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Data Storytelling with Google Looker Studio : A Hands-On Guide to Using Looker Studio for Building Compelling and Effective Dashboards / Sireesha Pulipati and Nicholas Kelly.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Book
Author/Creator:
Pulipati, Sireesha, author.
Kelly, Nicholas, author.
Language:
English
Subjects (All):
Web-based user interfaces.
Physical Description:
1 online resource (1 volume) : illustrations
Edition:
First edition.
Place of Publication:
Birmingham, England : Packt Publishing Ltd., [2022]
System Details:
Mode of access: World Wide Web.
Biography/History:
Pulipati Sireesha: Sireesha Pulipati is an experienced data analytics and data management professional. She has spent the last decade building and managing data platforms and solutions, and is passionate about enabling users to leverage data to solve business problems. Sireesha holds a master's degree in Business Administration and a bachelor's degree in Electrical Engineering. Her work history spans multiple industries healthcare, media, travel & hospitality, high-tech, and more. She is currently at Google as an analytics lead, helping with analytics strategy to support Search Knowledge Graph. Outside of work, Sireesha enjoys hiking and reading books. She currently resides in the Bay Area.
Summary:
Presenting data visually makes it easier for organizations and individuals to interpret and analyze information. Looker Studio is an easy-to-use, collaborative tool that enables you to transform your data into engaging visualizations. This allows you to build and share dashboards that help monitor key performance indicators, identify patterns, and generate insights to ultimately drive decisions and actions. Data Storytelling with Looker Studio begins by laying out the foundational design principles and guidelines that are essential to creating accurate, effective, and compelling data visualizations. Next, you'll delve into features and capabilities of Looker Studio - from basic to advanced - and explore their application with examples. The subsequent chapters walk you through building dashboards with a structured three-stage process called the 3D approach using real-world examples that'll help you understand the various design and implementation considerations. This approach involves determining the objectives and needs of the dashboard, designing its key components and layout, and developing each element of the dashboard. By the end of this book, you will have a solid understanding of the storytelling approach and be able to create data stories of your own using Looker Studio.
Contents:
Cover
Title Page
Copyright and Credits
Foreword
Contributors
Table of Contents
Preface
Part 1 - Data Storytelling Concepts
Chapter 1: Introduction to Data Storytelling
Understanding data storytelling
Structuring a data story
Presenting data stories
Data storytelling at work
Essential skills for data storytelling
Building data stories - an approach
Determine
Design
Develop
Walking through an example
Summary
Chapter 2: Principles of Data Visualization
Understanding foundational design principles
Simplicity of design
Organizing the layout
Accuracy of information presented
Reviewing Gestalt principles of visual perception
Proximity
Similarity
Continuity
Closure
Enclosure
Connectedness
Prägnanz
Figure and ground
Focal point
Using color wisely
Use fewer distinct colors
Choose an appropriate color palette and scheme
Use color consistently across the dashboard
Consider inclusive color schemes
Further reading
Chapter 3: Visualizing Data Effectively
Choosing the right visuals
Scorecards
Pie and donut charts
Bar charts
Line charts
Combo charts
Scatterplot
Tables
Heatmap (matrix)
Treemap
Geographical maps
Others
Avoiding common pitfalls
Overloading a dashboard
Designing a poor or incohesive layout
Not emphasizing key information and a message
Using color excessively or inappropriately
Using dual axes in charts without caution
Inappropriate manipulation of axes
Using inappropriate or complex chart types
Part 2 - Looker Studio Features and Capabilities
Chapter 4: Google Looker Studio Overview
Technical requirements
Getting started with Google Looker Studio
How it works
Working with data sources
Creating a data source.
Managing data freshness
Controlling data access
Editing a data source schema
Other common data source operations
Working with reports
Creating a report
Creating a report from a template
Publishing a report
Sharing a report
Other common report operations
Working with Explorer
Creating an Explorer
Exporting from Explorer
Using Explorer in an analyst workflow
Leveraging Looker Studio Gallery
Getting help with Looker Studio
Building your first Looker Studio report - creating the data source
Chapter 5: Looker Studio Report Designer
Report Designer overview
Adding charts to the canvas
Adding additional data sources
Adding and managing pages
Choosing a report theme and layout
Defining Report Settings
Working with data for charts
Adding dimensions
Adding metrics
Sorting data in the charts
Implementing filters
Understanding editor filters
Adding an editor filter
Interactive filter controls
Adding design components
Embedding external content
Styling report components
Background and Border
Text styles
Common chart style properties
Configuring style properties in report themes
Building your first Looker Studio report - creating a report from the data source
Chapter 6: Looker Studio Built-In Charts
Charts in Looker Studio - an overview
Configuring tables and pivot tables
Table with numbers
Table with bars
Table with drill down
Pivot tables
Configuring bar charts
Columnar bar chart
Horizontal bar chart
Clustered bar chart
Stacked bar chart
Configuring time series, line, and area charts
Line chart
Time series chart
Area chart
Configuring scatter charts
Configuring pie and donut charts
Configuring geographical charts.
Geo chart
Google Maps chart
Configuring scorecards
Configuring other chart types
Bullet chart
Gauge chart
Building your first Looker Studio report - adding charts
Chapter 7: Looker Studio Features, Beyond Basics
Leveraging calculated fields
Organizing dimension values into custom groups
Manipulating text with regular expressions
Using MAX and MIN across multiple fields or expressions
Displaying images and hyperlinks
Using parameters
Parameters and calculated fields
Parameters and connectors
Blending data
Blending disparate data sources
Blending charts
Reaggregating metrics using blending
Adding community visualizations
Creating report templates
Optimizing reports for performance
Optimizing data sources
Optimizing reports
Underlying dataset performance
Part 3 - Building Data Stories with Looker Studio
Chapter 8: Employee Turnover Analysis
Describing the example scenario
Building the report - Stage 1: Determine
Building the report - Stage 2: Design
Defining the metrics
Choosing the visualization types
Considering the filters and their interactions
Designing the layout
Building the report - Stage 3: Develop
Setting up the data source
Creating the report
Chapter 9: Mortgage Complaints Analysis
Introducing BigQuery
Getting started with BigQuery
Getting data into BigQuery
Analyzing data in BigQuery
Building the dashboard- Stage 1: Determine
Building the dashboard- Stage 2: Design
Choosing visualization types
Considering filters and interactions
Building the dashboard- Stage 3: Develop
Creating a report.
Summary
Chapter 10: Customer Churn Analysis
Choosing visualization types and filters
Chapter 11: Monitoring Report Usage
Usage monitoring overview
Google Analytics primer
Understanding GA reports
Monitoring Looker Studio report usage with GA4
Setting up GA4 for Looker Studio report monitoring
Creating a custom report in GA4
Visualizing in Looker Studio
Exporting GA4 data to BigQuery
Index
Other Books You May Enjoy.
Notes:
Includes index.
Includes bibliographical references and index.
OCLC-licensed vendor bibliographic record.
Description based on print version record.
ISBN:
9781800561953
1800561954
OCLC:
1350453382

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