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.

Author: Cole Nussbaumer Knaflic

Publisher: John Wiley & Sons

ISBN: 9781119002253

Category: Mathematics

Page: 292

View: 687

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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!

Author:

Publisher:

ISBN: OCLC:1085652646

Category: Business

Page: 8

View: 772

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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.

Author: Steve M. Eckert

Publisher: Independently Published

ISBN: 1671907043

Category:

Page: 176

View: 864

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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!

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.

Author: Cole Nussbaumer Knaflic

Publisher: John Wiley & Sons

ISBN: 9781119621492

Category: Computers

Page: 454

View: 405

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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!

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.

Author: Steve M. Eckert

Publisher:

ISBN: 9798602442687

Category:

Page: 193

View: 426

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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!

Berengueres, J., Fenwick, A., and Sandell, M. Introduction to Data Visualization and Storytelling: A Guide for the Data Scientist. ... Knaflic, C. N. Storytelling with Data: A Data Visualization Guide for Business Professionals.

Author: Jeffrey D. Camm

Publisher: Cengage Learning

ISBN: 9780357631430

Category: Computers

Page: 448

View: 464

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DATA VISUALIZATION: Exploring and Explaining with Data is designed to introduce best practices in data visualization to undergraduate and graduate students. The book contains material on effective design, choice of chart type, effective use of color, how to explore data visually, and how to explain concepts and results visually in a compelling way with data. In an increasingly data-driven economy, these concepts are becoming more important for analysts, natural scientists, social scientists, engineers, medical professionals, business professionals, and virtually everyone who needs to interact with data. Indeed, the skills developed in this book will be helpful to all who want to influence with data or be accurately informed by data. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

The Art and Practice of Data Analysis David S. Brown. the-numbers-on-inequality Knaflic, C. N. (2015). Storytelling with data: A data visualization guide for business professionals. Wiley. Piketty, T. (2014). Capital in the twenty-first ...

Author: David S. Brown

Publisher: SAGE Publications

ISBN: 9781544333847

Category: Social Science

Page: 616

View: 684

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Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of Data Analysis by David S. Brown teaches students statistics through charts, graphs, and displays of data that help students develop intuition around statistics as well as data visualization skills. By focusing on the visual nature of statistics instead of mathematical proofs and derivations, students can see the relationships between variables that are the foundation of quantitative analysis. Using the latest tools in R and R RStudio® for calculations and data visualization, students learn valuable skills they can take with them into a variety of future careers in the public sector, the private sector, or academia. Starting at the most basic introduction to data and going through most crucial statistical methods, this introductory textbook quickly gets students new to statistics up to speed running analyses and interpreting data from social science research.

He helped establish a modern approach to presenting data. For another approach, check out Storytelling with Data: A Data Visualization Guide for Business Professionals by Cole Nussbaumer Knaflic.3 In her book, she lays out six key ...

Author: Doug Rose

Publisher: Apress

ISBN: 9781484222539

Category: Computers

Page: 252

View: 564

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Learn how to build a data science team within your organization rather than hiring from the outside. Teach your team to ask the right questions to gain actionable insights into your business. Most organizations still focus on objectives and deliverables. Instead, a data science team is exploratory. They use the scientific method to ask interesting questions and run small experiments. Your team needs to see if the data illuminate their questions. Then, they have to use critical thinking techniques to justify their insights and reasoning. They should pivot their efforts to keep their insights aligned with business value. Finally, your team needs to deliver these insights as a compelling story. Insight!: How to Build Data Science Teams that Deliver Real Business Value shows that the most important thing you can do now is help your team think about data. Management coach Doug Rose walks you through the process of creating and managing effective data science teams. You will learn how to find the right people inside your organization and equip them with the right mindset. The book has three overarching concepts: You should mine your own company for talent. You can’t change your organization by hiring a few data science superheroes. You should form small, agile-like data teams that focus on delivering valuable insights early and often. You can make real changes to your organization by telling compelling data stories. These stories are the best way to communicate your insights about your customers, challenges, and industry. What Your Will Learn: Create data science teams from existing talent in your organization to cost-efficiently extract maximum business value from your organization’s data Understand key data science terms and concepts Follow practical guidance to create and integrate an effective data science team with key roles and the responsibilities for each team member Utilize the data science life cycle (DSLC) to model essential processes and practices for delivering value Use sprints and storytelling to help your team stay on track and adapt to new knowledge Who This Book Is For Data science project managers and team leaders. The secondary readership is data scientists, DBAs, analysts, senior management, HR managers, and performance specialists.

Finally, Storytelling with Data: A Data Visualization Guide for Business Professionals by Cole Nussbaumer Knafic gives practical tips and step-by-step examples of taking graphs from complicated and cluttered to simple and clear (Knafic, ...

Author: Joyce Weiner

Publisher: Springer Nature

ISBN: 9783031016851

Category: Business & Economics

Page: 65

View: 392

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Recent data shows that 87% of Artificial Intelligence/Big Data projects don’t make it into production (VB Staff, 2019), meaning that most projects are never deployed. This book addresses five common pitfalls that prevent projects from reaching deployment and provides tools and methods to avoid those pitfalls. Along the way, stories from actual experience in building and deploying data science projects are shared to illustrate the methods and tools. While the book is primarily for data science practitioners, information for managers of data science practitioners is included in the Tips for Managers sections.

Think about the end of the stories and what could go wrong with the data . ... Visualizations can serve as a great medium for storytelling , too . ... Storytelling with Data : A Data Visualization Guide for Business Professionals .

Author: Cecilia Aragon

Publisher: MIT Press

ISBN: 9780262543217

Category: Computers

Page: 201

View: 324

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Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets. Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow—and show how a human-centered approach can enhance each one, by making the process more transparent, asking questions, and considering the social context of the data. They describe how tools from social science might be incorporated into data science practices, discuss different types of collaboration, and consider data storytelling through visualization. The book shows that data science practitioners can build rigorous and ethical algorithms and design projects that use cutting-edge computational tools and address social concerns.