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### Power Query, Power Pivot, and DAX
1. **Power Query:**
- **What It Does:** Imports and cleans data from different sources.
- **How It Helps:** Prepares data for analysis.
2. **Power Pivot:**
- **What It Does:** Creates complex data models and analyzes large datasets.
- **How It Helps:** Connects multiple tables and builds advanced PivotTables.
3. **DAX (Data Analysis Expressions):**
- **What It Does:** Performs complex calculations on data.
- **How It Helps:** Creates custom metrics and measures in Power Pivot.
### Summary:
Power Query cleans data, Power Pivot builds models and analyzes data, and DAX performs advanced calculations.
Excel Power Query, Power Pivot, and DAX are powerful tools and functionalities that enhance Excel's capabilities for data transformation, analysis, and visualization.
Definition: Power Query is an Excel add-in (built-in starting from Excel 2016) that allows you to discover, connect, and transform data from various sources into a format suitable for analysis. It provides a user-friendly interface to perform data cleaning, shaping, and merging tasks without needing extensive knowledge of programming languages.
Definition: Power Pivot is an Excel add-in that enables you to create data models, perform advanced data analysis, and create sophisticated data calculations using the DAX language. It extends Excel's capabilities beyond traditional spreadsheets by allowing you to work with large datasets and multiple related tables.
Definition: DAX is a formula language and syntax used in Power Pivot, Power BI, and Analysis Services (Tabular mode). It is similar to Excel formulas but is specifically designed for data modeling and business intelligence scenarios.
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