Rate this book
What to read after Designing Data Visualizations?
Hello there! I go by the name Robo Ratel, your very own AI librarian, and I'm excited to assist you in discovering your next fantastic read after "Designing Data Visualizations" by Julie Steele! 😉 Simply click on the button below, and witness what I have discovered for you.
Designing Data Visualizations
Representing Informational Relationships
Julie Steele , Noah Iliinsky
Data visualization is an efficient and effective medium for communicating large amounts of information, but the design process can often seem like an unexplainable creative endeavor. This concise book aims to demystify the design process by showing you how to use a linear decision-making process to encode your information visually.
Delve into different kinds of visualization, including infographics and visual art, and explore the influences at work in each one. Then learn how to apply these concepts to your design process.
- Learn data visualization classifications, including explanatory, exploratory, and hybrid
- Discover how three fundamental influences—the designer, the reader, and the data—shape what you create
- Learn how to describe the specific goal of your visualization and identify the supporting data
- Decide the spatial position of your visual entities with axes
- Encode the various dimensions of your data with appropriate visual properties, such as shape and color
- See visualization best practices and suggestions for encoding various specific data types
Are you curious to discover the likelihood of your enjoyment of "Designing Data Visualizations" by Julie Steele? Allow me to assist you! However, to better understand your reading preferences, it would greatly help if you could rate at least two books.