代写Final Project: Energy Prices and Behaviour of Prosumers帮做R编程

Final Project: Energy Prices and Behaviour of Prosumers

Overview

In this final project, you will demonstrate the concepts and skills that you have acquired in this course by exploring and presenting data from energy prosumers. This consists of writing an R QMD document presenting four questions and answers. Three of these questions must come from the list below (Questions). The remaining question is up to you. Your answers should be make use of data to create numeric summaries and visualizations, and be clear and concise. The exact specifications for the document are below in the Instructions section.

Instructions

Write an R QMD document, in the style. of a report, according to the specifications below, and submit both (1) the .Qmd source and (2) the rendered .html output to CarmenCanvas.

The document should have FIVE sections: introduction and 4 question and answers.

The first section should contain the code you use to load any packages that you use, load and clean the data, and it should explain concisely what you have done.

For each of the remaining sections, clearly state and answer a question related to the data. Three of the questions you answer should come from the Questions section below. The other one is up to you, but the questions should be interesting (to you at least) and you should make use of a skill that you have acquired from this course in order to answer the question.

In your question and answer sections you should do the following.

   o Your code should be written using functions where appropriate (do not violate DRY!).

   o Highlight a technique that you have learned from the course and the module that it comes from.

   o When appropriate, use visualization to support your answer and text to describe what your visualization shows.

   o Label your plots so that they can be easily understood.

The total length of your. Qmd file should not exceed 600 lines, with about 80 characters per line.

Do not present computer output without any explanation.

Do not use any statistical modeling that you have learned from another course; for example,




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