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Cleaning Excel Data With Power Query Straight to the Point : Efficient Data Cleaning Techniques in Excel Using Power Query

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Cleaning Excel Data With Power Query Straight to the Point : Efficient Data Cleaning Techniques in Excel Using Power Query
Περιγραφή: Unlock the secrets of Power Query in Excel to clean, parse, and transform data. Learn key techniques like joining datasets, unpivoting, and creating custom columns to simplify and streamline your data analysis process.Key FeaturesA clear guide to Power Query tools and techniquesPractical examples of common data tasksA complete coverage of advanced transformations and joinsBook DescriptionThis book provides a step-by-step guide to using Power Query in Excel for efficient data cleaning and transformation. Starting with an introduction to its capabilities, it explains how to import data, handle missing values, and parse text fields with ease. Advanced techniques such as merging datasets, appending data, and performing joins are explored in detail. The book also covers grouping data, creating conditional and custom columns, and reshaping data through unpivoting for analysis. Each concept is illustrated with practical examples for clarity. By the end of the book, readers will be equipped with the skills to automate repetitive tasks and streamline workflows. Whether dealing with messy data or preparing datasets for analysis, this guide ensures you can confidently tackle any Excel data transformation challenge.What you will learnImport and prepare data using Power QueryApply fill up and fill down techniquesParse and split text fields by delimitersMerge and append datasets seamlesslyGroup and unpivot data for analysisCreate custom and conditional columnsWho this book is forThis book is ideal for data analysts, business professionals, and Excel users looking to simplify data cleaning and transformation tasks. Readers are recommended to have a basic understanding of Excel. Familiarity with formulas and tables is helpful but not required.
Συγγραφείς: MrExcel's Holy Macro! Books, Oz du Soleil
Resource Type: eBook.
Θέματα: Business--Computer programs, Electronic spreadsheets--Computer programs
Categories: COMPUTERS / Data Science / General, COMPUTERS / Business & Productivity Software / Spreadsheets, COMPUTERS / Data Science / Data Visualization
Βάση Δεδομένων: eBook Index
FullText Text:
  Availability: 0
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An: 4100105
RelevancyScore: 975
AccessLevel: 6
PubType: eBook
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PreciseRelevancyScore: 974.776672363281
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  Data: Cleaning Excel Data With Power Query Straight to the Point : Efficient Data Cleaning Techniques in Excel Using Power Query
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  Data: Unlock the secrets of Power Query in Excel to clean, parse, and transform data. Learn key techniques like joining datasets, unpivoting, and creating custom columns to simplify and streamline your data analysis process.Key FeaturesA clear guide to Power Query tools and techniquesPractical examples of common data tasksA complete coverage of advanced transformations and joinsBook DescriptionThis book provides a step-by-step guide to using Power Query in Excel for efficient data cleaning and transformation. Starting with an introduction to its capabilities, it explains how to import data, handle missing values, and parse text fields with ease. Advanced techniques such as merging datasets, appending data, and performing joins are explored in detail. The book also covers grouping data, creating conditional and custom columns, and reshaping data through unpivoting for analysis. Each concept is illustrated with practical examples for clarity. By the end of the book, readers will be equipped with the skills to automate repetitive tasks and streamline workflows. Whether dealing with messy data or preparing datasets for analysis, this guide ensures you can confidently tackle any Excel data transformation challenge.What you will learnImport and prepare data using Power QueryApply fill up and fill down techniquesParse and split text fields by delimitersMerge and append datasets seamlesslyGroup and unpivot data for analysisCreate custom and conditional columnsWho this book is forThis book is ideal for data analysts, business professionals, and Excel users looking to simplify data cleaning and transformation tasks. Readers are recommended to have a basic understanding of Excel. Familiarity with formulas and tables is helpful but not required.
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            – D: 01
              M: 01
              Type: published
              Y: 2024
            – D: 02
              M: 07
              Type: profile
              Y: 2025
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