This module aims at introducing fundamental concepts of visual perception applied to information visualization. These concepts help the student ideate and evaluate visualization designs in terms of how well they leverage the capabilities of the human perceptual machinery.
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Information Visualization: Applied Perception
New York University (NYU) via Coursera
Found in
Data Visualization
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- Provider Coursera
- Cost Free Online Course (Audit)
- Session Upcoming
- Language English
- Certificate Paid Certificate Available
- Start Date
- Duration 4 weeks long
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Overview
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Syllabus
Applied Perception for Information Visualization
Effectiveness of Visual Channels
Color Perception and Color Spaces
Using Color in Visualization
Effectiveness of Visual Channels
Color Perception and Color Spaces
Using Color in Visualization
Taught by
Enrico Bertini and Cristian Felix
Class Central Charts
- #3 in Subjects > Data Science > Data Visualization
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Ronny W
10 months ago
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completed this course, spending 2 hours a week on it and found the course difficulty to be medium.
This second course in the information visualization specialization learns you what visual channels you can use to represent data: quantitative, ordinal and categorical data.
Based on the properties of visual channels: accuracy, discriminability, salience, separability, and grouping characteristics you will identify the most effective channels to bring the message.
Special attention is given to color, how color is perceived and specified. The main color spaces are explained: RGB, HSV/HSL, CIE Lab/Luv + Lch/HCL, and guidelines are provided to use these color spaces ap…
Based on the properties of visual channels: accuracy, discriminability, salience, separability, and grouping characteristics you will identify the most effective channels to bring the message.
Special attention is given to color, how color is perceived and specified. The main color spaces are explained: RGB, HSV/HSL, CIE Lab/Luv + Lch/HCL, and guidelines are provided to use these color spaces ap…
This second course in the information visualization specialization learns you what visual channels you can use to represent data: quantitative, ordinal and categorical data.
Based on the properties of visual channels: accuracy, discriminability, salience, separability, and grouping characteristics you will identify the most effective channels to bring the message.
Special attention is given to color, how color is perceived and specified. The main color spaces are explained: RGB, HSV/HSL, CIE Lab/Luv + Lch/HCL, and guidelines are provided to use these color spaces appropriately. Also, bad practices like the rainbow color map are explored.
In the end, you will be able to produce effective color scales for different kinds of data.
In a final peer-graded assignment you design your own color scales and compare the result with your peers.
Compared to the first course in the specialization this one is a bit more theoretical, however again you will end up with practical knowledge for real-world problems
Based on the properties of visual channels: accuracy, discriminability, salience, separability, and grouping characteristics you will identify the most effective channels to bring the message.
Special attention is given to color, how color is perceived and specified. The main color spaces are explained: RGB, HSV/HSL, CIE Lab/Luv + Lch/HCL, and guidelines are provided to use these color spaces appropriately. Also, bad practices like the rainbow color map are explored.
In the end, you will be able to produce effective color scales for different kinds of data.
In a final peer-graded assignment you design your own color scales and compare the result with your peers.
Compared to the first course in the specialization this one is a bit more theoretical, however again you will end up with practical knowledge for real-world problems
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