TAILIEUCHUNG - Lecture note Data visualization - Chapter 3

This chapter presents the following content: Combination of disciplines, process of data visualization, illustration with example, importance of data visualization, limitations of spreadsheet, interpretation through data visualization, interactive visualization. | Lecture 03 Recap Need for data visualization Importance of data visualization Limitation of spreadsheet Interpretation through data visualization Interactive visualization Outline Combination of disciplines Process of data visualization Illustration with Example Combination of disciplines due to complexity of data using data visualization to provide a meaningful solution requires insights from diverse fields like statistics, data mining, graphic design, and information visualization. however, each field has evolved in isolation from the others visual design is the field of mapping data to a visual form typically does not address how to handle thousands or tens of thousands of items of data data mining techniques have such capabilities, but they are disconnected from the means to interact with the data Continued . software-based information visualization adds building blocks for interacting with and representing various kinds of abstract data these methods undervalue the aesthetic .

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