Assessment 3 Data Visualisations + Infographics2020/10/4 Page Title file:///C:/Users/User/AppData/Local/Temp/Temp1_Assessment 3.html.zip/Assessment 3.html 1/5 Assessment 3 Data Visualisations + Infographics The ability to take data— to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it— that's going to be a hugely important skill in the next decades. Hal Varian, Google's chief economist (http://www.mckinseyquarterly.com/Hal_Varian_on_how_the_Web_challenges_ managers_2286) The greatest value of a picture is when it forces us to notice what we never expected to see. John W Tukey https://res.cloudinary.com/yumyoshojin/image/upload/v1/pdf/made-in-france.pdfas retrieved on 20 June 2019 Background: Data Visualisations are created with the purpose of literally making sense of data. Often data sets can be so massive and unwieldy that it can be impossible or laborious for a human to process. Through visualisation, we seek to portray data in ways that allow us to visually observe new patterns, that may have been previously hidden. Visualising data is a tool for discovery and designers are well placed to take large or small amounts of data and develop stories to inform the public and weave never before seen narratives for the audience. This brief asks you to identify/select an object, event that is affecting our not sustainable to our planet (a water bottle, humans, factories, plastics, coronavirus, etc. the scope is very wide) Take a photo, draw or visually represent the object/event and collect at least 20 pieces of data (figures/columns/dates, etc.) on that object and translate all of this into a large format poster visualisation.2020/10/4 Page Title file:///C:/Users/User/AppData/Local/Temp/Temp1_Assessment 3.html.zip/Assessment 3.html 2/5 With the purpose to informing an audience of any aspects of the data. -Data Visualisation VS. Info graphic2020/10/4 Page Title file:///C:/Users/User/AppData/Local/Temp/Temp1_Assessment 3.html.zip/Assessment 3.html 3/52020/10/4 Page Title file:///C:/Users/User/AppData/Local/Temp/Temp1_Assessment 3.html.zip/Assessment 3.html 4/5 The first image is a data visualisation, the second is an info graphic- it does not use a data set to produce an outcome. - Info graphic - is graphically presented information - such as the High Rise Zoo above. The appearance is not directly, specifically or strictly related to data. - Data Visualisation - is literally the visual presentation of data sets, such as the 'EPA Report' piece above. Objectives 1. With written data alone, there is often little impact; facts and figures can be boring and not reach an audience outside the field which produces them. 2. The story surrounding the data, can draw you in through use of colour, illustration, typography and composition and educates the audience using the data in a compelling and convincing application. 3. The facts and figures develop a new 'life' and reach an audience that they would otherwise have not. Target Audience The target audience is sophisticated, 20+ emerging professionals who love social networking and traveling, they mostly still live at home and are well educated. Strategy Develop a conceptual approach to the data visualisation that maximizes the key message of ways to help our planet. (Change Driven Strategy) Consider and be informed by the advertising approaches from our brief 1. You are aiming to tell a story and to design that story in this creative brief. Settle on your object/event and gather data for your visualisation. There are many formal and freely available sources to gain data, such the Australian Bureau of Statistics. You will need to cite the sources in your journal etc. Research the following to start you off: http://www.visualisingdata.com http://en.unesco.org/ http://www.scribd.com/doc/23772462/Carbon-Emissions Considerations The design challenge is to engage your audience through a story that you will construct from the object and its data. Your story has to be data driven. When you have your data and story, you will start the concept and ideation stages of the deign process, developing the visual style, typography, the icons, and info graphic component yourself. The following needs to be taken into consideration and also directly reflected on in the submission document.2020/10/4 Page Title file:///C:/Users/User/AppData/Local/Temp/Temp1_Assessment 3.html.zip/Assessment 3.html 5/5 • What is the editorial focus/perspective of the visualisation? (For example: contradict commonly heald beliefs vs. support/bolster them; surprise, anger, offer hope, etc.) • What is the narrative of your data visualisation? (What story is being told?) • Who is your audience? (Refine specificity of provided audience) • What is the reason for the data's existence? (how/why is it important?) • What function is it seeking to fulfill? (related to editorial focus, but in relation to just data as opposed to overall design of visualisation) • What is the likely tone of the data visualisation you're intending to portray? Time Lines Week 8: Introduction to brief 3 Week 9: In seminar workshop on data viz Week 10: Group critiques Week 11: Print + Present in allocated seminars. Submit digital to Cloud Deakin by the end of the week 11. 8pm on Sunday 4th of October Deliverables 2 x PDFs including the following. PDF 1 1 data visualisation as a large format poster PDF 2 Visual research and process development as has been outlined in previous two briefs. All work that is not the students own requires a citation as per academic conventions (APA style) Assessment Criteria This task assesses your achievement of these Unit Learning Outcome(s) ULO 2: Research and evaluate expectations of industry and the functions, processes, languages and materials of a range of complex design scenarios. ULO 3: Demonstrate engagement with advanced ideation and the synthesis of theory and practice of design. This task assesses your achievement of these Graduate Learning Outcome(s) GLO 4: Critical thinking: evaluating information using critical and analytical thinking and judgment GLO 5: Problem solving: creating solutions to authentic (real world and ill defined) problems |