Presenting Data How to Communicate Your Message Effectively

Presenting Data: How to Communicate Your Message Effectively
By 作者: Ed Swires-Hennessy
ISBN-10 书号: 1118489594
ISBN-13 书号: 9781118489598
Edition 版本: 1
Release Finelybook 出版日期: 2014-10-06
pages 页数: (152

Book Description to Finelybook sorting

A clear easy-to-read guide to presenting your message using statistical data
Poor presentation of data is everywhere; basic principles are forgotten or ignored. As a result, audiences are presented with confusing tables and charts that do not make immediate sense. This book is intended to be read by all who present data in any form.
The author, a chartered statistician who has run many courses on the subject of data presentation, presents numerous examples alongside an explanation of how improvements can be made and basic principles to adopt. He advocates following four key ‘C’ words in all messages: Clear, Concise, Correct and Consistent. Following the principles in the book will lead to clearer, simpler and easier to understand messages which can then be assimilated faster. Anyone from student to researcher, journalist to policy adviser, charity worker to government statistician, will benefit from reading this book. More importantly, it will also benefit the recipients of the presented data.
‘Ed Swires-Hennessy, a recognised expert in the presentation of statistics, explains and clearly describes a set of “principles” of clear and objective statistical communication. This book should be required reading for all those who present statistics.’
Richard Laux, UK Statistics Authority
‘I think this is a fantastic book and hope everyone who presents data or statistics makes time to read it first.’
David Marder, Chief Media Adviser, Office for National Statistics, UK
‘Ed’s book makes his tried-and-tested material widely available to anyone concerned with understanding and presenting data. It is full of interesting insights, is highly practical and packed with sensible suggestions and nice ideas that you immediately want to try out.’
Dr Shirley Coleman, Principal Statistician, Industrial Statistics Research Unit, School of Mathematics and Statistics, Newcastle University, UK


1 Understanding number 1
1.1 Thousands separator 2
1.2 Decimal separator 3
1.3 Level of detail in comparisons 4
1.4 Justification of data 5
1.5 Basic rounding 7
1.6 Effective rounding 9
Notes 16
2 Tables 17
2.1 Position of totals in tables 17
2.2 What is a table? 19
2.3 Reference tables 19
2.4 Summary tables 22
2.5 How tables are read 24
2.6 Layout of data in tables 25
2.7 Capital letters for table titles and headings in tables 29
2.8 Use of bold typeface 30
2.9 Use of gridlines and other lines in tables 30
Notes 31
3 Charts (bar charts, histograms, pie charts, graphs) 33
3.1 How the user interprets charts 33
3.2 Written aims for charts 35
3.3 Scale definition and display 37
3.4 Difference between bar charts and histograms 49
3.5 Pie chart principles 51
3.6 Issues with pie charts 55
3.7 Graph principles 63
3.8 Issues with graphs 64
3.9 Pictogram principles 79
3.10 Comparative charts: Multiple pies, multiple bar charts, double
scale graphs 82
3.11 Graphics 88
3.12 Three-dimensional charts 90
Notes 92
4 Numbers in text 93
4.1 Numbers written as text 94
4.1.1 Correct numbers 94
4.1.2 Clear numbers 94
4.1.3 Concise numbers 95
4.1.4 Consistent numbers 96
4.2 Ordering of data 97
4.3 Technical terms 98
4.4 Plain language 100
4.5 Emotive language 102
4.6 Key messages 103
Notes 105
5 Data presentation on the Internet 107
5.1 The early years 110
5.2 Statistics on CD-ROMs 113
5.3 Data on the Internet 116
5.4 Charts on the Internet 120
5.5 Text on the Internet 128
Notes 130


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