- 219 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
About this book
Data analysis expressions (DAX) is the formula language of Power Pivot. Learning the DAX language is key to empower Excel users so they can take advantage of these new Business Intelligence (BI) capabilities. This volume clearly explains the concepts of Power Pivot while at the same time offering hands-on practice to engage the reader and help new knowledge stick. This second edition has been updated for the Excel 2016 user interface while still providing a bridge for readers wanting to learn DAX in the Excel environment and then transfer their new DAX skills across to Power BI.
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Yes, you can access Supercharge Excel by Matt Allington in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Modelling & Design. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Introduction
- 1: Concept: Introduction to Data Modelling
- 2: Concept: Loading Data
- 3: Concept: Measures
- 4: DAX Topic: SUM(), COUNT(), COUNTROWS(), MIN(), MAX(), COUNTBLANK(), and DIVIDE()
- 5: Concept: Filter Propagation
- 6: Concept: Lookup Tables and Data Tables
- 7: DAX Topic: The Basic Iterators SUMX() and AVERAGEX()
- 8: DAX Topic: Calculated Columns
- 9: DAX Topic: CALCULATE()
- 10: Concept: Evaluation Context and Context Transition
- 11: DAX Topic: IF(), SWITCH(), and FIND()
- 12: DAX Topic: VALUES() and HASONEVALUE()
- 13: DAX Topic: ALL(), ALLEXCEPT(), and ALLSELECTED()
- 14: DAX Topic: FILTER()
- 15: DAX Topic: Time Intelligence
- 16: DAX Topic: RELATED() and RELATEDTABLE()
- 17: Concept: Disconnected Tables
- 18: Concept: KPIs
- 19: Concept: Multiple Data Tables
- 20: Concept: Cube Formulas
- 21: Moving from Excel to Power BI
- 22: Next Steps on Your DAX Journey
- Appendix A: Answers to Practice Exercises
- Index