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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

Chapter 4 – The Most Common Data Cleaning Operations

  1. B – To enhance data accuracy in the analysis – Removing duplicates is crucial to prevent inaccuracies in data analysis, especially when dealing with numerical values.
  2. C – Product Name, as the main identifier – In the provided example, the Product Name column is selected to remove duplicates, as it serves as the main identifier.
  3. B – Distorts analysis results – Missing data, or NULL values, can distort analysis results and visuals.
  4. C – To gain desired dimensions for analysis – for example, splitting a date field – Columns may need to be split to extract specific dimensions for analysis.
  5. C – Split Columns by Delimiter, based on data format – In the Date table example, the By Delimiter function is used to split the date column based on the / delimiter.
  6. C – Merging columns to format date data – Merging columns may...
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