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 principles of visual design rather than embrace their strength as a necessary aid to effective communication someone approaching a data representation problem often finds it difficult to choose a representation and wouldn’t even know what tools to use or books to read to begin Process of data visualization graphic designers can learn the computer science necessary for visualization, and statisticians can communicate their data more effectively by understanding the visual design principles behind data representation the methods themselves are not new their isolation within individual fields has prevented them from being used together use a process that bridges the individual disciplines, placing the focus and consideration on how data is understood rather than on the viewpoint and tools of each individual field Continued . Process consists of following steps Acquire Parse Filter Mine Represent Refine Interact Acquire Obtain the data, whether from a file on a disk or a source over a network | 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 .
