{"id":2019,"date":"2014-03-17T07:47:35","date_gmt":"2014-03-17T07:47:35","guid":{"rendered":"https:\/\/www.editage.com\/insights\/presenting-statistical-information-effectively-two-useful-guides\/"},"modified":"2025-04-05T07:24:29","modified_gmt":"2025-04-05T07:24:29","slug":"presenting-statistical-information-effectively-two-useful-guides","status":"publish","type":"post","link":"https:\/\/www.editage.com\/insights\/presenting-statistical-information-effectively-two-useful-guides","title":{"rendered":"Presenting statistical information effectively: two useful guides"},"content":{"rendered":"<p style=\"text-align: justify;\"><span style=\"font-size: 14px;\"><span style=\"font-family: verdana,geneva,sans-serif;\">Research nearly always involves measuring and counting: drawing inferences based on quantitative data is one of the distinguishing characteristics of science.\u00a0\u00a0This article is about two useful guides for the effective presentation of quantitative data, whether as tables or as charts.<\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 14px;\"><span style=\"font-family: verdana,geneva,sans-serif;\"><em>Making data meaningful<\/em>,<strong><sup>1<\/sup><\/strong>\u00a0published by the United Nations Economic Commission for Europe, is in two parts, namely<em>\u00a0Part 1, A guide to writing stories about numbers<\/em>\u00a0(28 pages)<strong><sup>1<\/sup><\/strong>\u00a0and<em>\u00a0Part 2, A guide to presenting statistics<\/em>\u00a0(58 pages).<\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 14px;\"><span style=\"font-family: verdana,geneva,sans-serif;\">The two-part guide is &#8220;intended as a practical tool to help managers, statisticians and media relations officers use text, tables, graphics and other information to bring statistics to life using effective writing techniques&#8221; and is packed with examples that show how the guidelines explained in the book can change poor writing into clear and effective writing. More than a dozen experts\u2014drawn from seven countries and two international organizations\u2014collaborated in writing the guide, which, despite the range of contributors, speaks in a single voice\u2014clear, practical, and authoritative.<\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 14px;\"><span style=\"font-family: verdana,geneva,sans-serif;\"><em>User-friendly presentation of statistics<\/em>,<strong><sup>2<\/sup><\/strong>\u00a0published by PARIS21 (Partnership in Statistics for Development in the 21st Century) and Statistics Norway, is meant not so much for individual researchers as for agencies that publish statistical information. Yet, I recommend it strongly because of three chapters, namely Chapter 2, Comparing numbers: making the numbers talk; Chapter 3, In columns and rows: constructing tables; and Chapter 4, From table to graph: why and how?<\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 14px;\"><span style=\"font-family: verdana,geneva,sans-serif;\">The theme of these chapters is expressed succinctly: &#8220;Statistics gives a numerical description of society by means of numbers put together in tables or graphs. The purpose of placing numbers together in this way is to compare them in order to uncover differences, correlations and trends. To compare numbers \u2013 after having made them as comparable as possible \u2013 is the central theme of all statistics. And user-friendliness means to present the numbers in a way that encourages and enables the users to make comparisons.&#8221;<\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 14px;\"><span style=\"font-family: verdana,geneva,sans-serif;\">Researchers will find both the guides a rewarding reading.<\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 14px;\"><span style=\"font-family: verdana,geneva,sans-serif;\"><strong>1<\/strong>\u00a0<a href=\"http:\/\/www.unece.org\/stats\/documents\/writing\/\" target=\"_blank\" rel=\"noopener\">www.unece.org\/stats\/documents\/writing\/<\/a><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 14px;\"><span style=\"font-family: verdana,geneva,sans-serif;\"><strong>2<\/strong>\u00a0<a href=\"http:\/\/www.ssb.no\/int\/pres_stat\/pres_stat.pdf\" target=\"_blank\" rel=\"noopener\">www.ssb.no\/int\/pres_stat\/pres_stat.pdf<\/a><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><i>Would you like a 1:1 consultation with an expert statistician? Check out Editage\u2019s\u00a0<\/i><a href=\"https:\/\/www.editage.com\/services\/publishing-services-packs\/statistical-analysis\"><i>Statistical Analysis &amp; Review Service<\/i><\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Research nearly always involves measuring and counting: drawing inferences based on quantitative data is one of the distinguishing characteristics of science.\u00a0\u00a0This article is about two useful guides for the effective presentation of quantitative data, whether as tables or as charts. Making data meaningful,1\u00a0published by the United Nations Economic Commission for Europe, is in two parts, [&hellip;]<\/p>\n","protected":false},"author":18,"featured_media":33313,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[2420,2400],"tags":[2567,2585],"new_categories":[],"new_tags":[],"series":[],"class_list":["post-2019","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-analysis","category-results-discussion","tag-author-tools","tag-statistical-reporting"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Presenting statistical information effectively: two useful guides | Editage Insights<\/title>\n<meta name=\"description\" content=\"Research nearly always involves measuring and counting: drawing 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