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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

Summary

In this chapter, you were introduced to Power BI Report Builder to prepare your data for building paginated reports.

Your journey unfolded with insights into the significance of paginated reports, connecting to data sources, utilizing Query Designer, parameters, and filters. Navigating the user interface, you discovered the functionalities of Report Data, Parameters, Properties, and row groups and column groups as well as how to create parameterized fields to refine your dataset queries. Finally, using an example, you began building your report to aggregate and group data by the row groups you created when building the tablix.

This chapter served as just an introduction to the world of Power BI Report Builder and how you can prepare and report on data using paginated reports. I hope a key takeaway from this chapter is that, even if the data you’re working with is clean in your Power BI model or upstream databases, you will still need to do some level of data preparation...

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