Assignment Topic S1 2022Life before and after COVID-19As the world starts transitioning to a post-COVID state, people are wondering exactly whatwas the impact COVID and are we showing signs of going back to the way it was before, orare some changes here to stay? We know that a lot of people got sick and died during theworst of the pandemic, but what about other aspects of our lives? In LAB 1 we looked at somedata that indicated pet ownership increased in Australia between 2019 and 2021. In this assignment topic you will need to find and critique 2-3 visualisations related to the im-pact of the COVID pandemic and subsequent recovery (or not). Try to avoid visualisations showing death/sickness/infection rates directly attributable to COVID. Rather find some lessobvious ways in which the pandemic has left its mark on the world.

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School of Software and Electrical Engineering COS30045 Data Visualisation Assignment ILO Critically evaluate data visualisations and propose improvements based on an understanding of human perception and cognition and data visualisation design principles. Generic skills Communication skills Ability to tackle unfamiliar problems Ability to work independently Purpose: The ability to analyse existing visualisations and provide suggestions for improvement is a valu- able skill. It will help you develop an understanding of the principles of good design. In this assessment your task is to find and critique visualisations related to assignment topic (see below). Do not choose a visualisation that has been discussed in a blog or text book etc. Try looking in newspapers, information style websites and scientific papers. Individual As- This assessment is worth 20% of the unit. sessment It is graded out 20 marks. Submit via Canvas. No resubmissions are allowed for this task. Resources: Monash Universities Learning Support website for more assistance with academic writing. Swinburne Library guide on how to reference Deliverables Completion of FSET Academic Integrity Unit Report on visualisations used in specific domain Marking Criteria Report must demonstrate an understanding of: the context of the current semesters Topic data encoding guidelines (ie what marks and channels are suitable for particular types of data) data visualisation guidelines Use in-text referencing and reference section according to Harvard style where appropriate See the end of this document for a comprehensive marking guide for this assessment. Additional Criteria Visual presentation, English expression and academic integrity Due Monday Week 6 Word Limit 1,500 (min) to 2,500 (max) words Late Penalty 10% of achieved mark per dayData Visualisation Assignment Assignment Topic S1 2022 Life before and after COVID-19 As the world starts transitioning to a...

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