1 option
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.
- 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
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.