If you want to visualize data line by line in a pivot table, you can _____.

Using Sparklines in a pivot table is the correct option for visualizing data line by line because Sparklines provide a compact visual representation of data trends directly within the table. They allow you to see the data's overall pattern or trend without taking up too much space, making them ideal for embedding in a pivot table where each row could represent a different category or data point.

Sparklines are small, simple graphics that display trends in a dataset, such as increases, decreases, or fluctuations over time, enhancing the interpretability of the data without overwhelming the viewer with larger charts or graphs. This feature is particularly useful in pivot tables, where data is summarized, providing a quick visual context to the numbers displayed.

While adding filters can help you focus on specific elements of the data, it does not provide a graphical representation. Creating a bar chart or using a line graph would not allow for a line-by-line visualization in the pivot table itself, as these options typically represent data in a separate chart format rather than directly embedding insights in the table structure. Therefore, Sparklines are uniquely suited for the requirement of visualizing data line by line in a compact and effective manner within the context of a pivot table.