‘Everyday Data Visualization Design Effective Charts and Dashboards’ is your complete resource for learning design tips that have the potential to enhance the aesthetic of your commonly used data visualizations. It’s written to present timeless principles that are not fixed to certain tools, thereby enabling you to adopt all the strategies explained in the book regardless of the data stack you apply. It will explain how to apply such design fundamentals to align the textual and visual content in charts, reports, and dashboards and make the data story more compelling.
The book focuses on certain fundamental areas of visualization design, beginning with a force of perception to drive a user’s attention. You’ll understand what makes this data distinct at a glance, in addition to the kind of colouring and typography that makes the pictures as effective as they are aesthetic. By including information on distinguishing between the right charts to tell the right story, how to implement interactivity in charts and care for the users, this guide helps create effective and efficient charts.
Importantly, both ‘Everyday Data Visualization Design Effective Charts and Dashboards’ and ‘Modern Accessibility: Guidelines for Designers’ present address contemporary issues in the field and introductory information concerning both colour and typography. It is possible to develop effective displays of data when you know how the human brain perceives things and provides the expected data even if you do not have complete information regarding each feature aspect. The book's goal is to guide the reader through step by step, from the research stage to the publication of the work, and each new step will have some related exercises.
Everyday Data Visualization Design Effective Charts and Dashboards Table of Contents:
- Part 1
- Hello, Data Viz!
- How We Perceive Information
- It's All About the Data
- Part 2
- Choosing Colors
- Typography
- Creating a Good Chart
- Designing for Interactivity
- Part 3
- Research, Design, and Development
- Troubleshooting
Who is this course for?
- To different people, it is relative – for example, knowing about data analysis tools.
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