Question 1: CRITICAL EVALUATIONSNow that you have learnt about the definition of data visualisation and the key principles that distinguish good from bad visualisation design (trustworthy, accessible, elegant), undertake some reflective evaluations on any visualisation you come across. It might be your own work, it might be work you receive from others or it could be just work from around the web. There are hundreds being shared on a daily basis online via social media, blogs and news media, you wont struggle to find any! (If you do, check out the reading materials alongside each chapter and youll find many examples). Give yourself time to fully immerse yourself and experience each one (whether small and instant or long and involving) and consider the following prompts:What one word describes how you instinctively feel about the work within the first 5-10 seconds? Is it positive or negative? what are the good/bad thing about your datasetVery subjective but do you like the visualisation (might be the subject or visual form)? What score on a scale of 0 to 10 would you give it (10 is best)? Consider what factors influenced your ratings?Rate it based on how much its easy or hard to learnAnd how much you think it can be utilized in your professionDo you feel the project successfully and sufficiently facilitates understanding (does it help you learn something about the subject matter or, at least, confirm/reinforce what you already knew)? What score on a scale of 0 to 10 would you give it (10 is best)? Consider what factors influenced your ratings?Consider the projects effectiveness or otherwise in demonstrating the principles of trustworthy, accessible and elegant design: where does it succeed and where does it fail?What are the things that you think u did well in the project and what are the things that you think you need more time to learnWhilst you may not know much about the projects hidden context, what would you do differently? How would you help to get these pair of ratings higher towards the maximum of 10?