This document discusses infographics, providing reasons for their use and guidelines for effective design. It notes that infographics can change perspectives by processing images faster than text. The design process takes five steps: skeleton charts, color scheme, graphics, research, and ensuring factual knowledge. Both static and dynamic infographics can be used, combining abstract and figurative elements. Challenges include selecting meaningful data and determining the target audience. Various online tools are presented for creating infographics, along with examples from energy policy organizations.
These seven principles come from excellent research conducted by RE Mayer, J Sweller et al. Use them as a guide for your documents and presentations, and you won't go far wrong.
Infographics for Nonprofits - Forefront Member Breakfast SeriesForefront
Subtitled, "When Good Fact Sheets Go Bad," Delia Coleman and Kathleen Murphy of Forefront discuss the do's and don'ts of nonprofit infographics. This deck covers the basics of visual storytelling, proper data use, and design principles for non-designers.
This document provides an overview of how to create infographics. It discusses project planning, visual design principles like Gestalt theory, typography, graphics, information structure, navigation, and usability. It defines infographics and different types including informative, persuasive, advertisements, PR, visual explanations, and posters. It also discusses online infographic formats and how tall vertical designs are better for online viewing compared to wide horizontal designs that require side scrolling.
This document provides tips and principles for designing effective infographics. It discusses popular infographic design tools and templates. It also summarizes the guidelines of statistician Edward Tufte, who advocated showing data clearly without distorting or disguising it. Examples are given of good infographic design that follows Tufte's principles as well as "chart junk" examples that do not effectively display data. The document concludes with discussing principles of professional business charts and effective use of color, text, and visual elements in infographic design.
Data and Information Visualization: the Principles of Infographics - English ...Bijan Yavar
The document is a presentation by Bijan Yavar on the principles of infographics. It begins with defining infographics and data visualization. It then discusses the history and types of infographics, including static, dynamic, interactive and physical infographics. The presentation covers the traditional vs modern methods of presenting data and the structure and components of an infographic. It demonstrates infographic examples and concludes with a discussion of software skills needed for infographic design and a final examination.
These seven principles come from excellent research conducted by RE Mayer, J Sweller et al. Use them as a guide for your documents and presentations, and you won't go far wrong.
Infographics for Nonprofits - Forefront Member Breakfast SeriesForefront
Subtitled, "When Good Fact Sheets Go Bad," Delia Coleman and Kathleen Murphy of Forefront discuss the do's and don'ts of nonprofit infographics. This deck covers the basics of visual storytelling, proper data use, and design principles for non-designers.
This document provides an overview of how to create infographics. It discusses project planning, visual design principles like Gestalt theory, typography, graphics, information structure, navigation, and usability. It defines infographics and different types including informative, persuasive, advertisements, PR, visual explanations, and posters. It also discusses online infographic formats and how tall vertical designs are better for online viewing compared to wide horizontal designs that require side scrolling.
This document provides tips and principles for designing effective infographics. It discusses popular infographic design tools and templates. It also summarizes the guidelines of statistician Edward Tufte, who advocated showing data clearly without distorting or disguising it. Examples are given of good infographic design that follows Tufte's principles as well as "chart junk" examples that do not effectively display data. The document concludes with discussing principles of professional business charts and effective use of color, text, and visual elements in infographic design.
Data and Information Visualization: the Principles of Infographics - English ...Bijan Yavar
The document is a presentation by Bijan Yavar on the principles of infographics. It begins with defining infographics and data visualization. It then discusses the history and types of infographics, including static, dynamic, interactive and physical infographics. The presentation covers the traditional vs modern methods of presenting data and the structure and components of an infographic. It demonstrates infographic examples and concludes with a discussion of software skills needed for infographic design and a final examination.
This document provides guidance on principles of data visualization. It discusses why we visualize data, such as to communicate findings and inspire action. The visualization process involves getting and cleaning data, setting goals, and choosing visual types based on the data and audience. Effective use of color, narrative, and networks are also covered. The document emphasizes knowing the audience to select the right visual type and story to engage them. Overall it provides a helpful overview of best practices for data visualization design and communication.
Creating a Motion Infographic for LearningShalin Hai-Jew
A motion infographic is a two-dimensional flat-plane image that includes some elements of motion. What does it take to create such a learning visual from scratch? What are ways to use motion to drive understandings? What types of learning contents are amenable to this treatment? This session describes some considerations about the creation of such a learning resource, using Adobe Animate and Adobe Media Encoder primarily.
The three motion visuals included are animated gifs (vs. videos). They should play if the PowerPoint is downloaded.
This paper explores visual information flows (VIFs) in infographics through the automatic analysis of a large dataset of infographics. The authors develop a method to extract visual elements from infographics and construct VIFs. They define a taxonomy of main VIF design patterns categorized by dimensions like backbone shape and content placement. The goal is to understand common infographics design patterns to support novice designers. The paper contributes an analysis method, VIF taxonomy, search system, and large annotated infographic dataset. However, the datasets and tools mentioned are now unavailable.
DataToon is an authoring tool that allows users to create data comics about dynamic networks using pen and touch interactions on a single interface. It was designed with three goals in mind: 1) to support the creation of data comics through direct manipulation of visual elements and automatic propagation of designs, 2) to enable data-driven design through recommendations and automatic panel generation, and 3) to facilitate exploration and ideation through multiple layout templates and panel suggestions. An evaluation through a qualitative reproduction study found that users were able to learn DataToon and appreciated its focused set of tools for bridging data analysis and storytelling. Future work could focus on generalizing the tool to support other data types and visualizations.
Visualizing data tells compelling stories that increase research impact. It is important to know the audience and find the key story or message in the data. The type of visualization should be chosen based on the data, goals, and audience. Effective use of color, choosing the right visualization type, and understanding visual literacy principles are important for communicating with visualizations.
Visualizing data tells compelling stories that increase research impact. It is important to know the audience and find the key story or message in the data. The type of visualization should be chosen based on the data, goals, and audience. Effective use of color, choosing the right visualization type, and understanding visual literacy principles are important for communicating with visualizations.
Seattle DAA - Data Visualization - Russell Spangler December 2019 Russell Spangler
I presented at the Seattle DAA conference on Microsoft's conference. Presentation goes over principals and tips of data visualization and talks about inspiration on how to build awesome visuals!
Data visualization in data science: exploratory EDA, explanatory. Anscobe's quartet, design principles, visual encoding, design engineering and journalism, choosing the right graph, narrative structures, technology and tools.
Presentation offered at the 2014 Summer Institute on Distance Learning and Instructional Technology (SIDLIT). See http://www.powtoon.com/show/gb2nTCbyxre/data-visualization/ for Video.
This document provides an overview of Kerry Dirks' experience and expertise in information architecture (IA). It discusses key IA concepts like structure, organization, labeling, search, and navigation. It also addresses the importance of IA, some common challenges, and how IA can be measured and improved over time with tools like wireframing, online whiteboards, keyword analysis, and card sorting. The goal is to help translate business objectives and user needs into an effective information design.
Visualizing Healthcare Data with Tableau (Toronto Central LHIN Presentation)Stefan Popowycz
This is the presentation I gave to the Toronto Central LHIN about using Tableau to visualizing healthcare metrics (April 16 2013). I also have a section on how Information Design best practices can be leveraged in order to effectively communicate your key messages to your end users.
Graphic design is a form of visual communication that uses images, text, and design elements to convey a message. It involves creating visual representations of ideas and information to get across intended messages in various media such as logos, brochures, posters, and digital formats. Effective graphic design organizes information for clarity and expression according to principles of visual perception and composition. It aims to inform and influence audiences through meaningful visual design.
This document provides an overview of data visualization and Tableau software. It defines data visualization as visually representing data to help convey information and insights. It then discusses different types of data visualization techniques like graphs, diagrams, timelines and more. The document also introduces Tableau software, describing it as a tool for interactive data visualization and dashboard creation. It outlines Tableau's features, workspace, different chart types, and provides steps for performing basic data analysis and visualization in Tableau Public.
Module 4: Data visualization (8 hrs)
Introduction, Types of data visualization, Data for visualization: Data types, Data encodings, Retinal variables, Mapping variables to encodings, Visual encodings, Data Visualization in Python-Superset or in Microsoft Power BI
Infographics combine graphical elements and text to convey relationships, processes, narratives, or arguments. They visualize quantitative data through charts, graphs, or maps. While data may seem objective, infographics reflect subjective human creativity and perspective. People bring biases to how they interpret visualizations, such as preferring ones confirming existing beliefs. Effective infographics attract and maintain attention through design features like comparison, animation, and interactivity. However, not all have time or skills to deeply interpret complex visualizations. Infographics are often used persuasively, though their trustworthiness depends on source. Simple online tools enable infographic creation, but much data resides behind paywalls, as firms monetize users' passive data generation.
First of a series of workshops, aimed to give business managers and engineers an exposure to design concepts. This presentation covers User Experience Concepts, Graphic Design Fundamentals, UI Trends, Cool tools people can use, and an overview of iOS/Android technical specs for UI.
The graphic design course is 4 months long and covers a variety of modules including computer applications, multimedia presentations, drawing, image editing with Photoshop, digital drawing with Illustrator, and publishing with InDesign. Students will learn software like Photoshop, Illustrator, InDesign, PowerPoint, and Flash. The course aims to teach students how to use their artistic skills and creativity to produce visual designs for various media like magazines, websites, and advertising.
This document provides an overview of an informational webinar about infographics. It defines infographics as visual representations of data, information, or knowledge that present complex topics quickly and clearly. Examples of effective infographics are shown and tools for creating infographics are discussed. Key points covered include evaluating infographics, using infographics in courses, sources for finding existing infographics, and creating original infographics using various free online tools and image editors.
Lunch & Learn: Information Design and Healthcare Data (UHN Human Factors)Stefan Popowycz
Stefan Popowycz presented on information design and data visualization. He discussed his role at the Canadian Institute for Health Information developing the Canadian Hospital Reporting Project, which included creating interactive visualizations of healthcare data. He covered key aspects of information design like defining messages, analyzing data types, using effective typography and color, and considering layout and design. Examples from the CHRP solutions demonstrated best practices.
In this presentation, you'll learn how to establish foundational project practices to design and deliver digital products.
Topics that are covered:
- Building flexible teams and engagement models
- Matching design tools with expected outcomes
- Creating (and maintaining) a design-focused project plan
- Preparing for recruiting and testing
Slides by Ian Cox, SVP of Delivery at Cantina
This document provides guidance on principles of data visualization. It discusses why we visualize data, such as to communicate findings and inspire action. The visualization process involves getting and cleaning data, setting goals, and choosing visual types based on the data and audience. Effective use of color, narrative, and networks are also covered. The document emphasizes knowing the audience to select the right visual type and story to engage them. Overall it provides a helpful overview of best practices for data visualization design and communication.
Creating a Motion Infographic for LearningShalin Hai-Jew
A motion infographic is a two-dimensional flat-plane image that includes some elements of motion. What does it take to create such a learning visual from scratch? What are ways to use motion to drive understandings? What types of learning contents are amenable to this treatment? This session describes some considerations about the creation of such a learning resource, using Adobe Animate and Adobe Media Encoder primarily.
The three motion visuals included are animated gifs (vs. videos). They should play if the PowerPoint is downloaded.
This paper explores visual information flows (VIFs) in infographics through the automatic analysis of a large dataset of infographics. The authors develop a method to extract visual elements from infographics and construct VIFs. They define a taxonomy of main VIF design patterns categorized by dimensions like backbone shape and content placement. The goal is to understand common infographics design patterns to support novice designers. The paper contributes an analysis method, VIF taxonomy, search system, and large annotated infographic dataset. However, the datasets and tools mentioned are now unavailable.
DataToon is an authoring tool that allows users to create data comics about dynamic networks using pen and touch interactions on a single interface. It was designed with three goals in mind: 1) to support the creation of data comics through direct manipulation of visual elements and automatic propagation of designs, 2) to enable data-driven design through recommendations and automatic panel generation, and 3) to facilitate exploration and ideation through multiple layout templates and panel suggestions. An evaluation through a qualitative reproduction study found that users were able to learn DataToon and appreciated its focused set of tools for bridging data analysis and storytelling. Future work could focus on generalizing the tool to support other data types and visualizations.
Visualizing data tells compelling stories that increase research impact. It is important to know the audience and find the key story or message in the data. The type of visualization should be chosen based on the data, goals, and audience. Effective use of color, choosing the right visualization type, and understanding visual literacy principles are important for communicating with visualizations.
Visualizing data tells compelling stories that increase research impact. It is important to know the audience and find the key story or message in the data. The type of visualization should be chosen based on the data, goals, and audience. Effective use of color, choosing the right visualization type, and understanding visual literacy principles are important for communicating with visualizations.
Seattle DAA - Data Visualization - Russell Spangler December 2019 Russell Spangler
I presented at the Seattle DAA conference on Microsoft's conference. Presentation goes over principals and tips of data visualization and talks about inspiration on how to build awesome visuals!
Data visualization in data science: exploratory EDA, explanatory. Anscobe's quartet, design principles, visual encoding, design engineering and journalism, choosing the right graph, narrative structures, technology and tools.
Presentation offered at the 2014 Summer Institute on Distance Learning and Instructional Technology (SIDLIT). See http://www.powtoon.com/show/gb2nTCbyxre/data-visualization/ for Video.
This document provides an overview of Kerry Dirks' experience and expertise in information architecture (IA). It discusses key IA concepts like structure, organization, labeling, search, and navigation. It also addresses the importance of IA, some common challenges, and how IA can be measured and improved over time with tools like wireframing, online whiteboards, keyword analysis, and card sorting. The goal is to help translate business objectives and user needs into an effective information design.
Visualizing Healthcare Data with Tableau (Toronto Central LHIN Presentation)Stefan Popowycz
This is the presentation I gave to the Toronto Central LHIN about using Tableau to visualizing healthcare metrics (April 16 2013). I also have a section on how Information Design best practices can be leveraged in order to effectively communicate your key messages to your end users.
Graphic design is a form of visual communication that uses images, text, and design elements to convey a message. It involves creating visual representations of ideas and information to get across intended messages in various media such as logos, brochures, posters, and digital formats. Effective graphic design organizes information for clarity and expression according to principles of visual perception and composition. It aims to inform and influence audiences through meaningful visual design.
This document provides an overview of data visualization and Tableau software. It defines data visualization as visually representing data to help convey information and insights. It then discusses different types of data visualization techniques like graphs, diagrams, timelines and more. The document also introduces Tableau software, describing it as a tool for interactive data visualization and dashboard creation. It outlines Tableau's features, workspace, different chart types, and provides steps for performing basic data analysis and visualization in Tableau Public.
Module 4: Data visualization (8 hrs)
Introduction, Types of data visualization, Data for visualization: Data types, Data encodings, Retinal variables, Mapping variables to encodings, Visual encodings, Data Visualization in Python-Superset or in Microsoft Power BI
Infographics combine graphical elements and text to convey relationships, processes, narratives, or arguments. They visualize quantitative data through charts, graphs, or maps. While data may seem objective, infographics reflect subjective human creativity and perspective. People bring biases to how they interpret visualizations, such as preferring ones confirming existing beliefs. Effective infographics attract and maintain attention through design features like comparison, animation, and interactivity. However, not all have time or skills to deeply interpret complex visualizations. Infographics are often used persuasively, though their trustworthiness depends on source. Simple online tools enable infographic creation, but much data resides behind paywalls, as firms monetize users' passive data generation.
First of a series of workshops, aimed to give business managers and engineers an exposure to design concepts. This presentation covers User Experience Concepts, Graphic Design Fundamentals, UI Trends, Cool tools people can use, and an overview of iOS/Android technical specs for UI.
The graphic design course is 4 months long and covers a variety of modules including computer applications, multimedia presentations, drawing, image editing with Photoshop, digital drawing with Illustrator, and publishing with InDesign. Students will learn software like Photoshop, Illustrator, InDesign, PowerPoint, and Flash. The course aims to teach students how to use their artistic skills and creativity to produce visual designs for various media like magazines, websites, and advertising.
This document provides an overview of an informational webinar about infographics. It defines infographics as visual representations of data, information, or knowledge that present complex topics quickly and clearly. Examples of effective infographics are shown and tools for creating infographics are discussed. Key points covered include evaluating infographics, using infographics in courses, sources for finding existing infographics, and creating original infographics using various free online tools and image editors.
Lunch & Learn: Information Design and Healthcare Data (UHN Human Factors)Stefan Popowycz
Stefan Popowycz presented on information design and data visualization. He discussed his role at the Canadian Institute for Health Information developing the Canadian Hospital Reporting Project, which included creating interactive visualizations of healthcare data. He covered key aspects of information design like defining messages, analyzing data types, using effective typography and color, and considering layout and design. Examples from the CHRP solutions demonstrated best practices.
In this presentation, you'll learn how to establish foundational project practices to design and deliver digital products.
Topics that are covered:
- Building flexible teams and engagement models
- Matching design tools with expected outcomes
- Creating (and maintaining) a design-focused project plan
- Preparing for recruiting and testing
Slides by Ian Cox, SVP of Delivery at Cantina
3. Principles for infographics (1)
• serve a purpose
• induce the viewer
• encourage the eye
• avoid distortion
• statistics verbal
• qualitative information
• condense, not oversimplify ‘chart junk’
4. Reasons for making infographics
• 50% of the human brain is dedicated to visual functions
• images are processed faster than text
• infographic can change your perspective
• design is about solving problems and finding solutions
• impact of visualization (color, graphical, icons)
5. Design takes five steps
• skeleton & flow charts
• color scheme
• graphics: theme, reference
• research and data
• knowledge: facts and deductions
6. How and what?
• static (weather map) or dynamic (‘buienradar’)
• abstract + figurative (mostly a combination)
• interactive (clickable map)
• design elements: data, target group, structure, design, storytelling,
emotion, humor
7. Other
• 6 components of visual encoding: spatial, marks, connection, enclosure,
retinal properties, temporal encoding
• 3 basic provisions of communication: appeal, comprehension, retention
• 5 types of visualization: time-series, statistical distributions, maps,
hierarchies, networking
8. Challenges for DIY
• selection of data
• determine target group (expert or layman)
• ‘function follows form’?
• nice (design) and effective information (design)
• choose the right tool
• if a picture is not worth a 1000 words to h..ll with it
• no graphics if not functional
• not a one-person-job
26. Links (1)
• http://en.wikipedia.org/wiki/Infographic
• Examples of chart junk: http://galacticacorp.com/eman//EVODES/examples.htm
• TED Talk on presenting data to the public:
http://www.ted.com/talks/david_mccandless_the_beauty_of_data_visualization?language=nl
• Recipe for an infographic: http://0-files.eric.ed.gov.opac.msmc.edu/fulltext/EJ1045949.pdf
• Design Principles: http://www.cs.sfu.ca/~torsten/Teaching/Cmpt467/LectureNotes/02_design.pdf
• Tufte’s Design Principles: https://www.yumpu.com/en/document/view/19829404/tuftes-design-
principles
• Data visualization (Luuk Beurskens): file:///P:Group 5 REStaffBeurskens_data_vizualisation
• Inspiration: www.informationisbeautiful.net; http://datavisualization.ch
• Napoleon’s March to Moscow:
http://en.wikipedia.org/wiki/Charles_Joseph_Minard#/media/File:Minard.png
27. Links (2)
• Nationale Energieverkenning (NEV): https://www.ecn.nl/nl/energieverkenning/
• NAMA Status Report:
http://www.mitigationmomentum.org/downloads/Mitigation_Momentum_Annual_Status_Report_N
ov_2014.pdf
• PBL Infographics: http://www.pbl.nl/publicaties/infographic?
• Examples of data visualization software:
– SmartDraw: http://www.smartdraw.com/
– Google Chart: https://developers.google.com/chart/
– Tableau: http://www.tableau.com/
– Infogr.am: https://infogr.am/
– Easel.ly: http://www.easel.ly/
– Dipity: http://www.dipity.com/
– Vizualize.me: http://vizualize.me/
28. www.ecn.nl
Thank you!
Manuela Loos and Hillebrand Verkroost
Energy research Centre of the Netherlands
Unit Policy Studies
Amsterdam, 21 April 2015
Editor's Notes
Over the past few years infographics have become an increasingly popular way of visualizing data in conjunction with pictures, images, icons, charts and other visual elements. Within Policy Studies we have noticed a growing interest in using infographics, in publications such as NEV or Energy Trends 2014, on project websites, presentations, or other outreach activities.
Graphic information has always been a powerful way of engaging the human spirit. Facts, figures and expert analysis have great power for persuasion, and it can be a challenge to present information in the most effective way to capture (and convince?) your audience.
This presentation will outline some information on infographics, our options within Policy Studies and some consideration on outsourcing these matters to graphic designers.
The question to the audience was whether or not the left-most traffic sign could be considered as an infographic. Half of the audience said yes. They were partly right, because the traffic sign gives information in a graphical form. However, according to some principles and definitions for infographics, there is more to it (see next slide).
In combination with the other two, similar traffic signs, the three can be considered, although very simple, as an infographic while one can connect it with a story, timeline, development (old against new, perception, trend, social aspects).
source: ‘The Visual Display of Quantitative Information’ by Edward Tufte (1983, 2nd edition); contains do’s and don’ts; focuses on graphical design, but still used for current infographics
source: Wikipedia, Infographic (http://en.wikipedia.org/wiki/Infographic)
serve a purpose: show a trend, show relations between data, cause effect, tell a story, describe a process
do not use graphics to decorate a few numbers
induce the viewer to think about the substance, rather than methodology, design, production, etc.
show the data: graphics is intelligence made visible
encourage the eye to compare data; colors, design
reveal the data from broad to fine
avoid distortion: in other words, do not lie
chart junk:
decoration that causes confusion
do not let room for misinterpretation
use of distracting colors
examples of chart junk: http://galacticacorp.com/eman//EVODES/examples.htm
TED Talk on presenting data to the public: http://www.ted.com/talks/david_mccandless_the_beauty_of_data_visualization?language=nl
Willen we dieper op de materie ingaan dan moeten we misschien de ‘bijbel’ voor InfoGraphics ‘The Visual Display of Quantitative Information’ van Edward Tufte aanschaffen. Daarin wordt wat ‘graphical displays’ zouden moeten bewerkstelligen als volgt gedefinieerd:
Show the data
Induce the viewer to think about the substance rather than about methodology, graphic design, the technology of graphic production or something else
Avoid distorting what the data have to say
Present many numbers in a small space
Make large data sets coherent
Encourage the eye to compare different pieces of data
Reveal the data at several levels of detail, from a broad overview to the fine structure
Serve a reasonably clear purpose: description, exploration, tabulation or decoration
Be closely integrated with the statistical and verbal descriptions of a data set.
Hoewel tegenwoordig InfoGraphics vaak ook kwalitatieve informatie bevatten kunnen voornoemde ‘regels’ van Tufte nog steeds in brede zin worden toegepast. Volgens Tufte is de functie van data-visualisatie ‘to represent every data point accurately and enable a viewer to see trends and patterns in the data’.
Waarvoor echter moet worden gewaakt is om data in een InfoGraphic teveel te ‘versimpelen’ (‘over-simplification’). Tufte noemt dergelijke InfoGraphics ‘chartjunk’: ‘visually appealing to the point of losing the information contained within them’.
infographic can change your perspective: TED Talk on presenting data to the public: http://www.ted.com/talks/david_mccandless_the_beauty_of_data_visualization?language=nl
flow chart simplifies the process of designing an infographic
assign colors to separate e.g. good from bad, items, aspects
theme is the defining visual of the design and reference are mostly icons
data must be backed up by facts
most important content in the middle; or information goes from left to right or top to bottom
Hoewel hierboven is aangegeven dat we ons zo min mogelijk moeten bemoeien met het ontwerpen van een Infographic, hierbij, zonder nadere toelichting, de zes componenten die daarbij een rol spelen: ‘spatial, marks, connection, enclosure, retinal properties and temporal encoding’. De drie communicatie aspecten in het ontwerpen van een InfoGraphic betreffen ‘appeal (engage the audience), comprehension (easy to understand), and retention (easy to remember)’. De volgorde van belangrijkheid in deze communicatieve aspecten wordt bepaald door de doelgroep of het doel van de InfoGraphic.
abstract: icons, symbols
figurative: drawing of equipment, installation, instrument
data: sources, reliability
structure: flowchart; what goes where?
humor, jokes only where appropriate
visual encoding
spatial: most effective in presenting numerical data
marks
connection
enclosure
retinal properties
temporal encoding
communication
appeal: engage the audience
comprehension: information must be easy to understand
retention: easy to remember the information
visualization
time-series: charts, graphs, multiples
statistical distributions: histograms, box-and-whisker plots, scatter plots, etc.
maps
hierarchies: node-link diagrams, adjacency diagrams, enclosure diagrams
networking: about relationships, force-directed layout, arc diagrams, matrix view
In een breder verband volgen hierna enkele opmerkingen over data-visualisatie waarvan de vormen vaak deel uitmaken in InfoGraphics. Ik herinner daarbij ook aan de presentatie die Luuk Beurskens (file:///P:\Group 5 RE\Staff\Beurskens\_data_vizualisation\) enkele maanden geleden over dit onderwerp heeft gegeven. Er zijn 5 categorieën voor data visualisatie:
Time-series data (e.g. charts, graphs)
Statistical distributions (e.g. histograms, plots)
Maps for the representation of geographical data
Hierarchies (diagrams in which for example the size of the elements is determined by the statistical data)
Networking (explores relationships)
Meestal worden in InfoGraphics meerdere categorieën tegelijk gebruikt.
selection not to be done by those who created or collected the data: they consider all the data to be important. However, it seems to be appropriate to mention the fact that for an expert it can be a good ‘exercise’ to be able to explain a complex problem to a less informed public
in most cases infographics are not useful for the experts, but for interested laymen, policy makers, executive managers, etc. Also in this case, it should be mentioned that even experts can use infographics to get informed and be triggered to read a report or article related to the infographic
in Excel for every type of figure it is briefly explained what the purpose is of that figure and how it can be applied: ‘form follows function’
A few examples of software (both free and commercial) by means of which infographics can be created: piktochart.com; www.easel.ly; infogr.am; visual.ly; tableausoftware.com/public/; datawrapper.de; creately.com. See also the slides in the second part of this duo-presentation by Manuala Loos
Since there are different expertises required to design and create an infographic it appears in most cases not to be a one-person job (teamwork): data specialist, designer, communicator; ICT-specialist
inspiration: www.informationisbeautiful.net; datavisualization.ch
not a one-person-job: expert for the content, design; outsourcing
In hoeverre BS gebruik zou kunnen (of moeten?) maken van InfoGraphics wordt m.i. vooral bepaald door de geschiktheid van de onderwerpen waar BS zich mee bezig houdt en/of publicaties die (mede) door BS worden uitgebracht. Daarnaast spelen de hierboven in de ‘Tufte bijbel’ genoemde aspecten een rol bij de beslissing of het onderwerp of de publicatie ‘InfoGraphic-waardig’ is. Daarbij moet de primaire rol van de InfoGraphic niet uit het oog worden verloren: een eerste aanzet voor de gebruiker zich te informeren over hetgeen de InfoGraphic aan informatie biedt. Voor verdieping is het nodig meer gedetailleerde achtergrondinformatie te raadplegen.
De doelgroepen van een InfoGraphic zijn volgens mij vooral beleidsmakers, hoger onderwijs en geïnteresseerde leken.
This is a classic example of an infographic from a time where the word infographic did not yet exist:
Napoleons march to Moscow, 1812-183.
This drawing was made by Charles Joseph Minard in 1869.
The graphic is notable for its representation in two dimensions of six types of data:
the number of Napoleon's troops;
distance;
temperature;
the latitude and longitude;
direction of travel;
and location relative to specific dates.
Content marketing is becoming increasingly important in a world where marketing tools are abundant and readily available to any interested user. There are various ways to present our research results and many clients have expressed their interest in more compact and creative ways of presenting project deliverables.
ECN has developed its own visual identity representing its core values. Guidelines and templates based on this visual identity are available on the Intranet. The Communication department is currently working on expansion of the possibilities by facilitating an online brand portal. Besides the general templates and guidelines this will also include a photo and icon gallery.
The cost of creating professional infographics strongly varies. A simple data visualisation starts at € 250. Complexe online infographics, including links a.o. could cost thousands depending on the objectives, the complexity, and the clarity of the assignment.
It is important to discuss the desired end result with the client and reserve budget for data visualisation if possible. We can come a long way with the available online tools within the framework of our company brand, however you may consider opting for a nice infographic over a simple powerpoint chart.
We are looking into appropriate tools and training to upgrade the possibilities and support within our unit. Any suggestions and experiences on the matter are highly appreciated.