Output to show entire dataset

divumj 

It sounds like you're experiencing a limitation in the number of rows displayed when you drill down into a section of your pivot table. This limit is often imposed by the application or tool you're using to view the data, rather than a limitation of the data model itself.

Here are a few steps you can take to address this issue:

1. **Increase Data Limit**: In some applications or tools, there may be an option to increase the maximum number of rows displayed when drilling down into data. Check the settings or preferences of the tool you're using to see if there's an option to adjust this limit.

2. **Export Data**: If you're unable to increase the data limit within the application, consider exporting the data to a different format (e.g., CSV, Excel) where there are no restrictions on the number of rows. You can then analyze the data in a spreadsheet application or import it into a database for further analysis.

3. **Optimize Data Model**: If the data model contains a large number of rows, consider optimizing it to improve performance. This could involve filtering out unnecessary data, aggregating data at higher levels, or optimizing queries to reduce processing time.

4. **Use Different Visualization**: Instead of drilling down into the data within the pivot table, consider using a different visualization or tool that is better suited for exploring large datasets. For example, you could use a data exploration tool or create custom reports using a BI platform that supports larger datasets.

5. **Consider Performance Trade-offs**: Keep in mind that displaying a large number of rows in a single view can impact performance and may not always be practical. Consider whether it's necessary to display all the data at once, or if there are alternative ways to analyze the data that provide meaningful insights without overwhelming the user.

By considering these options, you should be able to find a solution that allows you to explore and analyze your data effectively, even when dealing with large datasets.

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