The Best Data Visualization Books 2025

1. Storytelling with Data: A Data Visualization Guide for Business Professionals [Paperback - Used]

CONDITION - USED - Pages can include limited notes and highlighting, and the copy can include "From the library of" labels or previous owner inscriptions. Accessories such as CD, codes, toys, may not be included. 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: A Data Visualization Guide for Business Professionals, Used [Paperback]

2. Learning Tableau, Used [Paperback]

If you want to understand your data using data visualization and don't know where to start, then this is the book for you. Whether you are a beginner or have years of experience, this book will help you to quickly acquire the skills and techniques used to discover, analyze, and communicate data visually. Some familiarity with databases and data structures is helpful, but not required.

Learning Tableau, Used [Paperback]

3. Exam Ref 70-778 Analyzing and Visualizing Data by Using Microsoft Power BI, Used [Paperback]

Prepare for Microsoft Exam 70-778-and help demonstrate your real-world mastery of Power BI data analysis and visualization. Designed for experienced BI professionals and data analysts ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Consume and transform data by using Power BI Desktop Model and visualize data Configure dashboards, reports, and apps in the Power BI Service This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have experience consuming and transforming data, modeling and visualizing data, and configuring dashboards using Excel and Power BI

Exam Ref 70-778 Analyzing and Visualizing Data by Using Microsoft Power BI, Used [Paperback]

4. Practical Tableau: 100 Tips, Tutorials, and Strategies from a Tableau Zen Master, Used [Paperback]

Whether you have some experience with Tableau software or are just getting started, this manual goes beyond the basics to help you build compelling, interactive data visualization applications. Author Ryan Sleeper, one of the world's most qualified Tableau consultants, complements his web posts and instructional videos with this guide to give you a firm understanding of how to use Tableau to find valuable insights in data. Over five sections, Sleeper--recognized as a Tableau Zen Master, Tableau Public Visualization of the Year author, and Tableau Iron Viz Champion--provides visualization tips, tutorials, and strategies to help you avoid the pitfalls and take your Tableau knowledge to the next level. Practical Tableau sections include: Fundamentals: get started with Tableau from the beginning Chart types: use step-by-step tutorials to build a variety of charts in Tableau Tips and tricks: learn innovative uses of parameters, color theory, how to make your Tableau workbooks run efficiently, and more Framework: explore the INSIGHT framework, a proprietary process for building Tableau dashboards Storytelling: learn tangible tactics for storytelling with data, including specific and actionable tips you can implement immediately

Practical Tableau: 100 Tips, Tutorials, and Strategies from a Tableau Zen Master, Used [Paperback]

5. Data Visualization, Part 1: New Directions for Evaluation, Number 139 [Paperback - Used]

CONDITION - USED - Pages can include limited notes and highlighting, and the copy can include "From the library of" labels or previous owner inscriptions. Accessories such as CD, codes, toys, may not be included. Do you communicate data and information to stakeholders? This issue is Part 1 of a two-part series on data visualization and evaluation. In Part 1, we introduce recent developments in the quantitative and qualitative data visualization field and provide a historical perspective on data visualization, its potential role in evaluation practice, and future directions. It discusses: Quantitative visualization methods such as tree maps Sparklines Web-based interactive visualization Different types of qualitative data visualizations, along with examples in various evaluation contexts A toolography describing additional data visualization tools and software, along with their major strengths and limitations. Intended as a guidance for understanding and designing data visualizations, this issue introduces fundamental concepts and links them to daily practice. This is the 139th volume of the Jossey-Bass quarterly report series New Directions for Evaluation , an official publication of the American Evaluation Association.

Data Visualization, Part 1 Pt. 1, No. 139 : New Directions for Evaluation, Number 139, Used [Paperback]

6. Tableau 8: The Official Guide, Used [Paperback]

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Present a unified view of complex BI using the entire Tableau 8 toolkit Create and distribute dynamic, feature-rich data visualizations and highly interactive BI dashboards--quickly and easily! Tableau 8: The Official Guide provides the hands-on instruction and best practices you need to meet your business intelligence objectives and drive better decision making. Discover how to work from the Tableau GUI, load BI from disparate sources, drag and drop to analyze data, set up custom visualizations, and build robust dashboards. This practical guide shows you, step by step, how to design and publish meaningful business communications to end users across your enterprise. Navigate the Tableau user interface and data window Connect to spreadsheets, databases, and other sources Select data fields and drag them to desired screen locations Work with pre-defined visualizations and sample workbooks Display background maps and perform geographic analysis Add calculated fields, graphs, charts, tables, and statistics Combine multiple data sources into real-time dashboards Export your visualizations to the Web or in various file formats Electronic content includes: Videos that demonstrate the techniques presented in the book Sample Tableau workbooks

Tableau 8: The Official Guide, Used [Paperback]

7. Data Visualization, Used [Paperback]

This issue delivers concrete suggestions for optimally using data visualization in evaluation, as well as suggestions for best practices in data visualization design. It focuses on specific quantitative and qualitative data visualization approaches that include data dashboards, graphic recording, and geographic information systems (GIS). Readers will get a step-by-step process for designing an effective data dashboard system for programs and organizations, and various suggestions to improve their utility. The next section illustrates the role that graphic recording can play in helping programs and evaluators understand and communicate the mission and impact that an intervention is having in a democratic and culturally competent way. The GIS section provides specific examples of how mapped data can be used to understand program implementation and effectiveness, and the influence that the environment has on these outcomes. Discusses best practices that inform and shape our data visualization design choices Highlights the best use of each tool/approach Provides suggestions for effective practice Discuss the strengths and limitations of each approach in evaluation practice This is the 140th volume of the Jossey-Bass quarterly report series New Directions for Evaluation , an official publication of the American Evaluation Association.

Data Visualization, Used [Paperback]

8. Visualization of Scientific Parallel Programs, Used [Paperback]

The substantial effort of parallelizing scientific programs is only justified if the resulting codes are efficient. Thus, all types of performance tuning are important to parallel software development. But performance improvements are much more difficult to achieve with parallel programs than with sequential programs. One way to overcome this difficulty is to bring in graphical tools. This monograph covers recent developments in parallel program visualization techniques and tools and demonstrates the application of specific visualization techniques and software tools to scientific parallel programs. The solution of initial value problems of ordinary differential equations, and numerical integration are treated in detail as two important examples.

Visualization of Scientific Parallel Programs, Used [Paperback]

9. D3. Js 4. X Data Visualization, Used [Paperback]

Create and publish your own interactive and compelling data visualizations with d3.jsAbout This Book* Understand how to best represent your data by developing the right kind of visualization* Learn D3 from the ground up, using the all-new version 4 of the library* Gain insight into producing high-quality, extensible charts using best practices such as writing testable, extensible code and strong typingWho This Book Is ForIf you're a web developer, data scientist, or anyone interested in creating vizualizations on the Web and have experience with JavaScript, then this book is for you.What you will learn* Transform data using D3's collection methods.* Map data to visual elements using D3's scales.* Draw SVG elements using D3's shape generators.* Use D3's various layout patterns to quickly generate various common types of chart.* Write modern JavaScript using ES2017 and Babel.* Explore the basics of unit-testing D3 visualizations using Mocha Chai.* Write and deploy a simple Node.js web service to render charts via HTML Canvas.* Understand what makes a good data visualization and how to use the tools at your disposal to create accurate charts.In DetailWant to get started with interactive and impressive visualizations, and implement them in your daily tasks? Our book offers the perfect solutionD3.js has emerged as the most popular tool for data visualization.This book will teach you how to implement the features of the latest version of D3 while writing JavaScript using the newest tools and techniques. You will start by setting up the D3 environment and making your first basic histogram. You will then build stunning SVG- and Canvas-based data visualizations while writing testable, extensible code, fully as accurate and informative as it is visually stimulating. Step-by-step examples walk you through creating, integrating, and debugging different types of visualization and will have you building basic visualizations (such as bar, line, and scatter graphs) in no time.By the end of this book, you will have mastered successful data visualizations and will be ready to use D3 to transform any data into a more engaging and sophisticated visualization.

D3. Js 4. X Data Visualization, Used [Paperback]