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It allows trends and patterns in quantitative data to be seen more easily. The ultimate purpose of data visualization is to facilitate better decisions and actions. With the rise in the amount of data available, it is important tobe able to interpret increasingly large batches of information, and data visualization is a strong tool for the job. Use of good data visualizations is essential to make impactful health reports. This tool provides practical guidance on how to make good data visualizations to support convincing policy messages.  \nThis guidance document is part of the WHO Regional Office for Europe’s work to support Member States in strengthening their health information systems. Helping countries to produce solid health intelligence and institutionalized mechanisms for evidence-informed policy-making has traditionally been an important focus of WHO’s work and continues to be so under the European Programme of Work 2020–2025.  \nKeywords:  \nDATA VISUALIZATION, DATA DISPLAY, COMMUNICATION, DECISION MAKING  \nDocument number: WHO/EURO:2021-1998-41753-57181  \n© World Health Organization 2021  \nSome rights reserved. This work is available under the Creative Commons Attribution-NonCommercial-ShareAlike  \n3.0 IGO licence (CC BY-NC-SA 3.0 IGO; [https://creativecommons.org/licenses/by-nc-sa/3.0/igo](https://creativecommons.org/licenses/by-nc-sa/3.0/igo)) .  \nUnder the terms of this licence, you may copy, redistribute and adapt the work for non-commercial purposes, provided the work is appropriately cited, as indicated below. In any use of this work, there should be no suggestion that WHO endorses any specific organization, products or services. The use of the WHO logo is not permitted. If you adapt the work, then you must license your work under the same or equivalent Creative Commons licence. If you create a translation of this work, you should add the following disclaimer along with the suggested citation: “This translation was not created by the World Health Organization (WHO) . WHO is not responsible for the content or accuracy of this translation. The original English edition shall be the binding and authentic edition: Tools for making good data  \nvisualizations: the art of charting. Copenhagen: WHO Regional Office for Europe; 2021”.  \nAny mediation relating to disputes arising under the licence shall be conducted in accordance with the mediation rules of the World Intellectual Property Organization ( [http://www.wipo.int/amc/en/mediation/rules/](http://www.wipo.int/amc/en/mediation/rules/)) .  \nSuggested citation. Tools for making good data visualizations: the art of charting. Copenhagen: WHO Regional Office for Europe; 2021. Licence: CC BY-NC-SA 3.0 IGO.  \nCataloguing-in-Publication (CIP) data. CIP data are available at [http://apps.who.int/iris](http://apps.who.int/iris).  \nSales, rights and licensing. To purchase WHO publications, see [http://apps.who.int/bookorders](http://apps.who.int/bookorders. To submit)[. To submit](http://apps.who.int/bookorders. To submit) requests for  \ncommercial use and queries on rights and licensing, see [http://www.who.int/about/licensing](http://www.who.int/about/licensing).  \nThird-party materials. If you wish to reuse material from this work that is attributed to a third party, such as tables, figures or images, it is your responsibility to determine whether permission is needed for that reuse and to obtain permission from the copyright holder. The risk of claims resulting from infringement of any third-party-owned component in the work rests solely with the user.  \nGeneral disclaimers. The designations employed and the presentation of the material in this publication do not imply the expression of any opi","cbCain0eyLCCtiJv","https://ap.wps.com/l/cbCain0eyLCCtiJv","pdf",2051746,48,"English","# Contents\n## ACKNOWLEDGEMENTS\n## AIM OF THIS GUIDANCE\n## NOTE ON THE FIGURES\n## INTRODUCTION: DATA VISUALIZATION AND WHY IT IS IMPORTANT\n## Reader’s guide\n## 1. WHY DATA VISUALIZATION IS NEEDED\n## 1.1 The power of visualization: an example","[{\"question\":\"What is the main purpose of data visualization in this guidance?\",\"answer\":\"To explore, make sense of, and communicate quantitative data so that trends and patterns are easier to understand and support better decisions and actions.\"},{\"question\":\"Why is data visualization important as data volumes increase?\",\"answer\":\"Because it helps interpret increasingly large batches of information, enabling clearer understanding of complex quantitative datasets.\"},{\"question\":\"How does the document connect data visualization to health and policy work?\",\"answer\":\"It highlights that good visualizations are essential for impactful health reports and provides practical guidance to support convincing policy messages.\"}]","Tools for making good data visualizations - the art of charting | PDF",1792990575,121]