Dancing Data Art Science by Chong (5 results)

Taschenbuch. Condition: Neu. Dancing with the Data: The Art and Science of Data Visualization | Chong Ho Yu | Taschenbuch | 188 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659554032 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Revealing the mysteries of a data set can be quite challenging. Data analysis is about discovering hidden patterns within the data and exploring the plausible 'stories' that can explain those patterns. This book is about employing the art and science of data visualization. Beginning with an overview of what data visualization is and is not, the author introduces a plethora of graphing techniques that can be well-applied to both exploratory and confirmatory data analyses. Organized with a logical, sequential flow, the chapters move from one dimensional to multidimensional visualization examples, that include a rationale for the usefulness when applying them to specific data types. The overarching message to the reader is that, just like the appropriateness of a particular statistical test is tied to the research goal and the data structure, proper data visualization should align with data dimensionality and research objectives. While many texts that are devoted to data analysis focus on hypothesis testing or confirmatory data analysis, this book is a needed guide for creating meaningful and interpretable displays to depict data. 188 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yu Chong HoChong Ho Yu is an Associate Professor of the Department of Psychology and also the University Quantitative Methodology Consultant at Azusa Pacific University, USA. He has a Ph.D. in psychometrics (Arizona State University,.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Revealing the mysteries of a data set can be quite challenging. Data analysis is about discovering hidden patterns within the data and exploring the plausible 'stories' that can explain those patterns. This book is about employing the art and science of data visualization. Beginning with an overview of what data visualization is and is not, the author introduces a plethora of graphing techniques that can be well-applied to both exploratory and confirmatory data analyses. Organized with a logical, sequential flow, the chapters move from one dimensional to multidimensional visualization examples, that include a rationale for the usefulness when applying them to specific data types. The overarching message to the reader is that, just like the appropriateness of a particular statistical test is tied to the research goal and the data structure, proper data visualization should align with data dimensionality and research objectives. While many texts that are devoted to data analysis focus on hypothesis testing or confirmatory data analysis, this book is a needed guide for creating meaningful and interpretable displays to depict data.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 188 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revealing the mysteries of a data set can be quite challenging. Data analysis is about discovering hidden patterns within the data and exploring the plausible 'stories' that can explain those patterns. This book is about employing the art and science of data visualization. Beginning with an overview of what data visualization is and is not, the author introduces a plethora of graphing techniques that can be well-applied to both exploratory and confirmatory data analyses. Organized with a logical, sequential flow, the chapters move from one dimensional to multidimensional visualization examples, that include a rationale for the usefulness when applying them to specific data types. The overarching message to the reader is that, just like the appropriateness of a particular statistical test is tied to the research goal and the data structure, proper data visualization should align with data dimensionality and research objectives. While many texts that are devoted to data analysis focus on hypothesis testing or confirmatory data analysis, this book is a needed guide for creating meaningful and interpretable displays to depict data.