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Best Data Visualization Books for Beginners to Advanced

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Best Data Visualization Books for Beginners to Advanced
Best Data Visualization Books for Beginners to Advanced

Are you looking for the ?… If yes, then this article is for you. In this article, you will find the Best Data Visualization Books for Beginners & advanced like Beginner courses, and Practice test coursesSo, check these Best Data Visualization Books for Beginners and find the Best Data Visualization Books for Beginners to Advanced according to your need.

In the previous article, I have already shared the Best Data Visualization Courses if you have missed the post you can read it now.

Now, without any further ado, let’s get started.

Best Data Visualization Books for Beginners to Advanced in 2022

Storytelling with Data: A Data Visualization Guide for Business Professionals

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 examplesready 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

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Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures

Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options.

This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization.

  • Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value
  • Understand the importance of redundant coding to ensure you provide key information in multiple ways
  • Use the book’s visualizations directory, a graphical guide to commonly used types of data visualizations
  • Get extensive examples of good and bad figures
  • Learn how to use figures in a document or report and how to employ them effectively to tell a compelling story

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Data Visualization: A Practical Introduction

This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way.

Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics.

Topics include plotting continuous and categorical variables; layering information on graphics; producing effective “small multiple” plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible.

Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings.

  • Provides hands-on instruction using R and ggplot2
  • Shows how the “tidyverse” of data analysis tools makes working with R easier and more consistent
  • Includes a library of data sets, code, and functions

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Data Visualization with Excel Dashboards and Reports

In Excel, there is a major focus on business intelligence and visualization.  Data Visualization with Excel Dashboards and Reports fills the gap between handling data and synthesizing data into meaningful reports.  This title will show readers how to think about their data in ways other than columns and rows.

Most Excel books do a nice job discussing the individual functions and tools that can be used to create an “Excel Report”.  Titles on Excel charts, Excel pivot tables, and other books that focus on “Tips and Tricks” are useful in their own right; however they don’t hit the mark for most data analysts. 

The primary reason these titles miss the mark is they are too focused on the mechanical aspects of building a chart, creating a pivot table, or other functionality.  They don’t offer these topics in the broader picture by showing how to present and report data in the most effective way.

What are the most meaningful ways to show trending?  How do you show relationships in data?  When is showing variances more valuable than showing actual data values?   How do you deal with outliers?  How do you bucket data in the most meaningful way?  How do you show impossible amounts of data without inundating your audience? 

In Data Visualization with Excel Reports and Dashboards, readers will get answers to all of these questions. Part technical manual, part analytical guidebook; this title will help Excel users go from reporting data with simple tables full of dull numbers, to creating hi-impact reports and dashboards that will wow management both visually and substantively. This book offers a comprehensive review of a wide array of technical and analytical concepts that will help users create meaningful reports

  • Analyze large amounts of data and report their data in a meaningful way
  • Get better visibility into data from different perspectives
  • Quickly slice data into various views on the fly
  • Automate redundant reporting and analyses
  • Create impressive dashboards and What-If analyses
  • Understand the fundamentals of effective visualization
  • Visualize performance comparisons
  • Visualize changes and trends over time

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Hands-On Data Visualization: Interactive Storytelling From Spreadsheets to Code

Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You’ll also gradually learn how to edit open source code templates like Chart.js, Highcharts, and Leaflet on GitHub.

Hands-On Data Visualization takes you step-by-step through tutorials, real-world examples, and online resources. This practical guide is ideal for students, nonprofit organizations, small business owners, local governments, journalists, academics, and anyone who wants to take data out of spreadsheets and turn it into lively interactive stories. No coding experience is required.

  • Build interactive charts and maps and embed them in your website
  • Understand the principles for designing effective charts and maps
  • Learn key data visualization concepts to help you choose the right tools
  • Convert and transform tabular and spatial data to tell your data story
  • Edit and host Chart.js, Highcharts, and Leaflet map code templates on GitHub
  • Learn how to detect bias in charts and maps produced by others

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Data Visualisation: A Handbook for Data Driven Design

With over 200 images and extensive how-to and how-not-to examples, this new edition has everything students and scholars need to understand and create effective data visualisations.

Combining ‘how to think’ instruction with a ‘how to produce’ mentality, this book takes readers step-by-step through analysing, designing, and curating information into useful, impactful tools of communication.

With this book and its extensive collection of online support, readers can:

  • Decide what visualisations work best for their data and their audience using the chart gallery
  • See data visualisation in action and learn the tools to try it themselves
  • Follow online checklists, tutorials, and exercises to build skills and confidence
  • Get advice from the UK’s leading data visualisation trainer on everything from getting started to honing the craft.

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Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations

In Good Charts, dataviz maven Scott Berinato provides an essential guide to how visualization works and how to use this new language to impress and persuade. Dataviz today is where spreadsheets and word processors were in the early 1980s—on the cusp of changing how we work. Berinato lays out a system for thinking visually and building better charts through a process of talking, sketching, and prototyping.

This book is much more than a set of static rules for making visualizations. It taps into both well-established and cutting-edge research in visual perception and neuroscience, as well as the emerging field of visualization science, to explore why good charts (and bad ones) create “feelings behind our eyes.” Along the way, Berinato also includes many engaging vignettes of dataviz pros, illustrating the ideas in practice.

Good Charts will help you turn plain, uninspiring charts that merely present information into smart, effective visualizations that powerfully convey ideas.

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The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios

The Big Book of Dashboards presents a comprehensive reference for those tasked with building or overseeing the development of business dashboards.

Comprising dozens of examples that address different industries and departments (healthcare, transportation, finance, human resources, marketing, customer service, sports, etc.) and different platforms (print, desktop, tablet, smartphone, and conference room display) The Big Book of Dashboards is the only book that matches great dashboards with real-world business scenarios.

By organizing the book based on these scenarios and offering practical and effective visualization examples, The Big Book of Dashboards will be the trusted resource that you open when you need to build an effective business dashboard.

In addition to the scenarios there’s an entire section of the book that is devoted to addressing many practical and psychological factors you will encounter in your work.

The Big Book of Dashboards gives you the tools, guidance, and models you need to produce great dashboards that inform, enlighten, and engage.

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Interactive Data Visualization for the Web: An Introduction to Designing with D3

Create and publish your own interactive data visualization projects on the web—even if you have little or no experience with data visualization or web development. It’s inspiring and fun with this friendly, accessible, and practical hands-on introduction. This fully updated and expanded second edition takes you through the fundamental concepts and methods of D3, the most powerful JavaScript library for expressing data visually in a web browser.

Ideal for designers with no coding experience, reporters exploring data journalism, and anyone who wants to visualize and share data, this step-by-step guide will also help you expand your web programming skills by teaching you the basics of HTML, CSS, JavaScript, and SVG.

  • Learn D3 4.x—the latest D3 version—with downloadable code and over 140 examples
  • Create bar charts, scatter plots, pie charts, stacked bar charts, and force-directed graphs
  • Use smooth, animated transitions to show changes in your data
  • Introduce interactivity to help users explore your data
  • Create custom geographic maps with panning, zooming, labels, and tooltips
  • Walk through the creation of a complete visualization project, from start to finish
  • Explore inspiring case studies with nine accomplished designers talking about their D3-based projects

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Effective Data Visualization: The Right Chart for the Right Data

Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate data findings. This comprehensive how-to guide functions as a set of blueprints―supported by research and the author’s extensive experience with clients in industries all over the world―for conveying data in an impactful way.

Delivered in Evergreen’s humorous and approachable style, the book covers the spectrum of graph types available beyond the default options, how to determine which one most appropriately fits specific data stories, and easy steps for making the chosen graph in Excel.

New to the Second Edition is a completely re-written chapter on qualitative data; inclusion of 9 new quantitative graph types; new shortcuts in Excel; and entirely new chapter on Sharing Your Data with the World which includes advice on using dashboards; and lots of new examples throughout.

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The Tableau Workshop: A practical guide to the art of data visualization with Tableau

Learning Tableau has never been easier, thanks to this practical introduction to storytelling with data. The Tableau Workshop breaks down the analytical process into five steps: data preparation, data exploration, data analysis, interactivity, and distribution of dashboards. Each stage is addressed with a clear walkthrough of the key tools and techniques you’ll need, as well as engaging real-world examples, meaningful data, and practical exercises to give you valuable hands-on experience.

As you work through the book, you’ll learn Tableau step by step, studying how to clean, shape, and combine data, as well as how to choose the most suitable charts for any given scenario. You’ll load data from various sources and formats, perform data engineering to create new data that delivers deeper insights, and create interactive dashboards that engage end-users.

All concepts are introduced with clear, simple explanations and demonstrated through realistic example scenarios. You’ll simulate real-world data science projects with use cases such as traffic violations, urban populations, coffee store sales, and air travel delays.

  • Become an effective user of Tableau Prep and Tableau Desktop
  • Load, combine, and process data for analysis and visualization
  • Understand different types of charts and when to use them
  • Perform calculations to engineer new data and unlock hidden insights
  • Add interactivity to your visualizations to make them more engaging
  • Create holistic dashboards that are detailed and user-friendly

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And here the list ends. So, these are the Best Data Visualization Books for Beginners to Advanced. I will keep adding more Best Books on Data Visualization to this list.

Conclusion

I hope these Best Data Visualization Books for Beginners to Advanced will definitely help you to enhance your skills. If you have any doubts or questions, feel free to ask me in the comment section.

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