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Introduction to Data Visualisation
Andy Kirk
出版SAGE Publishing, 2018
ISBN15297542919781529754292
URLhttp://books.google.com.hk/books?id=Jwb0zQEACAAJ&hl=&source=gbs_api
註釋This course teaches learners to master the principles for transforming data into powerful visualisations, with a fresh, creative approach from data visualisation guru, Andy Kirk. This course is perfect for anyone looking to gain an accessible, broad and thorough conceptual understanding of contemporary data visualisation to enhance the creativity and impact of their research. This course will help learners to: Harness color, composition, interactivity, and annotation to tell their data story. Tailor their visualisations to their audience's needs and integrate critical thinking into their design decisions. Determine what is the most important, relevant and interesting content to portray to their audience. MODULE ONE: INTRODUCTION AND FORMULATING YOUR DESIGN BRIEF Instinctive Evaluation Activity Defining Data Visualisation Introducing the Design Workflow The Three Principles of Good Visualisation Design Defining the Context of Your Visualisation Defining the Vision of Your Visualisation MODULE TWO: WORKING WITH DATA AND ESTABLISHING EDITORIAL THINKING Acquiring the Data Examining the Data Transforming the Data Exploring the Data What Is Editorial Thinking? Defining Editorial Perspectives MODULE THREE: DEVELOPING YOUR DESIGN SOLUTION: DATA REPRESENTATION AND INTERACTIVITY Fundamentals of Data Encoding A Gallery of Chart Types Influencing Factors and Considerations for Data Representation Features for Interactivity: Data and Presentation Adjustments Influencing Factors and Considerations for Interactivity MODULE FOUR: DEVELOPING YOUR DESIGN SOLUTION: ANNOTATION, COLOUR AND COMPOSITION Features for Annotation: Project and Chart Annotation Influencing Factors and Considerations for Annotation Applications of Colour: Data Legibility, Editorial Focus, Functional Harmony Influencing Factors and Considerations for Colour Features for Composition: Project and Chart Composition Influencing Factors and Considerations for Composition Reviewing your Data Visualisation Capabilities