The Experts below are selected from a list of 276 Experts worldwide ranked by ideXlab platform
Justin Starren - One of the best experts on this subject based on the ideXlab platform.
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design features of graphs in health risk communication a systematic review
Journal of the American Medical Informatics Association, 2006Co-Authors: Jessica S Ancker, Yalini Senathirajah, Rita Kukafka, Justin StarrenAbstract:This review describes recent experimental and focus group research on graphics as a method of communication about quantitative health risks. Some of the studies discussed in this review assessed effect of graphs on quantitative reasoning, others assessed effects on behavior or behavioral intentions, and still others assessed viewers' likes and dislikes. Graphical features that improve the accuracy of quantitative reasoning appear to differ from the features most likely to alter behavior or intentions. For example, graphs that make part-to-whole relationships available visually may help people attend to the relationship between the numerator (the number of people affected by a hazard) and the denominator (the entire population at risk), whereas graphs that show only the numerator appear to inflate the perceived risk and may induce risk-averse behavior. Viewers often preferred design features such as visual simplicity and familiarity that were not associated with accurate quantitative judgments. Communicators should not assume that all graphics are more intuitive than text; many of the studies found that patients' interpretations of the graphics were dependent upon expertise or instruction. Potentially useful directions for continuing research include interactions with educational level and numeracy and successful ways to communicate uncertainty about risk.
Ashutosh Nandeshwar - One of the best experts on this subject based on the ideXlab platform.
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Tableau Data Visualization Cookbook
2013Co-Authors: Ashutosh NandeshwarAbstract:Over 70 recipes for creating visual stories with your data using Tableau Overview Quickly create impressive and effective graphics which would usually take hours in other tools Lots of illustrations to keep you on track Includes examples that apply to a general audience In Detail You know the feeling when you are asked to change or add a certain data point in your graph at the last minute. Usually, you have to scramble to complete the project and risk accuracy; this is not so with Tableau, however. Tableau is a revolutionary toolkit that lets you simply and effectively create high quality data visualizations. "Tableau Data Visualization Cookbook" will show you the exact steps required to generate simple to complex graphics. Whether they are pie charts or box plots, you can create such graphics with ease and confidence; no more searching for scripts or laborious Excel hacks. This book will help you make the most of Tableau and show you how to finish your projects quicker using this toolkit. In this book youll start with getting your data into Tableau, move onto generating progressively complex graphics, and end with the finishing touches and packaging your work for distribution. This book is filled with practical recipes to help you create filled maps, use custom markers, add slider selectors, and create dashboards. You will learn how to manipulate data in various ways by applying various filters, logic, and calculating various aggregate measures. Then, we will create animated graphs and provide search box and drop-down selectors to users. This book will help you to create stunning graphics in very short amount of time. If you want to effortlessly create beautiful visualizations of data then "Tableau Data Visualization Cookbook" is for you! What you will learn from this book Forecast with trend lines Manipulate and transform data Import data from various sources Create filled maps and use any shape file Share your work easily Create dashboards and scorecards Format and finish the graphic Observe statistical distributions Approach This Cookbook contains step-by-step instructions for Tableau users to create effective graphics. The book is designed in such a way that you can refer to it chapter by chapter; you can look at the list of recipes and read them in no particular order. Who this book is written for Youll gain the most from this book if you have basic understanding of various chart types and of their importance. Knowing when to employ a certain graphic will be equally useful. This book will get you up to speed if you just started using Tableau. Youll find this book useful if you spend a lot of time conducting data analysis and creating reports.
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Tableau Data Visualization Cookbook
2013Co-Authors: Ashutosh NandeshwarAbstract:Over 70 recipes for creating visual stories with your data using Tableau Overview Quickly create impressive and effective graphics which would usually take hours in other tools Lots of illustrations to keep you on track Includes examples that apply to a general audience In Detail You know the feeling when you are asked to change or add a certain data point in your graph at the last minute. Usually, you have to scramble to complete the project and risk accuracy; this is not so with Tableau, however. Tableau is a revolutionary toolkit that lets you simply and effectively create high quality data visualizations. "Tableau Data Visualization Cookbook" will show you the exact steps required to generate simple to complex graphics. Whether they are pie charts or box plots, you can create such graphics with ease and confidence; no more searching for scripts or laborious Excel hacks. This book will help you make the most of Tableau and show you how to finish your projects quicker using this toolkit. In this book youll start with getting your data into Tableau, move onto generating progressively complex graphics, and end with the finishing touches and packaging your work for distribution. This book is filled with practical recipes to help you create filled maps, use custom markers, add slider selectors, and create dashboards. You will learn how to manipulate data in various ways by applying various filters, logic, and calculating various aggregate measures. Then, we will create animated graphs and provide search box and drop-down selectors to users. This book will help you to create stunning graphics in very short amount of time. If you want to effortlessly create beautiful visualizations of data then "Tableau Data Visualization Cookbook" is for you! What you will learn from this book Forecast with trend lines Manipulate and transform data Import data from various sources Create filled maps and use any shape file Share your work easily Create dashboards and scorecards Format and finish the graphic Observe statistical distributions Approach This Cookbook contains step-by-step instructions for Tableau users to create effective graphics. The book is designed in such a way that you can refer to it chapter by chapter; you can look at the list of recipes and read them in no particular order. Who this book is written for Youll gain the most from this book if you have basic understanding of various chart types and of their importance. Knowing when to employ a certain graphic will be equally useful. This book will get you up to speed if you just started using Tableau. Youll find this book useful if you spend a lot of time conducting data analysis and creating reports.
Ge Shiqiang - One of the best experts on this subject based on the ideXlab platform.
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application research of interactive packaging design based on computer graphics technology and gis model
International Conference on Computer Vision, 2020Co-Authors: Yan Hong, Ge ShiqiangAbstract:With the development of computer network technology and computer graphics processing technology, computer graphics processing technology based on GIS models has received more and more attention from professionals in the field of graphic image design. This paper studies the construction of visual data mining model, combined with the specific requirements of packaging design, and the rational use of computer graphics technology, is conducive to enhancing the rationality of packaging design. Based on this, this article builds a GIS model to process two-dimensional and three-dimensional graphics, and discusses the relationship between computer graphics technology and packaging design as necessary to provide the necessary reference for related research
Jessica S Ancker - One of the best experts on this subject based on the ideXlab platform.
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design features of graphs in health risk communication a systematic review
Journal of the American Medical Informatics Association, 2006Co-Authors: Jessica S Ancker, Yalini Senathirajah, Rita Kukafka, Justin StarrenAbstract:This review describes recent experimental and focus group research on graphics as a method of communication about quantitative health risks. Some of the studies discussed in this review assessed effect of graphs on quantitative reasoning, others assessed effects on behavior or behavioral intentions, and still others assessed viewers' likes and dislikes. Graphical features that improve the accuracy of quantitative reasoning appear to differ from the features most likely to alter behavior or intentions. For example, graphs that make part-to-whole relationships available visually may help people attend to the relationship between the numerator (the number of people affected by a hazard) and the denominator (the entire population at risk), whereas graphs that show only the numerator appear to inflate the perceived risk and may induce risk-averse behavior. Viewers often preferred design features such as visual simplicity and familiarity that were not associated with accurate quantitative judgments. Communicators should not assume that all graphics are more intuitive than text; many of the studies found that patients' interpretations of the graphics were dependent upon expertise or instruction. Potentially useful directions for continuing research include interactions with educational level and numeracy and successful ways to communicate uncertainty about risk.
Colleen A Mchorney - One of the best experts on this subject based on the ideXlab platform.
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frequency or probability a qualitative study of risk communication formats used in health care
Medical Decision Making, 2001Co-Authors: Marilyn M Schapira, Ann B Nattinger, Colleen A MchorneyAbstract:Background. The communication of probabilistic outcomes is an essential aspect of shared medical decision making.Methods. The authors conducted a qualitative study using focus groups to evaluate the response of women to various formats used in the communication of breast cancer risk.Findings. Graphic discrete frequency formats using highlighted human figures had greater salience than continuous probability formats using bar graphs. Potential biases in the estimation of risk magnitude were associated with the use of highlighted human figures versus bar graphs and the denominator size in graphics using highlighted human figures. The presentation of uncertainty associated with risk estimates caused some to loose trust in the information, whereas others were accepting of uncertainty in scientific data.Conclusion. The qualitative study identified new constructs with regard to how patients process probabilistic information. Further research in the clinical setting is needed to provide a theoretical justificatio...
