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A pivot table is a feature in Excel that allows you to summarize and analyze data from a table or range. On the other hand, Power Pivot is an Excel add-in that enables you to work with large datasets, create relationships between tables, and perform more advanced data analysis tasks compared to a traditional pivot table. Power Pivot is designed for handling complex data analysis needs beyond the capabilities of a standard pivot table.

To use the Power Pivot feature in Excel, you can follow these steps:

1. Enable the Power Pivot add-in in Excel.

2. Import your data into Power Pivot from various sources.

3. Create relationships between different tables if needed.

4. Perform calculations using DAX (Data Analysis Expressions).

5. Build PivotTables and PivotCharts based on the Power Pivot data model.

6. Generate advanced visualizations and insights from your data.

By following these steps, you can leverage the Power Pivot feature in Excel for in-depth data analysis and visualization.

Microsoft has not officially announced a specific date for adding Power Pivot to the Mac version of Excel. However, they are continuously working on improving the Mac version of Excel and adding features to align it more closely with the Windows version. Keep an eye on Microsoft's updates for any announcements regarding the addition of Power Pivot to the Mac version of Excel.

To use Power Pivot in Excel 2016, you can follow these steps:

1. Go to the "Insert" tab in Excel.

2. Click on "PivotTable" and select "PivotTable" from the dropdown menu.

3. In the Create PivotTable dialog box, choose "Use an external data source" and click "Choose Connection."

4. Select the data source you want to use with Power Pivot and click "Open."

5. The Power Pivot window will open, allowing you to work with your data, create relationships, and perform advanced calculations using DAX functions.

6. Once you have set up your data model in Power Pivot, you can create PivotTables and PivotCharts based on this data model to analyze and visualize your data effectively.

Power Query and Power Pivot serve different purposes in Excel. While Power Pivot is great for data modeling, relationships, and calculations, Power Query is focused on data transformation and shaping. Power Query allows you to clean, transform, and combine data from various sources before it goes into Power Pivot for analysis. It helps you prepare your data effectively for analysis, making the overall data analysis process more efficient and accurate. So, using Power Query alongside Power Pivot can enhance your data analysis capabilities by ensuring that your data is well-prepared and structured for analysis.