Synopses & Reviews
This step-by-step guide is ideal whether youre a designer or visual artist with no programming experience, a reporter exploring the new frontier of data journalism, or anyone who wants to visualize and share data.
- Dynamically generate web page elements from your data—and choose visual encoding rules to style them
- Create bar charts, scatter plots, pie charts, stacked bar charts, and force-directed layouts
- Use smooth, animated transitions to show changes in your data
- Introduce interactivity to help users explore data through different views
- Create customized geographic maps with data
- Explore hands-on with downloadable code and over 100 examples
Interactive Data Visualization for the Web makes these skills available at an introductory level for designers and visual artists without programming experience, journalists interested in the emerging data journalism processes, and others keenly interested in visualization and publicly available data sources.
- Get a practical introduction to data visualization, accessible for beginners
- Focus on web-based tools that help you publish your creations quickly to a wide audience
- Learn about interactivity so you can engage users in exploring your data
About the Author
Scott Murray is a code artist who writes software to create data visualizations and other interactive phenomena. His work incorporates elements of interaction design, systems design, and generative art.
Scott is an Assistant Professor of Design at the University of San Francisco, where he teaches data visualization and interaction design. He is a contributor to Processing (processing.org), and he teaches workshops on creative coding.
Scott earned an A.B. from Vassar College and an M.F.A. from the Dynamic Media Institute at the Massachusetts College of Art and Design. His work can be seen at alignedleft.com.
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