In Data Sketches, Nadieh Bremer and Shirley Wu document the deeply collaborative, deeply creative process behind 24 unique data visualization projects, spanning 12 different topics. The book provides
Written by sought-after speaker, designer, and researcher Stephanie D. H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate data finding
Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business decisions. Starting with an introduction to data science with Py
This book presents an accessible introduction to data-driven storytelling. Resulting from unique discussions between data visualization researchers and data journalists, it offers an integrated defini
This book is an accessible introduction to data-driven storytelling, resulting from discussions between data visualization researchers and data journalists. This book will be the first to define the t
Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria
Incorporating an innovative focus on data visualization and time series forecasting,Data Mining for Business Intelligence supplies insightful, detailed guidance on fundamental data mining techniques.
Big data is a broad term that defines the structured or unstructured data sets. It is a challenging field which includes analysis, transfer and visualization of data. This book presents in-depth descr
A fresh take on financial data visualization for greater accuracy and understandingVisualizing Financial Data shows you how to design dynamic, best-of-breed visualizations for better communication of
Wring more out of the data with a scientific approach to analysisGraph Analysis and Visualization brings graph theory out of the lab and into the real world. Using sophisticated methods and tools that
A series of business processes within healthcare including data architecture, software, analytics, and data visualization are required to make big data and health analytics possible. In this book some
Information visualization is the act of gaining insight into data, and is carried out by virtually everyone. It is usually facilitated by turning data – often a collection of numbers – into images tha
Learn how to discover and present quantitative truths with data, using the fast-growing data visualization software Tableau. This practical guide takes you step-by-step through a process of converting
This collection of peer-reviewed conference papers provides comprehensive coverage of cutting-edge research in topological approaches to data analysis and visualization. It encompasses the full range
Scientific visualization is concerned with exploring dataand information insuch a way as to gain understanding andinsight into the data. This is a fundamental objective ofmuch scientific investigat
Visualization and analysis tools, techniques, and algorithms have undergone a rapid evolution in recent decades to accommodate explosive growth in data size and complexity and to exploit emerging mult
Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining by Glenn J. Myatt (978-0-470-07471-8), Making Sense of Data II: A Practical Guide to Data Visualization, Advanced D
Practical data design tips from a data visualization expert of the modern ageData doesn t decrease; it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intended
In Chapter 1 the methodological principles of systemization and visualization of multidimensional ecological information for its operational dissemination among potential users are stated. Their reali
There is a lack of an exposition on interdisciplinary and innovative methods of data mining and visualization for biodata. This book fills the gap by introducing an interdisciplinary set of the most r
Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining by Glenn J. Myatt (978-0-470-07471-8) and Making Sense of Data II: A Practical Guide to Data Visualization, Advance
This textbook on visual computing methods and data analysis differs from similar reference volumes by integrating graphic and visualization topics such as subdivision surfaces, scene graphs, shadow ge
This book presents efficient visualization techniques, a prerequisite for the interactive exploration of complex data sets. High performance is demonstrated as a process of devising algorithms for the
OLAP enables users to access information from multidimensional data warehouses almost instantly, to view information in any way they like, and to cleanly specify and carry out sophisticated calculatio
在 AI 迅猛演化的時代，本書提供一套兼顧理論深度與應用實作的完整教材。全書涵蓋四大部分，橫跨人工智慧的歷史發展、生成式 AI 的應用技巧、倫理與社會影響，以及資料探勘的實作導引。由淺入深，涵蓋 AI 三大範式：分別講解知識驅動、模型驅動與資料驅動，建立全貌式理解。生成式 AI 全攻略：詳解人臉辨識、文本生成、影音專案整合等應用，培養內容創作與技術實作能力。社會責任與倫理反思：針對 AI 衝擊的法律、勞動、教育與永生議題，引導學生批判性思考。免寫程式的實作入門：利用 Orange Data Mining 等工具設計直覺操作演練，降低入門門檻。 本書不僅適合資訊相關科系授課使用，亦為教師設計跨領域課程、以及自學者掌握 AI 應用的強力夥伴。從理論基礎到系統安裝，從社會洞察到內容生成，本書是通往 AI 實踐力與批判力的關鍵橋梁。
