Effective data presentation is an essential skill for anybody wishing to display or publish research results, but when done badly, it can convey a misleading or confusing message. This new addition to the popular “How to” series explains how to present data in journal articles, grant applications or research presentations clearly, accurately and logically, increasing the chances of successful publication.
How to Display Data (HOW - How To)
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"This book offers most excitement and is abound with promise." ( Urology News , May/June 2009) "The book casts a fresh light on many issues related to effective data presentation. The questions raised and ideas offered are thought–provoking, innovative and easily implemental ... .It is a small but powerful book which I firmly believe everyone would enjoy while reading in addition to learning." ( Academici , April 2009) "This book not only provides an enjoyable read, but also it reminds readers how and how not to display data. I strongly recommend this book for both medical researchers and inter–disciplinary readers, including empirical musicology." ( Academici , February 2009) “This text would be an excellent primer for those who have the computer background for producing graphics but who lack training in the presentation of material.” ( The American Statistician , February 2009) “Effective data presentation is an essential skill … .This should be very helpful to the target audience. Good data presentation should contribute to publication and presentation.” (Doody′s Book Reviews)
From the Back Cover
Effective data presentation is an essential skill for anybody wishing to display or publish research results, but when done badly, it can convey a misleading or confusing message. This new addition to the popular “How to” series explains how to present data in journal articles, grant applications or research presentations clearly, accurately and logically, increasing the chances of successful publication. Packed with real examples from scientific literature, this instructive handbook describes appropriate methods for displaying a variety of quantitative information using both graphs and tables, to enhance the interpretation of scientific research. Examples of bad presentation highlight the pitfalls of data display and will ensure that readers never fall into the same traps! Written in a readable and accessible style, How to Display Data is a must–have guide for anyone who needs to present data in journal articles, grant applications, or at research meetings. Clear and accurate presentation of data is an essential part of medical publication. Currently the standard in journals and at conferences is poor. This short and easy–to–use book shows you how to present data clearly and logically, helping you to get your submission accepted. It has plenty of examples of good and poor data display, and the final chapter reviews existing software.
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1 of 1 people found the following review helpful
Format:Paperback
The "How to......" series from BMJ books published by Blackwell, who of course are now Wiley Blackwell are an excellent set of books with a common style and a uniform format. As such many comments and observations are applicable across the range. First and foremost these books are nearly all the same handy size, each a different colour and look good on the shelf.
With the exception of the front cover these books are a world of black and white, even the boxes of importance are a sparkling shade of grey! We are all too aware of the global thought in relation to colour publications: The rainbow is in!!
This book offers the most excitement and is abound with promise. Would it offer up the secrets of the fabled complication free procedure with a 100% success rate? (i.e.: would it teach me how to lie and deceive?) Sadly not, but it did divulge the secrets of scatter plots, regression analysis, ROC and spider plots along with a few other methods of data display which quite honestly sounded like Caribbean cocktails such as Lowess smoothing and Box-whisker plots!
Fortunately this book kicks off with the humble bar chart and progresses on with the invaluable aid of a plethora of examples and diagrams. Each of the nine chapters has a concluding summary and a reference list at the end but there is no denying that for a non academic, this is hard work and undoubtedly falls into the "one chapter at a time" category. A valuable book, but certainly not a joy.
Reviewer: Ian Pearce, Consultant Urological Surgeon.
With the exception of the front cover these books are a world of black and white, even the boxes of importance are a sparkling shade of grey! We are all too aware of the global thought in relation to colour publications: The rainbow is in!!
This book offers the most excitement and is abound with promise. Would it offer up the secrets of the fabled complication free procedure with a 100% success rate? (i.e.: would it teach me how to lie and deceive?) Sadly not, but it did divulge the secrets of scatter plots, regression analysis, ROC and spider plots along with a few other methods of data display which quite honestly sounded like Caribbean cocktails such as Lowess smoothing and Box-whisker plots!
Fortunately this book kicks off with the humble bar chart and progresses on with the invaluable aid of a plethora of examples and diagrams. Each of the nine chapters has a concluding summary and a reference list at the end but there is no denying that for a non academic, this is hard work and undoubtedly falls into the "one chapter at a time" category. A valuable book, but certainly not a joy.
Reviewer: Ian Pearce, Consultant Urological Surgeon.
By D. Greenwood
Format:Paperback
Displaying data clearly is so important, but how many times have we seen charts and tables that we can't make head nor tail of? Written mainly from the perspective of presenting health-related information, the chapters are illustrated with scores of useful examples. The book will be of use to students and researchers on health-related courses, as well as statisticians and information analysts. I've added it to my course reading lists and will be recommending it to students and colleagues. It's written very clearly with no scary formulae or stats speak. This book leaves us with little excuse to continue presenting poor graphs and tables.
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
4.0 out of 5 stars
1 review
4.0 out of 5 stars
Very overpriced but still good
3 Feb 2012
By I Teach Typing
- Published on Amazon.com
Format:Paperback|Amazon Verified Purchase
If you have never read anything about how to make good graphics and tables pick this up. I have been teaching statistics and data visualization for many years and this book does a great job of digesting and summarizing some of the best advice I have seen in other books. It has some of the nicest coverage of tables that I have read. Unfortunately it has a couple weaknesses. It is missing some examples of strong vs weak graphics covered elsewhere (for the best coverage of good vs bad plots see Creating More Effective Graphs) and it is missing any in depth coverage of the grammar of graphics that are popular in analysis packages like SPSS or ggplot2 in R (see ggplot2: Elegant Graphics for Data Analysis (Use R!) if you want to learn about the grammar of graphics with R).
The density of useful information here is great but the cost per page of this book is so high that it is not worth the money. If you are on a tight budget you will be upset at the size (but not the quality) of this book.
The density of useful information here is great but the cost per page of this book is so high that it is not worth the money. If you are on a tight budget you will be upset at the size (but not the quality) of this book.
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