Data Visualisation: A Handbook for Data-Driven Design First Edition
by Andy Kirk
Never has it been more essential to work in the world of data. Scholars and students need to be able to analyze, design and curate information into useful tools of communication, insight, and understanding. This book is the starting point in learning the process and skills of data visualization, teaching the concepts and skills of how to present data and inspiring effective visual design.
Benefits of this book:
- A flexible step-by-step journey that equips you to achieve great data visualization
- A curated collection of classic and contemporary examples, giving illustrations of good and bad practice
- Examples on every page to give creative inspiration
- Illustrations of good and bad practice show you how to critically evaluate and improve your own work
- Advice and experience from the best designers in the field
- Loads of online practical help, checklists, case studies, and exercises make this the most comprehensive text available
Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures 1st Edition
by Claus O. Wilke
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
Interactive Data Visualization for the Web: An Introduction to Designing with D3 1st Edition
by Scott Murray
Data Visualization: A Practical Introduction 1st Edition
by Kieran Healy
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.
Data Visualization: Charts, Maps, and Interactive Graphics (ASA-CRC Series on Statistical Reasoning in Science and Society) 1st Edition
by Robert Grant
This is the age of data. There are more innovations and more opportunities for interesting work with data than ever before, but there is also an overwhelming amount of quantitative information being published every day. Data visualization has become big business, because communication is the difference between success and failure, no matter how clever the analysis may have been. The ability to visualize data is now a skill in demand across the business, government, NGOs and academia.
Data Visualization: Charts, Maps, and Interactive Graphics give an overview of a wide range of techniques and challenges while staying accessible to anyone interested in working with and understanding data.