I need a detailed structure for this problems: You are asked to carry out an analysis of a dataset and to present your findings in the form of a maximum of two (2) visualisations, (or a single (1) dashboard comprising a set of linked sub-visualisations) along with an evaluation of your work. You should find one or more freely available dataset(s) on any topic, (with a small number of restrictions, see below) from a reliable source. You should analyse this data to determine what the data tells you about its particular topic and should visualise this data in a way that allows your chosen audience to understand the data and what the data shows. You should create a maximum of two (2) visualisations of this data that efficiently and effectively convey the key message from your chosen data. It should be clear from these visualisations what the message from your data is. You can use any language or tool you like to carry out both the analysis and the visualisation, with a few conditions/restrictions, as detailed below. All code used must be submitted as part of the coursework, along with the data required, and you must include enough instructions/information to be able to run the code and reproduce the analysis/visualisations. You should create a short (~4-5 page, ~2000 words) reflective evaluation of the success (or not!) of your completed visualisation(s). This evaluation should critically discuss the visualisations you have created, and should relate this discussion to the visualisation principles we have discussed in the module. It must *not* just be a description of what the visualisations show and what they tell us about the data. It should cover *why* your visualisations do a good job of communicating the information that you have found out about your data. You should comment on their strengths and weaknesses, and any improvements you would like to make to them in future.