Data Visualization: Design Infographics in Illustrator
Visual Encoding vs. Fixed Chart Types
A course by Marco Giannini , Data journalist and Information Designer
Learn how to communicate complex information through meaningful data-driven images
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- 99% positive reviews (72)
- 4662 students
- Audio: English
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About the video: Visual Encoding vs. Fixed Chart Types
Overview
“In this lesson, I’m going to add a little brick to our overall construction. What if you don’t rely on fixed, recognizable, scaled-and-squared types of charts and diagrams? What if you could customize your chart with free encoding?”
In this video lesson Marco Giannini addresses the topic: Visual Encoding vs. Fixed Chart Types, which is part of the Domestika online course: Data Visualization: Design Infographics in Illustrator. Learn how to communicate complex information through meaningful data-driven images.
Partial transcription of the video
“ Visual Encoding vs. Fixed Chart Types In this lesson, I'll talk about a general topic, how much to rely on fixed chart types and how much to create customized graphics. It may sound quite advanced to someone and it is to a certain extent. This issue is rooted in the basics of information graphics, so it's worth talking about it. When you deal with fixed types like the ones here, the largest part of the problems is already solved for you. The work is laid out like a warp in a weaving machine. Coordinates are outlined into a system. The geometry is fixed. In short, the road is paved and you...”
This transcript is automatically generated, so it may contain mistakes.
Course summary for: Data Visualization: Design Infographics in Illustrator
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Category
Design -
Software
Adobe Illustrator, Adobe Photoshop -
Areas
Infographics, Information Architecture, Information Design
A course by Marco Giannini
Marco Giannini has worked as a data journalist and information designer for over 20 years. In the early part of his career, he worked in the infographic sector of the largest Italian newspaper, La Repubblica working as a designer, despite not studying design. He later taught himself programming and studied code as the data visualization sector progressed. Marco is passionate about discovering ways to connect data with images to make understandable and dynamic designs.
Since he started in his field, Marco has experimented with many types of information visualizations across various projects; from newspapers and magazines, to websites and apps. In 2018 he founded his own agency and creative studio, Dataspoiler, and has since worked with international organizations, communication agencies, publishing groups, and exhibitions. His clients include the IUCN, MSF (Doctors Without Borders), WWF, Aurum Press, and Bracco.
- 99% positive reviews (72)
- 4662 students
- 20 lessons (3h 11m)
- 27 additional resources (12 files)
- Online and at your own pace
- Available on the app
- Audio: English
- English, Spanish, Portuguese, German, French, Italian, Polish, Dutch
- Level: Beginner
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