Book (Practical) Information science From Data Collection and Transformation to Understanding All Basics of Data Visualization to Support for Visualization and Data Analysis / Yuichi Yazaki

※Please note that product information is not in full comprehensive meaning because of the machine translation.
Japanese title: 単行本(実用) 情報科学 データ可視化の基本が全部わかる本 収集・変換からビジュアライゼーション・データ分析支援まで / 矢崎裕一
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Item number: BO4658496
Released date: 28 Aug 2024
Maker: Shoeisha Co.

Product description ※Please note that product information is not in full comprehensive meaning because of the machine translation.

Information Science
Capturing insights and insights from a sea of dataData visualization is an essential skill for deriving insights that are useful for decision-making from vast amounts of data. At the same time, it can also be used as a communication technique to convey knowledge and persuade people outside of our field of expertise. This book integrates the knowledge of data visualization distributed in various fields such as information design, computer science, data science, statistics, semiology, interaction design, and storytelling, and organizes it into useful contents at the forefront of business. The author, who has been involved in the practice and dissemination of data visualization for more than 20 years, explains in an easy-to-understand manner everything from the essential basic knowledge to the workflow and how to practice visualization in practice, and how to select the best chart. The content is tool-free and programming language-independent, so it leads to an essential understanding. It is a book recommended especially for the following people : - Data analysis practitioners - UI / UX designers, engineers, product manager, project managers - What is data visualization? Chapter 3 - What fields are used? Chapter 4 Chart Grammar Chapter 5 3-Layer Model of Visualization Representation Chapter 6 Colors Chapter 7 Communication Model Chapter 8 Workflow Chapter 9 Goal Setting Chapter 10 Task Abstraction Chapter 11 Basic Knowledge of Data - Chapter 12 Practical Knowledge of Data - Chapter 10 Task Abstraction Chapter 11 Basic Knowledge of Data - Chapter 12 Practical Knowledge of Data - Chapter 10 Task Abstraction Chapter 11 Basic Knowledge of Data - Chapter 12 Practical Knowledge of Data - Chapter 11 How Many - Chapter 12 Practical Knowledge of Data - Chapter 11 Classification of Visualization Representations Chapter 14 Showing How Many - Chapter 15 Showing When - Chapter 17 Showing Where - Chapter 18 Showing Relationships - Chapter 19 Interactive Technologies Chapter 20 Improving Data Visualization Layout and Space Usage Chapter 21 Values and Principles Principles