Data Visualization -- Volume I: Recent Trends and Applications Using Conventional and Big Data
by
Amar Sahay
Data visualization involves graphical and visual tools used in data analysis and decision making. The emphasis in this book is on recent trends and applications of visualization tools using conventional and big data. These tools are widely used in data visualization and quality improvement to analyze, enhance, and improve the quality of products and services. Data visualization is an easy way to obtain a first look at the data visually. The book provides a collection of visual and graphical tools widely used to gain an insight into the data before applying more complex analysis. The focus is on the key application areas of these tools including business process improvement, business data analysis, health care, finance, manufacturing, engineering, process improvement, and Lean Six Sigma. The key areas of application include data and data analysis concepts, recent trends in data visualization and #65533;Big Data,#65533; widely used charts and graphs and their applications, analysis of the relationships between two or more variables graphically using scatterplots, bubble graphs, matrix plots, etc., data visualization with big data, computer applications and implementation of widely used graphical and visual tools, and computer instructions to create the graphics presented along with the data files.
Data Visualization -- Volume II: Uncovering the Hidden Pattern in Data Using Basic and New Quality Tools
by
Amar Sahay
This book discusses data and information visualization techniques-the decision-making tools with applications in health care, finance, manufacturing engineering, process improvement, product design, and others. These tools are an excellent means of viewing the current state of the process and improving them. The initial chapters discuss data analysis, the current trends in visualization, the concepts of systems and processes from which data are collected. The second part is devoted to quality tools-a set of graphical and information visualization tools in data analysis, decision-making, and Lean Six-Sigma quality. The eight basic tools of quality discussed are the Process Maps, Check Sheets, Histograms, Scatter Diagrams, Run Charts, Control Charts, Cause-and-Effect Diagrams, and Pareto Charts. The new quality tools presented are the Affinity, Tree, and Matrix Diagrams, Interrelationship Digraph, Prioritizing Matrices, Process Decision Program Chart, and Activity Network Diagram along with Quality Function Deployment (QFD) and Multivari Charts.
Fundamentals of Data Visualization
by
Claus O. Wilke
Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value Understand the importance of redundant coding to ensure you provide key information in multiple ways Use the book's visualizations directory, a graphical guide to commonly used types of data visualizations Get extensive examples of good and bad figures Learn how to use figures in a document or report and how employ them effectively to tell a compelling story
Presenting Data: How to Communicate Your Message Effectively
by
Ed Swires-Hennessy
A clear easy-to-read guide to presenting your message usingstatistical data Poor presentation of data is everywhere; basic principles areforgotten or ignored. As a result, audiences are presented withconfusing tables and charts that do not make immediate sense. Thisbook is intended to be read by all who present data in anyform. The author, a chartered statistician who has run many courses onthe subject of data presentation, presents numerous examplesalongside an explanation of how improvements can be made and basicprinciples to adopt. He advocates following four key?C? words in all messages: Clear, Concise, Correct andConsistent. Following the principles in the book will lead toclearer, simpler and easier to understand messages which can thenbe assimilated faster. Anyone from student to researcher,journalist to policy adviser, charity worker to governmentstatistician, will benefit from reading this book. Moreimportantly, it will also benefit the recipients of the presenteddata. ?Ed Swires-Hennessy, a recognised expert in thepresentation of statistics, explains and clearly describes a set of?principles? of clear and objective statisticalcommunication. This book should be required reading for all thosewho present statistics.? Richard Laux, UK Statistics Authority ?I think this is a fantastic book and hope everyone whopresents data or statistics makes time to read itfirst.? David Marder, Chief Media Adviser, Office for NationalStatistics, UK ?Ed?s book makes his tried-and-tested materialwidely available to anyone concerned with understanding andpresenting data. It is full of interesting insights, is highlypractical and packed with sensible suggestions and nice ideas thatyou immediately want to try out.? Dr Shirley Coleman, Principal Statistician, IndustrialStatistics Research Unit, School of Mathematics and Statistics,Newcastle University, UK
Storytelling with Data: A Data Visualization Guide for Business Professionals
by
Cole Nussbaumer Knaflic
Fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. Grounded in theory, but made accessible through numerous real-world examples.
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