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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Computer science is the theory, experimentation, and engineering that form the basis for the design and use of computers. This book provides over 2,000 Exam Prep questions and answers to accompany the text Storytelling With Data Items include highly probable exam items: Two-phase locking, Superkey, Integrity constraints, centralized database, Information needs, NoSQL, productivity, Question, Data retrieval, purpose, expense, investment, understanding, Superkey, Merge, second, Candidate key, and more.
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.
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.
Make information memorable with creative visual designtechniques Research shows that visual information is more quickly andeasily understood, and much more likely to be remembered. Thisinnovative book presents the design process and the best softwaretools for creating infographics that communicate. Including aspecial section on how to construct the increasingly popularinfographic resume, the book offers graphic designers, marketers,and business professionals vital information on the most effectiveways to present data. Explains why infographics and data visualizations work Shares the tools and techniques for creating greatinfographics Covers online infographics used for marketing, including socialmedia and search engine optimization (SEO) Shows how to market your skills with a visual, infographicresume Explores the many internal business uses of infographics,including board meeting presentations, annual reports, consumerresearch statistics, marketing strategies, business plans, andvisual explanations of products and services to your customers With Cool Infographics, you'll learn to createinfographics to successfully reach your target audience and tellclear stories with your data.
"What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company ... Through interviews and examples from data scientists and analytics leaders in a variety of industries ... Anderson explains the analytics value chain you need to adopt when building predictive business models"--Publisher's description.
Do you want to help build what's next for journalism? Then jump into Mark Briggs' proven guide for leveraging digital technology to do better journalism. The media landscape changes with such ferocious speed that as soon as new technologies gain a foothold, older ones become obsolete. To keep ahead and abreast of these ever-evolving tools and techniques, Briggs offers practical and timely guidance for both the seasoned professional looking to get up to speed and the digital native looking to root their tech know-how in real journalistic principles. Learn how to effectively blog, crowdsource, use mobile applications, mine databases, and expertly capture audio and video to report with immediacy, cultivate community, and tell compelling stories. Journalism Next will improve digital literacy, fast. Briggs begins with the basics and then explores specialized skills in multimedia so you can better manage online communities and build an online audience. Journalism Next is a quick read and roadmap you'll reference time and time again. Dive into any chapter and start mastering a new skill right away. And for today's journalist, who can afford to waste any time?
The first-of-its-kind book on data story telling set in the Indian context by an Indian author. The Power of Data Storytelling is a book that aims to solve the classic dilemma of—How do I make company data interesting and present it in the form of a great data story for today’s time-crunched professionals. The book focuses on various methods of converting dry facts and figures into interesting characters, events and relaying them in the form of a story to enable company’s decision-making. The book covers all data story related aspects—art of storytelling, building, writing and visualizing. The book reflects practical corporate examples from varied fields and how data storytelling enabled the decision-making process. It does not require knowledge of sophisticated tools and introduces new, simple and application-oriented methods at every stage to take data storytelling forward. The book has wide application across industries and organizations with data sets that are big and small. It has explanatory written and visual examples at every discussion which makes it less theoretical and more practically applicable.
Computer science is the theory, experimentation, and engineering that form the basis for the design and use of computers. This book provides over 2,000 Exam Prep questions and answers to accompany the text Visual Data Storytelling with Tableau Items include highly probable exam items: Learning Vector Quantization, Markov random field, Dendrogram, Decision theory, Linguistics, Grammars, Empirical risk minimization, Machine translation, Polytree, Hans Reichenbach, Hans Reichenbach, Markov blanket, and more.