In this lesson, I'm going to show you the magic of pivot tables in Looker Studio. You'll learn how to create simple pivot tables with subtotals and grand totals, making your data analysis cleaner and easier to digest. We'll also explore more complex pivot tables with dimensions on both rows and columns, which allow you to visualize your data even better. I'll walk you through various features like heatmaps, expandable dimensions, and adding multiple metrics to make your pivot tables powerful and flexible.

As you dive deeper into the lesson, you'll discover how to use these pivot table features to effectively present your data. You'll learn how to apply bars and heatmaps for easier comparison, expand and shrink dimensions to provide more detail, and use multiple metrics for thorough analysis. By the end of this tutorial, you'll be able to create pivot tables that can be morphed into various shapes and forms, giving you the power to analyze your data like magic.

00:00 Introduction to Pivot Tables
00:10 Understanding Basic Pivot Table vs Table
00:38 Recognizing Grand Total and Subtotals
01:16 Highlighting Rows and Cleaner Interface
01:33 Introducing Dimensions on Rows and Columns
02:02 Exploring Revenue Metrics by Device and OS
02:33 Grand Totals for Pivot Tables
02:47 Visualizing Numbers with Bars
03:00 Advanced Feature: Expandable Pivot Tables
04:22 Applying Heatmap and Advanced Metrics to Pivot Tables
05:58 Concluding Remarks on Pivot Tables

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- Simple pivot tables with subtotals and grand totals
- Complex pivot tables with dimensions on rows and columns
- Heatmaps, expandable dimensions, and multiple metrics
- Applying bars for easier comparison
- Expanding/shrinking dimensions for more detail
- Using multiple metrics for thorough analysis
- Morphing pivot tables into various shapes and forms

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2.4. Pivot Tables in Looker Studio

-- 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.

-- Visualizing Numbers

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.

-- Heatmaps & 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.

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