Guerrilla Data Analysis Using Microsoft Excel
eBook - ePub

Guerrilla Data Analysis Using Microsoft Excel

Overcoming Crap Data and Excel Skirmishes

  1. 240 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Guerrilla Data Analysis Using Microsoft Excel

Overcoming Crap Data and Excel Skirmishes

About this book

This book includes step-by-step examples and case studies that teach users the many power tricks for analyzing data in Excel. These are tips honed by Bill Jelen, "MrExcel, " and Oz do Soleil during their careers run as a financial analyst charged with taking mainframe data and turning it into useful information quickly. Topics include data quality, validation, perfectly sorting with one click every time, matching lists of data, data consolidation, data subtotals, pivot tables, pivot charts, tables and much more.

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Yes, you can access Guerrilla Data Analysis Using Microsoft Excel by Bill Jelen,Oz do Soleil in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Processing. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Holy Macro! Books
Year
2022
eBook ISBN
9781615471607
Edition
3
Topic
Computer Science
Subtopic
Data Processing
Index
Computer Science

Table of contents

  1. Introduction: Welcome to the World of Guerrilla Data Analysis!
  2. Chapter 1: Reviewing the Basics
  3. Chapter 2: Excel Tables: The Glue in Dynamic Spreadsheet Development
  4. Chapter 3: Collaboration Tools
  5. Chapter 4: Summing and Counting with Criteria
  6. Chapter 5: VLOOKUP and XLOOKUP
  7. Chapter 6: Pivot Tables: The Turning Point!
  8. Chapter 7: Power Query
  9. Chapter 8: Conditional Formatting
  10. Chapter 9: De-duping in Excel
  11. Chapter 10: Dynamic Arrays
  12. Chapter 11: Data Is Never 100% Clean (Not for Very Long)
  13. Chapter 12: Data Validation: Controlling Inputs and Maintaining Data Integrity
  14. Chapter 13: Protecting Sheets and Cells
  15. Chapter 14: Octopus Spreadsheets
  16. Chapter 15: INDIRECT
  17. Chapter 16: OFFSET
  18. Chapter 17: Recognizing Patterns
  19. Chapter 18: Data Types and Stock History
  20. Chapter 19: Graphing
  21. Chapter 20: The Dangers of Just Diving In
  22. Chapter 21: The LET Function
  23. Chapter 22: Warnings About Machine Learningā€“Driven Features in Excel and Power Query
  24. Chapter 23: Avoid Working on Your Source Data
  25. Chapter 24: Using Slicers
  26. Chapter 25: Data Models and Relationships
  27. Chapter 26: People, Processes, and Tools
  28. Chapter 27: Keeping Your Data in as Few Places as Possible
  29. Chapter 28: Rough-and-Tumble Tips and Insights
  30. Chapter 29: Spreadsheet Layout and Development
  31. Index