Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!
storytelling with data
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Influence action through data! This is not a book. It is a one-of-a-kind immersive learning experience through which you can become—or teach others to be—a powerful data storyteller. Let’s practice! helps you build confidence and credibility to create graphs and visualizations that make sense and weave them into action-inspiring stories. Expanding upon best seller storytelling with data’s foundational lessons, Let’s practice! delivers fresh content, a plethora of new examples, and over 100 hands-on exercises. Author and data storytelling maven Cole Nussbaumer Knaflic guides you along the path to hone core skills and become a well-practiced data communicator. Each chapter includes: ● Practice with Cole: exercises based on real-world examples first posed for you to consider and solve, followed by detailed step-by-step illustration and explanation ● Practice on your own: thought-provoking questions and even more exercises to be assigned or worked through individually, without prescribed solutions ● Practice at work: practical guidance and hands-on exercises for applying storytelling with data lessons on the job, including instruction on when and how to solicit useful feedback and refine for greater impact The lessons and exercises found within this comprehensive guide will empower you to master—or develop in others—data storytelling skills and transition your work from acceptable to exceptional. By investing in these skills for ourselves and our teams, we can all tell inspiring and influential data stories!
Don't bore those who listen to you, show your data by telling a story! Imagine that a king, eccentric and not very patient, entrusts you with the task of calculating the prospect of a planned war. So, to avoid "losing your head", you rack your brains to present your calculations and data to the king. In the end, you decide to view the data! By "Storytelling with Data", you learn the fundamentals of data visualization and how to effectively communicate with data: you will discover the power of storytelling! Through this book, you will know the method to reach the heart of the data, so that you can manage them according to your needs and, by appropriate graphics and correct communication, create a compelling story that allows you to convey your ideas effectively and productive to listeners. Not only! With storytelling, you can influence the action with data! This book helps you build trust and credibility to create graphs and visualizations that convince others, guiding you along the way to hone your basic skills and become an expert data communicator. In particular, you will learn: Fundamental of data visualization How to understand the importance of context and audience Determining the appropriate type of graph for your public How to reduce and eliminate clutter in your visuals Inducing the eyes of the public in the most important parts of the data The basic design principles for using these concepts in data visualization To use the power to tell stories to amplify and make your message convincing to your audience The topics that are covered in this book are what you need to become an excellent data visualization presenter. When you have diligently applied yourself to the concepts in this book, you will discover that your skills have improved beyond doubt. Repeat the concepts in this book over and over again, and you will become a master. Go forth and tell your stories!
Master the art and science of data storytelling—with frameworks and techniques to help you craft compelling stories with data. The ability to effectively communicate with data is no longer a luxury in today’s economy; it is a necessity. Transforming data into visual communication is only one part of the picture. It is equally important to engage your audience with a narrative—to tell a story with the numbers. Effective Data Storytelling will teach you the essential skills necessary to communicate your insights through persuasive and memorable data stories. Narratives are more powerful than raw statistics, more enduring than pretty charts. When done correctly, data stories can influence decisions and drive change. Most other books focus only on data visualization while neglecting the powerful narrative and psychological aspects of telling stories with data. Author Brent Dykes shows you how to take the three central elements of data storytelling—data, narrative, and visuals—and combine them for maximum effectiveness. Taking a comprehensive look at all the elements of data storytelling, this unique book will enable you to: Transform your insights and data visualizations into appealing, impactful data stories Learn the fundamental elements of a data story and key audience drivers Understand the differences between how the brain processes facts and narrative Structure your findings as a data narrative, using a four-step storyboarding process Incorporate the seven essential principles of better visual storytelling into your work Avoid common data storytelling mistakes by learning from historical and modern examples Effective Data Storytelling: How to Drive Change with Data, Narrative and Visuals is a must-have resource for anyone who communicates regularly with data, including business professionals, analysts, marketers, salespeople, financial managers, and educators.
The same techniques that are used to tell stories with words-structure, conflict, resolution, emotion, and surprise-can be used with data. You can craft compelling narratives that help audiences visualize information, without complex charts or graphs. Join Paul A. Smith, author of the best-selling book Sell with a Story: How to Capture Attention, Build Trust, and Close the Sale, for this short course, which describes how to tell more effective stories with data. He introduces two master storytelling methods that can be applied to data, "how did we get here" and the discovery journey, and shows both methods in action, so you can see how they apply to real-world scenarios.
The modules in this book will go beyond the dashboard to communicate business-relevant implications of data analyses using the analytic, visualisation, and storytelling capabilities of Tableau, the most popular visualisation software in use by businesses world today. Each chapter will split focus between discussing key components of design practice and data visualisation and introducing a format for representing information with step-by-step guides for using Tableau. By the end of this book, readers will not only understand how data stories differ from traditional storytelling and how to purposefully craft a compelling data story, but also how to employ the horsepower of Tableau to structure data analysis projects so that they can effectively analyse, visualise, and communicate insights in a way that is meaningful for stakeholders across a variety of communication mediums.
With the constant evolution of change in healthcare from both a technology and governmental perspective, it is imperative to take a step back and view the big picture. Relying on hunches or beliefs are no longer sustainable, so avoid jumping to conclusions and making decisions without thoroughly understanding the statistics being analyzed. The triple aim of statistics is a conceptual model laying the foundation for improving healthcare outcomes through statistics. This foundation is: Know your numbers; Develop behavioral interventions; and set goals to drive change. With the availability of electronic data sources, the quantity and quality of data has grown exponentially to the point of information overload. Translating all this data into words that tell a meaningful story is overwhelming. This book takes the reader on a journey that navigates through this data to tell a story that everyone can understand and use to drive improvement. Readers will learn to tell a narrative story based on data, to develop creative, innovative and effective solutions to improve processes and outcomes utilizing the authors' tools. Topics include mortality and readmission, patient experience, patient safety survey, governmental initiatives, CMS star rating and hospital compare. Storytelling with Data in Healthcare combines methodology and statistics in the same course material, making it coherent and easier to put into practice. It uses storytelling as a tool for knowledge acquisition and retention and will be valuable for courses in nursing schools, medical schools, pharmacy schools or any healthcare profession that has a research design or statistics course offered to students. The book will be of interest to researchers, academics, healthcare professionals, and students in the fields of healthcare management and operations as well as statistics and data visualization.
Practical SQL is an approachable and fast-paced guide to SQL (Structured Query Language), the standard programming language for defining, organizing, and exploring data in relational databases. The book focuses on using SQL to find the story your data tells, with the popular open-source database PostgreSQL and the pgAdmin interface as its primary tools. You'll first cover the fundamentals of databases and the SQL language, then build skills by analyzing data from the U.S. Census and other federal and state government agencies. With exercises and real-world examples in each chapter, this book will teach even those who have never programmed before all the tools necessary to build powerful databases and access information quickly and efficiently. You'll learn how to: -Create databases and related tables using your own data -Define the right data types for your information -Aggregate, sort, and filter data to find patterns -Use basic math and advanced statistical functions -Identify errors in data and clean them up -Import and export data using delimited text files -Write queries for geographic information systems (GIS) -Create advanced queries and automate tasks Learning SQL doesn't have to be dry and complicated. Practical SQL delivers clear examples with an easy-to-follow approach to teach you the tools you need to build and manage your own databases. This book uses PostgreSQL, but the SQL syntax is applicable to many database applications, including Microsoft SQL Server and MySQL.