Data Visualization: Additional Resources

For those interested in how the science of perception and vision can be used to improve data visualizations.

Edward Tufte 'wrote the book' on data visualization; this book is one of several that have been influential.

This book offers a comprehensive review of a wide array of technical and analytical concepts that will help users create meaningful reports and dashboards. After reading this book, the reader will be able to: 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; and visualize changes and trends over time.

Delve into the features and functionalities of Tableau from the ground up with this step-by-step guide that has over 50 "follow-me" recipes

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.

This book introduces readers to the fundamentals of creating presentation graphics using R, based on 100 detailed and complete scripts using R's Base Graphics System. Every example uses real data and includes step-by-step explanations of the figures and their programming. This book is intended for all kinds of R users.

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. Provides hands-on instruction using R and ggplot2 and show the "tidyverse" of data analysis tools makes working with R easier and more consistent. Also includes a library of data sets, code, and functions.

Learn about ggplot2 from the person who created it! This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease.

Over 70 recipes to get you started with popular Python libraries based on the principal concepts of data visualization. If you already know about Python programming and want to understand data, data formats, data visualization, and how to use Python to visualize data, then this book is for you.