96 Common Challenges in Power Query (PDF)

Structured into 12 chapters, the book covers specific areas of Power Query such as data extraction, referencing, column splitting and merging, sorting and filtering, and pivoting and unpivoting tables. You will learn to combine data from Excel files with varying column names, handle multi-row headers, perform advanced filtering, and manage missing values using techniques such as linear interpolation and K-nearest neighbors (K-NN) imputation. The book also dives into advanced Power Query functions such as Table.Group, List.Accumulate, and List.Generate, explored through practical examples such as calculating running totals and implementing complex grouping and iterative processes. Additionally, it covers crucial topics such as error-handling strategies, custom function creation, and the integration of Python and R with Power Query.
In addition to providing explanations on the use of functions and the M language for solving real-world challenges, this book discusses optimization techniques for data cleaning processes and improving computational speed. It also compares the execution time of functions across different patterns and proposes the optimal approach based on these comparisons.
In today's data-driven world, mastering Power Query is crucial for accurate and efficient data processing. But as data complexity grows, so do the challenges and pitfalls that users face. This book serves as your guide through the noise and your key to unlocking the full potential of Power Query. You'll quickly learn to navigate and resolve common issues, enabling you to transform raw data into actionable insights with confidence and precision.
What You Will Learn

Master data extraction and transformation techniques for various Excel file structures
Apply advanced filtering, sorting, and grouping methods to organize and analyze data
Leverage powerful functions such as Table.Group, List.Accumulate, and List.Generate for complex transformations
Optimize queries to execute faster
Create and utilize custom functions to handle iterative processes and advanced list transformation
Implement effective error-handling strategies, including removing erroneous rows and extracting error reasons
Customize Power Query solutions to meet specific business needs and share custom functions across files
Who This Book Is For

Aspiring and developing data professionals using Power Query in Excel or Power BI who seek practical solutions to enhance their skills and streamline complex data transformation workflows

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