a powerful data transformation tool designed for cleaning and refining data before analysis. It features an intuitive interface, allowing users to connect to various data sources, import raw data, and perform diverse transformation tasks such as filtering, sorting, and merging. The editor operates step by step, enhancing transparency and facilitating error identification. Noteworthy is its ability to record transformations as reproducible steps, and it supports a formula language called M for advanced scripting...

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