7 Data Visualizations You're Not Using Enough
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Discover Materials Infographic Challenge
Website: www.discovermaterials.uk Twitter: @DiscovMaterials Instagram: @discovermaterials Email: [email protected] Discover Materials Infographic Challenge The Challenge: We would like you to produce an infographic that highlights and explores a material that has been important to you during the pandemic. We will be awarding prizes for the top two infographics based upon the following criteria: visual appeal content (facts/depth/breadth) range of sources Entries must be submitted to: [email protected] by 9pm (BST) on Sunday 2nd August and submitted as a picture file. Please include your name, as the author of the infographic, within the image. In submitting the infographic to be judged, you are agreeing that the graphic can be shared by Discover Materials more widely. Introduction: An infographic provides us with a short, interesting and timely manner to communicate a complex idea with the wider public. An important aspect of using an infographic is that our target is to make something with high shareability and this can be achieved by telling a good story with a design that conveys data in a manner that is easily interpreted, as highlighted in Figure 1. In this challenge we want you to consider a material that has been important in the pandemic. There are a huge range of materials that have been vitally important to us all during these chaotic and challenging times. We could imagine materials that have been important in personal protection & healthcare, materials that Figure 1: The overlapping aspects of a good infographic enable our new forms of engagement and https://www.flickr.com/photos/dashburst/8448339735 communication in the digital world, or the ‘day- to-day’ materials that we rely upon and without which we would find modern life incredibly difficult. -
Visual Analytic Tools and Techniques in Population Health and Health Services Research: Scoping Review
JOURNAL OF MEDICAL INTERNET RESEARCH Chishtie et al Review Visual Analytic Tools and Techniques in Population Health and Health Services Research: Scoping Review Jawad Ahmed Chishtie1,2,3,4, MSc, MD; Jean-Sebastien Marchand5, PhD; Luke A Turcotte2,6, PhD; Iwona Anna Bielska7,8, PhD; Jessica Babineau9, MLIS; Monica Cepoiu-Martin10, PhD, MD; Michael Irvine11,12, PhD; Sarah Munce1,4,13,14, PhD; Sally Abudiab1, BSc; Marko Bjelica1,4, MSc; Saima Hossain15, BSc; Muhammad Imran16, MSc; Tara Jeji3, MD; Susan Jaglal15, PhD 1Rehabilitation Sciences Institute, Faculty of Medicine, University of Toronto, Toronto, ON, Canada 2Advanced Analytics, Canadian Institute for Health Information, Toronto, ON, Canada 3Ontario Neurotrauma Foundation, Toronto, ON, Canada 4Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada 5Universite de Sherbrooke, Quebec, QC, Canada 6School of Public Health and Health Systems, University of Waterloo, Waterloo, ON, Canada 7Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada 8Centre for Health Economics and Policy Analysis, McMaster University, Hamilton, ON, Canada 9Library & Information Services, University Health Network, Toronto, ON, Canada 10Data Intelligence for Health Lab, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada 11Department of Mathematics, University of British Columbia, Vancouver, BC, Canada 12British Columbia Centre for Disease Control, Vancouver, BC, Canada 13Department of Occupational Science and Occupational -
Visual Literacy of Infographic Review in Dkv Students’ Works in Bina Nusantara University
VISUAL LITERACY OF INFOGRAPHIC REVIEW IN DKV STUDENTS’ WORKS IN BINA NUSANTARA UNIVERSITY Suprayitno School of Design New Media Department, Bina Nusantara University Jl. K. H. Syahdan, No. 9, Palmerah, Jakarta 11480, Indonesia [email protected] ABSTRACT This research aimed to provide theoretical benefits for students, practitioners of infographics as the enrichment, especially for Desain Komunikasi Visual (DKV - Visual Communication Design) courses and solve the occurring visual problems. Theories related to infographic problems were used to analyze the examples of the student's infographic work. Moreover, the qualitative method was used for data collection in the form of literature study, observation, and documentation. The results of this research show that in general the students are less precise in the selection and usage of visual literacy elements, and the hierarchy is not good. Thus, it reduces the clarity and effectiveness of the infographic function. This is the urgency of this study about how to formulate a pattern or formula in making a work that is not only good and beautiful but also is smart, creative, and informative. Keywords: visual literacy, infographic elements, Visual Communication Design, DKV INTRODUCTION Desain Komunikasi Visual (DKV - Visual Communication Design) is a term portrayal of the process of media in communicating an idea or delivery of information that can be read or seen. DKV is related to the use of signs, images, symbols, typography, illustrations, and color. Those are all related to the sense of sight. In here, the process of communication can be through the exploration of ideas with the addition of images in the form of photos, diagrams, illustrations, and colors. -
A Visual Technique to Analyze Flow of Information in a Machine Learning System
A Visual Technique to Analyze Flow of Information in a Machine Learning System Abon Chaudhuri, Walmart Labs, Sunnyvale, CA, USA Abstract dition to statistical analysis, the use of visual analytics to answer Machine learning (ML) algorithms and machine learning these questions effectively is becoming increasingly popular. based software systems implicitly or explicitly involve complex Going one step deeper, we observe that the flow of infor- flow of information between various entities such as training data, mation across various entities can often be formulated as joint or feature space, validation set and results. Understanding the sta- conditional probability distributions. A few examples are: dis- tistical distribution of such information and how they flow from tribution of class labels in the training data, conditional distribu- one entity to another influence the operation and correctness of tion feature values given a label, comparison between distribution such systems, especially in large-scale applications that perform of classes in test and training data. Statistical measures such as classification or prediction in real time. In this paper, we pro- mean and variance have well-known limitations in understand- pose a visual approach to understand and analyze flow of infor- ing distributions. On the other hand, visualization based tech- mation during model training and serving phases. We build the niques allow a human expert to analyze information at different visualizations using a technique called Sankey Diagram - con- levels of granularity. To give a simple example, a histogram can ventionally used to understand data flow among sets - to address be used to examine different sub-ranges of a probability distribu- various use cases of in a machine learning system. -
Go with the Flow: Sankey Diagrams Illustrate Energy Economy
Narrative: In this EcoWest presentation, we break down energy trends in the U.S. and Western states by using a graphic known as a Sankey diagram. Energy flows through everything so it’s only fitting to use this type of flow chart to depict our complex energy economy. 1 Narrative: Sankey diagrams are named after an Irish military officer who used the graphic in 1898 in a publication on steam engines. Since then, Sankey’s diagrams have won a dedicated following among data visualization nerds. The graphics summarize flows through a system by varying the width of lines according to the magnitude of energy, water, or some other commodity. Source: Wikipedia.org URL: http://en.wikipedia.org/wiki/Matthew_Henry_Phineas_Riall_Sankey 2 Narrative: One of the earliest and most famous examples of the form illustrates Napoleon’s disastrous Russian campaign in the early 19th century. Source: Napoleon's retreat from Moscow, by Adolph Northen (1828–1876) URL: http://en.wikipedia.org/wiki/File:Napoleons_retreat_from_moscow.jp g 3 Narrative: Created by Charles Joseph Minard, a French civil engineer, the graphic depicts the army’s movement across Europe and shows how their ranks were reduced from 422,000 troops in June 1812, when they invaded Russia, to just 10,000, when the remnants of the force staggered back into Poland after retreating through a brutal winter. Data visualization guru Edward Tufte says it’s “probably the best statistical graphic ever drawn.” Source: Wikipedia.org URL: http://en.wikipedia.org/wiki/Charles_Joseph_Minard 4 Narrative: Sankey diagrams created by the Lawrence Livermore National Laboratory depict both the source and use of energy. -
Identifying Students' Progress and Mobility Patterns in Higher
ORAN, MARTIN, KLYMKOWSKY, STUBBS 1 Identifying Students’ Progress and Mobility Patterns in Higher Education Through Open-Source Visualization Ali Oran, Andrew Martin, Michael Klymkowsky, and Robert Stubbs Abstract For ensuring students’ continuous achievement of academic excellence, higher education institutions commonly engage in periodic and critical revision of its academic programs. Depending on the goals and the resources of the institution, these revisions can focus only on an analysis of retention-graduation rates of different entry cohorts over the years, or survey results measuring students level of satisfaction in their programs. They can also be more comprehensive requiring an analysis of the content, scope, and alignment of a program’s curricula, for improving academic excellence. The revisions require the academic units to collaborate with university’s data experts, commonly the Institutional Research Office, to gather the needed information. The information for departments’ faculty and decision makers should be presentable in a highly-informative yet easily-interpretable manner, so that the review committee can quickly notice areas of improvement and take actions afterwards. In this study, we discuss the development and practical use of a visual that was developed with these key points in mind. The visuals, referred by us as “Students’ Progress Visuals”, are based on the Sankey diagram and provide information on students’ progress and mobility patterns in an academic unit over time in an easily understandable format. They were developed using open source software, and recently began to be used by several departments of our research intensive higher-ed institution for academic units’ review processes, which includes members of the campus community and external area experts. -
Application of Various Open Source Visualization Tools for Effective Mining of Information from Geospatial Petroleum Data
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-5, 2018 ISPRS TC V Mid-term Symposium “Geospatial Technology – Pixel to People”, 20–23 November 2018, Dehradun, India APPLICATION OF VARIOUS OPEN SOURCE VISUALIZATION TOOLS FOR EFFECTIVE MINING OF INFORMATION FROM GEOSPATIAL PETROLEUM DATA N. D. Gholba 1, Arun Babu 1 *, S. Shanmugapriya 1, Abhishek Singh 1, Ashutosh Srivastava 2, Sameer Saran 2 1 M. Tech Students, Indian Institute of Remote Sensing, Dehradun, Uttrakhand, India – (guava.iirs, arunlekshmi1994, priya.iirs2017, abhisheksingh2441)@gmail.com 2 Geoinformatics Department, Indian Institute of Remote Sensing, Dehradun, Uttrakhand, India – (asrivastava, sameer)@iirs.gov.in Commission V, WG V/8 KEYWORDS: Open Source Geodata Visualization, Data Mining, Global Petroleum Statistics, QGIS, R, Sankey Maps ABSTRACT: This study emphasizes the use of various tools for visualizing geospatial data for facilitating information mining of the global petroleum reserves. In this paper, open-source data on global oil trade, from 1996 to 2016, published by British Petroleum was used. It was analysed using the shapefile of the countries of the world in the open-source software like StatPlanet, R and QGIS. Visualizations were created using different maps with combinations of graphics and plots, like choropleth, dot density, graduated symbols, 3D maps, Sankey diagrams, hybrid maps, animations, etc. to depict the global petroleum trade. Certain inferences could be quickly made like, Venezuela and Iran are rapidly rising as the producers of crude oil. The strong-hold is shifting from the Gulf countries since China, Sudan and Kazakhstan have shown a high rate of positive growth in crude reserves. -
Economy-Wide Material Flow Accounts Handbook – 2018 Edition
Economy-wide material flow accounts HANDBOOK 2018 edition Economy-wide material flow accounts flow material Economy-wide 2 018 edition 018 MANUALS AND GUIDELINES Economy-wide material flow accounts HANDBOOK 2018 edition Manuscript completed in June 2018 Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use that might be made of the following information. Luxembourg: Publications Office of the European Union, 2018 © European Union, 2018 Reproduction is authorized for non-commercial purposes only, provided the source is acknowledged. The reuse policy of European Commission documents is regulated by Decision 2011/833/EU (OJ L 330, 14.12.2011, p. 39). Copyright for the photographs: Cover © Vladimir Wrangel/Shutterstock For any use or reproduction of photos or other material that is not under the EU copyright, permission must be sought directly from the copyright holders. For more information, please consult: http://ec.europa.eu/eurostat/about/policies/copyright Theme: Environment and energy Collection: Manuals and guidelines The opinions expressed herein are those of the author(s) only and should not be considered as representative of the official position of the European Commission Neither the European Union institutions and bodies nor any person acting on their behalf may be held responsible for the use which may be made of the information contained herein ISBN 978-92-79-88337-8 ISSN 2315-0815 doi: 10.2785/158567 Cat. No: KS-GQ-18-006-EN-N Preface Preface Economy-wide material flow accounts (EW-MFA) are a statistical accounting framework describing the physical interaction of the economy with the natural environment and the rest of the world economy in terms of flows of materials. -
Maps and Diagrams. Their Compilation and Construction
~r HJ.Mo Mouse andHR Wilkinson MAPS AND DIAGRAMS 8 his third edition does not form a ramatic departure from the treatment of artographic methods which has made it a standard text for 1 years, but it has developed those aspects of the subject (computer-graphics, quantification gen- erally) which are likely to progress in the uture. While earlier editions were primarily concerned with university cartography ‘ourses and with the production of the- matic maps to illustrate theses, articles and books, this new edition takes into account the increasing number of professional cartographer-geographers employed in Government departments, planning de- partments and in the offices of architects pnd civil engineers. The authors seek to ive students some idea of the novel and xciting developments in tools, materials, echniques and methods. The growth, mounting to an explosion, in data of all inds emphasises the increasing need for discerning use of statistical techniques, nevitably, the dependence on the com- uter for ordering and sifting data must row, as must the degree of sophistication n the techniques employed. New maps nd diagrams have been supplied where ecessary. HIRD EDITION PRICE NET £3-50 :70s IN U K 0 N LY MAPS AND DIAGRAMS THEIR COMPILATION AND CONSTRUCTION MAPS AND DIAGRAMS THEIR COMPILATION AND CONSTRUCTION F. J. MONKHOUSE Formerly Professor of Geography in the University of Southampton and H. R. WILKINSON Professor of Geography in the University of Hull METHUEN & CO LTD II NEW FETTER LANE LONDON EC4 ; © ig6g and igyi F.J. Monkhouse and H. R. Wilkinson First published goth October igj2 Reprinted 4 times Second edition, revised and enlarged, ig6g Reprinted 3 times Third edition, revised and enlarged, igyi SBN 416 07440 5 Second edition first published as a University Paperback, ig6g Reprinted 5 times Third edition, igyi SBN 416 07450 2 Printed in Great Britain by Richard Clay ( The Chaucer Press), Ltd Bungay, Suffolk This title is available in both hard and paperback editions. -
Graph Visualization and Navigation in Information Visualization 1
HERMAN ET AL.: GRAPH VISUALIZATION AND NAVIGATION IN INFORMATION VISUALIZATION 1 Graph Visualization and Navigation in Information Visualization: a Survey Ivan Herman, Member, IEEE CS Society, Guy Melançon, and M. Scott Marshall Abstract—This is a survey on graph visualization and navigation techniques, as used in information visualization. Graphs appear in numerous applications such as web browsing, state–transition diagrams, and data structures. The ability to visualize and to navigate in these potentially large, abstract graphs is often a crucial part of an application. Information visualization has specific requirements, which means that this survey approaches the results of traditional graph drawing from a different perspective. Index Terms—Information visualization, graph visualization, graph drawing, navigation, focus+context, fish–eye, clustering. involved in graph visualization: “Where am I?” “Where is the 1 Introduction file that I'm looking for?” Other familiar types of graphs lthough the visualization of graphs is the subject of this include the hierarchy illustrated in an organisational chart and Asurvey, it is not about graph drawing in general. taxonomies that portray the relations between species. Web Excellent bibliographic surveys[4],[34], books[5], or even site maps are another application of graphs as well as on–line tutorials[26] exist for graph drawing. Instead, the browsing history. In biology and chemistry, graphs are handling of graphs is considered with respect to information applied to evolutionary trees, phylogenetic trees, molecular visualization. maps, genetic maps, biochemical pathways, and protein Information visualization has become a large field and functions. Other areas of application include object–oriented “sub–fields” are beginning to emerge (see for example Card systems (class browsers), data structures (compiler data et al.[16] for a recent collection of papers from the last structures in particular), real–time systems (state–transition decade). -
Toward Unified Models in User-Centered and Object-Oriented
CHAPTER 9 Toward Unified Models in User-Centered and Object-Oriented Design William Hudson Abstract Many members of the HCI community view user-centered design, with its focus on users and their tasks, as essential to the construction of usable user inter- faces. However, UCD and object-oriented design continue to develop along separate paths, with very little common ground and substantially different activ- ities and notations. The Unified Modeling Language (UML) has become the de facto language of object-oriented development, and an informal method has evolved around it. While parts of the UML notation have been embraced in user-centered methods, such as those in this volume, there has been no con- certed effort to adapt user-centered design techniques to UML and vice versa. This chapter explores many of the issues involved in bringing user-centered design and UML closer together. It presents a survey of user-centered tech- niques employed by usability professionals, provides an overview of a number of commercially based user-centered methods, and discusses the application of UML notation to user-centered design. Also, since the informal UML method is use case driven and many user-centered design methods rely on scenarios, a unifying approach to use cases and scenarios is included. 9.1 Introduction 9.1.1 Why Bring User-Centered Design to UML? A recent survey of software methods and techniques [Wieringa 1998] found that at least 19 object-oriented methods had been published in book form since 1988, and many more had been published in conference and journal papers. This situation led to a great 313 314 | CHAPTER 9 Toward Unified Models in User-Centered and Object-Oriented Design deal of division in the object-oriented community and caused numerous problems for anyone considering a move toward object technology. -
Infovis and Statistical Graphics: Different Goals, Different Looks1
Infovis and Statistical Graphics: Different Goals, Different Looks1 Andrew Gelman2 and Antony Unwin3 20 Jan 2012 Abstract. The importance of graphical displays in statistical practice has been recognized sporadically in the statistical literature over the past century, with wider awareness following Tukey’s Exploratory Data Analysis (1977) and Tufte’s books in the succeeding decades. But statistical graphics still occupies an awkward in-between position: Within statistics, exploratory and graphical methods represent a minor subfield and are not well- integrated with larger themes of modeling and inference. Outside of statistics, infographics (also called information visualization or Infovis) is huge, but their purveyors and enthusiasts appear largely to be uninterested in statistical principles. We present here a set of goals for graphical displays discussed primarily from the statistical point of view and discuss some inherent contradictions in these goals that may be impeding communication between the fields of statistics and Infovis. One of our constructive suggestions, to Infovis practitioners and statisticians alike, is to try not to cram into a single graph what can be better displayed in two or more. We recognize that we offer only one perspective and intend this article to be a starting point for a wide-ranging discussion among graphics designers, statisticians, and users of statistical methods. The purpose of this article is not to criticize but to explore the different goals that lead researchers in different fields to value different aspects of data visualization. Recent decades have seen huge progress in statistical modeling and computing, with statisticians in friendly competition with researchers in applied fields such as psychometrics, econometrics, and more recently machine learning and “data science.” But the field of statistical graphics has suffered relative neglect.