Is there а librаry functiоn thаt is nоt a reserved wоrd in Python?
Instructiоns The R Mаrkdоwn/Jupyter Nоtebook file includes the questions, the empty code chunk sections for your code, аnd the text blocks for your responses. Answer the questions below by completing the R Mаrkdown/Jupyter Notebook file. You may make slight adjustments to get the file to knit/convert but otherwise keep the formatting the same. Once you've finished answering the questions, submit your responses in a single knitted file as HTML only. Next Steps: 1. Save the .Rmd/.ipnyb in your working directory - the same directory where you will download the "used_device_data.csv" data file into. Having both files in the same directory will help in reading the "used_device_data.csv" file. 2. Read the question and create the code necessary within the code chunk section immediately below each question. Knitting this file will generate the output and insert it into the section below the code chunk. 3. Type your answer to the questions in the text block provided immediately after the response prompt. 4. Once you've finished answering all questions, knit this file and submit the knitted file as HTML on Canvas. Mock Example Question This will be the exam question - each question is already copied from Canvas and inserted into individual text blocks below, you do not need to copy/paste the questions from the online Canvas exam. ```{r}# Example code chunk area. Enter your code below the comment````Mock Response to Example Question: This is the section where you type your written answers to the question. Depending on the question asked, your typed response may be a number, a list of variables, a few sentences, or a combination of these elements. Ready? Let's begin. We wish you the best of luck! Data Set used_device_data.csv (right-click the link and select to open in a new window/tab) Starter TemplatesYou may use either the R Markdown or Jupyter Notebook Starter Template: R Markdown Starter Template: Spring2024_final_exam_starter_template-2.Rmd (right-click the link and select to open in a new window/tab) Jupyter Notebook Starter Template: Spring2024_final_exam_python_starter_template-1.ipynb Spring2024_final_exam_R_starter_template-1.ipynb (right-click the link and select to open in a new window/tab)