國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

96 common challenges in Power Queryp...

Motamedisedeh, Omid.

96 common challenges in Power Querypractical solutions for mastering data transformation in Excel and Power BI /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	96 common challenges in Power Queryby Omid Motamedisedeh.
其他題名:	practical solutions for mastering data transformation in Excel and Power BI /
作者:	Motamedisedeh, Omid.
出版者:	Berkeley, CA :Apress :2025.
面頁冊數:	xxii, 684 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Database managementComputer programs.
電子資源:	https://doi.org/10.1007/979-8-8688-1288-0
ISBN:	9798868812880$q(electronic bk.)

96 common challenges in Power Querypractical solutions for mastering data transformation in Excel and Power BI /
Motamedisedeh, Omid.

96 common challenges in Power Querypractical solutions for mastering data transformation in Excel and Power BI /[electronic resource] :by Omid Motamedisedeh. - Berkeley, CA :Apress :2025. - xxii, 684 p. :ill. (chiefly color), digital ;24 cm.

Chapter 1: Data Extraction from Files -- Chapter 2: Referencing -- Chapter 3: Sorting & Filtering -- Chapter 4: Column Splitting & Merging -- Chapter 5: Pivoting & Unpivoting Tables -- Chapter 6: Grouping Rows with Table.Group -- Chapter 7: Merging & Appending Tables -- Chapter 8: Handling Missing Values -- Chapter 9: Looping in Power Query -- Chapter 10: Leveraging Scripting and External Integrations in Power Query -- Chapter 11: Error Handling Strategies -- Chapter 12: Custom Functions.

This comprehensive guide is designed to address the most frequent and challenging issues faced by users of Power Query, a powerful data transformation tool integrated into Excel, Power BI, and Microsoft Azure. By tackling 96 real-world problems with practical, step-by-step solutions, this book is an essential resource for data analysts, Excel enthusiasts, and Power BI professionals. It aims to enhance your data transformation skills and improve efficiency in handling complex data sets. 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.

ISBN: 9798868812880$q(electronic bk.)

Standard No.: 10.1007/979-8-8688-1288-0doiSubjects--Uniform Titles:

Power Query (Computer file)
Subjects--Topical Terms:

202306
Database management
--Computer programs.

LC Class. No.: QA76.9.D3

Dewey Class. No.: 005.7565

96 common challenges in Power Querypractical solutions for mastering data transformation in Excel and Power BI /
LDR:04411nmm a2200337 a 4500 001 683415
003 DE-He213
005 20250620130325.0
006 m d
007 cr nn 008maaau
008 251212s2025 cau s 0 eng d
020 $a 9798868812880$q(electronic bk.)
020 $a 9798868812873$q(paper)
024 7 $a 10.1007/979-8-8688-1288-0 $2 doi
035 $a 979-8-8688-1288-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D3
072 7 $a UMP $2 bicssc
072 7 $a COM051380 $2 bisacsh
072 7 $a UMP $2 thema
082 0 4 $a 005.7565 $2 23
090 $a QA76.9.D3 $b M917 2025
100 1 $a Motamedisedeh, Omid. $3 972656
245 1 0 $a 96 common challenges in Power Query $h [electronic resource] : $b practical solutions for mastering data transformation in Excel and Power BI / $c by Omid Motamedisedeh.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2025.
300 $a xxii, 684 p. : $b ill. (chiefly color), digital ; $c 24 cm.
338 $a online resource $b cr $2 rdacarrier
505 0 $a Chapter 1: Data Extraction from Files -- Chapter 2: Referencing -- Chapter 3: Sorting & Filtering -- Chapter 4: Column Splitting & Merging -- Chapter 5: Pivoting & Unpivoting Tables -- Chapter 6: Grouping Rows with Table.Group -- Chapter 7: Merging & Appending Tables -- Chapter 8: Handling Missing Values -- Chapter 9: Looping in Power Query -- Chapter 10: Leveraging Scripting and External Integrations in Power Query -- Chapter 11: Error Handling Strategies -- Chapter 12: Custom Functions.
520 $a This comprehensive guide is designed to address the most frequent and challenging issues faced by users of Power Query, a powerful data transformation tool integrated into Excel, Power BI, and Microsoft Azure. By tackling 96 real-world problems with practical, step-by-step solutions, this book is an essential resource for data analysts, Excel enthusiasts, and Power BI professionals. It aims to enhance your data transformation skills and improve efficiency in handling complex data sets. 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.
630 0 0 $a Power Query (Computer file) $3 972657
650 0 $a Database management $x Computer programs. $3 202306
650 1 4 $a Microsoft. $3 915087
650 2 4 $a Database Management. $3 273994
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/979-8-8688-1288-0
950 $a Professional and Applied Computing (SpringerNature-12059)