2.4. Looker Studio Pivot Tables
Introduction to Pivot Tables
Pivot tables are an exciting way to display data with enhanced functionality compared to regular tables. They offer features like subtotals, cleaner interfaces, and improved focus on specific data points.
Basic Pivot Table Structure
A simple pivot table has dimensions in rows and metrics in columns. It includes subtotals for each group of values and grand totals for the entire table. When hovering over a cell, the row and column get highlighted for easier reading.
Advanced Pivot Tables
In more advanced pivot tables, you can place dimensions in both rows and columns with metrics at their intersections. This allows for a more comprehensive view of your data. Looker Studio also lets you display grand totals and subtotals for both rows and columns.
You can apply bars to your pivot table to make it easier to read and compare values, just like in regular tables.
Expandable Pivot Tables
Looker Studio offers expandable pivot tables, allowing you to hide detailed data under higher-level categories. Users can click on the plus icon to expand the table and view additional details.
Heat maps & Multiple Metrics
Heatmaps can also be applied to pivot tables for quick identification of high and low values. You can display multiple metrics at the intersection of categories, making the pivot table more versatile and informative. This also allows for side-by-side grand totals and easy scrolling through columns.
Customization and Flexibility
Pivot tables in Looker Studio are highly customizable and flexible, adapting to different data structures and visualization preferences. By utilizing various dimensions, metrics, and formatting options, you can create powerful and insightful data displays.
Pivot tables in Looker Studio offer advanced features and improved visualization capabilities compared to regular tables. They allow for greater customization, flexibility, and user interactivity, making them an invaluable tool for data analysis and storytelling.